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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2024.1387993</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Efficacy and safety of polyethylene glycol loxenatide in treating mild-to-moderate diabetic kidney disease in type 2 diabetes patients: a randomized, open-label, clinical trial</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>YongSheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Shujie</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Jiangang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Jianqin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Yanan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2659902"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
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</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Neurology, Sunshine Union Hospital</institution>, <addr-line>Weifang, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Endocrinology, Sunshine Union Hospital</institution>, <addr-line>Weifang, Shandong</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Gopalakrishnan Natarajan, Madras Medical College, India</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Cristian Sandoval, Santo Tom&#xe1;s University, Chile</p>
<p>Benli Su, Second Hospital of Dalian Medical University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Ying Liu, <email xlink:href="mailto:175198989@qq.com">175198989@qq.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>07</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1387993</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>07</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Cao, Cao, Zhao, Zhao, Zhao and Liu</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Cao, Cao, Zhao, Zhao, Zhao and Liu</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>
<sec>
<title>Objective</title>
<p>This study aimed to evaluate the efficacy and safety of polyethylene glycol loxenatide (PEG-Loxe) compared to those of dapagliflozin in patients with mild-to-moderate diabetic kidney disease (DKD), a prevalent microvascular complication of type 2 diabetes mellitus (T2DM). The study is set against the backdrop of increasing global diabetes incidence and the need for effective DKD management.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study constituted a single-center, randomized, open-label, clinical trial. The trial included patients with mild-to-moderate DKD and suboptimal glycemic control. Eligible participants were randomly allocated to one of the two groups for treatment with either PEG-Loxe or dapagliflozin. The primary endpoint was the change in UACR from baseline at 24 weeks.</p>
</sec>
<sec>
<title>Results</title>
<p>Overall, 106 patients were randomized and 80 patients completed the study. Following 24 weeks of treatment, the PEG-Loxe group exhibited a mean percent change in baseline UACR of &#x2212;29.3% (95% confidence interval [CI]: &#x2212;34.8, &#x2212;23.7), compared to that of &#x2212;31.8% in the dapagliflozin group (95% CI: &#x2212;34.8, &#x2212;23.7). Both PEG-Loxe and dapagliflozin showed similar efficacy in reducing UACR, with no significant difference between the groups (<italic>p</italic> = 0.336). The HbA1c levels decreased by &#x2212;1.30% (95% CI: &#x2212;1.43, &#x2212;1.18) in the PEG-Loxe group and by &#x2212;1.29% (95% CI: &#x2212;1.42, &#x2212;1.17) in the dapagliflozin group (<italic>p</italic> = 0.905). The TG levels decreased by &#x2212;0.56 mmol/L (95% CI: &#x2212;0.71, &#x2212;0.42) in the PEG-Loxe group and &#x2212;0.33 mmol/L (95% CI: &#x2212;0.48, &#x2212;0.19) in the dapagliflozin group (<italic>p</italic> = 0.023). Differences in TC, HDL-C, LDL-C, SBP, and DBP levels between the groups were not statistically significant (all <italic>p</italic> &gt; 0.05). Safety profiles were consistent with previous findings, with gastrointestinal adverse events being more common in the PEG-Loxe group.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>PEG-Loxe is as effective as dapagliflozin in improving urine protein levels in patients with mild-to-moderate DKD and offers superior benefits in improving lipid profiles. These findings support the use of PEG-Loxe in DKD management, contributing to evidence-based treatment options.</p>
</sec>
<sec>
<title>Clinical Trial Registration</title>
<p>
<uri xlink:href="http://www.chictr.org.cn">www.chictr.org.cn</uri>, identifier ChiCTR2300070919.</p>
</sec>
</abstract>
<kwd-group>
<kwd>dapagliflozin</kwd>
<kwd>diabetic kidney disease</kwd>
<kwd>glomerular filtration rate</kwd>
<kwd>lipid profiles</kwd>
<kwd>polyethylene glycol loxenatide</kwd>
<kwd>type 2 diabetes mellitus</kwd>
<kwd>urinary albumin-to-creatinine ratio</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="10"/>
<word-count count="4367"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Renal Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>In recent years, the incidence of diabetes has steadily risen, affecting 540 million adults globally, with more than 90% diagnosed with type 2 diabetes mellitus (T2DM) (<xref ref-type="bibr" rid="B1">1</xref>). Diabetes mellitus results in a range of macrovascular and microvascular complications, posing significant health risks (<xref ref-type="bibr" rid="B2">2</xref>). Diabetic kidney disease (DKD) represents one such microvascular complication of diabetes mellitus (<xref ref-type="bibr" rid="B3">3</xref>). Approximately 20%&#x2013;40% of individuals with diabetes develop DKD (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>DKD constitutes a chronic kidney disease characterized by a complex pathogenesis (<xref ref-type="bibr" rid="B5">5</xref>). Clinically, it is marked by persistent albuminuria and/or a