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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1658070</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Establishment of sensitive sandwich&#x2212;type chemiluminescence immunoassay for <italic>Aspergillus</italic> galactomannan antigen</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Junpu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1908985/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Guo</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>The Clinical Laboratory, Tianjin Chest Hospital</institution>, <addr-line>Tianjin</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Medical Ultrasound, Tianjin Medical University General Hospital</institution>, <addr-line>Tianjin</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/85287/overview">Christoph Gabler</ext-link>, Free University of Berlin, Germany</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2014353/overview">Ayse Kalkanci</ext-link>, Gazi University, T&#xfc;rkiye</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/831589/overview">Mona Ghazanfari</ext-link>, Mazandaran University of Medical Sciences, Iran</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Junpu Li, <email xlink:href="mailto:junpuli@163.com">junpuli@163.com</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>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1658070</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Li and Guo.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Li and Guo</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>Introduction</title>
<p>Invasive pulmonary aspergillosis (IPA) poses significant diagnostic challenges in immunocompromised patients, with galactomannan (GM) detection serving as a key biomarker. Existing Platelia&#x2122; GM enzyme-linked immunosorbent assay (ELISA) faces limitations in throughput and turnaround time.</p>
</sec>
<sec>
<title>Methods</title>
<p>We developed a magnetic bead-based chemiluminescent enzyme immunoassay (CLEIA) for GM detection in serum/bronchoalveolar lavage fluid (BALF).</p>
</sec>
<sec>
<title>Results</title>
<p>Optimized CLEIA parameters enabled 30-min analysis versus 120-min for ELISA. Validation with 241 clinical specimens demonstrated robust analytical performance: diagnostic thresholds of &#x2265; 0.20 CLEIA Units for serum and BALF matrices (ROC-AUC 0.87, p&lt;0.0001), analytical sensitivity of 0.50 ng/mL, and precision with &#x2264;14.40% total CV, and no hook effect &#x2264;200 ng/mL. Method comparison against the Platelia ELISA revealed 86.72% overall diagnostic agreement (Cohen&#x2019;s k=0.72), while cross-reactivity analyses indicated specificity limitations exclusively with <italic>Histoplasma</italic>-positive specimens, consistent with parallel GM ELISA results.</p>
</sec>
<sec>
<title>Discussion</title>
<p>This assay enables 75% processing time reduction with uncompromised diagnostic accuracy, positioning it as a high-throughput alternative for rapid IA screening in high-risk cohorts.</p>
</sec>
</abstract>
<kwd-group>
<kwd>galactomannan</kwd>
<kwd>immunoassay</kwd>
<kwd>chemiluminescent</kwd>
<kwd>serum</kwd>
<kwd>BALF</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="9"/>
<word-count count="4174"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Clinical and Diagnostic Microbiology and Immunology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>
<italic>Aspergillus</italic> spp. are widespread filamentous fungi that thrive in diverse environments, both in indoor and outdoor settings (<xref ref-type="bibr" rid="B14">Hajjeh and Warnock, 2001</xref>; <xref ref-type="bibr" rid="B12">Fr&#xf6;hlich-Nowoisky et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B3">Arastehfar et&#xa0;al., 2021</xref>). Invasive pulmonary aspergillosis (IPA) is a severe infection caused by the <italic>Aspergillus</italic> fungus, predominantly affecting immunocompromised individuals, including patients receiving immunosuppressive therapies, organ transplant recipients, or those with advanced HIV/AIDS. Unlike mild forms of aspergillosis, the invasive type can rapidly disseminate from the pulmonary system to other organs such as the brain, kidneys, and cardiovascular system, posing a significant threat to patient survival (<xref ref-type="bibr" rid="B4">WHO fungal priority pathogens list to guide research, development and public health action, 2022</xref>; <xref ref-type="bibr" rid="B8">Denning, 2024</xref>; <xref ref-type="bibr" rid="B26">Schwarz et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B15">Herrera et&#xa0;al., 2025</xref>). Diagnosing this condition remains challenging, necessitating a comprehensive evaluation that integrates patient risk factors, clinical and radiological findings, and mycological evidence (<xref ref-type="bibr" rid="B23">Ostrosky-Zeichner, 2012</xref>; <xref ref-type="bibr" rid="B10">Donnelly et&#xa0;al., 2020</xref>). Early identification enables prompt initiation of antifungal therapy, reducing the mortality associated with this disease (<xref ref-type="bibr" rid="B2">Ambasta et&#xa0;al., 2015</xref>). Given its rapid progression, reliable diagnostic methods are essential for effectively managing the infection in high-risk populations.</p>
