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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2021.661185</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Current Challenges and Future Perspectives of Renal Tubular Dysfunction in Diabetic Kidney Disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Duan</surname>
<given-names>Suyan</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1065044"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lu</surname>
<given-names>Fang</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1356941"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Dandan</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1253935"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Chengning</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1068495"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Bo</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1064864"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xing</surname>
<given-names>Changying</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1065066"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yuan</surname>
<given-names>Yanggang</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/403099"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Department of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Martina Guthoff, T&#xfc;bingen University Hospital, Germany</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Sanjay Kalra, Independent Researcher, Karnal, India; Dilip Sharma, National Institute of Pharmaceutical Education and Research, Ahmedabad, India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yanggang Yuan, <email xlink:href="mailto:ygyuan@njmu.edu.cn">ygyuan@njmu.edu.cn</email>; Changying Xing, <email xlink:href="mailto:cyxing62@126.com">cyxing62@126.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Clinical Diabetes, a section of the journal Frontiers in Endocrinology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>661185</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>01</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>05</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Duan, Lu, Song, Zhang, Zhang, Xing and Yuan</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Duan, Lu, Song, Zhang, Zhang, Xing and Yuan</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>Over decades, substantial progress has been achieved in understanding the pathogenesis of proteinuria in diabetic kidney disease (DKD), biomarkers for DKD screening, diagnosis, and prognosis, as well as novel hypoglycemia agents in clinical trials, thereby rendering more attention focused on the role of renal tubules in DKD. Previous studies have demonstrated that morphological and functional changes in renal tubules are highly involved in the occurrence and development of DKD. Novel tubular biomarkers have shown some clinical importance. However, there are many challenges to transition into personalized diagnosis and guidance for individual therapy in clinical practice. Large-scale clinical trials suggested the clinical relevance of increased proximal reabsorption and hyperfiltration by sodium-glucose cotransporter-2 (SGLT2) to improve renal outcomes in patients with diabetes, further promoting the emergence of renal tubulocentric research. Therefore, this review summarized the recent progress in the pathophysiology associated with involved mechanisms of renal tubules, potential tubular biomarkers with clinical application, and renal tubular factors in DKD management. The mechanism of kidney protection and impressive results from clinical trials of SGLT2 inhibitors were summarized and discussed, offering a comprehensive update on therapeutic strategies targeting renal tubules.</p>
</abstract>
<kwd-group>
<kwd>renal tubular dysfunction</kwd>
<kwd>tubular biomarkers</kwd>
<kwd>sodium-glucose cotransporter-2</kwd>
<kwd>diabetic kidney disease</kwd>
<kwd>therapeutic strategies</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="176"/>
<page-count count="16"/>
<word-count count="7793"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Along with the disease spectrum that evolved around the world over the past 30 years, diabetic kidney disease (DKD) has become the leading cause of end-stage kidney disease (ESKD) at daunting rates in both developed and developing countries (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Due to the increased risk of morbidity and mortality of DKD, the number of DKD related studies rapidly increased over the past two decades, with more than 27,500 papers published from 2000 to 2017 (<xref ref-type="bibr" rid="B3">3</xref>). Growing evidence suggests the underlying pathogenesis of DKD involves the renal proximal tubular epithelial cell dysfunction in a high glucose environment, oxidative stress, inflammation, fibrosis, and apoptosis (<xref ref-type="bibr" rid="B4">4</xref>). In addition, a large number of tubular biomarkers for DKD screening, diagnosis, and prognosis are tightly associated with the prognosis of the kidney in DKD, providing evidence for potential shifting of the paradigm from glomerulocentric to tubulocentric theory (<xref ref-type="bibr" rid="B5">5</xref>). It has been repeatedly shown that compared with the glomerular lesions, the extent of tubulointerstitial lesions correlates well with renal function, and the associated biomarkers have been identified (<xref ref-type="bibr" rid="B6">6</xref>). Urinary tubular injury markers may increase in patients with diabetes even before the onset of microalbuminuria (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Plasma tubular markers, which may reflect inflammatory and fibrotic responses, oxidative stress, and capacity of reabsorption in DKD, were also reported to be associated with early renal function decline and DKD progression (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Moreover, the biomarkers of tubulointerstitial function and structural changes were ultimately proven to be better predictors of disease progression and long-term prognosis than the current markers (<xref ref-type="bibr" rid="B11">11</xref>). Current prognostic markers of DKD have certain limitations. Estimated glomerular filtration rate (eGFR) and albuminuria are only modestly useful for risk prediction in type 2 diabetes mellitus (T2DM) patients with preserved renal function, and DKD progresses even in the absence of albuminuria (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Most importantly, inhibition of proximal tubule glucose transport <italic>via</italic> sodium-glucose cotransporter-2 (SGLT-2) has shown nephroprotective effects in a variety of large-sample, multicenter, placebo-controlled, and randomized clinical trials. By investigating the mechanism of the newest disease-modifying treatments for DKD, an accumulating body of research had documented the vital role of tubule function in regulating glomerular filtration through tubuloglomerular feedback. Moreover, the growth of the proximal tubule in the diabetic context supplies muscular strength to the established status of renal tubules in DKD (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). The tubuloglomerular feedback mechanism begins with the theory that diabetic hyperfiltration and glomerular capillary hypertension are significant treatable stressors contributing to the progression of DKD (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). In diabetic conditions, the increased filtered load of glucose results in an increase in sodium-coupled glucose reabsorption by the proximal tubule. Decreased sodium delivery to the macula densa subsequently inhibits adenosine-triphosphate (ATP) conversion into adenosine, which results in the vasodilation of the afferent arteriole and the intrarenal activation of the renin&#x2013;angiotensin&#x2013;aldosterone system (RAAS), ultimately inducing glomerular hypertension and kidney hyperfiltration (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Hence, hyperreabsorption of water and solutes has a central role in the regulation of eGFR, highlighting the importance of alteration in the tubuloglomerular feedback for the development of DKD.</p>
<p>This review aimed to summarize the latest updates on the pathogenesis of renal tubular dysfunction in DKD, potential applications of tubular biomarkers, and renal tubule-targeting therapeutics based on evidence from recent trials in DKD.</p>
</sec>
<sec id="s2">
<title>New Insights Into the Pathophysiology of Renal Tubules in DKD</title>
<sec id="s2_1">
<title>Morphological Changes</title>