gradual decline in the glomerular filtration rate (GFR), eventually leading to end-stage renal disease (ESRD) (<xref ref-type="bibr" rid="B6">6</xref>). Besides being a primary cause of ESRD, DKD significantly elevates the risk of cardiovascular events and all-cause mortality in individuals with T2DM (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Recently, advancements in drug therapy for DKD have emerged from research into the pathogenic mechanisms of diabetes mellitus, its complications, and the introduction of new drug classes. One notable drug is GLP-1RA, which induces hypoglycemic effects by boosting insulin secretion and suppressing glucagon secretion (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), while also ameliorating lipid and blood pressure levels (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Research indicates that this drug class markedly lowers the risk of kidney-related composite endpoints, such as progression to macroalbuminuria, doubling of serum creatinine, ESRD, and kidney disease-related mortality, compared to those by placebo (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>Polyethylene glycol loxenatide (PEG-Loxe), approved in 2019, is a once-weekly GLP-1RA formulation derived from amino acid and polyethylene glycol (PEG) modifications of exendin-4 (<xref ref-type="bibr" rid="B14">14</xref>). A prior phase 3 study reported that PEG-Loxe therapy, either alone or combined with metformin for 24 weeks in T2DM patients, showed promising efficacy and safety, evidenced by reductions of 1.14%&#x2013;1.34% in hemoglobin A1c (HbA1c) levels and 10.3%&#x2013;25.0% in gastrointestinal adverse event (AE) rates (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Additionally, a randomized-controlled trial demonstrated that 16 weeks of PEG-Loxe treatment led to an average weight loss of 7.52&#xa0;kg in T2DM patients that were also overweight or obese (<xref ref-type="bibr" rid="B17">17</xref>). However, the efficacy and safety of PEG-Loxe in DKD patients remain unreported and unknown. Thus, this study aimed to assess the efficacy and safety of PEG-Loxe in patients with mild-to-moderate DKD.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study design</title>
<p>This study constituted a single-center, randomized, open-label, clinical trial. Approval for the study was granted by the Institutional Review Board of Sunshine Union Hospital (IRB no.: YGRHLLKY-0005). Prior to inclusion in the study, all patients provided informed consent. Conducted in alignment with the Declaration of Helsinki and Good Clinical Practice, the study was registered with the Chinese Clinical Trial Registry (ChiCTR) (no.: ChiCTR2300070919).</p>
</sec>
<sec id="s2_2">
<title>Study participants</title>
<p>The inclusion criteria included the following:</p>
<list list-type="alpha-lower">
<list-item>
<p>Written informed consent.</p>
</list-item>
<list-item>
<p>Age &#x2265; 18 years with a clinical diagnosis of T2DM.</p>
</list-item>
<list-item>
<p>HbA1c between 7.0% and 10.0%.</p>
</list-item>
<list-item>
<p>estimated glomerular filtration rate (eGFR) ranging from 30 to 90 mL/min/1.73 m<sup>2</sup>.</p>
</list-item>
<list-item>
<p>Urinary albumin-to-creatinine ratio (UACR) &gt;30 mg/g and &#x2264;5,000 mg/g.</p>
</list-item>
<list-item>
<p>Agreement by women to use contraception during the intervention.</p>
</list-item>
</list>
<p>The exclusion criteria included the following:</p>
<list list-type="alpha-lower">
<list-item>
<p>History of diabetic ketoacidosis or type 1 diabetes mellitus.</p>
</list-item>
<list-item>
<p>Severe cardiovascular, cerebrovascular, or hepatic disease.</p>
</list-item>
<list-item>
<p>Renal transplant recipients or patients on dialysis therapy.</p>
</list-item>
<list-item>
<p>Allergy or intolerance to GLP-1RA.</p>
</list-item>
<list-item>
<p>Use of GLP-1RA or SGLT2 inhibitors within 12 weeks before study enrollment.</p>
</list-item>
<list-item>
<p>Severe gastrointestinal disorders.</p>
</list-item>
<list-item>
<p>History of pancreatitis.</p>
</list-item>
</list>
</sec>
<sec id="s2_3">
<title>Randomization and masking</title>
<p>Eligible participants were randomly allocated to one of the two groups for treatment with either PEG-Loxe or dapagliflozin. The randomization was conducted by a statistician using a computer-generated random number sequence, assigning patients to the groups in a 1:1 ratio. During data analysis, statisticians were blinded to the group assignments of the participants.</p>
</sec>
<sec id="s2_4">
<title>Procedures</title>
<p>Each patient&#x2019;s existing treatment regimen was supplemented with either PEG-Loxe or dapagliflozin. PEG-Loxe was administered subcutaneously once weekly. The treatment adhered to a fixed-dose escalation schedule, starting with an initial dose of 0.1 mg for 4 weeks, followed by a maintenance dose of 0.2 mg until study completion. Likewise, dapagliflozin was initiated at 5 mg for 2 weeks, followed by a maintenance dose of 10 mg until the study&#x2019;s conclusion.</p>
<p>Patients were subjected to follow-up examinations at 12 and 24 weeks, encompassing physical examinations and data collection. Demographic data, vital signs, and laboratory results were systematically recorded. Systolic and diastolic blood pressure (SBP and DBP, respectively) measurements were taken using a sphygmomanometer (HBP-1300, OMRON, Dalian, China). Morning fasting blood samples were collected and analyzed in the Laboratory Department of Sunshine Union Hospital. Laboratory examination encompassed UACR, 24-h urine protein, eGFR, HbA1c, fasting plasma glucose (FPG), and a blood lipid panel. Furthermore, all AEs were recorded.</p>
</sec>
<sec id="s2_5">
<title>Outcomes</title>
