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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2022.871828</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>pcMSC Modulates Immune Dysregulation in Patients With COVID-19-Induced Refractory Acute Lung Injury</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Mei-Chuan</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="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lai</surname>
<given-names>Kevin Shu-Leung</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1723150"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chien</surname>
<given-names>Ko-Ling</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Teng</surname>
<given-names>Sing Teck</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Yuh-Rong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chao</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Meng-Jung</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wei</surname>
<given-names>Po-Li</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1141162"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Yen-Hua</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/155395"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kuo</surname>
<given-names>Han-Pin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1500393"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Weng</surname>
<given-names>Chih-Ming</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/829900"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chou</surname>
<given-names>Chun-Liang</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="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Division of Pulmonary Medicine, Department of Internal Medicine, Taipei Medical University Hospital</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Pulmonary Medicine Research Center, Taipei Medical University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Critical Care Medicine, Taipei Medical University Hospital</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Division of Colorectal Surgery, Department of Surgery, Taipei Medical University Hospital</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Surgery, College of Medicine, Taipei Medical University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Graduate Institute of Cancer Biology and Drug Discovery, Taipei Medical University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Biochemistry and Molecular Cell Biology, School of Medicine, College of Medicine, Taipei Medical University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>School of Respiratory therapy, College of Medicine, Taipei Medical University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Rabih Halwani, University of Sharjah, United Arab Emirates</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Ahmed Yaqinuddin, Alfaisal University, Saudi Arabia; Sayed Haidar Abbas Raza, Northwest A&amp;F University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Chih-Ming Weng, <email xlink:href="mailto:m109090013@tmu.edu.tw">m109090013@tmu.edu.tw</email>; Chun-Liang Chou, <email xlink:href="mailto:drchou1024@gmail.com">drchou1024@gmail.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>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Primary Immunodeficiencies, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>871828</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Chen, Lai, Chien, Teng, Lin, Chao, Lee, Wei, Huang, Kuo, Weng and Chou</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Chen, Lai, Chien, Teng, Lin, Chao, Lee, Wei, Huang, Kuo, Weng and Chou</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background and Objectives</title>
<p>The novel coronavirus disease 2019 (COVID-19) has been a pandemic health issue in 30 January 2020. The mortality rate is as high as 50% in critically ill patients. Stem cell therapy is effective for those who are refractory to standard treatments. However, the immune responses that underlie stem cell therapy have not been well reported, particularly, in patients associated with moderate to severe acute respiratory distress syndrome (ARDS).</p>
</sec>
<sec>
<title>Methods</title>
<p>On Days 0 and 4, an intravenous infusion of 2 &#xd7; 10<sup>7</sup> placenta-derived mesenchymal stem cells (pcMSCs) (MatriPlax) were administered to five severe COVID-19 patients refractory to current standard therapies. Peripheral blood inflammatory markers and immune profiles were determined by multi-parameter flow cytometry and studied at Days 0, 4, and 8. Clinical outcomes were also observed.</p>
</sec>
<sec>
<title>Results</title>
<p>None of the pc-MSC treated patients experienced 28-day mortality compared with the control group and showed a significant improvement in the PaO<sub>2</sub>/FiO<sub>2</sub> ratio, Murray&#x2019;s lung injury scores, reduction in serum ferritin, lactate dehydrogenase (LDH), and C-reactive protein (CRP) levels. The cytokine profiles also showed a reduction in IL-1&#x3b2;, IFN-&#x3b3;, IL-2, and IL-6, and an increase in IL-13 and IL-5 type 2 cytokines within 7 days of therapy. Lymphopenia was also significantly improved after 7 days of treatment. Immune cell profiles showed an increase in the proportions of CD4<sup>+</sup> T cells (namely, CD4<sup>+</sup> na&#xef;ve T cells and CD4<sup>+</sup> memory T cell subtypes), Treg cells, CD19<sup>+</sup> B cells (namely, CD19<sup>+</sup> na&#xef;ve B cells, CD27<sup>+</sup> switched B cell subtypes) and dendritic cells, and a significant decrease in the proportion of CD14<sup>+</sup> monocytes (namely, CD16<sup>-</sup> classical and CD16<sup>+</sup> non-classical subtypes), and plasma/plasmablast cells. No adverse effects were seen at the serial follow-up visits for 2 months after initial therapy.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>pc-MSCs therapy suppressed hyper-inflammatory states of the innate immune response to COVID-19 infection by increasing Treg cells, decreasing monocytes and plasma/plasmablast cells, and promoting CD4<sup>+</sup> T cells and CD19<sup>+</sup> B cells toward adaptive immune responses in severely critically ill COVID-19 patients with moderate to severe ARDS, especially those who were refractory to current standard care and immunosuppressive therapies.</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>mesenchymal stem cell</kwd>