<p>Recently, there has been a growing consensus that tubular abnormalities, a consistent feature of DKD, are not the aftermath of glomerular damage. Tubular cells have the potential to be the primary targets for diverse pathophysiological influences (<xref ref-type="bibr" rid="B20">20</xref>). The shift has been suggested from the traditional paradigm of glomerulus-centered pathophysiology extended to the tubule-interstitium (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Morphological changes of tubulointerstitial lesions in DKD include thickening of the tubular basement membrane, tubular atrophy, interstitial inflammation, interstitial fibrosis, and vascular abnormalities (<xref ref-type="bibr" rid="B23">23</xref>). The association of tubulointerstitial lesions with DKD progression has been validated in several reports. A study in a Chinese population with an early stage of biopsy-proven DKD suggested that interstitial lesions and glomerular injuries were independently predictive of the time to ESKD (<xref ref-type="bibr" rid="B24">24</xref>). Another study from the United States population at relatively late stages of biopsy-proven DKD showed that interstitial fibrosis and tubular atrophy were of univariate significance for their ability to predict clinical prognosis (<xref ref-type="bibr" rid="B25">25</xref>). Moreover, the association of histological lesions with renal progression may differ in type 1 and type 2 DKD. In type 1 diabetes mellitus (T1DM), glomerular damage was observed through all stages. Nevertheless, minimal or no glomerular lesions but notable tubulointerstitial and/or arteriolar abnormalities were observed in type 2 DKD patients with microalbuminuria or overt proteinuria (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). Additionally, tubulointerstitial lesions were observed mainly in advanced disease and might contribute to the progression to ESKD in patients with T1DM (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). The pathological disparity in different types of DM may be attributed to various other diabetogenic stimuli other than high glucose, including insulin resistance and growth factors and cytokines, which activate inflammatory, apoptosis, ischemic, pro-oxidant, and fibrotic pathways. A growing number of studies have proven that genes associated with pathological features of DKD are regulated not only by classical signaling pathways but also by epigenetic mechanisms involving chromatin histone modifications, deoxyribonucleic acid (DNA) methylation, and non-coding ribonucleic acid (RNA) (<xref ref-type="bibr" rid="B30">30</xref>).</p>
</sec>
<sec id="s2_2">
<title>Functional Changes</title>
<p>Tubular functional changes in DKD mainly correspond to the modulation of high-glucose, oxygen metabolic disorder, inflammation, fibrosis, and apoptosis (<xref ref-type="bibr" rid="B31">31</xref>). <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> displays the primary mechanism of tubular damage in DKD. Hyperglycemia directly destroys renal tubular cells, resulting in a wide range of cellular and metabolic dysfunctions. Three interrelated and cardinal pathways, including overproduction of reactive oxygen species (ROS), initiation of autophagy, and activation of the apoptotic pathway, are triggered by high glucose and are associated with the progression of DKD (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Oxidative stress is a state of imbalance in the production of ROS and antioxidant activity in the body, resulting in the activation of downstream inflammation (<xref ref-type="bibr" rid="B34">34</xref>) and tubulointerstitial fibrosis-related genes such as transforming growth factor (TGF)-<italic>&#x3b2;</italic>1 and RAAS-related genes (<xref ref-type="bibr" rid="B35">35</xref>). Nitric oxide (NO) synthase, xanthine oxidase, nicotinamide adenine dinucleotide phosphate hydrogen (NADPH) oxidase enzymes, and the mitochondrial respiratory chain contribute to kidney ROS generation in a physiological context (<xref ref-type="bibr" rid="B36">36</xref>). The pro-oxidant nitrogen oxide (Nox) family members, especially Nox4 and Nox5 isoforms, have been reported to have an important role in the generation of renal ROS in diabetes. Thallas-Bonke V et&#xa0;al. indicated that targeted deletion of NADPH oxidase Nox4 from proximal tubules was dispensable for DKD development (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The main mechanism of tubular damage in DKD. Diabetogenic stimuli including high-glucose, oxygen metabolic disorder, inflammation, fibrosis, and apoptosis result in a wide range of injured pathway such as MAPK, PKC signaling. High-mobility group box 1 (HMGB1), s100/calgranulins and advanced glycation end products (AGEs) are danger-associated molecular patterns (DAMPs) that activate cell surface pattern recognition receptors (PRRs), induce signaling events to promote the development of inflammation in DKD. Another mechanism that also might contribute to tubular damage is the increased renal content of HIF1-<italic>&#x3b1;</italic>. Multiple effects on proximal tubule ultimately result in impaired reabsorption, inflammation and fibrosis, which contribute to tubule injury and therefore DKD.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-661185-g001.tif"/>
</fig>
<p>Recent studies stress that the oxygen metabolic disorder which leads to oxidative stress, advanced glycation, hypoxia, and other harmful effects, plays a vital role in renal tubules injury (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Production and utilization of ATP by the proximal tubular cells are balanced by kidney blood flow, oxygen, and metabolite reabsorption, delivery, and consumption. This balance is now believed to the principal mechanism for regulating tubuloglomerular feedback and maintaining kidney function in diabetes (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B33">33</xref>). A lately report found that hypoxia-inducible factor-1<italic>&#x3b1;</italic> (HIF-1<italic>&#x3b1;</italic>) activation in tubular cells played an important protective role against diabetic kidney injury by modulation of mitochondrial dynamics through heme oxygenase-1 (HO-1) upregulation, highlighting the potential mechanism and target in DKD (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>Tubular inflammation is a hallmark of the progression of kidney disease in patients with DM (<xref ref-type="bibr" rid="B4">4</xref>). DKD inflammation produces several chemokines, which promote a pro-inflammatory microenvironment and amplify renal injury (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). The majority of the pro-inflammatory responses observed in diabetic kidneys involve the activation of the transcription factor nuclear factor kappa-light-chain-enhancer of activated B cells (NF-<italic>&#x3ba;</italic>B). The activation of NF-<italic>&#x3ba;</italic>B and the transcription of certain pro-inflammatory chemokines in tubular epithelial cells are the markers of progressive DKD (<xref ref-type="bibr" rid="B43">43</xref>). Gene expression profiling of the tubulointerstitial compartment of patient biopsies has also identified 54 upregulated NF-<italic>&#x3ba;</italic>B target genes in progressive DKD (<xref ref-type="bibr" rid="B44">44</xref>). These studies showed that NF-<italic>&#x3ba;</italic>B activation stimulated macrophage recruitment and production of inflammatory cytokines [monocyte chemotactic protein-1 (MCP-1)], tumor necrosis factor (TNF)-&#x3b1;, interleukin (IL)-1&#x3b2;, and IL-6) in diabetic kidneys, which were associated with the progression of the disease (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>).</p>
<p>In diabetic kidneys, excessive amount of plasma proteins, including albumin, filtered through the damaged glomerulus appears in the glomerular filtrate. Conventional perspectives have emphasized the role of glomerular hypertension and hyperfiltration in the early stage of DKD, which induce the increase in serum creatinine and urinary albumin excretion (<xref ref-type="bibr" rid="B47">47</xref>). However, more recent studies have focused on an unchanged glomerular albumin filtration and reduced tubular albumin reabsorption (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B48">48</xref>). A membrane-associated endocytic receptor megalin (low-density lipoprotein receptor-related protein 2; LRP2) drives the reabsorption of nearly all filtered plasma proteins in cooperation with the receptor protein cubilin (<xref ref-type="bibr" rid="B49">49</xref>&#x2013;<xref ref-type="bibr" rid="B51">51</xref>). Protein-overloaded condition occurs in the proximal tubular epithelial cells of the diabetic kidney. Several experimental studies have indicated that protein overload induces proximal tubular cell apoptosis (<xref ref-type="bibr" rid="B52">52</xref>), oxidative stress (<xref ref-type="bibr" rid="B53">53</xref>), inflammation, and tubulointerstitial fibrosis (<xref ref-type="bibr" rid="B54">54</xref>&#x2013;<xref ref-type="bibr" rid="B56">56</xref>). The clinical relevance of increased proximal reabsorption and hyperfiltration in diabetes has been demonstrated by the ability of SGLT2 inhibitors (SGLT2is) to improve renal outcomes in patients with diabetes in large-scale clinical trials, promoting the emergence of the renal tubulocentric hypothesis (<xref ref-type="bibr" rid="B15">15</xref>).</p>
</sec>
<sec id="s2_3">
<title>A Link of Diabetogenic Stimuli to Morphological and Functional Changes in Tubules</title>
