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<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
<issn pub-type="epub">2296-634X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1499457</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2024.1499457</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Review</subject>
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</subj-group>
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<title-group>
<article-title>The pro-fibrotic role of autophagy in renal intrinsic cells: mechanisms and therapeutic potential in chronic kidney disease</article-title>
<alt-title alt-title-type="left-running-head">Zhang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcell.2024.1499457">10.3389/fcell.2024.1499457</ext-link>
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<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Ying-Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2013288/overview"/>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhou</surname>
<given-names>Xiao-Tao</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2811336/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Huang</surname>
<given-names>Geng-Zhen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Liao</surname>
<given-names>Wen-Jun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Xian</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Yue-Rong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>School of Basic Medicine</institution>, <institution>Chengdu University of Traditional Chinese Medicine</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>The Affiliated Hospital of Southwest Medical University</institution>, <addr-line>Luzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Hospital of Chengdu University of Traditional Chinese Medicine</institution>, <addr-line>Chengdu</addr-line>, <addr-line>Sichuan</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Chengdu second people&#x2019;s Hospital</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/726003/overview">Xianwei Wang</ext-link>, Xinxiang Medical University, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1530850/overview">Yuan Gui</ext-link>, University of Connecticut, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1920090/overview">Jie Xian</ext-link>, University of California, San Diego, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Yue-Rong Ma, <email>mayr666@163.com</email>; Xian Chen, <email>chenxian@cdutcm.edu.cn</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>12</volume>
<elocation-id>1499457</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Zhang, Zhou, Huang, Liao, Chen and Ma.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Zhang, Zhou, Huang, Liao, Chen and Ma</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Chronic kidney disease (CKD) represents a significant global public health burden, affecting over 10% of the world&#x2019;s population. Its high morbidity, multifactorial complications, and substantial mortality impose significant burdens on healthcare systems and patients, necessitating considerable investment in healthcare resources. Renal fibrosis (RF) is a key pathological feature and driver of CKD progression. Extensive research indicates that autophagy participates in the complete pathogenesis of RF. Under physiological conditions, autophagy is essential for maintaining renal cellular homeostasis. However, under pathological conditions, perhaps aberrant and sustained activation of autophagy contributes to oxidative stress, apoptosis, inflammation, etc. Ultimately, they accelerate the development of RF. The role of autophagy in RF is currently controversial. This review investigates the molecular mechanisms by which intrinsic renal cell autophagy contributes to RF across diverse disease models, suggesting that autophagy and its associated regulatory pathways represent potential diagnostic and therapeutic targets for CKD.</p>
</abstract>
<kwd-group>
<kwd>chronic kidney disease</kwd>
<kwd>renal fibrosis</kwd>
<kwd>autophagy</kwd>
<kwd>mechanism</kwd>
<kwd>therapeutic targets</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cell Death and Survival</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Chronic kidney disease (CKD) is a progressive disorder characterized by chronic structural and functional damage to the kidneys, with diverse etiologies. It is associated with high morbidity, significant mortality, and a range of debilitating complications (<xref ref-type="bibr" rid="B14">Drawz and Rahman, 2015</xref>). The latest Global Burden of Disease (GBD) study reports a global prevalence of CKD exceeding 10%, with a continuing upward trend. By 2040, CKD is projected to be the fifth leading cause of global mortality, imposing substantial burdens on healthcare systems and patients, demanding significant healthcare resource allocation (<xref ref-type="bibr" rid="B29">Kalantar-Zadeh et al., 2021</xref>). Importantly, renal fibrosis (RF) is a key pathological feature and driver of CKD progression. Severe RF is frequently observed in patients with CKD progressing to end-stage kidney disease (ESKD) (<xref ref-type="bibr" rid="B49">Liu, 2011</xref>). Elucidating the molecular mechanisms underlying RF and developing effective interventions are, therefore, crucial for advancing CKD research.</p>
<p>RF results from a dysregulated tissue repair response triggered by various factors, including trauma, metabolic disorders, chronic inflammation, and autoimmune processes. In kidney disease, this dysregulated repair process results in excessive extracellular matrix (ECM) deposition and scar formation. This process involves the sustained activation and expression of key pro-fibrotic cytokines, including transforming growth factor-beta 1 (TGF-&#x3b2;1), connective tissue growth factor (CTGF), tumor necrosis factor-alpha (TNF-&#x3b1;), interleukin-6 (IL-6), alpha-smooth muscle actin (&#x3b1;-SMA), and collagen type I (Col-I). This is accompanied by epithelial&#x2013;mesenchymal transition (EMT), increased mesenchymal cell activation, and excessive ECM deposition, ultimately disrupting the normal architecture of the renal tubules, glomeruli, and interstitium (<xref ref-type="bibr" rid="B23">Henderson et al., 2020</xref>).</p>
<p>Autophagy is a cellular process involving the degradation of damaged organelles and macromolecules in eukaryotic cells (<xref ref-type="bibr" rid="B32">Klionsky, 2007</xref>). Three main types of autophagy are distinguished based on the mechanism of substrate delivery to the lysosome: chaperone-mediated autophagy (CMA), micro-autophagy, and macro-autophagy. Macro-autophagy is the predominant form of autophagy (<xref ref-type="bibr" rid="B18">Galluzzi et al., 2017a</xref>). For the remainder of this review, the term &#x201c;autophagy&#x201d; will refer specifically to macro-autophagy. Autophagy is primarily initiated by autophagy-related (ATG) genes and modulated by various signaling pathways. Key regulatory pathways include the mammalian target of rapamycin (mTOR), mitogen-activated protein kinase (MAPK), AMP-activated protein kinase (AMPK), and phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signaling pathways (<xref ref-type="bibr" rid="B68">Shu et al., 2023</xref>) (<xref ref-type="fig" rid="F1">Figure 1</xref>). Recent research has revealed a complex interplay between ribonucleotide reductase (RRM2) and autophagy. RRM2 activation disrupts dNTP homeostasis (<xref ref-type="bibr" rid="B77">Wang et al., 2022</xref>), potentially inhibiting autophagy; however, receptor-mediated selective autophagy can degrade RRM2 transcripts (<xref ref-type="bibr" rid="B71">Tan et al., 2023</xref>). Furthermore, the limited research on the role of RRM2 in RF suggests this as a promising area for future investigation. Extensive research supports the multifaceted role for autophagy throughout the progression of RF (<xref ref-type="bibr" rid="B30">Kaushal et al., 2020</xref>; <xref ref-type="bibr" rid="B70">Tang et al., 2020</xref>). Autophagy is essential for maintaining renal cell homeostasis under physiological conditions. However, under pathological conditions, perhaps aberrant