<p>The primary endpoint focused on the change in UACR from baseline till after 24 weeks of treatment. Secondary endpoints encompassed 24-h urine protein, eGFR, HbA1c, FPG, body weight, total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), SBP, and DBP after 24 weeks of treatment.</p>
</sec>
<sec id="s2_6">
<title>Statistical analysis</title>
<p>The primary outcome assessed was the non-inferiority of PEG-Loxe compared that of to dapagliflozin in terms of UACR change from baseline. A sample size of 64 offered an 80% power to affirm the non-inferiority of UACR change (35% margin), presuming a geometric mean coefficient of variation of 66% (<xref ref-type="bibr" rid="B18">18</xref>) and a bilateral &#x3b1; level of 0.05. The withdrawal rate was established at 20%, resulting in a total sample size of 80.</p>
<p>To evaluate the primary endpoint, a mixed model for repeated measures (MMRM) was employed to compare changes in log-transformed UACR (log UACR) between the two groups. In this model, treatment group, time, and their interaction were considered fixed effects, with baseline log UACR as a covariate. MMRM analysis was also applied to 24-h urine protein, eGFR, HbA1c, FPG, TC, TG, LDL-C, HDL-C, SBP, and DBP. Patients lacking UACR data at 6 months were excluded from the analysis due to the inability to calculate change values. Differences yielding a <italic>p-</italic>value &lt; 0.05 were deemed statistically significant. Statistical analyses were conducted using SAS v. 9.4 software.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>Between April 2023 and July 2023, 106 participants were evaluated for eligibility, with 88 ultimately being included in the study. Throughout the study, three participants withdrew consent, two exited due to AEs, and three were lost to follow-up, culminating in 80 participants completing the study (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> displays the baseline characteristics of both groups. Except for those in LDL-C, there were no statistically significant differences in any parameters between the groups.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Consort flow diagram.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1387993-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">PEG-Loxe (n=40)</th>
<th valign="top" align="left">Dapagliflozin (n=40)</th>
<th valign="top" align="left">
<italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Women, N (%)</td>
<td valign="top" align="left">22 (55.0)</td>
<td valign="top" align="left">17 (42.5)</td>
<td valign="top" align="left">0.263</td>
</tr>
<tr>
<td valign="top" align="left">Age, y</td>
<td valign="top" align="left">51.0 (9.3)</td>
<td valign="top" align="left">48.4 (10.1)</td>
<td valign="top" align="left">0.230</td>
</tr>
<tr>
<td valign="top" align="left">Duration, y</td>
<td valign="top" align="left">7.8 (3.9)</td>
<td valign="top" align="left">7.3 (3.7)</td>
<td valign="top" align="left">0.515</td>
</tr>
<tr>
<td valign="top" align="left">Body weight, kg</td>
<td valign="top" align="left">75.6 (10.6)</td>
<td valign="top" align="left">77.2 (8.1)</td>
<td valign="top" align="left">0.436</td>
</tr>
<tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup>
</td>
<td valign="top" align="left">26.4 (1.4)</td>
<td valign="top" align="left">26.3 (1.6)</td>
<td valign="top" align="left">0.765</td>
</tr>
<tr>
<td valign="top" align="left">HbA1c, %</td>
<td valign="top" align="left">8.31 (0.71)</td>
<td valign="top" align="left">8.31 (0.77)</td>
<td valign="top" align="left">0.976</td>
</tr>
<tr>
<td valign="top" align="left">FPG, mmol/L</td>
<td valign="top" align="left">9.45 (1.02)</td>
<td valign="top" align="left">9.58 (1.19)</td>
<td valign="top" align="left">0.616</td>
</tr>
<tr>
<td valign="top" align="left">UACR, mg/g</td>
<td valign="top" align="left">108.5 (79.3-150.8)</td>
<td valign="top" align="left">106.5 (77.0-197.3)</td>
<td valign="top" align="left">0.965</td>
</tr>
<tr>
<td valign="top" align="left">eGFR, ml/min/1.73 m<sup>2</sup>
</td>
<td valign="top" align="left">68.2 (9.3)</td>
<td valign="top" align="left">67.9 (12.3)</td>
<td valign="top" align="left">0.902</td>
</tr>
<tr>
<td valign="top" align="left">24-hour urinary protein, mg</td>
<td valign="top" align="left">222.5 (64.5)</td>
<td valign="top" align="left">238.1 (96.3)</td>
<td valign="top" align="left">0.398</td>
</tr>
<tr>
<td valign="top" align="left">TC, mmol/L</td>
<td valign="top" align="left">5.90 (1.15)</td>
<td valign="top" align="left">5.73 (1.07)</td>
<td valign="top" align="left">0.498</td>
</tr>
<tr>
<td valign="top" align="left">TG, mmol/L</td>
<td valign="top" align="left">2.85 (0.65)</td>
<td valign="top" align="left">2.88 (0.76)</td>
<td valign="top" align="left">0.876</td>
</tr>
<tr>
<td valign="top" align="left">LDL-C, mmol/L</td>
<td valign="top" align="left">3.69 (0.48)</td>
<td valign="top" align="left">3.50 (0.35)</td>
<td valign="top" align="left">0.048</td>
</tr>
<tr>
<td valign="top" align="left">HDL-C, mmol/L</td>
<td valign="top" align="left">0.93 (0.15)</td>
<td valign="top" align="left">0.93 (0.12)</td>
<td valign="top" align="left">0.954</td>
</tr>
<tr>
<td valign="top" align="left">SBP, mmHg</td>
<td valign="top" align="left">137.1 (13.6)</td>
<td valign="top" align="left">135.7 (14.1)</td>
<td valign="top" align="left">0.653</td>
</tr>
<tr>
<td valign="top" align="left">DBP, mmHg</td>
<td valign="top" align="left">96.7 (10.5)</td>
<td valign="top" align="left">94.3 (11.8)</td>
<td valign="top" align="left">0.340</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Antidiabetic drugs, N (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Biguanides</td>
<td valign="top" align="left">20 (50.0)</td>
<td valign="top" align="left">23 (57.5)</td>
<td valign="top" align="left">0.501</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;SU/glinides</td>
