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<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>
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<article-meta>
<article-id pub-id-type="publisher-id">1613790</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1613790</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>Efficacy and safety of telitacicept in systemic lupus erythematosus with lupus nephritis and nephrotic syndrome: a 12-month retrospective cohort study</article-title>
<alt-title alt-title-type="left-running-head">Liu 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.2025.1613790">10.3389/fphar.2025.1613790</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Min-Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Li</surname>
<given-names>Liu-Jun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Ting</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Hao-Sen</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lin</surname>
<given-names>Chang-Song</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Qing-Ping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Rheumatology</institution>, <institution>The First Affiliated Hospital of Guangzhou University of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Guangdong Clinical Research Academy of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>The First Clinical Medical School of Guangzhou University of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<institution>
<sup>4</sup>
</institution>
<institution>Department of Rheumatology</institution>, <institution>Foshan Hospital of Traditional Chinese Medicine</institution>, <addr-line>Foshan</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Nephrology and Rheumatology</institution>, <institution>Wuyi Hospital of Traditional Chinese Medicine</institution>, <addr-line>Jiangmen</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Nephrology and Rheumatology</institution>, <institution>Traditional Chinese Medicine Hospital Affiliated to Jinan University</institution>, <addr-line>Jiangmen</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/1280961/overview">Mojtaba Vaismoradi</ext-link>, Nord University, Norway</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/2193304/overview">Syeda Alisha Zehra</ext-link>, Dow University of Health Sciences, Pakistan</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3057732/overview">Suppachai Lawanaskol</ext-link>, Chaiprakarn Hospital, Thailand</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Qing-Ping Liu, <email>frog424@163.com</email>; Qiang Xu, <email>fjksg@163.com</email>; Chang-Song Lin, <email>linchs999@163.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1613790</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Liu, Li, Li, Zhu, Lin, Xu and Liu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liu, Li, Li, Zhu, Lin, Xu 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>Background</title>
<p>This retrospective cohort study evaluated the therapeutic efficacy and safety profile of telitacicept, a novel dual B-cell-activating factor (BAFF)/a proliferation-inducing ligand (April) inhibitor, in managing systemic lupus erythematosus (SLE) patients with lupus nephritis (LN) and nephrotic syndrome (NS), with particular focus on renal and hematological parameters.</p>
</sec>
<sec>
<title>Methods</title>
<p>12 SLE patients with biopsy-confirmed LN and NS who received weekly subcutaneous telitacicept (80/160&#xa0;mg) combined with standard therapies for &#x2265;12&#xa0;months were analyzed. Primary endpoints include changes in Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) scores, 24-h urinary protein excretion (24hUpr), complement levels (Complement Component 3/Complement Component 4), anti-double-stranded DNA antibodies (anti-dsDNA) titers, immunoglobulin profiles, serum creatinine, and hemoglobin (HGB) at baseline, 3-month, and 12-month intervals. Statistical analysis was performed using SPSS 26.0 and R 4.1.2. The significance level was assessed using a one-sample t-test of the log ratios, with the null hypothesis assuming no effect.</p>
</sec>
<sec>
<title>Results</title>
<p>Significant improvements were observed in the cohort (91.7% female, median age 30): SLEDAI: Median reduction from 13 to 4 (p &#x3d; 0.0029), 24hUpr: 4.0&#xa0;g/24&#xa0;h &#x2192; 0.83&#xa0;g/24&#xa0;h (p &#x3c; 0.001), anti-dsDNA: 120&#xa0;IU/mL &#x2192; 13&#xa0;IU/mL (p &#x3d; 0.003), Complement restoration: C3 0.56&#x2192;0.84&#xa0;g/L; C4 0.1&#x2192;0.22&#xa0;g/L (both p &#x3c; 0.001), HGB improvement: 110&#x2192;120&#xa0;g/L (p &#x3d; 0.0144). Compared to 80&#xa0;mg dose subgroup, the 160&#xa0;mg dose subgroup (83.3%) showed superior outcomes with no severe adverse events.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Telitacicept demonstrates robust clinical efficacy in LN-NS management through dual B-cell regulation and complement restoration mechanisms. These practical findings support its potential as a targeted therapy for renal and hematological manifestations of SLE, requiring further validation through randomized controlled trials.</p>
</sec>
</abstract>
<kwd-group>
<kwd>telitacicept</kwd>
<kwd>lupus nephritis</kwd>
<kwd>nephrotic syndrome</kwd>
<kwd>efficacy</kwd>
<kwd>safety</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Drugs Outcomes Research and Policies</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Key points</title>