<kwd>severe lung injury</kwd>
<kwd>immune response</kwd>
<kwd>Treg cells</kwd>
</kwd-group>
<contract-num rid="cn001">109-2314-B-038-097, 108-2314-B-038-134-MY2</contract-num>
<contract-sponsor id="cn001">Ministry of Science and Technology, Taiwan<named-content content-type="fundref-id">10.13039/501100004663</named-content>
</contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="13"/>
<word-count count="4932"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The novel coronavirus disease 2019 (COVID-19) has been a pandemic health issue since 30 January 2020 (<xref ref-type="bibr" rid="B1">1</xref>). Among those infected across the world, approximately 80% of the cases experienced mild disease. However, nearly 20% of infected patients progress to severe clinical courses, of which 5% are considered critical cases (<xref ref-type="bibr" rid="B2">2</xref>). In critically ill patients, mortality rates were superior to 50% (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). The severity of COVID-19 infection varies among individuals (<xref ref-type="bibr" rid="B5">5</xref>) and is attributed to differences in the magnitude of the dysregulated cytokine responses to viral infection (<xref ref-type="bibr" rid="B6">6</xref>). Immunomodulatory therapies, namely, dexamethasone (<xref ref-type="bibr" rid="B7">7</xref>), tocilizumab (<xref ref-type="bibr" rid="B8">8</xref>), and barcitinib (<xref ref-type="bibr" rid="B9">9</xref>) have been applied to restore immune dysregulation processes and are effective in reducing mortality in some severe COVID-19 patients. However, despite the administration of immunotherapies, COVID-19 could lead to high mortality rates among patients admitted to intensive care units (ICU) with severe respiratory failure (<xref ref-type="bibr" rid="B10">10</xref>). To date, many emerging inhibitors of specific inflammatory pathways have been proposed (<xref ref-type="bibr" rid="B1">1</xref>). However, most treatments are waiting to be validated in large-scale trials.</p>
<p>Mesenchymal stem cells (MSCs) are multipotent adult stem cells with variable magnitudes of proliferation and activity. They are derived from various tissues and organs, including placenta choriodecidual-membranes (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). The beneficial effects of MSCs in alleviating disease are attributed to their potential to modulate cytokine secretion, inflammatory cell migration, and immune function responses, and more specifically, their immunosuppressive properties against dendritic cells, NK cells, monocytes, macrophages, and T cells. Furthermore, this response is often associated with a concomitant increase in the regulatory T cell (Treg) fraction (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>For treating pulmonary diseases, MSCs present a notable strength due to their ability to be retained in the lungs for a period ranging from hours to days (<xref ref-type="bibr" rid="B13">13</xref>). The therapeutic effects of MSC-based therapies in ARDS have been described in several experimental and clinical studies, including COVID-19 (<xref ref-type="bibr" rid="B18">18</xref>). A MSC clinical trial in severe COVID-19 patients conducted in the United States demonstrated benefits in attenuating clinical severity and associated cytokine changes (<xref ref-type="bibr" rid="B19">19</xref>). The immunomodulatory effects of MSCs in one case of COVID pneumonia with mild ARDS have been previously studied in China (<xref ref-type="bibr" rid="B20">20</xref>). Recent studies have also revealed improved clinical outcomes with MSC therapy, with reported reductions in mortality and morbidity rates amongst COVID-19 patients (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>). However, little is known regarding the specific details of its immune-modulatory effect.</p>
<p>MSCs from placenta choriodecidual membranes (pcMSCs, Matriplax) consist of <italic>ex vivo</italic> culture-expanded human MSCs isolated from the placenta choriodecidual membranes of healthy adult mothers and have a high penetration capacity into lung tissue (<xref ref-type="bibr" rid="B12">12</xref>). pcMSCs suppress airway inflammation in asthmatic rats by increasing the number of Treg cells and are accompanied by a reduced presence of Th17 cells, macrophages, neutrophils, and eosinophils that infiltrate the lung. They have also been reported to improve survival and promote recovery in animal models with LPS-induced acute lung injury (ALI) (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Thus, treatment with pcMSCs is anticipated to be a feasible therapy for patients with severe or critically ill COVID-19. In this study, we evaluated the safety and clinical efficacy of pcMSC therapy in terms of lung injury scores, namely, the PaO2/FiO2 ratio, immune profiles, and serum inflammatory markers and cytokines in severe ARDS caused by COVID-19 pneumonia.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Subjects and Methods</title>
<p>This was an investigator-initiated academic compassionate trial conducted at the Taipei Medical University Hospital, Taipei, Taiwan.</p>
</sec>
<sec id="s2_2">
<title>Patient Enrollment</title>
<p>Patients who met the following criteria were recruited: 1) age 18&#x2013;90 years old; 2) laboratory confirmed COVID-19 infection by using a reverse transcriptase polymerase chain reaction (RT-PCR) assay from nasopharyngeal specimen; 3) severe COVID-19 pneumonia who meet Berlin&#x2019;s criteria of severe ARDS and/or shock requiring inotropes; and 4) persistent or deteriorating lung injury with hyper-inflammatory states despite use of dexamethasone and anti-IL-6 antibody, tocilizumab. The patients who were recruited in the study were not vaccinated at that time and were treated according to the local clinical practice protocol, which included 6 mg/day of dexamethasone for those classified as having severe illness and an additional 8 mg/kg of tocilizumab for steroid-refractory patients. Patients who were allergic to dimethyl sulfoxide (DMSO; a component of pcMSCs), recipients of previous stem cell therapy, or those with pre-existing terminal illness, in need of extracorporeal membrane oxygenation (ECMO), dialysis dependent, or with multiorgan failure status were excluded. According to local government law and legislation, five subjects were allowed to receive compassionate treatment with pcMSC. Nineteen compatible subjects hospitalized in the ICU wards for COVID-19 and severe lung injury with a Murray&#x2019;s lung injury score of &gt;1.7 were assigned to the control group.</p>
