<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<?covid-19-tdm?>
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<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.2021.709861</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>Nasal Administration of Anti-CD3 Monoclonal Antibody (Foralumab) Reduces Lung Inflammation and Blood Inflammatory Biomarkers in Mild to Moderate COVID-19 Patients: A Pilot Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Moreira</surname>
<given-names>Thais G.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Matos</surname>
<given-names>Kimble T. F.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>De Paula</surname>
<given-names>Giovana S.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Santana</surname>
<given-names>Thais M. M.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Da Mata</surname>
<given-names>Raquel G.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pansera</surname>
<given-names>Fernando C.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cortina</surname>
<given-names>Andre S.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Spinola</surname>
<given-names>Marcelle G.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Baecher-Allan</surname> <given-names>Clare M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Keppeke</surname>
<given-names>Gerson D.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/205680"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jacob</surname>
<given-names>Jules</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Palejwala</surname>
<given-names>Vaseem</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1341868"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Karen</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Izzy</surname>
<given-names>Saef</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/742482"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Healey</surname>
<given-names>Brian C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rezende</surname>
<given-names>Rafael M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/392663"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dedivitis</surname>
<given-names>Rogerio A.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shailubhai</surname>
<given-names>Kunwar</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Weiner</surname>
<given-names>Howard L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/613754"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women&#x2019;s Hospital, Harvard Medical School</institution>, <addr-line>Boston, MA</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Escola Paulista de Medicina, Universidade Federal de S&#xe3;o Paulo</institution>, <addr-line>S&#xe3;o Paulo</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Santa Casa de Misericordia de Santos</institution>, <addr-line>Santos</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Tiziana LifeScience</institution>, <addr-line>Doylestown, PA</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Radiology, Boston Children&#x2019;s Hospital, Harvard Medical School</institution>, <addr-line>Boston, MA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Dan Frenkel, Tel Aviv University, Israel</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Georg Varga, University Hospital Muenster, Germany; Srijayaprakash Babu Uppada, University of Alabama, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Howard L. Weiner, <email xlink:href="mailto:hweiner@rics.bwh.harvard.edu">hweiner@rics.bwh.harvard.edu</email>; Thais G. Moreira, <email xlink:href="mailto:tmoreira@bwh.harvard.edu">tmoreira@bwh.harvard.edu</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Vaccines and Molecular Therapeutics, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>709861</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>05</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>07</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Moreira, Matos, De Paula, Santana, Da Mata, Pansera, Cortina, Spinola, Baecher-Allan, Keppeke, Jacob, Palejwala, Chen, Izzy, Healey, Rezende, Dedivitis, Shailubhai and Weiner</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Moreira, Matos, De Paula, Santana, Da Mata, Pansera, Cortina, Spinola, Baecher-Allan, Keppeke, Jacob, Palejwala, Chen, Izzy, Healey, Rezende, Dedivitis, Shailubhai and Weiner</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Immune hyperactivity is an important contributing factor to the morbidity and mortality of COVID-19 infection. Nasal administration of anti-CD3 monoclonal antibody downregulates hyperactive immune responses in animal models of autoimmunity through its immunomodulatory properties. We performed a randomized pilot study of fully-human nasal anti-CD3 (Foralumab) in patients with mild to moderate COVID-19 to determine if its immunomodulatory properties had ameliorating effects on disease.</p>
</sec>
<sec>
<title>Methods</title>
<p>Thirty-nine outpatients with mild to moderate COVID-19 were recruited at Santa Casa de Misericordia de Santos in Sao Paulo State, Brazil. Patients were randomized to three cohorts: 1) Control, no Foralumab (n=16); 2) Nasal Foralumab (100ug/day) given for 10 consecutive days with 6 mg dexamethasone given on days 1-3 (n=11); and 3) Nasal Foralumab alone (100ug/day) given for 10 consecutive days (n=12). Patients continued standard of care medication.</p>
</sec>
<sec>
<title>Results</title>
<p>We observed reduction of serum IL-6 and C-reactive protein in Foralumab alone <italic>vs</italic>. untreated or Foralumab/Dexa treated patients. More rapid clearance of lung infiltrates as measured by chest CT was observed in Foralumab and Foralumab/Dexa treated subjects <italic>vs</italic>. those that did not receive Foralumab. Foralumab treatment was well-tolerated with no severe adverse events.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This pilot study suggests that nasal Foralumab is well tolerated and may be of benefit in treatment of immune hyperactivity and lung involvement in COVID-19 disease and that further studies are warranted.</p>
</sec>
</abstract>
<kwd-group>
<kwd>foralumab</kwd>
<kwd>anti-CD3</kwd>
<kwd>COVID-19</kwd>
<kwd>SARS-CoV-2</kwd>
<kwd>immune responses</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="43"/>
<page-count count="10"/>
<word-count count="5906"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The new beta-coronavirus Severe Acute Respiratory Syndrome Coronavirus 2 (SARS- CoV-2) has infected over 200 million people world-wild and represents the greatest global public&#xa0;health crises since the pandemic influenza outbreak of 1918 (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Clinical trials have focused on anti-viral therapy (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>) and treatment to modulate the immune system including&#xa0;corticosteroids (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>), convalescent plasma (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), immunoglobulins (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>) and tocilizumab (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>SARS-CoV-2 infection involves prominent immune changes including infiltration of monocytes to the lungs associated with elevated production of pro-inflammatory cytokines known as cytokine storm (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). The COVID-19 hyperinflammatory syndrome can led to multiorgan failure and acute respiratory distress syndrome that represents the leading cause of mortality in COVID-19 (<xref ref-type="bibr" rid="B17">17</xref>). Increased cytotoxic follicular helper cells (TFH) and cytotoxic T helper cells and a decrease in SARS-CoV-2-reactive Tregs were observed in hospitalized COVID-19 patients. A strong cytotoxic TFH response was observed early in the illness (<xref ref-type="bibr" rid="B18">18</xref>). A reduction of Tregs could be an important contributing factor to the hyperactive immune system and lung damage in COVID-19 patients. This is consistent with animal studies in which Treg depletion led to acute encephalitis and&#xa0;increased mortality in mice infected with murine coronavirus (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>Considering that an excessive immune response plays an important role in COVID-19 infection, we hypothesized that enhancing T regulatory cells (Treg) could be of benefit in SARS-CoV-2 infection (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). Tregs play a key role in maintaining tolerance to self-antigens and in suppression of excessive immune responses in autoimmune conditions (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). We have been investigating mucosal administration of anti-CD3 monoclonal antibody (mAb) as a novel approach to induce Tregs and suppress inflammation in models of autoimmunity (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). We have shown that nasal anti-CD3 induces IL-10 dependent Tregs that suppress inflammation and disease progression in several inflammatory diseases models including experimental autoimmune encephalomyelitis, lupus and arthritis (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>We are developing nasal Foralumab, a fully human anti-CD3 monoclonal antibody (mAb), for treatment of secondary progressive multiple sclerosis (SPMS). In preparation for a clinical trial of nasal Foralumab in SPMS we conducted a dose-ranging safety trial in healthy volunteers at the Brigham and Women&#x2019;s Hospital. Foralumab had previously been tested in subjects with colitis given intravenously (<xref ref-type="bibr" rid="B30">30</xref>). We found that nasal Foralumab was safe and was immunologically active as measured by suppression of CD8+ T cell responses and induction of CD4+ IL-10 responses (unpublished). The characterization of the immune response to nasal anti-CD3 in healthy volunteers is ongoing. Given the crises caused by the COVID-19 pandemic and the immediate need for novel approaches to treat the illness, we elected to perform a pilot trial of nasal Foralumab in COVD-19 subjects since we had found that Foralumab was safe in healthy individuals and had immunomodulatory effects.</p>
<p>We chose to treat mild to moderate COVID-19 subjects who were outpatients seen at the Santa Casa de Misericordia de Santos Hospital in Brazil. A dose of 100ug/day for 10 consecutives days was selected based on our experience with nasal Foralumab in healthy individuals. We randomized subjects to receive no treatment <italic>vs</italic>. treatment with Foralumab/Dexa <italic>vs</italic>. treatment with Foralumab alone. The measurement of inflammatory blood markers IL-6, CRP and D-dimer was used as the primary outcome.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Patient Recruitment and Trial Design</title>
