An article published in BMCMedicine presents a model that can predict whoch children and young people are most likely to experience long COVID three months after SARS-CoV-2 PCR testing.
]. The Index of Multiple Deprivation was calculated from the CYP’s small local area level-based geographic hierarchy at the time of the questionnaire and used as a proxy for socio-economic status. We examine IMD quintiles from most to least deprived .
Table 1 Baseline characteristics of participants who completed the 3-month questionnaire, overall and stratified by SARS-CoV-2 status] as having at least one of the 21 reported physical symptoms and experiencing more than minimal problems on any one of the five EQ-5D-Y questions at the time of the questionnaire, i.e. approximately 3 months after the PCR test .
Belgique Dernières Nouvelles, Belgique Actualités
Similar News:Vous pouvez également lire des articles d'actualité similaires à celui-ci que nous avons collectés auprès d'autres sources d'information.
Regression of Lung Cancer in Mice by Intranasal Administration of SARS-CoV-2 Spike S1This study underlines the importance of SARS-CoV-2 spike S1 in prompting death in cultured non-small cell lung cancer (NSCLC) cells and in vivo in lung tumors in mice. Interestingly, we found that recombinant spike S1 treatment at very low doses led to death of human A549 NSCLC cells. On the other hand, boiled recombinant SARS-CoV-2 spike S1 remained unable to induce death, suggesting that the induction of cell death in A549 cells was due to native SARS-CoV-2 spike S1 protein. SARS-CoV-2 spike S1-induced A549 cell death was also inhibited by neutralizing antibodies against spike S1 and ACE2. Moreover, our newly designed wild type ACE2-interacting domain of SARS-CoV-2 (wtAIDS), but not mAIDS, peptide also attenuated SARS-CoV-2 spike S1-induced cell death, suggesting that SARS-CoV-2 spike S1-induced death in A549 NSCLC cells depends on its interaction with ACE2 receptor. Similarly, recombinant spike S1 treatment also led to death of human H1299 and H358 NSCLC cells. Finally, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) intoxication led to the formation tumors in lungs of A/J mice and alternate day intranasal treatment with low dose of recombinant SARS-CoV-2 spike S1 from 22-weeks of NNK insult (late stage) induced apoptosis and tumor regression in the lungs. These studies indicate that SARS-CoV-2 spike S1 may have implications for lung cancer treatment.
Lire la suite »
Researchers explore the correlation between the dynamic shedding pattern of SARS-CoV-2 and viral loadResearchers attempted to establish an association between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load, indicating its ribonucleic acid (RNA) levels, and the presence of infectious virions.
Lire la suite »
Co-infecting pathogens and the microbiome from SARS-CoV-2 positive and negative samplesCo-infecting pathogens and the microbiome from SARS-CoV-2 positive and negative samples PLOSONE jgi pathogen microbiome SARSCoV2 COVID19 coronavirus covid
Lire la suite »
SARS-CoV-2 infects adipose tissue in a fat depot- and viral lineage-dependent manner - Nature CommunicationsVisceral adiposity is a risk factor for severe COVID-19, and infection of adipose tissue by SARS-CoV-2 has been reported. Here the authors confirm that human adipose tissue is a possible site for SARS-CoV-2 infection, but the degree of adipose tissue infection and the way adipocytes respond to the virus depend on the adipose tissue depot and the viral strain.
Lire la suite »
Is remdesivir treatment associated with reduced risk of inpatient mortality among US patients hospitalized with COVID-19?Researchers assessed the effect of remdesivir on inpatient COVID-19-associated mortality among individuals hospitalized with SARS-CoV-2 infections in an enormous dataset of US residents beyond clinical trial settings.
Lire la suite »
Machine learning analysis suggests that there are four sub-phenotypes of long COVIDMachine learning analysis suggests that there are four sub-phenotypes of long COVID NatureMedicine WeillCornell longCOVID coronavirus covid machinelearning data healthcaredata phenotype
Lire la suite »