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<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1349069</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2024.1349069</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Emerging role of antidiabetic drugs in cardiorenal protection</article-title>
<alt-title alt-title-type="left-running-head">Fu 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/fphar.2024.1349069">10.3389/fphar.2024.1349069</ext-link>
</alt-title>
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<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Fu</surname>
<given-names>Wen-Jia</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<name>
<surname>Huo</surname>
<given-names>Jin-Ling</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Mao</surname>
<given-names>Zi-Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Pan</surname>
<given-names>Shao-Kang</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="aff" rid="aff3">
<sup>3</sup>
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<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Dong-Wei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<sup>3</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Zhang-Suo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wu</surname>
<given-names>Peng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gao</surname>
<given-names>Zhong-Xiuzi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<sup>3</sup>
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<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Traditional Chinese Medicine Integrated Department of Nephrology</institution>, <institution>The First Affiliated Hospital of Zhengzhou University</institution>, <addr-line>Zhengzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Nephrology</institution>, <institution>Zhengzhou University</institution>, <addr-line>Zhengzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Henan Province Research Center for Kidney Disease</institution>, <addr-line>Zhengzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province</institution>, <addr-line>Zhengzhou</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/623763/overview">Maria Consiglia Trotta</ext-link>, University of Campania Luigi Vanvitelli, Italy</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/1174066/overview">Aikaterini Andreadi</ext-link>, University of Rome Tor Vergata, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2032481/overview">Maria Antonietta Riemma</ext-link>, University of Campania Luigi Vanvitelli, Italy</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Zhong-Xiuzi Gao, <email>gaozhongxiuzi@zzu.edu.cn</email>; Peng Wu, <email>wupengcg@zzu.edu.cn</email>; Zhang-Suo Liu, <email>zhangsuoliu@zzu.edu.cn</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1349069</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>12</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Fu, Huo, Mao, Pan, Liu, Liu, Wu and Gao.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Fu, Huo, Mao, Pan, Liu, Liu, Wu and Gao</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>The global prevalence of diabetes mellitus (DM) has led to widespread multi-system damage, especially in cardiovascular and renal functions, heightening morbidity and mortality. Emerging antidiabetic drugs sodium-glucose cotransporter 2 inhibitors (SGLT2i), glucagon-like peptide-1 receptor agonists (GLP-1RAs), and dipeptidyl peptidase-4 inhibitors (DPP-4i) have demonstrated efficacy in preserving cardiac and renal function, both in type 2 diabetic and non-diabetic individuals. To understand the exact impact of these drugs on cardiorenal protection and underlying mechanisms, we conducted a comprehensive review of recent large-scale clinical trials and basic research focusing on SGLT2i, GLP-1RAs, and DPP-4i. Accumulating evidence highlights the diverse mechanisms including glucose-dependent and independent pathways, and revealing their potential cardiorenal protection in diabetic and non-diabetic cardiorenal disease. This review provides critical insights into the cardiorenal protective effects of SGLT2i, GLP-1RAs, and DPP-4i and underscores the importance of these medications in mitigating the progression of cardiovascular and renal complications, and their broader clinical implications beyond glycemic management.</p>
</abstract>
<kwd-group>
<kwd>diabetes mellitus</kwd>
<kwd>cardiorenal protection</kwd>
<kwd>SGLT2 inhibitors</kwd>
<kwd>GLP-1 receptor agonists</kwd>
<kwd>DPP-4 inhibitors</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cardiovascular and Smooth Muscle Pharmacology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>1 Introduction</title>
<p>Diabetes mellitus (DM) is the most common metabolic disorder worldwide. It is reported that the prevalence of diabetes will increase to 12.2% (789.2 million) by 2045 (<xref ref-type="bibr" rid="B123">Sun et al., 2022</xref>). Type 2 diabetes mellitus (T2DM) is particularly prone to a range of complications, including macrovascular disease (cardiovascular and cerebrovascular disease), which is mainly characterized by atherosclerosis of large blood vessels, as well as microvascular disease (diabetic retinopathy and diabetic kidney disease), which often manifests as microvascular endothelial dysfunction and microthrombosis (<xref ref-type="bibr" rid="B71">Li et al., 2023</xref>; <xref ref-type="bibr" rid="B82">Mauricio et al., 2023</xref>). The driving factors for cardiovascular complications in diabetic patients including glucotoxicity, lipotoxicity, and hypertension (<xref ref-type="bibr" rid="B62">Kenny and Abel, 2019</xref>). Meanwhile, diabetic kidney disease (DKD) is the most common cause of death among microvascular complications of diabetes and is closely associated with cardiovascular outcomes (<xref ref-type="bibr" rid="B12">Blazek and Bakris, 2023</xref>). Currently, there has been a paradigm shift in the management of diabetes and its complications, with a focus on not only controlling blood glucose levels but also addressing the associated cardiovascular and renal risks.</p>
<p>In recent years, new classes of anti-diabetic medications such as sodium-glucose cotransporter 2 inhibitors (SGLT2i), glucagon-like peptide-1 receptor agonists (GLP-1RAs), and dipeptidyl peptidase-4 inhibitors (DPP-4i), have shown efficacy in reducing cardiovascular events, slowing the progression of DKD, and improving overall cardiovascular and renal health in diabetic patients (<xref ref-type="bibr" rid="B143">Yin et al., 2022</xref>; <xref ref-type="bibr" rid="B38">Guo et al., 2023</xref>; <xref ref-type="bibr" rid="B64">Klen and Dol&#x17e;an, 2023</xref>; <xref ref-type="bibr" rid="B99">Panico et al., 2023</xref>). More importantly, these medications exhibit cardiorenal protective effects beyond glycemic control and have the potential to ameliorate non-diabetic cardiovascular and renal diseases.</p>
<p>Research have shown that these three classes of drugs can reduce oxidative stress and inflammation through various mechanisms, including reducing cell damage caused by advanced glycation end products, improving mitochondrial function, and inhibiting the production of reactive oxygen species. This suggests that these medications may have therapeutic potential beyond lowering glucose levels (<xref ref-type="bibr" rid="B4">Andreadi et al., 2023</xref>; <xref ref-type="bibr" rid="B9">Balogh et al., 2023</xref>). Understanding the mechanisms of these drugs is crucial for developing targeted therapies and improving the quality of life for millions of individuals affected by diabetes-related complications.</p>
</sec>
<sec id="s2">
<title>2 Emerging antidiabetic drugs</title>
<sec id="s2-1">
<title>2.1 SGLT2i</title>
<p>Sodium-glucose cotransporter 2 (SGLT2) is located in the proximal tubules of the kidney and is responsible for reabsorbing 80%&#x2013;90% of urine glucose. Studies have shown that SGLT2 expression is upregulated in the tubular tissues of T2DM and type 1 diabetes mellitus (T1DM) patients (<xref ref-type="bibr" rid="B108">Rahmoune et al., 2005</xref>). SGLT2i reduce glucose reabsorption by inhibiting this protein. Interestingly, this effect is independent of insulin secretion and &#x3b2;-cell function, largely reducing the burden on &#x3b2;-cells and the risk of hypoglycemia (<xref ref-type="bibr" rid="B1">Abdul-Ghani et al., 2013</xref>). The reduced glucose reabsorption also results in less fluid retention and better control of overweight and hypertension, which often accompany T2DM. Over the past decade, SGLT2i have become a hot topic in scientific and clinical research and a breakthrough in the field of new hypoglycemic agents because of their unique therapeutic effect on diabetes. Representative drugs include empagliflozin, canagliflozin, dapagliflozin, sotagliflozin, ertugliflozin, etc.</p>
</sec>
<sec id="s2-2">
<title>2.2 GLP-1RAs</title>
<p>Glucagon-like peptide-1 (GLP-1) is an incretin hormone that is secreted in large amounts by L cells located in the intestinal crypt when the intestine is stimulated by nutrients (<xref ref-type="bibr" rid="B90">M&#xfc;ller et al., 2019</xref>). The action of GLP-1 depends on the location of its receptors. GLP-1 receptors belong to the G protein-coupled receptors family and are widely distributed in various tissues of the body. In pancreatic &#x3b1; cells, GLP-1 can reduce the secretion of glucagon, while in &#x3b2; cells, it can increase the secretion of insulin, improve the body&#x2019;s insulin sensitivity, and even promote the proliferation of &#x3b2; cells (<xref ref-type="bibr" rid="B35">Graaf et al., 2016</xref>). What&#x2019;s more, GLP-1, which is located in the brain, suppresses appetite and reduces food intake, leading to weight loss, which is as important as glycemic control in patients with T2DM (<xref ref-type="bibr" rid="B7">Baggio and Drucker, 2014</xref>). GLP-1RAs are a new class of antidiabetic drugs that were first approved for the treatment of diabetes in 2005. The representative drugs are exenatide, dulaglutide, liraglutide, and semaglutide.</p>
</sec>
<sec id="s2-3">
<title>2.3 DPP-4i</title>
<p>Dipeptidyl peptidase-4 (DPP-4) is an enzyme that can rapidly cleave GLP-1, which is a hormone with a very short half-life (<xref ref-type="bibr" rid="B126">Tsch&#xf6;p et al., 2023</xref>). DPP-4i can effectively prolong the half-life of GLP-1, increase insulin in the body, and reduce blood glucose over a long period (<xref ref-type="bibr" rid="B16">Capuano et al., 2013</xref>). The representative drugs are sitagliptin, linagliptin, and saxagliptin.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Cardiorenal protection of SGLT2i, GLP-1RAs, and DPP-4i</title>
<p>The American Diabetes Association (ADA) recommends that SGLT2i and GLP-1RAs be used in combination with metformin as first-line initial therapy in patients at high risk of heart failure (HF), atherosclerotic cardiovascular disease (ASCVD), and chronic kidney disease (CKD). In patients with T2DM, GLP-1RAs are even more effective than insulin in some cases. For patients with established ASCVD, SGLT2i and GLP-1RAs can be used as additional agents alone, independent of metformin (<xref ref-type="bibr" rid="B22">Committee ADAPP, 2022b</xref>). Compared with the former two agents, DPP-4i are slightly inferior, and studies on cardiac and renal outcomes are limited. DPP-4i can be considered in patients with GLP-1RAs intolerance. Furthermore, the ADA also states that SGLT2i should be administered as early as possible in patients with stage CKD2 or worse, regardless of blood glucose. GLP-1RAs are principally used to delay cardiovascular disease, which may also delay CKD progression (<xref ref-type="bibr" rid="B21">Committee ADAPP, 2022a</xref>).</p>
