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<front>
<journal-meta>
<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>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1631055</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1631055</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comparison of the efficacy and safety of low-dose calcineurin inhibitors plus sirolimus plus mycophenolic acid with the standard-dose calcineurin inhibitors plus mycophenolic acid regimen in patients who received kidney transplants</article-title>
<alt-title alt-title-type="left-running-head">Li 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.2025.1631055">10.3389/fphar.2025.1631055</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wan</surname>
<given-names>Jiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yizhi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Fang</surname>
<given-names>Jiali</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Guanghui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Junjie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Zheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3071706/overview"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Organ Transplantation, The Second Affiliated Hospital of Guangzhou Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Urology, Maoming People&#x2019;s Hospital</institution>, <addr-line>Maoming</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/798305/overview">Krishna M. Boini</ext-link>, University of Houston, United States</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/1585794/overview">Wenlong Sun</ext-link>, Shandong University of Technology, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/659916/overview">Yuan-Hung Wang</ext-link>, Taipei Medical University, Taiwan</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Zheng Chen, <email>tgyxcz123@163.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1631055</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Li, Wan, Li, Fang, Li, Ma and Chen.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Li, Wan, Li, Fang, Li, Ma and Chen</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>Background</title>
<p>Sirolimus (SRL) has shown its anti-rejection and renoprotective efficacy in patients with kidney transplantation. However, more evidence is still needed. The current study aimed to evaluate the efficacy and safety of an SRL-containing regimen in patients who received kidney transplants.</p>
</sec>
<sec>
<title>Methods</title>
<p>Fifty patients with end-stage renal disease who received kidney transplants were enrolled and divided into the calcineurin inhibitors (CNI) &#x2b; mycophenolic acid (MPA)&#x2b; glucocorticoid (<italic>N &#x3d;</italic> 22) and CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid groups (<italic>N &#x3d;</italic> 28) according to the actual regimen that they received. The minimal plasma concentration of tacrolimus and cyclosporin was maintained at 6&#x2013;10&#xa0;ng/mL and 150&#x2013;250&#xa0;ng/mL in the CNI &#x2b; MPA &#x2b; glucocorticoid group and 4&#x2013;6&#xa0;ng/mL and 75&#x2013;125&#xa0;ng/mL in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group. The minimal plasma concentration of SRL was maintained at 5&#x2013;8&#xa0;ng/mL.</p>
</sec>
<sec>
<title>Results</title>
<p>The Cr at month (M)6, M12, and uric acid at M3 were lower, while the eGFR at M12 was higher in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group (all <italic>P</italic> &#x3c; 0.05). The acute rejection rate showed a lower trend in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group without statistical significance. The urine BK virus at M3, M6, M9, and M12 was lower in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group (all <italic>P</italic> &#x3c; 0.05). Incidence of most adverse events was similar between groups, except that BK virus was lower in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group (0.0% vs. 36.4%, <italic>P</italic> &#x3c; 0.01).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Low-dose CNI combined with SRL regimen as the initial anti-rejection regimen indicates a comparable anti-rejection and better renoprotective efficacy with a satisfying safety profile compared with the standard regimen.</p>
</sec>
</abstract>
<kwd-group>
<kwd>calcineurin inhibitors</kwd>
<kwd>sirolimus</kwd>
<kwd>kidney transplant</kwd>
<kwd>renoprotective</kwd>
<kwd>safety</kwd>
</kwd-group>
<counts>
