<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.3 20210610//EN"  "JATS-archivearticle1-3-mathml3.dtd"><article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.3"><front><journal-meta><journal-id journal-id-type="nlm-ta">elife</journal-id><journal-id journal-id-type="publisher-id">eLife</journal-id><journal-title-group><journal-title>eLife</journal-title></journal-title-group><issn publication-format="electronic" pub-type="epub">2050-084X</issn><publisher><publisher-name>eLife Sciences Publications, Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">96987</article-id><article-id pub-id-type="doi">10.7554/eLife.96987</article-id><article-id pub-id-type="doi" specific-use="version">10.7554/eLife.96987.3</article-id><article-version article-version-type="publication-state">version of record</article-version><article-categories><subj-group subj-group-type="display-channel"><subject>Research Article</subject></subj-group><subj-group subj-group-type="heading"><subject>Cell Biology</subject></subj-group></article-categories><title-group><article-title>JAK-STAT pathway activation compromises nephrocyte function in a <italic>Drosophila</italic> high-fat diet model of chronic kidney disease</article-title></title-group><contrib-group><contrib contrib-type="author" equal-contrib="yes"><name><surname>Zhao</surname><given-names>Yunpo</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-7942-3406</contrib-id><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="equal-contrib1">†</xref><xref ref-type="fn" rid="con1"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" equal-contrib="yes"><name><surname>Duan</surname><given-names>Jianli</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="equal-contrib1">†</xref><xref ref-type="fn" rid="con2"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Seah</surname><given-names>Hannah</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con3"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>van de Leemput</surname><given-names>Joyce</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con4"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Han</surname><given-names>Zhe</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-5177-7798</contrib-id><email>zhan@som.umaryland.edu</email><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con5"/><xref ref-type="fn" rid="conf1"/></contrib><aff id="aff1"><label>1</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/055yg0521</institution-id><institution>Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine</institution></institution-wrap><addr-line><named-content content-type="city">Baltimore</named-content></addr-line><country>United States</country></aff><aff id="aff2"><label>2</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/055yg0521</institution-id><institution>Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine</institution></institution-wrap><addr-line><named-content content-type="city">Baltimore</named-content></addr-line><country>United States</country></aff></contrib-group><contrib-group content-type="section"><contrib contrib-type="editor"><name><surname>Daehn</surname><given-names>Ilse S</given-names></name><role>Reviewing Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/04a9tmd77</institution-id><institution>Icahn School of Medicine at Mount Sinai</institution></institution-wrap><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="senior_editor"><name><surname>Sussel</surname><given-names>Lori</given-names></name><role>Senior Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/03wmf1y16</institution-id><institution>University of Colorado Anschutz Medical Campus</institution></institution-wrap><addr-line><named-content content-type="city">Aurora</named-content></addr-line><country>United States</country></aff></contrib></contrib-group><author-notes><fn fn-type="con" id="equal-contrib1"><label>†</label><p>These authors contributed equally to this work</p></fn></author-notes><pub-date publication-format="electronic" date-type="publication"><day>31</day><month>12</month><year>2025</year></pub-date><volume>13</volume><elocation-id>RP96987</elocation-id><history><date date-type="sent-for-review" iso-8601-date="2024-03-07"><day>07</day><month>03</month><year>2024</year></date></history><pub-history><event><event-desc>This manuscript was published as a preprint.</event-desc><date date-type="preprint" iso-8601-date="2024-03-08"><day>08</day><month>03</month><year>2024</year></date><self-uri content-type="preprint" xlink:href="https://doi.org/10.1101/2024.03.07.583967"/></event><event><event-desc>This manuscript was published as a reviewed preprint.</event-desc><date date-type="reviewed-preprint" iso-8601-date="2024-05-01"><day>01</day><month>05</month><year>2024</year></date><self-uri content-type="reviewed-preprint" xlink:href="https://doi.org/10.7554/eLife.96987.1"/></event><event><event-desc>The reviewed preprint was revised.</event-desc><date date-type="reviewed-preprint" iso-8601-date="2025-05-30"><day>30</day><month>05</month><year>2025</year></date><self-uri content-type="reviewed-preprint" xlink:href="https://doi.org/10.7554/eLife.96987.2"/></event></pub-history><permissions><copyright-statement>© 2024, Zhao, Duan et al</copyright-statement><copyright-year>2024</copyright-year><copyright-holder>Zhao, Duan et al</copyright-holder><ali:free_to_read/><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><ali:license_ref>http://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This article is distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use and redistribution provided that the original author and source are credited.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="elife-96987-v1.pdf"/><self-uri content-type="figures-pdf" xlink:href="elife-96987-figures-v1.pdf"/><abstract><p>Chronic kidney disease is a major health issue and is gaining prevalence. Using a <italic>Drosophila</italic> model for chronic kidney disease, we show that a high-fat diet (HFD) disrupts the slit diaphragm filtration structure in nephrocytes, the fly functional equivalent of mammalian podocytes. The structural disruption resulted in reduced filtration function in the affected nephrocytes. We demonstrate that HFD activates the JAK-STAT pathway in nephrocytes, which has previously been linked to diabetic kidney disease. JAK-STAT activation was initiated by increased expression and release of the adipokine, Upd2, from the fat body. This leptin-like hormone is a known ligand of JAK-STAT. Both genetic and pharmacological inhibition of JAK-STAT restored nephrocyte HFD-associated dysfunction. Altogether, our study reveals the importance of the JAK-STAT signaling pathway in the adipose tissue−nephrocyte axis and its contribution to HFD-associated nephropathy. These findings open new avenues for intervention in treating diabetic nephropathy and chronic kidney disease.</p></abstract><kwd-group kwd-group-type="author-keywords"><kwd>JAK-STAT</kwd><kwd><italic>Drosophila</italic></kwd><kwd>nephrocyte</kwd><kwd>Upd2</kwd><kwd>Pyd</kwd><kwd>slit diaphragm</kwd></kwd-group><kwd-group kwd-group-type="research-organism"><title>Research organism</title><kwd><italic>D. melanogaster</italic></kwd></kwd-group><funding-group><award-group id="fund1"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/00adh9b73</institution-id><institution>National Institute of Diabetes and Digestive and Kidney Diseases</institution></institution-wrap></funding-source><award-id>R01-DK098410</award-id><principal-award-recipient><name><surname>Han</surname><given-names>Zhe</given-names></name></principal-award-recipient></award-group><award-group id="fund2"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/00adh9b73</institution-id><institution>National Institute of Diabetes and Digestive and Kidney Diseases</institution></institution-wrap></funding-source><award-id>R01-DK140937</award-id><principal-award-recipient><name><surname>Han</surname><given-names>Zhe</given-names></name></principal-award-recipient></award-group><funding-statement>The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.</funding-statement></funding-group><custom-meta-group><custom-meta specific-use="meta-only"><meta-name>Author impact statement</meta-name><meta-value>A conserved signaling axis linking <italic>Drosophila</italic> adipose tissue to nephrocyte function reveals how obesity can drive kidney dysfunction and points to new opportunities for therapeutic intervention.</meta-value></custom-meta><custom-meta specific-use="meta-only"><meta-name>publishing-route</meta-name><meta-value>prc</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Chronic kidney disease is a prevalent health issue, with an estimated ~12% of people affected worldwide, many of whom are unaware of their condition (<xref ref-type="bibr" rid="bib16">Coresh, 2017</xref>; <xref ref-type="bibr" rid="bib67">US Department of Health and Human Services and Centers for Disease Control and Prevention (Atlanta, GA), 2023</xref>). The gradual loss of kidney function results in excess fluid and the buildup of metabolic waste compounds. Clinical symptoms include atherosclerosis, chronic inflammation, malnutrition, and insulin resistance among other metabolic imbalances (<xref ref-type="bibr" rid="bib59">Serrano et al., 2023</xref>). Altogether, these lead to increased morbidity and mortality associated with chronic kidney failure (<xref ref-type="bibr" rid="bib9">Bikbov et al., 2020</xref>). Diabetes, high blood pressure, ageing, obesity, and increased BMI are major risk factors for glomerulopathy and chronic kidney disease (<xref ref-type="bibr" rid="bib1">Alizadeh et al., 2019</xref>; <xref ref-type="bibr" rid="bib7">Berthoux et al., 2013</xref>; <xref ref-type="bibr" rid="bib10">Bonnet et al., 2001</xref>; <xref ref-type="bibr" rid="bib16">Coresh, 2017</xref>; <xref ref-type="bibr" rid="bib34">Hsu et al., 2006</xref>; <xref ref-type="bibr" rid="bib49">Moorhead et al., 1982</xref>; <xref ref-type="bibr" rid="bib65">Tsuboi et al., 2013</xref>). Notably, patients with primary kidney disease who are also obese have worsened outcomes (<xref ref-type="bibr" rid="bib7">Berthoux et al., 2013</xref>), and following kidney transplantation, patients with increased BMI are at greater risk of adverse outcomes (<xref ref-type="bibr" rid="bib17">Curran et al., 2014</xref>), with increasing risk as BMI increases (<xref ref-type="bibr" rid="bib34">Hsu et al., 2006</xref>). The link between dietary fat intake and kidney disease has raised interest in the adipose-renal axis; that is, how do bodily fat deposits affect kidney function?</p><p>Podocytes from patients with chronic kidney disease contain lipid droplets that store excess fat (<xref ref-type="bibr" rid="bib30">Herman-Edelstein et al., 2014</xref>; <xref ref-type="bibr" rid="bib39">Kimmelstiel and Wilson, 1936</xref>). These cause lipotoxicity by disrupting the mitochondria, as well as endocytosis (<xref ref-type="bibr" rid="bib46">Lubojemska et al., 2021</xref>), a process crucial to the kidney filtration structure (<xref ref-type="bibr" rid="bib70">Wang et al., 2021</xref>). Studies in rats and mice on a HFD have repeatedly shown that the animals suffer from obesity, diabetes (altered insulin homeostasis), and kidney injury marked by functional (albuminuria; blood accumulation of BUN and creatinine; increased urinary biomarkers of kidney damage) and structural (glomerulopathy with glomerular hypertrophy and focal segmental glomerulosclerosis; fibrosis) deficiencies (<xref ref-type="bibr" rid="bib2">Altunkaynak et al., 2008</xref>; <xref ref-type="bibr" rid="bib26">Ha et al., 2022</xref>; <xref ref-type="bibr" rid="bib36">Jiang et al., 2005</xref>; <xref ref-type="bibr" rid="bib40">Kuwahara et al., 2016</xref>; <xref ref-type="bibr" rid="bib45">Lu et al., 2003</xref>; <xref ref-type="bibr" rid="bib54">Rangel et al., 2019</xref>; <xref ref-type="bibr" rid="bib56">Ruggiero et al., 2011</xref>; <xref ref-type="bibr" rid="bib57">Sánchez-Navarro et al., 2021</xref>; <xref ref-type="bibr" rid="bib62">Sun et al., 2020</xref>; <xref ref-type="bibr" rid="bib63">Szeto et al., 2016</xref>; <xref ref-type="bibr" rid="bib69">van der Heijden et al., 2015</xref>). Like in patients with chronic kidney disease, lipid droplets have been observed in the kidneys of HFD rats and mice (<xref ref-type="bibr" rid="bib18">Deji et al., 2009</xref>; <xref ref-type="bibr" rid="bib36">Jiang et al., 2005</xref>; <xref ref-type="bibr" rid="bib62">Sun et al., 2020</xref>; <xref ref-type="bibr" rid="bib69">van der Heijden et al., 2015</xref>) and have been associated with dysfunctional cellular systems, including oxidative stress, renal inflammation, ER stress, disruption of mitochondrial dynamics, and impaired autophagy-lysosomal pathway in the cells of the kidneys (<xref ref-type="bibr" rid="bib13">Cai et al., 2024</xref>; <xref ref-type="bibr" rid="bib26">Ha et al., 2022</xref>; <xref ref-type="bibr" rid="bib40">Kuwahara et al., 2016</xref>; <xref ref-type="bibr" rid="bib42">Li et al., 2016b</xref>; <xref ref-type="bibr" rid="bib45">Lu et al., 2003</xref>; <xref ref-type="bibr" rid="bib54">Rangel et al., 2019</xref>; <xref ref-type="bibr" rid="bib56">Ruggiero et al., 2011</xref>; <xref ref-type="bibr" rid="bib57">Sánchez-Navarro et al., 2021</xref>; <xref ref-type="bibr" rid="bib62">Sun et al., 2020</xref>; <xref ref-type="bibr" rid="bib63">Szeto et al., 2016</xref>; <xref ref-type="bibr" rid="bib69">van der Heijden et al., 2015</xref>). Altogether, these indicate the involvement of both local and systemic changes (<xref ref-type="bibr" rid="bib18">Deji et al., 2009</xref>). However, our understanding of the pathways that govern the pathogenic effect of superfluous fat intake on kidney function, as well as how to leverage this knowledge to develop effective therapeutics, remains incomplete.