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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2022.840857</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Serum IgE Levels Are Associated With the Prognosis of Minimal Change Disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Heng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Lefeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1606662"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Xiayu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Wenqing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>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="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Jianghua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/656997"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Kidney Disease Center, First Affiliated Hospital, College of Medicine, Zhejiang University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Key Laboratory of Kidney Disease Prevention and Control Technology</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>National Key Clinical Department of Kidney Diseases</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Institute of Nephrology, Zhejiang University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Zhejiang Clinical Research Center of Kidney and Urinary System Disease</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Vincent Audard, H&#xf4;pitaux Universitaires Henri Mondor, France</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Claire Rigothier, Centre Hospitalier Universitaire de Bordeaux, France; Andreas Kronbichler, Innsbruck Medical University, Austria; Philipp Gauckler, Innsbruck Medical University, Austria, in collaboration with reviewer AK</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jianghua Chen, <email xlink:href="mailto:chenjianghua@zju.edu.cn">chenjianghua@zju.edu.cn</email> </p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Autoimmune and Autoinflammatory Disorders, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>840857</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Li, Wang, Li, Chen, Zhang and Chen</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Li, Wang, Li, Chen, Zhang 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>Previous reports showed that some patients with minimal change disease (MCD) had high serum immunoglobulin E (IgE) levels. This study aimed to explore the proportion of MCD patients with high serum IgE levels and evaluate the correlation between serum IgE levels and MCD remission and relapse.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study enrolled 222 new-onset patients with renal biopsy-confirmed MCD from October 2012 to October 2019 at the First Affiliated Hospital of Zhejiang University in Hangzhou, China. Patients&#x2019; demographics and clinical parameters were analyzed.</p>
</sec>
<sec>
<title>Results</title>
<p>The results indicated that 70.3% of 222 MCD patients had high serum IgE levels (IgE &gt; 100.0 IU/mL). Moreover, 134 patients were treated with glucocorticoids alone and divided into the low- and high-IgE groups, according to the median serum IgE level (523.5 IU/mL). The mean time to complete remission of the low- and high-IgE groups was 29.0 &#xb1; 2.2 and 45.7 &#xb1; 4.2 days, respectively (log-rank test; <italic>P</italic> = 0.002). The mean time to total remission was 19.1 &#xb1; 1.4 and 31.6 &#xb1; 3.2 days of the low- and high-IgE groups, respectively (log-rank test; <italic>P</italic> &lt; 0.001). The mean time to first relapse in the low- and high-IgE groups was 701.2 &#xb1; 65.0 and 425.0 &#xb1; 52.6 days, respectively (log-rank test; <italic>P</italic> = 0.002). Serum IgE &#x2265; 523.5 IU/mL was an independent correlation factor affecting the patients&#x2019; remission and relapse.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Serum IgE level was an independent correlation factor for MCD remission and relapse. MCD patients with high serum IgE levels were prone to delayed remissions and early relapses.</p>
</sec>
</abstract>
<kwd-group>
<kwd>minimal change disease</kwd>
<kwd>serum IgE level</kwd>
<kwd>remission</kwd>
<kwd>relapse</kwd>
<kwd>risk factor</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="30"/>
<page-count count="10"/>
<word-count count="5847"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Minimal change disease (MCD) is a common pathological type of idiopathic nephrotic syndrome (INS). MCD accounts for 70%&#x2013;90%, 50%, and 10%&#x2013;15% of patients with INS in children &lt; 10 years old, children &gt; 10 years old, and adults, respectively (<xref ref-type="bibr" rid="B1">1</xref>). Typical MCD clinical manifestations include hypoalbuminemia and massive proteinuria, possibly accompanied by edema and hyperlipidemia (<xref ref-type="bibr" rid="B1">1</xref>). Glucocorticoids are usually the first choice for initial immunosuppressive therapy in patients with MCD (<xref ref-type="bibr" rid="B2">2</xref>). About 90% and 70% of children and adults with MCD, respectively, can achieve complete remission after receiving a course of glucocorticoid treatment but are prone to relapse (<xref ref-type="bibr" rid="B3">3</xref>). About 56%&#x2013;76% of MCD patients will experience at least one relapse, and some patients may experience frequent relapses or steroid dependence (<xref ref-type="bibr" rid="B4">4</xref>). Changing the therapeutic regimen in time is crucial for these patients. Therefore, evaluating the clinical efficacy of glucocorticoids in MCD is important.</p>
<p>Reports in the 1970s showed that the serum immunoglobulin E (IgE) levels of several MCD patients were higher than normal (<xref ref-type="bibr" rid="B5">5</xref>). Serum IgE level was low in normal conditions, and elevated level was usually associated with allergic reactions (<xref ref-type="bibr" rid="B6">6</xref>). Several case reports reported the onset of nephrotic syndrome caused by food, allergen inhalation, insect bites, and vaccination (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Numerous reports indicated that INS could be precipitated by allergic reactions, and INS patients could exhibit increased serum IgE levels (<xref ref-type="bibr" rid="B11">11</xref>). However, many MCD patients with high serum IgE levels had no history of allergy. Therefore, although some INS cases were associated with allergies, evidence that INS was a type of allergic disorder was weak (<xref ref-type="bibr" rid="B11">11</xref>). Shu et al. (<xref ref-type="bibr" rid="B12">12</xref>) reported that the serum IgE levels in MCD patients with frequent relapses were significantly higher than that in patients with non-relapse or infrequent-relapse, indicating that high serum IgE levels may be related to frequent MCD relapse. But the relevant studies on the correlation between serum IgE levels and prognosis of MCD were lacking. This study aims to explore the proportion of MCD patients with high serum IgE levels and evaluate the correlation between serum IgE levels and MCD remission and relapse.</p>