<page-count count="9"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Renal Pharmacology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Kidney transplantation is the most promising therapeutic approach for patients with end-stage renal disease (ESRD), which prolongs survival and improves the quality of life compared to long-term dialysis (<xref ref-type="bibr" rid="B1">Abramyan and Hanlon, 2025</xref>; <xref ref-type="bibr" rid="B4">Dash et al., 2023</xref>; <xref ref-type="bibr" rid="B11">Kostro et al., 2016</xref>; <xref ref-type="bibr" rid="B16">Molnar et al., 2016</xref>). During the post-transplantation period, anti-rejection therapy plays an important role in determining the graft and patients&#x2019; survival (<xref ref-type="bibr" rid="B9">Khan et al., 2025</xref>; <xref ref-type="bibr" rid="B23">Shokeir et al., 2021</xref>). Calcineurin inhibitors (CNIs), represented by tacrolimus and cyclosporine, are commonly used in preventing acute rejection post transplantation (<xref ref-type="bibr" rid="B7">Kajdas et al., 2025</xref>; <xref ref-type="bibr" rid="B15">Mok et al., 2025</xref>). Despite their efficacy, it should not neglected that the CNIs might induce the serious side effects, such as the nephrotoxicity, which would finally cause the graft loss and other adverse events including the hypertension, hyperlipidemia, and post-transplant malignancies (<xref ref-type="bibr" rid="B6">Hansen et al., 2025</xref>; <xref ref-type="bibr" rid="B18">Oliveras et al., 2024</xref>). Therefore, it is urgent to explore the alternative immunosuppressive drugs with fewer adverse events in these patients.</p>
<p>Rapamycin (sirolimus, SRL) is an mTOR inhibitor, which shows the reduced nephrotoxicity and anti-proliferative properties; therefore, it is considered to be a promising alternative to CNIs (<xref ref-type="bibr" rid="B2">Chen et al., 2013</xref>; <xref ref-type="bibr" rid="B21">Pr&#xe9;terre et al., 2021</xref>). In recent studies, SRL combined with CNIs might help to reduce the dosage of CNIs, which subsequently reduces the incidence of post-transplant adverse events and improves graft survival. For instance, it is shown that converting to an SRL-containing regimen might elevate the renal function in patients after kidney transplantation (<xref ref-type="bibr" rid="B20">Pankewycz et al., 2011</xref>). Apart from that, the anti-BK virus of sirolimus should also be noticed (<xref ref-type="bibr" rid="B14">Liacini et al., 2010</xref>). In recent studies, it indicates that the SRL might reduce the BK virus to 4.3%, which is lower than the 17.9% of tacrolimus in kidney transplant recipients (<xref ref-type="bibr" rid="B26">Tohme et al., 2015</xref>). However, the evidence about applying the SRL-containing regimen in post-kidney-transplant patients is still inadequate, which largely affects its clinical application.</p>
<p>Hence, the current study aimed to evaluate the efficacy and safety of an SRL-containing regimen in patients who received kidney transplants.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Patients</title>
<p>Fifty patients with end-stage renal disease who received kidney transplants from 26 April 2022 to 11 October 2023 were enrolled in the prospective study. The inclusion criteria contained: (1) end-stage renal disease patients; (2) aged 18&#x2013;70&#xa0;years; (3) firstly received kidney transplants from deceased donors or living donors; (4) preoperative panel reactive antibody &#x2264;10%; (5) estimated glomerular filtration rate (eGFR) &#x2265;40&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>. The exclusion criteria contained: (1) had active infections; (2) had infiltrates, cavitation, or consolidation by chest X-ray; (3) had focal segmental glomerulosclerosis or membranoproliferative glomerulonephritis; (4) underwent multi-organ transplants; (5) fasting triglyceride &#x2265;4.6&#xa0;mmol/L and/or cholesterol &#x2265;7.8&#xa0;mmol/L; (6) 24-h urinary protein excretion &#x3e;500&#xa0;mg daily; (7) had active hepatitis B or C infections; (8) had human immunodeficiency virus (HIV) seropositivity; (9) used other investigational drugs before enrollment; (10) had malignancy histories within 3&#xa0;years (excluding well-treated basal cell carcinoma and squamous cell carcinoma); (11) donation from monozygotic twins; (12) intended to use substances with strong interactions of SRL; (13) pregnant, planning pregnancy, or breastfeeding females; (14) had any conditions deemed clinically inappropriate for participation by the investigators. The study was permitted by the Ethics Committee (2021-hs-77). All patients offered written informed consent.</p>
</sec>
<sec id="s2-2">
<title>2.2 Treatments</title>
<p>Based on the different treatment regimens after kidney transplants, the patients were divided into CNI &#x2b; mycophenolic acid (MPA) &#x2b; glucocorticoid and CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid groups.</p>
<p>For the CNI &#x2b; MPA &#x2b; glucocorticoid group, patients received CNI (tacrolimus (TAC) or cyclosporin (CsA)), MPA (mycophenolate mofetil (MMF) or enteric-coated mycophenolate sodium (EC-MPS)), and glucocorticoid (prednisone and methylprednisolone) until 1&#xa0;year after kidney transplants. The minimal plasma concentration of TAC was recommended as 6&#x2013;10&#xa0;ng/mL, CsA as 150&#x2013;250&#xa0;ng/mL, the dose of MMF as 1&#x2013;2&#xa0;g/d, EC-MPS as 1,080&#x2013;1,440&#xa0;mg daily, and prednisone as 5&#x2013;10&#xa0;mg daily. Then, patients continually received CNI, MPA, and glucocorticoid until 2&#xa0;years after kidney transplants. The minimal plasma concentration of TAC was recommended as 5&#x2013;7&#xa0;ng/mL, and CsA as 100&#x2013;200&#xa0;ng/mL. The doses of MMF, EC-MPS, and prednisone were maintained.</p>