</p><p>Recently, an HFD model in <italic>Drosophila</italic> showed lipotoxicity, i.e., lipid droplet accumulation, in the fly nephrocytes (<xref ref-type="bibr" rid="bib46">Lubojemska et al., 2021</xref>). Nephrocytes share many characteristics with human podocytes, including genetics, molecular pathways, and function (<xref ref-type="bibr" rid="bib71">Weavers et al., 2009</xref>; <xref ref-type="bibr" rid="bib75">Zhang et al., 2013a</xref>; <xref ref-type="bibr" rid="bib76">Zhang et al., 2013b</xref>). Both cell types contain highly specialized filtration structures known as slit diaphragms that act in concert with the basement membrane; the fly lacuna channel is similar to the urinary space in the mammalian Bowman’s capsule; and, many key proteins for podocyte function are likewise essential for nephrocyte function (<xref ref-type="bibr" rid="bib68">van de Leemput et al., 2022</xref>; <xref ref-type="bibr" rid="bib70">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="bib71">Weavers et al., 2009</xref>; <xref ref-type="bibr" rid="bib85">Zhuang et al., 2009</xref>). Indeed, fly in vivo nephrocyte models have been successfully used to study a variety of human kidney diseases, including forms of monogenic nephrotic syndrome and steroid-resistant nephrotic syndrome (SRNS) (<xref ref-type="bibr" rid="bib3">Ashraf et al., 2013</xref>; <xref ref-type="bibr" rid="bib8">Bierzynska et al., 2022</xref>; <xref ref-type="bibr" rid="bib22">Fu et al., 2017</xref>; <xref ref-type="bibr" rid="bib24">Gee et al., 2015</xref>; <xref ref-type="bibr" rid="bib23">Gee et al., 2013</xref>; <xref ref-type="bibr" rid="bib25">Gonçalves et al., 2018</xref>; <xref ref-type="bibr" rid="bib32">Hermle et al., 2018</xref>; <xref ref-type="bibr" rid="bib31">Hermle et al., 2017</xref>; <xref ref-type="bibr" rid="bib48">Milosavljevic et al., 2022</xref>; <xref ref-type="bibr" rid="bib50">Odenthal et al., 2023</xref>; <xref ref-type="bibr" rid="bib51">Paul et al., 2023</xref>; <xref ref-type="bibr" rid="bib79">Zhao et al., 2019</xref>; <xref ref-type="bibr" rid="bib84">Zhu et al., 2017</xref>). The recent study using the HFD <italic>Drosophila</italic> model recapitulated the ectopic lipid droplets and cellular dysfunction observed in chronic kidney disease and found that the adipose-derived triglyceride lipase protects nephrocyte endocytosis under HFD conditions (<xref ref-type="bibr" rid="bib46">Lubojemska et al., 2021</xref>). Here, we used an HFD <italic>Drosophila melanogaster</italic> model of chronic kidney disease to investigate the role and factors of the adipose-renal axis in chronic kidney disease and identified Upd-activated JAK-STAT signaling as a key component.</p></sec><sec id="s2" sec-type="results"><title>Results</title><sec id="s2-1"><title>HFD compromises nephrocyte function</title><p>To investigate the effect of superfluous fat consumption on nephrocyte function, newly eclosed flies were fed a normal fat diet (NFD) or a HFD for 7 days. Then, the flies were subjected to fluorescent dye uptake assays (<xref ref-type="bibr" rid="bib71">Weavers et al., 2009</xref>; <xref ref-type="bibr" rid="bib83">Zhao et al., 2025</xref>) to determine pericardial nephrocyte function. HFD leads to enlarged crop (<xref ref-type="bibr" rid="bib43">Liao et al., 2021</xref>; <xref ref-type="bibr" rid="bib81">Zhao et al., 2023a</xref>), which was used as an indication of food consistency. Compared to the NFD-fed flies, the HFD-fed flies showed reduced FITC-conjugated albumin (FITC-albumin, 66 kD) fluorescence (<xref ref-type="fig" rid="fig1">Figure 1A and B</xref>). Likewise, HFD feeding significantly reduced 10 kD dextran uptake by the nephrocytes (<xref ref-type="fig" rid="fig1">Figure 1C and D</xref>). In line with HFD-caused lipid droplet accumulation in the larval nephrocytes (<xref ref-type="bibr" rid="bib46">Lubojemska et al., 2021</xref>), we observed increased nephrocyte lipid droplets in the adults fed with HFD (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1</xref>). Thus, confirming the HFD model in <italic>Drosophila</italic> for studying kidney disease (<xref ref-type="bibr" rid="bib46">Lubojemska et al., 2021</xref>) and demonstrating that, in our hands, the consumption of superfluous fat caused nephrocyte uptake dysfunction.</p><fig-group><fig id="fig1" position="float"><label>Figure 1.</label><caption><title>High-fat diet compromises nephrocyte function.</title><p>Nephrocytes from control <italic>Drosophila</italic> (<italic>w</italic><sup>1118</sup>, females) fed a regular diet (normal fat diet, NFD) or high-fat diet (NFD supplemented with 14% coconut oil, HFD) for 7 days from eclosion. (<bold>A</bold>) Representative confocal images of nephrocytes show green fluorescence indicative of FITC-albumin uptake. Scale bar: 50 μm. (<bold>B</bold>) Box plot shows the quantitation of the relative fluorescence intensity of FITC-albumin shown in (<bold>A</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; ****<italic>p</italic>&lt;0.0001; n=6 flies. (<bold>C</bold>) Representative confocal images of <italic>Drosophila</italic> nephrocytes (<italic>w</italic><sup>1118</sup>, 7 day-old females) show red fluorescence indicative of 10 kD dextran uptake. Scale bar: 50 μm. (<bold>D</bold>) Box plot shows the quantitation of the relative fluorescence intensity of 10 kD dextran shown in (<bold>C</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; **<italic>p</italic>&lt;0.01; n=6 flies.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig1-v1.tif"/></fig><fig id="fig1s1" position="float" specific-use="child-fig"><label>Figure 1—figure supplement 1.</label><caption><title>High-fat diet leads to lipid droplet accumulation in the nephrocytes.</title><p>(<bold>A</bold>) Nephrocytes from <italic>Drosophila w</italic><sup>1118</sup> fed a regular diet (normal fat diet, NFD) or high-fat diet (HFD, NFD supplemented with 14% coconut oil). Nile red stains lipid droplets in red. Scale bar: 50 μm. (<bold>B</bold>) Quantitation of Sns-mRuby3 protein distribution (cytoplasmic vs membrane); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; ****<italic>p</italic>&lt;0.0001; n=6 flies (7-day-old females).</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig1-figsupp1-v1.tif"/></fig></fig-group></sec><sec id="s2-2"><title>HFD alters nephrocyte morphology</title><p>The slit diaphragm (SD) is the fundamental filtration structure of nephrocytes. Thus, given the HFD-induced dysfunctional uptake, we next tested whether the SD is affected by HFD. Therefore, we looked at the distribution of polychaetoid (Pyd), the fly homolog of human tight junction protein 1 (TJP1, alias ZO-1) and a key component of the SD filtration unit (<xref ref-type="bibr" rid="bib68">van de Leemput et al., 2022</xref>). Immunostaining with anti-Pyd antibody showed predominant membrane localization of Pyd in nephrocytes from NFD-fed flies. At the cortical surface of NFD nephrocytes, Pyd showed the fingerprint-like pattern characteristic of the SD (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). However, in the HFD-fed flies, the SD fingerprint-like pattern appeared irregular and Pyd showed an uneven distribution with spots of increased signal intensity (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). These might correlate to the trails of Pyd seemingly hanging from the cortical surface inside the HFD nephrocytes, along with cytosolic accumulation of Pyd protein (<xref ref-type="fig" rid="fig2">Figure 2A and B</xref>). Next, we used Sns-mRuby3, in which mRuby3 was tagged at the C-terminal of endogenous Sns (<xref ref-type="bibr" rid="bib19">Delaney et al., 2024</xref>; <xref ref-type="bibr" rid="bib83">Zhao et al., 2025</xref>), to verify the HFD effect on SD structure. We observed cytoplasm retention of Sns-mRuby3 in the nephrocytes of HFD-fed flies (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1</xref>). These findings show that a HFD leads to structural disruption of the SD filtration unit in nephrocytes, that likely accounts for the nephrocyte functional deficit observed earlier.</p><fig-group><fig id="fig2" position="float"><label>Figure 2.</label><caption><title>High-fat diet changes nephrocyte morphology.</title><p>Nephrocytes from control <italic>Drosophila</italic> (<italic>w</italic><sup>1118</sup>, 7-day-old females) fed a regular diet (normal fat diet, NFD) or high-fat diet (NFD supplemented with 14% coconut oil, HFD). (<bold>A</bold>) Representative confocal images of <italic>Drosophila</italic> nephrocytes immunostained with anti-polychaetoid (Pyd) in green. Upper panels show cortical surface; Scale bar: 5 μm. Lower panels show subcortical regions; Scale bar: 5 μm. (<bold>B</bold>) Quantitation of Pyd protein distribution (cytoplasmic vs membrane); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; ***<italic>p</italic>&lt;0.001; n=8 nephrocytes (1 nephrocyte/fly) from 7-day-old female flies. (<bold>C</bold>) Transmission electron microscopy (TEM) images of <italic>Drosophila</italic> nephrocyte (<italic>w</italic><sup>1118</sup>, 7-day-old females) cortical regions. Scale bar: 0.5 µm. (<bold>D</bold>) Quantitation of lacuna channel (LC)-LC distance based on images in (<bold>C</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; **<italic>p</italic>&lt;0.01; n=60 LC-LC distance measurements obtained in 10 nephrocytes from six 7-day-old female flies for each group. (<bold>E</bold>) TEM images of <italic>Drosophila</italic> nephrocyte (<italic>w</italic><sup>1118</sup>, 7-day-old females) cytoplasmic regions. Red asterisks indicate large vacuoles. Scale bar: 0.5 µm. (<bold>F</bold>) Quantitation of the vacuoles that contain electron-dense structures based on images in (<bold>E</bold>). The middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; ****<italic>p</italic>&lt;0.0001; n=12 nephrocytes for NFD and 29 nephrocytes for HFD from six 7-day-old female flies.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig2-v1.tif"/></fig><fig id="fig2s1" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 1.</label><caption><title>High-fat diet changes nephrocyte morphology.</title><p>(<bold>A</bold>) Nephrocytes from <italic>Drosophila</italic> (<italic>sns-mRuby3</italic>, 7-day-old females) fed a regular diet (normal fat diet, NFD) or high-fat diet (HFD, NFD supplemented with 14% coconut oil). Sns-mRuby3 is in green. Upper panels show cortical surface; Scale bar: 5 μm. Lower panels show subcortical regions; Scale bar: 5 μm. (<bold>B</bold>) Quantitation of Sns-mRuby3 protein distribution (cytoplasmic vs membrane); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; ****<italic>p</italic>&lt;0.0001; n=12 nephrocytes (1 nephrocyte/fly) from 7-day-old female flies.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig2-figsupp1-v1.tif"/></fig></fig-group><p>To study the nephrocyte SD and cytoplasmic regions in more detail, we performed transmission electron microscopy (TEM). The nephrocytes of NFD-fed flies showed regularly arranged lacuna channels along the cortical surface (<xref ref-type="fig" rid="fig2">Figure 2C</xref>). The distance between the lacuna channels was significantly increased in nephrocytes from HFD-fed flies (<xref ref-type="fig" rid="fig2">Figure 2C and D</xref>). Nephrocytes from both NFD and HFD fed flies showed big subcellular vacuoles (<xref ref-type="fig" rid="fig2">Figure 2E</xref>). However, the vacuoles in NFD nephrocytes frequently contained electron-dense structures, whereas most vacuoles in HFD nephrocytes were clear (<xref ref-type="fig" rid="fig2">Figure 2E and F</xref>). Altogether, these findings demonstrate that HFD causes significant changes to the nephrocyte and its SD, both at the cortical and subcortical levels.</p></sec><sec id="s2-3"><title>HFD potentiates the JAK-STAT pathway in nephrocytes</title><p>Activity of the Janus kinase/signal transducer and activator of transcription (JAK-STAT) pathway has been linked to diabetic kidney disease (<xref ref-type="bibr" rid="bib6">Berthier et al., 2009</xref>); likewise, it is activated systemically in <italic>Drosophila</italic> in response to a chronic lipid-rich diet (<xref ref-type="bibr" rid="bib73">Woodcock et al., 2015</xref>). Key components of the JAK-STAT pathway are conserved in flies, including <italic>Signal-transducer and activator of transcription protein at 92E</italic> (<italic>Stat92E</italic>), <italic>hopscotch</italic> (<italic>hop</italic>), <italic>domeless</italic> (<italic>dome</italic>), and <italic>Suppressor of cytokine signaling at 36E</italic> (<italic>Socs36E</italic>) (<xref ref-type="fig" rid="fig3">Figure 3A and B</xref>). Therefore, we tested whether the JAK-STAT pathway was activated in the nephrocytes of HFD-fed flies. We used a fluorescent reporter <italic>10xStat92E</italic>-GFP of JAK-STAT pathway activity (<xref ref-type="bibr" rid="bib21">Ekas et al., 2006</xref>). Low levels of <italic>Stat92E</italic>-GFP fluorescence were detected in the nephrocytes of flies on a regular diet (NFD). However, in nephrocytes from HFD-fed flies, the fluorescence was significantly increased (<xref ref-type="fig" rid="fig3">Figure 3C and D</xref>). These findings indicate that the consumption of superfluous fat indeed activates the JAK-STAT pathway in nephrocytes.