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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<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.2026.1745692</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Phosphoinositide 3-kinase &#x3b4; activity in patients with systemic lupus erythematosus</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Mirfazeli</surname><given-names>Elham Sadat</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Kharkar</surname><given-names>Shalmalee</given-names></name>
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<contrib contrib-type="author">
<name><surname>Tsang-A-Sjoe</surname><given-names>Michel W. P.</given-names></name>
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<name><surname>Papapietro</surname><given-names>Olivier</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="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Niewczas</surname><given-names>Izabella</given-names></name>
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<contrib contrib-type="author">
<name><surname>Parra Sanchez</surname><given-names>Agner R.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Chandra</surname><given-names>Anita</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author">
<name><surname>Okkenhaug</surname><given-names>Klaus</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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<contrib contrib-type="author">
<name><surname>Bultink</surname><given-names>Irene E. M.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Mebius</surname><given-names>Reina E.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Clark</surname><given-names>Jonathan</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Voskuyl</surname><given-names>Alexandre E.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Nejentsev</surname><given-names>Sergey</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="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Molecular Cell Biology and Immunology, Amsterdam UMC Location Vrije Universiteit Amsterdam</institution>, <city>Amsterdam</city>, <country country="nl">Netherlands</country></aff>
<aff id="aff2"><label>2</label><institution>Amsterdam Institute for Immunology and Infectious Diseases</institution>, <city>Amsterdam</city>, <country country="nl">Netherlands</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Rheumatology and Clinical Immunology Amsterdam UMC</institution>, <city>Amsterdam</city>,&#xa0;<country country="nl">Netherlands</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Medicine, University of Cambridge</institution>, <city>Cambridge</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<aff id="aff5"><label>5</label><institution>Babraham Institute</institution>, <city>Cambridge</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<aff id="aff6"><label>6</label><institution>Department of Clinical Immunology, Cambridge University Hospitals NHS Foundation Trust</institution>, <city>Cambridge</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<aff id="aff7"><label>7</label><institution>Department of Pathology, University of Cambridge</institution>, <city>Cambridge</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Sergey Nejentsev, <email xlink:href="mailto:sn262@medschl.cam.ac.uk">sn262@medschl.cam.ac.uk</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-17">
<day>17</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1745692</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>20</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Mirfazeli, Kharkar, Tsang-A-Sjoe, Papapietro, Niewczas, Parra Sanchez, Chandra, Okkenhaug, Bultink, Mebius, Clark, Voskuyl and Nejentsev.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Mirfazeli, Kharkar, Tsang-A-Sjoe, Papapietro, Niewczas, Parra Sanchez, Chandra, Okkenhaug, Bultink, Mebius, Clark, Voskuyl and Nejentsev</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-17">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>New biomarkers are needed for better stratification and personalized treatment of Systemic Lupus Erythematosus (SLE). Phosphoinositide 3-kinase &#x3b4; (PI3K&#x3b4;) has been implicated in SLE pathogenesis. Here, we investigated whether a subset of SLE patients has increased PI3K&#x3b4; activity after T cell activation.</p>
</sec>
<sec>
<title>Methods</title>
<p>T cells were isolated from frozen PBMCs of 108 SLE patients, 19 healthy controls, and one patient with Activated PI3K Delta syndrome (APDS), which provided a benchmark of increased PI3K&#x3b4; activity. After 90-minute anti-CD3/CD28 stimulation, phosphatidylinositol 3,4,5-trisphosphate (PIP3) and phosphatidylinositol 4,5-bisphosphate (PIP2) were measured using high-performance liquid chromatography-mass spectrometry.</p>
</sec>
<sec>
<title>Results</title>