and sustained activation of autophagy contributes to a complex interplay of events, including apoptosis, oxidative stress, inflammation, pro-fibrotic factor secretion, cellular senescence, cell cycle arrest, and tissue damage, ultimately leading to RF (<xref ref-type="bibr" rid="B19">Galluzzi et al., 2017b</xref>; <xref ref-type="bibr" rid="B5">Beaulaton and Lockshin, 1977</xref>; <xref ref-type="bibr" rid="B6">Berry and Baehrecke, 2007</xref>; <xref ref-type="bibr" rid="B84">Yu et al., 2004</xref>; <xref ref-type="bibr" rid="B63">Ruby et al., 2023</xref>). As noted by <xref ref-type="bibr" rid="B11">Cybulsky (2017)</xref>, protein misfolding and endoplasmic reticulum (ER) stress in RF are closely coordinated with autophagy. A recent review highlights dysregulation of FUNDC1-mediated mitophagy as a key contributor to the progression of various renal diseases, including RF (<xref ref-type="bibr" rid="B41">Li J. et al., 2024</xref>). Moreover, a recent study demonstrated that autophagy in renal tubular epithelial cells regulates fibroblast growth factor 2 (FGF2) expression via the extracellular signal-regulated kinase (ERK)/MAPK pathway, promoting fibroblast proliferation and fibrosis (<xref ref-type="bibr" rid="B52">Livingston et al., 2024</xref>). However, the mechanisms by which autophagy influences RF are complex and not yet fully understood. This review aims to elucidate the molecular mechanisms governing autophagy initiation and maintenance across various renal cell types, clarifying its pro-fibrotic role. Furthermore, we will discuss the potential of targeting autophagy for the detection, diagnosis, and treatment of renal diseases, aiming to inform efficient strategies for prevention and delay of CKD progression.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Process of autophagy. Autophagy, a multi-step process, is primarily regulated by autophagy-related proteins (ATGs). Initiation involves mTORC1 downregulation, leading to ULK1 and ATG13 dephosphorylation and subsequent autophagosome nucleation, influenced by pathways including PI3K/AKT, AMPK, and MAPK. Nucleation utilizes the VPS34 complex (beclin-1, VPS34, VPS15, and ATG14), further regulated by UVRAG, Bif-1, and AMBRA1. Elongation depends on ATG conjugation systems (ATG12&#x2013;ATG5&#x2013;ATG16 and LC3-PE), culminating in autophagosome maturation through microtubule-mediated transport to lysosomes for fusion and autolysosome formation. Finally, autolysosomal degradation completes the process (<xref ref-type="bibr" rid="B19">Galluzzi et al., 2017b</xref>).</p>
</caption>
<graphic xlink:href="fcell-12-1499457-g001.tif"/>
</fig>
</sec>
<sec id="s2">
<title>2 The regulatory mechanism and significance of autophagy in different cells in RF</title>
<sec id="s2-1">
<title>2.1 Podocyte autophagy and RF</title>
<p>Podocytes, located in the outer layer of the glomerular filtration barrier (GFB), are crucial for glomerular filtration. RF causes podocyte damage and loss, disrupting the glomerular filtration barrier and leading to significant proteinuria (<xref ref-type="bibr" rid="B1">Asanuma et al., 2003</xref>). Extensive research indicates that podocytes exhibit the highest basal autophagy levels among intrinsic renal cells, playing a particular role in maintaining podocyte ultra-structure and GFB homeostasis (<xref ref-type="bibr" rid="B58">Pavenst&#xe4;dt et al., 2003</xref>). However, accumulating evidence suggests that elevated podocyte autophagy exacerbates podocyte injury in the context of RF. One study using a mouse podocyte model with silenced mVps34 demonstrated podocyte vacuolation, enlarged autophagosomes and autophagic lysosomes, and foot process effacement at 6&#xa0;weeks. Glomerular sclerosis and RF were observed, accompanied by significant proteinuria and renal dysfunction. Significant increases in lysosomal markers (LAMP1 and LAMP2) and autophagosome markers (LC3-II/I) were detected in glomerular lysates. These findings suggested that mVps34 deletion leads to upregulation of autophagy, contributing to podocyte damage and RF. This emphasizes mVps34&#x2019;s crucial function in regulating intracellular vesicle trafficking through the autophagic pathway (<xref ref-type="bibr" rid="B8">Chen et al., 2013</xref>). Silencing the COQ2 gene in a <italic>Drosophila</italic> nephropathy model induces oxidative stress, triggering mitophagy and macro-autophagy in podocytes. This finding established a link between COQ2 and the autophagy pathway and demonstrated that podocyte damage in this model is accompanied by aberrant autophagy activation (<xref ref-type="bibr" rid="B88">Zhu et al., 2017</xref>). <xref ref-type="bibr" rid="B57">Pan et al. (2022)</xref> observed upregulation of HOXA11-OS and downregulation of miR-124-3p in podocytes from the MRL/lpr model. This, in turn, resulted in upregulated Cyr61 and autophagy factors, ultimately contributing to cellular damage and exacerbating lupus nephritis (LN) progression. Additionally, <xref ref-type="bibr" rid="B20">Gao et al. (2022)</xref> showed that Mahuang Fuzi and Shenzhuo decoction (MFSD) mitigates podocyte damage in membranous nephropathy (MN) by suppressing the Wnt/&#x3b2;-catenin signaling pathway and, consequently, downregulating autophagy. This resulted in reduced RF. These pieces of evidence demonstrate that aberrant podocyte autophagy can be detrimental in kidney disease, accelerating disease progression. However, this contrasts with the findings of many studies, which suggest a protective role for podocyte autophagy in various kidney disease models (<xref ref-type="bibr" rid="B4">Barutta et al., 2023</xref>; <xref ref-type="bibr" rid="B22">Guo et al., 2024</xref>; <xref ref-type="bibr" rid="B54">Njeim et al., 2024</xref>). Further research is needed to fully clarify the role of podocyte autophagy in fibrosis development (<xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="table" rid="T1">Table 1</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Role of podocyte autophagy in RF. Agents shown in black font exacerbate renal injury by promoting podocyte autophagy, whereas agents shown in blue font protect renal tissues by inhibiting autophagy and its associated regulators. Black arrows indicate promotion, and red &#x201c;T&#x201d;-shaped bars indicate inhibition. These studies demonstrate the deleterious effects of podocyte autophagy activation on the kidney. mVps34, the mammalian homolog of yeast vacuolar protein sorting defective 34; HOXA11-OS, the opposite strand of homeobox A11; Cyr61, cysteine-rich 61; MFSD, Mahuang Fuzi and Shenzhuo decoction; MN, membranous nephropathy; LN, lupus nephritis.</p>
</caption>
<graphic xlink:href="fcell-12-1499457-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Factors influencing podocyte autophagy changes in RF.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Model</th>
<th align="left">Autophagy-targeted cells</th>
<th align="left">Drug/agent</th>
<th align="left">Effect on autophagy</th>
<th align="left">Mechanism and effect</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">mVps34pdKOmice</td>
<td rowspan="2" align="left">Podocytes</td>
<td rowspan="2" align="left">mVps34-knockout</td>
<td rowspan="2" align="left">&#x2191; Autophagy</td>
<td align="left">&#x2191; LAMP1 and LAMP2 and LC3-II/I</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B8">Chen et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2191; Podocyte damage and glomerulosclerosis</td>
</tr>
<tr>
<td rowspan="2" align="left">COQ2 deletion <italic>drosophila</italic>
</td>
<td rowspan="2" align="left">Podocytes</td>
<td rowspan="2" align="left">COQ2 deletion</td>
<td rowspan="2" align="left">&#x2191; Autophagy</td>
<td align="left">&#x2191; Oxidative stress (ROS)</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B88">Zhu et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2191; Mitochondrial and podocyte damage</td>
</tr>
<tr>
<td align="left">LN patients</td>
<td rowspan="2" align="left">Podocytes</td>
<td rowspan="2" align="left">HOXA11-OS</td>
<td rowspan="2" align="left">&#x2191; Autophagy</td>