</p><fig id="fig3" position="float"><label>Figure 3.</label><caption><title>High-fat diet activates the Janus kinase/signal transducer and activator of transcription (JAK-STAT) pathway in nephrocytes.</title><p>(<bold>A</bold>) Table lists human genes encoding JAK-STAT pathway components, along with their <italic>Drosophila</italic> homologs, the DRSC Integrative Ortholog Prediction Tool (DIOPT) score (maximum score = 15), and their function. (<bold>B</bold>) Graphical representation of the JAK-STAT signaling pathway and interaction between its components. Domeless, Dome; JAK Hopscotch, Hop; Signal-transducer and activator of transcription 92E, Stat92E; Suppressor of cytokine signaling at 36E, Socs36E; Unpaired, Upd. (<bold>C</bold>) Representative confocal images of nephrocytes from control <italic>Drosophila</italic> (<italic>10xStat92E</italic>-GFP, 7-day-old females) fed a regular diet (normal fat diet, NFD) or high-fat diet (HFD, NFD supplemented with 14% coconut oil). <italic>10xStat92E</italic>-GFP is shown in green fluorescence; DAPI (blue) stains DNA to visualize the nucleus. Scale bar: 50 μm. (<bold>D</bold>) Box plot shows the quantitation of the relative fluorescence intensity of <italic>10xStat92E</italic>-GFP based on images in (<bold>C</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; ***<italic>p</italic>&lt;0.001; n=6 flies.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig3-v1.tif"/></fig></sec><sec id="s2-4"><title>Activation of the Janus kinase, Hop, reduces nephrocyte function</title><p>Since JAK-STAT signaling has been shown to play an important role during development (<xref ref-type="bibr" rid="bib12">Brown et al., 2001</xref>; <xref ref-type="bibr" rid="bib44">Liu et al., 2009</xref>), we wanted to isolate its requirement for mature nephrocyte filtration function. To do this, we used a dominant gain-of-function allele of <italic>hop</italic> (<italic>Tumorous-lethal</italic>, <italic>hop.Tum</italic>); a single amino acid change (Gly341Glu) whose expression leads to JAK-STAT pathway activation (<xref ref-type="bibr" rid="bib28">Harrison et al., 1995</xref>). We expressed <italic>UAS-hop.Tum</italic> specifically in mature nephrocytes using a temperature-sensitive <italic>Dot</italic>-Gal4 driver (<italic>Dot-</italic>Gal4<italic>; tub-</italic>Gal80ts, referred to as <italic>Dot</italic>-Gal4ts), known as the TARGET system (<xref ref-type="bibr" rid="bib47">McGuire et al., 2004</xref>), to turn on expression in adult flies specifically as they are switched to a different environmental temperature (<xref ref-type="fig" rid="fig4">Figure 4A</xref>). Overexpression of <italic>hop.Tum</italic> significantly reduced nephrocyte absorption ability in the adults, as shown with reduced FITC-albumin and 10 kD dextran in <italic>Dot</italic>-Gal4ts &gt;UAS <italic>hop</italic>.<italic>Tum</italic> nephrocytes compared with control nephrocytes (<xref ref-type="fig" rid="fig4">Figure 4B–E</xref>).</p><fig id="fig4" position="float"><label>Figure 4.</label><caption><title>Janus kinase/signal transducer and activator of transcription (JAK-STAT) pathway activation compromises nephrocyte function.</title><p>(<bold>A</bold>) Schematic illustration of targeted UAS-<italic>hop.Tum</italic> expression in the nephrocytes; <italic>hopscotch.Tumorous-lethal</italic>, dominant gain-of-function, constitutively activates JAK-STAT. Temperature-sensitive Gal80ts binds to Gal4 and acts as a negative regulator of the Gal4 transcriptional activator at 18°C. A temperature switch to 29°C releases Gal80ts inhibition as it can no longer bind Gal4, thus allowing UAS-<italic>hop.Tum</italic> expression driven by Gal4 to occur. A timeline for temperature switches of the fly at different stages of development have been indicated. (<bold>B</bold>) Representative confocal images of FITC-albumin fluorescence (green) in nephrocytes from control flies (<italic>Dot</italic>-Gal4/+; <italic>tub</italic>-Gal80ts/+) and those with activated JAK-STAT (<italic>Dot</italic>-Gal4/UAS-<italic>hop.Tum; tub</italic>-Gal80ts/+). Scale bar: 50 μm. (<bold>C</bold>) Box plot shows the quantitation of the relative fluorescence intensity of FITC-albumin based on images in (<bold>B</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; ****<italic>p</italic>&lt;0.0001; n=6 flies (7-day-old females). (<bold>D</bold>) Representative confocal images of 10 kD dextran fluorescence (red) in nephrocytes from control flies (<italic>Dot</italic>-Gal4/+; <italic>tub</italic>-Gal80ts/+) and those with activated JAK-STAT (<italic>Dot</italic>-Gal4/UAS<italic>-hop.Tum; tub</italic>-Gal80ts/+); DAPI (blue) stains DNA to visualize the nucleus. Scale bar: 50 μm. (<bold>E</bold>) Box plot shows the quantitation of the relative fluorescence intensity of 10 kD dextran uptake based on images in (<bold>D</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; **<italic>p</italic>&lt;0.01; n=6 flies (7-day-old females). (<bold>F</bold>) Schematic illustration of the Flippase (Flp)-out clone strategy to induce UAS-<italic>hop.Tum</italic> expression. Heat shock induces the expression of Flp recombinase, which excises a stop cassette to initiate Gal4 expression. Gal4 binding to the upstream activation sequences (UAS) drives the expression of GFP (as a marker for positive Flp-out clones) and UAS-<italic>hop.Tum</italic>. (<bold>G</bold>) Representative confocal images of 10 kD dextran fluorescence (red) in nephrocytes from flies with a GFP labeled Flp-out UAS-<italic>hop.Tum</italic> clone (<italic>hs-Flp</italic><sup>122</sup>/+; UAS-<italic>Flp</italic><sup>JD1</sup>/UAS-<italic>hop.Tum; Act5C</italic>&gt;<italic>CD2</italic>&gt;<italic>Gal4</italic><sup>S</sup>, UAS-<italic>mCD8GFP</italic><sup>LL6</sup>/+). (<bold>H</bold>) Box plot shows the quantitation of the relative fluorescence intensity of 10 kD dextran fluorescence uptake based on images in (<bold>G</bold>); middle line depicts the median and whiskers show minimum to maximum. Control neighbor of Flp-out clone; UAS-<italic>hop.Tum</italic> (clone). Statistical analysis was performed with a two-tailed Student’s t-test; ****<italic>p</italic>&lt;0.0001; n=5 clones and five neighbor cells.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig4-v1.tif"/></fig><p>To validate these results and remove between-fly variability, both biological and technical, we also tested the effect of JAK-STAT pathway activation in tissue mosaic clones using Flp-out (<xref ref-type="bibr" rid="bib19">Delaney et al., 2024</xref>; <xref ref-type="bibr" rid="bib20">Duan et al., 2020</xref>; <xref ref-type="fig" rid="fig4">Figure 4F</xref>). For this technique, first instar larvae are exposed to heat shock to activate the Hsp70P transcription factor, which induces <italic>Flippase</italic> (<italic>Flp</italic>). Flp activity, in turn, removes the stop cassette, thereby driving Gal4 expression. Gal4 drives the expression of UAS-GFP and UAS-<italic>hop.tum</italic> within the same cell. Thus, <italic>hop.Tum</italic> is only expressed in GFP-labelled nephrocyte clones; whereas, GFP-negative nephrocytes are indicative of no Gal4 being expressed and serve as internal control cells (<xref ref-type="fig" rid="fig4">Figure 4F</xref>). In line with the TARGET assays, UAS-<italic>hop.Tum</italic> overexpression significantly reduced nephrocyte absorption ability in adult flies (<xref ref-type="fig" rid="fig4">Figure 4G and H</xref>). These data support a role for the JAK-STAT pathway in nephrocyte function.</p></sec><sec id="s2-5"><title>Depletion of Socs36E, a negative regulator of JAK-STAT, or increased adipokine Upd2, a JAK-STAT ligand, results in decreased nephrocyte function</title><p>Next, we looked at additional JAK-STAT pathway components in the context of nephrocyte function. Suppressor of cytokine signaling at 36E (Socs36E) is transcriptionally regulated by Signal-transducer and activator of transcription 92E (Stat92E) and functions as a negative regulator of JAK-STAT signaling (<xref ref-type="bibr" rid="bib14">Callus and Mathey-Prevot, 2002</xref>; <xref ref-type="bibr" rid="bib38">Karsten et al., 2002</xref>; <xref ref-type="fig" rid="fig3">Figure 3B</xref>), and it is expressed in the nephrocytes (<xref ref-type="fig" rid="fig3">Figure 3A</xref>). Silencing <italic>Socs36E</italic> specifically in nephrocytes (<italic>Dot-</italic>Gal4 &gt;<italic>Socs36E</italic>-RNAi) significantly reduced nephrocyte uptake function as evident in significantly decreased FITC-albumin (<xref ref-type="fig" rid="fig5">Figure 5A and B</xref>) and 10 kD dextran (<xref ref-type="fig" rid="fig5">Figure 5C and D</xref>) fluorescence compared to the control nephrocytes.</p><fig-group><fig id="fig5" position="float"><label>Figure 5.</label><caption><title>Silencing <italic>Socs36E</italic> in the nephrocytes, or <italic>upd2</italic> overexpression in the fat body, leads to nephrocyte dysfunction.</title><p>(<bold>A</bold>) Representative confocal images of FITC-albumin (green) in nephrocytes from control flies (<italic>Dot</italic>-Gal4/+) and flies with nephrocyte-specific silencing of the Socs36E Janus kinase/signal transducer and activator of transcription (JAK-STAT) inhibitor (<italic>Dot</italic>-Gal4&gt;<italic>Socs36E</italic>-IR); DAPI (blue) stains DNA to visualize the nucleus. Scale bar: 50 μm. <italic>Socs36E</italic>, <italic>Suppressor of cytokine signaling at 36E</italic>. (<bold>B</bold>) Box plot shows the quantitation of the relative fluorescence intensity of FITC-albumin uptake based on images in (<bold>A</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; **<italic>p</italic>&lt;0.01; n=6 flies (7-day-old females). (<bold>C</bold>) Representative confocal images of 10 kD dextran fluorescence (red) in nephrocytes from control flies (<italic>Dot</italic>-Gal4/+) and flies with nephrocyte-specific silencing of the Socs36E JAK-STAT inhibitor (<italic>Dot</italic>-Gal4&gt;<italic>Socs36E</italic>-IR); DAPI (blue) stains DNA to visualize the nucleus. Scale bar: 50 μm. <italic>Socs36E</italic>, <italic>Suppressor of cytokine signaling at 36E</italic>. (<bold>D</bold>) Box plot shows the quantitation of the relative fluorescence intensity of 10 kD dextran uptake based on images in (<bold>C</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; ***<italic>p</italic>&lt;0.001; n=6 flies (7-day-old females). (<bold>E</bold>) Representative confocal images of 10 kD dextran fluorescence (red) in nephrocytes from control flies (<italic>ppl</italic>-Gal4/+) and flies with fat body-specific overexpression of JAK-STAT ligand Upd2 (<italic>ppl</italic>-Gal4&gt;<italic>upd2</italic> GFP); DAPI (blue) stains DNA to visualize the nucleus. Scale bar: 50 μm. <italic>ppl</italic>, <italic>pumpless; upd2</italic>, <italic>unpaired 2</italic>. (<bold>F</bold>) Box plot shows the quantitation of the relative fluorescence intensity of 10 kD dextran uptake based on images in (<bold>E</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; ****<italic>p</italic>&lt;0.0001; n=6 flies (7-day-old females). (<bold>G</bold>) Representative confocal images of nephrocytes from control flies (<italic>ppl-Gal4/+</italic>) and flies with fat body-specific overexpression of Upd2 (<italic>ppl-Gal4&gt;upd2</italic> GFP). Anti-polychaetoid (Pyd) is shown in red. Scale bar: 4 μm. (<bold>H</bold>) Quantitation of Pyd protein distribution (cytoplasmic vs membrane); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed with a two-tailed Student’s t-test; ****<italic>p</italic>&lt;0.0001; n=12 nephrocytes (one nephrocyte/fly) from 7-day-old female flies.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig5-v1.tif"/></fig><fig id="fig5s1" position="float" specific-use="child-fig"><label>Figure 5—figure supplement 1.</label><caption><title>Upd2-GFP is secreted from the fat body and transported to the nephrocytes.</title><p>(<bold>A</bold>) Representative confocal images of nephrocytes. Genotype: <italic>pp-Gal4&gt;UAS</italic> GFP. GFP is shown in green. DAPI stains the nuclei in blue. Scale bar: 20 µm. (<bold>B</bold>) Representative confocal images of nephrocyte cortical regions. Anti-polychaetoid (Pyd) is shown in red. Scale bar: 4 µm.