<p>Higher levels of PIP3 (measured as the ratio of PIP3/PIP2) in stimulated T cells distinguished APDS patient from other subjects providing a useful biomarker of increased PI3K&#x3b4; activity. We observed no significant difference in T-cell PIP3 levels between SLE patients and healthy controls. However, a subset of SLE patients (n = 4) exhibited strong upregulation of PIP3 following T-cell stimulation, comparable to that observed in the APDS patient. PIP3 levels in stimulated T cells positively correlated with the frequency of CD4+ T cells and negatively correlated with the frequencies of CD8+, EMRA CD4+, and EMRA CD8+ T cells.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>We describe the range of variation of PI3K&#x3b4; activity in T cells from a large cohort of patients with SLE and from healthy subjects. Our findings suggest that increased PI3K&#x3b4; activity is not associated with SLE in general, although some SLE patients exhibit a particularly strong upregulation of PIP3 levels after T-cell stimulation. This subgroup of SLE patients warrants further investigation given the promising effect of PI3K&#x3b4; inhibitors in restoring normal immune regulation.</p>
</sec>
</abstract>
<kwd-group>
<kwd>APDS</kwd>
<kwd>autoimmunity</kwd>
<kwd>biomarker</kwd>
<kwd>PI3K&#x3b4;</kwd>
<kwd>PIP3</kwd>
<kwd>SLE</kwd>
<kwd>T cells</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was supported by grant funding from Pharming to S.N. Pharming did not participate in the study design or results interpretation. EM was supported by the H2020 MSCA-COFUND grant 847551. SN was supported by the ERC Advanced grant 832721 and grant funding from Pharming.</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="28"/>
<page-count count="7"/>
<word-count count="3697"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Systemic Lupus Erythematosus (SLE) is an autoimmune disease affecting over 3 million people globally. SLE significantly impacts patients&#x2019; life through chronic pain, fatigue, disability and dysfunction of vital organs imposing substantial physical, mental and socio-economic challenges on patients. SLE predominantly affects women, with over 90% of cases occurring in females, particularly during the child-bearing years. Disease etiology is complex resulting from interplay between environmental factors and genetic predispositions that trigger an aberrant autoimmune response (<xref ref-type="bibr" rid="B1">1</xref>). The clinical manifestations and severity of SLE are highly heterogeneous, complicating both treatment choices and the conduct of clinical trials. Therefore, there is a need to identify biomarkers that can aid in stratifying and managing SLE patients more effectively.</p>
<p>Phosphoinositide 3-kinases (PI3Ks) are lipid kinases that phosphorylate phosphoinositides at the 3-OH position. PI3Ks are grouped into three classes (I, II, and III) based on the subunit structure, substrate specificity, and final phosphoinositide products. PI3K&#x3b4;, a class I enzyme predominantly found in leukocytes, is activated by upstream receptor tyrosine kinases (RTKs), T-cell receptor (TCR), B-cell receptor (BCR), and cytokine receptors. PI3K&#x3b4; is the main signal transducer of PI3K signaling downstream of TCR in human T cells (<xref ref-type="bibr" rid="B2">2</xref>). PI3K&#x3b4; is a heterodimeric enzyme consisting of the catalytic subunit p110&#x3b4;, which most commonly assembles with the regulatory subunit p85&#x3b1;. Upon activation, PI3K&#x3b4; converts phosphatidylinositol 4,5-bisphosphate (PIP2) to phosphatidylinositol 3,4,5-trisphosphate (PIP3), an important second messenger that activates signaling pathways through AKT, TEC family kinases, and other PH domain proteins. These pathways in turn largely impact lymphocyte development, proliferation, metabolism, migration, and survival (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Enhanced PI3K&#x3b4; activity may contribute to the pathogenesis of SLE, as inhibition of the enzyme limits disease progression and improves survival in lupus mouse models. Heterozygous inactivation of the p110&#x3b4; gene exerts an inhibitory effect on immune compartments, reducing serum IgG anti-nuclear antibodies (ANA) levels, dampening T-cell activity and attenuating glomerulonephritis (<xref ref-type="bibr" rid="B4">4</xref>). Pharmacologic inhibition of p110&#x3b4; also decreased the production of proinflammatory cytokines and several lymphocyte populations, such as Th17 cells, CD3+CD4&#x2212;CD8&#x2212;B220+ cells, CD4+ effector memory T cells, as well as activated GL-7+IgG- germinal center (GC) B cells, IgG+ class-switched B cells, and plasma cells (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). It also reduces <italic>de novo</italic> and memory recall responses in lupus mouse models (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Overactivation of PI3K&#x3b4; can lead to autoimmune manifestations and lupus-like phenotypes in humans and mice. A well-studied example of this is Activated PI3K Delta Syndrome (APDS), which is an inborn error of