<p>Galactomannan (GM), a major component of the <italic>Aspergillus</italic> mold cell wall, is shed during fungal growth. Therefore, detecting this compound in blood or BALF serves as a valuable tool for diagnosing IPA (<xref ref-type="bibr" rid="B21">Miceli and Kauffman, 2017</xref>; <xref ref-type="bibr" rid="B20">Mercier et&#xa0;al., 2018</xref>). Traditional reference method for detecting GM antigen has been the Platelia enzyme-linked immunosorbent assay (ELISA) developed by Bio-Rad (<xref ref-type="bibr" rid="B22">Moura et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B10">Donnelly et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B29">Terrero-Salcedo and Powers-Fletcher, 2020</xref>). Nevertheless, it is still useful to develop innovative detection schemes for diagnostics. This technique is labor-intensive and complex, prompting the development of more efficient alternatives. Among these, chemiluminescence immunoassay has emerged as a highly promising approach due to its advantages, including simplified procedures, highly quick detection, a broad analytical range, superior sensitivity and specificity (<xref ref-type="bibr" rid="B5">Buil et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B1">Albert et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B19">Lo Cascio et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B16">K&#x131;l&#x131;&#xe7; et&#xa0;al., 2025</xref>).</p>
<p>Here, we carried out the detection of <italic>Aspergillus</italic> GM antigen in serum and bronchoalveolar lavage fluid (BALF) samples using a sandwich chemiluminescence enzyme immunoassay (CLEIA). In this assay, the alkaline phosphatase (AP) was used as the signal marker, and magnetic beads (Mbs) were used as the solid carrier. The presence of target GM could cause a sandwiched immunoreaction between Mbs coated with GM polyclonal antibody (Mbs-Ab) and AP-labeled antibody (AP-Ab). The analytical parameters, which included the dilution ratio of Mbs-Ab, the concentration of AP-Ab, the incubation time, and the volume of APS solution were first optimized. Then, analytical performances such as the cutoff value, analytical sensitivity, high-dose hook effect, precision, interference, cross-reactivity, and method comparison were evaluated. Compared to existing GM CLEIA, our studies demonstrate that the CLEIA developed here offers distinct advantages: enhanced detection result stability (CV% &lt;15%) and significantly faster turnaround times (30min vs &gt;1h) (<xref ref-type="bibr" rid="B6">Calero et&#xa0;al., 2022</xref>).</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Reagents and instruments</title>
<p>The coating <italic>Aspergillus</italic> GM antibody was obtained from KeraFAST (Shanghai, China). The labeled <italic>Aspergillus</italic> GM antibody was acquired from ThermoFisher Scientific (Shanghai, China). GM antigen (purity, &gt;95%) stock was provided by our laboratory. The magnetic beads (1 &#x3bc;m diameter) and the desalting column were from Thermo Fisher Scientific (Shanghai, China). N-(3-(dimethylamino)propyl)-N&#x2019;-ethylcarbodiimide hydrochloride (EDC), N-hydroxysulfosuccinimide (NHS) and, 4-morpholineethanesulfonic acid (MES), bovine serum albumin (BSA) were purchased from Sigma-Aldrich (Shanghai, China). Alkaline phosphatase (AP) for labeling was purchased from Roche Diagnostics (Shanghai, China). APS-5 was bought by Lumigen (Michigan, USA). Other chemicals unless stated otherwise, were sourced from Solarbio (Beijing, China). All reagents were of analytical or higher grade. Ultrapure water (18.2 M&#x3a9;&#xb7;cm) was made by a Millipore Milli-Q system. Ultraviolet absorption spectra were acquired using a NanoDrop 2000c system (ThermoFisher Scientific). The automated chemiluminescence analyzer (DF200) was provided by Danda Biotech ((Beijing, China).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Sample collection</title>
<p>Between February 2024 and June 2025, we enrolled a total of 241 participants at Tianjin Chest Hospital. The cohort comprised 86 patients with probable IPA classified according to the 2020 EORTC/MSG Criteria (mycologic evidence based on positive Platelia ELISA results, <italic>Aspergillus</italic> PCR detection or positive culture result), 90 patients without evidence of IPA, and 88 healthy volunteers. Participants had a median age of 45 years (range 21&#x2013;86 years), with 108 (45%) being female. Medical records were available and reviewed for the 176 patients in the cohort (excluding healthy volunteers). Within this patient subgroup, clinical characteristics included underlying hematological malignancies in 58 patients (33%), solid organ transplantation in 35 patients (20%), ICU care requirement for various underlying diseases in 39 patients (22%), and a history of long-term corticosteroid or immunosuppressant use in most of the remaining patients. Patients meeting any of the following exclusion criteria were not included: 1) <italic>Aspergillus</italic> colonization or contamination; 2) Unavailability of required diagnostic markers. Based on recent CT scans, BALF was collected from targeted bronchial segments by instilling ~50 ml of room temperature saline, repeated 2&#x2013;3 times. The fluid was collected sterilely and sent for prompt analysis (within 30 minutes). Both BALF and serum samples were collected within 24 hours of patient admission and prior to antifungal treatment.  Of these samples, sera (n=131) and BALF (n=110) with sufficient volume remaining after routine clinical analyses were aliquoted and stored at -80 &#xb0;C for future use. Repeated freeze-thaw cycles were strictly avoided. The study protocol and all study-related procedures was approved by the Ethics Committee of Tianjin Chest Hospital (Grant No: 2023YS-019-1) and a waiver of informed consent was granted.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Preparation of anti&#x2212;GM antibodies coated with magnetic beads</title>