</sec>
<sec id="s2_3">
<title>Cell Preparation and Treatment Protocol</title>
<p>The detailed procedures for the preparation of the pcMSC are listed in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary File</bold>
</xref>. Subjects received two intravenous infusions of 200 &#xb1; 20 &#xd7; 10<sup>5</sup> pc-MSCs on Days 0 and 4. The patients were premedicated with antihistamines before each cell treatment. The clinical status of the patients was closely monitored after cell treatment and in serial follow-up for 2 months after therapy. The best standard of care was provided in both groups, following the current institutional COVID-19 guidelines.</p>
</sec>
<sec id="s2_4">
<title>Analysis of Viral Load by SARS-CoV-2 RT-PCR</title>
<p>The RealStar SARS-CoV-2 RT-PCR kit (Altona Diagnostics GmbH, Hamburg, Germany) was used to detect the SARS-CoV-2-specific E gene. The assay was performed following the instructions of the manufacturer, using nasopharyngeal swab samples collected from enrolled subjects on Day 0 and every 6 days until the cycle threshold (ct) &gt;30 was reached or a negative PCR was detected.</p>
</sec>
<sec id="s2_5">
<title>Analysis of Inflammatory Cytokines, Chemokines, and Immune Profiles in Peripheral Blood</title>
<p>The multiplex cytokine assay (Aimplex Biosciences, CA) was performed according to the instructions of the manufacturer to determine the levels of 18 inflammation-related proteins in serum of subjects treated with pc-MSC on Days 0, 4, and 8. Approximately 45 &#x3bc;l of serum from the pc-MSC treated subjects on Days 0, 4, and 8 was added to 96-well plates with beads labeled with specific antibodies for 18 inflammation-related proteins, namely, Interleukin (IL)-1&#x3b2;, IFN-&#x3b3;, TNF-&#x3b1;, IL-2, IL-6, IL-10, IL-13, IL-5, IL-4, IL-17A, IL-18, and IL-22. After incubation for 1 h, the bead complexes were washed and then a biotinylated detection antibody was added for 30 min, which was followed by avidin-PE. After washing, the complexes were analyzed by multiple parameter cytometry (ID7000, Sony Biotechnology, WA, USA).</p>
<p>Immune profiles were obtained from multiple parameter cytometry (ID7000) to determine the proportions of T cells, B cells, NK cells, monocytes, dendritic cells, and their subsets in the peripheral blood of subjects treated with pc-MSC on Days 0, 4, and 8 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). In summary, peripheral blood mononuclear cells (PBMC) were isolated from subjects treated with pc-MSC by density gradient centrifugation and stained with a specific antibody labeled with a fluorescent dye; the designed panel is shown in <xref ref-type="supplementary-material" rid="SM2">
<bold>Supplementary Table&#xa0;1</bold>
</xref>. After washing, the MFI of the sample was analyzed using the Sony ID7000.</p>
</sec>
<sec id="s2_6">
<title>Statistical Methods</title>
<p>Statistical analysis was conducted using Prism 9.0 (Graphpad Software, CA, USA). To examine whether the data were normally distributed, the Kolmogorov&#x2013;Smirnov test was used first. Comparisons of adverse effects, demographics, clinical characteristics, comorbidities, and concomitant treatments between the two groups were made using Fisher&#x2019;s exact test and Wilcoxon&#x2019;s two-sample tests for categorical and continuous variables, respectively. The Wilcoxon signed-rank test or Mann&#x2013;Whitney test was used to compare the continuous variables of the paired or unpaired groups that were non-normally distributed, respectively. Survival and survival in the absence of serious adverse events (SAE) (SAE-free survival) were estimated in each group with Kaplan&#x2013;Meier survival estimates. Log-rank tests were used to compare hazard ratios between groups.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Clinical Characteristics and Clinical Courses</title>
<p>From 14 May to 18 June 2021, subjects with severe refractory deteriorating COVID-19 pneumonia (n = 5), despite standard treatments, consented to receive compassionate pc-MSC treatment. Twenty-four subjects were hospitalized in the ICU for COVID-19-related pneumonia during this period. The demographics and baseline clinical conditions of these patients are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The predominance of male sex with younger age and a higher body mass index (BMI) was observed in the pc-MSC group. There were no significant differences in concomitant treatments, white blood cell count, lymphocyte count, and inflammatory markers between the two groups (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Three subjects (60%) in the pc-MSC group and 11 subjects (57.9%) in the control group received invasive mechanical ventilation, and 2 subjects (40%) in the MSC group and 8 (42.1%) in the control group received high flow oxygen therapy (FiO2 &gt;60%) <italic>via</italic> a high flow nasal cannula before starting treatment. A total of 9 deaths occurred in the control group on Day 28 after enrollment. There were no significant differences between the control and the pc-MSC group (MSC) in terms of the number of comorbidities, baseline hypoxemia, Murray lung injury scores, PaO2/FiO2 ratio, or length of stay in the ICU. Treatment with pc-MSC treatment achieved clinical improvement in terms of the PaO2/FiO2 ratio (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>) and Murray lung injury score (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>) with concomitant decreases in systemic hyper-inflammatory states, in terms of serum levels of ferritin, CRP, and LDH (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>) within 7 days of therapy. There were no significant changes in serum D-dimer levels with pc-MSC treatment (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). In contrast, 9 patients in the control group presented with progressive deterioration of the Murray lung injury score (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>) within 7 days of therapy. Treatment with pc-MSC also enhanced viral clearance (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>) and sustained survival compared to the control group (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographics and baseline clinical conditions of the treated patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Patient 1</th>