immunity caused by activating mutations in the genes <italic>PIK3CD</italic> and <italic>PIK3R1</italic> encoding for PI3K&#x3b4; subunits p110&#x3b4; and p85&#x3b1; respectively (<xref ref-type="bibr" rid="B8">8</xref>) (<xref ref-type="bibr" rid="B9">9</xref>). APDS patients suffer from immunodeficiency and recurrent upper respiratory tract infections, but also 34% of patients showed signs of autoimmunity or inflammatory disease (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). The autoimmune features can resemble that of SLE patients to the level that at least 4 patients fulfilling ACR classification criteria for SLE turned out to have activating mutations in the <italic>PIK3CD</italic> gene (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>), which demonstrates that APDS can manifest with an SLE-like phenotype. Additionally, elevated levels of anti-nuclear antibodies (ANA) have been observed in the sera of mice with the activating mutation in the <italic>Pik3cd</italic> gene (<xref ref-type="bibr" rid="B14">14</xref>). PI3K&#x3b4; inhibition was shown to be effective in patients with APDS. Leniolisib, an oral small-molecule selective inhibitor of the PI3K&#x3b4; enzyme, has successfully improved immune dysregulation and immunodeficiency in APDS patients and was recently approved for treating APDS (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Given the evidence for the elevated PI3K&#x3b4; activity in SLE pathogenesis, PI3K&#x3b4; inhibitors may also be beneficial in treating patients with SLE. However, owing to the high heterogeneity of the disease, this effect may not be observed in all patients, highlighting the need to identify a subgroup of SLE patients with elevated PI3K&#x3b4; activity.</p>
<p>The activity of the PI3K&#x3b4; enzyme can be determined <italic>ex vivo</italic> in leukocytes by measuring PIP3 levels using high-performance liquid chromatography-mass spectrometry (HPLC-MS) or by measuring intracellular mediators of PIP3 signaling, such as phosphorylated proteins AKT (p-AKT) or S6 (p-S6), using western blotting or flow cytometry. The advantage of the HPLC-MS assay is that it provides a direct and quantitative measure of PIP3, the product of the PI3K&#x3b4; enzyme (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Here, we assessed the activity of the PI3K&#x3b4; enzyme by studying PIP3 levels using HPLC-MS in T cells isolated from a cohort of patients with SLE and healthy individuals. We also investigated the relationship between levels of PIP3 in T cells and the frequency of different T-lymphocyte subpopulations present in the blood of these subjects. We found no difference in the T-cell PIP3 levels between SLE patients and healthy controls. However, some of the SLE patients show particularly strong increase of PIP3 in response to T-cell stimulation comparable to that of the APDS patient.</p>
</sec>
<sec id="s2">
<title>Patients and methods</title>
<sec id="s2_1">
<title>Human samples and data</title>
<p>All SLE patients included in this study were diagnosed clinically and fulfilled the 1997 American College of Rheumatology revised criteria for the classification of SLE (<xref ref-type="bibr" rid="B18">18</xref>). Patients were treated at Amsterdam UMC hospitals and were 18 years of age or older upon the day of inclusion. The data collected from SLE patients included cumulative clinical disease manifestations, laboratory investigations (presence of anti-double-stranded DNA antibodies, anti-Smith antibodies, and anti-phospholipid antibodies), disease state, and current medication use. Due to the ongoing COVID-19 pandemic at the time of sample collection (between June 2020 and August 2021), physical assessment of the SLE patients and, therefore, measuring the disease activity was not feasible. Alternatively, the disease state was categorized as either stable or unstable. The stable disease state was defined as an acceptable level of disease activity that did not require changes in medication and was not preceded by a recent flare. Otherwise, SLE patients were classified as unstable. Controls were healthy adult volunteers. Demographic data collected from all study participants included gender, age, and ethnicity. Additionally, a blood sample was collected from an adult patient with the E81K mutation in the <italic>PIK3CD</italic> gene previously diagnosed with APDS. The study was approved by the VUmc Medical Ethics Committee (2020.169 (A2020.256)) and UK Local Research Ethics Committee (15/WS/0019). All participants signed informed consent for participating in the study.</p>
</sec>
<sec id="s2_2">
<title>T cell stimulation assay</title>