<p>High levels of glucose-induced oxidative stress contribute to cell death in tubule injury and tubulointerstitial fibrosis in DKD (<xref ref-type="bibr" rid="B57">57</xref>). In addition, persistently high levels of glucose can cause abnormal activation of mitochondrial and endoplasmic reticulum stress and intracellular signal transduction pathways, leading to further activation of downstream inflammatory factors and induction of innate immune response (<xref ref-type="bibr" rid="B58">58</xref>). The innate immunity in native kidney cells is upregulated at the stage of diabetic microalbuminuria, while tubulointerstitial kidney cell infiltration is associated with albuminuria and fibrosis at a more advanced stage (<xref ref-type="bibr" rid="B59">59</xref>). Moreover, it was shown that macrophage accumulation in the interstitium, but not glomeruli, was associated with albuminuria and renal function loss (<xref ref-type="bibr" rid="B58">58</xref>). Clustered renal neutrophils were mostly observed in the peritubular space and were associated with accelerated progression and eventual kidney function loss (<xref ref-type="bibr" rid="B60">60</xref>). Mast cell accumulation and degranulation were observed in patients with T2DM at varying stages in the periglomerular, peritubular, and perivascular regions of the interstitium. Their presence correlated with tubulointerstitial injury and disease progression (<xref ref-type="bibr" rid="B61">61</xref>). These studies suggested that renal tubulointerstitial infiltration by inflammatory cells could accelerate tissue damage. Besides, the components of the glomerular filtrate, such as albumin, advanced glycation end products, growth hormones, <italic>etc.</italic>, interacted with the tubular system and contributed to increased energy consumption, renal oxidative stress, cortical interstitial inflammation, impairment of autophagy, stimulation of hypoxia, and tubulointerstitial fibrosis in DKD (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B62">62</xref>&#x2013;<xref ref-type="bibr" rid="B64">64</xref>). More convincingly, Vallon et&#xa0;al. illustrated that several diabetogenic stimuli (oxidative stress, tubular renin&#x2013;angiotensin system, enhanced filtration, and tubular expression of growth factors) induced the growth of the proximal tubules and enhanced tubule reabsorptive capacity, resulting in inflammation, fibrosis, scarring, and impairment of renal function in the diabetic kidney (<xref ref-type="bibr" rid="B15">15</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>Challenges and Progress in the Application of Novel Tubular Biomarkers</title>
<p>In clinical practice, therapeutic strategies for early identification of the kidney lesions in diabetic conditions and consequent slowing of the progression of DKD are still limited and currently mostly rely upon conventional biomarkers. The urine albumin-to-creatinine ratio (uACR) and eGFR are well-standardized and widely used biomarkers for evaluating kidney function and determining different stages of kidney disease in clinical practice. Although carrying prognostic information, eGFR is subject to variation owing to the analytical error of the creatinine measurement and biological variation derived from serum creatinine, patient&#x2019;s age, and gender (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>). ACR, a tubuloglomerular-centric marker, has been recognized as the hallmark of DKD and precedes renal function loss in years. It not only reflects the capacity of glomerular permeability but is also a valuable indicator of tubular damage or dysfunction. The increase in albuminuria followed by glomerular hyperfiltration places a burden on the proximal tubule and elicits an inflammatory response leading to tubulointerstitial damage (<xref ref-type="bibr" rid="B67">67</xref>). Nevertheless, a substantial proportion of patients with T1DM or T2DM have renal function impairment without proteinuria, which is known as non-proteinuric DKD (<xref ref-type="bibr" rid="B68">68</xref>&#x2013;<xref ref-type="bibr" rid="B70">70</xref>). The data on clinicopathological characteristics, renal prognosis, and all-cause mortality are limited to a handful of clinical trials and longitudinal studies focused on this phenotype. In 2018, the Chronic Renal Insufficiency Cohort (CRIC) study showed that the absence of albuminuria or proteinuria was common and carried a much lower risk for ESKD, chronic kidney disease (CKD) progression, or rapid decline in eGFR than those with albuminuria or proteinuria did (<xref ref-type="bibr" rid="B71">71</xref>). In line with this, another propensity score-matched analysis of a nationwide, biopsy-based cohort reported that non-proteinuric DKD patients presented better-controlled blood pressure and fewer typical morphological changes. They were also at a lower risk of CKD progression and all-cause mortality (<xref ref-type="bibr" rid="B72">72</xref>). The possible mechanism of developing non-proteinuric DKD may rely on racial/ethnic differences, aging, and response to RAAS inhibitors or other glomerulus-protective drugs before the diagnosis of DKD (<xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B73">73</xref>). Therefore, there is still a compelling need to discover potential novel biomarkers for early diagnosis and timely risk stratification in DKD.</p>
<p>Recent advancements in omics-based biomarkers including proteomics, metabolomics, genome, transcriptome, or lipidome and the integration of these different approaches continue to unveil new potential biomarkers (<xref ref-type="bibr" rid="B74">74</xref>). Urinary novel proteomics, peptidomics markers may be associated with impaired proximal tubular reabsorption that almost all of these filtered proteins are reabsorbed into the proximal tubules through megalin/cubilin-mediated endocytosis (<xref ref-type="bibr" rid="B75">75</xref>). One study also demonstrated that empagliflozin, the SGLT2i, significantly impacts urinary peptides (<xref ref-type="bibr" rid="B76">76</xref>). However, their detection is relatively expensive and still needs time to promote clinical use. Rigorous technical and clinical validation studies are demanded to clarify the specific role and the underlying mechanism. Future research in DKD should attempt to explain how the novel biomarkers can be combined with traditional clinical and biochemical biomarkers in clinical practice to guide screening programs, improve risk stratification, predict response to treatment, and provide a method of monitoring response to treatment. The tubular biomarkers in DKD are summarized in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, which outlines three main classes of the principal tubular biomarkers that may be helpful in early detection and risk-stratification of DKD. The potential applications of these biomarkers in DKD were shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Potential tubular biomarkers in DKD. TGF-<italic>&#x3b2;</italic>, transforming growth factor-<italic>&#x3b2;</italic>; NGAL, neutrophil gelatinase-associated apolipoprotein; KIM-1, kidney injury molecule 1; YKL-40, chitinase-3-like protein 1; MCP-1, monocyte chemoattractant protein-1; L-FABP, liver-type fatty acid binding protein; NAG, N-acetyl-<italic>&#x3b2;</italic>-D-glucosidase; ALP, alkaline phosphatase; GGT, gamma-glutamyl transpeptidase; Gpnmb, glycoprotein Nmb; EGFR, epidermal growth factor receptor; TNFR1/2, tumor necrosis factor receptor 1/2; suPAR, soluble urokinase receptor; CTGF, connective tissue growth factor; INF-<italic>&#x3b3;</italic>, interferon-<italic>&#x3b3;</italic>; TNF-&#x3b1;, tumor necrosis factor-&#x3b1;; IL-6/10/18, interleukin 6/10/18; MDA, malondialdehyde; AOPP, advanced oxidation protein products; SOD, superoxide dismutase; HO-1, hemeoxygenase-1; GSH, glutathione; PA, pantothenic acid; OAT1/3, organic anion transporter1/3; 3-HIBA, 3-hydroxyisobutyrate; CKD, chronic kidney disease; TAS, total antioxidant status.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-661185-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary of principal tubular biomarkers of DKD in clinical use.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Tubular biomarkers</th>
<th valign="top" align="center">Clinical Importance</th>
<th valign="top" align="center">Sample</th>
<th valign="top" align="center">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="7" align="left">
<bold>NGAL</bold>
</td>
<td valign="top" align="left">increased when acute tubular damage of various causes occurred; correlated with CKD progression</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B78">78</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">associated with urinary albumin excretion, rapid decline of eGFR, and increased serum creatinine</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B79">79</xref>&#x2013;<xref ref-type="bibr" rid="B82">82</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">associated with renal progression to ESKD, progressive tubular structural and functional impairment</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B83">83</xref>&#x2013;<xref ref-type="bibr" rid="B85">85</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">best predictive cutoff value of urinary NGAL to creatine ratio (uNCR) for T2DKD diagnosis was 60.685 ng/mg;</td>
<td valign="top" rowspan="2" align="left">urine</td>
<td valign="top" rowspan="2" align="center"> (<xref ref-type="bibr" rid="B82">82</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">7.595 times higher risk of nephrotic-range proteinuria in T2DKD patients with uNCR &gt;60.685 <italic>vs.</italic>&#x2264;60.685 ng/mg.</td>
</tr>
<tr>
<td valign="top" align="left">twofold or greater risk for CKD progression in patients with diabetes;</td>
<td valign="top" rowspan="2" align="left">urine</td>
<td valign="top" rowspan="2" align="center"> (<xref ref-type="bibr" rid="B10">10</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">1.5-fold or greater risk for CKD progression in patients without diabetes</td>
</tr>
<tr>
<td valign="top" rowspan="12" align="left">
<bold>KIM-1</bold>
</td>