<p>
<list list-type="simple">
<list-item>
<p>&#x2022; First practical evidence of telitacicept&#x2019;s renal protective effects in LN-NS comorbidity with higher levels of proteinuria.</p>
</list-item>
<list-item>
<p>&#x2022; Significant proteinuria reduction (67.5% median decrease at 12&#xa0;months).</p>
</list-item>
<list-item>
<p>&#x2022; Dual mechanism of action: B-cell suppression (CD19<sup>&#x2b;</sup> reduction 42%) and complement restoration.</p>
</list-item>
<list-item>
<p>&#x2022; Favorable hematological improvement independent of erythropoietin use.</p>
</list-item>
<list-item>
<p>&#x2022; Comparable safety profile to belimumab in SLE treatment.</p>
</list-item>
</list>
</p>
</sec>
<sec sec-type="intro" id="s2">
<title>Introduction</title>
<p>SLE, a multisystem autoimmune disease with complex genetic-environmental interactions (<xref ref-type="bibr" rid="B3">Basta et al., 2020</xref>), presents heterogeneous clinical manifestations ranging from cutaneous involvement to life-threatening organ damage. <xref ref-type="bibr" rid="B24">Tian et al. (2023)</xref> reported global SLE incidence at 5.14/100,000 person-years (0.4M new cases/year) and prevalence at 43.7/100,000 persons (3.41M affected) (<xref ref-type="bibr" rid="B24">Tian et al., 2023</xref>). Among these, LN develops in 40%&#x2013;60% of SLE patients and represents the strongest predictor of poor long-term outcomes, accounting for 17%&#x2013;25% of end-stage renal disease (ESRD) cases in young adults (<xref ref-type="bibr" rid="B13">Gasparotto et al., 2020</xref>). The co-occurrence of NS in LN patients portends particular clinical challenges, characterized by nephrotic-range proteinuria (&#x3e;3.5&#xa0;g/24&#xa0;h), hypoalbuminemia (&#x3c;30&#xa0;g/L), and compensatory hyperlipidemia (<xref ref-type="bibr" rid="B11">Fr&#x103;&#x21b;il&#x103; et al., 2024</xref>).</p>
<p>Current therapeutic regimens combining glucocorticoids with immunosuppressants (mycophenolate mofetil, calcineurin inhibitors, cyclophosphamide) achieve complete renal response in only 30%&#x2013;40% of LN patients within 12&#xa0;months (<xref ref-type="bibr" rid="B10">Fava and Petri, 2019</xref>). Persistent disease activity and treatment-related complications, including opportunistic infections (HR 3.2, 95%CI 1.8&#x2013;5.7) and cumulative glucocorticoid toxicity, contribute to substantial morbidity (<xref ref-type="bibr" rid="B7">Chen et al., 2023</xref>; <xref ref-type="bibr" rid="B17">Parra S&#xe1;nchez et al., 2022</xref>). Although B-cell depletion therapies such as rituximab have shown efficacy in refractory cases (<xref ref-type="bibr" rid="B35">Zucchi et al., 2023</xref>), there remains a pressing need for targeted agents with better safety profiles.</p>
<p>The BAFF/April axis has emerged as a linchpin in SLE pathogenesis, with elevated serum BAFF levels correlating with disease activity (r &#x3d; 0.42, p &#x3c; 0.001) and renal flares (<xref ref-type="bibr" rid="B1">Arbitman et al., 2022</xref>). Telitacicept, a novel recombinant fusion protein combining transmembrane activator and calcium-modulating cyclophilin ligand interactor (TACI) with human IgG-Fc, uniquely acts as a dual inhibitor of BAFF and April (<xref ref-type="bibr" rid="B22">Shi et al., 2021</xref>). Following its 2021 approval by China&#x2019;s National Medical Products Administration (NMPA) for SLE (<xref ref-type="bibr" rid="B9">Dhillon, 2021</xref>), more and more evidence suggests therapeutic potential across autoimmune disorders&#x2014;from IgA nephropathy (24&#xa0;h proteinuria reduction 48.6% vs. placebo 16.2%, p &#x3d; 0.003) (<xref ref-type="bibr" rid="B31">Yang et al., 2022</xref>), to primary Sj&#xf6;gren&#x2019;s syndrome (ESSDAI score &#x394; &#x3d; &#x2212;4.3, p &#x3d; 0.002) (<xref ref-type="bibr" rid="B30">Xu et al., 2023</xref>), and myasthenia gravis (MG) (<xref ref-type="bibr" rid="B14">Guo et al., 2023</xref>). Notably, a clinical Phase 2b study published in Journal Name reported that, in patients with SLE, telitacicept demonstrated significant better efficacy than placebo in achieving SRI-4 response at week 48 (71.0%&#x2013;75.8% vs. 33.9%; all p &#x3c; 0.001), with comparable safety performance (<xref ref-type="bibr" rid="B27">Wu D. et al., 2024</xref>). Furthermore, the Phase III trial in SLE showed 52-week renal response rates of 68.3% while 48.1% with standard therapy (OR 2.32, 95%CI 1.41&#x2013;3.82) (<xref ref-type="bibr" rid="B4">Cai et al., 2023</xref>).</p>
<p>Therefore, we conducted a single-arm retrospective cohort study to extend prior research by evaluating the renoprotective effects of telitacicept in the high-risk lupus nephritis with LN-NS subpopulation, a group underrepresented in pivotal trials.</p>
</sec>
<sec sec-type="methods" id="s3">
<title>Methods</title>
<p>This study recruited patients diagnosed with SLE complicated by LN and NS from 1 January 2020, to 1 November 2023. The patients were sourced from the Departments of Rheumatology and Immunology of the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, and Wuyi Hospital of Traditional Chinese Medicine.</p>
<p>All enrolled patients received weekly subcutaneous injections of telitacicept at a dosage of either 80&#xa0;mg or 160&#xa0;mg, with a continuous treatment duration of at least 12&#xa0;months. Meanwhile, other routine treatments administered, including glucocorticoids, traditional antirheumatic drugs, and non-steroidal anti-inflammatory drugs.</p>