<td align="left">&#x2193; miR-124-3p and &#x2191; Cyr61 to activate autophagy</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B57">Pan et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">MRL/lpr mice</td>
<td align="left">&#x2191; Podocyte damage and the progression of LN</td>
</tr>
<tr>
<td rowspan="2" align="left">PHN rats</td>
<td rowspan="2" align="left">Podocytes</td>
<td rowspan="2" align="left">MFSD</td>
<td rowspan="2" align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; Wnt/&#x3b2;-catenin signaling pathway</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B20">Gao et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2193; Podocyte damage and the progression of MN.</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-2">
<title>2.2 Endothelial cell autophagy and RF</title>
<p>The kidney contains a diverse population of endothelial cells (ECs), including glomerular ECs (GECs), vascular ECs (VECs), and lymphatic ECs (LECs). They reside in distinct renal microenvironments and perform specialized transport functions (<xref ref-type="bibr" rid="B28">Jourde-Chiche et al., 2019</xref>). GECs located in the inner layer of the GFB are particularly important for maintaining GFB integrity and supporting podocyte function. Renal endothelial dysfunction is a key contributor to the progression of CKD and RF (<xref ref-type="bibr" rid="B61">Rabelink and de Zeeuw, 2015</xref>). While the precise mechanisms underlying this dysfunction remain largely unclear, the role of autophagy in renal ECs remains largely unexplored. High glucose exposure in cultured mouse&#xa0;GECs inhibits AMPK signaling, upregulates autophagy, and promotes ECM remodeling. Conversely, exogenous H2S activates the STRAD/MO25/LKB1 pathway, leading to AMPK phosphorylation, autophagy inhibition, and reduced ECM deposition, thus mitigating GEC damage and preventing fibrosis (<xref ref-type="bibr" rid="B35">Kundu et al., 2013</xref>). Notably, <xref ref-type="bibr" rid="B25">Hu et al. (2017)</xref> developed sialic acid&#x2013;polyethylene glycol&#x2013;dexamethasone (SA-PEG-DXM) micelles, which accumulated in the kidneys of AKI mouse models, effectively inhibiting VEC autophagy (beclin-1, Atg5, and Atg12) and reducing pro-inflammatory cytokine production, thus mitigating kidney injury.</p>
<p>In addition, another finding suggests that sustained VEC autophagy activation and inflammatory response in sepsis-related AKI models contribute to exacerbated tissue damage, poor prognosis, and RF, while ulinastatin can protect endothelial cells and mitigate sepsis-induced microvascular barrier dysfunction by inhibiting autophagy and inflammation (<xref ref-type="bibr" rid="B45">Li et al., 2022</xref>). <xref ref-type="bibr" rid="B78">Wei et al. (2022)</xref> demonstrated that CD137 activation in LECs and macrophages from a unilateral ureteral obstruction (UUO) mouse model and IgA nephropathy (IgAN) patients induced LEC autophagy via the PI3K/AKT/mTOR pathway. This enhanced autophagy promoted LEC proliferation, migration, and tubulogenesis, contributing to fibrosis. Thus, the excessive lymphatic endothelial autophagy observed in this study has detrimental effects. Autophagy significantly modulates the function of kidney endothelial cells, highlighting the importance of timely intervention in autophagy regulation. However, the precise signaling pathways and molecular mechanisms regulating autophagy may differ among EC subtypes, warranting further investigation (<xref ref-type="fig" rid="F3">Figure 3</xref>; <xref ref-type="table" rid="T2">Table 2</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Role of EC autophagy in RF. Agents shown in black font exacerbate renal injury by promoting podocyte autophagy, whereas agents shown in blue font reduce renal tissues by inhibiting autophagy and its associated regulators. Black arrows indicate promotion, and red &#x201c;T&#x201d;-shaped bars indicate inhibition. These studies demonstrate the deleterious effects of EC autophagy activation on the kidney. ECs, endothelial cells; GECs, glomerular ECs; VECs, vascular ECs; LECs, lymphatic ECs; H2S, hydrogen sulfide; STRAD, STE- 20-related protein; MO25, mouse protein-25; LKB1, liver kinase B1; AMP-K, adenosine monophosphate-activated protein kinase; ECM, extracellular matrix; SA-PEG-DXM/DXM, sialic acid&#x2013;polyethylene glycol&#x2013;dexamethasone/dexamethasone.</p>
</caption>
<graphic xlink:href="fcell-12-1499457-g003.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Factors influencing EC autophagy changes in RF.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Model</th>
<th align="left">Autophagy-targeted cell</th>
<th align="left">Drug/agent</th>
<th align="left">Effect on autophagy</th>
<th align="left">Mechanism and effect</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">HD-induced mice</td>
<td rowspan="2" align="left">GECs</td>
<td rowspan="2" align="left">H2S</td>
<td rowspan="2" align="left" style="color:#212529">&#x2193; Autophagy</td>
<td align="left" style="color:#212529">&#x2191; STRAD/MO25/LKB1, &#x2191; P-AMPK</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B35">Kundu et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left" style="color:#212529">&#x2193; GEC injury and dysfunction and ECM deposition</td>
</tr>
<tr>
<td rowspan="2" align="left">LPS-induced AKI mice</td>
<td rowspan="2" align="left">VECs</td>
<td rowspan="2" align="left">SA-PEG-DXM/DXM</td>
<td rowspan="2" align="left" style="color:#212529">&#x2193; Autophagy</td>
<td align="left" style="color:#212529">&#x2193; Beclin-1, Atg5-Atg12, and ROS</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B25">Hu et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" style="color:#212529">&#x2193; VEC injury, apoptosis, inflammatory, and microvascular barrier</td>
</tr>
<tr>
<td align="left">IgAN patients</td>
<td rowspan="2" align="left">LECs</td>
<td align="left">Atg5 and Atg7</td>
<td rowspan="2" align="left" style="color:#212529">&#x2193; Autophagy</td>
<td align="left" style="color:#212529">&#x2193; CD137/CD137L and &#x2193; PI3K/AKT/mTOR</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B78">Wei et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">UUO mice</td>
<td align="left">Knockdown</td>
<td align="left" style="color:#212529">&#x2193; LEC migration, tube formation, and renal fibrosis</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-3">
<title>2.3 Glomerular mesangial cell autophagy and RF</title>
<p>Glomerular mesangial cells (GMCs), a critical component of the glomerular tuft, have a significant effect in regulating the glomerular filtration rate, in concert with neighboring podocytes and GECs. In RF, GMCs contribute to glomerular ECM accumulation and pro-fibrotic cytokine release (<xref ref-type="bibr" rid="B85">Zhao, 2019</xref>). Early studies showed that cadmium (Cd) exposure activated ERK-mediated autophagy and mitochondrial-caspase-mediated apoptosis in GMCs. Pharmacological autophagy inhibition increased GMC viability, suggesting a link between autophagy activation and Cd-induced GMC death (<xref ref-type="bibr" rid="B75">Wang et al., 2008</xref>). Further study revealed that Cd partially activates GMC autophagy via increased reactive oxygen species (ROS) and glycogen synthase kinase-3&#x3b2; (GSK-3&#x3b2;) (<xref ref-type="bibr" rid="B76">Wang et al., 2009</xref>). Additionally, one study had shown that advanced glycation end products (AGEs) upregulated autophagy-related factors (LC3 I/II, beclin-1, Atg3, and Atg7) in GMCs from diabetic kidneys. Chrysin may inhibit RF by modulating autophagy and mTOR signaling, thereby reducing diabetes-associated actin polymerization and mesangial cell motility (<xref ref-type="bibr" rid="B36">Lee et al., 2019</xref>). Furthermore, homocysteine (Hcy) exposure in human mesangial cells (HMCs) induces endoplasmic reticulum stress (ERS), triggering Atg5-dependent autophagy. This leads to increased Bax and caspase-3 expression, resulting in glomerular dysfunction and sclerosis. Atg5 silencing reverses these effects. These findings indicate that Hcy-induced GMC autophagy is detrimental (<xref ref-type="bibr" rid="B39">Liang et al., 2019</xref>). In conclusion, evidence suggests that excessive mesangial cell autophagy is associated with adverse