</sec>
<sec id="s2">
<title>2 Methods</title>
<sec id="s2_1">
<title>2.1 Study Design and Population</title>
<p>This retrospective observational study was performed at a single center, the Kidney Disease Center of the First Affiliated Hospital, College of Medicine, Zhejiang University (Hangzhou, China), from October 2012 to October 2019. The study complied with the Declaration of Helsinki. The Clinical Research Ethics Committee of the First Affiliated Hospital, Zhejiang University School of Medicine, provided ethical approval and waived informed consent.</p>
<p>The study included patients who met the following criteria: (1) 24-h urinary protein &#x2265; 3.5 g/day or urine protein to creatinine ratio (UP/Cr) &#x2265; 3.5 g/g for adults, and UP/Cr &#x2265; 2.0 g/g or &#x2265; 3+ on urine dipstick for children; (2) serum albumin &lt; 30 g/L; (3) pathologically proven MCD by renal biopsy; and (4) new-onset of disease or discontinuation of immunosuppressive therapy for more than 1 year. Patients were excluded if they had any of the following conditions: (1) infectious diseases (e.g. hepatitis B, AIDS, syphilis, and tuberculosis); (2) malignant tumors; (3) connective tissue diseases; (4) diabetes mellitus; and (5) missing data on serum IgE levels at the onset.</p>
</sec>
<sec id="s2_2">
<title>2.2 Data Collection</title>
<p>As shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, patiens&#x2019; demographics and clinical parameters at the time of renal biopsy were collected, including gender, age, disease duration, body mass index, serum total IgE level, serum albumin (Alb), serum creatinine (SCr), estimated glomerular filtration rate (eGFR), serum uric acid (UA), serum triglyceride (TG), serum total cholesterol (TC), urine protein to creatinine ratio (UP/Cr), systolic blood pressure, diastolic blood pressure, fasting blood glucose, allergic history, comorbidities, treatment regimen, <italic>etc.</italic>
</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of patients with minimal change disease.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" colspan="3" align="center">Mean &#xb1; SD/median (Q1, Q3)/ <italic>n</italic> (%)</th>
<th valign="top" rowspan="2" align="center">
<italic>P</italic>
<sup>*</sup>
</th>
</tr>
<tr>
<th valign="top" align="center">Overall, <italic>n</italic> = 222</th>
<th valign="top" align="center">Low-IgE, <italic>n</italic> = 111</th>
<th valign="top" align="center">High-IgE, <italic>n</italic> = 111</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">IgE level, IU/mL</td>
<td valign="top" align="center">389.5 (79.5, 1087.2)</td>
<td valign="top" align="center">79.4 (40.0, 157.0)</td>
<td valign="top" align="center">1090.0 (685.5, 1807.5)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">88 (39.6%)</td>
<td valign="top" align="center">64 (57.7%)</td>
<td valign="top" align="center">24 (21.6%)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Age, years old</td>
<td valign="top" align="center">25.5 (19.0, 43.8)</td>
<td valign="top" align="center">33.0 (20.0, 50.5)</td>
<td valign="top" align="center">22.0 (18.0, 28.5)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Adult</td>
<td valign="top" align="center">182 (82.0%)</td>
<td valign="top" align="center">96 (86.5%)</td>
<td valign="top" align="center">86 (77.5%)</td>
<td valign="top" align="center">0.081</td>
</tr>
<tr>
<td valign="top" align="left">Disease duration, days</td>
<td valign="top" align="center">10.0 (7.0, 20.0)</td>
<td valign="top" align="center">10.0 (7.0, 20.0)</td>
<td valign="top" align="center">10.0 (7.0, 25.5)</td>
<td valign="top" align="center">0.900</td>
</tr>
<tr>
<td valign="top" align="left">Treatment regimens</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>0.013</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GC</td>
<td valign="top" align="center">134 (60.4%)</td>
<td valign="top" align="center">58 (52.3%)</td>
<td valign="top" align="center">76 (68.5%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GC + TAC</td>
<td valign="top" align="center">58 (26.1%)</td>
<td valign="top" align="center">30 (27.0%)</td>
<td valign="top" align="center">28 (25.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TAC</td>
<td valign="top" align="center">13 (5.9%)</td>
<td valign="top" align="center">12 (10.8%)</td>
<td valign="top" align="center">1 (0.9%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GC + CsA</td>
<td valign="top" align="center">7 (3.2%)</td>
<td valign="top" align="center">3 (2.7%)</td>
<td valign="top" align="center">4 (3.6%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GC + CTX</td>
<td valign="top" align="center">2 (0.9%)</td>
<td valign="top" align="center">2 (1.8%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GC + RTX</td>
<td valign="top" align="center">1 (0.5%)</td>
<td valign="top" align="center">1 (0.9%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-immunosuppressive treatment</td>
<td valign="top" align="center">7 (3.2%)</td>
<td valign="top" align="center">5 (4.5%)</td>
<td valign="top" align="center">2 (1.8%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup>
</td>
<td valign="top" align="center">22.7 (20.8, 25.8)</td>
<td valign="top" align="center">22.4 (20.8, 24.7)</td>
<td valign="top" align="center">23.1 (20.8, 26.4)</td>
<td valign="top" align="center">0.350</td>
</tr>
<tr>
<td valign="top" align="left">Allergy</td>
<td valign="top" align="center">32 (14.4%)</td>
<td valign="top" align="center">18 (16.2%)</td>
<td valign="top" align="center">14 (12.6%)</td>
<td valign="top" align="center">0.445</td>
</tr>
<tr>
<td valign="top" align="left">FBG, mmol/L</td>
<td valign="top" align="center">4.4 (4.1, 4.8)</td>
<td valign="top" align="center">4.4 (4.1, 4.9)</td>
<td valign="top" align="center">4.3 (4.0, 4.8)</td>
<td valign="top" align="center">0.252</td>
</tr>
<tr>
<td valign="top" align="left">SBP, mmHg</td>
<td valign="top" align="center">121.6 &#xb1; 13.4</td>
<td valign="top" align="center">120.4 &#xb1; 13.5</td>
<td valign="top" align="center">122.8 &#xb1; 13.3</td>
<td valign="top" align="center">0.180</td>
</tr>
<tr>
<td valign="top" align="left">DBP, mmHg</td>
<td valign="top" align="center">75.2 &#xb1; 9.9</td>
<td valign="top" align="center">75.6 &#xb1; 9.3</td>
<td valign="top" align="center">74.8 &#xb1; 10.5</td>
<td valign="top" align="center">0.565</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">30 (13.5%)</td>
<td valign="top" align="center">18 (16.2%)</td>
<td valign="top" align="center">12 (10.8%)</td>
<td valign="top" align="center">0.239</td>
