ABSTRACT
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ABSTRACT
The French-language Respiratory Medicine Society (SPLF) proposes a guide for the follow-up of patients who have presented with SARS-CoV-2 pneumonia. The proposals are based on known data from previous epidemics, on acute lesions observed in SARS-CoV-2 patients and on expert opinion. This guide proposes a follow-up based on three categories of patients: (1) patients managed outside hospital for possible or proven SARS-CoV-2 infection, referred by their physician for persistent dyspnoea; (2) patients hospitalized for SARS-CoV-2 pneumonia in a medical unit; (3) patients hospitalized for SARS-CoV-2 pneumonia in an intensive care unit. The subsequent follow-up will have to be adapted to the initial assessment. This guide emphasises the possibility of others causes of dyspnoea (cardiac, thromboembolic, hyperventilation syndrome…). These proposals may evolve over time as more knowledge becomes available.
ABSTRACT
The biological mechanisms involved in SARS-CoV-2 infection are only partially understood. Thus we explored the plasma metabolome of patients infected with SARS-CoV-2 to search for diagnostic and/or prognostic biomarkers and to improve the knowledge of metabolic disturbance in this infection. We analyzed the plasma metabolome of 55 patients infected with SARS-CoV-2 and 45 controls by LC-HRMS at the time of viral diagnosis (D0). We first evaluated the ability to predict the diagnosis from the metabotype at D0 in an independent population. Next, we assessed the feasibility of predicting the disease evolution at the 7th and 15th day. Plasma metabolome allowed us to generate a discriminant multivariate model to predict the diagnosis of SARS-CoV-2 in an independent population (accuracy > 74%, sensitivity, specificity > 75%). We identified the role of the cytosine and tryptophan-nicotinamide pathways in this discrimination. However, metabolomic exploration modestly explained the disease evolution. Here, we present the first metabolomic study in SARS-CoV-2 patients which showed a high reliable prediction of early diagnosis. We have highlighted the role of the tryptophan-nicotinamide pathway clearly linked to inflammatory signals and microbiota, and the involvement of cytosine, previously described as a coordinator of cell metabolism in SARS-CoV-2. These findings could open new therapeutic perspectives as indirect targets.
Subject(s)
Betacoronavirus/genetics , Coronavirus Infections/epidemiology , Coronavirus Infections/metabolism , Cytosine/blood , Metabolome , Metabolomics/methods , Niacinamide/blood , Pneumonia, Viral/epidemiology , Pneumonia, Viral/metabolism , Tryptophan/blood , Aged , Aged, 80 and over , Biomarkers/blood , COVID-19 , Coronavirus Infections/diagnosis , Coronavirus Infections/virology , Early Diagnosis , Female , France/epidemiology , Humans , Male , Middle Aged , Pandemics , Pneumonia, Viral/diagnosis , Pneumonia, Viral/virology , Prognosis , Reproducibility of Results , SARS-CoV-2 , Sensitivity and Specificity , Severity of Illness IndexSubject(s)
Air Microbiology , Betacoronavirus , Coronavirus Infections/physiopathology , Lung/physiopathology , Pandemics , Pneumonia, Viral/physiopathology , Respiratory Function Tests , Aerosols/adverse effects , Asymptomatic Diseases , Betacoronavirus/isolation & purification , Betacoronavirus/physiology , COVID-19 , Coronavirus Infections/diagnosis , Coronavirus Infections/prevention & control , Coronavirus Infections/transmission , Cross Infection/prevention & control , Cross Infection/transmission , Exercise Test , Humans , Hygiene , Infection Control/methods , Infection Control/standards , Infectious Disease Transmission, Patient-to-Professional/prevention & control , Lung/virology , Pandemics/prevention & control , Personal Protective Equipment , Physical Exertion , Pneumonia, Viral/diagnosis , Pneumonia, Viral/prevention & control , Pneumonia, Viral/transmission , Procedures and Techniques Utilization , Respiration , Rest , SARS-CoV-2ABSTRACT