<p>Similarly, the 2022 Kidney Disease: Improving Global Outcomes (KDIGO) guidelines also recommend SGLT2i therapy in patients with T2DM and CKD. Long-acting GLP-1RAs are recommended when ideal glycemic targets are not achieved with the combination of metformin and SGLT2i. Notably, when GLP-1RAs combined with insulin or sulfonylureas, reduced dose of these drugs is recommended to avoid hypoglycemia. Some DPP-4i, such as saxagliptin and sitagliptin, are accessible to patients with an estimated glomerular filtration rate (eGFR) of less than 30&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> or who are receiving dialysis, and offer a viable alternative for individuals who are not utilizing GLP-1RAs (<xref ref-type="bibr" rid="B25">de Boer et al., 2022</xref>).</p>
<p>In general, SGLT2i and GLP-1RAs have significant beneficial effects on renal and cardiac outcomes, while the cardiorenal protective effect of DPP-4i needs to be further explored and clarified. We reviewed the real-world clinical data and the literature on potential mechanisms to gain insight into the pleiotropic effects of emerging antidiabetic agents.</p>
<sec id="s3-1">
<title>3.1 Cardiovascular protection</title>
<sec id="s3-1-1">
<title>3.1.1 SGLT2i</title>
<sec id="s3-1-1-1">
<title>3.1.1.1 Clinical trial</title>
<p>SGLT2i have demonstrated superiority over placebo in most cardiovascular outcome trials. In 2019, the DAPA-HF trial, which recruited 4744 patients with HF and reduced ejection fraction, indicated that once-daily dapagliflozin (10&#xa0;mg) lowered the risk of composite cardiovascular outcomes when compared to placebo (HR, 0.74 [95% CI, 0.65 to 0.85]; <italic>p</italic> &#x3c; 0.001) (<xref ref-type="table" rid="T1">Table 1</xref>) (<xref ref-type="bibr" rid="B86">McMurray et al., 2019</xref>). Furthermore, in a 2022 trial, dapagliflozin exhibited significant cardioprotective effects (DELIVER) on patients with HF with mild reduced ejection fraction or preserved left ventricular ejection fraction (&#x3e;40%) (HR, 0.82 [95% CI, 0.73 to 0.92]; <italic>p</italic> &#x3c; 0.001) (<xref ref-type="bibr" rid="B120">Solomon et al., 2022</xref>). These results are consistent with those of the empagliflozin and ertugliflozin outcomes trials in HF with a preserved ejection fraction (EMPEROR-Preserved trial, MK-8835-004 trial) (<xref ref-type="bibr" rid="B15">Cannon et al., 2020</xref>; <xref ref-type="bibr" rid="B5">Anker et al., 2021</xref>). However, the protective effect of SGLT2i appeared to vary based on gender; a study from Australia indicates that older men with baseline HF benefit more from SGLT2i than women (subdistribution HR, 0.78 [95% CI, 0.66 to 0.93] for men; subdistribution HR, 0.99 [95% CI, 0.77 to 1.28] for women). On the contrary, SGLT2i were observed to improve the outcomes of women with baseline ASCVD (subdistribution HR, 0.98 [95% CI, 0.74 to 0.73] for men; subdistribution HR, 0.36 [95% CI, 0.18 to 0.71] for women) (<xref ref-type="bibr" rid="B119">Sharma et al., 2023</xref>). In another study, the effect of canagliflozin on cardiovascular events did not differ by age or sex (HR, 0.71 [95% CI, 0.54 to 0.95] for women; HR, 0.69 [95% CI, 0.56 to 0.84] for men; <italic>p</italic> &#x3d; 0.8 for interaction) (<xref ref-type="bibr" rid="B142">Yi et al., 2023</xref>). The disparate findings of these two reports are intriguing. The absence of beneficial effects of SGLT2i in women with baseline HF may, in part, be attributed to the limited number of women in this specific subgroup. Notably, given the age-related increase in cardiovascular disease (CVD) risk in both genders, particularly among post-menopausal women (<xref ref-type="bibr" rid="B147">Zhao et al., 2018</xref>), further investigations focusing on sex differences and involving a substantial number of patients are warranted to ascertain the potential sex-specific benefits of SGLT2i and elucidate the mechanisms involved. In addition, SGLT2i also have a significant advantage in acute HF, suggesting a lower risk of hospitalization (<xref ref-type="bibr" rid="B100">Park et al., 2023</xref>). Sotagliflozin has been shown to significantly reduce cardiovascular death-related events in T2DM patients with recent worsening HF (HR, 0.67 [95% CI, 0.52 to 0.85]; <italic>p</italic> &#x3c; 0.001) (SOLOIST-WHF trial) (<xref ref-type="bibr" rid="B10">Bhatt et al., 2021</xref>). Empagliflozin was also associated with a greater reduction in the rate of worsening HF events (HR, 1.36 [95% CI, 1.09 to 1.68]; <italic>p</italic> &#x3d; 0.0054) (EMPULSE trial) (<xref ref-type="bibr" rid="B128">Voors et al., 2022</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Summary of CV outcome-related trials using SGLT2i, GLP-1RAs, DPP-4i.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Trial</th>
<th align="left">Drug</th>
<th align="left">Study design</th>
<th align="left">Patient characteristics</th>
<th align="left">Treatment dose (median duration)</th>
<th align="left">Primary CV outcome</th>
<th align="left">HR (95%CI), <italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">DAPA-HF (<xref ref-type="bibr" rid="B86">McMurray et al., 2019</xref>)</td>
<td align="left">Dapagliflozin</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">Aged&#x3e;18, NYHA class II, III, or IV symptoms, EF of 40% or less (with or without T2D) (N &#x3d; 4744)</td>
<td align="left">10&#xa0;mg/d (18 months)</td>
<td align="left">a composite of worsening HF or death from CV causes</td>
<td align="left">0.74 (0.65&#x2013;0.85) <italic>p</italic> &#x3c; 0.001</td>
</tr>
<tr>
<td align="left">DELIVER (<xref ref-type="bibr" rid="B120">Solomon et al., 2022</xref>)</td>
<td align="left">Dapagliflozin</td>
<td align="left">phase 3, double-blind, randomized, controlled trial</td>
<td align="left">Aged&#x3e;40, HF and a LVEF of more than 40% (with or without T2D) (N &#x3d; 6263)</td>
<td align="left">10&#xa0;mg/d (2.3 years)</td>
<td align="left">worsening HF or CV death</td>
<td align="left">0.82 (0.73&#x2013;0.92) <italic>p</italic> &#x3c; 0.001</td>
</tr>
<tr>
<td align="left">DECLARE-TIMI 58 (<xref ref-type="bibr" rid="B135">Wiviott et al., 2019</xref>)</td>
<td align="left">Dapagliflozin</td>
<td align="left">phase 3, double-blind, randomized, controlled trial</td>
<td align="left">Aged&#x3e;40, T2D, eGFR &#x2265;60&#xa0;mL/min also had multiple risk factors for ASCVD or had established ASCVD (N &#x3d; 17160)</td>
<td align="left">10&#xa0;mg/d (4.2 years)</td>
<td align="left">MACE (defined as CV death, myocardial infarction, or ischemic stroke). Efficacy outcomes were MACE and a composite of CV death or hospitalization for HF</td>
<td align="left">95%CI &#x3c; 1.3; <italic>p</italic> &#x3c; 0.001 for noninferiority, 0.83 (0.73&#x2013;0.95) <italic>p</italic> &#x3d; 0.005 for efficacy</td>
</tr>
<tr>
<td align="left">EMPEROR-Preserved (<xref ref-type="bibr" rid="B5">Anker et al., 2021</xref>)</td>
<td align="left">Empagliflozin</td>
<td align="left">randomized, double-blind, placebo-controlled, event-driven trial</td>
<td align="left">Aged&#x3e;18, II&#x2013;IV HF and an EF &#x2265; 40%, NT-proBNP &#x2265;300&#xa0;pg/mL (with or without T2D) (N &#x3d; 5988)</td>
<td align="left">10&#xa0;mg/d (26.2 months)</td>
<td align="left">a composite of CV death or hospitalization for HF</td>
<td align="left">0.79 (0.69&#x2013;0.90), <italic>p</italic> &#x3c; 0.001</td>
</tr>
<tr>
<td align="left">MK-8835-004 (<xref ref-type="bibr" rid="B15">Cannon et al., 2020</xref>)</td>
<td align="left">Ertugliflozin</td>
<td align="left">double-blind, randomized, placebo-controlled, noninferiority trial</td>
<td align="left">Aged&#x3e;40, T2D and established ASCVD (N &#x3d; 8246)</td>
<td align="left">5 or 15&#xa0;mg/d (3.1 years)</td>
<td align="left">MACE (a composite of death from CV causes, nonfatal myocardial infarction, or nonfatal stroke)</td>
<td align="left">0.97 (0.85&#x2013;1.11), <italic>p</italic> &#x3c; 0.001 for noninferiority</td>
</tr>
<tr>
<td align="left">SOLOIST-WHF (<xref ref-type="bibr" rid="B10">Bhatt et al., 2021</xref>)</td>
<td align="left">Sotagliflozin</td>
<td align="left">phase 3, double-blind, randomized, placebo-controlled trial</td>
<td align="left">aged 18 to 85, T2D and had been hospitalized because of the presence of signs and symptoms of HF and received treatment with intravenous diuretic therapy (N &#x3d; 1222)</td>
<td align="left">200&#xa0;mg/d (9.2 months)</td>
<td align="left">the total number of deaths from cardiovascular causes and hospitalizations and urgent visits for HF (first and subsequent events)</td>
<td align="left">0.67 (0.52&#x2013;0.85), <italic>p</italic> &#x3c; 0.001</td>
</tr>
<tr>
<td align="left">EMPULSE (<xref ref-type="bibr" rid="B128">Voors et al., 2022</xref>)</td>
<td align="left">Empagliflozin</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">with a primary diagnosis of acute denovo or decompensated CHF regardless of LVEF (N &#x3d; 530)</td>
<td align="left">10&#xa0;mg/d (3&#x2013;90 days)</td>
<td align="left">clinical benefit, defined as a hierarchical composite of death from any cause, number of HF events and time to first HF event, or a 5&#x2009;point or greater difference in change from baseline in the KCCQ-TSS at 90&#x2009;days</td>
<td align="left">stratified win ratio, 1.36 (1.09&#x2013;1.68), <italic>p</italic> &#x3d; 0.0054</td>
</tr>
<tr>
<td align="left">ELIXA (<xref ref-type="bibr" rid="B104">Pfeffer et al., 2015</xref>)</td>
<td align="left">Lixisenatide</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">had T2D and had an acute coronary event within 180 days before screening (N &#x3d; 6068)</td>
<td align="left">10&#x3bc;g&#x2013;20&#xa0;&#x3bc;g/d (s.c) (25 months)</td>
<td align="left">death from CV causes, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina</td>
<td align="left">1.02 (0.89&#x2013;1.17), <italic>p</italic> &#x3c; 0.001 for noninferiority, <italic>p</italic> &#x3d; 0.81 for surperiority</td>
</tr>
<tr>
<td align="left">LEADER (<xref ref-type="bibr" rid="B81">Marso et al., 2016a</xref>)</td>
<td align="left">Liraglutide</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">T2D, aged&#x2265;50 (at least one CV condition) or aged&#x2265;60 (at least one CV risk factor) (N &#x3d; 9340)</td>
<td align="left">1.8&#xa0;mg/d (s.c.) (3.5 years)</td>
<td align="left">the first occurrence of death from CV causes, nonfatal (including silent) myocardial infarction, or nonfatal stroke</td>
<td align="left">0.87 (0.78&#x2013;0.97), <italic>p</italic> &#x3c; 0.001 for noninferiority; <italic>p</italic> &#x3d; 0.01 for superiority</td>
</tr>
<tr>
<td align="left">SUSTAIN-6 (<xref ref-type="bibr" rid="B80">Marso et al., 2016b</xref>)</td>
<td align="left">Semaglutide</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">T2D, aged&#x2265;50 (established CVD, CHF, or CKD of stage 3 or higher) or aged&#x2265;60 (at least one CV risk factor (N &#x3d; 3297)</td>
<td align="left">0.5/1.0&#xa0;mg/(s.c.) (2.1 years)</td>
<td align="left">the first occurrence of death from CV causes, nonfatal myocardial infarction (including silent), or nonfatal stroke</td>
<td align="left">0.74 (0.58&#x2013;0.95), <italic>p</italic> &#x3c; 0.001 for noninferiority; <italic>p</italic> &#x3d; 0.02 for superiority</td>