<p>GM antibody-functionalized MBs were prepared according to supplier provided protocols along with a laboratory-developed modification method. Briefly, 2 mg of Mbs were washed twice with deionized water using a magnetic separator. The carboxyl group on the surface of MBs were next activated in 1.0 mL of MES buffer solution (50 mM) containing 6 mg EDC and 4 mg NHS for 30min under a shaker. The activated MBs-COOH were purified via three MES buffer washes and resuspended in 0.5 mL of MES buffer. Following that, 100 &#x3bc;L of Ab (1 mg/mL) was added to the above suspension and allowed to react for 4h with gentle agitation, after which blocking was performed using 100 &#x3bc;L of BSA (10 mg/mL) for an additional 2h. Finally, the obtained MBs-Ab were washed, redispersed with 1 mL of PBS buffer containing 0.2 mg/mL BSA, and stored at 4&#xb0;C for next use. Mbs-Ab formation was tracked using the Bicinchoninic acid (BCA) protein quantification method and the lack of residual antibody in the coupling buffer supernatant validated bioconjugation.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Preparation of anti&#x2212;GM labeled antibodies&#x2212;alkaline phosphatase</title>
<p>The GM antibodies and AP were coupled using glutaraldehyde. Firstly, 2 mg of AP was dissolved in 0.5 mL of antibody solution (2 mg/mL), followed by dilution to a final volume of 2 mL with ultrapure water and thorough mixing. Then, 100 &#x3bc;L of 5% w/v glutaraldehyde solution was slowly added to the mixture under continuous stirring for 2h in dark. Lastly, the labeled antibody mixture was dialyzed in phosphate-buffered saline (PBS, pH 7.2) (0.2 M Na<sub>2</sub>HPO<sub>4</sub> and 0.2 M NaH<sub>2</sub>PO<sub>4</sub>) overnight and purified using desalting column. The resulting AP-conjugated GM antibody (AP-Ab) was mixed with an equivalent volume of glycerol, and stored at 4&#xb0;C. UV spectral analysis of AP-Ab showed a shift toward shorter wavelengths compared to AP and anti-GM, verifying AP-antibody conjugation and its potential for diagnostic use.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Immunoassay procedure for the detection of GM</title>
<p>As shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, GM antigen was detected by sandwich immunoassay as follows. Prior to testing, all samples, including the calibrator control (2.5 ng/mL <italic>Aspergillus</italic> GM in BSA solution), serum, and BALF specimens underwent a 3:1 (v/v) dilution in 4% EDTA-PBS, followed by thermal denaturation (120&#xb0;C, 5min) to eliminate protein interference. The treated samples were then centrifuged (10,000 &#xd7; g, 5min) to remove precipitates. Equal volumes of anti-GM-AP (50 &#x3bc;L) and anti-GM-Mbs (50 &#x3bc;L) were added to 100 &#x3bc;L the above supernatant in reaction tubs. The obtained mixture was vortexed, incubated at 37&#xb0;C for 20 mins, then subjected to three wash cycles via magnetic separation. Finally, the luminescent substrate solution (APS) was added to the sandwich Mbs-GM-AP immunocomplex, and the resulting chemiluminescent reaction was measured by the commercial chemiluminescence analyzer. The calculation of CLEIA Units was performed by dividing the chemiluminescent intensity of each sample by that of the calibrator control.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Schematic diagram of the detection process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1658070-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating a multi-step bioassay process. First panel shows GM antigen and anti-GM magnetic beads reacting. Second panel shows washing step, retaining beads with antigen. Third panel shows detection with anti-GM alkaline phosphatase, emitting a signal. Components labeled: GM antigen in red, anti-GM magnetic beads in blue, and anti-GM alkaline phosphatase in green.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Statistical analysis</title>
<p>Duplicate measurements were performed for all test samples. The experimental results were statistically analyzed with the GraphPad Prism 9 software. Receiver operating characteristic (ROC) analysis was performed to establish an optimal positivity threshold and assess the overall diagnostic performance of CLEIA. Qualitative agreement between CLEIA and ELISA was assessed by calculating observed agreement and Cohen&#x2019;s kappa statistic. Quantitative agreement was evaluated using Spearman&#x2019;s rank correlation between the GM indices derived from both assays. Median values were compared using the Mann-Whitney U test. Repeatability was evaluated by the coefficient of variation (CV). A two-sided <italic>p</italic> value of less than 0.05 was considered to be statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Result</title>
<sec id="s3_1">
<label>3.1</label>
<title>Optimization of experimental conditions</title>