</tr>
<tr>
<td valign="top" align="left">Alb, g/L</td>
<td valign="top" align="center">17.6 (15.2, 21.0)</td>
<td valign="top" align="center">18.3 (15.4, 21.9)</td>
<td valign="top" align="center">17.2 (14.7, 19.8)</td>
<td valign="top" align="center">
<bold>0.013</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">SCr, &#x3bc;mol/L</td>
<td valign="top" align="center">79.5 (62.0, 102.0)</td>
<td valign="top" align="center">73.0 (60.5, 94.5)</td>
<td valign="top" align="center">84.0 (66.5, 117.5)</td>
<td valign="top" align="center">
<bold>0.006</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">eGFR, mL/(min &#xd7; 1.73 m<sup>2</sup>)</td>
<td valign="top" align="center">96.9 &#xb1; 38.0</td>
<td valign="top" align="center">96.2 &#xb1; 37.3</td>
<td valign="top" align="center">97.6 &#xb1; 38.7</td>
<td valign="top" align="center">0.788</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;eGFR &#x2265; 90 mL/(min &#xd7; 1.73 m<sup>2</sup>)</td>
<td valign="top" align="center">130 (58.6%)</td>
<td valign="top" align="center">66 (59.5%)</td>
<td valign="top" align="center">64 (57.7%)</td>
<td valign="top" rowspan="1" align="center">0.785</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;eGFR &lt; 90 mL/(min &#xd7; 1.73 m<sup>2</sup>)</td>
<td valign="top" align="center">92 (41.4%)</td>
<td valign="top" align="center">45 (40.5%)</td>
<td valign="top" align="center">47 (42.3%)</td>
</tr>
<tr>
<td valign="top" align="left">UA, &#x3bc;mol/L</td>
<td valign="top" align="center">402.3 &#xb1; 124.8</td>
<td valign="top" align="center">374.9 &#xb1; 121.7</td>
<td valign="top" align="center">429.7 &#xb1; 122.4</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Abnormal UA level</td>
<td valign="top" align="center">89 (40.1%)</td>
<td valign="top" align="center">35 (31.5%)</td>
<td valign="top" align="center">54 (48.6%)</td>
<td valign="top" align="center">
<bold>0.009</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">AKI</td>
<td valign="top" align="center">39 (17.6%)</td>
<td valign="top" align="center">14 (12.6%)</td>
<td valign="top" align="center">25 (22.5%)</td>
<td valign="top" align="center">0.052</td>
</tr>
<tr>
<td valign="top" align="left">TG, mmol/L</td>
<td valign="top" align="center">2.0 (1.5, 3.0)</td>
<td valign="top" align="center">2.0 (1.5, 2.8)</td>
<td valign="top" align="center">2.2 (1.5, 3.2)</td>
<td valign="top" align="center">0.623</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TG &#x2264; 1.7 mmol/L</td>
<td valign="top" align="center">77 (34.7%)</td>
<td valign="top" align="center">37 (33.3%)</td>
<td valign="top" align="center">40 (36.0%)</td>
<td valign="top" rowspan="1" align="center">0.672</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TG &gt; 1.7mmol/L</td>
<td valign="top" align="center">145 (65.3%)</td>
<td valign="top" align="center">74 (66.7%)</td>
<td valign="top" align="center">71 (64.0%)</td>
</tr>
<tr>
<td valign="top" align="left">TC, mmol/L</td>
<td valign="top" align="center">9.7 (7.7, 11.9)</td>
<td valign="top" align="center">8.7 (7.1, 11.3)</td>
<td valign="top" align="center">10.1 (8.3, 12.3)</td>
<td valign="top" align="center">
<bold>0.010</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TC &#x2264; 5.86 mmol/L</td>
<td valign="top" align="center">16 (7.2%)</td>
<td valign="top" align="center">11 (9.9%)</td>
<td valign="top" align="center">5 (4.5%)</td>
<td valign="top" rowspan="1" align="center">0.119</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TC &gt; 5.86 mmol/L</td>
<td valign="top" align="center">206 (92.8%)</td>
<td valign="top" align="center">100 (90.1%)</td>
<td valign="top" align="center">106 (95.5%)</td>
</tr>
<tr>
<td valign="top" align="left">UP/Cr, g/g</td>
<td valign="top" align="center">4.9 (3.7, 7.3)</td>
<td valign="top" align="center">5.1 (3.8, 7.4)</td>
<td valign="top" align="center">4.7 (3.6, 7.0)</td>
<td valign="top" align="center">0.323</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AKI, acute kidney injury; Alb, albumin; BMI, body mass index; CsA, cyclosporine; CTX, cyclophosphamide; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; FBG, fasting blood glucose; GC, glucocorticoids; Q1, lower quartile; Q3, upper quartile; RTX, rituximab; SBP, systolic blood pressure; SCr, serum creatinine; TAC, tacrolimus; TC, total cholesterol; TG, triglyceride; UA, uric acid; UP/Cr, urine protein to creatinine ratio. <sup>*</sup>P High-IgE vs. Low-IgE. P &lt; 0.05 was shown in bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The eGFR was calculated using the four-variable Modification of Diet in Renal Disease Study equation (<xref ref-type="bibr" rid="B13">13</xref>). The serum total IgE levels of MCD patients were analyzed using the ImmunoCAP system (<xref ref-type="bibr" rid="B14">14</xref>). The normal value of serum total IgE was &#x2264; 100 IU/mL.</p>
</sec>
<sec id="s2_3">
<title>2.3 Immunosuppressive Treatment Regimens</title>
<p>For the new-onset biopsy-proven MCD patients, daily prednisolone (0.5-1.0 mg/kg/d, up to 80 mg/d) was generally used as the initial immunosuppressive treatment, and was maintained for 2-4 weeks if patients achieved complete remission or for a maximum of 16 weeks if patients didn&#x2019;t achieve complete remission. After remission, the dosage of glucocorticoids was tapered over 6 months. For relapse patients, the same initial dosage of glucocorticoids was used and was gradually tapered after remission was achieved. For patients with a contraindication to or intolerance of high-dose glucocorticoids, and patients with frequent relapses or steroid dependence, second-line agents such as cyclophosphamide, tacrolimus, cyclosporine, or rituximab were used. The choices of second-line agents were up to the individual nephrologists.</p>
</sec>
<sec id="s2_4">
<title>2.4 Follow-Up</title>
<p>Patients&#x2019; clinical parameters at 1, 2, 3, 6, and 12 months were collected and analyzed. And the subsequent follow-ups were also recorded. The data were collected at specific time points if patients achieved remission or relapse at other times (within 1 month or beyond 12 months, for example). The last follow-up point was the latest clinical visit available in the follow-up system. The tolerated time-frame for follow-up time points were 30 days &#xb1; 1 week in this study. Clinical parameters included serum IgE levels, Alb, SCr, eGFR, UA, TG, TC, 24-h urine protein, and UP/Cr.</p>
</sec>
<sec id="s2_5">
<title>2.5 Outcomes Definition</title>
<p>The primary endpoint of this study was remission and relapse. Remission included partial remission (PR), complete remission (CR), and total remission (TR). The secondary endpoint included time to remission and time to first relapse. These indexes were defined as follows (<xref ref-type="bibr" rid="B15">15</xref>):</p>