<th valign="top" align="center">Patient 2</th>
<th valign="top" align="center">Patient 3</th>
<th valign="top" align="center">Patient 4</th>
<th valign="top" align="center">Patient 5</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">46</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">F</td>
<td valign="top" align="center">F</td>
<td valign="top" align="center">M</td>
<td valign="top" align="center">M</td>
<td valign="top" align="center">M</td>
</tr>
<tr>
<td valign="top" align="left">Weight (kg)</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">70.6</td>
<td valign="top" align="center">83</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">114</td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">27.45</td>
<td valign="top" align="center">27.24</td>
<td valign="top" align="center">29.41</td>
<td valign="top" align="center">36.85</td>
<td valign="top" align="center">39.45</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center">NIL</td>
<td valign="top" align="center">NIL</td>
<td valign="top" align="center">NIL</td>
<td valign="top" align="center">6 pack-year</td>
<td valign="top" align="center">NIL</td>
</tr>
<tr>
<td valign="top" align="left">Comorbidities</td>
<td valign="top" align="center">Hypertension<break/>Dyslipidemia</td>
<td valign="top" align="center">Hypertension<break/>DM<break/>Breast cancer (post operation)<break/>Colon cancer (post operation)</td>
<td valign="top" align="center">NIL</td>
<td valign="top" align="center">Hypertension<break/>DM<break/>CABG</td>
<td valign="top" align="center">Hypertension<break/>DM</td>
</tr>
<tr>
<td valign="top" align="left">Clinical presentation</td>
<td valign="top" align="center">Fever, Dry cough</td>
<td valign="top" align="center">Cough</td>
<td valign="top" align="center">Fever, Cough</td>
<td valign="top" align="center">Fever</td>
<td valign="top" align="center">Cough, Breathlessness</td>
</tr>
<tr>
<td valign="top" align="left">Days from symptoms onset to admission</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Days from symptoms onset to ICU admission</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Days from admission to critical care transfer</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Days from admission to intubation</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">HFOT</td>
<td valign="top" align="center">HFOT</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Duration of MV used</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">HFOT</td>
<td valign="top" align="center">HFOT</td>
<td valign="top" align="center">16</td>
</tr>
<tr>
<td valign="top" align="left">Days of MV used after first infusion</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">HFOT</td>
<td valign="top" align="center">HFOT</td>
<td valign="top" align="center">13</td>
</tr>
<tr>
<td valign="top" align="left">SOFA score prior to infusion</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>F, female; M, male; DM, Diabetes Mellitus; CABG, Coronary Arterial Bypass Graft; MV: mechanical ventilation; HFOT, High flow oxygen therapy; BMI, Body mass index; ICU, intensive care unit.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Demographics and baseline characteristics of the pc-MSC treated and standard treatment group with serum inflammatory markers and clinical outcome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristics and treatments</th>
<th valign="top" align="center"> </th>
<th valign="top" align="center">pc-MSC treatment (n = 5)</th>
<th valign="top" align="center">Standard treatment (n = 19)</th>
<th valign="top" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years, mean (SD)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">55.4 &#xb1; 7.1</td>
<td valign="top" align="center">70.5 &#xb1; 2.2</td>
<td valign="top" align="center">0.012</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.24</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">3 (60%)</td>
<td valign="top" align="center">16 (84.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">2 (40%)</td>
<td valign="top" align="center">3 (15.7%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">PaO2/FiO2 ratio at enrollment, mean (IQR)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">108.7 &#xb1; 13.6</td>
<td valign="top" align="center">148.5 &#xb1; 15.3</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">Murray&#x2019;s lung injury score, n (%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.6</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Moderate-to-severe &gt;1 &lt;2</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">1 (5.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Severe&gt;2</td>
<td valign="top" align="center">5 (100%)</td>
<td valign="top" align="center">18 (94.73%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup>, mean (SD)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">32.0 &#xb1; 2.5</td>
<td valign="top" align="center">25.8 &#xb1; 1.4</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">Smoker (including former smoker), n (%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4 (21.0%)</td>
<td valign="top" align="center">0.54</td>
</tr>
<tr>
<td valign="top" align="left">Comorbidities, n (%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">4 (80%)</td>
<td valign="top" align="center">13 (68.4%)</td>
<td valign="top" align="center">0.93</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">DM</td>
<td valign="top" align="center">3 (60%)</td>
<td valign="top" align="center">5 (26.3%)</td>
<td valign="top" align="center">0.28</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">4 (80%)</td>