<td valign="top" align="left">repaired injury by removing apoptotic bodies and cellular debris</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">upregulated when kidney damages</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B86">86</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">largely restricted to tubular cells in areas with tubulointerstitial damage induced by overload proteinuria; upregulated in proteinuric nephropathy and associated with renal fibrosis and inflammation.</td>
<td valign="top" align="left">tissue</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B55">55</xref>) (<xref ref-type="bibr" rid="B87">87</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">elevated in T2DM with normal or mildly increased albuminuria</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B88">88</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">increased in T1DM patients who developed from macroalbuminuria to late-stage CKD</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B89">89</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">elevated in the high-risk group which was stratified by both ACR and eGFR; decreased in the very high-risk group; not associated with either eGFR or albuminuria</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B84">84</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">no predictive value for progression to ESKD independently of albumin excretion rate (AER); no prognostic benefit to conventional biomarkers (AER, eGFR); causal impact of KIM-1 on the decrease of eGFR in T1DM by Mendelian randomization analysis</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B89">89</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">no association with uKIM-1-to-creatinine ratio and eGFR decline in patients with T2DM</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B13">13</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">contains most of the predictive information for eGFR progression in T1DM</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B90">90</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">predictive value for the rapid decline of renal function in DKD</td>
<td valign="top" align="left">urine/serum</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B92">92</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">associated with DKD progression and yearly decline in eGFR</td>
<td valign="top" align="left">plasma</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B9">9</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">the most important predictor by cross-omics technologies</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B93">93</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">
<bold>YKL-40</bold>
</td>
<td valign="top" align="left">a marker of inflammation and endothelial dysfunction; an indicator of tubular injury severity</td>
<td valign="top" align="left">/</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B95">95</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">associated with albuminuria in T1DM and in early stage of nephropathy in T2DM</td>
<td valign="top" align="left">plasma</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B96">96</xref>) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B97">97</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">elevated among macroalbuminuric T2DM patients</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B98">98</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">not associated with eGFR decline and varying levels of baseline eGFR and albuminuria in T2DM</td>
<td valign="top" align="left">plasma</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B99">99</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">a plasma marker of DKD progression</td>
<td valign="top" align="left">plasma</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B9">9</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">
<bold>MCP-1</bold>
</td>
<td valign="top" align="left">upregulated and expressed in the diabetic glomerular and renal tubular epithelium</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B100">100</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">correlated with the extent of interstitial inflammatory infiltrate</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B101">101</xref>, <xref ref-type="bibr" rid="B102">102</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">associated with severity of proteinuria in DKD</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B103">103</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">elevation in renal tubuli contributes to renal tubular damage in DKD</td>
<td valign="top" align="left">tissue</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B103">103</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">MCP-1-to-creatinine ratio concentrations were strongly associated with sustained renal decline, severity of kidney damage in T2DM</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B13">13</xref>) (<xref ref-type="bibr" rid="B84">84</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">associated with an increased risk of DKD progression only among patients with baseline eGFR&lt;45 ml/min per 1.73 m<sup>2</sup>
</td>
<td valign="top" align="left">plasma</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B9">9</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">
<bold>Cubilin and megalin</bold>
</td>
<td valign="top" align="left">increased in microalbuminuria groups compared with non-albuminuric groups in T1DM</td>
<td valign="top" align="left">urine</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B104">104</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">genetic association exists between a cubilin and a rare megalin variant with diabetes-associated ESKD in populations with recent African ancestry</td>
<td valign="top" align="left">gene</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B105">105</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">upregulated renal megalin expression in early T2DM rats</td>
<td valign="top" align="left">tissue</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B106">106</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">elevated in two models of insulin-deficient diabetes in drug-inducible megalin knockout mice</td>
<td valign="top" align="left">tissue</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B107">107</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">megalin in both segment 1 and segment 2 participated in clearing the ultrafiltrate from proteins in both cortical and juxtamedullary nephrons under normal conditions</td>
<td valign="top" align="left">tissue</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B108">108</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">megalin in segment 3 was inactive with regard to protein endocytosis; it was activated by the presence of proteins in the lumen of the tubule in normal physiology</td>
<td valign="top" align="left">tissue</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B108">108</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NGAL, neutrophil gelatinase-associated apolipoprotein; KIM-1, kidney injury molecule 1; YKL-40, chitinase-3-like protein 1; MCP-1, monocyte chemoattractant protein-1; T1DM/T2DM, type 1/2 diabetes mellitus; CKD, chronic kidney disease; ESKD, end-stage kidney disease; DKD, diabetic kidney disease; eGFR, estimated glomerular filtration rate; AER, albumin excretion rate; ESKD, end-stage of kidney disease; uNCR urinary NGAL to creatine ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_1">
<title>Neutrophil Gelatinase-Associated Lipocalin</title>
<p>NGAL is a 24 kDa secreted glycoprotein that belongs to the lipocalin protein family. As mainly released by neutrophils and distal tubular cells, it rapidly increases when acute tubular damage of various causes occurs (<xref ref-type="bibr" rid="B109">109</xref>). Following the discovery that NGAL levels are also raised in the CKD setting, this marker has been suggested to correlate with CKD progression (<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B78">78</xref>). More importantly, a great number of studies have demonstrated the important role of NGAL in predicting the evolution of DKD. In a study of T2DM patients and healthy controls, Fu et&#xa0;al. reported that NGAL increased across the four groups from controls to normoalbuminuric, microalbuminuric, and macroalbuminuric patients (<xref ref-type="bibr" rid="B79">79</xref>). In several observational single-center follow-up studies, elevated urine NGAL level was shown to be associated with urinary albumin excretion (<xref ref-type="bibr" rid="B80">80</xref>), the rapid decline in eGFR and increased serum creatinine (<xref ref-type="bibr" rid="B81">81</xref>), renal progression to ESKD (<xref ref-type="bibr" rid="B83">83</xref>), and progressive tubular structural and functional impairment (<xref ref-type="bibr" rid="B84">84</xref>). Consistently, our cohort study found that the best predictive cutoff value of urinary NGAL to creatine ratio (uNCR) for DKD diagnosis was 60.685 ng/mg, and T2DM patients with the increased level of uNCR had a higher risk of nephrotic-range proteinuria and worse renal outcome (<xref ref-type="bibr" rid="B82">82</xref>). Furthermore, a more recent report from the CRIC study conducted at seven US clinical centers provided solid evidence that higher urinary NGAL levels were not only strongly associated with cardiac markers, but were also linked to an approximately twofold or greater risk of CKD progression in patients with DM (<xref ref-type="bibr" rid="B10">10</xref>). It has been postulated that NGAL captures some of the variability in the rate of kidney function decline independently of albuminuria or other risk factors and reflects tubular injury and inflammation in the setting of DKD (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B85">85</xref>).</p>
