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      Therapeutic trials for long COVID-19: A call to action from the interventions taskforce of the RECOVER initiative

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          Abstract

          Although most individuals recover from acute SARS-CoV-2 infection, a significant number continue to suffer from Post-Acute Sequelae of SARS-CoV-2 (PASC), including the unexplained symptoms that are frequently referred to as long COVID, which could last for weeks, months, or even years after the acute phase of illness. The National Institutes of Health is currently funding large multi-center research programs as part of its Researching COVID to Enhance Recover (RECOVER) initiative to understand why some individuals do not recover fully from COVID-19. Several ongoing pathobiology studies have provided clues to potential mechanisms contributing to this condition. These include persistence of SARS-CoV-2 antigen and/or genetic material, immune dysregulation, reactivation of other latent viral infections, microvascular dysfunction, and gut dysbiosis, among others. Although our understanding of the causes of long COVID remains incomplete, these early pathophysiologic studies suggest biological pathways that could be targeted in therapeutic trials that aim to ameliorate symptoms. Repurposed medicines and novel therapeutics deserve formal testing in clinical trial settings prior to adoption. While we endorse clinical trials, especially those that prioritize inclusion of the diverse populations most affected by COVID-19 and long COVID, we discourage off-label experimentation in uncontrolled and/or unsupervised settings. Here, we review ongoing, planned, and potential future therapeutic interventions for long COVID based on the current understanding of the pathobiological processes underlying this condition. We focus on clinical, pharmacological, and feasibility data, with the goal of informing future interventional research studies.

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          Dexamethasone in Hospitalized Patients with Covid-19 — Preliminary Report

          Abstract Background Coronavirus disease 2019 (Covid-19) is associated with diffuse lung damage. Glucocorticoids may modulate inflammation-mediated lung injury and thereby reduce progression to respiratory failure and death. Methods In this controlled, open-label trial comparing a range of possible treatments in patients who were hospitalized with Covid-19, we randomly assigned patients to receive oral or intravenous dexamethasone (at a dose of 6 mg once daily) for up to 10 days or to receive usual care alone. The primary outcome was 28-day mortality. Here, we report the preliminary results of this comparison. Results A total of 2104 patients were assigned to receive dexamethasone and 4321 to receive usual care. Overall, 482 patients (22.9%) in the dexamethasone group and 1110 patients (25.7%) in the usual care group died within 28 days after randomization (age-adjusted rate ratio, 0.83; 95% confidence interval [CI], 0.75 to 0.93; P<0.001). The proportional and absolute between-group differences in mortality varied considerably according to the level of respiratory support that the patients were receiving at the time of randomization. In the dexamethasone group, the incidence of death was lower than that in the usual care group among patients receiving invasive mechanical ventilation (29.3% vs. 41.4%; rate ratio, 0.64; 95% CI, 0.51 to 0.81) and among those receiving oxygen without invasive mechanical ventilation (23.3% vs. 26.2%; rate ratio, 0.82; 95% CI, 0.72 to 0.94) but not among those who were receiving no respiratory support at randomization (17.8% vs. 14.0%; rate ratio, 1.19; 95% CI, 0.91 to 1.55). Conclusions In patients hospitalized with Covid-19, the use of dexamethasone resulted in lower 28-day mortality among those who were receiving either invasive mechanical ventilation or oxygen alone at randomization but not among those receiving no respiratory support. (Funded by the Medical Research Council and National Institute for Health Research and others; RECOVERY ClinicalTrials.gov number, NCT04381936; ISRCTN number, 50189673.)
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            Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine

            Abstract Background Vaccines are needed to prevent coronavirus disease 2019 (Covid-19) and to protect persons who are at high risk for complications. The mRNA-1273 vaccine is a lipid nanoparticle–encapsulated mRNA-based vaccine that encodes the prefusion stabilized full-length spike protein of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes Covid-19. Methods This phase 3 randomized, observer-blinded, placebo-controlled trial was conducted at 99 centers across the United States. Persons at high risk for SARS-CoV-2 infection or its complications were randomly assigned in a 1:1 ratio to receive two intramuscular injections of mRNA-1273 (100 μg) or placebo 28 days apart. The primary end point was prevention of Covid-19 illness with onset at least 14 days after the second injection in participants who had not previously been infected with SARS-CoV-2. Results The trial enrolled 30,420 volunteers who were randomly assigned in a 1:1 ratio to receive either vaccine or placebo (15,210 participants in each group). More than 96% of participants received both injections, and 2.2% had evidence (serologic, virologic, or both) of SARS-CoV-2 infection at baseline. Symptomatic Covid-19 illness was confirmed in 185 participants in the placebo group (56.5 per 1000 person-years; 95% confidence interval [CI], 48.7 to 65.3) and in 11 participants in the mRNA-1273 group (3.3 per 1000 person-years; 95% CI, 1.7 to 6.0); vaccine efficacy was 94.1% (95% CI, 89.3 to 96.8%; P<0.001). Efficacy was similar across key secondary analyses, including assessment 14 days after the first dose, analyses that included participants who had evidence of SARS-CoV-2 infection at baseline, and analyses in participants 65 years of age or older. Severe Covid-19 occurred in 30 participants, with one fatality; all 30 were in the placebo group. Moderate, transient reactogenicity after vaccination occurred more frequently in the mRNA-1273 group. Serious adverse events were rare, and the incidence was similar in the two groups. Conclusions The mRNA-1273 vaccine showed 94.1% efficacy at preventing Covid-19 illness, including severe disease. Aside from transient local and systemic reactions, no safety concerns were identified. (Funded by the Biomedical Advanced Research and Development Authority and the National Institute of Allergy and Infectious Diseases; COVE ClinicalTrials.gov number, NCT04470427.)
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              Longitudinal analyses reveal immunological misfiring in severe COVID-19