<td valign="top" align="center">7 (36.8%)</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Obesity (BMI &gt;30)</td>
<td valign="top" align="center">2 (40%)</td>
<td valign="top" align="center">5 (26.3%)</td>
<td valign="top" align="center">0.6</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Cancer</td>
<td valign="top" align="center">1 (20%)</td>
<td valign="top" align="center">1 (5.2%)</td>
<td valign="top" align="center">0.38</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Heart disease</td>
<td valign="top" align="center">1 (20%)</td>
<td valign="top" align="center">4 (21.0%)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">Concomitant treatments, n (%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">5 (100%)</td>
<td valign="top" align="center">19(100%)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Heparin, Therapeutic dose</td>
<td valign="top" align="center">5 (100%)</td>
<td valign="top" align="center">16 (84.2%)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Remdesivir</td>
<td valign="top" align="center">5 (100%)</td>
<td valign="top" align="center">3 (15.8%)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Corticosteriods</td>
<td valign="top" align="center">5 (100%)</td>
<td valign="top" align="center">19 (100%)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Tocilizumab</td>
<td valign="top" align="center">5 (100%)</td>
<td valign="top" align="center">19 (100%)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">Intubation at enrollment</td>
<td valign="top" align="left"/>
<td valign="top" align="center">3 (60%)</td>
<td valign="top" align="center">11 (57.9)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">Mortality, n (%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">8 (42.1%)</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">At the time of enrollment</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">WBC (&#xd7;1,000/&#x3bc;l)</td>
<td valign="top" align="left"/>
<td valign="top" align="char" char="&#xb1;">12.25 &#xb1; 3.22</td>
<td valign="top" align="char" char="&#xb1;">7.71 &#xb1; 0.89</td>
<td valign="top" align="center">0.065</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocytes (&#xd7;1,000/&#x3bc;l)</td>
<td valign="top" align="left"/>
<td valign="top" align="char" char="&#xb1;">8.84 &#xb1; 3.46</td>
<td valign="top" align="char" char="&#xb1;">11.92 &#xb1; 2.12</td>
<td valign="top" align="center">0.501</td>
</tr>
<tr>
<td valign="top" align="left">CRP (mg/dl)</td>
<td valign="top" align="left"/>
<td valign="top" align="char" char="&#xb1;">6.6 &#xb1; 2.74</td>
<td valign="top" align="char" char="&#xb1;">8.17 &#xb1; 1.39</td>
<td valign="top" align="center">0.613</td>
</tr>
<tr>
<td valign="top" align="left">Ferritin (ng/ml)</td>
<td valign="top" align="left"/>
<td valign="top" align="char" char="&#xb1;">2345 &#xb1; 441.9</td>
<td valign="top" align="char" char="&#xb1;">2423 &#xb1; 449</td>
<td valign="top" align="center">0.933</td>
</tr>
<tr>
<td valign="top" align="left">D-Dimer (ug/ml)</td>
<td valign="top" align="left"/>
<td valign="top" align="char" char="&#xb1;">5.77 &#xb1; 4.58</td>
<td valign="top" align="char" char="&#xb1;">3.61 &#xb1; 1.47</td>
<td valign="top" align="center">0.561</td>
</tr>
<tr>
<td valign="top" align="left">Procalcitonin (ng/ml)</td>
<td valign="top" align="left"/>
<td valign="top" align="char" char="&#xb1;">0.39 &#xb1; 0.27</td>
<td valign="top" align="char" char="&#xb1;">0.57 &#xb1; 0.26</td>
<td valign="top" align="center">0.746</td>
</tr>
<tr>
<td valign="top" align="left">LDH (U/L)</td>
<td valign="top" align="left"/>
<td valign="top" align="char" char="&#xb1;">679.2 &#xb1; 84.06</td>
<td valign="top" align="char" char="&#xb1;">569.9 &#xb1; 37.41</td>
<td valign="top" align="center">0.209</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>WBC, white blood cells; LDH, Lactate Dehydrogenase; CRP, C-reactive protein.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Clinical characteristics and clinical outcomes of patient with COVID-19. <bold>(A)</bold> PaO<sub>2</sub>/FiO<sub>2</sub> ratio at Day 0 (before treatment), Day 4 (after the first treatment with MSC), and Day 8 (after second treatment with MSC) in five treated patients. <bold>(B)</bold> Murray&#x2019;s lung injury score was shown before and after treatment; timing of after was adjusted as one week after recruitment. <bold>(C)</bold> Serum proinflammatory markers, derritin, LDH, CRP, and D-dimer on Days 0, 4, and 8 after pcMSCs therapy of five treated patients. The P value was as indicated. Nonparametric Wilcoxon sign-rank test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-871828-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Clinical characteristics of COVID-19 patient with standard or MSC treatment. <bold>(A)</bold> Murray&#x2019;s lung injury score of standard treatment and MSC treatment group was shown as before and after treatment; timing of after was adjusted as one week after recruitment. <bold>(B)</bold> Duration of viral clearance by detecting viral COVID molecular testing by PCR in control and MSC treated group. <bold>(C)</bold> Survival analysis of control and MSC treated group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-871828-g002.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Analysis of Immune Profiles, Inflammatory Cytokines, and Chemokines Levels in Peripheral Blood</title>
<p>The multiplex cytokine assay showed that the plasma levels of IL-6 and IL-2 significantly decreased on Day 4, and IL-1&#x3b2; and IFN-&#x3b3; decreased significantly on Day 8 of pc-MSCs treatment (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). There was no significant change in plasma levels of IL-17A (not shown), TNF&#x3b1;, IL-18 (not shown), or IL-22 (not shown). There was also a significant increase in type 2 cytokines, IL-5 and IL-13, after pc-MSC treatment (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). IL-10, a known inhibitory cytokine, was shown to have a trend of decreasing after pc-MSC treatment.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The proinflammatory markers in the peripheral blood. IL-10 and type 2 cytokines changes of 5 treated patients in Days 0, 4 and 8 after pcMSCs therapy. The P value was as indicated. Nonparametric Wilcoxon sign-rank test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-871828-g003.tif"/>