</tr>
<tr>
<td align="left">PIONEER6 (<xref ref-type="bibr" rid="B51">Husain et al., 2019</xref>)</td>
<td align="left">Semaglutide</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">T2D, aged&#x2265;50 (established CVD, CHF, or CKD of stage 3 or higher) or aged&#x2265;60 (at least one CV risk factor) (N &#x3d; 3183)</td>
<td align="left">14&#xa0;mg/d (oral) (15.9 months)</td>
<td align="left">the first occurrence of MACE, a composite of death from CV causes, nonfatal myocardial infarction, or nonfatal stroke</td>
<td align="left">0.79 (0.57&#x2013;1.11), <italic>p</italic> &#x3c; 0.001 for noninferiority</td>
</tr>
<tr>
<td align="left">EXSCEL (<xref ref-type="bibr" rid="B49">Holman et al., 2017</xref>)</td>
<td align="left">Exenatide</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">T2D, had previous CV events (70%), would not have had previous CV events (30%) (N &#x3d; 14752)</td>
<td align="left">2&#xa0;mg once weekly (s.c.) (3.2 years)</td>
<td align="left">first occurrence of any composite outcome of death from CV causes, nonfatal myocardial infarction, or nonfatal stroke</td>
<td align="left">0.91 (0.83&#x2013;1.00), <italic>p</italic> &#x3c; 0.001 for noninferiority, <italic>p</italic> &#x3d; 0.06 for superiority</td>
</tr>
<tr>
<td align="left">Harmony Outcomes (<xref ref-type="bibr" rid="B47">Hernandez et al., 2018</xref>)</td>
<td align="left">Albiglutide</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">T2D, &#x2265;40, established disease of the coronary, cerebrovascular, or peripheral arterial circulation (N &#x3d; 9463)</td>
<td align="left">30&#x2013;50&#xa0;mg once weekly (s.c.) (1.5 years)</td>
<td align="left">the first occurrence of cardiovascular death, myocardial infarction, or stroke</td>
<td align="left">0&#xb7;78 (0&#xb7;68&#x2013;0&#xb7;90), <italic>p</italic> &#x3c; 0&#xb7;0001 for noninferiority, <italic>p</italic> &#x3d; 0&#xb7;0006 for superiority</td>
</tr>
<tr>
<td align="left">REWIND (<xref ref-type="bibr" rid="B33">Gerstein et al., 2019</xref>)</td>
<td align="left">Dulaglutide</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">T2D, aged&#x2265;50 had to have vascular disease; aged&#x2265;55 had to have MI, or lower extremity artery stenosis exceeding 50%, LVH, eGFR &#x3c;60&#xa0;mL/min/1.73m<sup>2</sup>, aged&#x2265;60 had to have at least two of tobacco use, dyslipidaemia (N &#x3d; 9901)</td>
<td align="left">1.5&#xa0;mg once weekly (s.c.) (5.4 years)</td>
<td align="left">the first occurrence of any component of the composite outcome, which comprised non-fatal myocardial infarction, non-fatal stroke, and death from cardiovascular causes or unknown causes</td>
<td align="left">0.88 (0&#xb7;79 to 0&#xb7;99), <italic>p</italic> &#x3d; 0&#xb7;026</td>
</tr>
<tr>
<td align="left">EXAMINE (<xref ref-type="bibr" rid="B133">White et al., 2013</xref>)</td>
<td align="left">Alogliptin</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">T2D and had had an acute coronary syndrome within 15&#x2013;90 days before randomization (N &#x3d; 5380)</td>
<td align="left">6.25&#x2013;25&#xa0;mg/d (533 days)<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="left">a composite of death from CV causes, nonfatal myocardial infarction, or nonfatal stroke</td>
<td align="left">0.96 (&#x2264;1.16), <italic>p</italic> &#x3c; 0.001 for noninferiority <italic>p</italic> &#x3d; 0.32 for superiority</td>
</tr>
<tr>
<td align="left">SAVOR-TIMI53 (<xref ref-type="bibr" rid="B114">Scirica et al., 2013</xref>)</td>
<td align="left">Saxagliptin</td>
<td align="left">phase 4, double-blind, randomized, placebo-controlled trial</td>
<td align="left">T2D, &#x2265;55 (men); &#x2265;60 (women)and either a history of established CVD or multiple risk factors for vascular disease (N &#x3d; 16492)</td>
<td align="left">5&#xa0;mg/d (2.1 years)</td>
<td align="left">a composite of CV death, nonfatal myocardial infarction, or nonfatal ischemic stroke</td>
<td align="left">1.00 (0.89&#x2013;1.12), <italic>p</italic> &#x3d; 0.99 for superiority, <italic>p</italic> &#x3c; 0.001 for noninferiority</td>
</tr>
<tr>
<td align="left">TECOS (<xref ref-type="bibr" rid="B36">Green et al., 2015</xref>)</td>
<td align="left">Sitagliptin</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">T2D with established CVD and were aged&#x2265;50 when treated with stable oral anti-hyperglycemic agents or insulin (N &#x3d; 14671)</td>
<td align="left">50&#x2013;100&#xa0;mg/d (3.3 years)<sup>&#x23;</sup>
</td>
<td align="left">a composite of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina</td>
<td align="left">0.98 (0.88&#x2013;1.09), <italic>p</italic> &#x3c; 0.001 for noninferiority, <italic>p</italic> &#x3d; 0.65 for superiority</td>
</tr>
<tr>
<td align="left">CARMELINA (<xref ref-type="bibr" rid="B111">Rosenstock et al., 2019</xref>)</td>
<td align="left">Linagliptin</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">T2D, HbA1c values of 6.5%&#x2013;10.0% inclusive, and high cardiovascular and renal risk (N &#x3d; 6979)</td>
<td align="left">5&#xa0;mg/d (oral) (2.2 years)</td>
<td align="left">the time to first occurrence of CV death, nonfatal myocardial infarction, or nonfatal stroke</td>
<td align="left">1.02 (0.89&#x2013;1.17), <italic>p</italic> &#x3c; .001 for noninferiority, <italic>p</italic> &#x3d; 0.74 for superiority</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>EF: ejection fraction, LVEF: left ventricular ejection fraction, HbA1c: Hemoglobin A1c, CHF: chronic heart failure, LVH: left ventricular hypertrophy, MI: myocardial ischaemia, KCCQ-TSS: kansas city cardiomyopathy questionnaire total symptom score, ASCVD: atherosclerotic cardiovascular disease, CVD: cardiovascular disease, MACE: major adverse cardiovascular events, HF: heart failure, CV: cardiovascular, NYHA: new york heart association, T2D: Type 2 Diabetes.</p>
</fn>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>25&#xa0;mg/d for GFR&#x2265;60&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>, 125&#xa0;mg for GFR, of 30&#x2013;60&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>, 625&#xa0;mg for GFR &#x2264;30&#xa0;mL/min/1,73&#xa0;m<sup>2</sup>; &#x23; 50&#xa0;mg/d for eGFR, was &#x2265;30 and &#x3c;50&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-1-1-2">
<title>3.1.1.2 Basic research</title>
<p>SGLT2i exhibit superior efficacy in improving cardiovascular diseases, regardless of the presence of diabetes. <italic>In vivo</italic> experiments revealed that dapagliflozin reduced interleukin (IL)-1&#x3b2; expression and can downregulate the activity of [Na<sup>&#x2b;</sup>] and [Ca<sup>2&#x2b;</sup>]-related ion channels to alleviate mitochondrial reactive oxygen species, thereby improving angiotensin &#x2161; (Ang &#x2161;)-induced diabetic cardiomyopathy in <italic>db/db</italic> mice (<xref ref-type="table" rid="T3">Table 3</xref>) (<xref ref-type="bibr" rid="B6">Arow et al., 2020</xref>). Consistently, an <italic>in vivo</italic> study focusing on diabetic cardiomyopathy in T1DM rats revealed that dapagliflozin markedly reduced oxidative stress (<xref ref-type="bibr" rid="B110">Rosa et al., 2022</xref>). Notably, SGLT2i can restore and maintain sinus rhythm after ablation of atrial fibrillation in T2DM patients (<xref ref-type="bibr" rid="B2">Abu-Qaoud et al., 2023</xref>). Interestingly, empagliflozin was found to block the binding of CpG islands in the promoter regions of nuclear factor kappa-B (NF-&#x3ba;B) and superoxide dismutase 2 (SOD2) to ten-eleven translocation (TET2) in cardiomyocytes under high glucose conditions, preventing gene demethylation and alleviating myocardial injury (<xref ref-type="bibr" rid="B115">Scisciola et al., 2023</xref>).</p>
<p>In addition to their protective effect against diabetes-induced cardiomyopathy, SGLT2i also have a beneficial effect on other cardiovascular diseases, including ASCVD, which is primarily caused by hypertension-induced inflammation. SGLT2 receptor expression is present in macrophages, which are major players in the inflammatory response. Adenosine 5&#x2032;-monophosphate-activated protein kinase (AMPK) is a key energy regulator that inhibits the pro-inflammatory effects of macrophages (<xref ref-type="bibr" rid="B96">Packer, 2020a</xref>; <xref ref-type="bibr" rid="B53">Jansen et al., 2020</xref>). In an atherosclerosis model characterized by a high-fat diet, empagliflozin inhibited NF-&#x3ba;B expression in plaque and reduced the viability of macrophages in <italic>Apoe</italic>
<sup>
<italic>&#x2212;/&#x2212;</italic>
</sup> mice. Most importantly, it was able to restore p-AMPK expression in macrophages (<xref ref-type="bibr" rid="B31">Fu et al., 2022</xref>). Heme oxygenase-1 (HO-1) can protect the cardiovascular system by increasing the bioavailability of NO in endothelial cells. Canagliflozin can increase the expression of HO-1 in endothelial cells and attenuate the adhesion of monocytes to endothelial cells (<xref ref-type="bibr" rid="B103">Peyton et al., 2022</xref>). Vascular calcification is a common pathological process in ASCVD. Chen <italic>et al.</italic> demonstrated for the first time that canagliflozin could reduce vascular smooth muscle cells (VSMCs) calcification by down-regulating the expression of NOD-like receptor thermal protein domain associated protein 3 (NLRP3) (<xref ref-type="bibr" rid="B18">Chen et al., 2023</xref>). There are many ion channels in cardiomyocytes, such as Na<sup>&#x2b;</sup>/H<sup>&#x2b;</sup> exchanger 1 (NHE1) and Na<sup>&#x2b;</sup>/Ca<sup>2&#x2b;</sup> exchanger (NCX). Pathological conditions that lead to excessive activation or inhibition of ion channels significantly impact the systolic and diastolic movements of the heart. Various hormones (Ang &#x2161;, aldosterone) released during HF or myocardial ischemia (MI) can activate NHE1, inhibit NCX, and lead to intracellular calcium overload, which in turn activates NHE1 and exacerbates calcium overload (<xref ref-type="fig" rid="F1">Figure 1A</xref>) (<xref ref-type="bibr" rid="B63">Kim et al., 2017</xref>). Studies have shown that dapagliflozin, empagliflozin, and canagliflozin can inhibit NHE1 to improve endothelial permeability induced by mechanical stretch (<xref ref-type="bibr" rid="B70">Li X. et al., 2021</xref>). These studies confirmed that SGLT2i can protect both static and dynamic endothelial cell function (<xref ref-type="bibr" rid="B57">Juni et al., 2021</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Mechanisms underlying the cardiorenal effects of SGLT2 inhibitors. <bold>(A)</bold> for heart; <bold>(B)</bold> for kidney. AMPK: adenosine monophosphate-activated protein kinase, TLR4: Toll-like receptor 4, MyD88: myeloid differentiation factor 88, NF-&#x3ba;B: nuclear factor-&#x3ba;B, PLC: phospholipase C, IP<sub>3</sub>: inositol 1,4,5-triphosphate, IP<sub>3</sub>R: inositol 1,4,5-triphosphate receptor, SERCA: sarcoplasmic reticulum Ca<sup>2&#x2b;</sup>-ATPase, MAPK: mitogen-acticated protein kinase, AP-1: activator protein-1, Nrf2: nuclear factor erythroid2-related factor 2, SIRT1: sirtuin 1, PI3K: phosphatidylinositol 3-kinase, mTOR: mammalian target of rapamycin, GSK3&#x3b2;: glycogen synthase kinase 3&#x3b2;, HIF-1&#x3b1;: hypoxia-inducible factor 1-alpha, TCR: T cell receptor, CTGF: connective tissue growth factor, YAP: yes associated protein 1, TAZ: transcriptional coactivator PDZ-binding motif, RTK: receptor tyrosine kinase, NOQ1: NADH dehydrogenase quinone 1, SOD2: superoxide dismutase 2.</p>
</caption>