<p>Patients with flu-like symptoms consistent with COVID-19 infection were evaluated at Santa Casa de Misericordia de Santos Hospital emergency ward and screened for the study. Inclusion criteria comprised 1) a positive RT-PCR COVID test; and 2) mild to moderate disease with an oxygen saturation over 93% and no requirement for oxygen. Exclusion criteria included (1) infectious disease: syphilis, hepatitis and HIV; (2) Pregnancy; (3) less than 18 years old; (4) chronic kidney disease; (5) cancer or other immunodeficiencies; and (6) elevated glycated hemoglobin for patients with diabetes. Of 60 patients screened for the study, 39 patients were enrolled. 10 were negative for COVID by PCR and 11 elected not to participate after screening.</p>
<p>Patients were randomized into three cohorts: no Foralumab treatment, nasal Foralumab/Dexa, and nasal Foralumab alone. Treatment was administered in an open label fashion. Patients randomized to Foralumab treatment were visited by a nurse for daily drug administration. 50&#x3bc;g of Foralumab was administered by nose drop to each nostril (total 100&#x3bc;g). Patients receiving dexamethasone received 6 mg of oral dexamethasone on days 1-3. Patients in the control group did not receive foralumab. All arms were allowed to continue background antibiotics. Corticosteroids were not given per protocol but patients were able to access them through self or other healthcare provider outside the hospital.</p>
<p>Foralumab treatment was given for 10 consecutive days. Patients returned to hospital at day 13 for clinical exam and lung CT scan follow up. All patients had a lung CT scan prior to entering the study (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Clinical Study Design. Symptomatic patients were consented and randomized on day -2. Blood and nasopharyngeal swab collection, CT scans and medical exam was also performed at day -2. *Eligibility was confirmed on day 0 (SARS-CoV-2 PCR positive results, infectious disease negative results). Foralumab treatment started at day 1 for 10 days. Dexamethasone (6mg/day) was given on days 1-3 to Foralumab/Dexa group. PRO data was collected daily during treatment (day 1 to day 10) and symptomatology was accessed during medical exam at the beginning and completion of study (day -2 and day 13). Blood collection for biomarkers follow-up was performed at day 5 and day10. Patient returned to the hospital for clinical exam and CT scan follow up on day 13. &#x2756; Symptomatology and drug use assessment. CT, computerized tomography; PRO, patient reported outcome.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-709861-g001.tif"/>
</fig>
<p>Patients completed a daily clinical outcome questionnaire to assess 15 common COVID-19 related symptoms designed based on FDA guidelines (see below). This scoring system generated a numeric value for each day. Overall wellness was accessed using Baker Wong scale for pain assessment. Patients allocated to the control group did not receive placebo and thus were not visited by the clinical team apart from blood collection on days 5 and 10. For these patients, the daily survey was conducted by phone.</p>
</sec>
<sec id="s2_2">
<title>Study Approval</title>
<p>The study was conducted according to the Brazilian regulatory agency for clinical research and good clinical practice guidelines and declaration of Helsinki. Ethical committee approval was granted by Universidade Metropolitana de Santos &#x2013; UNIMES (CAAE: 38056120.1.0000.5509). The investigators designed the trial, collected the data, and performed the analysis. In addition to providing Foralumab, Tiziana Life Sciences also provided financial assistance to the trial but did not participate in statistical analysis or data interpretation.</p>
</sec>
<sec id="s2_3">
<title>Laboratory Tests</title>
<p>Nasopharyngeal swabs were used to screen for COVID-19 by RT-PCR. Clinical laboratory tests were performed at S&#x2019;agapo Laboratory and included: complete blood counts, IL-6, D-dimer, CRP, COVID-19 Serology, HIV, syphilis, pregnancy, hepatitis, and glycated hemoglobin. White blood counts were measured by flow cytometry and impedance. CRP and glycated hemoglobin were measured by turbidimetry, D-dimer was measured by immunoturbidimetry, and IL-6 was measured by chemiluminescence. IL-18 was measured using ProcartaPlex multiplex assay (Thermo Fisher, EPX450-12171-901).</p>
</sec>
<sec id="s2_4">
<title>Lung CT and Analysis</title>
<p>Lung CT scan was performed at Santa Casa de Misericordia de Santos Hospital using a 16 channel (Toshiba-Alexion) CT scanner. Contrast was not used. Scan coverage was from apex of the lung to the level of bilateral adrenals. Tube voltage was between 100-120Kv. Parenchyma slide thickness was 1mm.</p>
<p>Lung injury consisted of patchy shadowing and ground glass appearance which was graded on a scale of 0 to 4 as follows: 0 = no detectable abnormalities or lung involvement &lt;5%; Stage 1 = mild lung involvement involving approximately 10% of lung area, Stage 2= moderate lung involvement with patchy shadowing and ground glass lesions involving approximately 25% of lung area, Stage 3 = severe confluent ground glass lesions and consolidation involving 25% to 50% of lung area; Stage 4 very severe ground glass lesions and consolidation involving more than half of the lung area.</p>
<p>Baseline lung CT scans obtained on day -2 were compared to scans obtained on day 13. Patients were classified as worsened if they increased by one or more stage, improved if they decreased by one stage and as having marked improvement if they decreased by 2 or more stages. Patients were stable if they did not change stages. Lung CT analysis was performed by three radiologists in a blinded fashion.</p>
</sec>
<sec id="s2_5">
<title>Patient Reported Outcomes (PRO) and Medical Report Outcome</title>
<p>Patient reported outcomes were accessed daily using a symptomatology survey based on FDA guidelines (Assessing COVID-19-related symptoms in Outpatient Adult and Adolescent Subjects in Clinical Trials of Drug and Biological Products for COVID-19 Prevention or Treatment) (<uri xlink:href="https://www.fda.gov/media/142143/download">https://www.fda.gov/media/142143/download</uri>). PRO consisted of 15 questions with the following response system: (1) Anosmia (loss of smell): 0=normal, 3=reduced, 5=completely lost). (2)&#xa0;Dysgeusia (loss of taste): 0=normal, 3=reduced, 5=completely lost). (3) Cough: 0=not present, 3 =present some time, 5=present more than half the day. (4) Headache: 0=not present, 3=present some time, 5=present more than half the day); (5) Throat ache: 0=not present, 3=moderate, hurts when swallowing, 5=strong, intense pain when swallowing. (6) Dyspnea: 0=not present, 3= moderate, some lack of air, 5=strong, difficult breathing. (7)&#xa0;Nausea/Vomiting: 0=not present, 3= nausea without vomiting, 5=vomiting. 8) O2 Saturation: 0= &gt; 95, 3 = 94-95%, 5 = 91-93%. (9) Diarrhea was evaluated according to the Bristol Scale (ref) 0=type 0-4, 3=type 5 or 6, 5=type 7. (10) Rhinorrhea: 0=not present, 3=nose with mucus, 5=runny nose (liquid)); (11)&#xa0;Abdominal pain: 0=not present, 3=moderate, 5=intense). (12) Myalgia: 0=not present, 3=moderate, 5=intense (full body). (13) Fever: 0=not present, 3 = 37-38C, 5= &gt;38.0C. (14) Conjunctivitis: 0=absent, 5=present. (15) Appetite: 0=normal, 3=reduced, 5=completely lost. General well-being (how you are feeling today) was assessed using the Baker Wong scale for pain assessment (0-10). The maximum possible score was 85.</p>
<p>We also accessed COVID-19 symptoms reported at day -2 as compared to symptomatology at day 13. For this, we stratified patient reported symptoms according to Domains as follows: Domain 1 (weakness, fatigue, inappetence, body ache, backpain); Domain 2 (fever, chills, sweating); Domain 3 (nausea, diarrhea, epigastric pain); Domain 4 (ageusia); Domain 5 (anosmia); Domain 6 (runny nose, odynophagia, sneezing); Domain 7 (headache, anxiety, eye pain, dizziness); Domain 8 (cough, dyspnea, chest pain). Patient was scored for one symptom in each domain.</p>
</sec>
<sec id="s2_6">
<title>Statistical Analysis</title>
<p>The demographic characteristics of the three treatment groups were summarized using means/standard deviations for continuous outcomes and number/percentages for dichotomous outcomes. The patient reported outcomes were measured daily for 10 days, and the change with time in each treatment group was estimated using a linear mixed model with a random intercept and slope. The fixed effects in the model were two indicators for the Foralumab groups, day, and two day by treatment group interaction terms. The estimated slope in each treatment group, and the pairwise group comparison of the slopes are reported. For the presence of symptoms at each domain, the number/percentage for each domain was calculated prior to starting the treatment and at day 10, and the percentage was compared between the treatment groups using a chi-squared test. The total number of domains at each time point was compared across the treatment groups using a Kruskal-Wallis test. For biomarkers, we used linear mixed effects regression model with a random intercept to compare the three groups in terms of change from baseline (day -2) at day 5 and day 10. The primary analysis was the three-group comparison, and this was completed using appropriate contrasts from the linear mixed model. Comparisson between the treatment groups for lung injury (Lung CT scan) was calculated using a chi-squared test. A p value of &lt; 0.05 was considered statistically significant. All analyses were performed with R software and graph prism was used for graph representation.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patients</title>
<p>The baseline demographics are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Thirty-nine patients participated in the study, 64.1% females (n=25) and 35.9% males (n=14). The mean age of subjects was 41.1 &#xb1; 14.2. with control subjects 33.5, Foralumab/Dexa subjects 41, and Foralumab subjects 44.5. The majority of patients were white. Twenty-three (41%) patients had one or more comorbidities with the most common being obesity. Obesity (BMI&gt;30 Kg/m<sup>2</sup>) occurred in 37.8% of patients and was observed in all groups (<xref ref-type="bibr" rid="B31">31</xref>). Grade 2 obesity was observed in one control subject and one subject in the Foralumab group. Eleven patients (28.2%) reported the use of corticosteroids (prednisolone or dexamethasone) prior to entry in the study. Patients that did not use corticosteroids prior to the study were randomized to the control or the Foralumab group. Patients that used corticosteroids prior to the study were randomized to the control or Foralumab/Dexa group.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Patient Characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Characteristic</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">Foralumab/Dexa</th>
<th valign="top" align="center">Foralumab</th>
<th valign="top" align="center">Total</th>
</tr>
<tr>
<th valign="top" align="center">(n = 16)</th>
<th valign="top" align="center">(n = 11)</th>
<th valign="top" align="center">(n = 12)</th>
<th valign="top" align="center">(n = 39)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Gender - no. (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">10 (62.5)</td>
<td valign="top" align="center">6 (54.5)</td>