<p>PBMCs were isolated from blood samples using SepMate&#x2122; tubes (STEMCELL Technologies, Cat. No. 85450) according to the manufacturer&#x2019;s protocol. Isolated PBMCs were resuspended in 10% DMSO/FBS solution and stored in liquid nitrogen for long-term preservation. On the day of the experiment, PBMC samples were thawed in a water bath and added dropwise to 10% FBS/RPMI media. Defrosted PBMC samples were depleted of non-T cells using the Pan T Cell Isolation Kit (Miltenyi Biotec, Cat. No. 130-096-535). Briefly, PBMC samples were labeled with a cocktail of biotin-conjugated monoclonal antibodies against CD14, CD15, CD16, CD19, CD34, CD36, CD56, CD123, and CD235a (Glycophorin A), after which they were labelled with magnetic anti-biotin MicroBeads. The cell suspensions were then transferred to LS columns (Cat. No. 130-042-401, Miltenyi Biotec) in the magnetic field of a MACS separator (Miltenyi Biotec), and the non-labeled T cells were washed through and collected.</p>
<p>Isolated T cells were counted, and around 600,000 T cells were transferred to 2 ml Eppendorf tubes per condition to a final volume of 170 &#xb5;l. Samples were incubated at 37 &#xb0;C for 1 hour. Thereafter, samples either remained unstimulated or were stimulated using Dynabeads Human T-Activator CD3/CD28 beads (Thermo Fisher, Cat. No. 11131D) using a 1:1 cell-to-bead ratio. All samples were snap-frozen and stored in -70 &#xb0;C freezers at the end of the stimulation period for HPLC-MS.</p>
</sec>
<sec id="s2_3">
<title>Flow cytometry</title>
<p>The flow cytometry analysis of PBMCs of SLE patients and healthy controls was performed previously (Mirfazeli et&#xa0;al., submitted). Here we analyzed the following lymphocyte subsets: CD4+ and CD8+ T cells, CD3+CD45RA+CD27&#x2013; effector memory re-expressing CD45RA (EMRA) CD4+ and CD8+ T cells, CD3 +CD27+CD45RA+ na&#xef;ve CD4+ and CD8+ T cells, and CD3 +CD4+CXCR5+CD45RA&#x2013; circulating T follicular helper (cTfh) cells, CD19+IgD+CD27-CD38++CD24++ transitional B cells (TrB), CD19+IgD+CD27- na&#xef;ve B cells, CD19+CD27-IgD- double-negative (DN) B cells and CD19+IgD-CD27+CD38++ plasmablasts.</p>
</sec>
<sec id="s2_4">
<title>PIP3 and PIP2 quantification</title>
<p>Phosphoinositides were measured using high-performance liquid chromatography-mass spectrometry (HPLC-MS) (<xref ref-type="bibr" rid="B17">17</xref>). In brief, the samples were extracted using a modified Bligh and Dyer extraction followed by derivatization with TMS-diazomethane. The samples were then analyzed on a ABSciex QTRAP 4000 mass spectrometer as described previously (<xref ref-type="bibr" rid="B17">17</xref>).</p>
</sec>
<sec id="s2_5">
<title>Statistical analysis</title>
<p>All the statistical analyses and data plotting were done in GraphPad Prism v10.2.0 (GraphPad Software, Boston, Massachusetts, USA). Outlier identification was performed using the ROUT method (<xref ref-type="bibr" rid="B19">19</xref>) with an FDR (q) value set to 5%. Statistical significance was determined using Mann-Whitney U test. The correlation between normalized values of PIP3/PIP2 and the frequency of lymphocyte subpopulations was assessed using the non-parametric Spearman correlation test, and two-tailed P-values were reported. A simple linear regression model was used for curve fitting. P-values were corrected using Bonferroni correction.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patient and healthy donor characteristics</title>
<p>Blood samples were collected from 108 patients with SLE and 19 healthy individuals. Of the SLE patients, 90% were female, compared to 53% of the healthy controls, highlighting the well-documented skewness of SLE toward females in the population (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). The median age of the SLE patients was 49 years (interquartile range [IQR]: 38-56), while the median age of the healthy controls was 33 years (IQR: 28-43). Most individuals in both cohorts were of Caucasian descent. Detailed characteristics of the patients and healthy controls as well as the treatment regimen are provided in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. Additionally, we studied a blood sample from a 55-year-old male APDS patient. The patient did not receive PI3K&#x3b4; inhibitors prior to the blood sample collection.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic and clinical characteristics of SLE patients and healthy controls.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="left">
Patients with SLE
<break/>
(n=108)
</th>
<th valign="middle" align="left">
Healthy controls
<break/>
(n=19)
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="2" align="left">
Demographic features
</th>
<th valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" align="left">&#x2003;Gender</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Gender</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;&#x2003;Female</td>
<td valign="middle" align="left">98 (91%)</td>
<td valign="middle" align="left">10 (53%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;&#x2003;Male</td>
<td valign="middle" align="left">10 (9%)</td>
<td valign="middle" align="left">9 (47%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Age (years)</td>
<td valign="middle" align="left">49 (38-56)</td>