<p>For the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group, patients received CNI, MPA, and glucocorticoid with the same dosage of CNI &#x2b; MPA &#x2b; glucocorticoid group until 2&#xa0;weeks (W2) after kidney transplants. Then, patients received low-dose CNI, SRL, MPA, and glucocorticoid until 1&#xa0;year after kidney transplants. The TAC dose was reduced by 1/3, resulting in the minimal plasma concentration dropping to 4&#x2013;6&#xa0;ng/mL; the CsA dose was reduced by 1/2, leading to the minimal plasma concentration falling to 75&#x2013;125&#xa0;ng/mL. The dose of SRL was 1&#x2013;2&#xa0;mg/Qd, and the minimal plasma concentration was 5&#x2013;8&#xa0;ng/mL (<xref ref-type="bibr" rid="B19">Association, 2018</xref>). The dose of MMF was 0.5&#x2013;1&#xa0;g/d, EC-MPS of 1,080&#x2013;1,440&#xa0;mg daily, and prednisone of 5&#x2013;10&#xa0;mg daily. Subsequently, patients received low-dose CNI, SRL, MPA, and glucocorticoid until 2&#xa0;years after kidney transplants. The minimal plasma concentration of TAC was reduced to 3&#x2013;5&#xa0;ng/mL; the CsA was reduced to 50&#x2013;100&#xa0;ng/mL. The doses of SRL, MMF, EC-MPS, and prednisone were maintained.</p>
</sec>
<sec id="s2-3">
<title>2.3 Assessments</title>
<p>To closely monitor the therapeutic effect and adverse events, the biochemical markers were assessed. The creatinine (Cr), eGFR, uric acid, urine erythrocyte, urine leukocytes, urine BK virus, blood BK virus, alanine aminotransferase (ALT), aspartate aminotransferase (AST), cholesterol, triglyceride, white blood cell count (WBC), hemoglobin (HGB), and platelet (PLT) were collected at W2, 3&#xa0;months (M3), 6&#xa0;months (M6), 9&#xa0;months (M9), and 12&#xa0;months (M12) after kidney transplants. Besides, the incidence of acute rejection and adverse events within 2&#xa0;years after kidney transplants were also collected.</p>
</sec>
<sec id="s2-4">
<title>2.4 Statistics</title>
<p>SPSS version 26.0 was utilized for data analyses. The comparisons between groups were completed using Student&#x2019;s t-test, Wilcoxon rank sum test, Chi-square test, or Fisher&#x2019;s exact test. <italic>P</italic> &#x3c; 0.05 was considered significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Patients characteristics</title>
<p>The age was 41.2 &#xb1; 13.1&#xa0;years in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group, consisting of 18 (64.3%) males and 10 (35.7%) females. In the CNI &#x2b; MPA &#x2b; glucocorticoid group, the age was 39.3 &#xb1; 9.1&#xa0;years, with 14 (63.6%) males and 8 (36.4%) females. In terms of the type of end-stage renal disease, 11 (64.7%) patients were diagnosed with chronic glomerulonephritis, 1 (5.9%) patient diagnosed as IgA nephropathy, 2 (11.8%) patients diagnosed as obstructive nephropathy, 2 (11.8%) patients diagnosed as hypertensive nephropathy, and one patient diagnosed as other renal disease in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group. However, in the CNI &#x2b; MPA &#x2b; glucocorticoid group, there were respectively 13 (61.9%), 4 (19.0%), 1 (4.8%), 2 (9.5%), and 1 (4.8%) patients who were diagnosed as chronic glomerulonephritis, IgA nephropathy, obstructive nephropathy, polycystic kidney, and other renal disease (<italic>P</italic> &#x3d; 0.028). Regarding the type of dialysis, there were 8 (47.1%), 6 (35.3%), and 3 (17.6%) patients receiving the hemodialysis, peritoneal dialysis, and hemodialysis and peritoneal dialysis, respectively in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group; these proporations were 16 (76.2%), 3 (14.3%), and 2 (9.5%) in the CNI &#x2b; MPA &#x2b; glucocorticoid group (<italic>P</italic> &#x3d; 0.009). By comparison, other characteristics, including the age, sex, body mass index, smoke history, drink history, concomitant diseases, and duration of dialysis were not different between these two groups (All <italic>P</italic> &#x3e; 0.05, <xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Clinical characteristics of patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Items</th>
<th align="center">CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid</th>
<th align="center">CNI &#x2b; MPA &#x2b; glucocorticoid</th>
<th align="center">P-value</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">Age (years)</td>
</tr>
<tr>
<td align="left">&#x2003;Patients (Missing)</td>
<td align="center">28 (0)</td>
<td align="center">22 (0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Mean (SD)</td>
<td align="center">41.2 (13.1)</td>
<td align="center">39.3 (9.1)</td>
<td align="center">0.243</td>
</tr>
<tr>
<td align="left">&#x2003;Median</td>
<td align="center">39.0</td>
<td align="center">35.0</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Min, max</td>
<td align="center">22.0, 73.0</td>
<td align="center">28.0, 55.0</td>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">Sex</td>
</tr>
<tr>
<td align="left">&#x2003;Patients (Missing)</td>
<td align="center">28 (0)</td>
<td align="center">22 (0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Male, n (%)</td>
<td align="center">18 (64.3)</td>
<td align="center">14 (63.6)</td>
<td align="center">0.962</td>
</tr>
<tr>
<td align="left">&#x2003;Female, n (%)</td>
<td align="center">10 (35.7)</td>
<td align="center">8 (36.4)</td>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">Body mass index (kg/m<sup>2</sup>)</td>