<p>For adults, PR was the decrease in 24-h urine protein to &lt; 3.5 g/day but &gt; 0.3 g/day or in UP/Cr to &lt; 3.5 g/g but &gt; 0.3 g/g with a 50% reduction from its peak value. CR was the serum albumin &#x2265; 30 g/L with a decrease in 24-h urine protein to &#x2264; 0.3 g/day or in UP/Cr to &#x2264; 0.3 g/g. For children, PR was the decrease in UP/Cr to &lt; 2.0 g/g but &gt; 0.2 g/g with a 50% reduction from its peak value. CR was the serum albumin &#x2265; 30 g/L with a decrease in UP/Cr to &#x2264; 0.2 g/g or trace or negative results on repeat urine albumin dipstick.</p>
<p>TR was the achievement of PR or CR.</p>
<p>Time to remission was the time interval from treatment initiation to the first day of remission.</p>
<p>For adults, relapse was the increase in 24-h urine protein to &#x2265; 3.5 g/day or in UP/Cr to &#x2265; 3.5 g/g in patients who underwent TR with a 50% increase from its valley value. For children, relapse was the increase in urine dipstick to &#x2265; 3+ or in UP/Cr to &#x2265; 2.0 g/g in patients who underwent TR with a 50% increase from its valley value.</p>
<p>Time to the first relapse was the time interval from TR initiation to the day when the first relapse occurred (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Steroid resistance was defined as not achieving remission despite at least 16 weeks of prednisone (1 mg/kg/d) treatment.</p>
<p>Frequent relapse was defined as 2 or more relapses per 6 months (or 4 or more relapses per 12 months).</p>
<p>Steroid dependence was defined as relapse during corticosteroid therapy or within 2 weeks of discontinuing corticosteroid therapy.</p>
</sec>
<sec id="s2_6">
<title>2.6 Statistical Analysis</title>
<p>The Kolmogorov&#x2013;Smirnov test determined whether the continuous variables conform to the normal distribution. Normally distributed continuous variables were represented by mean &#xb1; SD, and the comparison between the two groups was performed using the unpaired <italic>t-</italic>test. Non-normally distributed continuous variables were represented by median (lower quartile, upper quartile), and the Mann&#x2013;Whitney <italic>U</italic> test was used to compare the two groups. Categorical variables were expressed as frequency (percentage), and comparison between groups was performed by chi-square test, continuity-corrected chi-square test, or Fisher&#x2019;s exact test. A two-sided test was performed on all data, and <italic>P</italic> &lt; 0.05 was regarded as statistically significant.</p>
<p>The remission rate and the probability of the first relapse between the two groups were estimated using the Kaplan&#x2013;Meier method, and survival curves were compared with the log-rank test. Cox proportional hazards analysis model was used to explore the effects of different variables on MCD remission and relapse. Variables with <italic>P</italic> &lt; 0.1 in the univariate analysis were included in the multivariate analysis with covariates. The independent correlation factors for the endpoint event were obtained using forward stepwise regression (&#x3b1;<sub>included</sub> = 0.05 and &#x3b1;<sub>excluded</sub> = 0.10).</p>
<p>The SPSS 24.0, GraphPad Prism 9.0, R 4.0.3, and EmpowerStats software were used for data analysis in this study.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec id="s3_1">
<title>3.1 Demographic and Clinical Features</title>
<p>As shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, a total of 222 MCD patients were enrolled in this study. The baseline characteristics of these patients were listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The median (Q1, Q3) of the age was 25.5 (19.0, 43.8) years old, and the range of the age was 14.0-81.0 years old. A total of 182 patients (82.0%) were adults. The median serum IgE level of these patients was 389.5 (79.5, 1087.2) IU/mL. And 156 (70.3%) patients had high serum IgE levels (IgE &gt; 100.0 IU/mL) at the disease onset. Of the 222 patients, 134 patients received glucocorticoids alone as their initial immunosuppressive treatment, 58 patients received glucocorticoids plus tacrolimus, 13 patients received tacrolimus alone, 7 patients received glucocorticoids plus cyclosporin, 2 patients received glucocorticoids plus cyclophosphamide, 1 patient received glucocorticoids plus rituximab, and 7 patients didn&#x2019;t receive any immunosuppressive treatment.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart. The flowchart shows 222 enrolled patients with 134 patients treated with glucocorticoids alone and 88 patients treated with other treatment regimens. CsA, cyclosporine; CTX, cyclophosphamide; GC, glucocorticoids; TAC, tacrolimus; RTX, rutuximab.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-840857-g001.tif"/>
</fig>
<p>And the 134 patients who received glucocorticoids alone were included for further analyses to explore the correlation between serum IgE levels and the efficacy of glucocorticoids for MCD. As shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, of the included patients, 46 were females which accounted for 34.3% of the total population. 27 were children which accounted for 20.1% of the total population. And the median age of the patients was 24.0 (19.0, 43.8) years old. The median follow-up period of the patients was 15.2 (12.2, 46.6) months. A total of 22 patients that accounted for 16.4% of the total population had allergic history, including bronchial asthma, allergic rhinitis, atopic dermatitis, urticaria, and other allergic conditions. 33 patients that accounted for 24.6% of the total population had infections at the disease onset, including upper respiratory tract infections, suppurative tonsillitis, pneumonia, and gastroenteritis. The median serum IgE level was 523.5 (91.1, 1230.8) IU/mL and was set as the cutoff point, and 134 MCD patients were equally divided into two groups: low-IgE (IgE &lt; 523.5 IU/mL) and high-IgE (IgE &#x2265; 523.5 IU/mL) groups.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Baseline characteristics of patients with minimal change disease treated with glucocorticoids.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" colspan="3" align="center">Mean &#xb1; SD/median (Q1, Q3)/ <italic>n</italic> (%)</th>
<th valign="top" rowspan="2" align="center">
<italic>P</italic>
<sup>*</sup>
</th>
</tr>
<tr>
<th valign="top" align="center">Overall, <italic>n</italic> = 134</th>
<th valign="top" align="center">Low-IgE, <italic>n</italic> = 67</th>
<th valign="top" align="center">High-IgE, <italic>n</italic> = 67</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">IgE level, IU/mL</td>
<td valign="top" align="center">523.5 (91.1, 1230.8)</td>
<td valign="top" align="center">90.6 (42.0, 256.5)</td>
<td valign="top" align="center">1238.0 (808.5, 2239.5)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">46 (34.3%)</td>