<td valign="top" align="left">12 (30.0)</td>
<td valign="top" align="left">13 (32.5)</td>
<td valign="top" align="left">0.809</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;AGI</td>
<td valign="top" align="left">23 (57.5)</td>
<td valign="top" align="left">20 (50.0)</td>
<td valign="top" align="left">0.501</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TZD</td>
<td valign="top" align="left">12 (30.0)</td>
<td valign="top" align="left">18 (45.0)</td>
<td valign="top" align="left">0.166</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Insulin</td>
<td valign="top" align="left">20 (50.0)</td>
<td valign="top" align="left">20 (50.0)</td>
<td valign="top" align="left">1.000</td>
</tr>
<tr>
<td valign="top" align="left">ACEI/ARB, N (%)</td>
<td valign="top" align="left">19 (47.5)</td>
<td valign="top" align="left">18 (45.0)</td>
<td valign="top" align="left">0.823</td>
</tr>
<tr>
<td valign="top" align="left">Diuretics, N (%)</td>
<td valign="top" align="left">3 (7.5)</td>
<td valign="top" align="left">2 (5.0)</td>
<td valign="top" align="left">0.644</td>
</tr>
<tr>
<td valign="top" align="left">Lipid-lowering agent, N (%)</td>
<td valign="top" align="left">19 (47.5)</td>
<td valign="top" align="left">23 (57.5)</td>
<td valign="top" align="left">0.371</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; HbA1c, glycated hemoglobin; FPG, fasting plasma glucose; UACR, urinary albumin-to-creatinine ratio; eGFR, estimated glomerular filtration rate; TC, total cholesterol; TG, triglycerides; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; SBP, systolic blood pressure; DBP, diastolic blood pressure; SU, Sulfonylurea; AGI, alpha-glucosidase inhibitor; TZD, thiazolidinedione; ACEI/ARB, angiotensin-converting enzyme inhibitors/Angiotension II receptor blockers. Data are mean (SD) or median (interquartile range).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Initially, the median UACR stood at 108.5 mg/g in the PEG-Loxe group (interquartile range [IQR]: 79.3&#x2013;150.8) and 106.5 mg/g in the dapagliflozin group (IQR: 77.0&#x2013;197.3). Following 24 weeks of treatment, the PEG-Loxe group exhibited a mean percent change in baseline UACR of &#x2212;29.3% (95% confidence interval [CI]: &#x2212;34.8, &#x2212;23.7), compared to that of &#x2212;31.8% in the dapagliflozin group (95% CI: &#x2212;34.8, &#x2212;23.7). The intergroup difference was 2.6% (95% CI: &#x2212;5.3, &#x2212;10.4), a non-statistically significant variation (<italic>p</italic> = 0.336). After 24 weeks of treatment, the change in eGFR was 6.3 mL/min/1.73 m<sup>2</sup> (4.4, 8.2) in the PEG-Loxe group and 7.2 mL/min/1.73 m<sup>2</sup> (5.3, 9.1) in the dapagliflozin group. The difference between the groups was &#x2212;0.9 mL/min/1.73 m<sup>2</sup> (&#x2212;3.6, 1.8), which was not statistically significant (<italic>p</italic> = 0.504). The intergroup difference in 24-h urine protein was &#x2212;0.6 mg (&#x2212;19.2, 18.1; <italic>p</italic> = 0.953) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Primary and secondary endpoints at week 24.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">PEG-Loxe (n=40)</th>
<th valign="top" align="center">Dapagliflozin (n=40)</th>
<th valign="top" align="center">Between-Group Difference<break/>(95% CI)</th>
<th valign="top" align="center">
<italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">UACR, mg/g</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">108.5 (79.3-150.8)</td>
<td valign="top" align="center">106.5 (77.0-197.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">75.0 (57.3-119.3)</td>
<td valign="top" align="center">76.5 (41.0-153.8)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-29.3 (-34.8, -23.7)</td>
<td valign="top" align="center">-31.8 (-34.8, -23.7)</td>
<td valign="top" align="center">2.6 (-5.3, -10.4)</td>
<td valign="top" align="center">0.336</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">eGFR, ml/min/1.73 m<sup>2</sup>
</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">68.2 (9.3)</td>
<td valign="top" align="center">67.9 (12.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">74.4 (10.9)</td>
<td valign="top" align="center">75.0 (12.6)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">6.3 (4.4, 8.2)</td>
<td valign="top" align="center">7.2 (5.3, 9.1)</td>
<td valign="top" align="center">-0.9 (-3.6, 1.8)</td>
<td valign="top" align="center">0.504</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">24-hour urinary protein, mg</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">222.5 (64.5)</td>
<td valign="top" align="center">238.1 (96.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">182.2 (63.1)</td>
<td valign="top" align="center">195.1 (88.8)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-41.9 (-55.1, -28.8)</td>
<td valign="top" align="center">-41.4 (-54.6, -28.2)</td>
<td valign="top" align="center">-0.6 (-19.2, 18.1)</td>
<td valign="top" align="center">0.953</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">HbA1c, %</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">8.31 (0.71)</td>
<td valign="top" align="center">8.31 (0.77)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">7.01 (0.50)</td>
<td valign="top" align="center">7.01 (0.69)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-1.30 (-1.43, -1.18)</td>
<td valign="top" align="center">-1.29 (-1.42, -1.17)</td>
<td valign="top" align="center">-0.01 (-0.19, 0.17)</td>
<td valign="top" align="center">0.905</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">FPG, mmol/L</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">9.45 (1.02)</td>
<td valign="top" align="center">9.58 (1.19)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">7.23 (0.58)</td>