</tr>
<tr>
<td align="left">&#x2003;Patients (Missing)</td>
<td align="center">17 (11)</td>
<td align="center">21 (1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Mean (SD)</td>
<td align="center">22.3 (3.7)</td>
<td align="center">21.5 (4.1)</td>
<td align="center">0.517</td>
</tr>
<tr>
<td align="left">&#x2003;Median</td>
<td align="center">22.3</td>
<td align="center">20.7</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Min, max</td>
<td align="center">17.3, 31.9</td>
<td align="center">14.6, 32.8</td>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">Smoke history</td>
</tr>
<tr>
<td align="left">&#x2003;Patients (Missing)</td>
<td align="center">17 (11)</td>
<td align="center">21 (1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;No, n (%)</td>
<td align="center">16 (94.1)</td>
<td align="center">16 (76.2)</td>
<td align="center">0.132</td>
</tr>
<tr>
<td align="left">&#x2003;Yes, n (%)</td>
<td align="center">1 (5.9)</td>
<td align="center">5 (23.8)</td>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">Drink history</td>
</tr>
<tr>
<td align="left">&#x2003;Patients (Missing)</td>
<td align="center">17 (11)</td>
<td align="center">21 (1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;No, n (%)</td>
<td align="center">15 (88.2)</td>
<td align="center">19 (90.5)</td>
<td align="center">0.823</td>
</tr>
<tr>
<td align="left">&#x2003;Yes, n (%)</td>
<td align="center">2 (11.8)</td>
<td align="center">2 (9.5)</td>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">Concomitant diseases</td>
</tr>
<tr>
<td align="left">&#x2003;Patients (Missing)</td>
<td align="center">17 (11)</td>
<td align="center">21 (1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Anemia, n (%)</td>
<td align="center">16 (94.1)</td>
<td align="center">21 (100.0)</td>
<td align="center">0.447</td>
</tr>
<tr>
<td align="left">&#x2003;Hypertension, n (%)</td>
<td align="center">17 (100.0)</td>
<td align="center">21 (100.0)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Diabetes, n (%)</td>
<td align="center">1 (5.9)</td>
<td align="center">0 (0.0)</td>
<td align="center">0.447</td>
</tr>
<tr>
<td align="left">&#x2003;Coronary heart diseases, n (%)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Hyperlipidemia, n (%)</td>
<td align="center">0 (0.0)</td>
<td align="center">2 (9.5)</td>
<td align="center">0.492</td>
</tr>
<tr>
<td align="left">&#x2003;Hyperuricemia, n (%)</td>
<td align="center">1 (5.9)</td>
<td align="center">7 (33.3)</td>
<td align="center">0.053</td>
</tr>
<tr>
<td align="left">&#x2003;Hepatitis B, n (%)</td>
<td align="center">2 (11.8)</td>
<td align="center">0 (0.0)</td>
<td align="center">0.193</td>
</tr>
<tr>
<td align="left">&#x2003;Others, n (%)</td>
<td align="center">10 (58.8)</td>
<td align="center">13 (61.9)</td>
<td align="center">0.847</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">Type of end-stage renal disease</td>
</tr>
<tr>
<td align="left">&#x2003;Patients (Missing)</td>
<td align="center">17 (11)</td>
<td align="center">21 (1)</td>
<td align="center">0.028</td>
</tr>
<tr>
<td align="left">&#x2003;Chronic glomerulonephritis, n (%)</td>
<td align="center">11 (64.7)</td>
<td align="center">13 (61.9)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;IgA nephropathy, n (%)</td>
<td align="center">1 (5.9)</td>
<td align="center">4 (19.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Obstructive nephropathy, n (%)</td>
<td align="center">2 (11.8)</td>
<td align="center">1 (4.8)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Polycystic kidney, n (%)</td>
<td align="center">0 (0.0)</td>
<td align="center">2 (9.5)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Hypertensive nephropathy, n (%)</td>
<td align="center">2 (11.8)</td>
<td align="center">0 (0.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Others, n (%)</td>
<td align="center">1 (5.9)</td>
<td align="center">1 (4.8)</td>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">Type of dialysis</td>
</tr>
<tr>
<td align="left">&#x2003;Patients (Missing)</td>
<td align="center">17 (11)</td>
<td align="center">21 (1)</td>
<td align="center">0.009</td>
</tr>
<tr>
<td align="left">&#x2003;Hemodialysis, n (%)</td>
<td align="center">8 (47.1)</td>
<td align="center">16 (76.2)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Peritoneal dialysis, n (%)</td>
<td align="center">6 (35.3)</td>
<td align="center">3 (14.3)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Hemodialysis and peritoneal dialysis, n (%)</td>
<td align="center">3 (17.6)</td>
<td align="center">2 (9.5)</td>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">Duration of dialysis (months)</td>
</tr>
<tr>
<td align="left">&#x2003;Patients (Missing)</td>
<td align="center">17 (11)</td>
<td align="center">21 (1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Mean (SD)</td>
<td align="center">20.0 (16.0)</td>
<td align="center">23.8 (24.4)</td>
<td align="center">0.589</td>
</tr>
<tr>
<td align="left">&#x2003;Median</td>
<td align="center">12.0</td>
<td align="center">12.0</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Min, max</td>
<td align="center">6.0, 60.0</td>