<p>In this retrospective analysis, clinical data was systematically collected at standardized intervals of 3&#xa0;months and 12&#xa0;months after the initiation of telitacicept treatment. A total of 27 SLE patients treated with telitacicept were initially considered. Patients without LN and NS (n &#x3d; 6) were excluded, leaving 21 patients with LN and NS. Of these, patients receiving telitacicept for &#x3c;12&#xa0;months (n &#x3d; 2) were excluded, resulting in 19 patients treated for &#x3e;12&#xa0;months. Subsequently, patients lacking crucial data (n &#x3d; 7) were excluded, yielding 12 patients included in the primary analysis. Finally, one additional patient was excluded due to lack of crucial data, resulting in 11 patients treated with telitacicept for &#x3e;3&#xa0;months available for further analysis. The study flowchart is presented in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flowchart of the study design.</p>
</caption>
<graphic xlink:href="fphar-16-1613790-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating the selection process for SLE patients treated with Telitacicept. Starting with 27 patients, 6 were excluded for not having LN and NS. Of the remaining 21 patients, 2 were excluded for less than 12 months of treatment, leaving 19. An additional 7 were excluded due to lack of crucial data, resulting in 12 patients included in the analysis. Further refinement showed 11 patients treated for more than 3 months, with 1 excluded for lacking crucial data, and 12 patients treated for more than 12 months.</alt-text>
</graphic>
</fig>
<sec id="s3-1">
<title>Study population</title>
<p>We performed a multicenter retrospective cohort study involving patients who met the 2019 American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) classification criteria for SLE. All patients had biopsy-confirmed LN and NS and were treated at three tertiary-care centers, namely, the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, and Jiangmen Traditional Chinese Medicine Hospital, between January 2020 and November 2023.</p>
</sec>
<sec id="s3-2">
<title>Inclusion criteria</title>
<p>
<list list-type="simple">
<list-item>
<p>1. Patients were required to receive weekly subcutaneous telitacicept administration (either 80&#xa0;mg or 160&#xa0;mg) for at least 12&#xa0;months.</p>
</list-item>
<list-item>
<p>2. Patients had prior renal biopsies with findings consistent with LN.</p>
</list-item>
<list-item>
<p>3. Patients met the diagnostic criteria for NS: 24-h urinary protein &#x3e;3.5&#xa0;g/24&#xa0;h; serum albumin &#x3c;30&#xa0;g/L; and edema or hyperlipidemia.</p>
</list-item>
<list-item>
<p>4. Concurrent conventional therapy was required, which comprised immunosuppressants such cyclophosphamide (CsA) or mycophenolate mofetil (MMF), glucocorticoids (prednisone equivalent &#x2265;0.5&#xa0;mg/kg/day), and angiotensin-converting enzyme inhibitors (ACEi) or angiotensin II receptor blockers (ARBs).</p>
</list-item>
<list-item>
<p>5. Complete 12-month follow-up data were necessary for inclusion in the study.</p>
</list-item>
</list>
</p>
</sec>
<sec id="s3-3">
<title>Exclusion criteria</title>
<p>
<list list-type="simple">
<list-item>
<p>1. Patients who experienced adverse events of grade &#x2265;3 according to the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 were excluded.</p>
</list-item>
<list-item>
<p>2. Patients undergoing concurrent biologics or B-cell depletion therapy were excluded in this study.</p>
</list-item>
<list-item>
<p>3. Pregnant patients or those receiving renal replacement therapy were excluded from the analysis.</p>
</list-item>
</list>
</p>
</sec>
<sec id="s3-4">
<title>Observational endpoints</title>
<p>This retrospective cohort study evaluated therapeutic responses by analyzing longitudinal changes in key clinical parameters among 12 patients treated with telitacicept. Efficacy assessments were anchored to baseline values obtained &#x2264;72&#xa0;h prior to treatment initiation.</p>
</sec>
<sec id="s3-5">
<title>Primary endpoint</title>
<p>Composite outcome at 12&#xa0;months post-treatment including:<list list-type="simple">
<list-item>
<p>&#x2022; Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI)</p>
</list-item>
<list-item>
<p>&#x2022; 24-h urinary protein excretion (24hUpr)</p>
</list-item>
<list-item>
<p>&#x2022; Serum complement components (C3/C4)</p>
</list-item>
<list-item>
<p>&#x2022; Anti-double stranded DNA (anti-dsDNA) titers</p>
</list-item>
<list-item>
<p>&#x2022; Immunoglobulin profiles (immunoglobulin G/immunoglobulin M)</p>
</list-item>
<list-item>
<p>&#x2022; Serum creatinine (SCr)</p>
</list-item>
</list>
</p>
<p>Secondary Endpoint:</p>
<p>Identical parameters assessed at 3-month interim analysis.</p>
</sec>
<sec id="s3-6">
<title>Safety assessments</title>
<p>Safety assessments included adverse events (AEs), which were meticulously recorded and evaluated using the Common Terminology Criteria for Adverse Events (CTCAE) for grading severity.</p>
</sec>
<sec id="s3-7">
<title>Evaluation of efficacy</title>