<td valign="top" align="center">33 (49.3%)</td>
<td valign="top" align="center">13 (19.4%)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Age, years old</td>
<td valign="top" align="center">24.0 (19.0, 43.8)</td>
<td valign="top" align="center">32.0 (19.0, 50.0)</td>
<td valign="top" align="center">21.0 (18.0, 28.0)</td>
<td valign="top" align="center">
<bold>0.024</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Adult</td>
<td valign="top" align="center">107 (79.9%)</td>
<td valign="top" align="center">55 (82.1%)</td>
<td valign="top" align="center">52 (77.6%)</td>
<td valign="top" align="center">0.518</td>
</tr>
<tr>
<td valign="top" align="left">Disease duration, days</td>
<td valign="top" align="center">10.0 (7.0, 20.8)</td>
<td valign="top" align="center">10.0 (7.0, 20.0)</td>
<td valign="top" align="center">10.0 (7.0, 25.5)</td>
<td valign="top" align="center">0.881</td>
</tr>
<tr>
<td valign="top" align="left">Follow-up period, months</td>
<td valign="top" align="center">15.2 (12.2, 46.6)</td>
<td valign="top" align="center">15.7 (12.2, 49.5)</td>
<td valign="top" align="center">14.7 (12.2, 42.2)</td>
<td valign="top" align="center">0.805</td>
</tr>
<tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup>
</td>
<td valign="top" align="center">23.3 (20.9, 25.8)</td>
<td valign="top" align="center">23.6 (21.4, 25.9)</td>
<td valign="top" align="center">22.5 (20.8, 25.5)</td>
<td valign="top" align="center">0.259</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol</td>
<td valign="top" align="center">19 (14.2%)</td>
<td valign="top" align="center">9 (13.4%)</td>
<td valign="top" align="center">10 (14.9%)</td>
<td valign="top" align="center">0.804</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center">28 (20.9%)</td>
<td valign="top" align="center">10 (14.9%)</td>
<td valign="top" align="center">18 (26.9%)</td>
<td valign="top" align="center">0.089</td>
</tr>
<tr>
<td valign="top" align="left">Infections</td>
<td valign="top" align="center">33 (24.6%)</td>
<td valign="top" align="center">14 (20.9%)</td>
<td valign="top" align="center">19 (28.4%)</td>
<td valign="top" align="center">0.316</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Upper respiratory tract infections</td>
<td valign="top" align="center">24 (17.9%)</td>
<td valign="top" align="center">10 (14.9%)</td>
<td valign="top" align="center">14 (20.9%)</td>
<td valign="top" align="center">0.367</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Suppurative tonsillitis</td>
<td valign="top" align="center">2 (1.5%)</td>
<td valign="top" align="center">1 (1.5%)</td>
<td valign="top" align="center">1 (1.5%)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Pneumonia</td>
<td valign="top" align="center">4 (3.0%)</td>
<td valign="top" align="center">2 (3.0%)</td>
<td valign="top" align="center">2 (3.0%)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Gastroenteritis</td>
<td valign="top" align="center">3 (2.2%)</td>
<td valign="top" align="center">1 (1.5%)</td>
<td valign="top" align="center">2 (3.0%)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Allergy</td>
<td valign="top" align="center">22 (16.4%)</td>
<td valign="top" align="center">10 (14.9%)</td>
<td valign="top" align="center">12 (17.9%)</td>
<td valign="top" align="center">0.641</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Bronchial asthma</td>
<td valign="top" align="center">2 (1.5%)</td>
<td valign="top" align="center">2 (3.0%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">0.496</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Allergic rhinitis</td>
<td valign="top" align="center">4 (3.0%)</td>
<td valign="top" align="center">1 (1.5%)</td>
<td valign="top" align="center">3 (4.5%)</td>
<td valign="top" align="center">0.619</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Atopic dermatitis</td>
<td valign="top" align="center">6 (4.5%)</td>
<td valign="top" align="center">2 (3.0%)</td>
<td valign="top" align="center">4 (6.0%)</td>
<td valign="top" align="center">0.680</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Urticaria</td>
<td valign="top" align="center">3 (2.2%)</td>
<td valign="top" align="center">2 (3.0%)</td>
<td valign="top" align="center">1 (1.5%)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other allergic conditions</td>
<td valign="top" align="center">9 (6.7%)</td>
<td valign="top" align="center">4 (6.0%)</td>
<td valign="top" align="center">5 (7.5%)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">FBG, mmol/L</td>
<td valign="top" align="center">4.4 (4.1, 4.8)</td>
<td valign="top" align="center">4.5 (4.2, 4.8)</td>
<td valign="top" align="center">4.3 (4.0, 4.7)</td>
<td valign="top" align="center">0.059</td>
</tr>
<tr>
<td valign="top" align="left">SBP, mmHg</td>
<td valign="top" align="center">122.2 &#xb1; 12.2</td>
<td valign="top" align="center">122.3 &#xb1; 13.0</td>
<td valign="top" align="center">122.1 &#xb1; 11.5</td>
<td valign="top" align="center">0.922</td>
</tr>
<tr>
<td valign="top" align="left">DBP, mmHg</td>
<td valign="top" align="center">75.0 &#xb1; 9.6</td>
<td valign="top" align="center">76.2 &#xb1; 9.9</td>
<td valign="top" align="center">73.7 &#xb1; 9.2</td>
<td valign="top" align="center">0.133</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">20 (14.9%)</td>
<td valign="top" align="center">14 (20.9%)</td>
<td valign="top" align="center">6 (9.0%)</td>
<td valign="top" align="center">0.052</td>
</tr>
<tr>
<td valign="top" align="left">Alb, g/L</td>
<td valign="top" align="center">17.6 (15.3, 20.8)</td>
<td valign="top" align="center">18.3 (15.7, 21.4)</td>
<td valign="top" align="center">17.0 (14.6, 19.8)</td>
<td valign="top" align="center">0.055</td>
</tr>
<tr>
<td valign="top" align="left">SCr, &#x3bc;mol/L</td>
<td valign="top" align="center">82.5 (62.0, 107.2)</td>
<td valign="top" align="center">75.0 (61.0, 102.5)</td>
<td valign="top" align="center">84.0 (65.0, 115.0)</td>
<td valign="top" align="center">0.295</td>
</tr>
<tr>
<td valign="top" align="left">eGFR, mL/(min &#xd7; 1.73 m<sup>2</sup>)</td>
<td valign="top" align="center">97.1 &#xb1; 41.6</td>
<td valign="top" align="center">94.0 &#xb1; 41.5</td>
<td valign="top" align="center">100.1 &#xb1; 41.8</td>
<td valign="top" align="center">0.402</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;eGFR &#x2265; 90 mL/(min &#xd7; 1.73 m<sup>2</sup>)</td>
<td valign="top" align="center">77 (57.5%)</td>
<td valign="top" align="center">38 (56.7%)</td>
<td valign="top" align="center">39 (58.2%)</td>
<td valign="top" rowspan="1" align="center">0.861</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;eGFR &lt; 90 mL/(min &#xd7; 1.73 m<sup>2</sup>)</td>
<td valign="top" align="center">57 (42.5%)</td>
<td valign="top" align="center">29 (43.3%)</td>
<td valign="top" align="center">28 (41.8%)</td>