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig5-figsupp1-v1.tif"/></fig></fig-group><p>In <italic>Drosophila</italic>, the JAK-STAT pathway ligand unpaired (Upd) family is encoded by <italic>upd1</italic>, <italic>upd2</italic>, and <italic>upd3</italic>. These ligands bind to Domeless (Dome), a single-transmembrane receptor, to activate JAK-STAT signaling (<xref ref-type="fig" rid="fig3">Figure 3B</xref>). Of these, Upd2 is functionally equivalent to human Leptin and is highly expressed in the fat body, the fly’s functional equivalent of vertebrate adipose tissue (<xref ref-type="bibr" rid="bib33">Hombría et al., 2005</xref>; <xref ref-type="bibr" rid="bib53">Rajan et al., 2017</xref>; <xref ref-type="bibr" rid="bib52">Rajan and Perrimon, 2012</xref>). In <italic>Drosophila</italic>, HFD has been shown to upregulate Upd2 expression and secretion (<xref ref-type="bibr" rid="bib53">Rajan et al., 2017</xref>; <xref ref-type="bibr" rid="bib52">Rajan and Perrimon, 2012</xref>). In our model, overexpression of Upd2, specifically in the fat body (<italic>ppl-</italic>Gal4 driver; <italic>ppl-</italic>Gal4&gt;<italic>upd2</italic> GFP), significantly reduced 10 kD dextran uptake in the nephrocytes compared to the control (<italic>ppl-</italic>Gal4/<italic>+</italic>) (<xref ref-type="fig" rid="fig5">Figure 5E and F</xref>), indicating reduced nephrocyte function. Since our <italic>upd2</italic> over-expression line contains <italic>upd2</italic>-GFP, we could not use the FITC-albumin uptake assay, as both signals occupy the same imaging channel. Upd2-GFP signal was found in the nephrocytes in <italic>ppl-</italic>Gal4&gt;<italic>upd2</italic> GFP flies (<xref ref-type="fig" rid="fig5s1">Figure 5—figure supplement 1A</xref>), indicating an inter-tissue communication of Upd2-GFP. Notably, Upd2-GFP overexpression in the fat body caused cytoplasm retention of Sns-mRuby3 (<xref ref-type="fig" rid="fig5">Figure 5G and H</xref>) and compromised the cortical fingerprint pattern (<xref ref-type="fig" rid="fig5s1">Figure 5—figure supplement 1B</xref>).</p><p>Like the Janus kinase Hop, the negative regulator Socs36E and the ligand adipokine Upd2 are additional JAK-STAT pathway components that are required for nephrocyte function.</p></sec><sec id="s2-6"><title>HFD-induced nephrocyte functional defects are mitigated by Stat92E-mediated inhibition of JAK-STAT</title><p>To determine that JAK-STAT forms a direct link between HFD and nephrocyte dysfunction, we knocked down <italic>Stat92E</italic> (<italic>Stat92E</italic>-IR; <xref ref-type="bibr" rid="bib55">Recasens-Alvarez et al., 2017</xref>) in the nephrocytes to disrupt the JAK-STAT signaling pathway (<xref ref-type="fig" rid="fig3">Figure 3B</xref>). Deficiency for Stat92E did not affect the uptake function (FITC-albumin or 10 kD dextran) of adult nephrocytes in flies fed a NFD (<xref ref-type="fig" rid="fig6">Figure 6A–D</xref>). However, under HFD conditions, in which nephrocytes from control flies showed significantly reduced uptake, <italic>Stat92E</italic>-deficient nephrocytes showed FITC-albumin and 10 kD dextran fluorescence restored to NFD levels (<xref ref-type="fig" rid="fig6">Figure 6A–D</xref>). We used an independent <italic>Stat92E-RNAi</italic> line in the functional assays and obtained similar results, showing that dextran fluorescence was restored to NFD levels in <italic>Stat92E</italic>-deficient nephrocytes under HFD conditions (<xref ref-type="fig" rid="fig6s1">Figure 6—figure supplement 1</xref>). Interestingly, under HFD conditions, the cytoplasm retention of Sns-mRuby3 was restored to NFD levels in <italic>Stat92E</italic>-deficient nephrocytes (<xref ref-type="fig" rid="fig6s2">Figure 6—figure supplement 2</xref>). These findings demonstrate that Stat92E, and by extension the JAK-STAT pathway, is required for the nephrocyte dysfunction induced by HFD.</p><fig-group><fig id="fig6" position="float"><label>Figure 6.</label><caption><title>Silencing <italic>Stat92E</italic> attenuates nephrocyte functional defects caused by a high-fat diet.</title><p>Nephrocytes from control flies (<italic>Dot</italic>-Gal4/+; <italic>tub</italic>-Gal80ts/+) and those with <italic>Stat92E</italic> silencing as adults (<italic>Dot</italic>-Gal4/UAS-<italic>Stat92E</italic>-IR; <italic>tub</italic>-Gal80ts/+). UAS-<italic>Stat92E</italic>-RNAi expression was induced at the adult stage (see <xref ref-type="fig" rid="fig4">Figure 4A</xref>) for seven days before the uptake assay. <italic>Stat92E</italic>, <italic>Signal-transducer and activator of transcription 92E</italic>. (<bold>A</bold>) Representative confocal images of FITC-albumin fluorescence (green); DAPI (blue) stains DNA to visualize the nucleus. Scale bar: 50 μm. (<bold>B</bold>) Box plot shows the quantitation of the relative fluorescence intensity of FITC-albumin uptake based on images in (<bold>A</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed by two-way ANOVA with Sidak correction; **<italic>p</italic>&lt;0.01; ****<italic>p</italic>&lt;0.0001; ns, not significant; n=6 flies (7-day-old females). (<bold>C</bold>) Representative confocal images of 10 kD dextran fluorescence (red); DAPI (blue) stains DNA to visualize the nucleus. Scale bar: 50 μm. (<bold>D</bold>) Box plot shows the quantitation of the relative fluorescence intensity of 10 kD dextran uptake based on images in (<bold>C</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed by two-way ANOVA with Sidak correction; ***<italic>p</italic>&lt;0.001; ****<italic>p</italic>&lt;0.0001; ns, not significant; n=6 flies (7-day-old females).</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig6-v1.tif"/></fig><fig id="fig6s1" position="float" specific-use="child-fig"><label>Figure 6—figure supplement 1.</label><caption><title>Stat92E depletion rescues HFD-caused nephrocyte functional decline.</title><p>(<bold>A</bold>) Representative confocal images of nephrocytes from female adults that were fed on a regular diet (normal fat diet, NFD) or high-fat diet (NFD supplemented with 14% coconut oil, HFD) for 7 days. Genotype: Control (<italic>Dot-Gal4-Gal4</italic>/+); Stat92E depletion (<italic>Dot-Gal4-Gal4</italic>/+; <italic>UAS-Stat92E-IR</italic>_#2/+). Dextran is shown in red. Scale bar: 40 µm. (<bold>B</bold>) Box plot shows the quantitation of the relative fluorescence intensity of 10 kD dextran uptake based on images in (<bold>A</bold>); middle line depicts the median and whiskers show min to max. Statistical analysis was performed with a two-way ANOVA corrected with Tukey; ****<italic>p</italic>&lt;0.0001; ns, not significant; n=12 flies.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig6-figsupp1-v1.tif"/></fig><fig id="fig6s2" position="float" specific-use="child-fig"><label>Figure 6—figure supplement 2.</label><caption><title>Stat92E depletion rescues HFD-caused Sns-mRuby3 distribution defects in the nephrocytes.</title><p>(<bold>A</bold>) Representative confocal images of nephrocytes from female adults that were fed on a regular diet (normal fat diet, NFD) or high-fat diet (NFD supplemented with 14% coconut oil, HFD) for 7 days. Genotype: Control (<italic>Dot-Gal4-Gal4, sns-mRuby3</italic>/+); Stat92E depletion (<italic>Dot-Gal4-Gal4, sns-mRuby3</italic>/+; <italic>UAS-Stat92E-IR</italic>_#2). Sns-mRuby3 is shown in red. Scale bar: 5 µm. (<bold>B</bold>) Box plot shows the quantitation of Sns-mRuby3 protein distribution (cytoplasmic vs membrane) based on images in (<bold>A</bold>); middle line depicts the median and whiskers show min to max. Statistical analysis was performed with a two-way ANOVA corrected with Tukey; ****<italic>p</italic>&lt;0.0001; ns, not significant; n=10 flies.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig6-figsupp2-v1.tif"/></fig></fig-group></sec><sec id="s2-7"><title>HFD-induced nephrocyte functional defects can be attenuated by methotrexate treatment</title><p>Methotrexate suppresses STAT activation; it inhibits the phosphorylation of JAK which is necessary for JAK-STAT pathway activation and was shown to do so without affecting other phosphorylation-dependent pathways (<xref ref-type="bibr" rid="bib64">Thomas et al., 2015</xref>). In our model system, methotrexate treatment (10 µM; 60 min) reduced levels of Stat92E (10xStat92E-GFP) in the nephrocytes (<xref ref-type="fig" rid="fig7s1">Figure 7—figure supplement 1</xref>). Stat92E is a key component of the pathway; its reduction is indicative of decreased JAK-STAT signaling. Next, we treated flies on NFD or HFD with 10 μM methotrexate (60 min incubation; ex vivo) to study the effect of pharmacological JAK-STAT inhibition on nephrocyte function. In nephrocytes from control flies on a regular diet (NFD), the methotrexate treatment had no effect on uptake of FITC-albumin or 10 kD dextran (<xref ref-type="fig" rid="fig7">Figure 7A–D</xref>). However, in flies on a HFD, treatment with methotrexate led to significantly increased nephrocyte FITC-albumin and 10 kD dextran uptake, restoring levels to those observed in control fly NFD nephrocytes (<xref ref-type="fig" rid="fig7">Figure 7A–D</xref>). We asked whether methotrexate treatment has an effect on Sns-mRuby3 subcellular distribution. In line with our prediction, under HFD conditions, pharmacological JAK-STAT inhibition restored Sns-mRuby3 distribution to NFD levels (<xref ref-type="fig" rid="fig7s2">Figure 7—figure supplement 2</xref>). Thus, like the genetic intervention (<italic>Stat92E</italic> inhibition; <xref ref-type="fig" rid="fig6">Figure 6</xref>), pharmacological intervention with the JAK-STAT inhibitor methotrexate restored nephrocyte function caused by HFD. These findings support the notion that HFD-induced nephrocyte dysfunction is mediated by the JAK-STAT signaling pathway.</p><fig-group><fig id="fig7" position="float"><label>Figure 7.</label><caption><title>Methotrexate treatment can restore nephrocyte function following a high-fat diet.</title><p>Nephrocytes from control <italic>Drosophila</italic> (<italic>w</italic><sup>1118</sup>; 7-day-old females) fed a regular diet (normal fat diet, NFD) or high-fat diet (NFD supplemented with 14% coconut oil, HFD), with or without methotrexate (10 μM; ex vivo 60 min) treatment. (<bold>A</bold>) Representative confocal images of FITC-albumin fluorescence (green). Scale bar: 50 μm. (<bold>B</bold>) Box plot shows the quantitation of the relative fluorescence intensity of FITC-albumin uptake based on images in (<bold>A</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed by two-way ANOVA with Sidak correction; ***<italic>p</italic>&lt;0.001, ****<italic>p</italic>&lt;0.0001; ns, not significant; n=6 flies (7-day-old females). (<bold>C</bold>) Representative confocal images of 10 kD dextran fluorescence (red). Scale bar: 50 μm. (<bold>D</bold>) Box plot shows the quantitation of the relative fluorescence intensity of 10 kD dextran uptake based on images in (<bold>C</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed by two-way ANOVA with Sidak correction; ****<italic>p</italic>&lt;0.0001; ns, not significant; n=6 flies (7-day-old females). (<bold>E</bold>) Graphic of proposed model for high-fat diet-induced nephrocyte defects via an adipose-nephrocyte axis. A high-fat diet upregulates the expression and secretion of the adipokine Unpaired 2 (Upd2), leptin-like hormone, from the fat body. Upd2 is a Janus kinase/signal transducer and activator of transcription (JAK-STAT) ligand, and it activates JAK-STAT signaling at the nephrocytes (Signal-transducer and activator of transcription 92E, Stat92E; Suppressor of cytokine signaling at 36E, Socs36E; JAK Hopscotch, Hop; Domeless, Dome). The overactive JAK-STAT pathway disrupts the integrity of the slit diaphragm (SD) filtration structure and thereby leads to nephrocyte dysfunction.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig7-v1.tif"/></fig><fig id="fig7s1" position="float" specific-use="child-fig"><label>Figure 7—figure supplement 1.</label><caption><title>Methotrexate treatment inhibits Janus kinase/signal transducer and activator of transcription (JAK-STA)T pathway activity.</title><p>(<bold>A</bold>) Representative confocal images of 7-day-old female adult nephrocytes (<italic>10xStat92E</italic>-GFP). Control, incubated in Schneider’s <italic>Drosophila</italic> Medium (ex vivo for 60 min at room temperature); methotrexate, incubated in 10 µM methotrexate in Schneider’s <italic>Drosophila</italic> Medium (ex vivo for 60 min at room temperature). <italic>10xStat92E</italic>-GFP in green fluorescence. DAPI staining in blue to visualize the nucleus. Scale bar: 20 µm. (<bold>B</bold>) Box plot shows the quantitation of the relative fluorescence intensity of <italic>10xStat92E</italic>-GFP based on the images in (<bold>A</bold>); middle line depicts the median and whiskers show Tukey. Statistical analysis was performed with a two-tailed t-test; **<italic>p</italic>&lt;0.01; n=6 flies.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig7-figsupp1-v1.tif"/></fig><fig id="fig7s2" position="float" specific-use="child-fig"><label>Figure 7—figure supplement 2.</label><caption><title>Methotrexate treatment restores Sns-mRuby3 distribution defects following a high-fat diet.</title><p>(<bold>A</bold>) Representative confocal images of nephrocytes from control <italic>Drosophila</italic> (<italic>sns-mRuby3</italic>; 7-day-old females) fed a regular diet (normal fat diet, NFD) or high-fat diet (NFD supplemented with 14% coconut oil, HFD), with or without methotrexate (10 μM; ex vivo 60 min) treatment. Sns-mRuby3 is in red. Scale bar: 5 μm. (<bold>B</bold>) Box plot shows the quantitation of Sns-mRuby3 protein distribution (cytoplasmic vs membrane) based on images in (<bold>A</bold>); middle line depicts the median and whiskers show minimum to maximum. Statistical analysis was performed by two-way ANOVA with Sidak correction; ****<italic>p</italic>&lt;0.0001; ns, not significant; n=12 flies (7-day-old females).