outcomes in RF. However, research is limited, primarily focusing on early <italic>in vitro</italic> studies, with limited investigation into the effects of mesangial cell autophagy on RF observed in the past 5&#xa0;years. Therefore, developing animal models specifically targeting GMC autophagy-related genes is crucial for advancing our understanding (<xref ref-type="fig" rid="F4">Figure 4</xref>; <xref ref-type="table" rid="T3">Table 3</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Role of GMC autophagy in RF. Agents shown in black font exacerbate renal injury by promoting podocyte autophagy, whereas agents shown in blue font protect the renal tissue by inhibiting autophagy and its associated regulators. Black arrows indicate promotion, and red &#x201c;T&#x201d;-shaped bars indicate inhibition. These studies demonstrate the deleterious effects of GMC autophagy activation on the kidney. GMCs, glomerular mesangial cells; MCs, mesangial cells; 3-MA, 3-methyladenine; 2-APB, 2-aminoethoxydiphenylborate; BAPTA-AM,1,2-bis (2-amino-phenoxy) ethane N,N,N,N-tetraacetic acid; CaN, calcineurin; GSK-3&#x3b2;, glycogen synthase kinase-3&#x3b2;; siRNAs, small interfering RNAs; ER, endoplasmic reticulum; ERS, endoplasmic reticulum stress; IP3R, inositol-1,4,5-tri-phosphate receptor; ERK, extracellular signal-regulated kinase; Mito, mitochondria; ROS, reactive oxygen species; mTOR, mammalian target of rapamycin; 4-PBA, 4-phenylbutyric acid; &#x3b1;-SMA, &#x3b1;-smooth muscle actin; Hcy, homocysteine; CHOP, C/EBP homologous protein.</p>
</caption>
<graphic xlink:href="fcell-12-1499457-g004.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Factors influencing MC autophagy changes in RF.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Model</th>
<th align="left">Autophagy-targeted cell</th>
<th align="left">Drug/agent</th>
<th align="left">Effect on autophagy</th>
<th align="left">Mechanism and effect</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Cd-induced<break/>MES-13 cells</td>
<td align="left">GMCs</td>
<td align="left">3-MA, 2-APB, CaN, and BAPTA-AM<break/>GSK-3b siRNA</td>
<td align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; ER-IP3R, Ca2&#x2b;-ERK, and Ca2&#x2b;-mito-caspase<break/>&#x2193; ROS-GSK-3b<break/>&#x2193; Mitochondrial collapse, GMC injury, and death</td>
<td align="left">
<xref ref-type="bibr" rid="B75">Wang et al. (2008),</xref> <xref ref-type="bibr" rid="B76">Wang et al. (2009)</xref>
</td>
</tr>
<tr>
<td align="left">db/db mice<break/>AGE-exposed<break/>HRMC</td>
<td align="left">GMCs</td>
<td align="left">Chrysin</td>
<td align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; mTOR and F-actin, cortactin, and fascin-1<break/>&#x2193; GMC damage and the progression of DN.</td>
<td align="left">
<xref ref-type="bibr" rid="B36">Lee et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Hcy-induced<break/>HRMC</td>
<td align="left">GMCs</td>
<td align="left">Atg5 siRNA<break/>4-PBA</td>
<td align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; Oxidative stress, ERS (GRP78, p-eIF2a, ATF4, and CHOP)<break/>&#x2193; GMC injury, glomerulosclerosis, and renal fibrosis</td>
<td align="left">
<xref ref-type="bibr" rid="B39">Liang et al. (2019)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-4">
<title>2.4 Renal tubular epithelial cell autophagy and RF</title>
<p>Renal tubular epithelial cells (RTECs) are essential components of the renal tubules and are highly susceptible to various forms of injury, including hypoxia, toxins, and proteinuria (<xref ref-type="bibr" rid="B46">Liu et al., 2018</xref>). Dysregulation of signaling pathways associated with RTEC loss is a key factor in RF development (<xref ref-type="bibr" rid="B21">Grgic et al., 2012</xref>). While basal autophagy levels in RTECs are typically lower than in other renal cells, RTEC autophagy is often significantly upregulated during RF induced by diverse etiologies (<xref ref-type="bibr" rid="B12">Dai et al., 2022</xref>). <xref ref-type="bibr" rid="B53">Miller and Palade (1964),</xref> who used electron microscopy, were the first to observe autolytic vacuoles containing mitochondria in RTECs from a hemoglobinuria mouse model. These vacuoles demonstrated the capacity for phagocytosis. Commonly used animal models for RF include toxins or drug-induced, gene knockout, and surgical models, such as unilateral ureteral obstruction (UUO). The UUO model is most frequently employed for RF studies (<xref ref-type="bibr" rid="B55">Nogueira et al., 2017</xref>).</p>
<p>Numerous early studies using the UUO model have shown that autophagy promotes cell apoptosis (<xref ref-type="bibr" rid="B44">Li et al., 2010</xref>; <xref ref-type="bibr" rid="B33">Koesters et al., 2010</xref>; <xref ref-type="bibr" rid="B17">Forbes et al., 2011</xref>; <xref ref-type="bibr" rid="B82">Xu et al., 2013</xref>). Moreover, genetic knockout of Atg7 or Atg5 in UUO rat models inhibited autophagy, suppressing cell death, potentially interstitial inflammation and pro-fibrotic factor expression, and modulating the immune response (<xref ref-type="bibr" rid="B50">Livingston et al., 2016</xref>). Upregulation of beclin-1, an autophagy-related factor, is implicated in lipid droplet accumulation, renal lipotoxicity, and renal interstitial fibrosis (RIF) in the UUO model (<xref ref-type="bibr" rid="B83">Yan et al., 2018</xref>). Autophagy activation in the UUO model is regulated by multiple pathways, including the upregulation of C/EBP homologous protein (CHOP) (<xref ref-type="bibr" rid="B56">Noh et al., 2018</xref>), hypoxia-inducible factor 1-alpha (HIF-1&#x3b1;)/Bcl-2/adenovirus E1B 19-kDa interacting protein 3 (BNIP3) (<xref ref-type="bibr" rid="B47">Liu et al., 2024</xref>), AMPK/mTOR (<xref ref-type="bibr" rid="B48">Liu et al., 2020</xref>), p38/ERK MAPKs (<xref ref-type="bibr" rid="B48">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B42">Li K. et al., 2024</xref>), TGF-&#x3b2;1/Smad (<xref ref-type="bibr" rid="B72">Tian et al., 2020</xref>; <xref ref-type="bibr" rid="B42">Li K. et al., 2024</xref>), and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-&#x3ba;B) (<xref ref-type="bibr" rid="B72">Tian et al., 2020</xref>), all of which contribute to RTEC autophagy and RF progression.</p>
<p>In an adenine-induced renal injury model, one study showed that rhein suppressed RTEC autophagy by targeting the AMPK/mTOR and p38/ERK MAPK pathways, resulting in RIF (<xref ref-type="bibr" rid="B74">Tu et al., 2017</xref>). Furthermore, another study demonstrated that ASIV inhibited RTEC autophagy by increasing aldehyde dehydrogenase 2 (ALDH2) expression, thereby suppressing EMT and G2/M arrest-related protein expressions and significantly reducing RF (<xref ref-type="bibr" rid="B40">Li et al., 2023</xref>).</p>
<p>In diabetic models, upregulation of Lys63-ubiquitination (<xref ref-type="bibr" rid="B60">Pontrelli et al., 2018</xref>) and ROS/ERK signaling (<xref ref-type="bibr" rid="B13">Deng et al., 2021</xref>) promotes autophagy initiation and fibrosis. Furthermore, in streptozotocin (STZ)-induced diabetic rats, H2S improved renal tissue function by modulating oxidative stress signaling, increasing superoxide dismutase (SOD) expression, and decreasing TGF-&#x3b2;1, matrix metalloproteinase (MMP)/tissue inhibitors of metalloproteinase (TIMP), NF-&#x3ba;B, and AKT signaling, thereby inhibiting aberrant RTEC autophagy (<xref ref-type="bibr" rid="B43">Li et al., 2017</xref>). In a palmitic acid (PA)-induced model of insulin-resistant diabetic nephropathy (DN), prostaglandin E1 (PGE1) ameliorated AKI by upregulating autophagy-mediated fibroblast growth factor 21 (FGF21), inhibiting excessive autophagy, and attenuating insulin resistance (<xref ref-type="bibr" rid="B80">Wei et al., 2018</xref>). Moreover, acteoside (ACT) increased transcription factor EB (TFEB) protein expression, significantly inhibited autophagy, reduced oxidative stress, and mitigated RF in DN models (<xref ref-type="bibr" rid="B87">Zhou et al., 2024</xref>).</p>