<graphic xlink:href="fphar-15-1349069-g001.tif"/>
</fig>
<p>Notably, dapagliflozin also inhibits the mitogen-acticated protein kinase/activator protein-1 (MAPK/AP-1) pathway in an NHE1-dependent way to alleviate obesity-induced myocardial inflammation (<xref ref-type="bibr" rid="B73">Lin et al., 2022</xref>). Similarly, empagliflozin can improve myocardial injury in obese mice by regulating the AMPK/mammalian target of rapamycin (mTOR) pathway to maintain redox balance (<xref ref-type="bibr" rid="B124">Sun et al., 2020</xref>). In addition, empagliflozin also inhibited the overstimulated autophagy in cardiomyocytes by inhibiting the AMPK/glycogen synthase kinase 3&#x3b2; (GSK3&#x3b2;) pathway and NHE1 (<xref ref-type="bibr" rid="B20">Chung et al., 2023</xref>; <xref ref-type="bibr" rid="B77">Madonna et al., 2023</xref>). These findings highlight the multiple mechanisms by which SGLT2i contribute to the reduction of obesity-related myocardial complications.</p>
<p>SGLT2i also offer promising insights into preventing cardiac toxicity associated with antineoplastic agents. For example, dapagliflozin alleviated adriamycin-induced myocardial injury by inhibiting the phosphoinositide 3-kinase (PI3K)/protein kinase B (PKB)/nuclear factor erythroid 2-related factor 2 (Nrf2) pathway (<xref ref-type="bibr" rid="B50">Hsieh et al., 2022</xref>). Empagliflozin could significantly enhance the adriamycin-induced reduction of cardiomyocyte viability and inhibit the expression of NLRP3 and myeloid differentiation factor 88 (MyD88) (<xref ref-type="bibr" rid="B107">Quagliariello et al., 2021</xref>). Furthermore, empagliflozin was found to ameliorate sunitinib- and trastuzumab-induced cardiovascular complications by regulating the AMPK/mTOR pathway and ferroptosis (<xref ref-type="bibr" rid="B109">Ren et al., 2021</xref>; <xref ref-type="bibr" rid="B88">Min et al., 2023</xref>).</p>
<p>In conclusion, the cardiovascular protective effects of SGLT2i in relation to diabetes have been extensively explored. Additionally, SGLT2i have also shown multiple protective mechanisms in animal models of ASCVD, and it has been applied for the treatment of HF (<xref ref-type="bibr" rid="B45">Heidenreich et al., 2022</xref>). However, there is still new potential for clinical translation. SGLT2i have demonstrated remarkable advantages in obesity-related, antibiotic-induced, and antineoplastic drug-induced cardiotoxicity (<xref ref-type="bibr" rid="B109">Ren et al., 2021</xref>; <xref ref-type="bibr" rid="B88">Min et al., 2023</xref>). It is worth noting that although canagliflozin can exhibit anti-inflammatory effects in endothelial cells, recent reports have raised concerns about its specific impact on endothelial cells, which may elevate the risk of amputation (<xref ref-type="bibr" rid="B103">Peyton et al., 2022</xref>). Therefore, establishing SGLT2i as routine therapy for diseases beyond diabetes still has a way to go.</p>
</sec>
</sec>
<sec id="s3-1-2">
<title>3.1.2 GLP-1RAs</title>
<sec id="s3-1-2-1">
<title>3.1.2.1 Clinical trial</title>
<p>Although the previous ELIXA trial did not show superiority of lixisenatide in reducing the rate of major adverse cardiovascular events (MACE) (<xref ref-type="table" rid="T1">Table 1</xref>) (<xref ref-type="bibr" rid="B104">Pfeffer et al., 2015</xref>; <xref ref-type="bibr" rid="B51">Husain et al., 2019</xref>), GLP-1RAs has been gradually shown its advantage in improving cardiovascular outcomes in recent trials. Cardiovascular mortality among patients with T2DM and high cardiovascular risk was found to be lower with liraglutide than with placebo (HR, 0.87 [95% CI, 0.78 to 0.97]; <italic>p</italic> &#x3d; 0.01) (LEADER) (<xref ref-type="bibr" rid="B81">Marso et al., 2016a</xref>). The SUSTAIN-6 trial, which involved 3,297 patients with T2DM and high cardiovascular risk, found that twice-weekly semaglutide significantly reduced the incidence of MACE (HR, 0.74 [95% CI, 0.58 to 0.95]; <italic>p</italic> &#x3d; 0.02) (<xref ref-type="bibr" rid="B80">Marso et al., 2016b</xref>). In the Harmony Outcomes trial, the rate of MACE in T2DM patients with the addition of albiglutide (30&#x2013;50&#xa0;mg once-weekly) was lower than the placebo group (HR, 0.78 [95% CI, 0.68 to 0.90]; <italic>p</italic> &#x3d; 0.0006) (<xref ref-type="bibr" rid="B47">Hernandez et al., 2018</xref>). Lastly, the REWIND trial revealed a reduction in MACE with once-weekly dulaglutide in T2DM patients (HR, 0.88 [95% CI, 0.79 to 0.99]; <italic>p</italic> &#x3d; 0.026) (<xref ref-type="bibr" rid="B33">Gerstein et al., 2019</xref>).</p>
</sec>
<sec id="s3-1-2-2">
<title>3.1.2.2 Basic research</title>
<p>Extensive basic studies overwhelmingly support the observed beneficial effects of GLP-1RAs in clinical trials. Diabetes is often accompanied by lipid metabolism disorders, causing mitochondrial dysfunction. Studies have shown that liraglutide can inhibit the diacylglycerol/protein kinase C (DAG/PKC) pathway by activating AMPK, and upregulate Sirtuin 1 (SIRT1) to inactivate acetyl-CoA carboxylase phosphorylation, thereby reducing lipid-overloaded cardiomyocyte injury in streptozotocin-induced diabetic rats (<xref ref-type="fig" rid="F2">Figure 2A</xref>) (<xref ref-type="table" rid="T3">Table 3</xref>)(<xref ref-type="bibr" rid="B52">Inoue et al., 2015</xref>). Similarly, liraglutide also increased adiponectin secretion and restored peroxisome proliferator-activated receptor gamma coactivator-1&#x3b1; (PGC-1&#x3b1;) expression by upregulating AMPK, which ameliorated IL-1&#x3b2;-induced mitochondrial damage in HL-1 cells (<xref ref-type="bibr" rid="B145">Zhang et al., 2020</xref>). Dulaglutide reduced the expression of NLRP3, IL-1&#x3b2;, and endoplasmic reticulum stress-related proteins induced by high glucose in human umbilical vein endothelial cells (HUVECs) via upregulating SIRT1 (<xref ref-type="bibr" rid="B76">Luo et al., 2019</xref>). Moreover, liraglutide enhanced the angiogenic potential of CD34 hematopoietic stem cells under high glucose conditions by activating the protective PI3K/PKB pathway and stimulating mitochondrial respiration (<xref ref-type="bibr" rid="B116">Sforza et al., 2022</xref>). Exenatide protects against high glucose-induced myocardial injury by inhibiting the NF-&#x3ba;B pathway and reducing the expression of tumor necrosis factor &#x3b1; (TNF-&#x3b1;) and monocyte chemotactic protein-1 (MCP-1) (<xref ref-type="bibr" rid="B32">Fu et al., 2020</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Mechanisms underlying the cardiorenal effects of GLP-1RAs. <bold>(A)</bold> for heart; <bold>(B)</bold> for kidney. GTPCH1: GTPcyclohydrolase &#x2160;, eNOS: endothelial nitric oxide synthase, ERO1&#x3b1;: endoplasmic oxidoreductin 1 like protein, ATF6: activating transcription factor 6, IRE: inositol-requiring enzyme, RyR2: ryanodine receptor 2, DAG: diacylglycerol, PPAR&#x3b1;: peroxisome proliferator-activated receptor &#x3b1;, ATGL: adipose triglyceride lipase, HSL: hormone-sensitive lipase, SREBP-1: sterol regulatory element binding protein-1, FAS: fatty acid synthase, CREB: cAMP-response element binding protein, PGC-1&#x3b1;: peroxisome proliferator-activated receptor gamma coactivator-1alpha, Notch1: Notch homolog 1, Hes-1: hairy and enhancer of split-1, MDA: malondialdehyde. GSH: glutathione. pNOS3: phospho-endothelial nitric oxide, RNS: nitrogen species, APD: action potential duration, HMGB1: high mobility group protein 1, CAT: catalase, HAT: histone acrtyltransferases, LPS: lipopolysaccharide, ACC: acetyl CoA carboxylase.</p>
</caption>
<graphic xlink:href="fphar-15-1349069-g002.tif"/>
</fig>
<p>GLP-1RAs exhibit similar potential to SGLT2i in improving ASCVD. Liraglutide has been shown to attenuate plaque formation in <italic>Apoe</italic>
<sup>
<italic>&#x2212;/&#x2212;</italic>
</sup> mice by inducing cell cycle arrest in VSMCs in an AMPK-dependent or AMPK-independent manner (<xref ref-type="bibr" rid="B55">Jojima et al., 2017</xref>; <xref ref-type="bibr" rid="B66">Koshibu et al., 2019</xref>). Moreover, in the same mouse model, liraglutide was able to induce plaque regression by modulating bone marrow-derived macrophages to convert to anti-inflammatory phenotypes in the established plaque (<xref ref-type="bibr" rid="B13">Bruen et al., 2019</xref>).</p>
<p>GLP-1RAs have also demonstrated their potential in improving various other types of heart disease, including obesity-related, senile, and inflammatory heart disease, as well as improving the function of donor hearts after isolation. For example, liraglutide alleviates vascular inflammation in obesity by upregulating pAMPK expression and promoting Nrf2 nuclear translocation (<xref ref-type="bibr" rid="B74">Liu et al., 2023</xref>). It has also been shown to restore autophagy by inhibiting the mTOR/phosphoprotein 70 ribosomal protein S6 kinase (p70S6K) pathway caused by abdominal aortic coarctation (<xref ref-type="bibr" rid="B150">Zheng et al., 2020</xref>), regulate iNCX, delayed after potassium channel (I<sub>k</sub>) and ryanodine receptor 2 (RyR2) channels in the myocardium, and restore mitochondrial membrane depolarization to protect the aged heart (<xref ref-type="bibr" rid="B27">Durak and Turan, 2023</xref>). Recent studies have also shown that acute administration of exenatide can increase NO to maintain good diastolic function after reperfusion in isolated hearts (<xref ref-type="bibr" rid="B58">Kadowaki et al., 2023</xref>). Furthermore, semaglutide can reduce lipopolysaccharides (LPS)-induced miR-155 secretion from macrophage exosomes to protect endothelial progenitor cell function (<xref ref-type="bibr" rid="B98">Pan et al., 2023</xref>). These findings highlight the multifaceted beneficial effects of GLP-1RAs on the cardiovascular system.</p>
<p>Currently, the superiority of GLP-1RAs in cardiovascular protection is primarily focused on diabetes-related conditions, as demonstrated above. However, recent findings have revealed that apart from their hypoglycemic effects, GLP-1RAs also have therapeutic efficacy in weight loss (<xref ref-type="bibr" rid="B14">Campbell et al., 2023</xref>). Basic research show their potential anti-inflammatory effects in obesity-related heart disease and advantages in ASCVD and aged animal models (<xref ref-type="bibr" rid="B134">Withaar et al., 2023</xref>). Despite the lack of clinical evidence, these findings suggest that GLP-1RAs may be used as a second or third-line therapy for non-diabetes-related cardiovascular diseases in the future.</p>
</sec>
</sec>
<sec id="s3-1-3">
<title>3.1.3 DPP-4i</title>
<sec id="s3-1-3-1">
<title>3.1.3.1 Clinical trial</title>