</sec>
<sec id="s3_2">
<title>Kidney Injury Molecule 1</title>
<p>KIM-1 is a transmembrane protein expressed on the apical membrane of proximal tubule cells (<xref ref-type="bibr" rid="B110">110</xref>). KIM-1 facilitates the repair of the injury by removing apoptotic bodies and cellular debris from the damaged tubulointerstitial compartment (<xref ref-type="bibr" rid="B8">8</xref>). Han et&#xa0;al. reported that urinary KIM-1 was not detectable in normal kidneys while its levels were upregulated with the occurrence of kidney injury (<xref ref-type="bibr" rid="B86">86</xref>). Consistently, renal KIM-1 expression was largely restricted to tubular cells in areas with tubulointerstitial damage in an experimental model of tubulointerstitial damage induced by overload proteinuria (<xref ref-type="bibr" rid="B55">55</xref>), and it was also upregulated in patients with proteinuric nephropathy (<xref ref-type="bibr" rid="B87">87</xref>). Hence, KIM-1 was suggested to be a specific and sensitive biomarker of proximal tubular damage. However, there has been a controversy about the changes in its serum and urine levels, as well as its association with kidney progression in DKD. In several studies, urine KIM-1 was elevated in T2DM patients with normal or mildly increased albuminuria (<xref ref-type="bibr" rid="B88">88</xref>) and in T1DM patients who developed from macroalbuminuria to late-stage CKD (<xref ref-type="bibr" rid="B89">89</xref>). However, Siddiqui et&#xa0;al. found that urinary KIM-1 was elevated in the high-risk group (stratified by both ACR and eGFR) and reduced in the very high-risk group. Also, it was not found to be associated with either eGFR or albuminuria (<xref ref-type="bibr" rid="B84">84</xref>). The disparity of those studies may be due to the limited sample sizes and selected population. In a large-sample randomized-controlled trial in T1DM conducted by Panduru et&#xa0;al., KIM-1 had no predictive value for progression to ESKD independently of albumin excretion rate (AER) and added no prognostic benefit to conventional biomarkers (AER, eGFR). However, the causal impact of KIM-1 on the decrease of eGFR in T1DM was confirmed by Mendelian randomization analysis (<xref ref-type="bibr" rid="B89">89</xref>). Nadkarni et&#xa0;al. did not find any association with uKIM-1-to-creatinine ratio and eGFR decline in patients with T2DM and preserved renal function from the ACCORD Trial population (<xref ref-type="bibr" rid="B13">13</xref>). Another recent report in T1DM patients from the Scottish Diabetes Research Network Type 1 Bioresource (SDRNT1BIO) and the Finnish Diabetic Nephropathy (FinnDiane) study showed that just the serum KIM-1, as well as CD27, contained most of the predictive information for eGFR progression among a large set of associated biomarkers evaluated with the Luminex platform and LC electrospray tandem MS (LC-MS/MS) (<xref ref-type="bibr" rid="B90">90</xref>). More recent evidence still emphasizes the important role of KIM-1 in DKD. In 2020, a multicenter and prospective cohort within the CRIC Study suggested that higher plasma KIM-1 levels were associated with DKD progression and yearly decline in eGFR (<xref ref-type="bibr" rid="B9">9</xref>). Kammer et&#xa0;al. reported that the discrimination of eGFR trajectories in individuals with the incident or early DKD and maintained baseline eGFR was modest, and KIM-1 was the most critical predictor by cross-omics technologies (<xref ref-type="bibr" rid="B93">93</xref>).</p>
</sec>
<sec id="s3_3">
<title>YKL-40</title>
<p>YKL-40, which is composed of three N terminal amino acids tyrosine (Y), lysine (K), and leucine (L), is a low-molecular-weight (40 kDa) heparin- and chitin-binding glycoprotein. Also known as cartilage glycoprotein-39 or chitinase 3-like protein 1 (CHI3L1), YKL-40 is a product of the chitinase 3-like 1 gene and a growth factor for several cell types. It has an established role in extracellular matrix remodeling and angiogenesis (<xref ref-type="bibr" rid="B111">111</xref>). Moreover, YKL-40 acts as a marker of inflammation and endothelial dysfunction. It is secreted by various cells such as neutrophils and activated macrophages in different inflamed tissues and vascular smooth muscle cells (<xref ref-type="bibr" rid="B94">94</xref>). Increasing evidence stressed the role of YKL-40 in kidney disease. YKL-40 was demonstrated to be an indicator of tubular injury severity, and it was upregulated in kidney macrophages after ischemia&#x2013;reperfusion injury (<xref ref-type="bibr" rid="B95">95</xref>). It played a role in limiting tubular cell apoptosis during the repair phase of acute kidney injury (AKI) (<xref ref-type="bibr" rid="B95">95</xref>). The association of YKL-40 with DKD has also been suggested. Several studies have suggested that urine YKL-40 has a limited role. In contrast, plasma YKL-40 was independently associated with albuminuria in T1DM and in the early stage of nephropathy in T2DM patients (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B96">96</xref>, <xref ref-type="bibr" rid="B97">97</xref>). However, one study documented that urinary excretion of YKL-40 was significantly elevated among macroalbuminuric T2DM patients (<xref ref-type="bibr" rid="B98">98</xref>), while another study reported that plasma YKL-40 was not associated with eGFR decline in participants with type 2 diabetes and varying levels of baseline eGFR (mean eGFR 78 ml/min per 1.73 m<sup>2</sup>) and albuminuria (<xref ref-type="bibr" rid="B99">99</xref>). More convincing results were obtained from a multicenter, prospective, large-sample cohort within the CRIC Study, providing new insights on YKL-40 as a plasma marker of DKD progression. Increased plasma YKL-40 concentrations were associated with DKD progression and decline in eGFR over time, even after adjustment for potential confounders and other plasma biomarkers (<xref ref-type="bibr" rid="B9">9</xref>).</p>
</sec>
<sec id="s3_4">
<title>Monocyte Chemoattractant Protein-1</title>
<p>MCP-1 (or C-C chemokine ligand 2) is a member of the C-C chemokine family, recruiting monocytes and influencing macrophage accumulation (<xref ref-type="bibr" rid="B112">112</xref>, <xref ref-type="bibr" rid="B113">113</xref>). As an inflammatory biomarker, MCP-1 is highly upregulated in the diabetic glomerular and tubular epithelium (<xref ref-type="bibr" rid="B100">100</xref>). Previous studies have documented that urinary MCP-1 levels not only correlate with the extent of interstitial inflammatory infiltration but also are associated with the development of albuminuria and renal damage (<xref ref-type="bibr" rid="B101">101</xref>, <xref ref-type="bibr" rid="B114">114</xref>). Morii et&#xa0;al. found that MCP-1 was produced in renal tubular cells and released into the urine in proportion to the degree of albuminuria. Increased renal tubular MCP-1 expression contributed to tubular damage in DKD (<xref ref-type="bibr" rid="B103">103</xref>). The ACCORD trial enrolled 10,251 T2DM patients with preserved renal function and examined the association of four biomarker-to-creatinine ratio levels; only MCP-1-to-creatinine ratio concentrations were strongly associated with the sustained renal decline (<xref ref-type="bibr" rid="B13">13</xref>). Siddiqui et&#xa0;al. also found that elevated urinary MCP-1 was related to the severity of kidney damage, and it was expressed more in progressive renal impairment in T2DM (<xref ref-type="bibr" rid="B84">84</xref>). The 2020 CRIC Study first reported an association of plasma MCP-1 concentrations and DKD progression among individuals with moderate to severe kidney disease. Higher plasma MCP-1 levels were associated with an increased risk of DKD progression only among patients with baseline eGFR&lt;45 ml/min per 1.73 m<sup>2</sup> (<xref ref-type="bibr" rid="B9">9</xref>).</p>
</sec>
<sec id="s3_5">
<title>Cubilin and Megalin</title>