<p>In hyperuricemic nephropathy (HN), 3-methyladenine (3-MA) attenuates inflammation and NF-&#x3ba;B/signal transducer and activator of transcription 3 (STAT3) signaling, inhibits autophagy, downregulates the Snail and Slug transcription factors, and subsequently reduces Drp1, F-actin, and cofilin protein levels. This inhibition of mitochondrial fission reduces tubular cell G2/M cell cycle arrest, inflammation, and apoptosis and mitigates EMT and ECM accumulation. These findings reveal a vicious cycle, in which sustained uric acid injury induces mitochondrial fission and autophagy in RTECs, leading to cell damage and, ultimately, initiating necrosis or apoptosis (<xref ref-type="bibr" rid="B27">Hu et al., 2022</xref>; <xref ref-type="bibr" rid="B67">Shi et al., 2020</xref>).</p>
<p>Studies using the ischemia&#x2013;reperfusion (I/R) model have shown that aberrant autophagy activation contributes to cell senescence, endoplasmic reticulum stress, inflammation, renal tubular cell death, and G2/M cell cycle arrest (<xref ref-type="bibr" rid="B2">Baisantry et al., 2016</xref>; <xref ref-type="bibr" rid="B69">Shu et al., 2018</xref>; <xref ref-type="bibr" rid="B7">Canaud et al., 2019</xref>). CG1 activation leads to the formation of rapamycin (TOR)&#x2013;autophagy spatial coupling chambers (TASCCs), which induce pro-fibrotic factor release, promoting progression from AKI to CKD (<xref ref-type="bibr" rid="B7">Canaud et al., 2019</xref>). FXR agonists reduced autophagy and apoptosis in FXR-deficient mice subjected to I/R, mitigating early kidney injury and preventing AKI&#x2013;CKD progression (<xref ref-type="bibr" rid="B31">Kim et al., 2021</xref>). Additionally, a study revealed that autophagy activation in the I/R model promotes the accumulation of SQSTM1/p62 and phosphorylation and activation of MAPK/ERK, initiating the downstream signal EGR1. Furthermore, in the I/R model, autophagy activation promotes SQSTM1/p62 accumulation, MAPK/ERK phosphorylation and activation, and subsequent EGR1 signaling, leading to FGF2 production and secretion, renal fibroblast activation, and, ultimately, RF. Atg7 gene knockout reversed these effects (<xref ref-type="bibr" rid="B52">Livingston et al., 2024</xref>).</p>
<p>Cystinosis, an inherited disorder caused by cystinosin (CTNS) gene mutations, frequently affects the kidneys, leading to Fanconi syndrome and RF. Studies have detected increased autophagy in the urine of cystinosis patients and in RTECs of CTNS knockout mice, suggesting a role for autophagy in promoting apoptosis (<xref ref-type="bibr" rid="B66">Sansanwal et al., 2010</xref>; <xref ref-type="bibr" rid="B34">Krohn et al., 2022</xref>). Another study showed that clusterin expression in cystinosis kidneys is associated with the co-expression of autophagy-related proteins (p62 and LC3) and apoptosis-related proteins (apoptosis-inducing factor and cleaved caspase-3). Silencing clusterin improved mitophagy in RTECs, reduced apoptosis, and mitigated renal cell damage and fibrosis (<xref ref-type="bibr" rid="B65">Sansanwal et al., 2015</xref>).</p>
<p>Collectively, substantial evidence indicates that aberrant activation of RTEC autophagy plays a significant role in RF pathogenesis. This aberrant autophagy contributes to oxidative stress, inflammation, pro-fibrotic factor secretion, cellular senescence, apoptosis, cell cycle arrest, lipid droplet accumulation, and other changes that damage RTECs and promote fibrosis (<xref ref-type="fig" rid="F5">Figure 5</xref>; <xref ref-type="table" rid="T4">Table 4</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Role of RTEC autophagy in RF. Agents shown in black font exacerbate renal injury by promoting podocyte autophagy, whereas agents shown in blue font protect the renal tissue by inhibiting autophagy and its associated regulators. Black arrows indicate promotion, and red &#x201c;T&#x201d;-shaped bars indicate inhibition. These studies demonstrate the deleterious effects of RTEC autophagy activation on the kidney. 3-MA, 3-methyladenine; CQ, chloroquine; siRNAs, small interfering RNAs; ERK, extracellular signal regulated kinase; mTOR, mammalian target of rapamycin; 4-PBA, 4-phenylbutyric acid; CHOP, C/EBP homologous protein; FGF2, fibroblast growth factor 2; TUDCA, tauroursodeoxycholic acid; EGR1, early growth response 1; TASCCs, TOR&#x2013;autophagy spatial coupling compartments; TFEB, transcription factor EB; FXR, farnesoid X receptor; ROS, reactive oxygen species; ASIV, astragaloside IV; MAPK, mitogen-activated protein kinase; HIF-1, hypoxia-inducible factors 1; ACT, acteoside; HPRA, herb pair of rhubarb&#x2013;Astragalus; G-Rb1, ginsenoside Rb1; OI, 4-octyl itaconate.</p>
</caption>
<graphic xlink:href="fcell-12-1499457-g005.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Factors influencing RTEC autophagy changes in RF.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Model</th>
<th align="left">Autophagy-targeted cell</th>
<th align="left">Agent</th>
<th align="left">Effect on autophagy</th>
<th align="left">Mechanism and effect</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Chop<sup>&#x2b;/&#x2b;&#x2212;/&#x2212;</sup>
</td>
<td rowspan="2" align="left">RTECs</td>
<td rowspan="2" align="left">Chop-deficient</td>
<td rowspan="2" align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; Beclin 1, LC3-II, Fis1, Bax, Bcl-2, and c-caspase 3; &#x2191; &#x3b1;-TAT1</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B56">Noh et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">UUO mice</td>
<td align="left">&#x2193; Apoptosis and mitochondrial dysfunction and renal fibrosis</td>
</tr>
<tr>
<td align="left">UUO mice</td>
<td rowspan="2" align="left">RTECs</td>
<td rowspan="2" align="left">HIF-1&#x3b1;- knockout</td>
<td rowspan="2" align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; BNIP3</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B47">Liu et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">Hypoxia-induced MPTC</td>
<td align="left">&#x2193; RTEC injury and renal fibrosis</td>
</tr>
<tr>
<td align="left">UUO mice</td>
<td rowspan="2" align="left">RTECs</td>
<td rowspan="2" align="left">G-Rb1</td>
<td rowspan="2" align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; AMPK/mTOR and ERK/p38-MAPKs</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B48">Liu et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">HBSS-induced HK-2</td>
<td align="left">&#x2193; RTEC injury and renal fibrosis</td>
</tr>
<tr>
<td align="left">UUO SD-rats</td>
<td rowspan="2" align="left">RTECs</td>
<td rowspan="2" align="left">HPRA</td>
<td rowspan="2" align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; p38-MAPK/TGF-&#x3b2;1 and p38-MAPK/smad2/3 pathways</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B42">Li K. et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">TGF-&#x3b2;1-induced HK-2</td>
<td align="left">&#x2191; Protect renal function and &#x2193; the progression of RIF</td>
</tr>
<tr>
<td align="left">UUO and adenine- rats;&#xa0;TGF-&#x3b2;1-induced HK-2</td>
<td align="left">RTECs</td>
<td align="left">OI</td>
<td align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; TGF-&#x3b2;/Smad and NF-&#x3ba;B pathways<break/>&#x2193; Reactive oxygen species, inflammatory, and renal fibrosis</td>
<td align="left">
<xref ref-type="bibr" rid="B72">Tian et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Adenine-induced rats</td>
<td rowspan="2" align="left">RTECs</td>
<td rowspan="2" align="left">ASIV</td>
<td rowspan="2" align="left">&#x2193; Autophagy</td>
<td align="left">&#x2191; ALDH2, &#x2193; AKT/mTOR pathways</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B40">Li et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">TGF-&#x3b2;1-induced HK-2</td>
<td align="left">&#x2193; EMT and renal fibrosis</td>
</tr>
<tr>
<td align="left">DN patients</td>
<td rowspan="2" align="left">RTECs</td>
<td rowspan="2" align="left">Lys63-ub</td>
<td rowspan="2" align="left">&#x2191; Autophagy</td>
<td align="left">&#x2191; Beclin-1, LC3, p62, and caspase-3</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B60">Pontrelli et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">HG-induced HK-2</td>
<td align="left">&#x2191; Tubular damage and the progression of DN</td>
</tr>
<tr>
<td align="left">STZ-induced, unilateral nephrectomy rats<break/>DN model HK-2</td>