</tr>
<tr>
<td valign="top" align="left">Eosinophilia</td>
<td valign="top" align="center">12 (9.0%)</td>
<td valign="top" align="center">1 (1.5%)</td>
<td valign="top" align="center">11 (16.4%)</td>
<td valign="top" align="center">
<bold>0.006</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">UA, &#x3bc;mol/L</td>
<td valign="top" align="center">417.4 &#xb1; 129.5</td>
<td valign="top" align="center">401.6 &#xb1; 131.5</td>
<td valign="top" align="center">433.2 &#xb1; 126.6</td>
<td valign="top" align="center">0.159</td>
</tr>
<tr>
<td valign="top" align="left">Abnormal UA level</td>
<td valign="top" align="center">67 (50.0%)</td>
<td valign="top" align="center">32 (47.8%)</td>
<td valign="top" align="center">35 (52.2%)</td>
<td valign="top" align="center">0.604</td>
</tr>
<tr>
<td valign="top" align="left">AKI</td>
<td valign="top" align="center">36 (26.9%)</td>
<td valign="top" align="center">16 (23.9%)</td>
<td valign="top" align="center">20 (29.9%)</td>
<td valign="top" align="center">0.436</td>
</tr>
<tr>
<td valign="top" align="left">TG, mmol/L</td>
<td valign="top" align="center">2.0 (1.5, 3.0)</td>
<td valign="top" align="center">2.2 (1.6, 2.9)</td>
<td valign="top" align="center">1.9 (1.4, 3.2)</td>
<td valign="top" align="center">0.245</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TG &#x2264; 1.7 mmol/L</td>
<td valign="top" align="center">51 (38.1%)</td>
<td valign="top" align="center">20 (29.9%)</td>
<td valign="top" align="center">31 (46.3%)</td>
<td valign="top" rowspan="1" align="center">0.050</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TG &gt; 1.7 mmol/L</td>
<td valign="top" align="center">83 (61.9%)</td>
<td valign="top" align="center">47 (70.1%)</td>
<td valign="top" align="center">36 (53.7%)</td>
</tr>
<tr>
<td valign="top" align="left">TC, mmol/L</td>
<td valign="top" align="center">9.4 (7.5, 12.0)</td>
<td valign="top" align="center">8.8 (7.1, 11.7)</td>
<td valign="top" align="center">9.7 (8.2, 12.2)</td>
<td valign="top" align="center">0.186</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TC &#x2264; 5.86 mmol/L</td>
<td valign="top" align="center">10 (7.5%)</td>
<td valign="top" align="center">6 (9.0%)</td>
<td valign="top" align="center">4 (6.0%)</td>
<td valign="top" rowspan="1" align="center">0.742</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TC &gt; 5.86 mmol/L</td>
<td valign="top" align="center">124 (92.5%)</td>
<td valign="top" align="center">61 (91.0%)</td>
<td valign="top" align="center">63 (94.0%)</td>
</tr>
<tr>
<td valign="top" align="left">UP/Cr, g/g</td>
<td valign="top" align="center">5.0 (3.7, 7.1)</td>
<td valign="top" align="center">4.8 (3.7, 7.2)</td>
<td valign="top" align="center">5.0 (4.2, 6.9)</td>
<td valign="top" align="center">0.772</td>
</tr>
<tr>
<td valign="top" align="left">Total steroid dosages, g</td>
<td valign="top" align="center">1.2 (0.8, 2.2)</td>
<td valign="top" align="center">1.0 (0.7, 1.8)</td>
<td valign="top" align="center">1.4 (0.9, 2.9)</td>
<td valign="top" align="center">
<bold>0.008</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Steroid-resistance</td>
<td valign="top" align="center">2 (1.5%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">2 (3.0%)</td>
<td valign="top" align="center">0.496</td>
</tr>
<tr>
<td valign="top" align="left">Steroid-dependence</td>
<td valign="top" align="center">30 (22.4%)</td>
<td valign="top" align="center">10 (14.9%)</td>
<td valign="top" align="center">20 (29.9%)</td>
<td valign="top" align="center">0.038</td>
</tr>
<tr>
<td valign="top" align="left">Frequent relapse</td>
<td valign="top" align="center">9 (6.7%)</td>
<td valign="top" align="center">1 (1.5%)</td>
<td valign="top" align="center">8 (11.9%)</td>
<td valign="top" align="center">0.033</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AKI, acute kidney injury; Alb, albumin; BMI, body mass index; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; EOS, Eosinophil; FBG, fasting blood glucose; GC, glucocorticoids; Q1, lower quartile; Q3, upper quartile; SBP, systolic blood pressure; SCr, serum creatinine; TC, total cholesterol; TG, triglyceride; UA, uric acid; and UP/Cr, urine protein to creatinine ratio. <sup>*</sup>P High-IgE vs. Low-IgE. P &lt; 0.05 was shown in bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The median serum IgE level was 90.6 (42.0, 256.5) and 1238.0 (808.5, 2239.5) IU/mL in the low- and high-IgE groups, respectively. In the high-IgE group, the ages of the patients were significantly lower than that in the low-IgE group [21.0 (18.0, 28.0) <italic>vs.</italic> 32.0 (19.0, 50.0); <italic>P</italic> = 0.024]; the proportion of female patients was significantly lower than that in the low-IgE group (19.4% <italic>vs.</italic> 49.3%, <italic>P</italic> &lt; 0.001); and the proportion of patients with eosinophilia was significantly higher than that of the low-IgE group (16.4.% <italic>vs.</italic> 1.5%; <italic>P</italic> = 0.006). Moreover, the total dosages of glucocorticoids used in patients in the high-IgE group were significantly higher than that in the low-IgE group [1.4 (0.9, 2.9) <italic>vs.</italic> 1.0 (0.7, 1.8); <italic>P</italic> = 0.008]. There were no significant differences in the allergic history or other baseline parameters between the two groups (<italic>P</italic> &gt; 0.05).</p>
</sec>
<sec id="s3_2">
<title>3.2 Outcomes</title>
<sec id="s3_2_1">
<title>3.2.1 Remission</title>
<p>The Kaplan&#x2013;Meier curves were used for analysis to compare the cumulative remission rate of MCD patients in the low- and the high-IgE groups. And the Cox regression model was used to further explore the correlation between serum IgE levels and the remission rate of patients treated with glucocorticoids.</p>
<p>
<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref> shows that the average time to CR was 29.0 &#xb1; 2.2 and 45.7 &#xb1; 4.2 days in the low- and high-IgE groups (log-rank test; <italic>P</italic> = 0.002), respectively. <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2B, C</bold>