<p>SPSS 26.0 software was used for baseline demographics and disease characteristics data analysis. For measurements that conform to a normal distribution, the mean is expressed as &#xb1; standard deviation. The non-normal distribution data was presented as the median (IQR). The significance level was p &#x3c; 0.05. Statistical charts were plotted using GraphPad Prism 8 software.</p>
<p>Effect sizes for each index variable were calculated as the natural logarithm (base e) of the ratio, i.e., <inline-formula id="inf1">
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</mml:mrow>
</mml:math>
</inline-formula>, where &#x2018;<italic>b&#x2019;</italic> and &#x2018;<italic>a&#x2019;</italic> refers to the value before and after the treatment. For SLEDAI index, effect sizes were calculated using the difference before to after the treatment, as this index is a scoring system that evaluates the degree of disease activity in SLE patients. For the C3, C4, and HGB indices, effects were calculated using the reversed log ratio, as these values are expected to increase post-treatment. The significance levels were assessed using a one-sample t-test of the log ratios, with the null hypothesis stating that there is no effect. Analyses were conducted using the R language (<xref ref-type="bibr" rid="B19">R Core Team, 2021</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s4">
<title>Results</title>
<p>In this study, a total of 12 patients were included for analysis. The median age of all participants was 30 (interquartile range [IQR] 24&#x2013;41), with a median SLE duration of 3&#xa0;years (IQR 1&#x2013;8). Body mass index (BMI) was 21.28 (standard deviation [SD] 4.03). Systolic blood pressure was 130.50&#xa0;mmHg (SD 11.71) and diastolic blood pressure was 77.17&#xa0;mmHg (SD 9.98). The cohort was predominantly female (91.7%, 11/12), and all participants were of East Asian ethnicity. The majority of patients (83.3%) received a telitacicept dosage of 160&#xa0;mg per week. Regarding concomitant medications, all patients received corticosteroid therapy. Other concomitant medications included mycophenolate mofetil (MMF) (33.3%), hydroxychloroquine (HCQ) (75.0%), ciclosporin (CYC) (33.3%), methotrexate (MTX) (16.7%), and tacrolimus (TAC) (25.0%) (<xref ref-type="table" rid="T1">Table 1</xref>) (<xref ref-type="sec" rid="s13">Supplementary Table S1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline demographics and disease characteristics of all patients (n &#x3d; 12).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Classification</th>
<th align="left">Parameters</th>
<th align="left">All (n &#x3d; 12)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="7" align="left">Basic information</td>
<td align="left">Sex, n (%, female)</td>
<td align="left">91.7</td>
</tr>
<tr>
<td align="left">Age (years)</td>
<td align="left">30 (24, 41)</td>
</tr>
<tr>
<td align="left">SLE Duration (years)</td>
<td align="left">3 (1, 8)</td>
</tr>
<tr>
<td align="left">Dosage, n (%, 160&#xa0;mg/qw)</td>
<td align="left">83.3</td>
</tr>
<tr>
<td align="left">BMI</td>
<td align="left">21.28 (4.03)</td>
</tr>
<tr>
<td align="left">Systolic blood pressure (mm/Hg)</td>
<td align="left">130.50 (11.71)</td>
</tr>
<tr>
<td align="left">Diastolic blood pressure (mm/Hg)</td>
<td align="left">77.17 (9.98)</td>
</tr>
<tr>
<td rowspan="11" align="left">Clinical indicators</td>
<td align="left">WBC (10<sup>9</sup>/L)</td>
<td align="left">7.32 (4.66, 8.43)</td>
</tr>
<tr>
<td align="left">NEU (10<sup>9</sup>/L)</td>
<td align="left">4.59 (2.82, 5.10)</td>
</tr>
<tr>
<td align="left">LYM (10<sup>9</sup>/L)</td>
<td align="left">1.73 (1.01, 2.80)</td>
</tr>
<tr>
<td align="left">RBC (10<sup>12</sup>/L)</td>
<td align="left">4.29 (1.08)</td>
</tr>
<tr>
<td align="left">HGB (g/L)</td>
<td align="left">107 (19.97)</td>
</tr>
<tr>
<td align="left">PLT (10<sup>9</sup>/L)</td>
<td align="left">250 (212, 371)</td>
</tr>
<tr>
<td align="left">AST (U/L)</td>
<td align="left">19 (13, 34)</td>
</tr>
<tr>
<td align="left">ALT (U/L)</td>
<td align="left">23 (7, 32)</td>
</tr>
<tr>
<td align="left">Urea (mmol/L)</td>
<td align="left">5.21 (3.64, 8.33)</td>
</tr>
<tr>
<td align="left">Glu (mmol/L)</td>
<td align="left">4.87 (0.90)</td>
</tr>
<tr>
<td align="left">UA (&#x3bc;mol/L)</td>
<td align="left">360 (79.39)</td>
</tr>
<tr>
<td rowspan="6" align="left">Concomitant medications</td>
<td align="left">Glucocorticoids (%)</td>
<td align="left">100</td>
</tr>
<tr>
<td align="left">MMF (%)</td>
<td align="left">33.3</td>
</tr>
<tr>
<td align="left">HCQ (%)</td>
<td align="left">75.0</td>
</tr>
<tr>
<td align="left">CYC (%)</td>
<td align="left">33.3</td>
</tr>
<tr>
<td align="left">MTX (%)</td>
<td align="left">16.7</td>
</tr>
<tr>
<td align="left">TAC (%)</td>