<p>The detection performance of the assay was found to depend critically on four parameters: the dilution ratio of Mbs-Ab, the concentration of AP-Ab, the incubation time, and the volume of APS solution. To optimize the testing conditions, the signal-to-noise (S/N) ratios derived from the two calibrators with the GM concentration of 1.0 ng/mL and 0 ng/mL were analyzed through the developed assay.</p>
<p>Initially, a checkerboard titration experiment was performed involving Mbs-Ab and AP-Ab. If the quantity of antibody conjugates is too low, it will be insufficient to capture all the target analytes present in the sample. Conversely, an excessive amount of these conjugates can interfere with luminescence or cause high background noise due to nonspecific interactions between the signal probe and the capture probe. Both scenarios would negatively impact the signal-to-noise ratio. As indicated by <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>, the working parameters established were a 1:200 dilution for the Mbs-Ab and a concentration of 0.15 &#x3bc;g/mL for the AP-Ab.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The optimization of <bold>(A)</bold> Mbs-Ab dilution ratios and AP-Ab concentration, <bold>(B)</bold> incubation times for the formation of sandwich immunoconjugates, <bold>(C)</bold> and volume of APS solution. Error bars represent standard deviations of three repetitive experiments (n = 3).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1658070-g002.tif">
<alt-text content-type="machine-generated">Three graphs display the signal-to-noise (S/N) ratio analysis. A: Line graph showing S/N ratio vs. dilution ratio of MB-Ab for different concentrations of AP-Ab, peaking at 1:200. B: Incubation time graph indicating the S/N ratio peaking around twenty minutes. C: APS solution volume graph with S/N ratio peaking at two hundred microliters.</alt-text>
</graphic>
</fig>
<p>Second, the incubation time for the immunoreaction between the antigen and antibody was also investigated. Analysis of incubation time (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>) revealed an initial S/N ratio increase over the first 20min, stabilizing (or marginally declining) between 20 and 30min. The maximum S/N was attained at 20min, confirming immunoreaction equilibrium. Considering both the absence of further S/N gains and the potential for increased nonspecific adsorption during prolonged incubation, 20min was chosen as the optimal reaction time.</p>
<p>Beyond the aforementioned reaction conditions, substrate volume critically influences luminescent signal amplitude and analytical sensitivity. Based on the data in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref> showing a peak S/N ratio at 150 &#xb5;L, this volume of APS was standardized for all subsequent experimental procedures.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Determination of the cut&#x2212;off value</title>
<p>To determine cut-off values, 241 retrospective specimens (131 serum, 110 BALF) from 241individuals were evaluated under the above optimal conditions. Analysis of GM antigen levels (CLEIA Units) revealed a range of 0.01-26.74 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>), with statistically distinct clustering between positive and negative groups (<italic>p</italic>&lt;0.0001). ROC curve evaluation (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>) determined an optimal cutoff value of 0.20 CLEIA Units, yielding diagnostic sensitivities of 90.70% (95% CI, 82.70 to 95.21) and specificities of 85.16% (95% CI, 78.72 to 89.90).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Determination of the cutoff value of the CLEIA for GM detection through ROC. <bold>(A)</bold> CLEIA Units measured in a specimen panel classified as positive or negative by the 2020 EORTC/MSG Criteria. <bold>(B)</bold> ROC curve derived from this analysis. The dotted line represents the cutoff value of our method.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1658070-g003.tif">
<alt-text content-type="machine-generated">Panel A shows a scatter plot with CLEIA Units on the y-axis and Positive/Negative groups on the x-axis. Positive samples have higher units. Panel B presents a Receiver Operating Characteristic (ROC) curve with sensitivity on the y-axis and 100% minus specificity on the x-axis, illustrating high diagnostic accuracy.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Analytical sensitivity (C<sub>95</sub>)</title>
<p>To assess CLEIA analytical sensitivity, we prepared serum and BALF samples spiked with <italic>Aspergillus</italic> GM antigen (4.00 ng/mL) followed by eight serial 1:2 dilutions. Testing included 20 replicates per concentration level. The analytical sensitivity&#x2014;defined as the concentration achieving &#x2265;95% positive results&#x2014;was calculated to be 0.50 ng/mL for both matrices.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>High dose hook effect</title>
<p>In sandwich immunoassays, the hook effect represents a critical analytical artifact wherein excessive analyte concentrations saturate both solid-phase and labeled antibodies. This antibody saturation prevents complete formation of ternary immune complexes, generating false-negative results.</p>