</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-96987-fig7-figsupp2-v1.tif"/></fig></fig-group></sec></sec><sec id="s3" sec-type="discussion"><title>Discussion</title><p>A recent publication showed that flies fed a HFD can recapitulate key features of chronic kidney disease, including lipid droplet formation, altered mitochondria dynamics, and endocytosis defects observed as reduced uptake of dextran and albumin (<xref ref-type="bibr" rid="bib46">Lubojemska et al., 2021</xref>). This previous study found that excess fatty acids, a sign of lipotoxicity, due to a HFD are released from adipose tissue into circulation, then filtered out by the nephrocytes by receptor-mediated endocytosis, at which point the fatty acids accumulate in the lipid droplets (<xref ref-type="bibr" rid="bib46">Lubojemska et al., 2021</xref>), like those observed in the podocytes of patients with chronic kidney disease (<xref ref-type="bibr" rid="bib30">Herman-Edelstein et al., 2014</xref>; <xref ref-type="bibr" rid="bib39">Kimmelstiel and Wilson, 1936</xref>). Notably, lipid droplet lipolysis and PGC1α could counteract the HFD-induced disrupted endocytosis in the nephrocytes via the mitochondria (<xref ref-type="bibr" rid="bib46">Lubojemska et al., 2021</xref>). This demonstrated one mechanism by which excess lipid droplets, due to HFD, can disrupt nephrocyte kidney function. Here, we likewise used a HFD <italic>Drosophila</italic> model to study chronic kidney disease and revealed another mechanism by which HFD affects both nephrocyte uptake function and morphology of its filtration structure, the slit diaphragm. HFD upregulates the expression of the adipokine Upd2, the functional homolog to human leptin, which activates the JAK-STAT pathway (<xref ref-type="bibr" rid="bib52">Rajan and Perrimon, 2012</xref>; <xref ref-type="bibr" rid="bib82">Zhao et al., 2023b</xref>). Of note, a previous study has shown that Stat1 exerts a repressive effect on PGC1α transcription (<xref ref-type="bibr" rid="bib60">Sisler et al., 2015</xref>). These observations suggest a potential mechanistic interaction between Jak/Stat signaling and PGC1α regulation. Our data show this also holds true in the nephrocytes, and as such, compromises nephrocyte function (<xref ref-type="fig" rid="fig7">Figure 7E</xref>). These findings support obesity as a causal factor in chronic kidney disease.</p><p>Of note, in early-stage diabetic kidney disease, JAK-STAT pathway genes are upregulated in patient podocytes (<xref ref-type="bibr" rid="bib6">Berthier et al., 2009</xref>). In a rat diabetic model, treatment with a JAK-STAT inhibitor (AG-490) reduced proteinuria (<xref ref-type="bibr" rid="bib5">Banes et al., 2004</xref>); and overexpression of JAK2 in diabetic mouse podocytes elevated JAK-STAT pathway activity and exacerbated diabetic kidney disease (<xref ref-type="bibr" rid="bib77">Zhang et al., 2017</xref>). These findings, like ours that showed effective treatment of HFD nephropathy using the JAK-STAT inhibitor (methotrexate), support the involvement of the JAK-STAT pathway in HFD-related chronic kidney disease. They also demonstrate that this pathological effect is conserved from flies to mammals. In fact, a phase 2 clinical trial demonstrated that the small molecule baricitinib, a selective JAK1 and JAK2 inhibitor, effectively lowered albuminuria in patients with type 2 diabetes and diabetic kidney disease (<xref ref-type="bibr" rid="bib66">Tuttle et al., 2018</xref>). Altogether, these studies support JAK-STAT inhibition as a therapeutic intervention for nephropathy associated with superfluous fat intake (<xref ref-type="bibr" rid="bib11">Brosius et al., 2016</xref>). The conserved disease mechanism makes the HFD fly model a valuable platform to screen JAK-STAT inhibitors for their efficacy to treat chronic kidney disease. The fly findings showed a direct JAK-STAT link at the adipose tissue−nephrocyte axis that leads to nephrocyte dysfunction, via HFD upregulated expression of the adipokine Upd2, which activates the JAK-STAT pathway (<xref ref-type="bibr" rid="bib52">Rajan and Perrimon, 2012</xref>; <xref ref-type="fig" rid="fig7">Figure 7E</xref>). In support, like in our fly model, increased leptin has been observed in obese patients (<xref ref-type="bibr" rid="bib15">Considine et al., 1996</xref>) and in patients with chronic renal failure (<xref ref-type="bibr" rid="bib29">Heimbürger et al., 1997</xref>).</p><p>Finally, while growing evidence demonstrates that a pharmacological block of the JAK-STAT pathway could effectively treat nephropathy, for decades, the first-line treatment for obesity-related glomerulopathy has been RAS inhibitors (<xref ref-type="bibr" rid="bib37">Jiang et al., 2023</xref>). Their beneficial effects stem from lowering blood pressure and by lowering the estimated glomerular filtration rate (eGFR) (<xref ref-type="bibr" rid="bib4">Banerjee et al., 2022</xref>; <xref ref-type="bibr" rid="bib74">Yamout et al., 2014</xref>). One such inhibitor, telmisartan, targets RAS by blocking the angiotensin (Ang) II receptor and was shown effective in treating nephropathy in a rat model of metabolic syndrome (HFD-fed rats) (<xref ref-type="bibr" rid="bib41">Li et al., 2016a</xref>). Notably, telmisartan treatment decreased leptin release from adipose tissue, thereby supporting our model and implicating a hitherto unknown mechanism that contributes to leptin-associated nephropathy in metabolic syndrome. In addition, our findings could have implications for lupus nephritis, an inflammatory kidney disease associated with the autoimmune disease systemic lupus erythematosus. Patients with this complication show activated JAK-STAT and elevated leptin, regulated by sterol regulatory element binding transcription factor 1 (SREBF1), which is involved in lipogenesis (<xref ref-type="bibr" rid="bib27">Hao et al., 2013</xref>). Already, phase 2/3 clinical trials are underway to study the efficacy of JAK inhibitors in treating lupus nephritis (<xref ref-type="bibr" rid="bib35">Huo et al., 2023</xref>). Our data indicate a possible second pathway could contribute, by direct leptin stimulation of JAK-STAT caused by the dysregulated fat body, warranting further investigation.</p><p>Altogether, our study expands our understanding of chronic kidney disease associated with superfluous fat intake and provides new avenues for therapeutic strategies.</p></sec><sec id="s4" sec-type="materials|methods"><title>Materials and methods</title><table-wrap id="keyresource" position="anchor"><label>Key resources table</label><table frame="hsides" rules="groups"><thead><tr><th align="left" valign="top">Reagent type (species) or resource</th><th align="left" valign="top">Designation</th><th align="left" valign="top">Source or reference</th><th align="left" valign="top">Identifiers</th><th align="left" valign="top">Additional information</th></tr></thead><tbody><tr><td align="left" valign="top">Antibody</td><td align="left" valign="top">Chicken polyclonal anti-GFP</td><td align="left" valign="top">Abcam</td><td align="left" valign="top">Cat. ab13970; RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:AB_300798">AB_300798</ext-link></td><td align="left" valign="top">IF(1:1000)</td></tr><tr><td align="left" valign="top">Antibody</td><td align="left" valign="top">Mouse monoclonal anti-Pyd</td><td align="left" valign="top">Developmental Studies Hybridoma Bank (DSHB)</td><td align="left" valign="top">RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:AB_2618043">AB_2618043</ext-link></td><td align="left" valign="top">IF(1:100)</td></tr><tr><td align="left" valign="top">Antibody</td><td align="left" valign="top">Goat anti-mouse Alexa Fluor 488</td><td align="left" valign="top">Invitrogen</td><td align="left" valign="top">Cat. A11029; RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:AB_2534088">AB_2534088</ext-link></td><td align="left" valign="top">IF(1:500)</td></tr><tr><td align="left" valign="top">Antibody</td><td align="left" valign="top">Goat anti-chicken Alexa Fluor 488</td><td align="left" valign="top">Invitrogen</td><td align="left" valign="top">Cat. A11039; AB_2534096</td><td align="left" valign="top">IF(1:500)</td></tr><tr><td align="left" valign="top">Chemical compound, drug</td><td align="left" valign="top">Methotrexate</td><td align="left" valign="top">Sigma-Aldrich</td><td align="left" valign="top">Cas. 06563</td><td align="left" valign="top">Methotrexate treatment</td></tr><tr><td align="left" valign="top">Other</td><td align="left" valign="top">DAPI</td><td align="left" valign="top">Thermo Fisher Scientific</td><td align="left" valign="top">Cat. D1306</td><td align="left" valign="top">Immunochemistry</td></tr><tr><td align="left" valign="top">Other</td><td align="left" valign="top">10 kD Texas Red-dextran</td><td align="left" valign="top">Thermo Fisher Scientific</td><td align="left" valign="top">Cas. D1828</td><td align="left" valign="top">FITC-albumin and 10 kD dextran uptake assays</td></tr><tr><td align="left" valign="top">Other</td><td align="left" valign="top">FITC-albumin solution</td><td align="left" valign="top">Sigma</td><td align="left" valign="top">Cas. A9771</td><td align="left" valign="top">FITC-albumin and 10 kD dextran uptake assays</td></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: <italic>w</italic><sup>1118</sup></td><td align="left" valign="top">Bloomington <italic>Drosophila</italic> Stock Center (BDSC)</td><td align="left" valign="top">RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:BDSC_3605">BDSC_3605</ext-link></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: <italic>Dot-</italic>Gal4</td><td align="left" valign="top">BDSC</td><td align="left" valign="top">RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:BDSC_67608">BDSC_67608</ext-link></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: <italic>ppl-</italic>Gal4</td><td align="left" valign="top">BDSC</td><td align="left" valign="top">RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:BDSC_58768">BDSC_58768</ext-link></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: <italic>tub-</italic>Gal80ts</td><td align="left" valign="top">BDSC</td><td align="left" valign="top">RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:BDSC_7017">BDSC_7017</ext-link></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: <italic>10XStat92E-</italic>GFP</td><td align="left" valign="top">BDSC</td><td align="left" valign="top">RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:BDSC_26198">BDSC_26198</ext-link></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: <italic>Stat92E-IR_#2</italic></td><td align="left" valign="top">BDSC</td><td align="left" valign="top">RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:BDSC_33637">BDSC_33637</ext-link></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: <italic>Socs36E-</italic>IR</td><td align="left" valign="top">BDSC</td><td align="left" valign="top">RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:BDSC_35036">BDSC_35036</ext-link></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: <italic>Stat92E-IR</italic></td><td align="left" valign="top">Vienna <italic>Drosophila</italic> Resource Center (VDRC)</td><td align="left" valign="top">VDRC_106980</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: <italic>sns-mRuby3</italic></td><td align="left" valign="top"><xref ref-type="bibr" rid="bib19">Delaney et al., 2024</xref></td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: <italic>hs-Flp</italic><sup>122</sup><italic>;</italic> UAS<italic>-Flp</italic><sup>JD1</sup><italic>/</italic>CyO<italic>, Act-GFP</italic><sup>JMR1</sup><italic>; Act5C&gt;CD2&gt;Gal4</italic><sup>S</sup><italic>,</italic> UAS<italic>-mCD8-GFP</italic><sup>LL6</sup><italic>/</italic>TM6b</td><td align="left" valign="top"><xref ref-type="bibr" rid="bib78">Zhao et al., 2015</xref></td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: UAS<italic>-hop.Tum</italic></td><td align="left" valign="top"><xref ref-type="bibr" rid="bib28">Harrison et al., 1995</xref></td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Genetic reagent (<italic>D. melanogaster</italic>)</td><td align="left" valign="top"><italic>Drosophila melanogaster</italic>: UAS<italic>-upd2:GFP</italic></td><td align="left" valign="top"><xref ref-type="bibr" rid="bib33">Hombría et al., 2005</xref></td><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Software, algorithm</td><td align="left" valign="top">FIJI (ImageJ)</td><td align="left" valign="top"><xref ref-type="bibr" rid="bib58">Schneider et al., 2012</xref>; <ext-link ext-link-type="uri" xlink:href="https://imagej.net/Fiji/Downloads">https://imagej.net/Fiji/Downloads</ext-link></td><td align="left" valign="top">Fiji-macOS</td><td align="left" valign="top">RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:SCR_003070">SCR_003070</ext-link></td></tr><tr><td align="left" valign="top">Software, algorithm</td><td align="left" valign="top">Adobe Illustrator</td><td align="left" valign="top"><ext-link ext-link-type="uri" xlink:href="https://www.adobe.com/">https://www.adobe.com/</ext-link></td><td align="left" valign="top">Adobe Illustrator 2022</td><td align="left" valign="top">RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:SCR_010279">SCR_010279</ext-link></td></tr><tr><td align="left" valign="top">Software, algorithm</td><td align="left" valign="top">GraphPad Prism</td><td align="left" valign="top"><ext-link ext-link-type="uri" xlink:href="https://www.graphpad.com/scientific-software/prism/">https://www.graphpad.com/scientific-software/prism/</ext-link></td><td align="left" valign="top">GraphPad Prism 9</td><td align="left" valign="top">RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:SCR_002798">SCR_002798</ext-link></td></tr></tbody></table></table-wrap><sec id="s4-1"><title><italic>Drosophila</italic> husbandry</title><p>Fly lines were reared on a normal fat diet (NFD; Nutri-Fly German formula; Genesee Scientific, San Diego, CA) or a high-fat diet (HFD; NFD supplemented with 14% coconut oil), under standard conditions (25°C, 60% humidity, 12 hr:12 hr dark:light cycle), unless otherwise stated.