<p>Most of the cardiovascular outcome trials of DPP-4i have demonstrated cardiovascular safety rather than superiority. The EXAMINE trial, which included 5380 T2DM patients with a recent acute coronary event, showed that the rate of MACE with the addition of alogliptin was not superior to that of placebo (HR, 0.96 [upper boundary of the one-sided repeated CI, 1.16]; <italic>p</italic> &#x3c; 0.001 for non-inferiority) (<xref ref-type="table" rid="T1">Table 1</xref>) (<xref ref-type="bibr" rid="B133">White et al., 2013</xref>). In the SAVOR-TIMI 53 trial, saxagliptin did not increase the rate of MACE in the elderly and very elderly patients (HR, 1.00 [95% CI, 0.89 to 1.12]; <italic>p</italic> &#x3d; 0.99), but saxagliptin was surprisingly associated with an increased risk for HF hospitalization, thus its use requires detailed evaluation (HR, 1.27 [95% CI, 1.07 to 1.51]; <italic>p</italic> &#x3d; 0.007) (<xref ref-type="bibr" rid="B114">Scirica et al., 2013</xref>; <xref ref-type="bibr" rid="B68">Leiter et al., 2015</xref>). The TECOS trial showed that sitagliptin did not increase the rate of MACE and hospitalizations for HF in patients with T2DM, even in high-risk patients (HR, 0.98 [95% CI, 0.88 to 1.09]; <italic>p</italic> &#x3d; 0.65) (<xref ref-type="bibr" rid="B36">Green et al., 2015</xref>; <xref ref-type="bibr" rid="B85">McGuire et al., 2016</xref>). Similarly, sitagliptin was not superior to placebo in terms of efficacy in T2DM patients with ASCVD (<xref ref-type="bibr" rid="B93">Nauck et al., 2019</xref>). The CARMELINA trial indicated that linagliptin added to usual treatment resulted in a non-inferior risk of MACE in T2DM patients with high cardiovascular risk (HR, 1.02 [95% CI, 0.89 to 1.17]; <italic>p</italic> &#x3d; 0.74) (<xref ref-type="bibr" rid="B111">Rosenstock et al., 2019</xref>). However, a trial from Thailand showed that linagliptin was superior in reducing 10-year cardiovascular risk score in patients with a baseline risk greater than 20%, with enhanced outcomes in older patients (<xref ref-type="bibr" rid="B106">Poonchuay et al., 2022</xref>).</p>
</sec>
<sec id="s3-1-3-2">
<title>3.1.3.2 Basic research</title>
<p>While clinical trials have not demonstrated significant advantages of DPP-4i, basic research has revealed their cardioprotective effect. The normal diastolic and systolic functions of the heart depend on the energy provided by a large number of mitochondria and fatty acid oxidation in cardiomyocytes. Evogliptin (an oral hypoglycemic drug approved for the treatment of T2DM in South Korea in 2015) can restore the expression of the mitochondrial-synthesis-related pathway, PGC-1&#x3b1;/Nrf2/mitochondrial transcription factor A (TFAM), to promote normal mitochondrial synthesis (<xref ref-type="bibr" rid="B39">Gureev et al., 2019</xref>) and inhibit the expression of lipid transmembrane transporters (fatty acid binding protein 3, FABP3) (<xref ref-type="bibr" rid="B146">Zhang et al., 2015</xref>) and synthetic proteins (Forkhead box protein O1, FOXO1; peroxisome proliferator activated receptor &#x3b3;, PPAR&#x3b3;; diacylglycerol o-acyltransferase 1, DGAT1) (<xref ref-type="bibr" rid="B67">Kyriazis et al., 2021</xref>) to block the over-activated lipid pathway in <italic>db/db</italic> mice (<xref ref-type="fig" rid="F3">Figure 3A</xref>) (<xref ref-type="bibr" rid="B105">Pham et al., 2023</xref>). Further studies have shown that sitagliptin combined with insulin can improve diabetic cardiomyopathy by reducing the expression of inflammatory factors to a greater extent (<xref ref-type="table" rid="T3">Table 3</xref>) (<xref ref-type="bibr" rid="B129">Wadie et al., 2022</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Mechanisms underlying the cardiorenal effects of DPP-4 inhibitors. <bold>(A)</bold> for heart; <bold>(B)</bold> for kidney. TG: triglyceride, FABP3: fatty acid binding protein 3, p-FOXO1: phospho-Forkhead box protein O1, ABCA1: adenosine triphosphate transporter A1, PTP1B: protein tyrosine phosphatase, CRP: C-reactive protein, KIM-1: kidney injury molecule 1, CXCR4: chemokine receptor 4, AT1: angiotensin receptor 1, AT2: angiotensin receptor 2, ERK: extracellular regulated protein kinase, DGAT1: diacylgycerol acyltransferase 1, CAT: cationic amino acid transporters, HDL: high density lipoprotein, TFAM: mitochondrial transcription factor A, eNOS: endothelial nitric oxide synthase, DGAT1: diacylglycerol o-acyltransferase 1, PPAR&#x3b3;: peroxisome proliferator activated receptor &#x3b3;, JAK: janus tyrosine kinase, STAT3: signal transducer and activator of transcription 3.</p>
</caption>
<graphic xlink:href="fphar-15-1349069-g003.tif"/>
</fig>
<p>In addition, DPP-4i have shown significant advantages in non-diabetic cardiovascular diseases, particularly ASCVD. Trelagliptin inhibits IL-1&#x3b2;-induced MCP-1 expression in human aortic endothelial cells by inhibiting the NF-&#x3ba;B pathway, preventing monocyte infiltration during atherosclerosis (<xref ref-type="bibr" rid="B87">Meng et al., 2020</xref>). Alogliptin has been shown to reduce IL-1&#x3b2;-induced inflammatory cytokine expression in VSMCs by restoring SIRT1 expression and downregulating senescence-related markers (p16, p21 and p53) to prevent premature smooth muscle cell senescence and enhance plaque progression (<xref ref-type="bibr" rid="B148">Zhao et al., 2021</xref>). Reverse cholesterol transport is an important mechanism for improving ASCVD, which is mainly mediated by high-density lipoprotein (HDL)-associated cyclic adenosine monophosphate (cAMP) and can activate adenosine triphosphate transporter A1 (ABCA1) to promote HDL formation. Sitagliptin increases intracellular cAMP levels by indirectly activating GLP-1R and up-regulating ABCA1 expression, thereby promoting reverse cholesterol transport in macrophages and reducing foam cell generation (<xref ref-type="bibr" rid="B65">Komatsu et al., 2023</xref>). In an MI model of <italic>db/db</italic> mice, linagliptin upregulated the expression of microRNAs (miR-146b and Let-7i) in cardiomyocytes by reducing p38 phosphorylation, thereby inhibiting toll-like receptor 4 (TLR4) upregulation (<xref ref-type="bibr" rid="B11">Birnbaum et al., 2019</xref>).</p>
<p>DPP-4i also offer benefits in improving metabolic syndrome. Plasma asymmetrical dimethylarginine (ADMA) is increased in fructose-induced metabolic syndrome, which can inhibit NO by replacing L-arginine, the substrate of NO synthase, and aggravate endothelial dysfunction. Sitagliptin reduces endothelial dysfunction by increasing the activity of dimethylarginine dimethylaminohydrolase 1 (DDAH1) (an enzyme that degrades ADMA) in the kidney to degrade ADMA, thereby increasing plasma NO levels (<xref ref-type="bibr" rid="B136">W&#xf3;jcicka et al., 2023</xref>).</p>
<p>Although published clinical trials have not demonstrated the superior cardiovascular benefits of DPP-4i in diabetic population, extensive basic researches have highlighted its protective effects on the cardiovascular system in animal models of metabolic syndrome, ASCVD, and MI. These findings emphasize the necessity for further exploration into the potential clinical application of DPP-4i.</p>
</sec>
</sec>
</sec>
<sec id="s3-2">
<title>3.2 Renal protection</title>
<sec id="s3-2-1">
<title>3.2.1 SGLT2i</title>
<sec id="s3-2-1-1">
<title>3.2.1.1 Clinical trial</title>
<p>SGLT2i have demonstrated significant advantages in kidney- and cardiovascular system-related clinical trials. Dapagliflozin has been shown to reduce HF hospitalization rates in T2DM patients (DECLARE-TIMI 58) (HR, 0.83 [95% CI, 0.73 to 0.95]; <italic>p</italic> &#x3d; 0.005) (<xref ref-type="bibr" rid="B135">Wiviott et al., 2019</xref>). In the DAPA-CKD trial, dapagliflozin exhibited superior efficacy in mitigating sustained eGFR decline of at least 50% in both diabetic and non-diabetic patients with CKD (<xref ref-type="table" rid="T2">Table 2</xref>) (HR, 0.61 [95% CI, 0.51 to 0.72]; <italic>p</italic> &#x3c; 0.001) (<xref ref-type="bibr" rid="B44">Heerspink et al., 2020</xref>). The analysis of the DAPA-CKD trial also demonstrated the superior benefits of dapagliflozin in reducing albuminuria and improving eGFR in T2DM patients (<xref ref-type="bibr" rid="B43">Heerspink et al., 2021</xref>; <xref ref-type="bibr" rid="B56">Jongs et al., 2021</xref>). In addition, the analysis of the DELIVER trial (<xref ref-type="bibr" rid="B120">Solomon et al., 2022</xref>) also showed that dapagliflozin significantly slowed the decline in eGFR from the baseline (difference in eGFR decline from baseline was 0.5, [95% CI, 0.1&#x2013;0.9&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> per year]; <italic>p</italic> &#x3d; 0.01) (<xref ref-type="bibr" rid="B84">Mc Causland et al., 2023</xref>). However, the failure of dapagliflozin to improve GFR in the DIAMOND trial, which focused on patients with non-T2DM CKD (difference in mean proteinuria change from baseline was 0.9%, [95% CI, &#x2212;16.6 to 22.1]; <italic>p</italic> &#x3d; 0.93), suggests that the specific effects of dapagliflozin on GFR need to be further investigated (<xref ref-type="bibr" rid="B19">Cherney et al., 2020</xref>). In the CREDENCE trial, canagliflozin significantly reduced the rates of end-stage renal disease (ESRD) and doubled serum creatinine (HR, 0.70 [95% CI, 0.59 to 0.82]; <italic>p</italic> &#x3d; 0.00001) (<xref ref-type="bibr" rid="B101">Perkovic et al., 2019</xref>). Lastly, empagliflozin (10&#xa0;mg/day) was significantly superior to placebo in slowing kidney disease in the EMPA-KIDNEY trial (HR, 0.72 [95% CI, 0.6 to 0.82]; <italic>p</italic> &#x3c; 0.001) (<xref ref-type="bibr" rid="B48">Herrington et al., 2023</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Summary of renal outcome-related trials using SGLT2i, GLP-1RAs, DPP-4i.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Trial</th>
<th align="left">Drug</th>
<th align="left">Study design</th>
<th align="left">Patient characteristics</th>
<th align="left">Treatment dose (median duration)</th>
<th align="left">Primary renal outcome</th>
<th align="left">HR (95%CI), <italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">DAPA-CKD (<xref ref-type="bibr" rid="B44">Heerspink et al., 2020</xref>)</td>
<td align="left">Dapagliflozin</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">with or without T2D who had an eGFR of 25&#x2013;75&#xa0;mL/min/1.73m<sup>2</sup> and a UACR of 200&#x2013;5000(N &#x3d; 4744)</td>
<td align="left">10&#xa0;mg once daily (2.4 years)</td>
<td align="left">The first occurrence of any of the following: a decline of at least 50% in the eGFR (confirmed by a second Scr measurement after &#x2265;28 days), the onset of ESKD (defined as maintenance dialysis for &#x2265;28 days, kidney transplantation, or an eGFR of &#x3c;15&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> confirmed by a second measurement after &#x2265;28 days), or death from renal or cardiovascular causes</td>
<td align="left">0.61 (0.51&#x2013;0.72), <italic>p</italic> &#x3c; 0.001</td>
</tr>
<tr>
<td align="left">DIAMOND (<xref ref-type="bibr" rid="B19">Cherney et al., 2020</xref>)</td>
<td align="left">Dapagliflozin</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">aged 18&#x2013;75 years, with CKD, without T2D, with a 24&#xa0;h urinary protein excretion &#x3e;500&#x2013;3500&#xa0;mg, eGFR&#x2265;25&#xa0;mL/min/1.73m<sup>2</sup>, and who were on stable RAS blockade (N &#x3d; 58)</td>
<td align="left">10&#xa0;mg/d (treat 6 weeks with 6-week washout in between)</td>
<td align="left">The percentage change from baseline in 24&#xa0;h proteinuria during dapagliflozin treatment relative to placebo</td>
<td align="left">dapagliflozin <italic>versus</italic> placebo was &#x2212;6&#xb7;6&#xa0;mL/min/1&#xb7;73&#xa0;m<sup>2</sup> (&#x2212;9&#xb7;0 to &#x2212;4&#xb7;2; <italic>p</italic> &#x3c; 0&#xb7;0001)</td>
</tr>
<tr>
<td align="left">CREDENCE (<xref ref-type="bibr" rid="B101">Perkovic et al., 2019</xref>)</td>
<td align="left">Canagliflozin</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">aged &#x2265;30, had T2DM, also required to have CKD (defined as an eGFR of 30 to &#x3c;90&#xa0;mL/min/1.73m<sup>2</sup>), UACR&#x3e;300 to 5000(N &#x3d; 4401)</td>
<td align="left">100&#xa0;mg once daily (2.62 years)</td>
<td align="left">A composite of ESKD, doubling of the Scr level from baseline (average of randomization and pre-randomization value) sustained for at least 30 days according to central laboratory assessment, or death from renal or cardiovascular disease</td>