<td align="center">0.8, 84.0</td>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">Regimen of glucocorticoids</td>
</tr>
<tr>
<td align="left">&#x2003;Methylprednisolone tablet, n (%)</td>
<td align="center">7 (25.0)</td>
<td align="center">2 (9.1)</td>
<td align="center">0.266</td>
</tr>
<tr>
<td align="left">&#x2003;Prednisone, n (%)</td>
<td align="center">21 (75.0)</td>
<td align="center">20 (90.9)</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>There was no statistical significance between two groups.</p>
</fn>
<fn>
<p>CNI, calcineurin Inhibitor; MPA, mycophenolic acid; SRL, sirolimus; SD, standard deviation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Comparison of the renal function and uric acid between groups</title>
<p>The Cr was lower in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group at M6 and M12 (both <italic>P</italic> &#x3c; 0.05), while it remained unchanged at W2, M3, and M9 between groups (all <italic>P</italic> &#x3e; 0.05) (<xref ref-type="fig" rid="F1">Figure 1A</xref>). Chronologically, the Cr was gradually increased in the CNI &#x2b; MPA &#x2b; glucocorticoid group during the 12&#xa0;months follow-up, while in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group, the Cr decreased from W2 to M3, and it remained the steady state from M3 to M12. The eGFR was higher in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group at M12 (<italic>P</italic> &#x3c; 0.05), while it was similar between groups at W2, M3, M6, and M9 (all <italic>P</italic> &#x3e; 0.05) (<xref ref-type="fig" rid="F1">Figure 1B</xref>). Chronologically, the eGFR was continuously decreased in the CNI &#x2b; MPA &#x2b; glucocorticoid group during the 12&#xa0;months follow-up, while in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group, the eGFR increased from W2 to M3, and it remained the steady state from M3 to M12. In terms of the uric acid, it was lower in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group at M3 (<italic>P</italic> &#x3c; 0.05), while it was not different at other follow-up timepoints (all <italic>P</italic> &#x3e; 0.05) (<xref ref-type="fig" rid="F1">Figure 1C</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The renal function and uric acid level between groups. Comparison of the Cr <bold>(A)</bold>, eGFR <bold>(B)</bold>, and uric acid <bold>(C)</bold> between the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid and the CNI &#x2b; MPA &#x2b; glucocorticoid groups.</p>
</caption>
<graphic xlink:href="fphar-16-1631055-g001.tif">
<alt-text content-type="machine-generated">Graphs labeled A, B, and C compare two treatment groups, &#x22;CNI + SRL + MPA + glucocorticoid&#x22; and &#x22;CNI + MPA + glucocorticoid.&#x22; Graph A shows creatinine levels; higher in the blue group at M6 and M12. Graph B illustrates eGFR, with the red group higher at M3 and M12. Graph C displays uric acid, with no significant difference between groups over time. Time points are W2, M3, M6, M9, and M12.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 Comparison of the acute rejection rate between groups</title>
<p>The acute rejection rate showed a lower trend in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group (3.6% vs. 9.1%, <xref ref-type="fig" rid="F2">Figure 2</xref>). However, the difference between groups did not reach statistical significance.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>The acute rejection rate between groups. Comparison of acute rejection rate between the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid and the CNI &#x2b; MPA &#x2b; glucocorticoid groups.</p>
</caption>
<graphic xlink:href="fphar-16-1631055-g002.tif">
<alt-text content-type="machine-generated">Bar chart showing acute rejection percentages for two treatment groups. The red bar represents &#x22;CNI + SRL + MPA + glucocorticoid&#x22; with about 4% rejection. The blue bar represents &#x22;CNI + MPA + glucocorticoid&#x22; with about 8% rejection.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4">
<title>3.4 Comparison of the blood/urine routine and biochemical indexes between groups</title>
<p>The urine erythrocytes and leukocytes were similar between groups at W2, M3, M6, M9, and M12 (all <italic>P</italic> &#x3e; 0.05, <xref ref-type="fig" rid="F3">Figures 3A,B</xref>). The urine BK virus was lower in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group at M3, M6, M9, and M12 (all <italic>P</italic> &#x3c; 0.01, <xref ref-type="fig" rid="F3">Figure 3C</xref>). The blood BK virus was similar between groups at W2, M3, M6, M9, and M12 (all <italic>P</italic> &#x3e; 0.05, <xref ref-type="fig" rid="F3">Figure 3D</xref>). Furthermore, the ALT, AST, cholesterol, and triglyceride were not different between groups at W2, M3, M6, M9, and M12 (all <italic>P</italic> &#x3e; 0.05, <xref ref-type="fig" rid="F4">Figures 4A&#x2013;D</xref>). The WBC was higher in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group at M3 (<italic>P</italic> &#x3c; 0.05, <xref ref-type="fig" rid="F5">Figure 5A</xref>), while the WBC at other timepoints, HGB at all follow-up timepoints, and PLT at all follow-up timepoints were similar between groups (all <italic>P</italic> &#x3e; 0.05, <xref ref-type="fig" rid="F5">Figures 5A&#x2013;C</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>The urine indexes and BK virus rate between groups. Comparison of the urine erythrocyte <bold>(A)</bold>, urine leukocytes <bold>(B)</bold>, urine BK virus <bold>(C)</bold>, and blood BK virus <bold>(D)</bold> between the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid and the CNI &#x2b; MPA &#x2b; glucocorticoid groups.</p>