<td valign="top" align="center">7.50 (0.82)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-2.26 (-2.45, -2.08)</td>
<td valign="top" align="center">-2.04 (-2.22, -1.85)</td>
<td valign="top" align="center">-0.23 (-0.49, 0.03)</td>
<td valign="top" align="center">0.083</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Body weight, kg</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">75.6 (10.6)</td>
<td valign="top" align="center">77.2 (8.1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">71.8 (9.3)</td>
<td valign="top" align="center">74.1 (7.9)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-3.9 (-4.7, -3.1)</td>
<td valign="top" align="center">-3.1 (-3.9, -2.3)</td>
<td valign="top" align="center">-0.8 (-1.9, 0.3)</td>
<td valign="top" align="center">0.151</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">TC, mmol/L</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">5.90 (1.15)</td>
<td valign="top" align="center">5.73 (1.07)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">4.79 (1.01)</td>
<td valign="top" align="center">4.85 (0.93)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-1.08 (-1.30, -0.87)</td>
<td valign="top" align="center">-0.92 (-1.14, -0.70)</td>
<td valign="top" align="center">-0.16 (-0.47, 0.15)</td>
<td valign="top" align="center">0.299</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">TG, mmol/L</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">2.85 (0.65)</td>
<td valign="top" align="center">2.88 (0.76)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">2.29 (0.73)</td>
<td valign="top" align="center">2.54 (0.87)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-0.56 (-0.71, -0.42)</td>
<td valign="top" align="center">-0.33 (-0.48, -0.19)</td>
<td valign="top" align="center">-0.23 (-0.44, -0.02)</td>
<td valign="top" align="center">0.032</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">LDL-C, mmol/L</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">3.69 (0.48)</td>
<td valign="top" align="center">3.50 (0.35)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">2.80 (0.58)</td>
<td valign="top" align="center">2.69 (0.60)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-0.86 (-1.03, -0.68)</td>
<td valign="top" align="center">-0.86 (-1.03, -0.68)</td>
<td valign="top" align="center">0.00 (-0.25, 0.25)</td>
<td valign="top" align="center">0.989</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">HDL-C, mmol/L</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">0.93 (0.15)</td>
<td valign="top" align="center">0.93 (0.12)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">0.97 (0.12)</td>
<td valign="top" align="center">1.00 (0.11)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">0.05 (0.02, 0.07)</td>
<td valign="top" align="center">0.07 (0.05, 0.09)</td>
<td valign="top" align="center">-0.02 (-0.06, 0.01)</td>
<td valign="top" align="center">0.179</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">SBP, mmHg</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">137.1 (13.6)</td>
<td valign="top" align="center">135.7 (14.1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">129.6 (9.17)</td>
<td valign="top" align="center">131.4 (10.7)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-7.2 (-9.1, -5.4)</td>
<td valign="top" align="center">-4.6 (-6.5, -2.7)</td>
<td valign="top" align="center">-2.6 (-5.3, 0.0)</td>
<td valign="top" align="center">0.053</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">DBP, mmHg</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">96.7 (10.5)</td>
<td valign="top" align="center">94.3 (11.8)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 24</td>
<td valign="top" align="center">91.3 (8.1)</td>
<td valign="top" align="center">90.4 (9.4)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-4.4 (-6.2, -2.5)</td>
<td valign="top" align="center">-4.3 (-6.1, -2.5)</td>
<td valign="top" align="center">-0.1 (-2.7, 2.5)</td>
<td valign="top" align="center">0.956</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; HbA1c, glycated hemoglobin; FPG, fasting plasma glucose; UACR, urinary albumin-to-creatinine ratio; eGFR, estimated glomerular filtration rate; TC, total cholesterol; TG, triglycerides; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; SBP, systolic blood pressure; DBP, diastolic blood pressure. UACR has been log-transformed for statistical analysis and back-transformed for presentation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Following 24 weeks of treatment, HbA1c levels decreased by &#x2212;1.30% (&#x2212;1.43, &#x2212;1.18) in the PEG-Loxe group and by &#x2212;1.29% (&#x2212;1.42, &#x2212;1.17) in the dapagliflozin group (<italic>p</italic> = 0.905), while FPG levels decreased by &#x2212;2.26 mmol/L (&#x2212;2.45, &#x2212;2.08) in the PEG-Loxe group and &#x2212;2.04 mmol/L (&#x2212;2.22, &#x2212;1.85) in the dapagliflozin group (<italic>p</italic> = 0.083). The weight change difference between the PEG-Loxe and dapagliflozin groups was &#x2212;0.8 kg (&#x2212;1.9, 0.3), lacking statistical significance (<italic>p</italic> = 0.151) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>Regarding blood lipids and blood pressure, TG levels decreased by &#x2212;0.56 mmol/L (&#x2212;0.71, &#x2212;0.42) in the PEG-Loxe group and &#x2212;0.33 mmol/L (&#x2212;0.48, &#x2212;0.19) in the dapagliflozin group. The intergroup difference was &#x2212;0.23 mmol/L (&#x2212;0.44, &#x2212;0.02) (<italic>p</italic> = 0.023). Differences in TC, HDL-C, LDL-C, SBP, and DBP levels between the groups were not statistically significant (all <italic>p</italic> &gt; 0.05) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> presents efficacy indicators at 12 weeks of treatment, mirroring those observed at 24 weeks. In terms of safety, the drug was generally well-tolerated, with AEs aligning with expectations. Gastrointestinal AEs occurred more frequently with PEG-Loxe, while urinary tract infections were more prevalent with dapagliflozin (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Efficacy endpoints at week 12.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">PEG-Loxe (n=40)</th>