</xref> shows the independent correlation factors for CR of MCD. Serum IgE &#x2265; 523.5 IU/mL (hazard ratio [HR] = 0.615, 95% confidence interval [CI] = 0.400&#x2013;0.946; <italic>P</italic> =0.027), acute kidney injury (AKI; HR = 0.437, 95% CI = 0.257&#x2013;0.742; <italic>P</italic> = 0.002), dosages of glucocorticoids (GC-dose; HR = 0.053, 95% CI = 0.030&#x2013;0.094; <italic>P</italic> &lt; 0.001), and female (HR = 0.533, 95% CI = 0.334&#x2013;0.852; <italic>P</italic> = 0.009) were independent CR correlation factors. <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref> shows the cumulative CR rates of MCD patients in the low- and the high-IgE groups after adjusting for AKI, UA levels, age, eGFR, GC-dose, and gender in the multivariate Cox regression model. The cumulative CR rate of MCD patients in the high-IgE group was significantly lower than that in the low-IgE group (<italic>P</italic> = 0.027).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The cumulative remission rate of minimal change disease (MCD) in the low- and high-IgE groups and the identification of independent correlation factors for remission. <bold>(A)</bold> Cumulative complete remission rate. Independent correlation factors for complete remission by univariate <bold>(B)</bold> and multivariate <bold>(C)</bold> cox regression analysis. <bold>(D)</bold> Serum IgE levels were independent correlation factors for complete remission of MCD. <bold>(E)</bold> Cumulative total remission rate. Independent correlation factors for total remission by univariate <bold>(F)</bold> and multivariate <bold>(G)</bold> cox regression analysis. <bold>(H)</bold> Serum IgE levels were independent correlation factors for total remission of MCD. <italic>AKI</italic>, acute kidney injury; <italic>GC-dose</italic>, the dosages of glucocorticoids; <italic>MCD</italic>, minimal change disease, and <italic>UA</italic>, uric acid.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-840857-g002.tif"/>
</fig>
<p>
<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2E</bold>
</xref> shows that the average time to TR was 19.1 &#xb1; 1.4 and 31.6 &#xb1; 3.2 days in the low- and high-IgE groups (log-rank test; <italic>P</italic> &lt; 0.001), respectively. <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2F, G</bold>
</xref> shows the independent correlation factors for TR of MCD. Serum IgE &#x2265; 523.5 IU/mL (HR = 0.604, 95% CI = 0.413&#x2013;0.884; <italic>P</italic> =0.009), and GC-dose (HR = 0.621, 95% CI = 0.528&#x2013;0.731; <italic>P</italic> &lt; 0.001) were independent TR correlation factors. As shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2H</bold>
</xref>, after adjusting for age, AKI, GC-dose, and UA levels in the multivariate Cox regression model, the cumulative TR rate of MCD patients in the high-IgE group was significantly lower than that in the low-IgE group (<italic>P</italic> = 0.009).</p>
<p>Moreover, 2 patients exhibited steroid-resistance in the high-IgE group (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). One of them (IgE = 2874 IU/mL) was re-diagnosed with focal segmental glomerular sclerosis (FSGS) after repeat renal biopsy 5 months later. The other one (IgE = 904 IU/mL) achieved complete remission after a combined treatment of tacrolimus plus glucocorticoids for 5 months, but experienced frequent relapses later during the treatment period, and was suspected as FSGS clinically. In addition, 10 (14.9%) and 20 (29.9%) patients were steroid-dependent in the low- and high-IgE groups, respectively (<italic>P</italic> =0.038). And 8 (11.9%) patients in the high-IgE group and 1 (1.5%) patient (IgE = 420 IU/mL) in the low-IgE group experienced frequent relapses (<italic>P</italic> =0.033).</p>
</sec>
<sec id="s3_2_2">
<title>3.2.2 Relapse</title>
<p>
<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref> shows that the mean time to the first relapse in the low- and high-IgE groups was 701.2 &#xb1; 65.0 and 425.0 &#xb1; 52.6 days, respectively (log-rank test; <italic>P</italic> = 0.002). <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B, C</bold>
</xref> shows that serum IgE &#x2265; 523.5 IU/mL (HR = 2.087, 95% CI =1.224&#x2013;3.558; <italic>P</italic> = 0.007), and abnormal UA level (HR = 2.237, 95% CI = 1.304&#x2013;3.839; <italic>P</italic> = 0.003) were independent risk factors for the first relapse in MCD patients. In the multivariate Cox regression model, the probability of the first relapse of MCD patients (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>) in the high-IgE group was significantly higher than that in the low-IgE group (<italic>P</italic> = 0.007) after adjusting for age and UA levels.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Comparison of the probability of the first relapse of minimal change disease in the low- and high-IgE groups <bold>(A)</bold>, and the identification of independent correlation factors for relapse by univariate <bold>(B)</bold> and multivariate <bold>(C)</bold> cox regression analysis. <bold>(D)</bold> Serum IgE levels were independent correlation factors for relapse of minimal change disease. <italic>UA</italic>, uric acid.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-840857-g003.tif"/>
</fig>
</sec>
<sec id="s3_2_3">
<title>3.2.3 Laboratory Data</title>
<p>Serum albumin, eGFR, UP/Cr, and UA levels were compared between the two groups during the follow-up period. <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref> shows that the UA levels in the high-IgE group were significantly higher than that in the low-IgE group at month 1, 2, 3, and 6 of follow-up (<italic>P</italic> &lt; 0.05), and there were no significant differences between serum albumin, eGFR, and UP/Cr of the MCD patients in the two groups at month 0, 1, 2, 3, 6, and 12 of follow-up (<italic>P</italic> &gt; 0.05). Although 26.9% of the patients experienced AKI at the onset (as shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), their renal functions gradually recovered as the proteinuria disappeared.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Serum biochemical indexes of patients with minimal change disease during follow-up period. <bold>(A)</bold> serum albumin levels, <bold>(B)</bold> estimated glomerular filtration rate, <bold>(C)</bold> urine protein-creatinine ratio, and <bold>(D)</bold> serum uric acid levels. *<italic>P</italic> &lt; 0.05, significant difference between the high- and low-IgE groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-840857-g004.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec id="s4">
<title>4 Discussions</title>