<td align="left">25.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NEU, neutrophilic granulocyte; LYM, lymphocyte; RBC, erythrocytes; HGB, hemoglobin; PLT, platelet; UA, uric acid; MMF, mycophenolate mofetil; HCQ, hydroxychloroquine; CYC, ciclosporin; MTX, methotrexate; TAC, tacrolimus. Continuous variables with normal distribution are expressed as mean &#xb1; SD, and non-normally distributed variables are summarized as median (IQR).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Prior to telitacicept initiation, the 12 patients&#x2019; baseline clinical indicators were as follows: white blood cell count (WBC) 7.32 (IQR 4.66&#x2013;8.43) &#xd7;10<sup>9</sup>/L, hemoglobin (HGB) 107&#xa0;g/L (SD 19.97), platelet count (PLT) 250 (IQR 212&#x2013;371) &#xd7;10<sup>9</sup>/L, aspartate aminotransferase (AST) 19&#xa0;U/L (IQR 13&#x2013;34), alanine aminotransferase (ALT) 23&#xa0;U/L (IQR 7&#x2013;32), serum urea 5.21&#xa0;mmol/L (IQR 3.64&#x2013;8.33), fasting blood glucose (Glu) 4.87&#xa0;mmol/L (SD 0.90), and serum uric acid (UA) 360&#xa0;&#x3bc;mol/L (SD 79.39). These baseline parameters indicated that WBC, PLT, liver function (AST, ALT), fasting blood glucose, serum uric acid, and serum urea levels were within normal ranges for all 12 patients, with the exception of hemoglobin, which was below the normal reference range. (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>After 3&#xa0;months of telitacicept therapy, changes in key disease activity and serological parameters, including the SLEDAI, 24hUpr, C3 and C4, anti-dsDNA, IgG, IgM, and SCr, were compared pre- and post-treatment (<xref ref-type="fig" rid="F2">Figure 2</xref>). Effect sizes were calculated to quantify treatment efficacy across these clinical variables. As demonstrated in <xref ref-type="fig" rid="F3">Figure 3</xref> and <xref ref-type="table" rid="T2">Table 2</xref>, telitacicept significantly reduced SLEDAI scores, 24hUP, anti-dsDNA levels, and IgG concentrations, while markedly increasing C3 and C4 levels. In contrast, IgM and SCr showed no big changes after treatment. Notably, important reductions from baseline were observed for anti-dsDNA, SLEDAI, C4 and IgG levels.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Comparison of SLEDAI, 24hUpr, C3, C4, IgG and anti-dsDNA before and after 3-month treatment with telitacicept.</p>
</caption>
<graphic xlink:href="fphar-16-1613790-g002.tif">
<alt-text content-type="machine-generated">Six line charts labeled a to f show various measurements before and after treatment. Chart a displays 24-hour urinary protein with values decreasing for most lines. Chart b shows anti-double-stranded DNA, with a notable decrease in values. Charts c and d display C3 and C4 levels, both increasing. Chart e shows IgG levels mostly stable or slightly decreasing, except for one large decrease. Chart f illustrates SLEDAI scores reducing for most lines. Each chart features colored lines representing different subjects.</alt-text>
</graphic>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Mean effect size observed for each variable index following 3-month telitacicept treatment. Error bars refer to mean and standard deviation.</p>
</caption>
<graphic xlink:href="fphar-16-1613790-g003.tif">
<alt-text content-type="machine-generated">Forest plot illustrating effect sizes and confidence intervals for various variables: dsDNA, 24hUpr, SLEDAI, C4, C3, IgM, IgG, and Crea. P-values range from less than 0.001 to 0.28, with a red dashed line indicating no effect at zero.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>The mathematical mean values and their range (minimum and maximum values) were analyzed across all patients for each index before and after the 3-month treatment. The effect size represents the mean and SD of the log ratio (i.e., equivalent to the geometric mean of the original values), calculated from before to after the treatment. For indices C3 and C4 (indicated by &#x2a;), effect sizes were calculated using the log ratio from after to before the treatment. P-values were derived from a t-test comparing the effect sizes to zero.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Index</th>
<th align="center">Before (mean and range)</th>
<th align="center">After (mean and range)</th>
<th align="center">Effect (mean and SD)</th>
<th align="center">p</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">dsDNA</td>
<td align="center">140 (11&#x2013;610)</td>
<td align="center">35 (1&#x2013;130)</td>
<td align="center">1.15 (0.6)</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="center">24hUpr</td>
<td align="center">5.1 (0.33&#x2013;13)</td>
<td align="center">2.4 (0.24&#x2013;8.8)</td>
<td align="center">1.14 (0.87)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="center">SLEDAI</td>
<td align="center">12 (8&#x2013;16)</td>
<td align="center">6.1 (2&#x2013;14)</td>
<td align="center">0.83 (0.57)</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="center">C4</td>
<td align="center">0.1 (0.046&#x2013;0.16)</td>
<td align="center">0.18 (0.068&#x2013;0.4)</td>
<td align="center">0.55 (0.34)&#x2a;</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="center">C3</td>
<td align="center">0.54 (0.38&#x2013;0.73)</td>
<td align="center">0.75 (0.53&#x2013;1.1)</td>
<td align="center">0.34 (0.25)&#x2a;</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="center">IgM</td>
<td align="center">2 (0.72&#x2013;6.2)</td>
<td align="center">1.8 (0.26&#x2013;5.6)</td>
<td align="center">0.26 (0.59)</td>
<td align="center">0.166</td>
</tr>
<tr>
<td align="center">IgG</td>
<td align="center">14 (4.4&#x2013;28)</td>
<td align="center">11 (3.3&#x2013;20)</td>
<td align="center">0.25 (0.14)</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="center">Crea</td>
<td align="center">68 (41&#x2013;170)</td>
<td align="center">73 (45&#x2013;150)</td>
<td align="center">&#x2212;0.1 (0.28)</td>