<p>As presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, validation testing for hook effect revealed no false-negative CLEIA results in <italic>Aspergillus</italic> GM antigen-spiked human serum and BALF samples at concentrations up to 200 &#xb5;g/mL.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>High-Dose hook effect results for GM detection.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Specimen</th>
<th valign="middle" align="center">Sample concentration</th>
<th valign="middle" align="center">Mean CLEIA Units</th>
<th valign="middle" align="center">Result</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="5" align="center">BALF</td>
<td valign="middle" align="center">250 &#xb5;g/mL</td>
<td valign="middle" align="center">0.11</td>
<td valign="middle" align="center">Negative</td>
</tr>
<tr>
<td valign="middle" align="center">200 &#xb5;g/mL</td>
<td valign="middle" align="center">0.53</td>
<td valign="middle" align="center">Positive</td>
</tr>
<tr>
<td valign="middle" align="center">150 &#xb5;g/mL</td>
<td valign="middle" align="center">1.68</td>
<td valign="middle" align="center">Positive</td>
</tr>
<tr>
<td valign="middle" align="center">100 &#xb5;g/mL</td>
<td valign="middle" align="center">4.10</td>
<td valign="middle" align="center">Positive</td>
</tr>
<tr>
<td valign="middle" align="center">50 &#xb5;g/mL</td>
<td valign="middle" align="center">4.76</td>
<td valign="middle" align="center">Positive</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="center">Serum</td>
<td valign="middle" align="center">250 &#xb5;g/mL</td>
<td valign="middle" align="center">0.16</td>
<td valign="middle" align="center">Negative</td>
</tr>
<tr>
<td valign="middle" align="center">200 &#xb5;g/mL</td>
<td valign="middle" align="center">0.27</td>
<td valign="middle" align="center">Positive</td>
</tr>
<tr>
<td valign="middle" align="center">150 &#xb5;g/mL</td>
<td valign="middle" align="center">0.52</td>
<td valign="middle" align="center">Positive</td>
</tr>
<tr>
<td valign="middle" align="center">100 &#xb5;g/mL</td>
<td valign="middle" align="center">1.80</td>
<td valign="middle" align="center">Positive</td>
</tr>
<tr>
<td valign="middle" align="center">50 &#xb5;g/mL</td>
<td valign="middle" align="center">2.24</td>
<td valign="middle" align="center">Positive</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Precision</title>
<p>Precision on the CLEIA was evaluated using a specimen panel comprising 4 pooled patient serum samples (negative, low positive, positive, high positive) and 4 pooled patient BALF samples spiked with purified GM (negative, high negative, low positive, positive). Each sample underwent 30 replicate measurements: two operators performed three independent runs per day over five consecutive days. The following metrics were calculated from CLEIA Units results to evaluate precision: mean, standard deviation (SD), percent coefficient of variation (%CV), percentage of positive identifications (% Positive), and percentage of negative identifications (% Negative). Comprehensive results are documented in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, which indicated that the reproducibility and precision of this method are acceptable.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Coefficient variations of the CLEIA from spiked specimens.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Sample type</th>
<th valign="middle" align="center">Mean</th>
<th valign="middle" align="center">SD</th>
<th valign="middle" align="center">% CV</th>
<th valign="middle" align="center">% Positive</th>
<th valign="middle" align="center">% Negative</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">High Positive Serum</td>
<td valign="middle" align="center">8.77</td>
<td valign="middle" align="center">0.526</td>
<td valign="middle" align="center">4.86</td>
<td valign="middle" align="center">(30/30) 100%</td>
<td valign="middle" align="center">(0/30) 0%</td>
</tr>
<tr>
<td valign="middle" align="center">Positive BALF</td>
<td valign="middle" align="center">0.68</td>
<td valign="middle" align="center">0.050</td>
<td valign="middle" align="center">7.35</td>
<td valign="middle" align="center">(30/30) 100%</td>
<td valign="middle" align="center">(0/30) 0%</td>
</tr>
<tr>
<td valign="middle" align="center">Positive Serum</td>
<td valign="middle" align="center">0.90</td>
<td valign="middle" align="center">0.050</td>
<td valign="middle" align="center">5.56</td>
<td valign="middle" align="center">(30/30) 100%</td>
<td valign="middle" align="center">(0/30) 0%</td>
</tr>
<tr>
<td valign="middle" align="center">Low Positive BALF</td>
<td valign="middle" align="center">0.29</td>
<td valign="middle" align="center">0.057</td>
<td valign="middle" align="center">12.76</td>
<td valign="middle" align="center">(30/30) 100%</td>
<td valign="middle" align="center">(0/30) 0%</td>
</tr>
<tr>
<td valign="middle" align="center">Low Positive Serum</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.036</td>
<td valign="middle" align="center">14.40</td>
<td valign="middle" align="center">(29/30) 96.7%</td>
<td valign="middle" align="center">(1/30) 3.3%</td>
</tr>
<tr>
<td valign="middle" align="center">High Negative BALF</td>
<td valign="middle" align="center">0.17</td>
<td valign="middle" align="center">0.104</td>
<td valign="middle" align="center">Not Applicable</td>
<td valign="middle" align="center">(28/30) 93.3%</td>
<td valign="middle" align="center">(2/30) 6.7%</td>