<td valign="top" align="center">9 (75)</td>
<td valign="top" align="center">25 (64.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">6 (37.5)</td>
<td valign="top" align="center">5 (45.5)</td>
<td valign="top" align="center">3 (25)</td>
<td valign="top" align="center">14 (35.9)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age <sup>#</sup>( &#xb1; SD)</bold>
</td>
<td valign="top" align="center">33.5 ( &#xb1; 18.19)</td>
<td valign="top" align="center">41 ( &#xb1; 9.14)</td>
<td valign="top" align="center">44.5 ( &#xb1; 11)</td>
<td valign="top" align="center">41.1( &#xb1; 14.2)</td>
</tr>
<tr>
<td valign="top" align="left">
<sup>&#x2020;</sup>
<bold>Race - no. (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;White</td>
<td valign="top" align="center">13 (81.3)</td>
<td valign="top" align="center">9 (81.8)</td>
<td valign="top" align="center">10 (83.3)</td>
<td valign="top" align="center">32 (82)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;&#x2020;</sup>Not white/black</td>
<td valign="top" align="center">2 (12.5)</td>
<td valign="top" align="center">2 (18.2)</td>
<td valign="top" align="center">2 (16.7)</td>
<td valign="top" align="center">6 (15.4)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Black</td>
<td valign="top" align="center">1 (6.25)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1 (2.6)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Comorbidities - no. (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hypertension</td>
<td valign="top" align="center">3 (18.8)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4 (33.3)</td>
<td valign="top" align="center">7 (17.9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Diabetes</td>
<td valign="top" align="center">2 (12.5)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2 (16.7)</td>
<td valign="top" align="center">4 (10.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Cardiovascular disease</td>
<td valign="top" align="center">2 (12.5)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3 (25)</td>
<td valign="top" align="center">5 (12.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Obesity <sup>&#x2756;</sup>BMI &gt; 30</td>
<td valign="top" align="center">3 (21.4)<sup>*</sup>
</td>
<td valign="top" align="center">5 (45.5)</td>
<td valign="top" align="center">6 (50)</td>
<td valign="top" align="center">14 (37.8)<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<bold>Drug use prior to study - no. (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Corticosteroids</td>
<td valign="top" align="center">6 (37.5)</td>
<td valign="top" align="center">5 (45.5)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">11(28.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Azithromycin</td>
<td valign="top" align="center">5 (31.3)</td>
<td valign="top" align="center">4 (36.4)</td>
<td valign="top" align="center">3 (25)</td>
<td valign="top" align="center">12 (30.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Ivermectin</td>
<td valign="top" align="center">1 (6.25)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3 (25)</td>
<td valign="top" align="center">4 (10.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hydroxychloroquine</td>
<td valign="top" align="center">1 (6.25)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1 (8.3)</td>
<td valign="top" align="center">2 (5.12)</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<bold>Drug use during the study - no. (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Corticosteroids<sup>&#x2021;</sup>
</td>
<td valign="top" align="center">5 (31.3)</td>
<td valign="top" align="center">11(100%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">21 (53.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Azytromicin</td>
<td valign="top" align="center">9 (56.3)</td>
<td valign="top" align="center">5 (45.5)</td>
<td valign="top" align="center">9 (75)</td>
<td valign="top" align="center">23 (59)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Ivermectin</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2 (16.7)</td>
<td valign="top" align="center">2 (5.12)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Acetylcysteine</td>
<td valign="top" align="center">3 (18.75)</td>
<td valign="top" align="center">1 (9)</td>
<td valign="top" align="center">1 (8.3)</td>
<td valign="top" align="center">5 (12.8)</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<bold>Anti-COVID-19 antibodies - no. (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IgM (day -2)</td>
<td valign="top" align="center">4 (25)</td>
<td valign="top" align="center">3 (27.3)</td>
<td valign="top" align="center">2 (16.6)</td>
<td valign="top" align="center">9 (23.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IgG (day -2)</td>
<td valign="top" align="center">1 (6.25)</td>
<td valign="top" align="center">2 (18.2)</td>
<td valign="top" align="center">3 (25)</td>
<td valign="top" align="center">6 (15.4)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IgM (day 10)</td>
<td valign="top" align="center">11(68.8)</td>
<td valign="top" align="center">6 (54.5)</td>
<td valign="top" align="center">10 (83.3)</td>
<td valign="top" align="center">27 (69.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IgG (day 10)</td>
<td valign="top" align="center">13 (81.3)</td>
<td valign="top" align="center">9 (81.8)</td>
<td valign="top" align="center">10 (83.3)</td>
<td valign="top" align="center">32 (82)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<bold>
<sup>#</sup>
</bold>Plus&#x2013;minus values are means &#xb1; SD. <sup>&#x2020;</sup>Race was reported by the patients as well as weight and height.</p>
</fn>
<fn>
<p>
<sup>&#x2020;&#x2020;</sup>Ethnic and skin mixed color category named &#x201c;Pardo&#x201d; used by the Brazilian Institute of Geography and Statistics (IBGE). <sup>&#x2756;</sup>The body-mass index (BMI) is the weight in kilograms divided by the square of the height in meters. *Two patients in the control group could not report weight and height (total n=14). Drug use was reported by patients to physicians at day-2 and day 13. <sup>&#x2021;</sup>Background Immunoglobulin (Ig).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Drug use during the study: Twenty-three patients (58.9%) received azithromycin prescribed their physicians. Two patients took the anti-helminth drug ivermectin and 5 patients took the drug acetylcysteine. At the 13day follow-up visit, 5 patients in control group reported taking up to 5 days of off label steroids during the study.</p>
<p>IgM and IgG anti-COVID antibodies were measured on day -2 and day 10 of the study. Nine subjects (23.1%) had anti-COVID IgM antibodies on day -2 which increased to 27 subjects (69.2%) at day 10. Six subjects (15.4%) had anti-COVID IgG antibodies on day -2 which increased to 32 subjects (82%) at day 10. No differences in the development of IgM or IgG antibodies were observed between the groups.</p>
</sec>
<sec id="s3_2">
<title>Patient Reported Outcomes (PRO)</title>
<p>Patients completed a daily clinical outcome questionary to assess 15 common COVID-19 related symptoms. There were no differences in patient reported outcome among groups (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Estimated change per day in patient reported outcomes (PRO).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Anosmia</th>
<th valign="top" align="center">Dysgeusia</th>
<th valign="top" align="center">Baker Scale</th>
<th valign="top" align="center">Total Score</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Control (n=16)</td>
<td valign="top" align="center">-0.25</td>
<td valign="top" align="center">-0.18</td>
<td valign="top" align="center">-1.39</td>
<td valign="top" align="center">-1.3</td>
</tr>
<tr>
<td valign="top" align="left">Foralumab/Dexa (n=11)</td>
<td valign="top" align="center">-0.18</td>
<td valign="top" align="center">-0.24</td>
<td valign="top" align="center">-1.31</td>
<td valign="top" align="center">-1.23</td>
</tr>
<tr>
<td valign="top" align="left">Foralumab (n=12)</td>
<td valign="top" align="center">-0.15</td>
<td valign="top" align="center">-0.19</td>
<td valign="top" align="center">-1.23</td>
<td valign="top" align="center">-1.17</td>
</tr>
<tr>
<td valign="top" align="left">Foralumab/Dexa &#x2013; control</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.83</td>
</tr>
<tr>
<td valign="top" align="left">Foralumab &#x2013; control</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.67</td>
</tr>
<tr>
<td valign="top" align="left">Foralumab - Foralumab/Dexa</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">0.85</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The change per day in each group was estimated using a linear mixed model with a random intercept and slope. To compare groups, the estimated difference in the change per day is reported with p-value.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>COVID Symptomatology</title>
<p>We compared patient symptomatology at day -2 <italic>vs</italic>. day 13 according to the 8 Domains (eg., fever, gastrointestinal symptoms, and respiratory symptoms) described in methods above. At day -2, patients had been experiencing symptoms for an average of 6 days in an average of 5 Domains. As shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, most patients improved during the course of the study with no major differences between the treatment groups. At the end of the study 23 of 39 patients (58.9%) were asymptomatic; 8 of 16 (50%) in the control group, 6 of 11 (54.5%) in the Foramulab/Dexa group and 9 of 12 (75%) in the Foralumab group. Among the 16 patients that remained symptomatic at the end of the study, anosmia (Domain 5) and cough (Domain 8) were the most common symptoms. There were anecdotal reports of rapid recovery from anosmia and ageusia in both Foralumab treated groups. Of note, our study was not designed to determine long-term effects of Foralumab on COVID-19 symptomatology.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>COVID-19 Symptomatology.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" colspan="2" align="center">Controlno. (%)</th>
<th valign="top" colspan="2" align="center">Foralumab/Dexano. (%)</th>
<th valign="top" colspan="3" align="center">Foralumabno. (%)</th>
<th valign="top" colspan="2" align="center">p-value*</th>
</tr>
<tr>
<th valign="top" align="center">Day -2</th>
<th valign="top" align="center">Day 13</th>
<th valign="top" align="center">Day -2</th>
<th valign="top" align="center">Day 13</th>
<th valign="top" align="center">Day -2</th>
<th valign="top" colspan="2" align="center">      Day 13</th>
<th valign="top" align="center">Day-2</th>
<th valign="top" align="center">Day 13</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"> **Domain 1</td>
<td valign="top" align="center">11 (68.8)</td>
<td valign="top" align="center">1 (6.2)</td>
<td valign="top" align="center">10 (90.9)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" colspan="2" align="left">10 (83.3)</td>
<td valign="top" align="left">1 (8.3)</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.64</td>
</tr>
<tr>
<td valign="top" align="left"> Domain 2</td>