<th valign="top" align="center">Dapagliflozin (n=40)</th>
<th valign="top" align="center">Between-Group Difference<break/>(95% CI)</th>
<th valign="top" align="center">
<italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">UACR, mg/g</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">108.5 (79.3-150.8)</td>
<td valign="top" align="center">106.5 (77.0-197.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">86.0 (68.8-122.5)</td>
<td valign="top" align="center">87.5 (54.3-166.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-18.3 (-21.7, -23.7)</td>
<td valign="top" align="center">-20.1 (-16.7, -23.4)</td>
<td valign="top" align="center">1.7 (-3.0, 6.5)</td>
<td valign="top" align="center">0.380</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">eGFR, ml/min/1.73 m<sup>2</sup>
</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">68.2 (9.3)</td>
<td valign="top" align="center">67.9 (12.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">72.0 (10.7)</td>
<td valign="top" align="center">72.9 (12.4)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">3.9 (2.5, 5.2)</td>
<td valign="top" align="center">5.0 (3.7, 6.4)</td>
<td valign="top" align="center">-1.2 (-3.1, 0.8)</td>
<td valign="top" align="center">0.227</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">24-hour urinary protein, mg</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">222.5 (64.5)</td>
<td valign="top" align="center">238.1 (96.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">194.4 (58.0)</td>
<td valign="top" align="center">207.3 (78.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-29.8 (-38.1, -21.6)</td>
<td valign="top" align="center">-29.1 (-37.3, -20.8)</td>
<td valign="top" align="center">-0.8 (-12.5, 10.9)</td>
<td valign="top" align="center">0.895</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">HbA1c, %</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">8.31 (0.71)</td>
<td valign="top" align="center">8.31 (0.77)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">7.34 (0.58)</td>
<td valign="top" align="center">7.42 (0.80)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-0.94 (-1.06, -0.82)</td>
<td valign="top" align="center">-0.89 (-1.01, -0.77)</td>
<td valign="top" align="center">-0.06 (-0.23, 0.11)</td>
<td valign="top" align="center">0.512</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">FPG, mmol/L</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">9.45 (1.02)</td>
<td valign="top" align="center">9.58 (1.19)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">7.92 (0.64)</td>
<td valign="top" align="center">7.98 (0.85)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-1.57 (-1.76, -1.38)</td>
<td valign="top" align="center">-1.57 (-1.76, -1.38)</td>
<td valign="top" align="center">-0.01 (-0.28, 0.26)</td>
<td valign="top" align="center">0.962</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Body weight, kg</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">75.6 (10.6)</td>
<td valign="top" align="center">77.2 (8.1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">73.3 (10.0)</td>
<td valign="top" align="center">75.3 (7.8)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-2.4 (-2.9, -1.8)</td>
<td valign="top" align="center">-1.9 (-2.5, -1.4)</td>
<td valign="top" align="center">-0.5 (-1.2, 0.3)</td>
<td valign="top" align="center">0.244</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">TC, mmol/L</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">5.90 (1.15)</td>
<td valign="top" align="center">5.73 (1.07)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">5.09 (1.11)</td>
<td valign="top" align="center">5.08 (0.92)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-0.79 (-0.96, -0.63)</td>
<td valign="top" align="center">-0.679 (-0.83, -0.51)</td>
<td valign="top" align="center">-0.12 (-0.36, 0.11)</td>
<td valign="top" align="center">0.291</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">TG, mmol/L</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">2.85 (0.65)</td>
<td valign="top" align="center">2.88 (0.76)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">2.42 (0.69)</td>
<td valign="top" align="center">2.59 (0.78)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-0.43 (-0.55, -0.32)</td>
<td valign="top" align="center">-0.29 (-0.40, -0.17)</td>
<td valign="top" align="center">-0.15 (-0.31, 0.02)</td>
<td valign="top" align="center">0.080</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">LDL-C, mmol/L</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">3.69 (0.48)</td>
<td valign="top" align="center">3.50 (0.35)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">3.10 (0.50)</td>
<td valign="top" align="center">2.99 (0.46)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-0.57 (-0.69, -0.45)</td>
<td valign="top" align="center">-0.54 (-0.66, -0.42)</td>
<td valign="top" align="center">-0.02 (-0.20, 0.15)</td>
<td valign="top" align="center">0.784</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">HDL-C, mmol/L</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">0.93 (0.15)</td>
<td valign="top" align="center">0.93 (0.12)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">0.95 (0.14)</td>
<td valign="top" align="center">0.98 (0.14)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">0.03 (0.00, 0.05)</td>
<td valign="top" align="center">0.05 (0.03, 0.08)</td>
<td valign="top" align="center">-0.03 (-0.06, 0.01)</td>