</tr>
<tr>
<td valign="middle" align="center">Negative BALF</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">0.056</td>
<td valign="middle" align="center">Not Applicable</td>
<td valign="middle" align="center">(0/30) 0%</td>
<td valign="middle" align="center">(30/30) 100%</td>
</tr>
<tr>
<td valign="middle" align="center">Negative Serum</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">Not Applicable</td>
<td valign="middle" align="center">(0/30) 0%</td>
<td valign="middle" align="center">(30/30) 100%</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Interference and cross-reactivity</title>
<p>The influence of endogenous serum components known to cause matrix interference (hemoglobin, bilirubin, triglyceride) was investigated. Spiking experiments showed no measurable interference effect in the assay system. Concurrently, the potential for cross-reactivity of the CLEIA was also examined using a diverse set of patient serum samples collected from individuals with clinically relevant conditions. Results of cross-reactivity testing are compiled in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. A <italic>Histoplasma</italic> serum specimen was found positive by the present chemiluminescent immunoassay. Notably, the single <italic>Histoplasma</italic> cross-reactive serum specimen was also positive on another commercially available Platelia GM-ELISA, with a GM Index of 4.20, compared to 0.36 CLEIA Units on the CLEIA.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>The effect of potentially interfering medical conditions unrelated to IPA.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Pathogen</th>
<th valign="middle" align="center">Number of specimens</th>
<th valign="middle" align="center">% Positive</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Influenza A virus</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="left">0% (0/15)</td>
</tr>
<tr>
<td valign="middle" align="center">SARS-CoV-2</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="left">0% (0/12)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Mycoplasma</italic>
</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="left">0% (0/8)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Staphylococcus aureus</italic>
</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="left">0% (0/5)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Mycobacterium tuberculosis</italic>
</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="left">0% (0/10)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Blastomyces dermatitidis</italic>
</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="left">0% (0/5)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Candida albicans</italic>
</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="left">0% (0/5)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Cryptococcus neoformans</italic>
</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="left">0% (0/10)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Histoplasma capsulatum</italic>
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="left">16.7% (1/6)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Penicillium chrysogenum</italic>
</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="left">0% (0/10)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Fusarium solani</italic> sp<italic>ecies complex</italic>
</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="left">0% (0/3)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Scedosperium apiospermum</italic>
</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="left">0% (0/5)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Method comparison</title>
<p>A cohort of 241 specimens (86 cases, 155 controls) underwent parallel testing with both the FDA-approved Platelia GM ELISA test and the developed chemiluminescent immunoassay. Qualitative assessment between platforms showed high diagnostic concordance across sample cohorts: percent positive agreement = 71.68% (95% CI, 62.30&#x2013;79.56%<italic>)</italic>, percent negative agreement = 80.00% (95% CI, 72.79&#x2013;85.73%), and overall agreement = 86.72% (95% CI, 81.63&#x2013;90.61%). This corresponded to a Cohen&#x2019;s kappa statistic of 0.72 (95% CI, 0.64&#x2013;0.81), indicative of substantial agreement according to the Landis and Koch scale (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>) (<xref ref-type="bibr" rid="B17">Landis and Koch, 1977</xref>). The overall quantitative correlation between the GM index values calculated by the candidate CLEIA and the Platelia ELISA was moderate (Spearman&#x2019;s &#x3c1; = 0.48, <italic>P &lt;</italic>0.0001; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Significantly stronger agreement was observed in case-derived specimens (&#x3c1; = 0.75, P &lt; 0.0001; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), while control samples showed no statistically significant correlation (&#x3c1; = -0.05, <italic>P</italic>=0.50; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Concordance rate between CLEIA and Platelia ELISA.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">No. with <xref ref-type="table-fn" rid="fnT4_2">
<sup>b</sup>
</xref>CLEIA result of</th>
<th valign="middle" colspan="2" align="center">
<xref ref-type="table-fn" rid="fnT4_1">
<sup>a</sup>
</xref>Platelia ELISA</th>
