L'echographie thoracique dans la prise en charge des patients hospitalises en secteur conventionnel avec une pneumopathie a SARS-CoV-2

Declaration de liens d'interets: Les auteurs declarent ne pas avoir de liens d'interets. Copyright © 2022

The specific metabolome profiling of patients infected by SARS-COV-2 supports the key role of tryptophan-nicotinamide pathway and cytosine metabolism.

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.

Education and economic resources in rural women in Peru

Education is an important resource for women who are able to empower themselves in agricultural activities for the good of their families and society. They perform various functions in agro-export companies, which are a source of employment for large masses of labor, which is why the research aims to determine if education contributes to increasing the economic resources of rural women. The study method is applied type, socio-critical paradigm, with a correlational quantitative approach, under a sample population of 211 surveyed women who live in the rural area of Cañete in Peru. Pearson correlation was used to determine the relationship between the variable education and economic resources, as well as the dimensions agriculture and poverty. Evidence in the results that there is a positive correlation between the variables and the dimensions where field work is an alternative for women lacking higher education who manage to generate economic income. It is concluded that education is positive and good in rural women who carry out agricultural activities, being they trained to work in them, even when they are restricted by Covid-19, obtaining economic resources in times of pandemic is an advantage that favors their economy. © 2020

The specific metabolome profiling of patients infected by SARS-COV-2 supports the key role of tryptophan-nicotinamide pathway and cytosine metabolism (preprint)

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.