<td align="left">0.70 (0.59&#x2013;0.82), <italic>p</italic> &#x3d; 0.00001</td>
</tr>
<tr>
<td align="left">EMPA-KIDNEY (<xref ref-type="bibr" rid="B48">Herrington et al., 2023</xref>)</td>
<td align="left">Empagliflozin</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">with or without T2DM, eGFR of at least 20 but less than 45&#xa0;mL/min/1.73m<sup>2</sup>, regardless of the level of albuminuria, or with an eGFR of at least 45 but less than 90&#xa0;mL/min/1.73m<sup>2</sup> with UACR of at least 200&#xa0;at the screening visit (N &#x3d; 6609)</td>
<td align="left">10&#xa0;mg once daily (2 years)</td>
<td align="left">The first occurrence of ESRD or death from cardiovascular causes; the initiation of maintenance dialysis or receipt of a kidney transplant, a sustained decrease in the eGFR to less than 10&#xa0;mL/min/1.73m<sup>2</sup>, a sustained decrease from baseline in the eGFR of at least 40%, or death from renal causes</td>
<td align="left">0.72 (0.6&#x2013;0.82), <italic>p</italic> &#x3c; 0.001</td>
</tr>
<tr>
<td align="left">LEADER (<xref ref-type="bibr" rid="B79">Mann et al., 2017</xref>) prespecified secondary analysis</td>
<td align="left">Liraglutide</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">aged &#x2265;50, T2D with at least one cardiovascular coexisting condition or an age of 60 years or more with at least one cardiovascular risk factor (N &#x3d; 9340)</td>
<td align="left">1.8&#xa0;mg once daily (s.c.) (3.5 years)</td>
<td align="left">The composite renal outcome consisted of new-onset persistent macroalbuminuria, persistent doubling of the serum creatinine level and an eGFR of 45 or less mL/minute/1.73m<sup>2</sup>, the need for continuous RRT with no reversible cause of the renal disease, or death from renal disease</td>
<td align="left">0.78 (0.67&#x2013;0.92), <italic>p</italic> &#x3d; 0.003</td>
</tr>
<tr>
<td align="left">AMPLITUDE-O (<xref ref-type="bibr" rid="B34">Gerstein et al., 2021</xref>)</td>
<td align="left">Efpeglenatide</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">aged &#x2265;18, T2D, had a history of cardiovascular disease or &#x2265;50 (men); &#x2265;55 (women) and had kidney disease defined as an eGFR of 25.0&#x2013;59.9&#xa0;mL/min/1.73m<sup>2</sup>, and at least one additional cardiovascular risk factor (N &#x3d; 4076)</td>
<td align="left">2&#xa0;mg/week for 4 weeks, then 4&#xa0;mg/week for 4 weeks, and then 6&#xa0;mg/week until the end (1.81 years)</td>
<td align="left">A composite renal outcome incident macroalbuminuria defined as a UACR&#x3e;300, plus an increase in the UACR of &#x2265;30% from baseline, a sustained decrease in the eGFR of &#x2265;40% for &#x2265;30 days, renal-replacement therapy for &#x2265;90 days, or a sustained eGFR of &#x3c;15&#xa0;mL/min/1.73m<sup>2</sup> for &#x2265;30 days</td>
<td align="left">0.68 (0.57&#x2013;0.79), <italic>p</italic> &#x3c; 0.001</td>
</tr>
<tr>
<td align="left">FLOW (<xref ref-type="bibr" rid="B112">Rossing et al., 2023</xref>)</td>
<td align="left">Semaglutide</td>
<td align="left">phase 3b, randomized, double-blind, placebo-controlled study</td>
<td align="left">aged &#x2265;18 years or &#x2265;20 years in Japan with pre-existing CKD with high albuminuria, low eGFR, T2D, HbA1c &#x2264; 10% (&#x3c;86&#xa0;mmol/mol) and on stable treatment with the maximum labelled or tolerated dose of a RAAS blocking agent (N &#x3d; 3534)</td>
<td align="left">0.25&#xa0;mg/week for 4 weeks, then 0.5&#xa0;mg/week for 4 weeks, and then 1.0&#xa0;mg/week until the end (s.c.)</td>
<td align="left">Ongoing</td>
<td align="left">Ongoing</td>
</tr>
<tr>
<td align="left">GUARD (<xref ref-type="bibr" rid="B144">Yoon et al., 2017</xref>)</td>
<td align="left">Gemigliptin</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">aged 19&#x2013;75 years, diagnosed with T2D, and confirmed to have moderate (eGFR: 30&#x2013;59&#xa0;mL/min/1.73m<sup>2</sup>) to severe (eGFR: 15&#x2013;29&#xa0;mL/min/1.73m<sup>2</sup>) (N &#x3d; 132)</td>
<td align="left">50&#xa0;mg daily (12 weeks)</td>
<td align="left">Changes in eGFR, UACR at Week 12</td>
<td align="left">gemigliptin group, the mean decrease in UACR was significant, MA (&#x2212;41.9&#xa0;mg/g creatinine, <italic>p</italic> &#x3d; 0.03) and macroalbuminuria (&#x2212;528.9&#xa0;mg/g creatinine, <italic>p</italic> &#x3c; 0.001)</td>
</tr>
<tr>
<td align="left">GUARD-extension (<xref ref-type="bibr" rid="B41">Han et al., 2018</xref>)</td>
<td align="left">Gemigliptin</td>
<td align="left">randomized, double-blind, placebo-controlled study</td>
<td align="left">Patients who had completed the 12-week study and consented to participate in the extended study were enrolled. (N &#x3d; 102)</td>
<td align="left">50&#xa0;mg of gemigliptin daily; 5&#xa0;mg of linagliptin daily</td>
<td align="left">Changes in eGFR, UACR at Week 52</td>
<td align="left">eGFR decreased by 3.86&#xa0;mL/min/1.73m<sup>2</sup> in the gemigliptin group and 1.85&#xa0;mL/min/1.73m<sup>2</sup> in the placebo/linagliptin group. The UACR did not change significantly in either group between baseline and week 52</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>UACR: urine albumin creatine ratio, CKD: chronic kidney disease, eGFR: estimated Glomerular Filtration Rate, ESKD: End-Stage Kidney Disease, T2D: Type 2 Diabetes, MA: microalbuminuria, RAS: renin angiotensin system, SCr: Serum Creatine rate, RRT: renal replacement therapy.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2-1-2">
<title>3.2.1.2 Basic research</title>
<p>Promising results have been obtained from basic research on the role of SGLT2i in alleviating kidney injury. High glucose stimulation induces heightened energy consumption in HK-2 cells, leading to a decrease in the intracellular adenosine-diphosphate/adenosine-triphosphate (ADP/ATP) ratio. This disruption affects the AMPK/mTOR pathway, resulting in reduced autophagy and inhibited energy production (<xref ref-type="fig" rid="F1">Figure 1B</xref>) (<xref ref-type="bibr" rid="B137">Xiao et al., 2011</xref>; <xref ref-type="bibr" rid="B97">Packer, 2020b</xref>). Dapagliflozin may reverse this process (<xref ref-type="bibr" rid="B140">Xu et al., 2021</xref>). Cytochrome P4 (CYP4) is highly expressed in diabetic kidney and can metabolize arachidonic acid into 20-hydroxy-eicosapentaenoic acid (20-HETE), which promotes the formation of superoxide. Dapagliflozin can reduce the inflammation of DKD by targeting the CYP4/20-HETE pathway (<xref ref-type="bibr" rid="B26">Dia et al., 2023</xref>). In addition, dapagliflozin could appropriately restore fatty acid metabolism to improve the activation of hypoxia-inducible factor-1&#x3b1; (HIF-1&#x3b1;) and metabolite accumulation caused by mitochondrial tricarboxylic acid (TCA) cycle over-activation under DKD, suggesting that SGLT2i could prevent tubular cell metabolic shift and associate with inflammation (<xref ref-type="bibr" rid="B61">Ke et al., 2022</xref>). The Hippo-yes associated protein 1/transcriptional coactivator (YAP/TAZ) pathway plays an important role in fibrosis. Dapagliflozin can inhibit the nuclear translocation of YAP/TAZ, thereby reducing the transcription of its downstream pro-fibrotic target genes connective tissue growth factor (CTGF) to improve DKD fibrosis (<xref ref-type="table" rid="T3">Table 3</xref>) (<xref ref-type="bibr" rid="B29">Feng et al., 2023</xref>). Empagliflozin can also delay DKD fibrosis by preventing reprogramming of serine-threonine metabolism (<xref ref-type="bibr" rid="B75">Lu et al., 2022</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Summary of <italic>in vitro</italic> and <italic>in vivo</italic> models using SGLT2i, GLP-1RAs, and DPP-4i.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Drug</th>
<th align="left">Animal treatment</th>
<th align="left">Mice type</th>
<th align="left">Cell type</th>
<th align="left">Mechanism</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">dapagliflozin</td>
<td align="left">Ang &#x2161; (cardiomyopathy)</td>
<td align="left">db/db mice</td>
<td align="left">primary SD rat ventricular myocytes</td>
<td align="left">anti-oxidative stress</td>
<td align="left">
<xref ref-type="bibr" rid="B6">Arow et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">dapagliflozin</td>
<td align="left">STZ (T1D cardiomyopathy)</td>
<td align="left">Wistar rats</td>
<td align="left">-</td>
<td align="left">anti-oxidative stress</td>
<td align="left">
<xref ref-type="bibr" rid="B110">Rosa et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">empagliflozin</td>
<td align="left">HFD (atherosclerosis)</td>
<td align="left">Apoe<sup>&#x2212;/&#x2212;</sup> mice</td>
<td align="left">RAW264.7 cell</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B31">Fu et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">dapagliflozin</td>
<td align="left">HFD (obesity-related cardiac dysfunction)</td>
<td align="left">C57 mice</td>
<td align="left">rat cardiomyocyte H9c2 cells</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B73">Lin et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">empagliflozin</td>
<td align="left">Isoproterenol (HF)</td>
<td align="left">Wistar rats</td>
<td align="left">human atrial fibroblasts</td>
<td align="left">anti-fibrosis</td>
<td align="left">
<xref ref-type="bibr" rid="B20">Chung et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">dapagliflozin</td>
<td align="left">DOX (cardiomyopathy)</td>
<td align="left">SD rat</td>
<td align="left">rat cardiomyocyte H9c2 cells</td>
<td align="left">anti-oxidative stress/inflammatory/fibrosis</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Hsieh et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">empagliflozin</td>
<td align="left">sunitinib (cardiomyopathy)</td>
<td align="left">C57 mice</td>
<td align="left">rat cardiomyocyte H9c2 cells</td>
<td align="left">inhibition of autophagy</td>
<td align="left">
<xref ref-type="bibr" rid="B109">Ren et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">empagliflozin</td>
<td align="left">trastuzumab (cardiomyopathy)</td>
<td align="left">C57 mice</td>
<td align="left">primary C57 mice myocytes</td>
<td align="left">ferroptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B88">Min et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">dapagliflozin</td>
<td align="left">STZ &#x2b; HFD (DKD)</td>
<td align="left">SD rat</td>
<td align="left">HK-2 cell</td>
<td align="left">anti-fibrosis</td>
<td align="left">
<xref ref-type="bibr" rid="B29">Feng et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">empagliflozin</td>
<td align="left">LPS (acute septic renal injury)</td>
<td align="left">C57 mice</td>
<td align="left">-</td>
<td align="left">anti-inflammatory</td>
<td align="left">(Maayah et al., 2021)</td>
</tr>
<tr>
<td align="left">empagliflozin</td>
<td align="left">lupus-prone mice (lupus nephrities)</td>
<td align="left">MRL/lpr mice</td>
<td align="left">podocyte</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B149">Zhao et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">liraglutide</td>
<td align="left">STZ (T1D cardiomyopathy)</td>
<td align="left">Wistar rats</td>
<td align="left">-</td>
<td align="left">anti-oxidative stress</td>
<td align="left">
<xref ref-type="bibr" rid="B52">Inoue et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">liraglutide</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">hematopoietic stem progenitor cells (HSPCs)</td>