</caption>
<graphic xlink:href="fphar-16-1631055-g003.tif">
<alt-text content-type="machine-generated">Four line graphs labeled A, B, C, and D illustrate comparisons between two treatment groups: &#x22;CNI + SRL + MPA + glucocorticoid&#x22; and &#x22;CNI + MPA + glucocorticoid.&#x22; Graph A shows urine erythrocyte counts peaking at M3 for both groups, with the latter having higher counts. Graph B presents urine leukocytes, decreasing over time. Graph C displays urine BK virus percentages, significantly higher in the CNI + MPA group from M3 to M12. Graph D shows blood BK virus percentages, with peaks for the CNI + MPA group around M3 and M9, while the other group maintains low levels.</alt-text>
</graphic>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>The biochemical indexes between groups. Comparison of the ALT <bold>(A)</bold>, AST <bold>(B)</bold>, cholesterol <bold>(C)</bold>, and triglyceride <bold>(D)</bold> between the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid and the CNI &#x2b; MPA &#x2b; glucocorticoid groups.</p>
</caption>
<graphic xlink:href="fphar-16-1631055-g004.tif">
<alt-text content-type="machine-generated">Four line graphs titled A to D compare two treatments: &#x22;CNI + SRL + MPA + glucocorticoid&#x22; (in red) and &#x22;CNI + MPA + glucocorticoid&#x22; (in blue). Graph A shows ALT levels peaking at week two then stabilizing. Graph B shows AST levels fluctuating slightly. Graph C shows cholesterol levels rising gradually. Graph D shows triglyceride levels stable with a slight increase at month twelve. Error bars represent variability at each time point across weeks two, months three, six, nine, and twelve.</alt-text>
</graphic>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>The blood routine indexes between groups. Comparison of the WBC <bold>(A)</bold>, HGB <bold>(B)</bold>, and PLT <bold>(C)</bold> between the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid and the CNI &#x2b; MPA &#x2b; glucocorticoid groups.</p>
</caption>
<graphic xlink:href="fphar-16-1631055-g005.tif">
<alt-text content-type="machine-generated">Line graphs labeled A, B, and C compare blood cell counts over time with two treatments: &#x22;CNI + SRL + MPA + glucocorticoid&#x22; and &#x22;CNI + MPA + glucocorticoid.&#x22; Graph A shows WBC levels, peaking at week two, dropping at month three, then stabilizing. Graph B shows HGB levels, steadily increasing. Graph C shows PLT levels, remaining stable with slight fluctuations.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-5">
<title>3.5 Safety profile</title>
<p>During the perioperative period, the delayed graft function occurred in 2 (7.1%) patients in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group and in 1 (4.5%) patient in the CNI &#x2b; MPA &#x2b; glucocorticoid group. Other adverse events included liver damage, infection, and poor wound healing. However, there was no difference between groups (<italic>P</italic> &#x3e; 0.05, <xref ref-type="table" rid="T2">Table 2</xref>). During the 2&#xa0;years after the operation, the most common adverse event was infection, and there was no difference between groups (35.7% vs. 22.7%). It should be noticed that the BK virus was lower in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group (0.0% vs. 36.4%, <italic>P</italic> &#x3c; 0.01, <xref ref-type="table" rid="T2">Table 2</xref>). Other adverse events, including proteinuria and diarrhea, were similar between groups (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Adverse events.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Items</th>
<th align="center">CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid (<italic>N &#x3d;</italic> 28)</th>
<th align="center">CNI &#x2b; MPA &#x2b; glucocorticoid (<italic>N &#x3d;</italic> 22)</th>
<th align="center">P-value</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">Perioperative period</td>
</tr>
<tr>
<td align="left">DGF, n (%)</td>
<td align="center">2 (7.1)</td>
<td align="center">1 (4.5)</td>
<td align="center">0.701</td>
</tr>
<tr>
<td align="left">Liver damage, n (%)</td>
<td align="center">2 (7.1)</td>
<td align="center">1 (4.5)</td>
<td align="center">0.701</td>
</tr>
<tr>
<td align="left">Infection, n (%)</td>
<td align="center">1 (3.6)</td>
<td align="center">2 (9.1)</td>
<td align="center">0.415</td>
</tr>
<tr>
<td align="left">Poor wound healing, n (%)</td>
<td align="center">0 (0.0)</td>
<td align="center">3 (13.6)</td>
<td align="center">0.079</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="4" align="left">2-year after operation</td>
</tr>
<tr>
<td align="left">Infection, n (%)</td>
<td align="center">10 (35.7)</td>
<td align="center">5 (22.7)</td>
<td align="center">0.320</td>
</tr>
<tr>
<td align="left">Proteinuria, n (%)</td>
<td align="center">4 (14.3)</td>