</fig>
<p>Peripheral blood samples from patients with the pc-MSC treatment group were analyzed by high-dimensional flow cytometry and the immune cell cluster was visualized using t-Distributed Stochastic Neighbor Embedding (t-SNE) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2A</bold>
</xref>). Its distribution was also checked after treatment and showed a significant increase in the proportions of Treg and B cells with a concomitant reduction in the proportions of plasma/plasmablast cells and monocytes (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2B</bold>
</xref>).</p>
<p>Patients in the pc-MSC treatment group had lower absolute lymphocyte counts in the peripheral blood (667.1 + 137.1/&#x3bc;l, n&#xa0;= 5) compared with healthy controls (1,798.6 + 145.2/&#x3bc;l, n = 5, P &lt;0.01). Absolute lymphocyte counts increased after pc-MSC treatment (1,161 + 180.7/&#x3bc;l, P &lt;0.05, n = 5) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). There were no significant changes in the proportions of CD4<sup>+</sup> T cells, CD8<sup>+</sup> T cells, or natural killer (NKT) cells compared with healthy controls after pcMSC therapy (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). A heat map was created to show the changes in the proportion of the T cell subpopulation before and after treatment. Patients initially had lower counts of CD4<sup>+</sup> T and CD8<sup>+</sup> T cells (321.7&#xa0;&#xb1; 80.1/&#x3bc;l, and 160.4 &#xb1; 44.5/&#x3bc;l, respectively, n = 5) compared with healthy controls (813.5 &#xb1; 76.5/&#x3bc;l and 296.5 &#xb1; 53.1/&#x3bc;l, respectively, n = 5, P &lt;0.05) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>). Treatment with pc-MSC significantly increased the absolute cell number of total CD4<sup>+</sup> T cells (655.5 &#xb1; 163.6/&#x3bc;l, n = 5, P &lt;0.05) and the subpopulations of CD4<sup>+</sup> na&#xef;ve T cells and CD4<sup>+</sup> memory T cells (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>), but not absolute cell number of total CD8<sup>+</sup> T cells (269.2 &#xb1; 121.7/&#x3bc;l, n = 5) or its subpopulations (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>). Treg cells proportions (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>) and absolute counts (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>) increased significantly. NKT cells did not change significantly with pc-MSC treatment (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Changes in T cells and sub-populations after pcMSC treatment. <bold>(A)</bold> Total lymphocyte count changes after Days 0, 4, and 8 of treatment. <bold>(B)</bold> The proportions of CD4, CD8, NKT, and Treg cells before and after treatment, compared with normal healthy individuals. <bold>(C)</bold> Distribution of T cells subpopulations was shown in the heat map. <bold>(D)</bold> The absolute cell number of total CD4<sup>+</sup> T cell, na&#xef;ve CD4<sup>+</sup> T cell, and CD4<sup>+</sup> memory cell increased after treatment. <bold>(E)</bold> No change in absolute cell number of CD8<sup>+</sup> T cell, CD8<sup>+</sup> Na&#xef;ve T cell, or CD8<sup>+</sup> memory T cell. <bold>(F)</bold> The absolute cell number of Treg cells was significantly increased after Day 8 of treatment. The P value was as indicated. Nonparametric Wilcoxon sign-rank test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-871828-g004.tif"/>
</fig>
<p>Patients initially had a higher proportion of IgM<sup>+</sup> memory B cells and CD27<sup>+</sup>CD38<sup>+</sup> plasma/plasmablast cells in their peripheral blood, compared to healthy controls (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). Treatment with pcMSC treatment significantly suppressed the proportion and absolute number of plasma/plasmablast cells with CD27<sup>+</sup>CD38<sup>+</sup> (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, B</bold>
</xref>), and significantly increased the absolute number of CD19<sup>+</sup> B cells, CD19<sup>+</sup> na&#xef;ve B cells, and increased the proportion and the absolute number of activated B cells switched to CD27+ (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). Treatment with pcMSC treatment did not change the proportion of IgM<sup>+</sup> memory B cells.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Changes of B cell populations after pcMSC treatment. <bold>(A)</bold> High proportion of IgM<sup>+</sup> switched memory B cells and CD27<sup>+</sup>CD38<sup>+</sup> plasma/plasmablast cells in the peripheral blood, compared to healthy controls, before and after treatment. Treatment with pcMSCs increased the proportions of CD27<sup>+</sup> switched activated B cell and decreased proportion of plasma/plasmablast cells. <bold>(B)</bold> The absolute number of B cells, CD19<sup>+</sup> total B cell count, CD19<sup>+</sup> Na&#xef;ve B cells count, and CD27<sup>+</sup> switched B cell were significantly increased after D4 and D8 of treatment. The absolute number of Plasma/Plasmablast cell was significantly reduced after Day 8 of treatment. The P value was as indicated. Nonparametric Wilcoxon sign-rank test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-871828-g005.tif"/>
</fig>
<p>The proportions of CD14<sup>+</sup>, CD14<sup>+</sup>CD16<sup>+</sup>, or CD14<sup>+</sup>CD16<sup>&#x2212;</sup> monocyte subpopulations were not significantly different between patients and healthy controls (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). Treatment with pcMSC significantly decreased the proportion of CD14<sup>+</sup> and CD14<sup>+</sup>CD16<sup>&#x2212;</sup> subpopulations and achieved a significantly lower proportion of CD14<sup>+</sup>CD16<sup>+</sup> subpopulations compared with healthy controls (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). The absolute number of CD14<sup>+</sup> monocytes and their subpopulations, CD14<sup>+</sup>CD16<sup>&#x2212;</sup> and CD14<sup>+</sup>CD16<sup>+</sup> were significantly decreased after pcMSC treatment (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The changes of monocyte and NK cell population after pcMSC treatment. <bold>(A)</bold> The proportion and <bold>(B)</bold> the absolute number of total monocytes, classical monocytes, and non-classical monocytes were reduced after treatment. <bold>(C)</bold> The proportions of dendritic cells, NKT cells, and subpopulations were not significantly changed after treatment, compared with corresponding healthy controls. <bold>(D)</bold> The absolute number of dendritic cells, but not NK cells, or subpopulations, increased after Day 8 of treatment. *P &lt;0.05 and **P &lt;0.01, nonparametric Wilcoxon sign-rank test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-871828-g006.tif"/>