<td align="center">0.280</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>After 12&#xa0;months of telitacicept treatment, significant changes were observed not only in key markers (SLEDAI, 24hUpr, C3, C4, dsDNA, IgG, IgM, SCr) but also in HGB (<xref ref-type="fig" rid="F4">Figure 4</xref>). Effect sizes were calculated to quantify treatment efficacy across clinical variables. As shown in <xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="table" rid="T3">Table 3</xref>, telitacicept considerably reduced SLEDAI, 24hUpr, and dsDNA levels while increasing C3, C4, and HGB. In contrast, IgM, IgG, and SCr remained stable post-treatment. Notably, 24hUpr demonstrated a significant decrease from baseline, whereas C3 and C4 showed important increases (<xref ref-type="fig" rid="F5">Figure 5</xref>; <xref ref-type="table" rid="T3">Table 3</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Comparison of SLEDAI, 24&#xa0;hUpr, C3, C4, dsDNA, IgG, IgM, Crea and HGB before and after 12-month treatment with telitacicept.</p>
</caption>
<graphic xlink:href="fphar-16-1613790-g004.tif">
<alt-text content-type="machine-generated">Line graphs depict changes in various medical parameters before and after treatment. Parameters include 24-hour proteinuria (24hUpr), SLEDAI, complement proteins C3 and C4, dsDNA, hemoglobin (HGB), IgG, creatinine (Crea), and IgM. Each graph shows a trend with individual data points connected by lines, indicating variation among subjects. Some parameters show a decrease, such as 24hUpr and dsDNA, while others show varied trends.</alt-text>
</graphic>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Mean effect size observed for each variable index following 12-month telitacicept treatment. Error bars refer to mean and standard deviation.</p>
</caption>
<graphic xlink:href="fphar-16-1613790-g005.tif">
<alt-text content-type="machine-generated">Forest plot depicting effect sizes and confidence intervals for various biomarkers in a study. Variables include 24hUpr, dsDNA, C4, C3, IgG, HGB, IgM, and Crea, each associated with p-values. The plot highlights significant differences for most markers except IgM and Crea. Red dashed line indicates zero effect size.</alt-text>
</graphic>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>The mathematical mean values and their range (minimum and maximum values) across all patients for each index before and after the 12-month treatment. The effect size represents the mean and SD of the log ratio (i.e., equivalent to the geometric mean of the original values), calculated from before to after the treatment. For SLEDAI index, effect sizes were calculated using the difference before to after the treatment (indicated by the superscript letter &#x2018;a&#x2019;); for C3, C4 and HGB, effect sizes were calculated using the log ratio from after to before the treatment (indicated by the superscript letter &#x2018;b&#x2019;). P-values were derived from a t-test comparing the effect sizes to zero.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Index</th>
<th align="left">Before (mean and range)</th>
<th align="left">After (mean and range)</th>
<th align="left">Effect (mean and SD)</th>
<th align="left">p</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">SLEDAI</td>
<td align="left">13 (2&#x2013;28)</td>
<td align="left">3.8 (0&#x2013;8)</td>
<td align="left">8.83 (8.04)<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="left">0.003</td>
</tr>
<tr>
<td align="left">24hUpr</td>
<td align="left">4 (0.33&#x2013;13)</td>
<td align="left">0.83 (0.15&#x2013;3.4)</td>
<td align="left">1.58 (1.22)</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">dsDNA</td>
<td align="left">120 (1&#x2013;610)</td>
<td align="left">13 (1&#x2013;54)</td>
<td align="left">1.42 (1.3)</td>
<td align="left">0.003</td>
</tr>
<tr>
<td align="left">C4</td>
<td align="left">0.1 (0.065&#x2013;0.16)</td>
<td align="left">0.22 (0.086&#x2013;0.34)</td>
<td align="left">0.75 (0.42)<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">C3</td>
<td align="left">0.56 (0.38&#x2013;0.73)</td>
<td align="left">0.84 (0.62&#x2013;1.1)</td>
<td align="left">0.42 (0.27)<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">IgG</td>
<td align="left">13 (4.4&#x2013;28)</td>
<td align="left">10 (3.3&#x2013;15)</td>
<td align="left">0.22 (0.36)</td>
<td align="left">0.057</td>
</tr>
<tr>
<td align="left">IgM</td>
<td align="left">1.7 (0.39&#x2013;6.2)</td>
<td align="left">1.7 (0.33&#x2013;4.1)</td>
<td align="left">0.01 (0.62)</td>
<td align="left">0.100</td>
</tr>
<tr>
<td align="left">Crea</td>
<td align="left">80 (41&#x2013;220)</td>
<td align="left">81 (39&#x2013;200)</td>
<td align="left">&#x2212;0.05 (0.28)</td>
<td align="left">0.523</td>
</tr>
<tr>
<td align="left">HGB</td>
<td align="left">110 (68&#x2013;130)</td>
<td align="left">120 (100&#x2013;160)</td>
<td align="left">0.16 (0.19)<sup>b</sup>
</td>
<td align="left">0.014</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>effect sizes were calculated using the difference before to after the treatment.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>effect sizes were calculated using the log ratio from after to before the treatment.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>SLE is a prototypical autoimmune disorder. It is distinguished by the involvement of multiple systemic organs and the presence of various antibodies in the patient&#x2019;s bloodstream. Owing to the pronounced heterogeneity inherent of the disease and the substantial clinical disparities among SLE patients, achieving consistent therapeutic outcomes remains challenging. (<xref ref-type="bibr" rid="B1">Arbitman et al., 2022</xref>).</p>