<td valign="middle" align="left">33 (28-43)</td>
</tr>
<tr>
<th valign="middle" align="left">&#x2003;Ethnicity</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;&#x2003;Caucasian</td>
<td valign="middle" align="left">81</td>
<td valign="middle" align="left">18</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;&#x2003;other</td>
<td valign="middle" align="left">27</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">
Disease characteristics
</th>
<th valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" align="left">&#x2003;Disease state</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;&#x2003;Stable</td>
<td valign="middle" align="left">85/99 (86%)</td>
<td valign="middle" align="left"><bold>&#x2013;</bold></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;&#x2003;Unstable</td>
<td valign="middle" align="left">14/99 (14%)</td>
<td valign="middle" align="left"><bold>&#x2013;</bold></td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">
SLE manifestations
</th>
<th valign="middle" align="left">&#x2013;</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Arthritis</td>
<td valign="middle" align="left">48/61 (79%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Serositis</td>
<td valign="middle" align="left">19/61 (31%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Nephrological manifestations</td>
<td valign="middle" align="left">28/59 (47%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Neurological manifestations</td>
<td valign="middle" align="left">3/61 (5%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Haematological manifestations</td>
<td valign="middle" align="left">56/61 (92%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Cutaneous manifestations</td>
<td valign="middle" align="left">60/61 (98%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Anti-dsDNA antibody</td>
<td valign="middle" align="left">52/61 (85%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Anti-Sm antibody</td>
<td valign="middle" align="left">12/61 (20%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Antiphospholipid antibodies (aPL)</td>
<td valign="middle" align="left">15/61 (25%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Current medication &#x2003;&#x2003;&#x2003;&#x2003;&#x2003;&#x2003;n=104</th>
<th valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No medication</td>
<td valign="middle" align="left">6 (6%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hydroxychloroquine (HCQ)</td>
<td valign="middle" align="left">81 (78%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Prednisone</td>
<td valign="middle" align="left">33 (32%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Methotrexate</td>
<td valign="middle" align="left">2 (2%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Mycophenolate mofetil</td>
<td valign="middle" align="left">15 (14%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Sulfasalazine</td>
<td valign="middle" align="left">8 (8%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Azathioprine</td>
<td valign="middle" align="left">19 (18%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Leflunomide</td>
<td valign="middle" align="left">3 (3%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Anti B cell monoclonal antibody therapy (rituximab or belimumab)</td>
<td valign="middle" align="left">2 + 8 (10%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No data</td>
<td valign="middle" align="left">2 (2%)</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are n (%) or median (interquartile range). Systemic lupus erythematosus (SLE) manifestations and treatments are shown as cumulative data based on the most recent information available. The disease state (stable or unstable) was determined by changes in medications and the incidence of flare-ups during clinical visits before and after blood collection. Note that some clinical data were not available for all patients, with n shown in the denominator in the fractions.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Optimizing the PI3K&#x3b4; stimulation assay</title>
<p>To determine the optimal stimulation time for measuring PI3K&#x3b4; activity, T cells were isolated from defrosted PBMCs of three different healthy donors (Sanquin Blood bank, Amsterdam, Netherlands) and stimulated for 2 min, 10 min, 30 min, 60 min, 90 min, 2 h, 3 h, and 24 h with anti-CD3/CD28 beads. At the end of each stimulation period, the samples were snap-frozen. PIP3 and PIP2 were measured using HPLC-MS as described previously (<xref ref-type="bibr" rid="B17">17</xref>). PIP3 levels were calculated as the ratio of PIP3/PIP2, which corrects for cell numbers and provides a more accurate measurement of PIP3. The results showed that PIP3 levels peaked at around 90 minutes &#x2013; 2 hours after stimulation and then decreased (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Therefore, we chose 90 minutes stimulation for the analysis in the samples of the whole cohort.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>PI3K&#x3b4; activation in T cells at different stimulation time-points. T cells were left unstimulated or were stimulated for 2 min, 10 min, 30 min, 60 min, 90 min, 2 h, 3 h, and 24 h in three different test samples, and PIP3/PIP2 was measured using HPLC-MS.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1745692-g001.tif">