              Recent studies have provided insights into the pathogenesis of coronavirus disease 2019 (COVID-19) 1–4 . However, the longitudinal immunological correlates of disease outcome remain unclear. Here we serially analysed immune responses in 113 patients with moderate or severe COVID-19. Immune profiling revealed an overall increase in innate cell lineages, with a concomitant reduction in T cell number. An early elevation in cytokine levels was associated with worse disease outcomes. Following an early increase in cytokines, patients with moderate COVID-19 displayed a progressive reduction in type 1 (antiviral) and type 3 (antifungal) responses. By contrast, patients with severe COVID-19 maintained these elevated responses throughout the course of the disease. Moreover, severe COVID-19 was accompanied by an increase in multiple type 2 (anti-helminths) effectors, including interleukin-5 (IL-5), IL-13, immunoglobulin E and eosinophils. Unsupervised clustering analysis identified four immune signatures, representing growth factors (A), type-2/3 cytokines (B), mixed type-1/2/3 cytokines (C), and chemokines (D) that correlated with three distinct disease trajectories. The immune profiles of patients who recovered from moderate COVID-19 were enriched in tissue reparative growth factor signature A, whereas the profiles of those with who developed severe disease had elevated levels of all four signatures. Thus, we have identified a maladapted immune response profile associated with severe COVID-19 and poor clinical outcome, as well as early immune signatures that correlate with divergent disease trajectories.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                09 March 2023
                2023
                09 March 2023
                : 14
                : 1129459
                Affiliations
                [1] 1 Department of Medicine and Infectious Diseases, Stanford University , Palo Alto, CA, United States
                [2] 2 Department of Medicine and Infectious Diseases, University of California, San Francisco , San Francisco, CA, United States
                [3] 3 Center for Innovations in Brain Science, University of Arizona , Tucson, AZ, United States
                [4] 4 Department of Medicine, Infectious Diseases, Icahn School of Medicine at Mount Sinai, Chief, Division of Infectious Disease , New York, NY, United States
                [5] 5 Department of Medicine, Infectious Diseases, The University of Texas Health Science Center at San Antonio , San Antonio, TX, United States
                [6] 6 Division of Intramural Research, National Institute of Health , Bethesda, MD, United States
                [7] 7 National Heart Lung and Blood Institute, Division of Lung Diseases, National Institutes of Health , Bethesda, MD, United States
                [8] 8 Department of Medicine, Organ Transplant and Liver Center, Swedish Medical Center , Seattle, WA, United States
                [9] 9 Division of Allergy and Infectious Diseases, University of Washington , Seattle, WA, United States
                [10] 10 Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine , Atlanta, GA, United States
                [11] 11 Department of Clinical Pharmacy, University of California, San Francisco , San Francisco, CA, United States
                [12] 12 Department of Rehabilitation Medicine at New York University (NYU) Grossman School of Medicine, Physical Medicine and Rehabilitation Service, New York University (NYU), New York University Medical Center , New York, NY, United States
                [13] 13 Applied Clinical Informatics Branch, National Library of Medicine, National Institutes of Health , Bethesda, MD, United States
                [14] 14 Department of Medicine at Harvard Medical School, Division of Infectious Disease , Boston, MA, United States
                [15] 15 Research Triangle Institute (RTI), International , Durham, NC, United States
                [16] 16 Department of Obstetrics and Gynecology, The Ohio State University , Columbus, OH, United States
                [17] 17 Long COVID Families , Houston, TX, United States
                [18] 18 Utah Covid-19 Long Haulers, Salt Lake City , UT, United States
                [19] 19 Department of Medicine, University of Illinois at Chicago , Chicago, IL, United States
                [20] 20 Department of Medicine, Albert Einstein College of Medicine , New York, NY, United States
                [21] 21 Department of Pediatrics, Keck School of Medicine, University of Southern California , Los Angeles, CA, United States
                [22] 22 Department of Medicine, University of Michigan , Ann Arbor, MI, United States
                [23] 23 Department of Pediatrics and Medicine, Case Western Reserve University , Cleveland, OH, United States
                Author notes

                Edited by: Alan Landay, Rush University, United States

                Reviewed by: James Moy, Rush University, United States; Sara Gianella Weibel, University of California, San Diego, United States

                *Correspondence: Hector Bonilla, Hbonilla@ 123456Stanford.edu

                This article was submitted to Viral Immunology, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2023.1129459
                10034329
                36969241
                cc7f12e7-8eb6-4da9-8302-302f0fee9ee1
                Copyright © 2023 Bonilla, Peluso, Rodgers, Aberg, Patterson, Tamburro, Baizer, Goldman, Rouphael, Deitchman, Fine, Fontelo, Kim, Shaw, Stratford, Ceger, Costantine, Fisher, O’Brien, Maughan, Quigley, Gabbay, Mohandas, Williams and McComsey

                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.

                History
                : 22 December 2022
                : 06 February 2023
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 155, Pages: 14, Words: 7585
                Funding
                This study is part of the NIH Researching COVID to Enhance Recover (RECOVER) Initiative, which seeks to understand, treat, and prevent the post-acute sequelae of SARS-CoV-2 infection (PASC). This research was funded by the National Institutes of Health (NIH) Agreement OTA OT2HL161847 as part of the RECOVER research program.
                Categories
                Immunology
                Review

                Immunology
                post-acute sequela of sars-cov-2 (pasc),long covid,sars- cov-2,long haulers,treatment,clinical trials,recover

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