<td align="left">enhanced angiogenic potential</td>
<td align="left">
<xref ref-type="bibr" rid="B116">Sforza et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">liraglutide</td>
<td align="left">STZ (atherosclerosis)</td>
<td align="left">Apoe<sup>&#x2212;/&#x2212;</sup> mice</td>
<td align="left">human umbilical vein endothelial cells (HUVECs)</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B66">Koshibu et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">liraglutide</td>
<td align="left">AAC (myocardial fibrosis)</td>
<td align="left">SD rat</td>
<td align="left">-</td>
<td align="left">anti-fibrosis</td>
<td align="left">
<xref ref-type="bibr" rid="B150">Zheng et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">semaglutide</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">endothelial progenitor cells (EPCs)/RAW264.7 cell</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B98">Pan et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">liraglutide</td>
<td align="left">HFD (DKD)</td>
<td align="left">zucker diabetic fatty rats</td>
<td align="left">Hkc8/HEK293 cells</td>
<td align="left">anti-oxidative stress</td>
<td align="left">
<xref ref-type="bibr" rid="B141">Yang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">liraglutide</td>
<td align="left">HSD (DKD)</td>
<td align="left">zucker fatty rats</td>
<td align="left">-</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B122">Sukumaran et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">exenatide</td>
<td align="left">HFD (obesity-related kidney dysfunction)</td>
<td align="left">C57 mice</td>
<td align="left">HK-2 cell</td>
<td align="left">anti-oxidative stress/apoptosis</td>
<td align="left">
<xref ref-type="bibr" rid="B131">Wang et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">liraglutide</td>
<td align="left">IRI-AKI</td>
<td align="left">C57 mice</td>
<td align="left">HK-2 cell</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B72">Li et al. (2021a)</xref>
</td>
</tr>
<tr>
<td align="left">liraglutide</td>
<td align="left">GM-AKI</td>
<td align="left">SD rat</td>
<td align="left">-</td>
<td align="left">anti-oxidative stress/apoptosis/inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B28">Elkhoely (2023)</xref>
</td>
</tr>
<tr>
<td align="left">liraglutide</td>
<td align="left">Cis-AKI</td>
<td align="left">SD rat</td>
<td align="left">-</td>
<td align="left">anti-oxidative stress/apoptosis/inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B118">Sharaf et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">sitagliptin</td>
<td align="left">STZ (T1D cardiomyopathy)</td>
<td align="left">SD rat</td>
<td align="left">-</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B129">Wadie et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">trelagliptin</td>
<td align="left">IL-1&#x3b2; (atherosclerosis)</td>
<td align="left">-</td>
<td align="left">human aortic endothelial cells (HAECs)</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B87">Meng et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">linagliptin</td>
<td align="left">IRI-MI</td>
<td align="left">db/db mice</td>
<td align="left">primary human cardiofbroblasts (HCF)/cardiomyocytes (HCM)</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B11">Birnbaum et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">sitagliptin</td>
<td align="left">STZ (DKD)</td>
<td align="left">Wistar rats</td>
<td align="left">-</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B3">Al-Qabbaa et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">linagliptin</td>
<td align="left">STZ (DKD)</td>
<td align="left">CD-1 mice</td>
<td align="left">human dermal microvascular endothelial cells (HMVECs)</td>
<td align="left">anti-fibrosis</td>
<td align="left">
<xref ref-type="bibr" rid="B60">Kanasaki et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left">saxagliptin</td>
<td align="left">Ang &#x2161; (hypertensive nephropathy)</td>
<td align="left">C57 mice</td>
<td align="left">T35OK-ANG II type 1&#x2009;A receptor (AT<sub>1A</sub>R) (OK) cells (opossum-derived proximal tubule cells)</td>
<td align="left">anti-inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B95">Nistala et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">saxagliptin</td>
<td align="left">GM-AKI</td>
<td align="left">SD rat</td>
<td align="left">-</td>
<td align="left">anti-oxidative stress/apoptosis/inflammatory</td>
<td align="left">
<xref ref-type="bibr" rid="B83">Mayer et al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HFD: high-fat diet, HF:heart failure, T1D: type 1 diabete, DOX: doxorubicin, STZ: streptozotocin, LPS: lipopolysaccharide, AAC: abdominal aortic constriction. HSD: high-salt diet, IRI: ischemia-reperfusion injury, GM: gentamicin, Cis: cisplatin, AKI: acute kidney injury, MI: myocardial infarction, DKD: diabetic kidney disease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In recent years, the role of SGLT2i in mediating immune response has attracted great attention. Canagliflozin has been shown to inhibit CD4<sup>&#x2b;</sup>T cell activation and reduce cancer myelocytomatosis oncogene (cMyc) to prevent metabolic reprogramming and immune inflammation (<xref ref-type="bibr" rid="B54">Jenkins et al., 2023</xref>). Consistently, a study by Zhao et al. revealed that empagliflozin can inhibit the over-activated SGLT2 in lupus kidney glomeruli, prevent the activation of mechanistic target of rapamycin complex 1 (mTORC1), and delay glomerular injury in lupus kidney (<xref ref-type="bibr" rid="B149">Zhao et al., 2023</xref>). Also, the expression of complement receptor type 1-related protein y (Crry), a key complement regulator, was upregulated by dapagliflozin, inhibiting HIF-1&#x3b1; accumulation under high glucose to alleviate immune inflammatory injury in <italic>db/db</italic> mice (<xref ref-type="bibr" rid="B17">Chang et al., 2021</xref>).</p>
<p>SGLT2i have a significant protective effect on DKD. Immune-related nephropathy is identified as a major contributor to CKD, and several basic studies have confirmed the positive role of SGLT2i in regulating the immune system. As a result, S&#xe4;emann et al. advocate for the inclusion of patients with autoimmune diseases in large-scale renal outcome trials (<xref ref-type="bibr" rid="B113">S&#xe4;emann and Kronbichler, 2022</xref>). Currently, relevant clinical trials have confirmed the acceptable safety profile of SGLT2i in the treatment of lupus nephritis, but further evaluation is needed to assess its efficacy (<xref ref-type="bibr" rid="B130">Wang et al., 2022</xref>).</p>
</sec>
</sec>
<sec id="s3-2-2">
<title>3.2.2 GLP-1RAs</title>
<sec id="s3-2-2-1">
<title>3.2.2.1 Clinical trial</title>
<p>Most clinical trials of GLP-1RAs have been <italic>post hoc</italic> and prespecified analyses, highlighting their role in reducing eGFR and urine albumin creatine ratio (UACR). A prespecified analysis of renal outcomes in the LEADER trial showed a significant improvement in macroalbuminuria with liraglutide (HR, 0.78 [95% CI, 0.67 to 0.92]; <italic>p</italic> &#x3d; 0.003) (<xref ref-type="table" rid="T2">Table 2</xref>) (<xref ref-type="bibr" rid="B79">Mann et al., 2017</xref>). In a <italic>post hoc</italic> analysis of the (SUSTAIN1-7) trial, semaglutide has a significant effect on reducing UACR but decreasing eGFR only in an early stage in T2DM patients with established CKD (<xref ref-type="bibr" rid="B78">Mann et al., 2020</xref>). Similarly, in the pooled analysis of SUSTAIN 6 and LEADER, both liraglutide and semaglutide reduced albuminuria by 24% over 2&#xa0;years (95% CI, 20%&#x2013;27%; <italic>p</italic> &#x3c; 0.001), with a greater delay in the continuous decline of eGFR at an eGFR of 30&#x2013;60&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> (<xref ref-type="bibr" rid="B117">Shaman et al., 2022</xref>). In addition, a pooled analysis of the SUSTAIN 6 and PIONEER 6 trials showed that although the improvement in eGFR slope was not significant in subgroups, semaglutide still reduced the eGFR slope in an overall population analysis (<xref ref-type="bibr" rid="B127">Tuttle et al., 2023</xref>). Of note, in a <italic>post hoc</italic> analysis of the STEP1-3 trial in obese patients, a higher dose (2.4&#xa0;mg) of once-weekly semaglutide reduced UACR by 20.6%, while there was no difference between semaglutide and placebo in the eGFR slope at week 68 (<xref ref-type="bibr" rid="B42">Heerspink et al., 2023</xref>). A direct, specific trial is underway to assess whether semaglutide can delay DKD (FLOW) in older patients who have had T2DM for nearly two decades, which will provide novel insights into the long-term renal effects of GLP-1RAs (<xref ref-type="bibr" rid="B112">Rossing et al., 2023</xref>).</p>
</sec>
<sec id="s3-2-2-2">
<title>3.2.2.2 Basic research</title>
<p>Similar to SGLT2i, GLP-1RAs have shown hopeful results in delaying the progression of kidney disease, regardless of diabetes status. Nrf2 expression was significantly upregulated by liraglutide, activating the AMPK/mTOR pathway and thereby alleviating DKD (<xref ref-type="fig" rid="F2">Figure 2B</xref>) (<xref ref-type="table" rid="T3">Table 3</xref>) (<xref ref-type="bibr" rid="B141">Yang et al., 2020</xref>). Further, Nrf2 can regulate the disorder of lipid metabolism through the AMPK pathway to reduce ectopic lipid deposition in renal tubules in DKD (<xref ref-type="bibr" rid="B121">Su et al., 2020</xref>). Notably, co-administration of exenatide and adipose-derived mesenchymal stem cells (ADMSCs) significantly improved the renal function of DKD (<xref ref-type="bibr" rid="B40">Habib et al., 2021</xref>).</p>
<p>Additionally, GLP-1RAs may have therapeutic promise in renal injury caused by hypertension, obesity or ischemia reperfusion. Studies have shown that liraglutide can reduce blood pressure by increasing the expression of endothelial nitric oxide synthase (eNOS) and vascular endothelial growth factor (VEGF), thereby improving the vasoconstriction of intrarenal arterioles. It can also reduce the infiltration of macrophages into renal vascular endothelial cells and alleviate renal vascular inflammation in obese rats induced by a high-salt diet (<xref ref-type="bibr" rid="B122">Sukumaran et al., 2019</xref>). Exenatide can stabilize mitochondrial membrane potential and reduce palmitate-induced reactive oxygen species production in HK-2 cells through the upregulation of SIRT1 (<xref ref-type="bibr" rid="B131">Wang et al., 2021</xref>). High mobility group box 1 protein (HMGB1) is a damage-associated molecular pattern, which is released from the nucleus to the cytoplasm during renal ischemia and then binds to its receptors, such as TLR-4, to promote the inflammatory cascade. Liraglutide can downregulate the expression of HMGB1 receptors and prevent acetylation of HMGB1 by increasing histone acrtyltransferases (HAT) activity, thereby reducing neutrophil infiltration and delaying renal ischemia-reperfusion injury <italic>in vivo</italic> and <italic>in vitro</italic> (<xref ref-type="bibr" rid="B70">Li Y. et al., 2021</xref>).</p>