<td align="left">RTECs</td>
<td align="left">ACT</td>
<td align="left">&#x2193; Autophagy</td>
<td align="left">&#x2191; TFEB; &#x2193; ROS, and MDA<break/>&#x2193; LC3-II/LC3-I and P62<break/>&#x2193; RTEC injury and renal interstitial fibrosis in DN</td>
<td align="left">
<xref ref-type="bibr" rid="B87">Zhou et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">HN SD rats</td>
<td align="left">RTECs</td>
<td align="left">3-MA</td>
<td align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; ROS and PI3K/AKT/mTOR<break/>&#x2193; NF-&#x3ba;&#x3b2;/STAT3 and EMT (snail and slug)<break/>&#x2193; Inflammation and renal fibrosis</td>
<td align="left">
<xref ref-type="bibr" rid="B27">Hu et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">IR injury mice<break/>TGF-&#x3b2;1-induced BUMPT</td>
<td align="left">RTECs</td>
<td align="left">Atg7 knockout</td>
<td align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; SQSTM1/p62-MAPK/ERK-EGR1-FGF2<break/>&#x2193; EMT, cell apoptosis, and myofibroblast activation<break/>&#x2193; Inflammation and renal fibrosis</td>
<td align="left">
<xref ref-type="bibr" rid="B52">Livingston et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">Cystinosis patients<break/>CDME-induced RTECs</td>
<td align="left">RTECs</td>
<td align="left">Ctns &#x2212;/&#x2212;Clusterin</td>
<td align="left">&#x2191; Autophagy</td>
<td align="left">&#x2191; LC3, LAMP2,&#xa0;and ROS, &#x2193; ATP generation<break/>&#x2191; Accumulation of cystine in the lysosomes, RPTE injury, renal fibrosis, and Fanconi syndrome</td>
<td align="left">
<xref ref-type="bibr" rid="B66">Sansanwal et al. (2010),</xref> <xref ref-type="bibr" rid="B34">Krohn et al. (2022),</xref> <xref ref-type="bibr" rid="B65">Sansanwal et al. (2015)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-5">
<title>2.5 Fibroblast autophagy and RF</title>
<p>Renal fibroblasts (FBs), also termed stromal cells (SCs), are key components of the renal interstitium. They contribute to maintaining the renal tissue architecture and homeostasis. Under pathological conditions, these cells become activated, differentiating into myofibroblasts, which are the primary source of renal interstitial collagen deposition (<xref ref-type="bibr" rid="B16">Eddy, 2014</xref>). One study demonstrates that intracellular IL-1&#x3b2; in SCs promotes renal fibrosis. IL-1&#x3b2; stimulation induces autophagy, as evidenced by increased LC3-II/I and decreased SQSTM1/p62, resulting in reduced mitochondrial mass and increased MYC protein levels. This triggers MYC-dependent glycolytic proliferation, contributing to fibrosis (<xref ref-type="bibr" rid="B37">Lemos et al., 2018</xref>). <xref ref-type="bibr" rid="B81">Xue et al. (2018)</xref> reported that protein kinase C promotes fibroblast proliferation and RF by enhancing fibroblast autophagy and mTORC2/Akt signaling. Furthermore, a study observed autophagy activation in the HN mouse model and <italic>in vitro</italic> uric acid-induced FBs, which was associated with the upregulation of Notch, Wnt, NF-&#x3ba;B, EGFR/ERK1/2, TGF-&#x3b2;1/Smad3, and TAK1 signaling pathways, contributing to tubular damage, inflammation, G2/M cell cycle arrest, and ECM production. 3-MA, an autophagy inhibitor, significantly suppresses these pathways, reducing these cellular responses above, thereby inhibiting HN development (<xref ref-type="bibr" rid="B3">Bao et al., 2018</xref>). Polo-like kinase 1 (Plk1) is a key regulator of the G2/M cell cycle. <xref ref-type="bibr" rid="B15">Du et al. (2023)</xref> found that Plk1 was activated in fibroblasts of the proximal tubules and tubulointerstitium in CKD patients and UUO mice. This activation enhanced autophagy and regulated ATP6V1A phosphorylation, maintaining lysosomal pH. This contributed to fibroblast activation and partial epithelial-to-mesenchymal transition (EMT) in tubular cells, thereby promoting disease progression (<xref ref-type="fig" rid="F6">Figure 6</xref>; <xref ref-type="table" rid="T5">Table 5</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Role of FB autophagy in RF. Agents shown in black font exacerbate renal injury by promoting podocyte autophagy, whereas agents shown in blue font protect renal tissue by inhibiting autophagy and its associated regulators. Black arrows indicate promotion, and red &#x201c;T&#x201d;-shaped bars indicate inhibition. These studies demonstrate the deleterious effects of FB autophagy activation on the kidney. IL-1&#x3b2;, interleukin-1&#x3b2;; IRAK4, IL-1 receptor-associated kinase 4; 10058-F4, the MYC/MAX inhibitor; BIIB-IRAK4i, the IRAK4 small-molecule inhibitor; Mito, mitochondria; SCs, kidney stromal cells; KFB, kidney fibroblast; PKC&#x3b1;, protein kinase C&#x3b1;; mTORC2, mTOR complex 2; Plk1, polo-like kinase 1; pEMT, partial epithelial&#x2013;mesenchymal transition; ECM, extracellular matrix; TECs, tubular epithelial cells; BI6727, Plk1 inhibitor; CQ, chloroquine diphosphate; siRNAs, small interfering RNAs; p-ATP6V1A, ATP6V1A phosphorylation.</p>
</caption>
<graphic xlink:href="fcell-12-1499457-g006.tif"/>
</fig>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Factors influencing FB autophagy changes in RF.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Model</th>
<th align="left">Autophagy-targeted cell</th>
<th align="left">Drug/agent</th>
<th align="left">Effect on autophagy</th>
<th align="left">Mechanism and effect</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">UUO mice</td>
<td rowspan="2" align="left" style="color:#212529">Fibroblasts</td>
<td rowspan="2" align="left">IL-1&#x3b2;</td>
<td rowspan="2" align="left">&#x2191; Autophagy</td>
<td align="left">&#x2191; LC3&#x2161;/&#x2160; and &#x2193; SQSTM1/p62, to &#x2191; MYC</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B37">Lemos et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">IRI mice</td>
<td align="left">&#x2191; Glycolytic proliferation program and renal fibrosis</td>
</tr>
<tr>
<td align="left">UUO mice</td>
<td rowspan="2" align="left" style="color:#212529">Fibroblasts</td>
<td rowspan="2" align="left">PKC&#x3b1; siRNA</td>
<td rowspan="2" align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; mTORC2/PKC&#x3b1;, mTORC2/Akt</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B81">Xue et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">TGF-&#x3b2;1-induced NRK-49F</td>
<td align="left">&#x2193; Fibroblast activation and renal fibrosis</td>
</tr>
<tr>
<td align="left">HN rats</td>
<td rowspan="2" align="left" style="color:#212529">Fibroblasts</td>
<td rowspan="2" align="left">3-MA</td>
<td rowspan="2" align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; Notch, Wnt, NF-&#x3ba;B, EGFR/ERK1/2, TGF-&#x3b2;1/Smad3, and TAK1</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B3">Bao et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">UA-induced NRK-49F</td>
<td align="left">&#x2193; Fibroblast activation and development of HN</td>
</tr>
<tr>
<td align="left">CKD patients<break/>UUO mice<break/>TGF-&#x3b2;1-induced NRK-49F</td>
<td align="left" style="color:#212529">Fibroblasts</td>
<td align="left">Plk1 siRNA</td>
<td align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; Plk1/p-ATP6V1A and pEMT<break/>&#x2193; Fibroblast activation and renal fibrosis<break/>
</td>
<td align="left">
<xref ref-type="bibr" rid="B15">Du et al. (2023)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-6">
<title>2.6 Immune cell autophagy and RF</title>