<p>LN is a prevalent complication of SLE. It can manifest asymptomatically or present with proteinuria, hematuria, and impaired renal function. LN continues to be a significant risk factor for chronic kidney injury and end-stage renal disease in SLE patients, contributing to considerable morbidity and mortality (<xref ref-type="bibr" rid="B23">Steiger et al., 2022</xref>; <xref ref-type="bibr" rid="B6">Chang et al., 2021</xref>).</p>
<p>As a crucial component of the human immune system, B cells mainly generate immune responses through antibody secretion. They also interacts with T cells to secrete cytokines, which play an important role in the initiation and progression of autoimmunity. Throughout the pathogenesis of SLE, abnormal B-cell over-activation is a characteristic feature (<xref ref-type="bibr" rid="B16">Kang et al., 2022</xref>; <xref ref-type="bibr" rid="B32">Yap and Chan, 2019</xref>). Once activated, B cells differentiate into plasma cells, also referred to as antibody-secreting cells or effector B cells (<xref ref-type="bibr" rid="B28">Wu et al., 2023</xref>). Plasma cells are highly active and produce an excessive amount of autoantibodies. These antibodies are essential in driving immune complex formation and deposition, which in turn provoke inflammation and cause tissue damage.</p>
<p>Both BAFF and April belong to the tumor necrosis factor (TNF) family of cytokines, which are critical for B-cell growth and proliferation (<xref ref-type="bibr" rid="B26">Vincent et al., 2013</xref>). Therapies targeting abnormal B-cell activation have become a popular strategy in the clinical management of SLE (<xref ref-type="bibr" rid="B2">Bag-Ozbek and Hui-Yuen, 2021</xref>).</p>
<p>Belimumab is a recombinant, soluble humanized monoclonal antibody against BAFF. It blocks the binding of BAFF to its receptors, inhibits B-cell activation, and reduces antibody production. Since 2011, the U.S. Food and Drug Administration (FDA) has approved belimumab for SLE patients with active, autoantibody-positive disease. In several studies, belimumab demonstrated efficacy in patients with LN (<xref ref-type="bibr" rid="B18">Pl&#xfc;&#xdf; et al., 2022</xref>; <xref ref-type="bibr" rid="B21">Sciascia et al., 2017</xref>). Related research indicated that, compared with the control group, belimumab can alleviate symptoms and improve renal function in LN patients (<xref ref-type="bibr" rid="B12">Furie et al., 2020</xref>); however, its onset of action seems to be delayed (<xref ref-type="bibr" rid="B34">Zhang et al., 2023</xref>). Other studies suggested that belimumab can help mitigate arthritis, rash, and thrombocytopenia. Additionally, belimumab treatment also reduces the likelihood of serious treatment-related adverse events and the need for high-dose glucocorticoids (<xref ref-type="bibr" rid="B29">Wu Q. et al., 2024</xref>; <xref ref-type="bibr" rid="B5">Chan et al., 2023</xref>; <xref ref-type="bibr" rid="B33">Zen et al., 2023</xref>).</p>
<p>Telitacicept, a dual-target biological agent, can simultaneously bind to both April and BAFF, effectively impeding their interaction with respective receptors. Previous research has indicated that in patients with SLE, the serum level of April is positively correlated with the elevation of autoantibodies and the extent of organ damage (<xref ref-type="bibr" rid="B20">Salazar-Camarena et al., 2020</xref>). In animal experiments, knocking out the April gene in SLE mice could ameliorate LN and reduce mortality (<xref ref-type="bibr" rid="B25">Tran et al., 2017</xref>).</p>
<p>A phase III, placebo-controlled, multi-center, randomized, double-blind study conducted in China to assess the safety and efficacy of telitacicept in comparison to placebo demonstrated that the telitacicept 160&#xa0;mg group achieved a Systemic Lupus Erythematosus Responder Index 4 (SRI-4) response rate of 82.6% after 52&#xa0;weeks of treatment. Moreover, all SRI-5/6/7/8 response rates were higher than those in the placebo group.</p>
<p>In this retrospective cohort study, we evaluated the efficacy of telitacicept in patients with SLE complicated by LN and NS over treatment durations of 3&#xa0;months and 12&#xa0;months, in addition to conventional therapy.</p>
<p>After 3&#xa0;months of telitacicept treatment, a significant reduction in the SLEDAI, anti-dsDNA levels, and IgG levels were observed. There was also a decrease in 24hUpr and an increase in complement C3 and complement C4. Notably, patients with higher baseline anti-dsDNA levels exhibited a more pronounced decline after 3&#xa0;months of telitacicept treatment. No significant differences were found in SCr and IgM levels during treatment. That the possible explanation is that, in most patients, SCr levels were not severely elevated and IgM levels were within the normal range before treatment. The reductions in anti-dsDNA, SLEDAI scores, and IgG levels, coupled with the increases in complement components C3 and C4, demonstrate a decrease in disease activity for both SLE and LN. Furthermore, the reduction in 24hUpr indicated effective control of LN and associated NS, reflecting an attenuation of renal injury.</p>