<p>In physiological conditions, proximal tubule epithelial cells have the capacity of reabsorbing nearly all low-molecular-weight serum proteins and ultrafiltrated albumin, along with glucose, phosphate, amino acids, and various ions. The key contributor for the uptake ability of the epithelial cells essentially relies on the collective effort of two apical membrane receptors cubilin (CUBN) and megalin (LRP2), which form a complex expressed at the brush border (<xref ref-type="bibr" rid="B115">115</xref>). Both cubilin and megalin are huge multiligand receptors (460 and 600 kDa, respectively), each of which could independently bind to an amount of identified substrates including albumin and vitamin D binding protein (VDBP) (<xref ref-type="bibr" rid="B49">49</xref>). After ligand binding, cubilin/megalin ligands interact and are internalized to proximal tubular epithelial cells&#x2019; (PTECs) endosomes and lysosomes for catabolic degradation and receptor recycling (<xref ref-type="bibr" rid="B116">116</xref>). Using a GeLC/MS platform proteomics approach, Thrailkill et&#xa0;al. first propose that enhanced cubilin and megalin excretion might serve as important markers of DKD, considering that urinary cubilin and megalin were significantly higher in microalbuminuria groups than in non-albuminuric groups in T1DM patients (<xref ref-type="bibr" rid="B104">104</xref>). Both album infiltration and reabsorption were observed elevated in two models of insulin-deficient diabetes and drug-inducible megalin knockout mice (<xref ref-type="bibr" rid="B107">107</xref>). A study published in 2020 explained that megalin in both segment 1 and segment 2 participated in clearing the ultrafiltrate from proteins in both cortical and juxtamedullary nephrons under normal conditions. Although megalin in segment 3 was inactive concerning protein endocytosis, it was activated by the presence of proteins in the lumen of the tubule in normal physiological conditions (<xref ref-type="bibr" rid="B108">108</xref>). These studies provided a theoretical rationale and backbone for early treatment to improve the capacity of proximal tubule to avoid the development of proteinuria.</p>
</sec>
</sec>
<sec id="s4">
<title>Renal Tubule-Targeting Therapeutics: A New Era for DKD Management</title>
<p>In addition to the new tubulocentric insights for DKD mentioned above, the emergence of new anti-hyperglycemic agents has considerably altered the therapeutic landscape of DKD. For decades, the cornerstone of DKD therapeutics relied on lifestyle interventions, strategies for hyperglycemia and hypertension in combination with the use of angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) (<xref ref-type="bibr" rid="B117">117</xref>). Recent advances in studies on novel glucose-lowering agents promote the new era in the advanced glycemic control and concurrently promise cardiorenal protection in DKD management. <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> depicts the current high-profile classes of potential novel anti-hyperglycemic agents for DKD, mainly grouped into renal tubule-targeting therapies, incretin therapies, and energy pathways-targeting therapies (<xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B118">118</xref>). The tubule-targeting medicine, SGLT2i also affects the energy pathway associated with enhanced sirtuin1 and hypoxia-inducible factor (HIF)-2a signaling (<xref ref-type="bibr" rid="B119">119</xref>). In addition to SGLT2i, incretin drugs include glucagon-like peptide 1 receptor (GLP1R) agonists and dipeptidyl peptidase 4 (DPP4) inhibitors, which also have the potential to improve tubulointerstitial function. GLP1R expression was detected in macrophages, endothelial cells, juxtaglomerular cells, and proximal tubules within the kidney in various animal models and human tissue (<xref ref-type="bibr" rid="B117">117</xref>). Endogenous GLP1R signaling exerts a natriuretic action in DKD. Direct GLP1R-stimulation induces diuresis and natriuresis by increasing GFR and inhibiting the activity of the sodium-hydrogen exchanger isoform 3 (NHE3) in the proximal tubule (<xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B121">121</xref>). Nevertheless, DPP4 inhibitors demonstrate modest kidney-protective effects. Compared with the GLP1R agonists, they mainly attenuate albuminuria without an impact on eGFR decline. DPP4 inhibitors indirectly modulate glucose-dependent insulin secretion and suppress glucagon secretion from pancreatic <italic>&#x3b1;</italic>-cells by elevating endogenous GLP1 levels (<xref ref-type="bibr" rid="B122">122</xref>). Linagliptin, the only available DPP4 inhibitor, showed a significant improvement in albuminuria progression but not in kidney outcomes in the Cardiovascular and Renal Microvascular Outcome Study with Linagliptin (CARMELINA) trial (<xref ref-type="bibr" rid="B123">123</xref>). No significant placebo-adjusted changes in eGFR or albuminuria with linagliptin therapy were observed in the Modification of Albuminuria in T2D and CKD with the LINAgliptin (MARLINA-T2D&#x2122;) study (<xref ref-type="bibr" rid="B124">124</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Outlines of potential novel glucose-lowering agents for DKD. AMPK 5-AMP-activated protein kinase; PGC-1<italic>&#x3b1;</italic> peroxisome proliferator-activated receptor <italic>&#x3b3;</italic> coactivator-1 alpha.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-661185-g003.tif"/>
</fig>
<p>Among diabetic medications, SGLT2i attracts considerable attention for their pleiotropic effects on glycemic control, renal protection, cardiovascular benefits, blood pressure control, and attenuation of lipid levels. SGLT2 is a low-capacity and high-affinity glucose transporter with 1:1 Na+/glucose stoichiometry. It is located in the S1&#x2013;2 segment of the proximal convoluted tubules and is responsible for reabsorption of 90% of glucose filtered through the glomerulus (<xref ref-type="bibr" rid="B125">125</xref>). Multiple mechanisms are explored involving the kidney protection of SGLT2 inhibition, mainly characterized into (1) attenuation of proximal tubular oxidative stress, mitochondrial morphology, modulation of key metabolism and reabsorptive proteins, pro-inflammatory and profibrotic cytokines, and improvement of tubulointerstitial fibrosis; (2) through activation of tubuloglomerular feedback to regulate glomerular hemodynamic stability and metabolic effects (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B127">127</xref>). <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> summarizes the underlying mechanism of kidney protection by SGLT2 inhibition in DM reported in recent years.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Proposed hypotheses for the kidney protective mechanisms of SGLT2 inhibitors in DKD.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Mechanisms</th>
<th valign="top" align="center">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">decreased sodium uptake by Na<sup>+</sup>/H<sup>+</sup> exchanger isoform 3 (NHE3) expression in proximal convoluted tubules (PTs)</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B128">128</xref>&#x2013;<xref ref-type="bibr" rid="B133">133</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">reduced urinary excretion of angiotensin II and angiotensinogen levels in SGLT2 inhibitor-treated T2DM rats</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B134">134</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">did not further activate RAS in the long term, which prevented the RAS-mediated aggravation of cardiovascular and renal events</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B134">134</xref>, <xref ref-type="bibr" rid="B135">135</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">reduced urinary angiotensinogen excretion in patients with T2DM</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B136">136</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">increased urinary angiotensinogen excretion in patients with T1DM</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B137">137</xref>, <xref ref-type="bibr" rid="B138">138</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">modulated the tubular expression of proteins governing the medullary concentration activity, further had an effect on fluid and electrolyte balance</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B139">139</xref>, <xref ref-type="bibr" rid="B140">140</xref>) (<xref ref-type="bibr" rid="B132">132</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">blocked the activation of the apoptotic-associated protein within PT cells</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B141">141</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">glomerular fibrosis or injury was not alleviated in SGLT2-knockout diabetic mice</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B142">142</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">modulated oxidative stress and intraglomerular inflammation and could thus alleviate renal fibrosis</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B143">143</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">alleviated the generation of vanin-1, the biomarker for oxidative stress within the kidney</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B144">144</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">lessened the epithelial-to-mesenchymal transition by modulating miR21</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B145">145</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">alleviated renal fibrosis by lowering lipid accumulation-induced inflammation mediated by CD68 macrophages</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B146">146</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">activation of tubuloglomerular feedback: alleviated apoptosis by increasing autophagosomal formation within glomerular mesangial cells and podocytes</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B147">147</xref>, <xref ref-type="bibr" rid="B148">148</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">anti-inflammatory effects: decreased the levels of several cytokines such as tumor necrosis factor&#x3b1; (TNF&#x3b1;), interleukin-6, high-sensitivity C-reactive protein, and leptin</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B149">149</xref>, <xref ref-type="bibr" rid="B150">150</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">restored oxygen supply, thereby alleviating the metabolic stress state in the mitochondria and restoring the hematocrit level in patients with DM</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B151">151</xref>, <xref ref-type="bibr" rid="B152">152</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">reduced ECM fibrosis by inflammation reduction and RAAS overactivation</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B153">153</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">the EPO-producing ability in patients with DM might be reversed after treatment with SGLT2i</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B154">154</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">suppressed HIF-1<italic>&#x3b1;</italic>-mediated metabolic switch from lipid oxidation to glycolysis in kidney tubule cells of diabetic mice.