<td align="center">0 (0.0)</td>
<td align="center">0.121</td>
</tr>
<tr>
<td align="left">Diarrhea, n (%)</td>
<td align="center">3 (10.7)</td>
<td align="center">1 (4.5)</td>
<td align="center">0.621</td>
</tr>
<tr>
<td align="left">BK virus, n (%)</td>
<td align="center">0 (0.0)</td>
<td align="center">8 (36.4)</td>
<td align="center">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2a;&#x2a;Indicated <italic>P</italic> &#x3c; 0.01 between two groups.</p>
</fn>
<fn>
<p>CNI, calcineurin Inhibitor; MPA, mycophenolic acid; SRL, sirolimus; DGF, delayed renal graft function.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>In this study, we compared two immunosuppressive regimens, CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid and CNI &#x2b; MPA &#x2b; glucocorticoid, to evaluate their effects on renal function, acute rejection, BK virus infection rates, and overall safety in kidney transplant recipients. Our results demonstrated that the addition of SRL to the immunosuppressive regimen offered several advantages, particularly in terms of renal function and BK virus infection rates.</p>
<p>In this study, the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group achieved higher eGFR and lower serum creatinine levels compared to the CNI &#x2b; MPA &#x2b; glucocorticoid group, which was consistent with previous studies (<xref ref-type="bibr" rid="B3">Cucchiari et al., 2020</xref>; <xref ref-type="bibr" rid="B22">Rodrigues et al., 2023</xref>; <xref ref-type="bibr" rid="B27">Tomita et al., 2023</xref>). This finding might be explained as follows: (1) As an mTOR inhibitor, the SRL would modulate immune responses and reducing the production of pro-fibrotic cytokines, therefore act as an nephroprotector (<xref ref-type="bibr" rid="B24">Song et al., 2021</xref>; <xref ref-type="bibr" rid="B29">White et al., 2025</xref>). (2) SRL could inactivate T-cells and the subsequent inflammatory response, thereby preventing tissue injury and fibrosis in the renal graft via inhibiting the mTOR pathway. Hence, the involvement of SRL to CNI contained regimen might be an optimal method to improve the kidney function in renal transplantation patients. It should be noticed that the creatinine significantly decreases on M6 and M12 in CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid groups, while eGFR significantly increases only on M12 but not on M6. The potential reason might be that: eGFR was an estimated parameter derived from serum creatinine, age, sex, etc. and minor or short-term decreased in creatinine may not immediately result in detectable changes in eGFR. Therefore, there was no difference in eGFR between groups at M6.</p>
<p>Besides, we also found that the incidence of acute rejection was numerically lower in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared with the CNI &#x2b; MPA &#x2b; glucocorticoid group (3.6% vs. 9.1%), although there is no statistical significance. This finding could be explained as follows: (1) The small sample size limited the statistical significance leading to the statistical insignificance. (2) The duration of follow-up was too short to explicate the impact of SRL on long-term rejection outcomes. (3) Hypothesized from the previous study that SRL can reduce acute rejection by enhancing graft function and modulating immune responses (<xref ref-type="bibr" rid="B5">Ehx et al., 2021</xref>; <xref ref-type="bibr" rid="B25">Tanr&#x131;sev et al., 2021</xref>; <xref ref-type="bibr" rid="B10">Kishimoto et al., 2023</xref>; <xref ref-type="bibr" rid="B13">Li et al., 2025</xref>); therefore the reduction in T-cell activation may contribute to decreased rejection episodes; however, this hypothesis needed larger studies to validate.</p>
<p>BK virus reactivation would vastly impact on the graft function in kidney transplant patients, which also concerns the nephrologist (<xref ref-type="bibr" rid="B8">Kant et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Nakamura et al., 2024</xref>). Another finding should not be neglected that BK virus infection was lower in the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid group compared to the CNI &#x2b; MPA &#x2b; glucocorticoid group. This finding would be explained as follows: SRL shows the immunosuppressive properties, and it could inhibited the viral replication by modulating T-cell responses (<xref ref-type="bibr" rid="B14">Liacini et al., 2010</xref>). The inclusion of SRL in the immunosuppressive regimen appeared to provide additional protection against BK virus, making it a valuable component in managing viral complications in transplant patients. This effect may be due to SRL&#x2019;s ability to suppress the immune response in a way that reduces viral replication while still preventing rejection (<xref ref-type="bibr" rid="B14">Liacini et al., 2010</xref>). However, while the data was promising, further investigation was needed to fully understand the mechanism by which SRL affects BK virus reactivation and to confirm its role in reducing viral infections in transplant recipients. Furthermore, recent study also mentions that the medicine and food homology, which propose the possibility of adding the traditional Chinese medicine to the treatment might further improve the efficacy of SRL based regimen for anti-rejection (<xref ref-type="bibr" rid="B12">Law and Au, 2025</xref>). However, there is still long way to go to achieve this goal.</p>