<p>Literature review indicates that autophagy is involved in both renal parenchymal cell injury and the modulation of immune responses in kidney diseases (<xref ref-type="bibr" rid="B38">Leventhal et al., 2014</xref>). Enhanced autophagy in B cells from mice and humans with lupus induces cellular stress. This suggests that autophagy is crucial for the survival and differentiation of autoreactive B cells, especially during early development and plasmablast formation. Therefore, targeting autophagy may represent a novel therapeutic strategy for SLE (<xref ref-type="bibr" rid="B10">Clarke et al., 2015</xref>). <xref ref-type="bibr" rid="B79">Weindel et al. (2015)</xref> demonstrated that autophagosomes in B cells contribute to SLE pathogenesis by enhancing the delivery of self-antigens, including endogenous retroviral elements and cytoplasmic RNA from internalized immune complexes, to TLR7 within endosomes. In Tlr7.1Tg Atg5 knockout mice, blocking B-cell autophagy restored the marginal zone (MZ), reduced inflammatory cytokine levels, and reduced renal injury and fibrosis. <xref ref-type="bibr" rid="B89">Zhu et al. (2024)</xref> demonstrated the critical role of macrophage autophagy in renal macrophage migration and fibrosis. Using myeloid cell-specific Atg5 knockout mice, they showed that blocking autophagy disrupted the CCL20&#x2013;CCR6 axis, inhibiting macrophage migration and M2 polarization, and thus improving RF in renal I/R and UUO models. Collectively, these findings indicate that immune cell autophagy contributes to enhanced inflammatory responses and fibrosis through increased cellular stress, proliferation, and migration (<xref ref-type="fig" rid="F7">Figure 7</xref>; <xref ref-type="table" rid="T6">Table 6</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Role of immune cell autophagy in RF. Agents shown in black font exacerbate renal injury by promoting podocyte autophagy, whereas agents shown in blue font protect the renal tissue by inhibiting autophagy and its associated regulators. Black arrows indicate promotion, and red &#x201c;T&#x201d;-shaped bars indicate inhibition. These studies demonstrate the deleterious effects of immune cell autophagy activation on the kidney. ANA, antinuclear antibodies; Toll-like receptor (TLR) 7; MZ, marginal zone; I/R, ischemia/reperfusion; CCL20, chemokine (C&#x2013;C motif) ligand 20; Atg, autophagy-related; PI3K, phosphoinositide-3-kinase regulatory subunit 1; UUO, unilateral ureteral obstruction; ERK, extracellular signal-regulated protein kinase, AKT, thymoma viral proto-oncogene 1; LN, lupus nephropathy.</p>
</caption>
<graphic xlink:href="fcell-12-1499457-g007.tif"/>
</fig>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Factors influencing immune cell autophagy changes in RF.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Model</th>
<th align="left">Autophagy-targeted cell</th>
<th align="left">Drug/agent</th>
<th align="left">Effect on autophagy</th>
<th align="left">Mechanism and effect</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">LN patients</td>
<td rowspan="2" align="left" style="color:#212529">B cells</td>
<td rowspan="2" align="left">Atg7 deletion</td>
<td rowspan="2" align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; CD19<sup>&#x2b;</sup> B and CD4<sup>&#x2b;</sup> T cells, &#x2193; Bcl-2</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B10">Clarke et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">NZB/W mice</td>
<td align="left">&#x2193; Apoptosis, autoimmunity, and glomerulonephritis</td>
</tr>
<tr>
<td rowspan="2" align="left">Tlr7.1&#xa0;Tg and Tlr7.1&#xa0;Tg Atg5 KO mice</td>
<td rowspan="2" align="left" style="color:#212529">B cells</td>
<td rowspan="2" align="left">Atg5 deletion</td>
<td rowspan="2" align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; TLR7</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B79">Weindel et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2193; Autoimmunity, inflammation, anemia, and glomerulonephritis</td>
</tr>
<tr>
<td align="left">I/R mice</td>
<td rowspan="2" align="left">Macrophage</td>
<td rowspan="2" align="left">Atg5 deletion</td>
<td rowspan="2" align="left">&#x2193; Autophagy</td>
<td align="left">&#x2193; PI3K, AKT, ERK1/2, and CCL20-CCR6</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B89">Zhu et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">UUO mice</td>
<td align="left">&#x2193; Macrophage migration, inflammation, and fibrosis</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s3">
<title>3 The potential value of autophagy in RF</title>
<sec id="s3-1">
<title>3.1 Update and application of the detection methods of autophagy in renal diseases</title>
<p>Early-stage renal disease often lacks overt clinical symptoms, and traditional biomarkers such as serum creatinine (Cr), blood urea nitrogen (BUN), and glomerular filtration rate (GFR) have limited sensitivity, delaying diagnosis and optimal treatment (<xref ref-type="bibr" rid="B24">Ho et al., 2013</xref>). Early detection of key biomarkers facilitates timely intervention and improved patient outcomes. Recent advances in understanding autophagy in RF have significantly improved the detection methods and diagnostic capabilities. Established autophagy detection methods, including transmission electron microscopy, fluorescence microscopy, Western blotting, and quantitative PCR, are now being integrated with &#x201c;omics&#x201d; technologies (metabolomics, proteomics, and transcriptomics) and bioinformatics to provide a more comprehensive understanding of autophagy and its regulation in RF. For example, <xref ref-type="bibr" rid="B62">Rinschen et al. (2022)</xref> integrated phosphoproteomics, proteomics, metabolomics, and super-resolution imaging to analyze PTC-induced VPS34 deficiency in mice. Their findings demonstrated that PI3K/VPS34 regulated autophagy and enzymatic function in renal proximal tubule cells (PTCs). <xref ref-type="bibr" rid="B86">Zhao et al. (2023)</xref> performed transcriptomic and proteomic analyses of glomeruli from 25 controls and 50 DN patients. Pathway enrichment analysis revealed APA gene enrichment in inflammation-related processes, including ERS, NF-&#x3ba;B signaling, and autophagy, suggesting a role for APA in DN progression. Huang et al. revealed that proteomic analysis of human renal tissue downregulated VPS37 and ATG4B and upregulated NBR1 expression, which are associated with autophagy inhibition, suggesting that these proteins may serve as sensitive serum biomarkers for early DN detection and that autophagy inhibition may be a therapeutic target (<xref ref-type="bibr" rid="B26">Huang et al., 2022</xref>). In conclusion, autophagy and its regulatory factors show promise as early diagnostic biomarkers for kidney disease, and improved detection methods may enhance early diagnosis and the detection of RF progression.</p>
</sec>
<sec id="s3-2">
<title>3.2 Regulation of autophagy as a serviceable therapeutic strategy for CKD</title>
<p>Progression of CKD to ESKD is often accompanied by severe RF, necessitating dialysis or transplantation, which carries substantial economic and physical burdens for patients (<xref ref-type="bibr" rid="B73">Turner et al., 2012</xref>). RF is a critical pathological hallmark of CKD, yet targeted therapies remain largely in the preclinical stage (<xref ref-type="bibr" rid="B64">Ruiz-Ortega et al., 2022</xref>). While glucocorticoids are commonly used to treat CKD, their efficacy is limited, and they can cause numerous adverse effects, including hypertension, infections, and metabolic disorders (<xref ref-type="bibr" rid="B59">Ponticelli and Locatelli, 2018</xref>). Identifying novel therapeutic targets and early intervention strategies is crucial to prevent irreversible RF. <xref ref-type="bibr" rid="B66">Sansanwal et al. (2010)</xref> identified autophagy as a potential therapeutic target for nephrotic kidney injury, observing autophagy abnormalities in FBs and RTECs from cystinosis patients.</p>