<td valign="top" align="center">0.157</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">SBP, mmHg</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">137.1 (13.6)</td>
<td valign="top" align="center">135.7 (14.1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">132.1 (11.1)</td>
<td valign="top" align="center">132.5 (12.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-5.0 (-6.5, -3.4)</td>
<td valign="top" align="center">-3.3 (-4.9, -1.7)</td>
<td valign="top" align="center">-1.6 (-3.9, 0.6)</td>
<td valign="top" align="center">0.149</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">DBP, mmHg</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">96.7 (10.5)</td>
<td valign="top" align="center">94.3 (11.8)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Week 12</td>
<td valign="top" align="center">93.7 (8.7)</td>
<td valign="top" align="center">92.5 (10.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change from baseline (%) (95% CI)</td>
<td valign="top" align="center">-2.7 (-4.1, -1.3)</td>
<td valign="top" align="center">-2.1 (-3.5, -0.7)</td>
<td valign="top" align="center">-0.6 (-2.6, 1.3)</td>
<td valign="top" align="center">0.521</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; HbA1c, glycated hemoglobin; FPG, fasting plasma glucose; UACR, urinary albumin-to-creatinine ratio; eGFR, estimated glomerular filtration rate; TC, total cholesterol; TG, triglycerides; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; SBP, systolic blood pressure; DBP, diastolic blood pressure. UACR has been log-transformed for statistical analysis and back-transformed for presentation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Summary of safety.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">PEG-Loxe,<break/>No. (%)<break/>(n=40)</th>
<th valign="top" align="left">Dapagliflozin,<break/>No. (%)<break/>(n=40)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Any AE</td>
<td valign="top" align="left">8 (20.0)</td>
<td valign="top" align="left">7 (17.5)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Any SAE</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Death</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="left">0 (0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other</td>
<td valign="top" align="left">1 (2.5)</td>
<td valign="top" align="left">1 (2.5)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">AE by severity</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Severe</td>
<td valign="top" align="left">1 (2.5)</td>
<td valign="top" align="left">2 (5.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Moderate</td>
<td valign="top" align="left">2 (5.0)</td>
<td valign="top" align="left">1 (2.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mild</td>
<td valign="top" align="left">5 (12.5)</td>
<td valign="top" align="left">4 (19.2)</td>
</tr>
<tr>
<td valign="top" align="left">Discontinuation because of AEs</td>
<td valign="top" align="left">1 (2.5)</td>
<td valign="top" align="left">1 (2.5)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">AEs reported in &#x2265;5% of patients by SOC/PT</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Gastrointestinal disorders</td>
<td valign="top" align="left">7 (17.5)</td>
<td valign="top" align="left">1 (2.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Nausea</td>
<td valign="top" align="left">4 (10.0)</td>
<td valign="top" align="left">0 (0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Vomiting</td>
<td valign="top" align="left">1 (2.5)</td>
<td valign="top" align="left">0 (0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Diarrhea</td>
<td valign="top" align="left">2 (5.0)</td>
<td valign="top" align="left">1 (2.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Infections and infestations</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="left">5 (9.6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Urinary tract infection</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="left">5 (9.6)</td>
</tr>
<tr>
<td valign="top" align="left">Hypoglycemia</td>
<td valign="top" align="left">1 (2.5)</td>
<td valign="top" align="left">1 (2.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Level 1</td>
<td valign="top" align="left">1 (2.5)</td>
<td valign="top" align="left">1 (2.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Level 2</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="left">0 (0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Level 3</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="left">0 (0)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AE, adverse event; SAE, serious adverse event; SOC, system organ class; PT, preferred term.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>To the best of our knowledge, this study presents the first direct comparison of PEG-Loxe and dapagliflozin in patients with mild-to-moderate DKD. This single-center, randomized, open-label clinical trial demonstrated that PEG-Loxe&#x2019;s efficacy in reducing proteinuria was comparable to that of dapagliflozin in patients with mild-to-moderate DKD. Furthermore, PEG-Loxe also offered the advantage of enhancing blood lipid levels.</p>