</p><p><italic>Drosophila</italic> stocks <italic>w</italic><sup>1118</sup> (BDSC_3605), <italic>Dot-</italic>Gal4 (BDSC_67608), <italic>ppl-</italic>Gal4 (BDSC_58768), <italic>tub-</italic>Gal80ts (BDSC_7017), <italic>10XStat92E-</italic>GFP (BDSC_26198), UAS-<italic>Stat92E</italic>-RNAi_#2 (BDSC_33637), and UAS-<italic>Socs36E</italic>-RNAi (BDSC_35036) were obtained from the Bloomington <italic>Drosophila</italic> Stock Center (BDSC). UAS<italic>-Stat92E</italic>-RNAi (VDRC_106980) was obtained from the Vienna <italic>Drosophila</italic> Resource Center (VDRC). UAS<italic>-hop.Tum</italic> was kindly provided by Prof. Norbert Perrimon (Harvard Medical School, Boston, MA; Howard Hughes Medical Institute, Boston, MA). UAS-<italic>upd2:GFP</italic> has been previously described (<xref ref-type="bibr" rid="bib33">Hombría et al., 2005</xref>) and was kindly provided by Prof. Ylva Engström (Stockholm University, Stockholm, Sweden). The Flp-out line <italic>hs-Flp</italic><sup>122</sup>; UAS-<italic>Flp</italic><sup>JD1</sup>/CyO, <italic>Act-GFP</italic><sup>JMR1</sup>; <italic>Act5C&gt;CD2&gt;Gal4</italic><sup>S</sup>, UAS-<italic>mCD8-GFP</italic><sup>LL6</sup>/TM6b was generated previously (<xref ref-type="bibr" rid="bib78">Zhao et al., 2015</xref>).</p></sec><sec id="s4-2"><title>FITC-albumin and 10 kD dextran uptake assays</title><p>Nephrocyte functional assays were performed ex vivo at room temperature, following a previously described method (<xref ref-type="bibr" rid="bib72">Wen et al., 2020</xref>) with minor changes. <italic>Drosophila</italic> females were dissected in Schneider’s <italic>Drosophila</italic> Medium (Thermo Fisher Scientific, MA), then incubated in a 10 kD Texas Red-dextran solution (0.05 mg/mL; D1828, Thermo Fisher Scientific, MA) in Schneider’s <italic>Drosophila</italic> Medium (Thermo Fisher Scientific, MA) for 20 min, or a FITC-albumin solution (10 mM; Sigma, A9771) in Schneider’s <italic>Drosophila</italic> Medium (Thermo Fisher Scientific, MA) for 5 min. The specimens were washed in artificial hemolymph twice, followed by fixation in 4% paraformaldehyde (PFA) for 60 min. Then the fixed specimens were washed thrice for 5 min in 1x phosphate buffered saline (1xPBS; pH 7.4) and mounted using Vectashield mounting medium (H-1000, Vector Laboratories, CA). FITC-albumin and 10 kD dextran specimens were imaged using a ZEISS LSM900 confocal microscope with ZEISS Zen acquisition software (blue edition; version 3.0) using a 20× Plan-Apochromat 0.8 N.A. air objective (ZEISS, Oberkochen, Germany). For quantitative comparison of fluorescence intensities, settings for the control condition were chosen to avoid oversaturation (using Range Indicator in ZEN blue; limiting the observed red dots to avoid oversaturation), then applied across the images for all samples/conditions within the assay. The fluorescence intensity of FITC-albumin and 10 kD dextran nephrocytes was determined using Fiji software (Image J; <xref ref-type="bibr" rid="bib58">Schneider et al., 2012</xref>, version 2.9.0/1.53t; National Institutes of Health, Bethesda). For quantitation, for each genotype, the relative fluorescence intensity of 30 nephrocytes from 6 female flies (five nephrocytes/fly) was analyzed.</p></sec><sec id="s4-3"><title>Immunochemistry</title><p>Immunostaining was performed as previously reported (<xref ref-type="bibr" rid="bib80">Zhao et al., 2022</xref>) with minor changes. Flies were briefly rinsed in 95% ethanol and dissected in 1xPBS at room temperature. Specimens were incubated in primary antibodies overnight at 4°C. The incubations in secondary antibodies were performed either overnight at 4°C or for 2 hr at room temperature. The following antibodies were used: chicken anti-GFP (1:1,000; ab13970, RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:AB_300798">AB_300798</ext-link>, Abcam, Cambridge, UK), mouse monoclonal anti-Pyd (1:100; RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:AB_2618043">AB_2618043</ext-link>, Developmental Studies Hybridoma Bank, IA), goat anti-mouse Alexa Fluor 488 (1:500; A11029, RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID:AB_2534088">AB_2534088</ext-link>, Invitrogen, Eugene, OR), and goat anti-chicken Alexa Fluor 488 (1:500; A11039, AB_2534096, Invitrogen, Eugene, OR). DAPI (0.5 mg/ml in PBST (0.2% Triton X-100 in 1x PBS); D1306, Thermo Fisher Scientific, MA) was used to visualize the nuclei. The nephrocytes were imaged using a ZEISS LSM900 confocal microscope (under Airyscan mode for Pyd images) with ZEISS ZEN acquisition software (blue edition; version 3.0) and a 63x Plan-Apochromat 1.4 N.A. oil objective (ZEISS, Oberkochen, Germany). For quantitative comparison of fluorescence intensities, settings for the control condition were chosen to avoid oversaturation (using Range Indicator in ZEN blue; limiting the observed red dots to avoid oversaturation), then applied across the images for all samples/conditions within the assay. Image J (<xref ref-type="bibr" rid="bib58">Schneider et al., 2012</xref>) was used for image processing (version 2.9.0/1.53t; National Institutes of Health, Bethesda, MD). Typically, six flies were imaged per condition, and representative images for each are displayed in the figures.</p></sec><sec id="s4-4"><title>Transmission electron microscopy (TEM)</title><p>TEM was performed using standardized procedures. In brief, female adults (7 days old) were dissected in Schneider’s <italic>Drosophila</italic> Medium (Thermo Fisher Scientific, MA). The heart tube and the attached nephrocytes were dissected, removed, and fixed using Sorensen phosphate buffer (2% PFA, 2.5% EM grade glutaraldehyde, 2 mM CaCl<sub>2</sub>, 0.1 M NaOH; provided by the Electron Microscopy Core Imaging Facility at the Center for Innovative Biomedical Resources (CIBR), University of Maryland School of Medicine, MD). The processed specimens were imaged using a Philips CM100 TEM, carried out at the Electron Microscopy Core Imaging Facility at the Center for Innovative Biomedical Resources (CIBR) (University of Maryland School of Medicine, MD). The LC-LC distances were measured using the Straight Line tool in Fiji (Image J <xref ref-type="bibr" rid="bib58">Schneider et al., 2012</xref>, version 2.9.0/1.53t; National Institutes of Health, Bethesda, MD) to connect two adjacent lacuna channels (LCs); a straight line was drawn from the middle of the first LC to the middle of the sixth LC, covering five LC-LC intervals on a TEM image, then the measure function was used to obtain the distance value. In total, 60 LC-LC distances were measured per condition in 10 nephrocytes from six 7-day-old female flies. The presence of a dark electron-dense structure in the vacuoles was manually determined and counted in images obtained from 12 nephrocytes for NFD and 29 nephrocytes from HFD from six 7-day-old female flies.</p></sec><sec id="s4-5"><title>Tissue mosaic analysis</title><p>Flp-out clone (<xref ref-type="bibr" rid="bib61">Struhl and Basler, 1993</xref>) induction was performed as previously described (<xref ref-type="bibr" rid="bib20">Duan et al., 2020</xref>). In brief, female virgins of <italic>hs-Flp</italic><sup>122</sup>; UAS-<italic>Flp</italic><sup>JD1</sup>/CyO, <italic>Act-GFP</italic><sup>JMR1</sup>; <italic>Act5C&gt;CD2&gt;Gal4</italic><sup>S</sup>, UAS-<italic>mCD8-GFP</italic><sup>LL6</sup>/TM6b (<xref ref-type="bibr" rid="bib78">Zhao et al., 2015</xref>) were crossed with UAS-<italic>hop.Tum</italic> males. The embryos were collected for 24 hr. First instar larvae (24 hr after embryo collection) received a 10 min heat shock in a 37°C water bath to induce the mosaic clones. After the heat shock, the larvae were maintained at 25°C. One-day-old female adults were subjected to the 10 kD dextran functional assay (described above). The GFP-positive nephrocyte clones and their neighboring nephrocytes were analyzed.</p></sec><sec id="s4-6"><title>Methotrexate treatment</title><p>Methotrexate (06563, Sigma-Aldrich, MO) was dissolved in DMSO to make a 10 mM stock solution. Flies were dissected as described for the nephrocyte functional assays. The dorsal cuticle (with nephrocytes) was transferred to methotrexate solution (10 μM) in Schneider’s <italic>Drosophila</italic> Medium (Thermo Fisher Scientific, MA) and incubated at room temperature for 60 min. The samples incubated in Schneider’s Medium supplemented with DMSO vehicle were used as a control. The specimens were rinsed with Schneider’s <italic>Drosophila</italic> Medium (Thermo Fisher Scientific, MA), then subjected to a functional assay or fixed in 4% PFA for immunochemistry.</p></sec><sec id="s4-7"><title>Nie Red staining</title><p>Newly eclosed <italic>w</italic><sup>1118</sup> flies were fed either a high-fat diet (HFD) or a control diet (CD) for 7 days before staining for lipid droplets using Nile Red. For Nile Red staining, nephrocytes were dissected in 1× PBS and fixed in 4% paraformaldehyde for 1 hr at room temperature. The samples were then washed three times with 1× PBS for 5 min each, followed by incubation with 0.1 μg/mL Nile Red (HY-D0718, MedChemExpress) for 10 min at room temperature. Afterward, the samples were rinsed three more times with 1x PBS for 5 min each.</p></sec><sec id="s4-8"><title>Data analyses and figure preparation</title><p>Image J (<xref ref-type="bibr" rid="bib58">Schneider et al., 2012</xref>) (version .9.0/1.53t; National Institutes of Health, Bethesda, MD) was used to process the raw data of confocal images and to measure the relative fluorescence intensity. The data sets were tested for normality using the Shapiro-Wilk test and plotted using GraphPad Prism 9 software (version 9.5.1). Normally distributed data were analyzed by the two-tailed Student’s t-test, or by two-way ANOVA with Sidak correction. <italic>P</italic>&lt;0.05 was considered significant. The figures were arranged using Adobe Illustrator software (version 2022 26.2.1). Box plots show the median (center line), interquartile range (25th–75th percentiles; box), and whiskers extending to the minimum and maximum values.</p></sec></sec></body><back><sec sec-type="additional-information" id="s5"><title>Additional information</title><fn-group content-type="competing-interest"><title>Competing interests</title><fn fn-type="COI-statement" id="conf1"><p>No competing interests declared</p></fn></fn-group><fn-group content-type="author-contribution"><title>Author contributions</title><fn fn-type="con" id="con1"><p>Conceptualization, Investigation, Methodology, Writing – original draft, Writing – review and editing</p></fn><fn fn-type="con" id="con2"><p>Conceptualization, Investigation, Methodology, Writing – original draft</p></fn><fn fn-type="con" id="con3"><p>Investigation</p></fn><fn fn-type="con" id="con4"><p>Writing – original draft, Writing – review and editing</p></fn><fn fn-type="con" id="con5"><p>Conceptualization, Resources, Formal analysis, Supervision, Funding acquisition, Writing – original draft, Project administration, Writing – review and editing</p></fn></fn-group></sec><sec sec-type="supplementary-material" id="s6"><title>Additional files</title><supplementary-material id="mdar"><label>MDAR checklist</label><media xlink:href="elife-96987-mdarchecklist1-v1.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="sdata1"><label>Source data 1.</label><caption><title>Individual values for each condition and genotype shown in the plots.</title></caption><media xlink:href="elife-96987-data1-v1.xlsx" mimetype="application" mime-subtype="xlsx"/></supplementary-material></sec><sec sec-type="data-availability" id="s7"><title>Data availability</title><p>All relevant data can be found within the article and its supplementary information. Requests for resources and reagents related to this manuscript should be directed to and will be fulfilled by the lead contact, Dr. Zhe Han (zhan@som.umaryland.edu).