<p>GLP-1RAs have also been shown to have a positive role in reducing the nephrotoxic effects of antibiotics and antitumor drugs. Liraglutide can mediate mitochondrial biogenesis by regulating the protein kinase A/cyclic-AMP response binding protein (PKA/CREB) and notch homolog 1/hairy and enhancer of split-1 (Notch/Hes-1) pathways and up-regulating the expression of PGC-1&#x3b1; to activate Nrf2, thereby improving the nephrotoxicity induced by glucocorticoids (<xref ref-type="bibr" rid="B28">Elkhoely, 2023</xref>). Cisplatin, a common and effective chemotherapeutic agent, often causes irreversible acute kidney injury (AKI). Organic cations transporter 2 (OCT2) is located on the basement membrane of renal tubules and is responsible for the absorption of cisplatin. The MAPK pathway plays a pivotal role in cisplatin-induced AKI. Liraglutide can reduce renal injury by inhibiting the expression of OCT2 and c-Jun N-terminal kinase/extracellular regulated protein kinase (JNK/ERK), thereby restoring the oxidative/antioxidant balance (<xref ref-type="bibr" rid="B118">Sharaf et al., 2023</xref>). Additionally, liraglutide also inhibited the release of HMGB1 to reduce cisplatin-induced apoptosis in HK-2 cells (<xref ref-type="bibr" rid="B139">Xu et al., 2023</xref>).</p>
<p>These basic studies demonstrate that GLP-1RAs offer significant protection against obesity-related kidney disease, in addition to their benefits in improving DKD. Exenatide is even more effective than simvastatin in treating obesity-induced tubular epithelial cell lipotoxicity (<xref ref-type="bibr" rid="B131">Wang et al., 2021</xref>). The fact that GLP-1RAs has also become a second-line therapy for CKD expands its clinical benefits range besides weight loss (<xref ref-type="bibr" rid="B94">Navaneethan et al., 2023</xref>). Moreover, it has been reported that liraglutide, either alone or in combination with rabeprazole, can protect against cisplatin-induced nephrotoxicity (<xref ref-type="bibr" rid="B118">Sharaf et al., 2023</xref>), highlighting the potential of GLP-1RAs for further validation in clinical trials investigating nephrotoxicity associated with antineoplastic drugs.</p>
</sec>
</sec>
<sec id="s3-2-3">
<title>3.2.3 DPP-4i</title>
<sec id="s3-2-3-1">
<title>3.2.3.1 Clinical trial</title>
<p>The outcomes of clinical trials assessing the impact of DPP-4i on renal outcomes remain controversial. Initial findings indicated the potential benefits of DPP-4i in ameliorating DKD. In a retrospective analysis of four clinical datasets concerning linagliptin, it was observed that treatment with linagliptin led to a significant reduction in UACR after 12&#x2013;24 weeks (<xref ref-type="bibr" rid="B37">Groop et al., 2013</xref>). Other studies showed that linagliptin reduced the probability of first adverse kidney events (HR, 0.84 [95% CI, 0.72&#x2013;0.97]; <italic>p</italic> &#x3d; 0.02) and new-onset albuminuria (HR, 0.82 [95% CI, 0.69&#x2013;0.98]; <italic>p</italic> &#x3d; 0.03) (<xref ref-type="bibr" rid="B23">Cooper et al., 2015</xref>). In the GUARD study, gemigliptin improved microalbuminuria (decrease in UACR was &#x2212;41.9&#xa0;mg/g creatinine; <italic>p</italic> &#x3d; 0.03) and macroalbuminuria (decrease in UACR was &#x2212;528.9&#xa0;mg/g creatinine; <italic>p</italic> &#x3c; 0.001) in both the short-term 12-week observation and the 40-week extension study (<xref ref-type="table" rid="T2">Table 2</xref>) (<xref ref-type="bibr" rid="B144">Yoon et al., 2017</xref>; <xref ref-type="bibr" rid="B41">Han et al., 2018</xref>). Analysis of the SAVOR-TIMI 53 trial found that saxagliptin improved UACR in patients with renal insufficiency (the difference in UACR change was &#x2212;19.3&#xa0;mg/g; <italic>p</italic> &#x3d; 0.033) (<xref ref-type="bibr" rid="B89">Mosenzon et al., 2017</xref>). In the CARMELINA trial, linagliptin had a significant advantage in reducing UACR in T2DM patients with or without nephrotic range proteinuria (reduction of UACR &#x2265;50%; HR, 1.15 [95% CI, 1.07 to 1.25] from baseline) (<xref ref-type="bibr" rid="B132">Wanner et al., 2021</xref>). In line with the CARMELINA trial, the EXAM trial showed that alogliptin may benefit patients with eGFR &#x2265;60&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> (HR, 0.81 [95% CI, 0.65 to 0.99] for eGFR &#x2265;60&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>; HR, 1.2 [95% CI, 0.95 to 1.53] for eGFR &#x3c;60&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>) (<xref ref-type="bibr" rid="B30">Ferreira et al., 2020</xref>). However, there is contrary evidence to the above results. In the TECOS trial, sitagliptin did not significantly improve CKD progression, regardless of the baseline eGFR level (<xref ref-type="bibr" rid="B24">Cornel et al., 2016</xref>). The secondary analysis of CARMELINA also proved that linagliptin was not significantly different from placebo in improving renal outcomes (<xref ref-type="bibr" rid="B102">Perkovic et al., 2020</xref>). Postprandial glomerular hyperfiltration may be one of the renal risk factors in diabetic patients. Compared with glimepiride, linagliptin does not improve postprandial hemodynamics, and may even moderately induce postprandial glomerular hyperfiltration (<xref ref-type="bibr" rid="B91">Muskiet et al., 2020</xref>; <xref ref-type="bibr" rid="B92">Muskiet et al., 2022</xref>).</p>
</sec>
<sec id="s3-2-3-2">
<title>3.2.3.2 Basic research</title>
<p>Inconsistent with clinical trials, preclinical data have unequivocally demonstrated the beneficial effects of DPP-4i in alleviating DKD. High glucose activates the C-reactive protein (CRP)/Fc&#x3b3;RIIb (CD32b)/NF-&#x3ba;B pathway, which enriches DPP-4 and forms a dimer with CD32b to maintain its expression, thereby forming an inflammatory cycle and aggravating the injury. Linagliptin can block this cycle (<xref ref-type="bibr" rid="B125">Tang et al., 2021</xref>). Omarigliptin can improve high glucose-induced glomerular endothelial cell inflammation by activating the AMPK/mTOR pathway and negatively regulating the NLRP3 inflammasome (<xref ref-type="fig" rid="F3">Figure 3B</xref>) (<xref ref-type="bibr" rid="B69">Li L. et al., 2021</xref>). Protein tyrosine phosphatase 1B (PTP1B) participates in the inflammatory response by negatively regulating the janus tyrosine kinase/signal transducer and activator of transcription (JAK/STAT) pathway. Sitagliptin reduces renal inflammation in streptozotocin-induced rats by inhibiting PTP1B (<xref ref-type="table" rid="T3">Table 3</xref>) (<xref ref-type="bibr" rid="B3">Al-Qabbaa et al., 2023</xref>). Linagliptin alleviate renal fibrosis in streptozotocin-induced mice by increasing the expression of microRNA 29. Upregulation of microRNA 29 directly inhibited the expression of fibrosis genes (<xref ref-type="bibr" rid="B60">Kanasaki et al., 2014</xref>).</p>
<p>DPP-4i may also alleviate renal dysfunction induced by AngII. The expression of Ang &#x2161; receptor 2 (AT2R), which can antagonize Ang &#x2161; receptor 1 (AT1R)-mediated inflammatory responses, was upregulated by linagliptin to alleviate Ang &#x2161;-induced renal fibrosis (<xref ref-type="bibr" rid="B8">Bai et al., 2020</xref>). Additionally, saxagliptin can mediate innate and adaptive immune inflammation, inhibit the activity of pro-inflammatory cells (CD8<sup>&#x2b;</sup>T cells, neutrophils), and convert them into anti-inflammatory cells (M2 macrophages and Treg cells) to reduce Ang &#x2161;-induced hypertensive nephropathy (<xref ref-type="bibr" rid="B95">Nistala et al., 2021</xref>). In addition, saxagliptin can also activate multiple pathways, such as GLP-1/cAMP/VEGF, kidney injury molecule-1 (KIM-1)/STAT3/HIF-1&#x3b1;/VEGF/eNOS, to increase the expression of NO and repair damaged blood vessels caused by inflammation after renal ischemia/reperfusion (<xref ref-type="bibr" rid="B59">Kamel et al., 2019</xref>).</p>
<p>Additionally, DPP-4i play a significant role in improving antibiotic-induced nephrotoxicity and nephritis. Saxagliptin can reduce the expression of malondialdehyde and increase the expression of glutathione to regulate the disorder of renal inflammation and oxidative stress caused by gentamicin (<xref ref-type="bibr" rid="B46">Helal et al., 2018</xref>). Interestingly, linagliptin also accelerated glomerular crescentic degeneration in anti-glomerular basement membrane (GBM) nephritis (<xref ref-type="bibr" rid="B83">Mayer et al., 2021</xref>).</p>
<p>Basic research are still ongoing to explore the potential benefits and mechanisms of DPP-4i in improving DKD. Additionally, DPP-4i can improve hypertensive nephropathy through immune mechanisms independent of blood pressure reduction (<xref ref-type="bibr" rid="B95">Nistala et al., 2021</xref>), and promote the regression of crescents in anti-GBM nephritis, thereby providing a clinical translation point for their future use in immune system diseases.</p>
</sec>
</sec>
</sec>
</sec>
<sec sec-type="conclusion" id="s4">
<title>4 Conclusion</title>
<p>Patients with T2DM often suffer from adverse cardiovascular and renal outcomes. Accumulating evidence suggest that SGLT2i and GLP-1RAs have cardiorenal protective effects including glucose-dependent and independent pathways. They not only protect against heart and kidney diseases through classical anti-inflammatory, anti-oxidative stress, and anti-fibrosis pathways but are also implicated in non-classical epigenetics, mitochondrial energy metabolism, and immune complement pathways. They have also demonstrated positive effects on immune diseases and cardiovascular and renal toxicity caused by antineoplastic drugs and antibiotics. Although basic research indicate the beneficial effects of DPP-4i, most clinical studies have only demonstrated their non-inferiority, underscoring the necessity for further exploration. Therefore, more direct and larger clinical trials (involving a larger proportion of CVD/CKD patients without diabetes) are needed to assess this drug.</p>
<p>By exploring the cardiorenal protective effects of drugs, we can identify common mechanisms that contribute to cardiorenal injury in various diseases. These findings will establish a theoretical and experimental basis for developing novel clinical drugs. Additionally, a drug that can effectively treat both heart and kidney diseases has significant practical implications, including reducing the medication burden on patients, lowering adverse reactions, enhancing patient compliance, and alleviating financial strain and so on. Therefore, further research should investigate new mechanistic pathways to explore the effectiveness of second-generation anti-glucose drugs.</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Author contributions</title>
<p>W-JF: Writing&#x2013;original draft. J-LH: Writing&#x2013;original draft. Z-HM: Writing&#x2013;review and editing. S-KP: Writing&#x2013;review and editing. D-WL: Writing&#x2013;review and editing. Z-SL: Conceptualization, Writing&#x2013;review and editing. PW: Conceptualization, Funding acquisition, Supervision, Writing&#x2013;review and editing. Z-XG: Conceptualization, Funding acquisition, Supervision, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s6">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Natural Science Foundation of Henan Province (222300420089 to PW), National Natural Science Foundation of China (32371170 to Z-XG, 31971065 to PW, and 82300323 to J-LH), and Scientific Research and Innovation Team of the First Affiliated Hospital of Zhengzhou University (QNCXTD2023006 to PW).</p>
</sec>
<ack>
<p>The authors would like to thank Editage for professional editing.</p>
</ack>
<sec sec-type="COI-statement" id="s7">
<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="disclaimer" id="s8">
<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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