Project description:Although a substantial proportion of severe COVID-19 pneumonia survivors exhibit long-term pulmonary sequalae, the underlying mechanisms or associated local and systemic immune correlates are not known. Here, we have performed high dimensional characterization of the pathophysiological and immune traits of aged COVID-19 convalescents, and correlated the local and systemic immune profiles with pulmonary function and lung imaging. In this cohort of aged COVID-19 convalescents, chronic lung impairment was accompanied by persistent systemic inflammation and respiratory immune alterations. Detailed evaluation of the lung immune compartment revealed dysregulated respiratory CD8+ T cell responses that likely underlie the impaired lung function following acute COVID-19 during aging. Single cell transcriptomic analysis identified the potential pathogenic subsets of respiratory CD8+ T cells causing persistent tissue conditions following COVID-19. Our results have revealed key pathophysiological and immune traits that support the development of lung sequelae following SARS-CoV2 pneumonia during aging, with implications for the treatment of chronic COVID-19 symptoms.

2021-09-17 | GSE176201 | GEO

Risk Factors for Mortality after COVID-19 in Patients with Preexisting Interstitial Lung Disease.

Project description: Not available

| S-EPMC7874431 | biostudies-literature

SARS-CoV-2/COVID-19: Evolving Reality, Global Response, Knowledge Gaps, and Opportunities.

Project description: Not available

| S-EPMC7363382 | biostudies-literature

Evolving the narrative for protecting a rapidly changing ocean, post-COVID-19.

Project description: Not available

| S-EPMC7753556 | biostudies-literature

Spatial transcriptomics of post-mortem lung tissue from COVID-19 donors

Project description:Visualization of gene expression in lung tissue was performed using Visium spatial gene expression kits (10x Genomics) following the manufacturer`s protocol. The four capture areas in a 10x Genomics Visium Gene Expression slide consist of 5000 spots with DNA oligos for mRNA capture that have a unique spatial barcode and a unique Molecular Identifier (UMI). Each spot has 55 µm diameter and can therefore capture mRNA from 1 to 10 cells. We report the spatially resolved transcriptome of 3 control lung samples from non-COVID-19-related pneumonia donors and 9 COVID-19 lung samples analyzed with the 10x Visium platform.

2022-12-21 | GSE190732 | GEO

Outcome of Hospitalization for COVID-19 in Patients with Interstitial Lung Disease. An International Multicenter Study.

Project description: Not available

| S-EPMC7737581 | biostudies-literature