</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B155">155</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">inhibited aberrant glycolytic metabolism and mitochondrial ROS formation in PTEC in high-glucose conditions.</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B156">156</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>via</italic> the reduction of megalin O-GlcNAcylation and the following megalin internalization and endocytic functional suppression to attenuate protein overload in renal proximal tubule in progressive DKD.</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B56">56</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">promoted elevation of ketone bodies, which subsequently inhibited mTORC1 in the proximal renal tubules, explaining their protective effects s in non-proteinuric and proteinuric DKD.</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B157">157</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Empagliflozin protected against proximal renal tubular cell injury induced by high glucose <italic>via</italic> regulation of hypoxia-inducible factor 1-alpha.</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B158">158</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NHE3, Na+/H+ exchanger isoform 3; PT, proximal convoluted tubule; SGLT2, sodium-glucose co-transporter 2; T1DM/T2DM, type 1/2 diabetes mellitus; RAS, renin-angiotensin system; RAAS, Renin-angiotensin-aldosterone System; TNF&#x3b1;, tumor necrosis factor&#x3b1;; ECM, extracellular matrix; EPO, erythropoietin; DM, diabetes mellitus; HIF-1&#x3b1;, hypoxia inducible factor-1&#x3b1;; PTEC, Proximal Tubular Epithelial Cell; DKD, Diabetic Kidney Disease; mTORC1, mammalian target of rapamycin complex 1.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>There is increasing evidence suggesting that SGLT2i has renal protective effects in addition to cardiovascular protection, as reported by diverse clinical trials (summarized in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). The first clues involving the potential nephroprotection with SGLT-2 inhibitors originated from glucose-lowering trials that set albuminuria as a secondary outcome (<xref ref-type="bibr" rid="B167">167</xref>). In the Empagliflozin Cardiovascular Outcome Event (EMPA-REG OUTCOME) trial, the treatment of empagliflozin significantly reduced the primary end points which were defined as progression to macroalbuminuria, doubling of the serum creatinine level (D-Scr), initiation of kidney replacement therapy, or renal death, and incident albuminuria (<xref ref-type="bibr" rid="B159">159</xref>) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). In addition, all individual renal end points showed notable attenuation (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B168">168</xref>). In the subsequent published Canagliflozin Cardiovascular Assessment Study (CANVAS) and CANVAS-Renal (R) program studies, clear renal protective effects were also noted (<xref ref-type="bibr" rid="B160">160</xref>, <xref ref-type="bibr" rid="B161">161</xref>). Kidney function declined in a relatively stable manner, and urine albumin loss decreased in participants who received canagliflozin <italic>vs.</italic> placebo. Regarding the Dapagliflozin Effect on Cardiovascular Events-Thrombolysis in Myocardial Infarction 58 (DECLARE-TIMI 58) trials, although treatment with dapagliflozin showed a non-inferior rate of major adverse cardiovascular events (MACEs) than placebo, a possible lower rate of adverse renal outcomes in the dapagliflozin group than in the placebo group was observed (<xref ref-type="bibr" rid="B163">163</xref>). Although the above cardiovascular trials indicated nephroprotective effects of SGLT2i, it should be noted that the recruitment of participants was biased, considering that the selected patients had a high risk of cardiovascular events and mostly normal kidney function (<xref ref-type="bibr" rid="B169">169</xref>). Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation(CREDENCE) was the first dedicated renal outcomes trial of an SGLT2i canagliflozin, the recruitment of which was randomized in 4,401 T2DM patients with CKD, severely elevated albuminuria, and already ACEIs or ARBs receivers (<xref ref-type="bibr" rid="B162">162</xref>). The incidence rates of primary composite outcomes (D-Scr, ESKD or renal/CV death) and the renal-specific composite outcomes (D-Scr, ESKD or renal death) were significantly lower in the canagliflozin group than in the placebo group. Subsequently, two trials embarked on investigating the kidney effects of SGLT-2 inhibitors in CKD patients with or without DM (<xref ref-type="bibr" rid="B169">169</xref>). The Dapagliflozin and Prevention of Adverse Outcomes in Chronic Kidney Disease (DAPA-CKD) trial enrolled 4,304 CKD patients with an eGFR ranging from 25 to 75 ml/min/1.73 m&#xb2;, and uACR range from 200 to 5,000 mg/g (<xref ref-type="bibr" rid="B164">164</xref>). The trial aimed to evaluate the effect of dapagliflozin 10 mg once daily compared with placebo in addition to a maximum tolerated labeled dose of an ACEI or ARB. Reductions of the same magnitude in the primary outcomes (a composite of a sustained decline in the estimated GFR of at least 50%, ESKD, or renal/CV death) and renal-specific composite outcomes (D-Scr, ESKD, or renal death) were noted. The benefit was comparable for patients with diabetic and non-diabetic CKD. The Heart and Kidney Protection with Empagliflozin (EMPA-KIDNEY) trial commenced in November 2018, with a plan to recruit 5,000 participants and to be completed in June 2022 (<xref ref-type="bibr" rid="B170">170</xref>). The empagliflozin on estimated extracellular volume, estimated plasma volume, and measured glomerular filtration rate in patients with heart failure (Empire HF Renal) trial focused on the effects of empagliflozin in both heart failure and CKD patients. It enrolled 391 patients with left ventricular ejection fraction (LVEF) &#x2264;40% and eGFR &gt;30 ml/min/1.73 m&#xb2;. The results showed that empagliflozin reduced estimated extracellular volume, estimated plasma volume, and measured GFR after 12 weeks, implying that fluid volume changes might be an important mechanism underlying the beneficial clinical effects of SGLT2i (<xref ref-type="bibr" rid="B165">165</xref>). However, the recent Evaluation of Ertugliflozin Efficacy and Safety Cardiovascular Outcomes Trial (VERTIS CV) reported no significant benefit of ertugliflozin for the renal composite outcomes (death from renal causes, renal replacement therapy, or D-Scr) (<xref ref-type="bibr" rid="B166">166</xref>). Further analyses in the trial using renal different end points are underway and may give more clues. To sum up, both in the cardiovascular outcomes trials, which set different definitions of renal outcomes as secondary end points, and in the dedicated trials in CKD patients in which cardiorenal composite outcomes were primary end points, SGLT2i mostly displayed a convincing significant hindering of kidney progression.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Summary of the main renal outcomes of the SGLT2 inhibitors trials.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Trial name/drug </th>
<th valign="top" align="center">Study population</th>
<th valign="top" align="center">Primary endpoint</th>
<th valign="top" align="center">Renal outcomes</th>
<th valign="top" align="center">Effect size (SGLT2i <italic>vs</italic>. placebo)</th>
<th valign="top" align="center">Renal benefits <italic>vs</italic>. placebo</th>
<th valign="top" align="center">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>the EMPA-REG OUTCOME/empagliflozin</bold>
</td>
<td valign="top" align="left">7,020 T2DM, established cardiovascular disease, with eGFR &gt;30 ml/min/1.73 m&#xb2;</td>
<td valign="top" align="left">progression to macroalbuminuria D-Scr, initiation of KRT, or death from renal disease, and incident albuminuria</td>
<td valign="top" align="left">Doubling of Scr with eGFR &#x2264;45 ml/min/1.73 m2, initiation of KRT, or renal death</td>
<td valign="top" align="center">HR 0.54 (95%CI 0.40&#x2013;0.75)</td>
<td valign="top" align="left">Superior</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B159">159</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Incident or worsening nephropathy</td>
<td valign="top" align="center">HR 0.61(95%CI 0.53&#x2013;0.70)</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>the CANVAS Program/Canagliflozin</bold>
</td>