<td valign="top" align="center">9 (56.2)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">6 (54.5)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" colspan="2" align="left">7 (58.3)</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">0.58</td>
</tr>
<tr>
<td valign="top" align="left"> Domain 3</td>
<td valign="top" align="center">5 (31.2)</td>
<td valign="top" align="center">3 (18.8)</td>
<td valign="top" align="center">1 (9.1)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" colspan="2" align="left">0 (0)</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left"> Domain 4</td>
<td valign="top" align="center">13 (81.2)</td>
<td valign="top" align="center">2 (12.5)</td>
<td valign="top" align="center">9 (81.8)</td>
<td valign="top" align="center">2 (18.2)</td>
<td valign="top" colspan="2" align="left">10 (83.3)</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">0.33</td>
</tr>
<tr>
<td valign="top" align="left"> Domain 5</td>
<td valign="top" align="center">12 (75.0)</td>
<td valign="top" align="center">3 (18.8)</td>
<td valign="top" align="center">10 (90.9)</td>
<td valign="top" align="center">3 (27.3)</td>
<td valign="top" colspan="2" align="left">8 (66.7)</td>
<td valign="top" align="left">1 (8.3)</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.49</td>
</tr>
<tr>
<td valign="top" align="left"> Domain 6</td>
<td valign="top" align="center">7 (43.8)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">5 (45.5)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" colspan="2" align="left">6 (50.0)</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">0.58</td>
</tr>
<tr>
<td valign="top" align="left"> Domain 7</td>
<td valign="top" align="center">7 (43.8)</td>
<td valign="top" align="center">2 (12.5)</td>
<td valign="top" align="center">8 (72.7)</td>
<td valign="top" align="center">1 (9.1)</td>
<td valign="top" colspan="2" align="left">5 (41.7)</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.46</td>
</tr>
<tr>
<td valign="top" align="left"> Domain 8</td>
<td valign="top" align="center">13 (81.2)</td>
<td valign="top" align="center">2 (12.5)</td>
<td valign="top" align="center">8 (72.7)</td>
<td valign="top" align="center">2 (18.2)</td>
<td valign="top" colspan="2" align="left">7 (58.3)</td>
<td valign="top" align="left">2 (16.7)</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">0.91</td>
</tr>
<tr>
<td valign="top" align="left">
<sup>&#x2020;</sup>Domains/pt.<break/>
<bold>
<sup>#</sup>
</bold>(mean &#xb1; SD)</td>
<td valign="top" align="center">4.8 ( &#xb1; 1.5)</td>
<td valign="top" align="center">0.8 ( &#xb1; 1.0)</td>
<td valign="top" align="center">5.2 ( &#xb1; 0.6)</td>
<td valign="top" align="center">0.7 ( &#xb1; 0.9)</td>
<td valign="top" colspan="2" align="left">4.4 ( &#xb1; 1.3)</td>
<td valign="top" align="left">0.3 ( &#xb1; 0.7)</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.37</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>**For each Domain, the number (%) of patients experiencing symptoms in that Domain at day -2 and day 13 are shown. *p-value for each domain is from a chi-squared test comparing the proportions across the three groups at each time point. For the domains per patient, the three groups were compared using a Kruskal-Wallis test. <bold>
<sup>#</sup>
</bold>Plus&#x2013;minus values are means &#xb1; SD. <sup>&#x2020;</sup>Domains/pt = the average number of Domains in which patients experienced symptoms. Pt, patient; Dexa, Dexamethasone.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Adverse Events</title>
<p>Eleven patients (28%) experienced an adverse event including headache (n=4) burning in the nostril (n=1), retrosternal pain (n=2), pustular lesions and itching in cervical area (n=1), dysuria (n=1), tachycardia associated with anxiety (n=1) and insomnia (n=1) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). No serious adverse events were observed, and all patients completed the study. The incidence and severity of adverse events was determined according to the National Cancer Institute Common Terminology Criteria for Adverse Events, version 5.0.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Adverse events.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" colspan="2" align="left"> </th>
<th valign="top" rowspan="2" align="center">Control (n = 16)</th>
<th valign="top" rowspan="2" align="center">Foralumab/Dexa (N = 11)</th>
<th valign="top" rowspan="2" align="center">Foralumab (n = 12)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Headache</td>
<td valign="top" colspan="2" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">Burning in the nostril</td>
<td valign="top" colspan="2" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Retrosternal pain</td>
<td valign="top" colspan="2" align="center">0</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Pustular Lesions and Itching in cervical area</td>
<td valign="top" colspan="2" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Dysuria</td>
<td valign="top" colspan="2" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Tachycardia (anxiety)</td>
<td valign="top" colspan="2" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Insomnia</td>
<td valign="top" colspan="2" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The incidence and severity of adverse events was determined according to the National Cancer Institute Common Terminology Criteria for Adverse Events, version 5.0. Dexa= Dexamethasone.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<title>White Blood Cells</title>
<p>Lymphocyte, monocyte and neutrophil counts were obtained on days -2, 5 and 10 (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). No reduction in white blood cells was observed with treatment. Lymphocytes and monocytes were increased in the Foralumab/Dexa cohort on day 5; p=0.002 and p=0.038, respectively but not on the last day on dosing. Lymphocytes were not elevated significantly above Baseline in the foralumab alone group or the control group. No differences in neutrophil counts were observed. In three group comparisons, a difference was observed in the control <italic>vs</italic>. the Foralumab/Dexa group and the Foralumab <italic>vs</italic>. Foralumab/Dexa for lymphocytes at day 5; p= 0.008 and p=0.027, respectively.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>White blood cell analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Day -2</th>
<th valign="top" align="center">Day 5</th>
<th valign="top" align="center">Day 10</th>
</tr>
<tr>
<th valign="top" align="left">Lymphocytes</th>
<th valign="top" align="center">Mean ( &#xb1; SD)<sup>#</sup>
</th>
<th valign="top" align="center">Mean ( &#xb1; SD)</th>
<th valign="top" align="center">Mean ( &#xb1; SD)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Control</td>
<td valign="top" align="center">1819.9 ( &#xb1; 585.6)</td>
<td valign="top" align="center">2138.3 ( &#xb1; 649.6)</td>
<td valign="top" align="center">2091.5 ( &#xb1; 357.3)</td>
</tr>
<tr>
<td valign="top" align="left">Foralumab/Dexa</td>
<td valign="top" align="center">1770.8 ( &#xb1; 431.2)</td>
<td valign="top" align="center">3397.9 ( &#xb1; 1384.3)</td>
<td valign="top" align="center">2190.8 ( &#xb1; 666.2)</td>
</tr>
<tr>
<td valign="top" align="left">Foralumab</td>
<td valign="top" align="center">1722.6 ( &#xb1; 623.7)</td>
<td valign="top" align="center">2123.2 ( &#xb1; 754.9)</td>
<td valign="top" align="center">2135.2 ( &#xb1; 460.2)</td>
</tr>
<tr>
<td valign="top" align="left">*Three group comparison (p-value)</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.88</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Control - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.79</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Control - Foralumab</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Foralumab - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.027</td>
<td valign="top" align="center">0.74</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Monocytes</bold>
</td>
<td valign="top" align="center">Mean ( &#xb1; SD)</td>
<td valign="top" align="center">Mean ( &#xb1; SD)</td>
<td valign="top" align="center">Mean ( &#xb1; SD)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Control</td>
<td valign="top" align="center">514.8 ( &#xb1; 227.1)</td>
<td valign="top" align="center">634.2 ( &#xb1; 309.9)</td>
<td valign="top" align="center">573.8 ( &#xb1; 182.9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Foralumab/Dexa</td>
<td valign="top" align="center">574.3 ( &#xb1; 344.1)</td>
<td valign="top" align="center">826.3 ( &#xb1; 380.5)</td>
<td valign="top" align="center">656 ( &#xb1; 339.9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Foralumab</td>
<td valign="top" align="center">487.6 ( &#xb1; 180.2)</td>
<td valign="top" align="center">503.7 ( &#xb1; 112.2)</td>
<td valign="top" align="center">553.9 ( &#xb1; 124.9)</td>
</tr>
<tr>
<td valign="top" align="left">*Three group comparison (p-value)</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Control - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.79</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Control - Foralumab</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.90</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Foralumab - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.60</td>
</tr>
<tr>
<td valign="top" align="left"> <bold>Neutrophils</bold>
</td>
<td valign="top" align="center">Mean ( &#xb1; SD)</td>
<td valign="top" align="center">Mean ( &#xb1; SD)</td>
<td valign="top" align="center">Mean ( &#xb1; SD)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Control</td>
<td valign="top" align="center">3236.4 ( &#xb1; 1725.8)</td>
<td valign="top" align="center">4816.4 ( &#xb1; 2169.2)</td>
<td valign="top" align="center">4274.9 ( &#xb1; 1596.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Foralumab/Dexa</td>
<td valign="top" align="center">4087.2 ( &#xb1; 2785)</td>
<td valign="top" align="center">5160.6 ( &#xb1; 2633.5)</td>
<td valign="top" align="center">4197.8 ( &#xb1; 1794)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Foralumab</td>
<td valign="top" align="center">3138.4 ( &#xb1; 1734.9)</td>
<td valign="top" align="center">3537.8 ( &#xb1; 1070.3)</td>
<td valign="top" align="center">4308.6 ( &#xb1; 1629.7)</td>
</tr>
<tr>
<td valign="top" align="left">*Three group comparison (p-value)</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.98</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Control - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.54</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Control - Foralumab</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.71</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Foralumab - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.44</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<bold>
<sup>#</sup>
</bold>Plus&#x2013;minus values are means &#xb1; SD. values are/mm<sup>3</sup>.</p>
</fn>
<fn>
<p>*P-value for three group comparison of change from baseline (day -2) is provided.</p>
</fn>
<fn>
<p>