<alt-text content-type="machine-generated">Bar graph showing PIP3 to PIP2 ratio measured at unstimulated, 2minutes, 10 minutes, 30 minutes, 60 minutes, 90 minutes, 2 hours, 3 hours, and 24hours after stimulation. Peak ratios occur at 90 minutes and 2 hours, then decrease. Error bars andindividual data points are displayed.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<title>Some SLE patients exhibit strong upregulation of PI3K&#x3b4; activity</title>
<p>To investigate the activity of the PI3K&#x3b4; enzyme, we measured PIP3 levels in isolated T cells without stimulation and after 90 minutes of stimulation with anti-CD3/CD28 beads and compared them between SLE patients, healthy controls and the APDS patient. Analysis of unstimulated samples showed only slightly increased PIP3 in the APDS patient and similar levels in SLE patients and controls (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2a</bold></xref>), indicating that baseline PIP3 levels in unstimulated samples alone are not useful as a biomarker of PI3K&#x3b4; activity. Stimulation for 90 minutes led to the increased PIP3 levels in all groups (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2a</bold></xref>). Analysis of stimulated cells showed that the APDS patient had higher PIP3 levels than SLE patients or healthy controls. We did not find significant difference in PIP3 levels between SLE patients and controls (P = 0.36), and the variation was similar in both groups (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2a</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Analysis of PIP3 levels in T cells in the cohorts of SLE patients and healthy controls <bold>(A)</bold> Scatter plot showing PIP3 levels (measured as PIP3/PIP2 ratio using HPLC-MS) in T cells isolated from the blood of SLE patients (n=108), healthy controls (n=19), and an APDS patient before and after 90 minutes of stimulation with anti-CD3/CD28 beads. <bold>(B)</bold> Fold change of PIP3/PIP2 in stimulated over unstimulated T cells; SLE patients (n=77), controls (n=17). Extreme data points in the SLE cohort (circled in red) were calculated using ROUT outlier identification method at FDR = 5%. Median values are indicated by horizontal lines.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1745692-g002.tif">
<alt-text content-type="machine-generated">Panel A shows dot plots of PIP3/PIP2 ratio for APDS, Control, andSLE groups before and after stimulation, each dot representing an individual sample and median marked with a horizontal line. Panel B displays the PIP3/PIP2 ratio (stimulatedover unstimulated) for the same groups, each dot representing an individual sample andmedian marked with a horizontal line.</alt-text>
</graphic></fig>
<p>We then studied PIP3 upregulation as the fold change in stimulated over unstimulated cells, a metric that shows how strongly cells respond to stimulation (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2b</bold></xref>). Again, we found that response to stimulation was strongest in the APDS patient. On average, SLE patients showed somewhat stronger response than controls, but the difference was not significant (P = 0.44).</p>
<p>Nevertheless, four SLE patients exhibited a higher fold-change increase in PIP3 from unstimulated to stimulated T cells (ROUT outlier identification method, FDR = 5%), which was comparable to that observed in the APDS patient (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2b</bold></xref>). The highest increase among SLE patients was found in a 25-year-old female with unstable disease and a history of nephritis. The other three SLE patients had stable disease and did not exhibit any remarkable features in their clinical data compared to those with average or low ratios. These results suggest that some SLE patients exhibit strong upregulation of PIP3 levels comparable to those observed in APDS patients.</p>
</sec>
<sec id="s3_4">
<title>PIP3 levels in stimulated T cells positively correlate with CD4+ T cell abundance</title>
