Corpus overview


Overview

MeSH Disease

HGNC Genes

SARS-CoV-2 proteins

There are no SARS-CoV-2 protein terms in the subcorpus


Filter

Genes
Diseases
SARS-CoV-2 Proteins
    displaying 1 - 2 records in total 2
    records per page




    High-dimensional profiling reveals phenotypic heterogeneity and disease-specific alterations of granulocytes in COVID-19 MESHD

    Authors: Magda Lourda; Majda Dzidic; Laura Hertwig; Helena Bergsten; Laura M Palma Medina; Egle Kvedaraite; Jagadeeswara Rao Muvva; Jean-Baptiste Gorin; Martin Cornillet; Johanna Emgard; Kirsten Moll; Marina Garcia; Kimia T Maleki; Jonas Klingstrom; Jakob Michaelsson; Malin Flodstrom-Tullberg; Susanna Brighenti; Marcus Buggert; Jenny Mjosberg; Karl-Johan Malmberg; Johan K Sandberg; Jan-Inge Henter; Elin Folkesson; Sara Gredmark-Russ; Anders Sonnerborg; Lars I Eriksson; Olav Rooyackers; Soo Aleman; Kristoffer Stralin; Hans-Gustaf Ljunggren; Niklas K Bjorkstrom; Mattias Svensson; Andrea Ponzetta; Anna Norrby-Teglund; Benedict J Chambers; - Karolinska KI/K COVID-19 Study Group

    doi:10.1101/2021.01.27.21250591 Date: 2021-01-31 Source: medRxiv

    Since the outset of the COVID-19 pandemic MESHD, increasing evidence suggests that the innate immune responses play an important role in the disease development. A dysregulated inflammatory state has been proposed as key driver of clinical complications in COVID-19 MESHD, with a potential detrimental role of granulocytes. However, a comprehensive phenotypic description of circulating granulocytes in SARS-CoV-2-infected MESHD patients is lacking. In this study, we used high-dimensional flow cytometry for granulocyte immunophenotyping in peripheral blood collected from COVID-19 MESHD patients during acute and convalescent phases. Severe COVID-19 MESHD was associated with increased levels of both mature and immature neutrophils, and decreased counts of eosinophils and basophils. Distinct immunotypes were evident in COVID-19 MESHD patients, with altered expression of several receptors involved in activation, adhesion and migration of granulocytes (e.g. CD62L HGNC, CD11a HGNC/b, CD69 HGNC, CD63 HGNC, CXCR4 HGNC). Paired sampling revealed recovery and phenotypic restoration of the granulocytic signature in the convalescent phase. The identified granulocyte immunotypes correlated with distinct sets of soluble inflammatory markers supporting pathophysiologic relevance. Furthermore, clinical features, including multi-organ dysfunction MESHD and respiratory function, could be predicted using combined laboratory measurements and immunophenotyping. This study provides a comprehensive granulocyte characterization in COVID-19 MESHD and reveals specific immunotypes with potential predictive value for key clinical features associated with COVID-19 MESHD. SignificanceAccumulating evidence shows that granulocytes are key modulators of the immune response to SARS-CoV-2 infection MESHD and their dysregulation MESHD could significantly impact COVID-19 MESHD severity and patient recovery after virus clearance. In the present study, we identify selected immune traits in neutrophil, eosinophil and basophil subsets associated to severity of COVID-19 MESHD and to peripheral protein profiles. Moreover, computational modeling indicates that the combined use of phenotypic data and laboratory measurements can effectively predict key clinical outcomes in COVID-19 MESHD patients. Finally, patient-matched longitudinal analysis shows phenotypic normalization of granulocyte subsets 4 months after hospitalization. Overall, in this work we extend the current understanding of the distinct contribution of granulocyte subsets to COVID-19 MESHD pathogenesis.

    Evaluation of the performance of SARS-CoV-2 serological tools and their positioning in COVID-19 MESHD diagnostic strategies.

    Authors: Aurélie Velay; Floriane Gallais; Ilies Benotmane; Marie-Josee Wendling; François Danion; Olivier Collange; Jerome De Seze; Catherine Schmidt-Mutter; Francis Schneider; Pascal Bilbault; Ferhat Meziani; Samira Fafi-Kremer

    doi:10.1101/2020.06.16.156166 Date: 2020-06-19 Source: bioRxiv

    Rapid and accurate diagnosis is crucial for successful outbreak containment. During the current coronavirus disease 2019 MESHD ( COVID-19 MESHD) public health emergency, the gold standard for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection MESHD diagnosis is the detection of viral RNA by reverse transcription (RT)-PCR. Additional diagnostic methods enabling the detection of current or past SARS-CoV-2 infection MESHD would be highly beneficial to ensure the timely diagnosis of all infected MESHD and recovered patients. Here, we investigated several serological tools, i.e., two immunochromatographic lateral flow assays ( LFA-1 HGNC (Biosynex COVID-19 MESHD BSS) and LFA-2 HGNC ( COVID-19 MESHD Sign IgM/IgG)) and two enzyme-linked immunosorbent assays (ELISAs) detecting IgA (ELISA-1 Euroimmun), IgM (ELISA-2 EDI) and/or IgG (ELISA-1 and ELISA-2) based on well-characterized panels of serum samples from patients and healthcare workers with PCR-confirmed COVID-19 MESHD and from SARS-CoV-2-negative patients. A total of 272 serum samples were used, including 62 serum samples from hospitalized patients (panel 1 and panel 3), 143 serum samples from healthcare workers (panel 2) diagnosed with COVID-19 MESHD and 67 serum samples from negative controls. Diagnostic performances of each assay were assessed according to days after symptom onset (dso) and the antigenic format used by manufacturers. We found overall sensitivities ranging from 69% to 93% on panels 1 and 2 and specificities ranging from 83% to 98%. The clinical sensitivity varied greatly according to the panel tested and the dso. The assays we tested showed poor mutual agreement. A thorough selection of serological assays for the detection of ongoing or past infections is advisable.

The ZB MED preprint Viewer preVIEW includes all COVID-19 related preprints from medRxiv and bioRxiv, from ChemRxiv, from ResearchSquare, from arXiv and from Preprints.org and is updated on a daily basis (7am CET/CEST).
The web page can also be accessed via API.

Sources


Annotations

All
None
MeSH Disease
HGNC Genes
SARS-CoV-2 Proteins


Export subcorpus as...

This service is developed in the project nfdi4health task force covid-19 which is a part of nfdi4health.

nfdi4health is one of the funded consortia of the National Research Data Infrastructure programme of the DFG.