<p>GLP-1 RA, a novel class of glucose-lowering agents, has demonstrated cardiorenal protection in T2DM patients in trials focusing on cardiovascular outcomes (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). Clinical guidelines endorse GLP-1 RA as the primary glucose-lowering agents for treating T2DM patients with concurrent atherosclerotic cardiovascular disease and as a secondary option for DKD treatment (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B22">22</xref>). A previous study reported that 24 weeks of liraglutide treatment led to a 13.2% reduction in UACR in T2DM patients with a baseline UACR of 24.8 mg/g (<xref ref-type="bibr" rid="B23">23</xref>). For T2DM patients with concurrent moderate-to-severe chronic kidney disease, 26 weeks of dulaglutide treatment resulted in a 27.7% decrease in UACR (<xref ref-type="bibr" rid="B24">24</xref>). In T2DM patients with a baseline UACR of 135 mg/g, a 26-week semaglutide treatment regimen led to a 14% reduction in UACR (<xref ref-type="bibr" rid="B25">25</xref>). In this study, the baseline UACR in the PEG-Loxe group was 108.5 mg/g, and it decreased by 29.3% after 6 months of treatment, indicating renoprotective effects of PEG-Loxe akin to other GLP-1 RAs.</p>
<p>SGLT2 inhibitors (SGLT2i), such as dapagliflozin, are universally recommended as first-line therapeutic agents in DKD treatment, supported by large-scale studies demonstrating cardiac and renal benefits (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>). A meta-analysis encompassing 16 clinical studies with T2DM patients having a baseline eGFR of 30&#x2013;90 mL/min/1.73 m<sup>2</sup> revealed that over 2 years, SGLT2i reduced UACR by 17%&#x2013;33%, while GLP-1 RA achieved a 19%&#x2013;22% reduction. Overall, the effect of SGLT2i in reducing urine protein levels was comparable to or marginally more potent than that of GLP-1 RA (<xref ref-type="bibr" rid="B30">30</xref>). This study also involved patients with a baseline eGFR of 30&#x2013;90 mL/min/1.73 m<sup>2</sup>, where 6 months of treatment with dapagliflozin and PEG-Loxe led to UACR reductions of 31.8% and 29.3%, respectively, aligning with previous findings that PEG-Loxe and dapagliflozin have comparable efficacy in improving urine protein levels. This study suggests that PEG-Loxe may be considered for patients with mild-to-moderate DKD if SGLT2i is insufficient to meet glycemic targets or not tolerated.</p>
<p>Regarding glycemic control, a meta-analysis of 315 trials (involving 35,022 patients) revealed no significant disparity in the efficacy of GLP-1 RA and SGLT2i in reducing HbA1c levels; however, GLP-1 RA was more effective in lowering fasting glucose levels than SGLT2i (<xref ref-type="bibr" rid="B31">31</xref>). GLP-1 RA regulates blood glucose levels via various mechanisms, such as by enhancing insulin secretion and inhibiting glucagon secretion in a glucose concentration-dependent manner, alongside delaying gastric emptying and diminishing food intake through central appetite suppression (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). This multifaceted approach might account for GLP-1 RA&#x2019;s superior glycemic control compared to that by SGLT2i&#x2019;s singular glucose-lowering mechanism SGLT2i. While the reduction in FPG levels in the PEG-Loxe group was not significantly different from that in the SGLT2i group in this study, PEG-Loxe seemed to marginally outperform dapagliflozin in lowering FPG.</p>
<p>Both GLP-1 RA and SGLT2i are effective in improving lipid levels (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). A meta-analysis comprising 25 studies with 1,595 non-alcoholic fatty liver disease patients showed that GLP-1RA reduced TG levels more effectively than SGLT2i; however, the effect on TC, HDL-C, and LDL-C levels was similar for both (<xref ref-type="bibr" rid="B36">36</xref>). The current study yielded similar findings in patients with mild-to-moderate DKD. Compared to that by dapagliflozin, PEG-Loxe exhibited a more pronounced reduction in TG, with no significant differences in TC, HDL-C, and LDL-C levels between the groups. This finding indicates that PEG-Loxe surpasses dapagliflozin in improving lipid levels in patients with mild-to-moderate DKD.</p>
<p>Prior to this study, the safety of PEG-Loxe in treating patients with mild-to-moderate DKD was not reported. In this study, the AEs in the PEG-Loxe group were mainly gastrointestinal, with no unexpected AEs being noted. This observation aligns with previous safety outcomes observed in T2DM patients and those with T2DM that are also overweight or obese (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>), suggesting that PEG-Loxe can be safely used to treat patients with mild-to-moderate DKD.</p>
<p>The study has the following limitations. First, this study assessed only the short-term efficacy results over 24 weeks, without assessing long-term efficacy. Second, the sample size was small, which necessitates validation of the findings with larger cohorts in future studies. Third, the single-center, open-label design of the study could have potentially introduced reporting bias.</p>
<p>In conclusion, the findings of this randomized clinical trial demonstrated that the efficacy of PEG-Loxe in reducing urine protein in mild-to-moderate DKD patients was akin to that of dapagliflozin, with the added benefit of improving lipid levels. These findings offer significant evidence-based research for the use of PEG-Loxe in DKD patients.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Institutional Review Board of Sunshine Union Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YC: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SC: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JGZ: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JQZ: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YZ: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YL: Methodology, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors declare that this study received funding from Jiangsu Hansoh Pharmaceutical Group Co., Ltd. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Yale Duan for assistance with statistical analyses.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<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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