<p>After 12&#xa0;months of telitacicept treatment, a significant decrease of SLEDAI and anti-dsDNA levels were found. Similar to the 3-month results, 24hUpr decreased, and C3 and C4 increased. However, a significant increase in HGB levels was noted, while IgG levels remained relatively stable. Twelve patients showed a statistically significant improvement in HGB levels after 12&#xa0;months of telitacicept treatment, which is consistent with previous reports (<xref ref-type="bibr" rid="B8">Cheng et al., 2024</xref>; <xref ref-type="bibr" rid="B15">Jin et al., 2025</xref>). In particular, 5 patients with moderate anemia (baseline HGB levels ranging from 60 to 90&#xa0;g/L) exhibited a substantial elevation in HGB, with all reaching normal levels within the reference range. Although the evidence on telitacicept&#x2019;s role in ameliorating anemia remains limited, current data strongly indicate its potential effectiveness. These findings highlight the necessity for further mechanistic and clinical investigations to clarify the potential pathways through which telitacicept confers hematologic benefits and confirm its therapeutic value in the management of anemia.</p>
<p>Although no statistically significant changes in IgG levels were observed in the 12&#xa0;months, a clinically meaningful trend emerged. Before treatment, only four patients had elevated IgG levels (16.73&#x2013;28.39&#xa0;g/L). After telitacicept administration, all patients&#x2019; IgG concentrations fell within the normal reference range (IgG &#x3c;15.6&#xa0;g/L), implying a potential regulatory effect of the therapy on immunoglobulin homeostasis, despite the lack of statistical significance. Moreover, IgG reduction was significant at 3 months post-telitacicept initiation, indicating a rapid treatment effect on IgG suppression within the initial treatment phase.</p>
<p>This study demonstrated the significant efficacy of telitacicept in reducing proteinuria, enhancing renal function, alleviating the activity of SLE, and improving the anemic state of patients. In terms of safety, clinical follow-up and auxiliary examinations showed that during the entire observation period, none of the 12 enrolled patients experienced treatment-related adverse events, such as infections or gastrointestinal symptoms.</p>
<p>However, this study has several limitations. Firstly, it was a single-arm retrospective study. The small sample size, absence of a control group, and relatively simplistic statistical methods restricted the scope of the conclusions drawn. Given that SLE is a disease with a long treatment course and a high tendency to recur, the short observation period in this study made it impossible to accurately evaluate the long-term efficacy of telitacicept.</p>
<p>Secondly, this study aimed to assess the efficacy of telitacicept in patients with SLE complicated by LN and NS. Nevertheless, the lack of sufficient longitudinal follow-up data prevented a comparative analysis of serum albumin levels, blood pressure, and lipid profiles before and after treatment.</p>
<p>In summary, future research should carefully reconsider the study design, conduct more comprehensive patient follow-up, increase the sample size, and carry out further in-depth investigations.</p>
<p>In conclusion, this rpractical cohort study provides new evidence for the treatment of renal involvement in SLE. Telitacicept demonstrated clinical efficacy and a favorable safety profile in the treatment of SLE with LN and NS in this cohort.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<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 sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of The First Affilliated hospital of Guangzhou University of Chinese Medicine. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin because This study is a retrospective study, and no human biological specimens were used as research tools.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>M-YL: Data curation, Funding acquisition, Methodology, Writing &#x2013; original draft, Writing &#x2013; review and editing. L-JL: Data curation, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review and editing. TL: Data curation, Writing &#x2013; original draft. H-SZ: Data curation, Writing &#x2013; original draft. C-SL: Supervision, Validation, Writing &#x2013; review and editing. QX: Supervision, Validation, Writing &#x2013; review and editing. Q-PL: Supervision, Validation, Writing &#x2013; review and editing.</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. The study was supported by the National Natural Science Foundation of China (No. 82205109).</p>
</sec>
<ack>
<p>We appreciate the work of Yi Zou of Xi&#x2019;an Jiaotong-Liverpool University for sharing his statistical analysis method, and Zefeng Wang of Yale University for his expertise in revising the article.</p>
</ack>
<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>
</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>
<sec sec-type="supplementary-material" id="s13">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2025.1613790/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2025.1613790/full&#x23;supplementary-material</ext-link>
</p>
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<supplementary-material xlink:href="Supplementaryfile1.doc" id="SM2" mimetype="application/doc" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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