<p>70.3% of the 222 MCD patients had high serum IgE levels at the onset in this study, including 75.0% of children and 69.2% of adults (<italic>P</italic> = 0.470). This result was consistent with previous reports. A previous study including 46 Chinese adult MCD patients found that 83.7% of the patients had high serum IgE levels, although only one patient had allergic history (<xref ref-type="bibr" rid="B17">17</xref>). Another study included 32 children with MCD and reported that 62.5% of the patients had high serum IgE levels (<xref ref-type="bibr" rid="B18">18</xref>). Elevated IgE levels usually indicated the occurrence of allergy (<xref ref-type="bibr" rid="B19">19</xref>). Though there were no significant differences in the history of allergy between the low- and high-IgE groups in this study, a higher percentage of eosinophilia was observed in the high-IgE group, indicating that the allergic condition may exist. Ni et al. (<xref ref-type="bibr" rid="B20">20</xref>) and Cheung et al. (<xref ref-type="bibr" rid="B21">21</xref>) reported that serum IgE levels of MCD patients were higher in the atopic subgroup than that in the non-atopic subgroup at the time of remission. We assessed the IgE levels when patients were in remission. However, only 61 of the 134 patients had data on serum IgE levels at the time of disease remission, including 12 patients in the atopic subgroup and 49 in the non-atopic subgroup. When we compared IgE levels between non-atopic <italic>vs.</italic> atopic subgroups at the time of remission, there was no significant difference between the two groups [145.0 (41.3&#x2013;435.0) <italic>vs.</italic> 166.0 (76.3&#x2013;501.5); <italic>P</italic> = 0.599]. Because there were many missing data on IgE levels at the time of remission, which was a limitation of retrospective studies, we did not include these data in the results. Further analysis of IgE levels at the time of MCD remission will be required in the prospective studies.</p>
<p>It&#x2019;s known that children and adults differed in the prognosis of MCD. In this cohort, there were 40 children patients with the ages ranging from 14.0-17.0 years old, which accounted for 18.0% of the 222 patients. And the age was recognized as a confounding factor and was included in our analysis. There was no difference in the proportion of children between the low- and high-IgE groups (17.9% <italic>vs.</italic> 22.4%, <italic>P</italic> = 0.518). Results showed that age was not an independent correlation factor for remission or relapse. Serum IgE levels were independent correlation factors for remission and relapse after adjusting for age and other covariates in the multivariate cox regression model.</p>
<p>In this cohort, 134 patients received glucocorticoids alone, and the remaining 88 patients received other regimens, of which 58 patients received glucocorticoids plus tacrolimus. However, the time of adding tacrolimus to these 58 patients was different due to the shortcomings of retrospective studies, resulting in inconsistent treatment regimens and difficulty in further comparative analysis. And the number of patients in other treatment groups were insufficient for comparative analysis. Therefore, these patients were not included for further analysis. And the 134 patients treated with glucocorticoids alone were included in the further analysis.</p>
<p>Previous studies indicated that the serum IgE levels might serve as a prognostic indicator for steroid responsiveness in MCD patients (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>). A 2015 study including 30 children with steroid-sensitive nephrotic syndrome reported that patients with normal IgE levels mostly responded in week 1 after steroid therapy, and patients with high serum IgE levels mostly responded to glucocorticoids in weeks 2 or 3 after therapy (<xref ref-type="bibr" rid="B23">23</xref>). Another study compared the clinical characteristics of INS patients with normal IgE and high IgE levels, and reported that the high-IgE group required a significantly longer time to remission, and was more susceptible to frequent relapse (<xref ref-type="bibr" rid="B18">18</xref>). In this study, a delayed remission and an early relapse for MCD patients in the high-IgE group was observed, indicating that the serum IgE levels were closely related to glucocorticoid responsiveness in MCD patients, which was consistent with previous studies.</p>
<p>Up to 85% of MCD patients will relapse within 5 years, although glucocorticoids are effective in treating most patients with first-onset MCD (<xref ref-type="bibr" rid="B24">24</xref>). In this study, the time to first relapse of MCD patients found in the high-IgE group was significantly shorter than that in the low-IgE group, consistent with other studies&#x2019; results (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>).And a higher percentage of MCD patients were steroid-dependent in the high-IgE group than that in the low-IgE group in this study, and more patients experienced frequent relapses in the high-IgE group, as well. A previous study reported that the mean serum IgE levels of pediatric MCD patients at the time of relapse in frequent-relapse group was more than 3 times higher than that in infrequent-relapse group (<xref ref-type="bibr" rid="B25">25</xref>). And the serum IgE level decreased to normal at the time of remission in infrequent-relapse group, but it was still high in frequent-relapse group, indicating a persistent immune disorder in the patients with high IgE levels (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>The IgE synthesis requires two signals: the first signal is transmitted by the cytokine interleukin (IL)-4 or IL-13 produced by type 2 helper T cells (Th2), and the second signal is transmitted by CD40 and CD40L activation (<xref ref-type="bibr" rid="B28">28</xref>). This indicates that the increase in serum IgE levels might be related to Th2 activation (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Some evidence suggests that the Th2 cytokine, IL-13, may play a potential regulatory role in MCD pathogenesis and high serum IgE levels: multiple reports have shown that serum IL-13 levels in MCD patients are elevated; IL-13 can regulate IgE production; and IL-13 can induce glomerular podocyte damage in animal models and caused MCD-like pathological changes (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Therefore, IL-13 may drive the onset of the nephrotic syndrome and the increase of serum IgE levels. Thus, IgE is expected to play a role in MCD diagnosis and prognosis evaluation.</p>
</sec>
<sec id="s5">
<title>5 Conclusions</title>
<p>This study investigated the correlation between serum IgE levels and the clinical efficacy of glucocorticoids in MCD. It demonstrated that serum IgE level was an independent correlation factor for MCD remission and relapse. MCD patients with high serum IgE levels were prone to delayed remissions and early relapses. These findings could lay the foundation for further studies on MCD pathogenesis and theranostics.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by The Clinical Research Ethics Committee of the First Affiliated Hospital, Zhejiang University School of Medicine. The ethics committee waived the requirement of written informed consent for participation</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>HL and LW contributed to the study design, data acquisition, statistical analysis, and manuscript writing. XL, WC, and YZ contributed to data analysis. JC contributed to commentary and revision of the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We sincerely thank all the patients and doctors participating in this study.</p>
</ack>
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