</fig>
<p>There was no significant change in the proportion of stage 4, stage 5&#x2013;6 NK cells, or dendritic cells (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). pcMSC treatment only significantly increased the absolute number of dendritic cells (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>Adverse Events</title>
<p>No SAEs were observed in the pc-MSC group after an 8-week follow-up.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In this study, we showed that pcMSC treatment was safe and effective in patients with severe COVID-19 who developed ARDS. Nine of the 19 patients in the control group died by day 30, indicating a 47% mortality at our institution, which was consistent with the reported mortality rate of ~50% of critically ill COVID-19 patients (<xref ref-type="bibr" rid="B10">10</xref>), while none of the patients treated with pc-MSC died on day 28. It is interesting to note that 2 of the 5-treated patients did not require mechanical ventilation. These patients had identified risk factors for respiratory failure in severe COVID-19, such as higher BMI and a poor PaO2/FiO2 ratio.</p>
<p>All patients had elevated blood inflammatory markers, namely, CRP, D-dimer, LDH, and ferritin, as previously reported (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>), although the patients had received dexamethasone and tocilizumab as anti-inflammatory treatments. Treatment with pc-MSC suppressed the hyper-inflammatory state with markedly reduced ferritin, LDH, and CRP levels after 7 days.</p>
<p>SARS-CoV-2 RNAs act as pathogen-associated molecular patterns, detecting toll-like receptors, triggering downstream cascades in innate immune cells, resulting in the production of pro-inflammatory cytokines, such as IL-1&#x3b2;, IL-6, and IFN-&#x3b3; that induce the synthesis of several liver defense proteins, namely, CRP, LDH, and ferritin (<xref ref-type="bibr" rid="B28">28</xref>). These multifunctional peptides, especially LDH and ferritin levels, are independent factors in predicting disease severity and mortality (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Ferritin, through NF-&#x3ba;B (<xref ref-type="bibr" rid="B31">31</xref>) creates a vicious loop by further increasing the production of pro-inflammatory cytokines, IL-1&#x3b2;, IL-6, and IFN-&#x3b3;, contributing to the development of a cytokine storm syndrome (CSS). The reduction in serum ferritin levels after pcMSC treatment was associated with a reduction in IL-1&#x3b2;, IL-6, and IFN-&#x3b3; serum levels, suggesting that pcMSC effectively broke the vicious cycle and attenuated the cytokine storm syndrome, resulting in a significant attenuation of the severity of COVID-19 pneumonia in terms of Murray&#x2019;s lung injury scores.</p>
<p>MSC therapy offers a promising treatment option for severe lung diseases caused by autoimmune, sepsis, and COVID-19 infection (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). The underlying cellular and molecular mechanisms of MSC-mediated immunomodulation, although still elusive, are proposed to act <italic>via</italic> a synergy of cell contact-dependent mechanisms and soluble factors (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B32">32</xref>), <italic>via</italic> cytokine-dependent and cytokine-independent functional changes of monocytes/macrophages, dendritic cells, T cells, B cells, and NKT cells (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Peripheral blood immune profiles with tSNE cell clusters revealed a significant change in monocytes, Th cells, B cells, Treg cells, and plasma/plasmablast cell subpopulations after pc-MSC treatment.</p>
<p>Monocytes and macrophages, being the most important innate immune cells, respond mainly to SARS-CoV-2 infections by producing pro-inflammatory mediators through ACE2-independent and ACE2-dependent pathways to remove pathogens and repair tissue injury. However, dysregulation of their functions can cause acute respiratory distress syndrome and cause damage to other vital organs, including the heart (<xref ref-type="bibr" rid="B34">34</xref>). During SARS-CoV-2 infection, the subpopulation of circulating CD14<sup>+</sup>CD16<sup>+</sup> monocytes exhibits a notable contribution to the development of cytokine storms, orchestrating a high level of TNF-&#x3b1;, IL-10, and IL-6 production, which is ultimately related to clinical deterioration and thus, increases the likelihood of admission to the ICU (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B35">35</xref>). The decrease in the absolute number of subpopulations CD14<sup>+</sup> CD16<sup>+</sup> may be attributed to the attenuation of hyper-inflammation responses in the pcMSC treatment group.</p>
<p>In severe COVID-19, lymphopenia (absolute counts &lt;1,000 cells/&#x3bc;l) is considered an indicator of disease severity (<xref ref-type="bibr" rid="B36">36</xref>), therapeutic response (<xref ref-type="bibr" rid="B37">37</xref>), and disease outcome (<xref ref-type="bibr" rid="B38">38</xref>). High levels of pro-inflammatory cytokines such as TNF-&#x3b1; and IL-6 could induce lymphocyte deficiency (<xref ref-type="bibr" rid="B38">38</xref>). Our patients had absolute lymphocyte counts &lt;1,000/&#x3bc;l before treatment. These measured lymphocyte numbers in the peripheral blood increased significantly after treatment, probably resulting from the inhibitory effect of pcMSC on pro-inflammatory cytokines such as IL-6.</p>
