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Conventional dendritic cell 2 links the genetic causal association from allergic asthma to COVID-19: a Mendelian randomization and transcriptomic study

Authors :
Hua Liu
Siting Huang
Liting Yang
Hongshu Zhou
Bo Chen
Lisha Wu
Liyang Zhang
Source :
Journal of Big Data, Vol 11, Iss 1, Pp 1-18 (2024)
Publication Year :
2024
Publisher :
SpringerOpen, 2024.

Abstract

Abstract Recent evidence suggests that allergic asthma (AA) decreases the risk of Coronavirus Disease 2019 (COVID-19). However, the reasons remain unclear. Here, we systematically explored data from GWAS (18 cohorts with 11,071,744 samples), bulk transcriptomes (3 cohorts with 601 samples), and single-cell transcriptomes (2 cohorts with 29 samples) to reveal the immune mechanisms that connect AA and COVID-19. Two-sample Mendelian randomization (MR) analysis identified a negative causal correlation from AA to COVID-19 hospitalization (OR = 0.968, 95% CI 0.940–0.997, P = 0.031). This correlation was bridged through white cell count. Furthermore, machine learning identified dendritic cells (DCs) as the most discriminative immunocytes in AA and COVID-19. Among five DC subtypes, only conventional dendritic cell 2 (cDC2) exhibited differential expression between AA/COVID-19 and controls (P

Details

Language :
English
ISSN :
21961115
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Big Data
Publication Type :
Academic Journal
Accession number :
edsdoj.2da64aed40484dc0b6fdfd6ad6f29cfd
Document Type :
article
Full Text :
https://doi.org/10.1186/s40537-024-00881-1