<sup>&#x2020;</sup>P-values of difference between treatment groups in change from baseline from linear mixed model. Dexa, Dexamethasone.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<title>Inflammatory Biomarkers</title>
<p>We quantified serum levels of IL-6, CRP and D-dimer on days -2, 5 and 10. IL-6 and CRP levels may be linked to worse outcome in COVID-19 (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>) and anti-IL-6 therapy is being investigated as immunotherapy in COVID (<xref ref-type="bibr" rid="B34">34</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>). As shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> Foralumab resulted in a 69% reduction in IL-6 levels at day 10 (p=0.031) and 85% reduction in CRP at day 10 (p=0.032).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Blood inflammatory markers IL-6 and C-reactive protein. Serum quantification and percentage of reduction of <bold>(A)</bold> IL-6 and <bold>(B)</bold> C-reactive protein. Linear regression was used to compare three-group comparison of each time point. A linear mixed model with a random intercept was used to baseline (day -2) comparison. Percent of baseline was compared using Wilcoxon rank sum test. p= &lt;0.05. IL, Interleukin, CRP, c-reactive protein, Dexa, dexamethasone.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-709861-g002.tif"/>
</fig>
<p>As shown in <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>, three group comparisons showed a difference between Control <italic>vs</italic> Foralumab at a day 5 (p=0.01) and at day 10 (p=0.031) and in CRP on day 10 (p=0.032). No significant differences were observed in D-dimer serum levels among groups. We also measured serum IL-18. Paired analysis showed that IL-18 in the Foralumab group was 46.1 (&#xb1; 15.5) pg/ml before treatment and 37.6 (&#xb1; 12.6) pg/ml after treatment (p=0.054). There were no significant changes in serum IL-18 following treatment in the Foralumab/DEXA (p=0.16) or Control groups (p=0.43).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Blood inflammatory biomarkers.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Biomarker</th>
<th valign="top" align="center">Day -2</th>
<th valign="top" align="center">Day 5</th>
<th valign="top" align="center">Day 10</th>
</tr>
<tr>
<th valign="top" align="left">IL-6</th>
<th valign="top" align="center">(Mean &#xb1; SD)<sup>#</sup>
</th>
<th valign="top" align="center">(Mean &#xb1; SD)</th>
<th valign="top" align="center">(Mean &#xb1; SD)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Control</td>
<td valign="top" align="center">5.1 ( &#xb1; 5.4)</td>
<td valign="top" align="center">6 ( &#xb1; 7.5)</td>
<td valign="top" align="center">3.2 ( &#xb1; 1.9)</td>
</tr>
<tr>
<td valign="top" align="left">Foralumab/Dexa</td>
<td valign="top" align="center">10.6 ( &#xb1; 9.2)</td>
<td valign="top" align="center">7.5 ( &#xb1; 9.6)</td>
<td valign="top" align="center">6.3 ( &#xb1; 9.2)</td>
</tr>
<tr>
<td valign="top" align="left">Foralumab</td>
<td valign="top" align="center">12 ( &#xb1; 11.5)</td>
<td valign="top" align="center">3.5 ( &#xb1; 3)</td>
<td valign="top" align="center">3.7 ( &#xb1; 2.4)</td>
</tr>
<tr>
<td valign="top" align="left">Three group comparison (p-value)</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">0.29</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Control - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.40</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Control - Foralumab</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.031</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Foralumab - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.32</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>CRP</bold>
</td>
<td valign="top" align="center">(Mean &#xb1; SD)</td>
<td valign="top" align="center">(Mean &#xb1; SD)</td>
<td valign="top" align="center">(Mean &#xb1; SD)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Control</td>
<td valign="top" align="center">10.4 ( &#xb1; 19.6)</td>
<td valign="top" align="center">5.8 ( &#xb1; 12.8)</td>
<td valign="top" align="center">6.2 ( &#xb1; 12.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Foralumab/Dexa</td>
<td valign="top" align="center">18 ( &#xb1; 25.7)</td>
<td valign="top" align="center">7.7 ( &#xb1; 22.1)</td>
<td valign="top" align="center">8.2 ( &#xb1; 15.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Foralumab</td>
<td valign="top" align="center">18.7 ( &#xb1; 24.5)</td>
<td valign="top" align="center">14.3 ( &#xb1; 18.7)</td>
<td valign="top" align="center">2.8 ( &#xb1; 3.6)</td>
</tr>
<tr>
<td valign="top" align="left">Three group comparison (p-value)</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Control - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Control - Foralumab</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">0.032</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Foralumab - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.26</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>D-dimer</bold>
</td>
<td valign="top" align="center">(Mean &#xb1; SD)</td>
<td valign="top" align="center">(Mean &#xb1; SD)</td>
<td valign="top" align="center">(Mean &#xb1; SD)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Control</td>
<td valign="top" align="center">368.8 ( &#xb1; 156.7)</td>
<td valign="top" align="center">888.6 ( &#xb1; 1635.6)</td>
<td valign="top" align="center">573.5 ( &#xb1; 436.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Foralumab/Dexa</td>
<td valign="top" align="center">434.6 ( &#xb1; 216.8)</td>
<td valign="top" align="center">555.5 ( &#xb1; 376.6)</td>
<td valign="top" align="center">417.1 ( &#xb1; 210.4)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Foralumab</td>
<td valign="top" align="center">499.5 ( &#xb1; 317.3)</td>
<td valign="top" align="center">757.7 ( &#xb1; 872.5)</td>
<td valign="top" align="center">551.8 ( &#xb1; 356.5)</td>
</tr>
<tr>
<td valign="top" align="left">Three group comparison (p-value)</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Control - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.35</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Control - Foralumab</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.64</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<sup>&#x2020;</sup>Foralumab - Foralumab/Dexa</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">0.92</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<bold>
<sup>#</sup>
</bold>Plus&#x2013;minus values are means &#xb1; SD.</p>
</fn>
<fn>
<p>*P-value for three group comparison of change from baseline (day -2) is provided.</p>
</fn>
<fn>
<p>
<sup>&#x2020;</sup>P-values of difference between treatment groups in change from baseline from linear mixed model.</p>
</fn>
<fn>
<p>Interleukin, CRP, c-reactive protein, Dexa, dexamethasone.</p>
</fn>
<fn>
<p>IL-6 (pg/ml); CRP (mg/L); D-dimer (ng/ml FEU).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_7">
<title>Lung CT Analysis</title>
<p>Computerized tomography (CT) of the lung was obtained prior to treatment at day -2 and at study completion on day 13 and analyzed as described in the methods. Lung CT scan was not obtained in 2 control subjects and 1 Foralumab/Dexa subject. Each patient was classified as worse, stable, improved or markedly improved. As shown in <xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>, 1/10 of the Foralumab/Dexa subjects worsened. 10/14 control subjects, 2/10 Foralumab/Dexa subjects and 2/12 Foralumab subjects remained stable. Regarding improvement, because 6 patients in the control group and 2 in the Foralumab/Dexa group had no lung involvement on day -2, they were not able to improve. Thus, improvement occurred in 3/8 control, 1/8 Foralumab/Dexa and 5/12 in the Foralumab group. Marked improvement was observed in 1/8 control, 6/8 in the Foralumab/Dexa and 5/12 in the Foralumab group. Thus, marked improvement was predominantly observed in subjects receiving Foralumab/Dexa or Foralumab alone. Control <italic>vs</italic>. Foralumab/Dexa, p=0.01 and Control <italic>vs</italic>. Forlumab/Dexa+Foralumab, p=0.04 (chi-square analysis) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Lung CT scan analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"> </th>
<th valign="top" colspan="2" align="center">Control</th>
<th valign="top" align="center">Foralumab/Dexa</th>
<th valign="top" align="center">Foralumab</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Worsened</td>
<td valign="top" align="center">0/14</td>
<td valign="top" colspan="2" align="center">1/10</td>
<td valign="top" align="center">0/12</td>
</tr>
<tr>
<td valign="top" align="left">Stable</td>
<td valign="top" align="center">10/14</td>
<td valign="top" colspan="2" align="center">2/10</td>
<td valign="top" align="center">2/12</td>
</tr>
<tr>
<td valign="top" align="left">Improved</td>
<td valign="top" align="center">3/8</td>
<td valign="top" colspan="2" align="center">1/8</td>
<td valign="top" align="center">5/12</td>
</tr>
<tr>
<td valign="top" align="left">Marked Improvement*</td>
<td valign="top" align="center">1/8</td>
<td valign="top" colspan="2" align="center">6/8</td>
<td valign="top" align="center">5/12</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Patients were classified as worsened if they increased by one or more stage, improved if they decreased by one stage and as having marked improvement if they decreased by 2 or more stages.</p>
</fn>
<fn>
<p>Two patients in the control group and 1 in Foralumab/Dexa group did not undergo lung CT at day 13 and thus are not part of the analysis.</p>
</fn>
<fn>
<p>Six patients in the control group and 2 in the Foralumab/Dexa group had no lung involvement on day -2 and thus were not able to improve. They are not counted in the improved categories.</p>
</fn>
<fn>
<p>*p=0.01, Control vs. Foralumab/Dexa and p=0.04, Control vs. Forlumab/Dexa+Foralumab, chi-square analysis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Lung CT Scan: CT chest in COVID-19 patients by treatment group. I-II: Axial images in a control patient shows widespread ground glass opacity (anterior and posterior segments of bilateral upper and right middle lobes) two days prior to treatment (I) showing significant progression at 13 days follow up (II). III-IV: Axial images in a patient treated with Foralumab/Dexa showing both widespread ground glass opacity in the anterior and posterior segments and consolidation in both lower lobes (III) demonstrating partial resolution on the 13 follow up day scan (IV). V-VI: Axial images in a patient who received Foralumab showing ground glass opacity of posterior segments of lungs (V) demonstrating interval resolution on 13 follow up day scan (VI). Dexa, dexamethasone.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-709861-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Intravenous anti-CD3 monoclonal antibody has been used to treat graft rejection (<xref ref-type="bibr" rid="B37">37</xref>) and is being investigated in type 1 diabetes (<xref ref-type="bibr" rid="B38">38</xref>). Intravenous anti-CD3 modulates CD3 from the T cell surface and causes a reduction of lymphocytes whereas mucosal (nasal and oral) anti-CD3 acts by inducing regulatory T cells at the mucosal surface that then act systemically (<xref ref-type="bibr" rid="B39">39</xref>). In animal studies no reduction in lymphocytes has been observed following nasal anti-CD3 (<xref ref-type="bibr" rid="B40">40</xref>). Consistent with this, no reduction in lymphocyte counts was observed in COVID-19 patients treated with 100&#x3bc;g nasal anti-CD3 for 10 days or in healthy volunteers treated with 250&#x3bc;g Foralumab for 5 consecutive days (unpublished). In our study, no significant adverse events were observed and treatment with Foralumab was generally well tolerated.</p>