<p>To study the role of PI3K&#x3b4; in different T-cell subsets, we investigated the relationship between PIP3 levels in stimulated T cells and the frequencies of T-cell subsets found in the blood of the same subjects, which we established previously (Mirfazeli et&#xa0;al., submitted). The results showed a significant positive correlation between normalized PIP3 levels in stimulated T cells and the frequency of CD4+ T cells in the blood (r = 0.43, P<sub>cor</sub> = 0.00005), while a negative correlation was found for the frequency of CD8+ T cells (r = -0.34, P<sub>cor</sub> = 0.00043). Similar results were found in SLE patients with both stable and unstable disease (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref>). We also observed negative correlations for the frequencies of CD3+CD45RA+CD27&#x2013; EMRA CD4+ T cells (r = -0.4, P<sub>cor</sub> = 0.00002) and EMRA CD8+ T cells (r = -0.4, P<sub>cor</sub> = 0.00003) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>), while no significant correlation was found for other T cell subsets, such as CD3+CD27+CD45RA+ na&#xef;ve CD4+ or CD8+ T cells or CD3+CD4+CXCR5+CD45RA&#x2013; circulating T follicular helper (cTfh) cells (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S2</bold></xref>). There was no significant correlation between normalized PIP3 levels measured in stimulated T cells and the frequencies of the B-cell subsets in the blood, including transitional B cells (TrB), na&#xef;ve B cells, double-negative (DN) B cells or plasmablasts (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S2</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Correlation between normalized PIP3 levels in stimulated T cells and the frequencies of T-cell subpopulations. SLE patients and healthy controls were combined for this analysis. Normalized PIP3 levels were calculated as log10(PIP3/PIP2*1000). Spearman correlation coefficients (r) are shown. P-values were calculated using Mann&#x2013;Whitney U test. The four SLE patients with extremely high PIP3 fold-change levels are highlighted in red. EMRA, effector memory cells that re-express CD45RA.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1745692-g003.tif">
<alt-text content-type="machine-generated">Four scatter plots display correlations between LOG10(PIP3/PIP2*1000) after ninety minutes of stimulation and proportions of T cell subsets, eachwith a trendline. CD4+ T cells show a positive correlation (r=0.43,p=0.000005). CD8+ and EMRA CD4+ T cells each show negative correlations (CD8+, r=-0.34, p=0.00043; EMRA CD4+, r=-0.40, p=0.00002). EMRA CD8+ T cells also show a negative correlation (r=-0.40, p=0.00003).</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>This is the first study to investigate PI3K&#x3b4; enzyme activity in a large cohort of SLE patients by measuring PIP3 levels in T cells. Here we used the HPLC-MS assay that allows direct PIP3 quantification (<xref ref-type="bibr" rid="B17">17</xref>). The inclusion of a patient with APDS, a disease known for its elevated PI3K&#x3b4; activity, provided a benchmark for assessing the increased activity of the enzyme in our study population.</p>
<p>We found that PIP3 levels measured in unstimulated T cells are not a reliable biomarker of increased PI3K&#x3b4; activity, as they do not differentiate the APDS patient from healthy controls. However, measuring PIP3 levels in stimulated T cells (after 90 minutes of stimulation) serves as an informative biomarker, which clearly distinguished the APDS patient. Similarly, the fold change of PIP3 levels in stimulated over unstimulated cells is also a suitable biomarker that provided additional information into the cells&#x2019; capacity to respond to stimulation and differentiated the APDS patient from healthy subjects.</p>
<p>Our results showed no difference in the PIP3 levels between the groups of SLE patients and healthy controls, suggesting that increased PI3K&#x3b4; activity in T cells is not generally associated with SLE. However, several SLE patients upregulated PIP3 levels after T-cell stimulation as strongly as the APDS patient. Previously, elevated PI3K&#x3b4; activity was reported in over half of SLE patients studied (<xref ref-type="bibr" rid="B20">20</xref>). This was determined using an <italic>in vitro</italic> kinase assay by assessing PIP3 production by PI3K&#x3b4; immunoprecipitated from lysed PBMCs, whereas we measured endogenous PIP3 production in T cells. Apart from the assay used, patients with active disease may have contributed to the higher frequency of elevated PI3K&#x3b4; activity observed in the study by Su&#xe1;rez-Fueyo et&#xa0;al. compared to our cohort.</p>
<p>In the present study, we found a strong correlation between normalized PIP3 levels in stimulated T cells and the frequencies of T-cell subtypes. In particular, PIP3 levels positively correlated with the frequency of CD4+ T cells and negatively correlated with the frequency of CD8+ T cells. This result is unlikely to be explained by the causative effect of PI3K&#x3b4; activity on the T-cell composition of the blood, given that in APDS patients hyperactivated PI3K&#x3b4; is known to lead to low CD4+ T cell counts and reduced ratio of CD4+/CD8+ T cells (<xref ref-type="bibr" rid="B8">8</xref>) (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). More likely, our results indicate that after anti-CD3/CD28 stimulation CD4+ T cells show higher PI3K&#x3b4; activity than CD8+ T cells. This is consistent with the observation that PI3K&#x3b4; inhibition has