</p></sec><ack id="ack"><title>Acknowledgements</title><p>We thank the Bloomington <italic>Drosophila</italic> Stock Center (BDSC) based at Indiana University (Bloomington, IN), the Vienna <italic>Drosophila</italic> Resource Center (VDRC) based at Vienna BioCenter (Vienna, Austria), Prof. Norbert Perrimon (Harvard Medical School, Boston, MA; Howard Hughes Medical Institute, Boston, MA), and Prof. Ylva Engström (Stockholm University, Stockholm, Sweden) for sharing <italic>Drosophila</italic> stocks; and the Developmental Studies Hybridoma Bank (DSHB) based at the University of Iowa (Iowa City, IA) for providing the antibodies. 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pub-id-type="doi">10.7554/eLife.96987.3.sa0</article-id><title-group><article-title>eLife Assessment</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Daehn</surname><given-names>Ilse S</given-names></name><role specific-use="editor">Reviewing Editor</role><aff><institution>Icahn School of Medicine at Mount Sinai</institution><country>United States</country></aff></contrib></contrib-group><kwd-group kwd-group-type="evidence-strength"><kwd>Compelling</kwd><kwd>Solid</kwd></kwd-group><kwd-group kwd-group-type="claim-importance"><kwd>Important</kwd></kwd-group></front-stub><body><p>This study presents <bold>important</bold> new insights linking obesity to kidney disease using a Drosophila model. A series of <bold>compelling</bold> experiments demonstrate that a high-fat diet induces excretion of a leptin-like JAK-STAT ligand from fat body, driving the adipose-nephrocyte axis through activated JAK-STAT signaling and subsequently causing a functional defect in nephrocytes. The approach using combination of genetic tools and pharmacological intervention is <bold>solid</bold> and confirms the mechanistic link, together with phenotypic analysis that further supports the authors conclusions.</p></body></sub-article><sub-article article-type="referee-report" id="sa1"><front-stub><article-id pub-id-type="doi">10.7554/eLife.96987.3.sa1</article-id><title-group><article-title>Reviewer #1 (Public review):</article-title></title-group><contrib-group><contrib contrib-type="author"><anonymous/><role specific-use="referee">Reviewer</role></contrib></contrib-group></front-stub><body><p>Summary:</p><p>Zhao and colleagues employ Drosophila nephrocytes as a model to investigate the effects of a high-fat diet on these podocyte-like cells. Through a highly focused analysis, they initially confirm previous research in their hands demonstrating impaired nephrocyte function and move on to observe the mislocalization of a slit diaphragm-associated protein (pyd) and a knock-in into the locus of the Drosophila nephrin (sns). Employing another reporter construct, they identify activation of the JAK/STAT signaling pathway in nephrocytes. Subsequently, the authors demonstrate the involvement of this pathway in nephrocyte function from multiple angles, using a gain-of-function construct, silencing of an inhibitor, and ectopic overexpression of a ligand. Silencing the effector Stat92E via RNAi or inhibiting JAK/STAT with Methotrexate effectively restored impaired nephrocyte function and slit diaphragm architecture induced by a high-fat diet, while showing no impact under normal dietary conditions.</p><p>Strengths:</p><p>The findings establish a link between JAK/STAT activity and the impact of a high-fat diet on nephrocytes. This nicely underscores the importance of organ crosstalk for nephrocytes and supports a potential role for JAK/STAT in diabetic nephropathy, as previously suggested by other models.</p><p>Weaknesses:</p><p>While the analysis provides valuable insights, it appears somewhat over-reliant on tracer uptake in certain instances. Clinical inferences based on a Drosophila model should be interpreted with caution.</p></body></sub-article><sub-article article-type="referee-report" id="sa2"><front-stub><article-id pub-id-type="doi">10.7554/eLife.96987.3.sa2</article-id><title-group><article-title>Reviewer #2 (Public review):</article-title></title-group><contrib-group><contrib contrib-type="author"><anonymous/><role specific-use="referee">Reviewer</role></contrib></contrib-group></front-stub><body><p>Summary:</p><p>In their manuscript, Zhao et al. describe a link between JAK-STAT pathway activation in nephrocytes upon a high-fat diet. Nephrocytes are the homologs to mammalian podocytes, and it has been previously shown that metabolic syndrome and obesity is associated with worse outcomes for chronic kidney disease. A study from 2021 (Lubojemska et al.) could already confirm a severe nephrocyte phenotype upon feeding Drosophila a high fat diet and also linking lipid overflow by expressing adipose triglyceride lipase in the fat body to nephrocyte dysfunction. In this study, the authors identified a second pathway and mechanism, how lipid dysregulation impact on nephrocyte function. In detail, they show an activation of JAK-STAT signaling in nephrocytes upon feeding a high-fat diet, which was induced by Upd2 expression (a leptin-like hormone) in the fat body, the adipose tissue in Drosophila. Further, they could show genetic and pharmacological interventions can reduce JAK-STAT activation and thereby prevent the nephrocyte phenotype in the high-fat diet model.</p><p>Strengths:</p><p>The strength of this study is the combination of genetic tools and pharmacological intervention to confirm a mechanistic link between the fat body/adipose tissue and nephrocytes. Inter-organ communication is crucial in the development of several diseases, but the underlying mechanisms are only poorly understood. Using Drosophila, it is possible to investigate several players of one pathway, here JAK-STAT. This was done, by investigating the functional role of Hop, Socs36E and Stat92E in nephrocytes and has also been combined with feeding a high-fat diet, to assess restoration of nephrocyte morphology and function by inhibiting JAK-STAT signaling. Adding a translational approach was done by inhibiting JAK-STAT signaling with methotrexate, which also resulted in attenuated nephrocyte dysfunction. Expression of the leptin-like hormone upd2 in the fat body is a good approach to study inter-organ communication and the impact of other organs/tissue on nephrocyte function and expands their findings from nephrocyte function towards whole animal physiology.</p><p>Weaknesses:</p><p>Although the general findings of this study are of great interest, the number of flies investigated for the majority of the experiments is very low (6 flies). Also it is not clear whether the 6 flies used are from independent experiments to exclude differences in food/diet.</p></body></sub-article><sub-article article-type="author-comment" id="sa3"><front-stub><article-id pub-id-type="doi">10.7554/eLife.96987.3.sa3</article-id><title-group><article-title>Author response</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Zhao</surname><given-names>Yunpo</given-names></name><role specific-use="author">Author</role><aff><institution>University of Maryland School of Medicine</institution><addr-line><named-content content-type="city">Baltimore</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Duan</surname><given-names>Jianli</given-names></name><role specific-use="author">Author</role><aff><institution>University of Maryland School of Medicine</institution><addr-line><named-content content-type="city">Baltimore</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Seah</surname><given-names>Hannah</given-names></name><role specific-use="author">Author</role><aff><institution>University of Maryland School of Medicine</institution><addr-line><named-content content-type="city">Baltimore</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>van de Leemput</surname><given-names>Joyce</given-names></name><role specific-use="author">Author</role><aff><institution>University of Maryland School of Medicine</institution><addr-line><named-content content-type="city">Baltimore</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Han</surname><given-names>Zhe</given-names></name><role specific-use="author">Author</role><aff><institution>University of Maryland School of Medicine</institution><addr-line><named-content content-type="city">Baltimore</named-content></addr-line><country>United States</country></aff></contrib></contrib-group></front-stub><body><p>The following is the authors’ response to the original reviews</p><disp-quote content-type="editor-comment"><p><bold>Public Reviews:</bold></p><p><bold>Reviewer #1 (Public Review):</bold></p><p>Summary:</p><p>Zhao and colleagues employ Drosophila nephrocytes as a model to investigate the effects of a high-fat diet on these podocyte-like cells. Through a highly focused analysis, they initially confirm previous research in their hands demonstrating impaired nephrocyte function and move on to observe the mislocalization of a slit diaphragmassociated protein (pyd). Employing a reporter construct, they identify the activation of the JAK/STAT signaling pathway in nephrocytes. Subsequently, the authors demonstrate the involvement of this pathway in nephrocyte function from multiple angles, using a gain-of-function construct, silencing of an inhibitor, and ectopic overexpression of a ligand. Silencing the effector Stat92E via RNAi or inhibiting JAK/ STAT with Methotrexate effectively restored impaired nephrocyte function induced by a high-fat diet, while showing no impact under normal dietary conditions.</p><p>Strengths:</p><p>The findings establish a link between JAK/STAT activity and the impact of a high-fat diet on nephrocytes. This nicely underscores the importance of organ crosstalk for nephrocytes and supports a potential role for JAK/STAT in diabetic nephropathy, as previously suggested by other models.</p><p>Weaknesses:</p><p>The analysis is overly reliant on tracer endocytosis and single lines. Immunofluorescence of slit diaphragm proteins would provide a more specific assessment of the phenotypes.</p></disp-quote><p>We thank the reviewer for the positive comments and pointing out that slit diaphragm markers would provide a more specific assessment of the phenotypes. In our revised manuscript, we used Sns-mRuby3, in which mRuby3 was tagged endogenously at the C-terminal of Sns (PMID: 39195240 and PMID: 39431457), to show the slit diaphragm pattern.</p><disp-quote content-type="editor-comment"><p><bold>Reviewer #2 (Public Review):</bold></p><p>Summary:</p><p>In their manuscript, Zhao et al. describe a link between JAK-STAT pathway activation in nephrocytes on a high-fat diet. Nephrocytes are the homologs to mammalian podocytes and it has been previously shown, that metabolic syndrome and obesity are associated with worse outcomes for chronic kidney disease. A study from 2021 (Lubojemska et al.) could already confirm a severe nephrocyte phenotype upon feeding Drosophila a high-fat diet and also linking lipid overflow by expressing adipose triglyceride lipase in the fat body to nephrocyte dysfunction. In this study, the authors identified a second pathway and mechanism, how lipid dysregulation impact on nephrocyte function. In detail, they show activation of JAK-STAT signaling in nephrocytes upon feeding them a high-fat diet, which was induced by Upd2 expression (a leptin-like hormone) in the fat body, and the adipose tissue in Drosophila. Further, they could show genetic and pharmacological interventions can reduce JAK-STAT activation and thereby prevent the nephrocyte phenotype in the high-fat diet model.</p><p>Strengths:</p><p>The strength of this study is the combination of genetic tools and pharmacological intervention to confirm a mechanistic link between the fat body/adipose tissue and nephrocytes. Inter-organ communication is crucial in the development of several diseases, but the underlying mechanisms are only poorly understood. Using Drosophila, it is possible to investigate several players of one pathway, here JAK-STAT. This was done, by investigating the functional role of Hop, Socs36E, and Stat92E in nephrocytes and has also been combined with feeding a high-fat diet, to assess restoration of nephrocyte function by inhibiting JAK-STAT signaling. Adding a translational approach was done by inhibiting JAK-STAT signaling with methotrexate, which also resulted in attenuated nephrocyte dysfunction. Expression of the leptin-like hormone upd2 in the fat body is a good approach to studying inter-organ communication and the impact of other organs/tissue on nephrocyte function and expands their findings from nephrocyte function towards whole animal physiology.</p><p>Weaknesses:</p><p>Although the general findings of this study are of great interest, there are some weaknesses in the study, which should be addressed. Overall, the number of flies investigated for the majority of the experiments is very low (6 flies) and it is not clear whether the flies used, are from independent experiments to exclude problems with food/diet. For the analysis, the mean values of flies should be calculated, as one fly can be considered a biological replicate, but not all individual cells. By increasing the number of flies investigated, statistical analysis will become more solid. In addition, the morphological assessment is rather preliminary, by only using a Pyd antibody. Duf or Sns should be visualized as well, also the investigation of the different transgenic fly strains studying the importance of JAK-STAT signaling in nephrocytes needs to include a morphological assessment. Moreover, the expected effect of feeding a high-fat diet on nephrocytes needs to be shown (e.g. by lipid droplet formation) and whether upd2 is actually increased here should also be assessed. The time points of assessment vary between 1, 3, and 7 days and should be consistent throughout the study or the authors should describe why they use different time points.