<td valign="top" align="left">10,142 T2DM, high cardiovascular risk, with eGFR &gt;30 (ml/min/1.73 m&#xb2;)</td>
<td valign="top" align="left">a composite of death from cardiovascular causes, non-fatal myocardial infarction, or nonfatal stroke</td>
<td valign="top" align="left">At least 40% reduction in eGFR, need for KRT, or renal death</td>
<td valign="top" align="center">HR 0.60 (95%CI 0.47&#x2013;0.77)</td>
<td valign="top" align="left">Superior</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B160">160</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Progression of albuminuria</td>
<td valign="top" align="center">HR 0.73 (95% CI, 0.67&#x2013;0.79</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>the CANVAS-R Program/Canagliflozin</bold>
</td>
<td valign="top" align="left">10,142 T2DM</td>
<td valign="top" align="left">a composite of sustained and adjudicated D-Scr, ESKD, or renal death</td>
<td valign="top" align="left">D-Scr, ESKD, or renal death</td>
<td valign="top" align="center">HR 0.53 (95% CI 0&#xb7;33&#x2013;0&#xb7;84)</td>
<td valign="top" align="left">Superior</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B161">161</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">40% reduction in eGFR, ESKD, or death from renal causes</td>
<td valign="top" align="center">HR 0.60 (95% CI 0&#xb7;47&#x2013;0&#xb7;77)</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>the CREDENCE Trial/Canagliflozin</bold>
</td>
<td valign="top" align="left">4,401 T2DM and albuminuric CKD</td>
<td valign="top" align="left">D-Scr, ESKD, or renal/CV death</td>
<td valign="top" align="left">D-Scr, ESKD, or renal/CV death</td>
<td valign="top" align="center">HR 0.70 (95% CI, 0.59&#x2013;0.82)</td>
<td valign="top" align="left">Superior</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B162">162</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">D-Scr, ESKD, or renal death</td>
<td valign="top" align="center">HR 0.66 (95% CI, 0.53&#x2013;0.81)</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>the DECLARE-TIMI 58/Dapagliflozin</bold>
</td>
<td valign="top" align="left">17,160 T2DM</td>
<td valign="top" align="left">MACE and a composite of cardiovascular death or hospitalization for heart failure</td>
<td valign="top" align="left">At least 40% reduction in eGFR to less than 60 ml/min per 1.73 m<sup>2</sup>, ESKD, or renal/CV death</td>
<td valign="top" align="center">HR 0.76 (95% CI 0.67&#x2013;0.87)</td>
<td valign="top" align="left">Superior</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B163">163</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">At least 40% reduction in eGFR to less than 60 ml/min per 1.73 m<sup>2</sup>, ESKD, or renal death</td>
<td valign="top" align="center">HR 0.53 (95% CI 0.43&#x2013;0.66)</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>DAPD-CKD</bold>
</td>
<td valign="top" align="left">4304 CKD, with eGFR25-75(ml/min/1.73 m&#xb2;), uACR 200 to 5,000 mg/g</td>
<td valign="top" align="left">a composite of a sustained decline in the estimated GFR of at least 50%, ESKD, or renal/CV death</td>
<td valign="top" align="left">Primary outcome</td>
<td valign="top" align="center">HR 0.61 (95% CI 0.51&#x2013;0.72)</td>
<td valign="top" align="left">Superior</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B164">164</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Renal-specific composite outcome (D-SCr,<break/>ESKD, or renal death)</td>
<td valign="top" align="center">HR 0.56 (95% CI, 0.45&#x2013;0.68)</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Empire HF Renal trial/Empagliflozin</bold>
</td>
<td valign="top" align="left">391 heart failure patients, LVEF &lt;=40%, with eGFR &gt;30(ml/min/1.73 m&#xb2;)</td>
<td valign="top" align="left">the between-group difference in the changes in estimated extracellular volume, estimated plasma volume, and measured GFR from baseline to 12 weeks.</td>
<td valign="top" align="left">Primary outcomes</td>
<td valign="top" align="center">reductions in estimated extracellular volume (adjusted mean difference &#x2212;0.12 L, 95% CI &#x2212;0.18 to &#x2212;0.05; p = 0.00056), estimated plasma volume (&#x2212;7.3%, &#x2212;10.3 to &#x2212;4.3; p &lt; 0&#xb7;0001), and measured GFR (&#x2212;7.5 ml/min, &#x2212;11.2 to &#x2212;3.8; p = 0.00010)</td>
<td valign="top" align="left">Superior in Fluid volume changes</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B165">165</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>VERTIS CV trial/ertugliflozin</bold>
</td>
<td valign="top" align="left">8,246 patients with type 2 diabetes and established atherosclerotic cardiovascular disease</td>
<td valign="top" align="left">a composite of death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke (<italic>i.e</italic>., a major adverse cardiovascular event).</td>
<td valign="top" align="left">renal-specific composite outcome (D-SCr, ESKD, or renal death)</td>
<td valign="top" align="center">HR 0.81 (95.8% CI, 0.63 to 1.04)</td>
<td valign="top" align="left">No significant benefit</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B166">166</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>D-Scr, doubling of the serum creatinine level; KRT, kidney replacement therapy; ESKD, end-stage of kidney disease; LVEF, left ventricular ejection fraction; MACEs, major adverse cardiovascular events defined as cardiovascular death, myocardial infarction, or ischemic stroke; uACR, urinary albumin-to-creatinine ratio (with albumin measured in milligrams and creatinine measured in grams); HR, hazard ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>These impressive clinical trials and mechanistic studies of SGLT2i promoted the clinical guidelines and recommendations to update the optimal approaches for the prevention and management of DKD. In 2019, the American Diabetes Association (ADA), European Association for the Study of Diabetes (EASD), and European Society of Cardiology (ESC) published updated recommendations for the management of patients with T2DM and a high cardiovascular risk, highlighting the cardiorenal benefits of SGLT2i and glucagon-like peptide-1 receptor agonists (GLP-1 RA) (<xref ref-type="bibr" rid="B171">171</xref>&#x2013;<xref ref-type="bibr" rid="B174">174</xref>). The ESC guidelines suggest that SGLT2i or GLP&#xad;1 receptor agonists should have priority when patients coexist with cardiovascular disease and those at high or very high cardiovascular risk. Likewise, the ADA-EASD consensus report indicates that patients at high risk of cardiorenal disease are recommended to be treated with SGLT2i or GLP&#xad;1 receptor agonists, independent of glycosylated hemoglobin (HbA1c) levels. Additionally, SGLT2i, as well as metformin, was recommended as first-line glycemic management for patients with T2D and CKD according to the 2020 Kidney Disease Improving Global Outcomes (KDIGO) guideline for diabetes management in CKD, in light of the kidney benefits for most patients with eGFR &#x2265;30 ml/min per 1.73 m<sup>2</sup> (<xref ref-type="bibr" rid="B175">175</xref>). Empagliflozin and canagliflozin are FDA-approved for use in patients with eGFR &#x2265;45 ml/min/1.73 m<sup>2</sup>, and ertugliflozin and dapagliflozin are used for those with eGFR &#x2265;60 ml/min/1.73 m<sup>2</sup> (<xref ref-type="bibr" rid="B166">166</xref>, <xref ref-type="bibr" rid="B176">176</xref>).</p>
</sec>
<sec id="s5">
<title>Future Perspectives</title>
<p>Great research progress in understanding the pathogenesis of tubular damage and novel biomarkers and treatments has been made, promoting us the transition into a new era of personalized diagnosis and therapy in DKD. As a complex and major complication of metabolism disease, diabetic tubular dysfunction should be regarded with close interconnection with glomerular changes and compact interrelation with systemic metabolic changes. The major current challenges in discovered biomarkers in DKD include the integration of clinical and biochemical biomarkers and omic biomarkers and translation into the pathophysiology, differential diagnosis, risk stratification, prognosis, and individual therapy in clinical practice. The ongoing progress with new anti-hyperglycemic agents provides invaluable and novel insights into the pathophysiology and potential biomarkers of renal tubules in DKD, the combination of which will shed light on better clinical management of DKD.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>SD drafted the manuscript, designed the figures and tables. FL and DS corrected the figures and tables. CZ and BZ reviewed the draft. CX was responsible for the final substance. YY was the guarantor and supervised the review and edited the review. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by grants from the National Natural Science Foundation of China (No. 81870469, 81670628, 81300573), the Natural Science Foundation of Jiangsu Province (No. BK20131030 to Yanggang Yuan, BK20191075 to Suyan Duan), the China Scholarship Council (CSC, File No. 201608320124), Chinese Society of Nephrology (17010060675 to Yanggang Yuan, 17010090678 to Suyan Duan), the Clinic Research Center of Jiangsu Province (No. BL2014080) and the Priority Academic Program Development of Jiangsu Higher Education Institutions.</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<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>
</body>
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