BackgroundThe biological mechanisms involved in SARS-CoV-2 infection are only partially understood. Thus we explored the plasma metabolome of patients infected with SARS-CoV-2 to search for diagnostic and/or prognostic biomarkers and to improve the knowledge of metabolic disturbance in this infection.Materials and Methods We analyzed the plasma metabolome of 55 patients infected with SARS-CoV-2 and 45 controls by LC-HRMS at the time of diagnosis (D0). We first evaluated the ability to predict the diagnosis from the metabotype at D0 in an independent population. Next, we assessed the feasibility of predicting the disease evolution at the 7th and 15th day.ResultsPlasma metabolome allowed us to generate a discriminant multivariate model to predict the diagnosis of SARS-CoV-2 in an independent population (accuracy>74%, sensitivity, specificity>75%). We identified the role of the cytosine and tryptophan-nicotinamide pathways in this discrimination. However, metabolomic exploration modestly explained the disease evolution.DiscussionHere, we present the first metabolomic study in SARS-CoV-2 patients which showed a high reliable prediction of early diagnosis. We have highlighted the role of the tryptophan-nicotinamide pathway clearly linked to inflammatory signals and microbiota, and the involvement of cytosine, previously described as a coordinator of cell metabolism in SARS-CoV-2. These findings could open new therapeutic perspectives as indirect targets.
Subject(s)
COVID-19ABSTRACT
The French-language Respiratory Medicine Society proposes a guide for the follow-up of patients who have presented with SARS-CoV-2 pneumonia. The proposals are based on known data from previous epidemics, on acute lesions observed in SARS-CoV-2 patients and on expert opinion. This guide proposes a follow-up based on three categories of patients: 1) patients managed outside hospital for possible or proven SARS-CoV-2 infection, referred by their physician for persistent dyspnoea;2) patients hospitalized for SARS-CoV-2 pneumonia in a medical unit;3) patients hospitalized for SARS-CoV-2 pneumonia in an intensive care unit. The subsequent follow-up will have to be adapted to the initial assessment. This guide emphasises the possibility of others causes of dyspnoea (cardiac, thromboembolic, hyperventilation syndrome..). These proposals may evolve over time as more knowledge becomes available.
ABSTRACT
Résumé La Société de Pneumologie de Langue Française propose un guide pour le suivi respiratoire des patients ayant présenté une pneumonie à SARS-CoV-2 à partir des données connues des précédentes épidémies, des lésions aiguës constatées chez ces patients et d’opinions d’experts. Ce guide propose une conduite à tenir selon le type de patients : 1) patient pris en charge en ville pour une infection à SARS-CoV-2 possible ou prouvée adressé par son médecin traitant pour dyspnée persistante, 2) patient hospitalisé pour pneumonie à SARS-CoV-2 en unité conventionnelle, 3) patient hospitalisé pour pneumonie à SARS-CoV-2 ayant fait un séjour en réanimation. Le suivi ultérieur sera à adapter au bilan initial. Ce guide insiste sur le fait qu’il ne faut pas méconnaitre les autres causes de dyspnée (cardiaques, thromboemboliques, syndrome d’hyperventilation, …). Ces propositions pourront évoluer dans le temps au fil des connaissances sur le sujet. The French-language Respiratory Medicine Society proposes a guide for the follow-up of patients who have presented with SARS-CoV-2 pneumonia. The proposals are based on known data from previous epidemics, on acute lesions observed in SARS-CoV-2 patients and on expert opinion. This guide proposes a follow-up based on three categories of patients: 1) patients managed outside hospital for possible or proven SARS-CoV-2 infection, referred by their physician for persistent dyspnoea;2) patients hospitalized for SARS-CoV-2 pneumonia in a medical unit;3) patients hospitalized for SARS-CoV-2 pneumonia in an intensive care unit. The subsequent follow-up will have to be adapted to the initial assessment. This guide emphasises the possibility of others causes of dyspnoea (cardiac, thromboembolic, hyperventilation syndrome..). These proposals may evolve over time as more knowledge becomes available.