<p>As this was an open label exploratory clinical study, it was not specifically powered for statistical analysis and the major limitations of the study are its small size and the over the counter use of corticosteroids.</p>
<p>Systemic corticosteroids are commonly used to treat COVID-19 patients who are hospitalized and have decreased oxygen saturation and international guidelines recommend moderate doses of dexamethasone for a short period of time when hemodynamic parameters are compromised (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B41">41</xref>). The use of corticosteroid treatment for noncritically ill is controversial (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>In this pilot trial, we tested the effect of Foralumab alone <italic>vs</italic>. Foralumab given with a three-day course of dexamethasone. Foralumab/Dexa appeared to be more effective in improving lung inflammation than Foralumab alone. Foralumab alone was more effective than Foralumab/Dexa and controls in decreasing inflammatory blood markers at day 10 as measured in a three group comparison.</p>
<p>Given the anti-inflammatory effects of Foralumab and the positive safety profile of Foralumab treated COVID-19 patients, further studies are warranted. Of particular interest would be the degree to which nasal Foralumab might benefit hospitalized subjects with more severe disease. In addition, since it can easily be administered as an outpatient, it could be used on non-hospitalized subjects with COVID-19 and may be of benefit to speed recovery and prevent disease worsening and hospitalization. Because the anti-inflammatory effect of the nasally administered Foralumab is through the modulation of the immune system and not by directly targeting COVID-19, if effective, it would be expected to be useful for newly identified COVID-19 variants and could be given in combination with other drugs.</p>
<p>Immunomodulatory agents that enhance regulatory immune responses are believed to play an important role in modulating disease in patients with COVID-19 by suppressing hyperreactive immune responses (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B43">43</xref>). In animals, we have shown that nasal anti-CD3 modulates the immune response by inducing IL-10-producing Tregs (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>) without the occurrence of potential adverse events associated with parenteral anti-CD3 therapy (<xref ref-type="bibr" rid="B39">39</xref>). Although we hypothesize that the effect of nasal Foralumab in COVID-19 patients is related to the induction of Tregs, Treg function was not measured in the current study.</p>
<p>In summary, although we found positive effects of nasal Foralumab as measured by decreases in IL-6 and CRP and improvement on lung CT scans in mild to moderate COVID-19 patients, our results must be taken with caution and we cannot conclude that nasal Foralumab has a beneficial effect in COVID-19 until larger studies are performed. Nonetheless, our results have identified a novel immunomodulatory therapy that potentially could have a significant benefit in patients suffering from COVID-19.</p>
</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/supplementary material. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Universidade Metropolitana de Santos &#x2013; UNIMES (CAAE: 38056120.1.0000.5509). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>TM designed the study, led and monitored this clinical study, and wrote the manuscript. KM designed the study, clinically monitored the study, and performed Lung CT analysis. GD and TS recruited patients, performed clinical exams, registered drug intake and medical past history. RGD, monitored the study and helped collect BMI data. FP and AC supported patient recruitment. MS performed biomarkers assays. CMB-A participated in drug development. GK performed serum and plasma collection. JJ and VP performed drug stability assays. SI and KC performed Lung CT scan analysis. BH performed statistical analysis. RR designed the study and reviewed manuscript. RAD helped supervise the study at Santa Casa de Santos Hospital. KS helped design the study and reviewed the manuscript. HW designed the study and helped write the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>JJ, VP and KS are employees of Tiziana, Life Sciences. HW is chair of the Scientific Advisory Board of Tiziana and received consulting fees and stock options from the company. TM and KM received consulting fees from the company.</p>
<p>
The remaining 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="s9" 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 all patients that voluntarily participated in this study. Special thanks to the nursing team: Joao Neto, Fernanda Santos, Bianca Gobbo, Cristiane Souza and Gabriel do Nascimento for their dedicated and hard work. We thank Rodrigo Morrone from S&#x2019;agapo Laboratory for his technical help and support. We thank Davide Mangani, Sandro Perazzio and Carolina Lazari for their scientific input in the clinical study. We thank the clinical monitors and coordinators from Intrials team. We thank Neil Graham for reviewing the manuscript.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jones</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>How COVID-19 is Changing the Cold and Flu Season</article-title>. <source>Nature</source> (<year>2020</year>) <volume>588</volume>(<issue>7838</issue>):<page-range>388&#x2013;90</page-range>. doi: <pub-id pub-id-type="doi">10.1038/d41586-020-03519-3</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Durrheim</surname> <given-names>DN</given-names>
</name>
<name>
<surname>Baker</surname> <given-names>MG</given-names>
</name>
</person-group>. <article-title>COVID-19-a Very Visible Pandemic</article-title>. <source>Lancet</source> (<year>2020</year>) <volume>396</volume>(<issue>10248</issue>):<fpage>e17</fpage>. doi: <pub-id pub-id-type="doi">10.1016/S0140-6736(20)31675-5</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yin</surname> <given-names>W</given-names>
</name>
<name>
<surname>Mao</surname> <given-names>C</given-names>
</name>
<name>
<surname>Luan</surname> <given-names>X</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>DD</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Su</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Structural Basis for Inhibition of the RNA-Dependent RNA Polymerase From SARS-CoV-2 by Remdesivir</article-title>. <source>Science</source> (<year>2020</year>) <volume>368</volume>(<issue>6498</issue>):<page-range>1499&#x2013;504</page-range>. doi: <pub-id pub-id-type="doi">10.1126/science.abc1560</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Carmona-Bayonas</surname> <given-names>A</given-names>
</name>
<name>
<surname>Jimenez-Fonseca</surname> <given-names>P</given-names>
</name>
<name>
<surname>Castanon</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>A Trial of Lopinavir-Ritonavir in Covid-19</article-title>. <source>N Engl J Med</source> (<year>2020</year>) <volume>382</volume>(<issue>21</issue>):<fpage>e68</fpage>. doi: <pub-id pub-id-type="doi">10.1056/NEJMc2008043</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stower</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>Lopinavir-Ritonavir in Severe COVID-19</article-title>. <source>Nat Med</source> (<year>2020</year>) <volume>26</volume>(<issue>4</issue>):<fpage>465</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41591-020-0849-9</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ledford</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>Coronavirus Breakthrough: Dexamethasone is First Drug Shown to Save Lives</article-title>. <source>Nature</source> (<year>2020</year>) <volume>582</volume>(<issue>7813</issue>):<fpage>469</fpage>. doi: <pub-id pub-id-type="doi">10.1038/d41586-020-01824-5</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tomazini</surname> <given-names>BM</given-names>
</name>
<name>
<surname>Maia</surname> <given-names>IS</given-names>
</name>
<name>
<surname>Cavalcanti</surname> <given-names>AB</given-names>
</name>
<name>
<surname>Berwanger</surname> <given-names>O</given-names>
</name>
<name>
<surname>Rosa</surname> <given-names>RG</given-names>
</name>
<name>
<surname>Veiga</surname> <given-names>VC</given-names>
</name>
<etal/>
</person-group>. <article-title>Effect of Dexamethasone on Days Alive and Ventilator-Free in Patients With Moderate or Severe Acute Respiratory Distress Syndrome and COVID-19: The CoDEX Randomized Clinical Trial</article-title>. <source>JAMA</source> (<year>2020</year>) <volume>324</volume>(<issue>13</issue>):<page-range>1307&#x2013;16</page-range>. doi: <pub-id pub-id-type="doi">10.1001/jama.2020.17021</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Joyner</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wright</surname> <given-names>RS</given-names>
</name>
<name>
<surname>Fairweather</surname> <given-names>D</given-names>
</name>
<name>
<surname>Senefeld</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bruno</surname> <given-names>K</given-names>
</name>
<name>
<surname>Klassen</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Early Safety Indicators of COVID-19 Convalescent Plasma in 5,000 Patients</article-title>. <source>J&#xa0;Clin Invest</source> (<year>2020</year>) <volume>130</volume>(<issue>9</issue>):<page-range>4791&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.1172/JCI140200</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yigenoglu</surname> <given-names>TN</given-names>
</name>
<name>
<surname>Hacibekiroglu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Berber</surname> <given-names>I</given-names>
</name>
<name>
<surname>Dal</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Basturk</surname> <given-names>A</given-names>
</name>
<name>
<surname>Namdaroglu</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Convalescent Plasma Therapy in Patients With COVID-19</article-title>. <source>J Clin Apher</source> (<year>2020</year>) <volume>35</volume>:<page-range>367&#x2013;73</page-range>. doi: <pub-id pub-id-type="doi">10.1002/jca.21806</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Scoppetta</surname> <given-names>C</given-names>
</name>
<name>
<surname>Di Gennaro</surname> <given-names>G</given-names>
</name>
<name>
<surname>Polverino</surname> <given-names>F</given-names>
</name>