<p>Lymphocytes in the peripheral blood are critical to generating early control, viral clearance, and disease resolution after SARS-CoV-2 infection (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Regulatory T cells (Treg) play an important role in the prevention of excessive immune responses to SARS-CoV-2 infection (<xref ref-type="bibr" rid="B41">41</xref>). On analysis of the T lymphocyte subpopulations, our patients had initially lower counts of CD4<sup>+</sup> and CD8<sup>+</sup> T cells, but not in the proportion of CD4<sup>+</sup>, CD8<sup>+</sup> NKT, or Treg cells, compared with age-matched healthy controls. Treatment with pcMSC significantly increased the proportion and absolute number of CD4<sup>+</sup> T and Treg cells. Among CD4<sup>+</sup> T cell subpopulations, memory T cells are crucial in viral clearance during events associated with re-infection. Although memory T cells were not identified as SARS-CoV2-specific, the presence of more memory T cells may suggest that adaptive immunity is being developed. MSCs facilitate Treg cell formation (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B42">42</xref>) by inducing the formation of Tregs from conventional T cells (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). The increase in Treg cells is considered responsible for the suppression of hyperinflammatory responses mediated by pcMSC in our patients. Furthermore, MSC treatment induces a switch from pro-inflammatory Th1 cells to anti-inflammatory Th2 cells (<xref ref-type="bibr" rid="B45">45</xref>). Increased serum levels of IL-5, IL-4, and IL-13 after pcMSC treatment may support this notion.</p>
<p>An effective immune response to the SARS-CoV infection depends on the activation of CD8<sup>+</sup> cytotoxic T cells through the killing of virus-infected cells (<xref ref-type="bibr" rid="B46">46</xref>). However, although there was a trend for CD8<sup>+</sup> T cells to increase with pcMSC treatment, statistical significance was not reached. Our data on the role of NK cells were limited. In one study, there were no differences in NK cell levels between responders and nonresponders before and after treatment (<xref ref-type="bibr" rid="B47">47</xref>). In another study, NKT cell levels showed an increasing trend among survivors, while in non-survivors, reductions were observed (<xref ref-type="bibr" rid="B48">48</xref>). In our study, there was no significant change in NK cells after pcMSC treatment.</p>
<p>B cell-mediated antibody responses through the coordination of other adaptive immune responses, namely, CD4<sup>+</sup> and CD8<sup>+</sup> T cells, are essential for effective control of COVID-19 infection (<xref ref-type="bibr" rid="B49">49</xref>). B cells contribute to the antiviral immune response by first rapidly releasing germline or near-germline antibodies from plasmablasts <italic>via</italic> an extrafollicular pathway. In patients with COVID-19 infection, there are increased portions of IgM<sup>+</sup> memory B cells and CD27<sup>+</sup>CD38<sup>+</sup> plasma/plasmablast cells circulate in the peripheral blood, compared to healthy controls, suggesting a protective memory response occurred (<xref ref-type="bibr" rid="B5">5</xref>). Upon appropriate stimulation of cytokines, B cells undergo class switching and/or enter germinal centers within secondary lymphoid organs to undergo affinity maturation. This maturation process produces long-lived plasma and memory B cells capable of responding to secondary challenges with homotypic or heterotypic antigenic challenges. pcMSC treatment significantly increased the proportion and absolute number of CD27<sup>+</sup>-switched activated B cells and concomitantly suppressed the proportion and absolute number of CD27<sup>+</sup>CD38<sup>+</sup> plasma/plasmablast cells. These results suggest that pc-MSC treatment induced a shift of B cells from a protective memory state to an active response to COVID-19 infection by enhancing the generation of virus-specific immunoglobulin switched B cells or long-lived plasma cells (<xref ref-type="bibr" rid="B50">50</xref>).</p>
<sec id="s4_1">
<title>Study Limitations</title>
<p>The study was a small sample-sized study without a true randomized control group to provide strong evidence of treatment benefit. According to local government laws and legislation, compassionate research for stem cells is limited to 3 patients. Due to the pandemic, our study was allowed to enroll 5 patients. At the time of treatment, all patients had already been treated with antiviral and anti-inflammatory agents, including dexamethasone and tocilizumab. Thus, it was difficult to elucidate immune modulatory effects purely due to pcMSC. Despite these limitations, our treatment showed a desirably favorable prognosis, biochemical responses, and immune profiles with pcMSCs therapy in the treated patients.</p>
</sec>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Taipei Medical University Institutional Review Board. The patients/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>M-CC and KL wrote the manuscript. H-PK, Y-HH, C-MW and C-LC contributed to the design and implementation of the research. K-LC, ST, P-LW involved in clinical care and collecting clinical specimen. Y-RL, WC, Y-HH and M-JL carried out laboratory analysis. H-PK, C-LC and C-MW revised the manuscript and provided additional comments. All authors read and approved the final manuscript.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by the Taiwan Ministry of Science and Technology grants, 109-2314-B-038-097 and 108-2314-B-038-134-MY2.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We thank BioSeed International Co., Ltd. for providing pcMSCs (Matriplax).</p>
</ack>
<sec id="s11" 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.2022.871828/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2022.871828/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_1.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
<sec id="s12">
<title>Abbreviations</title>
<p>ARDS, severe acute respiratory distress syndrome; pcMSC, placenta-derived mesenchymal stem cell; LDH, lactate dehydrogenases; CRP, C-reactive protein; DMSO, dimethyl sulfoxide; ECMO, extracorporeal membrane oxygenation; ICU, intensive care unit; PCR, polymerase chain reaction; t-SNE, t-Distributed Stochastic Neighbor Embedding.</p>    </sec>
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