a stronger effect on the proliferation of CD4+ than CD8+ T cells (<xref ref-type="bibr" rid="B21">21</xref>). Previous studies have shown that PI3K&#x3b4; mediates activation and proliferation of CD4+ T cells (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>), which may explain its high activity in this cell type after stimulation. While the cytotoxic function of CD8+ T cells is also known to be regulated by PI3K&#x3b4; signaling (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>), CD8+ T cells become less dependent on PI3K&#x3b4; when they are differentiated into memory cells (<xref ref-type="bibr" rid="B27">27</xref>). Hence, the negative correlation between PIP3 levels and the frequency of CD8+ T cells in our data is likely to reflect lower PI3K&#x3b4; activity in CD8+ in comparison to CD4+ T cells. We also observed a negative correlation between PIP3 levels and the frequency of EMRA CD4+ and CD8+ T cells, suggesting that the presence of such T cells in the blood is associated with reduced PI3K&#x3b4; activity. EMRA T cells exhibit characteristics of replicative senescence and reduced proliferative capacity (<xref ref-type="bibr" rid="B28">28</xref>), which may be mediated by weakened PI3K&#x3b4; activation after stimulation. Overall, such intrinsic differences in PI3K&#x3b4; activity suggest that various T-cell subtypes will respond differentially to PI3K&#x3b4; inhibitors, which should be taken into consideration in the treatment regimens.</p>
<p>In conclusion, we show the distribution of basal and stimulated PIP3 levels in T cells from healthy subjects and a large cohort of patients with SLE measured for the first time using HPLC-MS and their correlation with T cell subsets. Overall, we found no differences in PI3K&#x3b4; activity between the groups of SLE patients and healthy controls. However, we identified individual SLE patients that showed a particularly strong upregulation of PIP3 levels after T-cell stimulation, comparable to that observed in the APDS patient. Given that PI3K&#x3b4; inhibitors can reduce responses to T-cell stimulation, this subgroup of SLE patients deserves further studies, as it may benefit from such a treatment.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p></sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the VUmc Medical Ethics Committee (2020.169 (A2020.256)) and UK Local Research Ethics Committee (15/WS/0019). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>EM: Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SK: Investigation, Writing &#x2013; review &amp; editing. MT-A-S: Data curation, Formal analysis, Writing &#x2013; review &amp; editing. OP: Investigation, Writing &#x2013; review &amp; editing. IN: Formal analysis, Investigation, Writing &#x2013; review &amp; editing. AP: Investigation, Writing &#x2013; review &amp; editing. AC: Investigation, Writing &#x2013; review &amp; editing. KO: Conceptualization, Writing &#x2013; review &amp; editing. IB: Data curation, Formal analysis, Writing &#x2013; review &amp; editing. RM: Formal analysis, Writing &#x2013; review &amp; editing. JC: Formal analysis, Writing &#x2013; review &amp; editing. AV: Formal analysis, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing. SN: Conceptualization, Formal analysis, Funding acquisition, Project administration, Resources, Supervision, Validation, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to extend their appreciation to Dr. Aiarpi Ezdoglian and Dr. Gerrit Jansen (Amsterdam University Medical Center) for their valuable advice on the T cell enrichment method. We would also like to thank Tanja Konijn, the late Kees Tuk, and our collaborators at the Rheumatology Center at VUmc hospital for their assistance with recruiting subjects and performing blood draws, as well as all the patients and healthy donors who volunteered for this study. We acknowledge the European Reference Network on Rare and Complex Connective Tissue Diseases (ERN ReCONNET) for declaring the Department of Rheumatology and Clinical Immunology of Amsterdam UMC as a member.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The authors SN, KO declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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="s11" 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>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2026.1745692/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2026.1745692/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2370738">Emanuele Bizzi</ext-link>, Vita-Salute San Raffaele University, Italy</p></fn>
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<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/633300">Kunihiko Moriya</ext-link>, National Defense Medical College, Japan</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1157923">Sojit Tomo</ext-link>, All India Institute of Medical Sciences Jodhpur, India</p></fn>
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