</person-group>. <article-title>Editorial - High Dose Intravenous Immunoglobulins as a Therapeutic Option for COVID-19 Patients</article-title>. <source>Eur Rev Med Pharmacol Sci</source> (<year>2020</year>) <volume>24</volume>(<issue>9</issue>):<page-range>5178&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.26355/eurrev_202005_21214</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Saghazadeh</surname> <given-names>A</given-names>
</name>
<name>
<surname>Rezaei</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Towards Treatment Planning of COVID-19: Rationale and Hypothesis for the Use of Multiple Immunosuppressive Agents: Anti-Antibodies, Immunoglobulins, and Corticosteroids</article-title>. <source>Int Immunopharmacol</source> (<year>2020</year>) <volume>84</volume>:<fpage>106560</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.intimp.2020.106560</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Investigators</surname> <given-names>R-C</given-names>
</name>
<name>
<surname>Gordon</surname> <given-names>AC</given-names>
</name>
<name>
<surname>Mouncey</surname> <given-names>PR</given-names>
</name>
<name>
<surname>Al-Beidh</surname> <given-names>F</given-names>
</name>
<name>
<surname>Rowan</surname> <given-names>KM</given-names>
</name>
<name>
<surname>Nichol</surname> <given-names>AD</given-names>
</name>
<etal/>
</person-group>. <article-title>Interleukin-6 Receptor Antagonists in Critically Ill Patients With Covid-19</article-title>. <source>N Engl J Med</source> (<year>2021</year>) <volume>384</volume>:<page-range>1491&#x2013;502</page-range>. doi: <pub-id pub-id-type="doi">10.1056/NEJMoa2100433</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Salama</surname> <given-names>C</given-names>
</name>
<name>
<surname>Han</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yau</surname> <given-names>L</given-names>
</name>
<name>
<surname>Reiss</surname> <given-names>WG</given-names>
</name>
<name>
<surname>Kramer</surname> <given-names>B</given-names>
</name>
<name>
<surname>Neidhart</surname> <given-names>JD</given-names>
</name>
<etal/>
</person-group>. <article-title>Tocilizumab in Patients Hospitalized With Covid-19 Pneumonia</article-title>. <source>N Engl J Med</source> (<year>2021</year>) <volume>384</volume>(<issue>1</issue>):<fpage>20</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1056/NEJMoa2030340</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Salvarani</surname> <given-names>C</given-names>
</name>
<name>
<surname>Dolci</surname> <given-names>G</given-names>
</name>
<name>
<surname>Massari</surname> <given-names>M</given-names>
</name>
<name>
<surname>Merlo</surname> <given-names>DF</given-names>
</name>
<name>
<surname>Cavuto</surname> <given-names>S</given-names>
</name>
<name>
<surname>Savoldi</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Effect of Tocilizumab <italic>vs</italic> Standard Care on Clinical Worsening in Patients Hospitalized With COVID-19 Pneumonia: A Randomized Clinical Trial</article-title>. <source>JAMA Intern Med</source> (<year>2021</year>) <volume>181</volume>(<issue>1</issue>):<fpage>24</fpage>&#x2013;<lpage>31</lpage>. doi: <pub-id pub-id-type="doi">10.1001/jamainternmed.2021.0404</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vabret</surname> <given-names>N</given-names>
</name>
<name>
<surname>Britton</surname> <given-names>GJ</given-names>
</name>
<name>
<surname>Gruber</surname> <given-names>C</given-names>
</name>
<name>
<surname>Hegde</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kuksin</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Immunology of COVID-19: Current State of the Science</article-title>. <source>Immunity</source> (<year>2020</year>) <volume>52</volume>(<issue>6</issue>):<page-range>910&#x2013;41</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.immuni.2020.05.002</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mangalmurti</surname> <given-names>N</given-names>
</name>
<name>
<surname>Hunter</surname> <given-names>CA</given-names>
</name>
</person-group>. <article-title>Cytokine Storms: Understanding COVID-19</article-title>. <source>Immunity</source> (<year>2020</year>) <volume>53</volume>(<issue>1</issue>):<fpage>19</fpage>&#x2013;<lpage>25</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.immuni.2020.06.017</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mehta</surname> <given-names>P</given-names>
</name>
<name>
<surname>McAuley</surname> <given-names>DF</given-names>
</name>
<name>
<surname>Brown</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sanchez</surname> <given-names>E</given-names>
</name>
<name>
<surname>Tattersall</surname> <given-names>RS</given-names>
</name>
<name>
<surname>Manson</surname> <given-names>JJ</given-names>
</name>
<etal/>
</person-group>. <article-title>COVID-19: Consider Cytokine Storm Syndromes and Immunosuppression</article-title>. <source>Lancet</source> (<year>2020</year>) <volume>395</volume>(<issue>10229</issue>):<page-range>1033&#x2013;4</page-range>. doi: <pub-id pub-id-type="doi">10.1016/S0140-6736(20)30628-0</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Meckiff</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Ramirez-Suastegui</surname> <given-names>C</given-names>
</name>
<name>
<surname>Fajardo</surname> <given-names>V</given-names>
</name>
<name>
<surname>Chee</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Kusnadi</surname> <given-names>A</given-names>
</name>
<name>
<surname>Simon</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Imbalance of Regulatory and Cytotoxic SARS-CoV-2-Reactive CD4(+) T Cells in COVID-19</article-title>. <source>Cell</source> (<year>2020</year>) <volume>183</volume>(<issue>5</issue>):<fpage>1340</fpage>&#x2013;<lpage>53 e16</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cell.2020.10.001</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Anghelina</surname> <given-names>D</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Trandem</surname> <given-names>K</given-names>
</name>
<name>
<surname>Perlman</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Role of Regulatory T Cells in Coronavirus-Induced Acute Encephalitis</article-title>. <source>Virology</source> (<year>2009</year>) <volume>385</volume>(<issue>2</issue>):<page-range>358&#x2013;67</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.virol.2008.12.014</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jarjour</surname> <given-names>NN</given-names>
</name>
<name>
<surname>Masopust</surname> <given-names>D</given-names>
</name>
<name>
<surname>Jameson</surname> <given-names>SC</given-names>
</name>
</person-group>. <article-title>T Cell Memory: Understanding COVID-19</article-title>. <source>Immunity</source> (<year>2021</year>) <volume>54</volume>(<issue>1</issue>):<page-range>14&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.immuni.2020.12.009</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bacher</surname> <given-names>P</given-names>
</name>
<name>
<surname>Rosati</surname> <given-names>E</given-names>
</name>
<name>
<surname>Esser</surname> <given-names>D</given-names>
</name>
<name>
<surname>Martini</surname> <given-names>GR</given-names>
</name>
<name>
<surname>Saggau</surname> <given-names>C</given-names>
</name>
<name>
<surname>Schiminsky</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Low-Avidity CD4(+) T Cell Responses to SARS-CoV-2 in Unexposed Individuals and Humans With Severe COVID-19</article-title>. <source>Immunity</source> (<year>2020</year>) <volume>53</volume>(<issue>6</issue>):<fpage>1258</fpage>&#x2013;<lpage>71 e5</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.immuni.2020.11.016</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ferretti</surname> <given-names>AP</given-names>
</name>
<name>
<surname>Kula</surname> <given-names>T</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Nguyen</surname> <given-names>DMV</given-names>
</name>
<name>
<surname>Weinheimer</surname> <given-names>A</given-names>
</name>
<name>
<surname>Dunlap</surname> <given-names>GS</given-names>
</name>
<etal/>
</person-group>. <article-title>Unbiased Screens Show CD8(+) T Cells of COVID-19 Patients Recognize Shared Epitopes in SARS-CoV-2 That Largely Reside Outside the Spike Protein</article-title>. <source>Immunity</source> (<year>2020</year>) <volume>53</volume>(<issue>5</issue>):<fpage>1095</fpage>&#x2013;<lpage>107 e3</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.immuni.2020.10.006</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sakaguchi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Sakaguchi</surname> <given-names>N</given-names>
</name>
<name>
<surname>Asano</surname> <given-names>M</given-names>
</name>
<name>
<surname>Itoh</surname> <given-names>M</given-names>
</name>
<name>
<surname>Toda</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Immunologic Self-Tolerance Maintained by Activated T Cells Expressing IL-2 Receptor Alpha-Chains (CD25). Breakdown of a Single Mechanism of Self-Tolerance Causes Various Autoimmune Diseases</article-title>. <source>J Immunol</source> (<year>1995</year>) <volume>155</volume>(<issue>3</issue>):<page-range>1151&#x2013;64</page-range>.</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fujimura</surname> <given-names>T</given-names>
</name>
<name>
<surname>Yonekura</surname> <given-names>S</given-names>
</name>
<name>
<surname>Taniguchi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Horiguchi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Saito</surname> <given-names>A</given-names>
</name>
<name>
<surname>Yasueda</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>The Induced Regulatory T Cell Level, Defined as the Proportion of IL-10(+)Foxp3(+) Cells Among CD25(+)CD4(+) Leukocytes, is a Potential Therapeutic Biomarker for Sublingual Immunotherapy: A Preliminary Report</article-title>. <source>Int Arch Allergy Immunol</source> (<year>2010</year>) <volume>153</volume>(<issue>4</issue>):<page-range>378&#x2013;87</page-range>. doi: <pub-id pub-id-type="doi">10.1159/000316349</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>da Cunha</surname> <given-names>AP</given-names>
</name>
<name>
<surname>Weiner</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>Induction of Immunological Tolerance by Oral Anti-CD3</article-title>. <source>Clin Dev Immunol</source> (<year>2012</year>) <volume>2012</volume>:<fpage>425021</fpage>. doi: <pub-id pub-id-type="doi">10.1155/2012/425021</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>HY</given-names>
</name>
<name>
<surname>Maron</surname> <given-names>R</given-names>
</name>
<name>
<surname>Tukpah</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Weiner</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>Mucosal Anti-CD3 Monoclonal Antibody Attenuates Collagen-Induced Arthritis That is Associated With Induction of LAP+ Regulatory T Cells and is Enhanced by Administration of an Emulsome-Based Th2-Skewing Adjuvant</article-title>. <source>J Immunol</source> (<year>2010</year>) <volume>185</volume>(<issue>6</issue>):<page-range>3401&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.4049/jimmunol.1000836</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bresson</surname> <given-names>D</given-names>