<p>Finally, in terms of overall safety, our study found no significant differences between the two regimens in terms of adverse events or complications, except the BK virus infection. This suggested that the addition of SRL to the immunosuppressive regimen did not increase the risk of adverse effects when compared to the CNI &#x2b; MPA &#x2b; glucocorticoid regimen. This finding was consistent with previous reports on the safety of SRL in kidney transplant recipients, which have demonstrated that SRL does not lead to significant increases in the incidence of adverse events (<xref ref-type="bibr" rid="B28">Toniato de Rezende Freschi et al., 2024</xref>). The favorable safety profile of SRL made it an attractive option for inclusion in kidney transplant immunosuppressive protocols.</p>
<p>The selection of follow-up time points in this study was based on both clinical practice the pharmacological features of the study durgs. (1) The chosen of W2 was because: during the early post-transplant phase, the risk of acute rejection is high and the blood concentration would achieve a steady state; therefore, the W2 was chosen. The chosen of subsequent M3, M6, M9, and M12 was because: the graft function would be relative stable, even though there is risk of acute rejection but low, and the safety concerns as well as the blood concentration of SRL and CNI also needed periodic monitoring; therefore, the M3, M6, M9, and M12 were chosen.</p>
<p>Despite these promising findings, several limitations of this study need to be acknowledged. First, the relatively small sample size limited the statistical power of some of our analyses, particularly in detecting significant differences in acute rejection rates. Future studies with larger sample sizes are needed to better assess the impact of SRL on rejection outcomes. Second, the follow-up period was relatively short, which may have limited our ability to detect long-term outcomes such as chronic graft dysfunction or late-onset BK virus reactivation. Longer follow-up studies are necessary to evaluate the sustained effects of SRL on renal function and transplant outcomes. Third, this study did not assess the long-term safety profile of SRL, which remained a critical consideration when incorporating new immunosuppressive agents into clinical practice. As such, future research should explore the long-term safety and efficacy of SRL in larger cohorts of kidney transplant patients. Forth, patients were grouped according to the actual protocol they received, rather than randomly assigned, which might leading to the selection bias.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>In conclusion, our study suggested that the CNI &#x2b; MPA &#x2b; SRL &#x2b; glucocorticoid regimen may offer superior renal function preservation and a reduction in BK virus infection rates compared to the CNI &#x2b; MPA &#x2b; glucocorticoid regimen. While the addition of SRL did not significantly reduce acute rejection rates in this study, the promising trends observed warranted further investigation. Additionally, the overall safety profile of SRL was favorable, supporting its potential use in kidney transplant immunosuppressive regimens. However, larger, longer-term studies are needed to confirm these findings and better understand the role of SRL in improving long-term transplant outcomes.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Second Affiliated Hospital of Guangzhou Medical University. 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 sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>LL: Writing &#x2013; original draft, Methodology, Formal Analysis, Supervision, Writing &#x2013; review and editing, Project administration, Conceptualization. JW: Resources, Writing &#x2013; original draft, Data curation, Investigation, Writing &#x2013; review and editing. YL: Writing &#x2013; original draft, Formal Analysis, Writing &#x2013; review and editing, Investigation, Resources. JF: Investigation, Resources, Data curation, Writing &#x2013; original draft, Writing &#x2013; review and editing. GL: Data curation, Resources, Writing &#x2013; review and editing, Writing &#x2013; original draft, Investigation. JM: Writing &#x2013; review and editing, Data curation, Writing &#x2013; original draft, Investigation, Resources. ZC: Conceptualization, Funding acquisition, Supervision, Writing &#x2013; review and editing, Methodology, Formal Analysis, Writing &#x2013; original draft.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by the Multi Center Clinical Research Project at the Second Affiliated Hospital of Guangzhou Medical University (No. 2021-LCYJ-DZX-D), Major Clinical Research Project of Guangzhou Medical University&#x2019;s Research Capability Enhancement Program (No. GMUCR202401001), and 2024 Guangdong Medical Research Fund Project (B2024107).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<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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