</p></disp-quote><p>We thank the reviewer for the comments and suggestions. HFD causes enlarged crop (Liao et al, 2021, PMID: 33171202) and accumulation of lipid droplets in the intestine. To exclude the problems with different batches of food/diet, we checked crop and the intestine during the sample preparation as indications of food consistency.</p><p>We followed the suggestion to take the mean values of flies in the data analysis, one was considered a biological replicate in the revised version. We added in another slit diaphragm protein reporter Sns-mRuby3, in which mRuby3 fluorescent protein was tagged at the C-terminal of endogenous Sns. This reporter was used to show the effect of HFD on slit diaphragm protein, manipulation of Jak/Stat pathway (<italic>ppl-Gal4&gt;upd2</italic> and <italic>dot-Gal4&gt;UAS-Stat92E-RNAi</italic>), and drug treatment.</p><p>Lubojemska et al 2021 (PMID: 33945525) showed that HFD leads to lipid droplet accumulation in larval nephrocytes. Following the reviewer’s suggestion, we stained the adult nephrocytes with Nile red and found lipid droplet formation caused by HFD, verifying the HFD effects on lipid droplet accumulation.</p><p>Regarding the timepoints, the newly eclosed flies (1-day old) were treated for 7 days (transferred to fresh diet or shifted from 18 to 29 °C for 7 days to induce target gene expression). Thus, the flies were 7 days old. In the revised manuscript, we changed “1-day-old females” to “7-day-old females” in the figure legend. The exception was Figure 4 panel G and H, we used Day 3 for the <italic>UAS-hop.Tum</italic> overexpression in the flp-out clones, which is different from the HFD approach (Day 7). This is because Hop.Tum is a strong gain of function mutation. <italic>UAS-hop.Tum</italic> overexpression in the eye imaginal disc leads to apoptosis via up-regulating a proapoptotic gene <italic>hid</italic> (Bhawana Maurya et al, 2021, PMID: 33824299). Thus, we used Day 3 for this experiment.</p><disp-quote content-type="editor-comment"><p><bold>Recommendations for the authors:</bold></p><p><bold>Reviewer #1 (Recommendations For The Authors):</bold></p><p>There are relevant issues, that should be addressed:</p><p>Major:</p><p>- The analysis of JAK/STAT signaling in nephrocytes is limited to nephrocyte function, despite the nice slit diaphragm phenotype shown in Figure 2A. What happens to the slit diaphragm in the other genotypes, the rescue settings in particular? Immunofluorescence of Pyd should be explored for all conditions to evaluate proper phenocopy. Tracer endocytosis is much less specific.</p></disp-quote><p>We thank the reviewer for the suggestion. We made a transgenic line Sns-mRuby3, in which mRuby3 was tagged to the endogenous Sns C-terminal. It has been used as a slit diaphragm reporter (PMID: 39195240 and PMID: 39431457). Apart from the tracer assays, we used Sns-mRuby3 reporter and/or Pyd staining to visualize the changes in slit-diaphragm structures.</p><disp-quote content-type="editor-comment"><p>- The interventions are restricted to single RNAi lines and reporters, raising concerns about specificity/potential off-targets. Additional lines should be tested for verification.</p></disp-quote><p>Different versions of RNAi lines are available for targeting fly genes. For UAS-<italic>Socs36E</italic>-RNAi, we chose the one that was generated with a short hairpin, which is known to restrict the off-target effects (Ni et al, 2011, PMID: 21460824). For UAS-<italic>Stat92E</italic>-RNAi, we added in an independent RNAi line (Figure 6 - figure supplement 1 and 2).</p><disp-quote content-type="editor-comment"><p>Minor:</p><p>- In Figure 2C, the image of HFD shows a section that cuts through the surface at a shallower angle, making everything appear blurry. This image should be replaced.</p></disp-quote><p>We replaced Figure 2C (the image of HFD) with another one.</p><disp-quote content-type="editor-comment"><p>- What is the relevance (if any) of reduced electrodense vacuoles with a high-fat diet? An effect on endocytic trafficking/endosome architecture remains unexplored.</p></disp-quote><p>Lubojemska et al (PMID: 33945525) studied the endocytic trafficking/endosome architecture of the larval nephrocytes and found that HFD impaired the endocytosis. We studied the adult pericardial nephrocytes. It is very likely that the endocytic trafficking/endosome architecture is affected by HFD in the adult nephrocytes.</p><disp-quote content-type="editor-comment"><p>- How do the findings presented in this manuscript correlate with a similar study by Lubojemska et al.? At least the discussion should provide more evaluation of this aspect.</p></disp-quote><p>Lubojemska et al (PMID: 33945525) assayed the larval nephrocytes and found that a HFD leads to the ectopic accumulation of lipid droplets in the nephrocytes and decreased endocytosis. They further demonstrated that lipid droplet lipolysis and PGC1α counteracts the harmful effects of a HFD. We performed Nile red staining and verified the accumulation of lipid droplets in the adult pericardial nephrocytes upon HFD feeding, which agrees with Lubojemska discovery. We found that a HFD activates Jak/Stat pathway, which mediates the nephrocyte functional defects. A previous study showed that Stat1 has an inhibitory effect on PGC1α transcription (PMID: 26689548). Further study is needed to investigate the interaction between Jak/Stat pathway and PGC1α transcription. We added the information to the discussion.</p><disp-quote content-type="editor-comment"><p>- Please check spelling and grammar.</p><p><bold>Reviewer #2 (Recommendations For The Authors):</bold></p><p>(1) Which cells are investigated? Please state.</p></disp-quote><p>Pericardial nephrocytes were used in this study. The information was added to the result parts.</p><disp-quote content-type="editor-comment"><p>(2) Rephrase 'chronic kidney disease model'. Feeding for 7 days and assessment after 7 days cannot be considered chronic as flies can live more than 60 days.</p></disp-quote><p>Lubojemska et al (PMID: 33945525) fed the newly hatched larvae with a HFD and used the third instar larvae for the experiments. The term “chronic kidney disease” has been used in the reference PMID: 33945525. It takes about 4 days for fly larvae to develop from the first instar to the third instar. Thus, the animals were fed on the HFD for only 4 days. In this regard, feeding for seven days might be considered as chronic.</p><disp-quote content-type="editor-comment"><p>(3) Line 89: (Curran et al., 2014). with risk increasing risk as BMI increases (Hsu et al., 2006). Please correct this sentence.</p></disp-quote><p>We thank the reviewer for finding the error. In the revised version, the sentence was changed as “with increasing risk as BMI increases (Hsu et al., 2006)”.</p><disp-quote content-type="editor-comment"><p>(4) Figure 1: The authors should explain why they use FITC-Albumin and 10kDA dextran, what are the differences, and why are both used?</p></disp-quote><p>The tracers are different in size (70kD FITC-Albumin and 10kDA dextran). Both FITC-Albumin and 10kDA dextran have been used in previous publications (Zhao et al 2024, PMID: 39431457 and Weavers et al 2009, PMID: 18971929) to show that the nephrocytes can efficiently take up the tracers of different sizes.</p><disp-quote content-type="editor-comment"><p>(5) Figure 3: The JAK-STAT sensor was used on Day 1 to confirm activation of JAKSTAT signaling, which means a very fast response towards the HFD after 24hrs. How is the activation after 7 days? The nephrocyte assessment in Figures 1 and 2 is done at the later time point, how about earlier time points in HFD? One would expect an earlier phenotype as well if JAK-STAT signaling is causative.</p></disp-quote><p>In Figure 3C, newly eclosed flies (1-day old) were fed on a control diet or a HFD for 7 days. Thus, in the legend it shall be “7-day-old females”. Sorry for misleading. The caption was updated as “7-day-old females”.</p><disp-quote content-type="editor-comment"><p>(6) Figure 4H: I don't understand how many cells or flies are depicted and analysed? Are the dots one nephrocyte from 4 flies? If yes, the numbers need to be increased.</p></disp-quote><p>In figure 4H, we quantified 5 <italic>UAS-hop.Tum</italic> clones and 5 neighbor cells. We only found 5 clones from 4 flies. We didn’t quantify all the nephrocytes, since we compared the clone with its neighbor cell. To make it easier to follow, we changed the description as “n=5 clones and 5 neighbor cells”.</p><disp-quote content-type="editor-comment"><p>(7) Figure 4: Why are flies investigated at different ages? Day 1 vs Day 3? This should be consistent with the HFD approach and day 7. Or investigate the HFD at earlier time points as well.</p></disp-quote><p>In Figure 4, the newly eclosed flies (1-day old) were shifted from 18 to 29 °C for 7 days to induce target gene expression. Thus, the flies were 7-day old. In the revised manuscript, we changed “1-day-old females” to “7-day-old females” in the figure legend. We used Day 3 for the UAS-hop.Tum overexpression in the flp-out clones, which is different from the HFD approach (Day 7). This is because Hop.Tum is a strong gain of function mutation. <italic>UAS-hop.Tum</italic> overexpression in the eye imaginal disc leads to apoptosis via up-regulating a proapoptotic gene <italic>hid</italic> (Bhawana Maurya et al, 2021, PMID: 33824299). Thus, we used Day 3 for this experiment.</p><disp-quote content-type="editor-comment"><p>(8) Figure 5: Do the authors see upd2-GFP in the nephrocyte or at the nephrocyte? Is upd2 filtered to bind the JAK-STAT-receptor? They should show this, which is easy to do due to the GFP label.</p></disp-quote><p>We thank the reviewer for the suggestion. We looked into the nephrocyte from <italic>ppl-Gal4&gt;upd2-GFP</italic> flies and found Upd2-GFP in the nephrocytes. We further showed that <italic>ppl-Gal4</italic> was not expressed in the nephrocytes, suggesting that Upd2-GFP is secreted from the fat body and transported to the nephrocytes. We stained the nephrocytes for Pyd and found compromised fingerprint pattern caused by Upd2-GFP expression in the fat body. The data was added to Figure 5 - figure supplement 1.</p><disp-quote content-type="editor-comment"><p>(9) Figure 5: What are the upd2 levels after day 1 and compared to HFD at day 7? In the Rajan et al manuscript, upd2 levels have been assessed by qPCR, this can be done here as well. Although there is a mechanistic link shown here, I think it would be interesting to test the upd2 levels at the different time points assessed.</p></disp-quote><p>In the Rajan et al manuscript, they showed that the expression of upd2 was up regulated by HFD. My previous work showed that HFD changes taste perception. We performed qPCR to determine the expression of upd2 and verified that upd2 was upregulated in HFD fed flies (Yunpo Zhao et al. 2023. PMID: 37934669). We included the reference in the revised version.</p><disp-quote content-type="editor-comment"><p>(10) Figure 6: Does a Socs36E overexpression e.g. with the Bloomington strain 91352 also rescue the HFD phenotype, by blocking JAK-STAT signaling?</p></disp-quote><p>We thank the reviewer for the suggestion. We tested the effect of Socs36E overexpression and observed that <italic>UAS-Socs36E</italic> can partially rescue HFD caused nephrocyte functional decline. The data was not included in the revised manuscript. Notably, apart from having an inhibitory effect on the Jak/Stat, Socs36E represses MAPK pathway (Amoyel et al, 2016, PMID: 26807580).</p><disp-quote content-type="editor-comment"><p>(11) Figure 7: What is the control for the methotrexate treatment? What is the solvent?</p></disp-quote><p>We used DMSO as the solvent for methotrexate and used it as the control for the methotrexate treatment. We added the following sentences to the method parts, “Methotrexate (06563, Sigma-Aldrich, MO) was dissolved in DMSO to make a 10mM stock solution”, and “The samples incubated in Schneider’s Medium supplemented with DMSO vehicle were used a control”.</p><disp-quote content-type="editor-comment"><p>(12) Why did the authors use Dot-Gal4 for the Socs36E knockdown and Dot-Gal4ts for the Stat92E knockdown?</p></disp-quote><p>We used Dot-Gal4ts and temperature shifting to restrict the Stat92E knockdown at adult stages.</p><disp-quote content-type="editor-comment"><p>(13) Supplementary Figure 1: Please add the individual data to the figure as done for all other figures.</p></disp-quote><p>We thank the reviewer for this comment. The figure individual data was added according to the suggestion.</p></body></sub-article></article>