<p>Renal biopsies from patients with AKI exhibit increased RTEC autophagy and elevated FGF2 expression, suggesting a link between autophagy and RF (<xref ref-type="bibr" rid="B51">Livingston et al., 2023</xref>). Therefore, inhibiting autophagy is a potential strategy for mitigating kidney disease progression. Preclinical studies have investigated autophagy inhibitors (e.g., 3-MA (<xref ref-type="bibr" rid="B50">Livingston et al., 2016</xref>; <xref ref-type="bibr" rid="B67">Shi et al., 2020</xref>) and chloroquine (<xref ref-type="bibr" rid="B50">Livingston et al., 2016</xref>; <xref ref-type="bibr" rid="B13">Deng et al., 2021</xref>)) or autophagy gene silencing (e.g., atg7 (<xref ref-type="bibr" rid="B50">Livingston et al., 2016</xref>; <xref ref-type="bibr" rid="B52">Livingston et al., 2024</xref>; <xref ref-type="bibr" rid="B51">Livingston et al., 2023</xref>) and atg5 (<xref ref-type="bibr" rid="B2">Baisantry et al., 2016</xref>)) to suppress autophagy activation, potentially improving renal function and mitigating fibrosis. Research into the molecular mechanisms regulating autophagy has yielded promising results. Deletion of VPS34 induces autophagy activation, potentially mitigating glomerulosclerosis (<xref ref-type="bibr" rid="B8">Chen et al., 2013</xref>). <xref ref-type="bibr" rid="B25">Hu et al. (2017)</xref> designed SA-PEG-DXM/DXM micelles to inhibit LPS-induced autophagy in endothelial cells, potentially improving AKI. Silencing clusterin reduces autophagy and may represent a therapeutic target for cystinosis nephropathy (<xref ref-type="bibr" rid="B65">Sansanwal et al., 2015</xref>). <xref ref-type="bibr" rid="B7">Canaud et al. (2019)</xref> identified TASCC accumulation as a key factor contributing to RF in an IRI mouse model. Plk1 promotes autophagy in fibroblasts, suggesting it as a potential therapeutic target (<xref ref-type="bibr" rid="B15">Du et al., 2023</xref>). VEGF-C promotes CD137L secretion, initiating autophagy in lymphatic endothelial cells and contributing to RIF (<xref ref-type="bibr" rid="B78">Wei et al., 2022</xref>). These findings highlight the potential of these molecular pathways as therapeutic targets for RF by modulating autophagy.</p>
<p>Traditional Chinese medicine (TCM) and other natural plant compounds offer advantages such as favorable safety profiles, widespread availability, and affordability. These natural compounds show promise in CKD treatment research and represent a valuable resource for developing novel therapeutics. For example, MFSD, a traditional Chinese medicine formula, contains aconitum, poplar, ginger, Ephedra, licorice, and Atractylodes. These ingredients have a long history of use in treating kidney disease. Studies suggest that MFSD reduces autophagy by downregulating Wnt/&#x3b2;-catenin signaling, potentially mitigating podocyte damage in MN and delaying disease progression (<xref ref-type="bibr" rid="B20">Gao et al., 2022</xref>). Furthermore, numerous agents have been shown to improve renal function and reduce RF by reducing autophagy in various models, including G-Rb1 (<xref ref-type="bibr" rid="B48">Liu et al., 2020</xref>), OI (<xref ref-type="bibr" rid="B72">Tian et al., 2020</xref>), and HPRA (<xref ref-type="bibr" rid="B41">Li J. et al., 2024</xref>) in the UUO model; rhein (<xref ref-type="bibr" rid="B74">Tu et al., 2017</xref>) and ASIV (<xref ref-type="bibr" rid="B40">Li et al., 2023</xref>) in the adenine-induced renal injury model; chrysin (<xref ref-type="bibr" rid="B36">Lee et al., 2019</xref>), ACT (<xref ref-type="bibr" rid="B87">Zhou et al., 2024</xref>), H2S (<xref ref-type="bibr" rid="B43">Li et al., 2017</xref>), and PGE1 (<xref ref-type="bibr" rid="B80">Wei et al., 2018</xref>) in the DN model; FXR (<xref ref-type="bibr" rid="B31">Kim et al., 2021</xref>) in the I/R model; and ulinastatin (<xref ref-type="bibr" rid="B45">Li et al., 2022</xref>) in sepsis models. These findings suggest that modulating autophagy represents a promising therapeutic strategy for kidney diseases.</p>
</sec>
</sec>
<sec id="s4">
<title>4 Limitations of autophagy and the problems it faces</title>
<p>Despite preclinical and clinical evidence implicating autophagy in maladaptive renal repair, translating autophagy-modulating therapies for RF faces several challenges. First, this review shows that prolonged autophagy activation in renal cells impairs tissue repair. This underscores the need for precise control over autophagy duration, activation level, and treatment timing when designing therapeutic interventions. Second, the role of autophagy in RF is complex. While basal autophagy&#x2019;s protective effects on cellular homeostasis and fibrosis mitigation are well-established (<xref ref-type="bibr" rid="B4">Barutta et al., 2023</xref>; <xref ref-type="bibr" rid="B22">Guo et al., 2024</xref>; <xref ref-type="bibr" rid="B54">Njeim et al., 2024</xref>; <xref ref-type="bibr" rid="B12">Dai et al., 2022</xref>; <xref ref-type="bibr" rid="B9">Choi, 2020</xref>), evidence regarding the detrimental effects of sustained autophagy remains limited. Autophagy modulation outcomes are influenced by disease etiology, disease stage, and cell-type-specific molecular mechanisms. The precise role of autophagy in kidney function remains unclear. Third, while pharmacologic autophagy modulation holds therapeutic promise, currently no specific autophagy-targeting drugs exist. For example, 3-MA (<xref ref-type="bibr" rid="B50">Livingston et al., 2016</xref>; <xref ref-type="bibr" rid="B67">Shi et al., 2020</xref>) and chloroquine (<xref ref-type="bibr" rid="B50">Livingston et al., 2016</xref>; <xref ref-type="bibr" rid="B13">Deng et al., 2021</xref>) inhibit autophagy but also affect other signaling pathways, limiting their clinical utility due to potential side effects. The therapeutic potential of TCM and natural plant compounds in modulating autophagy for kidney disease remains largely unexplored. Future research should comprehensively investigate the dynamic regulation of autophagy across diverse CKD etiologies to validate and refine these findings. Understanding autophagy&#x2019;s molecular mechanisms in RF is crucial for elucidating maladaptive kidney repair and developing novel strategies to prevent CKD progression.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>CKD presents a significant global health challenge, hampered by subtle early symptoms, limited sensitivity of early detection methods, and a lack of specific therapies (<xref ref-type="bibr" rid="B24">Ho et al., 2013</xref>; <xref ref-type="bibr" rid="B73">Turner et al., 2012</xref>; <xref ref-type="bibr" rid="B14">Drawz and Rahman, 2015</xref>). This highlights the urgent need for improved early detection, diagnosis, and treatment strategies. While the role of autophagy in renal fibrosis remains a subject of ongoing investigation, with some studies suggesting a protective role, this review focuses on the substantial evidence supporting a pro-fibrotic mechanism driven by sustained, abnormal autophagy activation within intrinsic renal cells (glomeruli, tubules, and interstitium). A significant body of research currently centers on the association between RTEC autophagy and RF, highlighting the crucial role of the RTEC response in RF pathogenesis. Autophagy upregulation contributes to RF by promoting oxidative stress, inflammation, pro-fibrotic factor secretion, cellular senescence, apoptosis, cell cycle arrest, and lipid accumulation, ultimately leading to renal cell damage, EMT, ECM deposition, myofibroblast activation, and fibrosis progression. Furthermore, autophagy-related factors show promise as early biomarkers for kidney disease, potentially enhancing early CKD diagnosis, although further research is required. Additionally, autophagy and its regulatory factors represent promising therapeutic targets for RF, offering potential avenues for novel drug development to treat CKD. However, research into autophagy-specific targets remains limited, and dedicated autophagy-modulating therapies are yet to be developed. This review contributes to a comprehensive understanding of the pro-fibrotic mechanisms of autophagy in renal fibrosis and aims to inform the development of effective strategies for CKD prevention and treatment.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>Y-YZ: conceptualization, visualization, and writing&#x2013;original draft. X-TZ: conceptualization, methodology, and writing&#x2013;review and editing. G-ZH: conceptualization, methodology, and writing&#x2013;review and editing. W-JL: writing&#x2013;review and editing. XC: resources, validation, visualization, and writing&#x2013;review and editing. Y-RM: funding acquisition, resources, validation, visualization, and writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The study was sustained by National Natural Science Foundation of China (81973732) and the Young Scientists Fund of the National Natural Science Foundation of China (82305218).</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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