<th valign="middle" rowspan="2" align="center">Total</th>
</tr>
<tr>
<th valign="middle" align="center">Positive</th>
<th valign="middle" align="center">Negative</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Positive</td>
<td valign="middle" align="center">81</td>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">101</td>
</tr>
<tr>
<td valign="middle" align="center">Negative</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">128</td>
<td valign="middle" align="center">140</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">93</td>
<td valign="middle" align="center">148</td>
<td valign="middle" align="center">241</td>
</tr>
<tr>
<td valign="middle" align="center">Positive agreement (%) (95% CI)</td>
<td valign="middle" colspan="3" align="right">71.68% (62.30&#x2013;79.56%)</td>
</tr>
<tr>
<td valign="middle" align="center">Negative agreement (%) (95% CI)</td>
<td valign="middle" colspan="3" align="right">80.00% (72.79&#x2013;85.73%)</td>
</tr>
<tr>
<td valign="middle" align="center">Overall agreement (%) (95% CI)</td>
<td valign="middle" colspan="3" align="right">86.72% (81.63&#x2013;90.61%)</td>
</tr>
<tr>
<td valign="middle" align="center">&#x3ba; (CI 95%)</td>
<td valign="middle" colspan="3" align="right">0.72 (0.64&#x2013;0.81)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT4_1">
<label>a</label>
<p>Platelia ELISA: positivity threshold, GM index &#x2265;1.0 in serum or BALF.</p>
</fn>
<fn id="fnT4_2">
<label>b</label>
<p>CLEIA: positivity threshold, GM CLEIA Units &#x2265; 0.2 in serum or BALF.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Correlation analysis of candidate CLEIA versus commercial Platelia ELISA kit. <bold>(A)</bold> All samples. <bold>(B)</bold> Cases only. <bold>(C)</bold> Controls only. The solid black line represents the linear regression fit; dot-dash lines indicate the 95% confidence bands.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1658070-g004.tif">
<alt-text content-type="machine-generated">Scatter plots comparing Platelia-GM and CLEIA-GM results. Panel A shows all samples with a positive correlation. Panel B depicts case samples with a similar trend. Panel C shows control samples with low correlation. Each plot includes a best-fit line with confidence intervals.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>We developed a rapid, high-sensitive and selective GM immunoassay leveraging magnetic separation technology and ALP-APS chemiluminescence. This platform demonstrates four key advancements over conventional methodologies. Firstly, antibody-functionalized magnetic beads ensure homogeneous antigen capture in solution, while integrated magnetic rod technology automates critical workflow steps including incubation and washing. This dual-approach eliminates manual intervention requirements characteristic of ELISA and lateral flow assays (LFA), enabling true high-throughput screening scalability (<xref ref-type="bibr" rid="B13">Gallet et&#xa0;al., 2021</xref>). Secondly, implementation of a streamlined single-incubation protocol reduces total analysis time to 30min (including a 20-min antigen-antibody binding phase) - representing a 75% reduction versus the 120-min Platelia GM gold standard, while maintaining equivalent diagnostic accuracy. Thirdly, photomultiplier-based quantification of amplified chemiluminescent signals provides significantly higher analytical sensitivity than spectrophotometric chromogen detection in ELISA. Clinical validation confirmed 9.30% greater diagnostic yield (78/86 vs.70/86 in clinically suspected specimens) without compromising specificity. Lastly, this assay demonstrates strong clinical utility, delivering timely and reliable results. Its capacity for single-sample processing makes it particularly suitable for urgent specimens, eliminating the need for batch testing or sample accumulation. Each independent test provides same-day results, optimizing workflow efficiency in critical care settings (<xref ref-type="bibr" rid="B6">Calero et&#xa0;al., 2022</xref>).</p>
<p>Detection of GM antigen, primarily using the Platelia ELISA, offers an alternative direct diagnostic method applicable to various samples, including BALF and serum. While initial performance studies of the Platelia ELISA suggested high sensitivity (70&#x2013;85%) (<xref ref-type="bibr" rid="B18">Leeflang et&#xa0;al., 2015</xref>), a recent work by Karl et&#xa0;al. reported significantly lower sensitivity&#x2014;53% in patients with hematologic malignancies and 33% in those without (<xref ref-type="bibr" rid="B9">Dichtl et&#xa0;al., 2019</xref>). Consequently, the author caution against relying solely on GM antigen testing for diagnosing IPA, particularly in non-hematologic populations. Although the CLEIA developed in this study demonstrated excellent qualitative agreement with the Platelia ELISA, further validation in larger cohorts of confirmed IPA patients is essential to robustly define its clinical sensitivity across diverse disease manifestations associated with <italic>Aspergillus</italic> infection.</p>