</name>
<name>
<surname>Togher</surname> <given-names>L</given-names>
</name>
<name>
<surname>Rodrigo</surname> <given-names>E</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Bluestone</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Herold</surname> <given-names>KC</given-names>
</name>
<etal/>
</person-group>. <article-title>Anti-CD3 and Nasal Proinsulin Combination Therapy Enhances Remission From Recent-Onset Autoimmune Diabetes by Inducing Tregs</article-title>. <source>J Clin Invest</source> (<year>2006</year>) <volume>116</volume>(<issue>5</issue>):<page-range>1371&#x2013;81</page-range>. doi: <pub-id pub-id-type="doi">10.1172/JCI27191</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mayo</surname> <given-names>L</given-names>
</name>
<name>
<surname>Cunha</surname> <given-names>AP</given-names>
</name>
<name>
<surname>Madi</surname> <given-names>A</given-names>
</name>
<name>
<surname>Beynon</surname> <given-names>V</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Alvarez</surname> <given-names>JI</given-names>
</name>
<etal/>
</person-group>. <article-title>IL-10-Dependent Tr1 Cells Attenuate Astrocyte Activation and Ameliorate Chronic Central Nervous System Inflammation</article-title>. <source>Brain</source> (<year>2016</year>) <volume>139</volume>(<issue>Pt 7</issue>):<page-range>1939&#x2013;57</page-range>. doi: <pub-id pub-id-type="doi">10.1093/brain/aww113</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>HY</given-names>
</name>
<name>
<surname>Center</surname> <given-names>EM</given-names>
</name>
<name>
<surname>Tsokos</surname> <given-names>GC</given-names>
</name>
<name>
<surname>Weiner</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>Suppression of Murine SLE by Oral Anti-CD3: Inducible CD4+CD25-LAP+ Regulatory T Cells Control the Expansion of IL-17+ Follicular Helper T Cells</article-title>. <source>Lupus</source> (<year>2009</year>) <volume>18</volume>(<issue>7</issue>):<page-range>586&#x2013;96</page-range>. doi: <pub-id pub-id-type="doi">10.1177/0961203308100511</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>van der Woude</surname> <given-names>CJ</given-names>
</name>
<name>
<surname>Stokkers</surname> <given-names>P</given-names>
</name>
<name>
<surname>van Bodegraven</surname> <given-names>AA</given-names>
</name>
<name>
<surname>Van Assche</surname> <given-names>G</given-names>
</name>
<name>
<surname>Hebzda</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Paradowski</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Double-Blind, Randomized, Placebo-Controlled, Dose-Escalation Study of NI-0401 (a Fully Human Anti-CD3 Monoclonal Antibody) in Patients With Moderate to Severe Active Crohn's Disease</article-title>. <source>Inflammation Bowel Dis</source> (<year>2010</year>) <volume>16</volume>(<issue>10</issue>):<page-range>1708&#x2013;16</page-range>. doi: <pub-id pub-id-type="doi">10.1002/ibd.21252</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Izzy</surname> <given-names>S</given-names>
</name>
<name>
<surname>Tahir</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Cote</surname> <given-names>DJ</given-names>
</name>
<name>
<surname>Al Jarrah</surname> <given-names>A</given-names>
</name>
<name>
<surname>Roberts</surname> <given-names>MB</given-names>
</name>
<name>
<surname>Turbett</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Characteristics and Outcomes of Latinx Patients With COVID-19 in Comparison With Other Ethnic and Racial Groups</article-title>. <source>Open Forum Infect Dis</source> (<year>2020</year>) <volume>7</volume>(<issue>10</issue>):<fpage>ofaa401</fpage>. doi: <pub-id pub-id-type="doi">10.1093/ofid/ofaa401</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Herold</surname> <given-names>T</given-names>
</name>
<name>
<surname>Jurinovic</surname> <given-names>V</given-names>
</name>
<name>
<surname>Arnreich</surname> <given-names>C</given-names>
</name>
<name>
<surname>Lipworth</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Hellmuth</surname> <given-names>JC</given-names>
</name>
<name>
<surname>von Bergwelt-Baildon</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Elevated Levels of IL-6 and CRP Predict the Need for Mechanical Ventilation in COVID-19</article-title>. <source>J Allergy Clin Immunol</source> (<year>2020</year>) <volume>146</volume>(<issue>1</issue>):<fpage>128</fpage>&#x2013;<lpage>36 e4</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jaci.2020.05.008</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ali</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Elevated Level of C-Reactive Protein may be an Early Marker to Predict Risk for Severity of COVID-19</article-title>. <source>J Med Virol</source> (<year>2020</year>) <volume>92</volume>(<issue>11</issue>):<page-range>2409&#x2013;11</page-range>. doi: <pub-id pub-id-type="doi">10.1002/jmv.26097</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Luo</surname> <given-names>M</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Yue</surname> <given-names>S</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>IL-6 and CD8+ T Cell Counts Combined are an Early Predictor of in-Hospital Mortality of Patients With COVID-19</article-title>. <source>JCI Insight</source> (<year>2020</year>) <volume>5</volume>(<issue>13</issue>):<fpage>e139024</fpage>. doi: <pub-id pub-id-type="doi">10.1172/jci.insight.139024</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Leaf</surname> <given-names>DE</given-names>
</name>
<name>
<surname>Gupta</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>W</given-names>
</name>
</person-group>. <article-title>Tocilizumab in Covid-19</article-title>. <source>N Engl J Med</source> (<year>2021</year>) <volume>384</volume>(<issue>1</issue>):<page-range>86&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.1056/NEJMc2032911</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tsai</surname> <given-names>A</given-names>
</name>
<name>
<surname>Diawara</surname> <given-names>O</given-names>
</name>
<name>
<surname>Nahass</surname> <given-names>RG</given-names>
</name>
<name>
<surname>Brunetti</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Impact of Tocilizumab Administration on Mortality in Severe COVID-19</article-title>. <source>Sci Rep</source> (<year>2020</year>) <volume>10</volume>(<issue>1</issue>):<fpage>19131</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-020-76187-y</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ogura</surname> <given-names>M</given-names>
</name>
<name>
<surname>Deng</surname> <given-names>S</given-names>
</name>
<name>
<surname>Preston-Hurlburt</surname> <given-names>P</given-names>
</name>
<name>
<surname>Ogura</surname> <given-names>H</given-names>
</name>
<name>
<surname>Shailubhai</surname> <given-names>K</given-names>
</name>
<name>
<surname>Kuhn</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Oral Treatment With Foralumab, a Fully Human Anti-CD3 Monoclonal Antibody, Prevents Skin Xenograft Rejection in Humanized Mice</article-title>. <source>Clin Immunol</source> (<year>2017</year>) <volume>183</volume>:<page-range>240&#x2013;6</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.clim.2017.07.005</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Herold</surname> <given-names>KC</given-names>
</name>
<name>
<surname>Bundy</surname> <given-names>BN</given-names>
</name>
<name>
<surname>Long</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Bluestone</surname> <given-names>JA</given-names>
</name>
<name>
<surname>DiMeglio</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Dufort</surname> <given-names>MJ</given-names>
</name>
<etal/>
</person-group>. <article-title>An Anti-CD3 Antibody, Teplizumab, in Relatives at Risk for Type 1 Diabetes</article-title>. <source>N Engl J Med</source> (<year>2019</year>) <volume>381</volume>(<issue>7</issue>):<page-range>603&#x2013;13</page-range>. doi: <pub-id pub-id-type="doi">10.1056/NEJMoa1902226</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kuhn</surname> <given-names>C</given-names>
</name>
<name>
<surname>Weiner</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>Therapeutic Anti-CD3 Monoclonal Antibodies: From Bench to Bedside</article-title>. <source>Immunotherapy</source> (<year>2016</year>) <volume>8</volume>(<issue>8</issue>):<fpage>889</fpage>&#x2013;<lpage>906</lpage>. doi: <pub-id pub-id-type="doi">10.2217/imt-2016-0049</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>HY</given-names>
</name>
<name>
<surname>Quintana</surname> <given-names>FJ</given-names>
</name>
<name>
<surname>Weiner</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>Nasal Anti-CD3 Antibody Ameliorates Lupus by Inducing an IL-10-Secreting CD4+ CD25- LAP+ Regulatory T Cell and is Associated With Down-Regulation of IL-17+ CD4+ ICOS+ CXCR5+ Follicular Helper T Cells</article-title>. <source>J Immunol</source> (<year>2008</year>) <volume>181</volume>(<issue>9</issue>):<page-range>6038&#x2013;50</page-range>. doi: <pub-id pub-id-type="doi">10.4049/jimmunol.181.9.6038</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Group</surname> <given-names>RC</given-names>
</name>
<name>
<surname>Horby</surname> <given-names>P</given-names>
</name>
<name>
<surname>Lim</surname> <given-names>WS</given-names>
</name>
<name>
<surname>Emberson</surname> <given-names>JR</given-names>
</name>
<name>
<surname>Mafham</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bell</surname> <given-names>JL</given-names>
</name>
<etal/>
</person-group>. <article-title>Dexamethasone in Hospitalized Patients With Covid-19</article-title>. <source>N Engl J Med</source> (<year>2021</year>) <volume>384</volume>(<issue>8</issue>):<fpage>693</fpage>&#x2013;<lpage>704</lpage>. doi: <pub-id pub-id-type="doi">10.1056/NEJMoa2021436</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shuto</surname> <given-names>H</given-names>
</name>
<name>
<surname>Komiya</surname> <given-names>K</given-names>
</name>
<name>
<surname>Yamasue</surname> <given-names>M</given-names>
</name>
<name>
<surname>Uchida</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ogura</surname> <given-names>T</given-names>
</name>
<name>
<surname>Mukae</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>A Systematic Review of Corticosteroid Treatment for Noncritically Ill Patients With COVID-19</article-title>. <source>Sci Rep</source> (<year>2020</year>) <volume>10</volume>(<issue>1</issue>):<fpage>20935</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-020-78054-2</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Karlsson</surname> <given-names>AC</given-names>
</name>
<name>
<surname>Humbert</surname> <given-names>M</given-names>
</name>
<name>
<surname>Buggert</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>The Known Unknowns of T Cell Immunity to COVID-19</article-title>. <source>Sci Immunol</source> (<year>2020</year>) <volume>5</volume>(<issue>53</issue>):<fpage>eabe8063</fpage>. doi: <pub-id pub-id-type="doi">10.1126/sciimmunol.abe8063</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>