<p>CLEIA have gained attraction in recent years for their rapid results and automation. Literature reports GM CLEIA sensitivities ranging from 60% to 85% (<xref ref-type="bibr" rid="B6">Calero et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B5">Buil et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B25">Schub et&#xa0;al., 2024</xref>). In a study by Troncoso et&#xa0;al., the Platelia <italic>Aspergillus</italic> Ag ELISA was compared with an <italic>Aspergillus</italic> GM CLEIA assay. Both methods demonstrated 85.7% agreement in serum samples. The GM CLEIA showed approximately 16% higher sensitivity than the Platelia ELISA, whereas the latter exhibited 11% greater specificity (<xref ref-type="bibr" rid="B31">Troncoso et&#xa0;al., 2022</xref>). In our study, the higher sensitivity (90.70%) of GM CLEIA might be attributed to the smaller number of patients diagnosed with IPA. While the retrospective case-control design at a single center inherently limits generalizability (potentially explaining performance differences), robust validation awaits prospective multicenter studies.</p>
<p>In this study, we identified &#x2265;0.20 CLEIA Units as the optimal cutoff for positivity in both serum and BALF samples. However, reported diagnostic optical density index (ODI) cutoffs for GM ELISA vary considerably across studies and patient populations (<xref ref-type="bibr" rid="B2">Ambasta et&#xa0;al., 2015</xref>). Additionally, the absence of an established equivocal zone (&#x201c;grey zone&#x201d;) necessitates cautious interpretation of values near this cutoff. Specifically, such borderline results require supportive mycological, radiological, or clinical evidence of <italic>Aspergillus</italic> infection. Finally, since not all samples from confirmed cases yield positive results, definitive diagnosis demands comprehensive multidimensional assessment.</p>
<p>The commercial Platelia assay employs a single rat monoclonal antibody (EB-A2) targeting &#x3b2;-(1,5)-linked galactofuranoside side chains of GM (<xref ref-type="bibr" rid="B28">Stynen et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B27">Stynen et&#xa0;al., 1995</xref>). Due to structural similarities in &#x3b2;-glucans among fungi, this assay exhibits cross-reactivity with GM from other invasive fungi like <italic>Penicillium, Histoplasma capsulatum</italic>, and <italic>Candida</italic> sp<italic>ecies</italic> (<xref ref-type="bibr" rid="B7">Cummings et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B32">Wheat et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B30">Tortorano et&#xa0;al., 2012</xref>). In contrast, the newly developed GM CLEIA method incorporates two distinct antibody types, potentially enhancing specificity. However, because these antibodies likely recognize epitopes similar to EB-A2, cross-reactivity with GM from fungi such as <italic>Histoplasma capsulatum</italic> is still observed. Given the potential for false positives from various factors, extensive cross-reactivity studies remain essential for clinical validation of this new method.</p>
<p>Several limitations merit acknowledgment, most notably the sole inclusion of unique patients and lack of a clinical outcome-based correlation such as mortality or timing of antifungal initiation, restricting this detection method&#x2019;s current utility to clinical diagnosis. We did not assess GM antigen trends over time in serial patient samples&#x2013; though this represents an active focus of our current research. Consequently, we plan a comprehensive validation study in a larger, more diverse population, encompassing varying epidemiological contexts and timepoints from symptom onset. In addition, this study was performed with banked samples that were tested after they were stored and frozen, although it is unlikely that this had a relevant impact on test performance (<xref ref-type="bibr" rid="B24">Prattes et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B13">Gallet et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B11">Egger et&#xa0;al., 2022</xref>). Furthermore, we did not perform cost analysis or assess the economic feasibility of implementing CLEIA in routine diagnostics.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>Despite the limitations outlined here, our data support the use of the developed CLEIA as a viable alternative method for qualitative detection of GM antigen in serum and BALF. Full automation of the CLEIA system would render it considerably more applicable than the current implementation. This work provides valuable insights into the clinical applicability of CLEIA testing, paving the way for larger-scale validation studies required to substantiate these findings and improve their diagnostic reliability.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The study protocol and all study-related procedures was approved by the Ethics Committee of Tianjin Chest Hospital (Grant No: 2023YS-019-1) and a waiver of informed consent was granted.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>JL: Writing &#x2013; review &amp; editing, Project administration, Funding acquisition, Formal Analysis. YG: Conceptualization, Methodology, Writing &#x2013; original draft, Data curation.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This study was funded by the Tianjin Health Research Project with Grant No. TJWJ2023QN066 and Tianjin Key Medical Discipline Construction Project with Grant NO. TJYXZDXK-3-032C.</p>
</sec>
<sec id="s10" 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="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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