Evidence map›Paper›PMID 39524978›Full record

ArticleInfection and drug resistance2024

T Lymphocyte Mitochondrial Markers as Independent Risk Factors for Poor Prognosis of COVID-19.

Mengying Yang, Qianqian Li, Mengxin Huang, Xiaoman Liu, Baogui Wang

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mengying Yang *Department of Infectious Disease, Fuyang People's Hospital, Fuyang, Anhui, People's Republic of China.
Qianqian Li *Department of Infectious Disease, Fuyang People's Hospital, Fuyang, Anhui, People's Republic of China.
Mengxin HuangDepartment of Infectious Disease, Fuyang People's Hospital, Fuyang, Anhui, People's Republic of China.
Xiaoman LiuDepartment of Infectious Disease, Fuyang People's Hospital, Fuyang, Anhui, People's Republic of China.
Baogui WangDepartment of Infectious Disease, Fuyang People's Hospital, Fuyang, Anhui, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe Acute Respiratory Syndrome Virus 2 (SARS-CoV-2) primarily targets mitochondria. However, the description of mitochondrial signaling in immune cells remains limited in COVID-19. This study aimed to elucidate the pivotal roles played by immune cells and mitochondria in the pathogenesis of COVID-19 and the resulting clinical outcomes. Methods: We obtained epidemiological characteristics, laboratory parameters and T cell mitochondrial damage indicators in 296 COVID-19 patients. And we further evaluated the predictive value of novel T lymphocyte mitochondrial markers and conventional immune inflammatory markers as clinical outcomes in COVID-19 patients. Finally, Binary logistic regression analysis was conducted to identify the independent risk factors associated with the prognosis of patients with COVID-19. Results: The severe group exhibited lower counts of Mito+CD3+, Mito+CD4+, and Mito+CD8+ cells compared to the non-severe group. Significantly higher positive rates of CD3+, CD3+CD4+, and CD3+CD8+T cell mitochondrial damage were observed in the severe group compared to the non-severe group. The CD3+CD8+T cells MMP-low% had the highest AUC value of 0.864 (95% CI =0.794-0.934) to evaluate COVID-19 outcome. Binary logistic regression analysis showed that CD3+T cells MMP-low%, CD3+CD4+T cells MMP-low% and CD3+CD8+T cells MMP-low% were independent risk factors for adverse outcomes in COVID-19 patients. Conclusion: Our research suggests that a substantial proportion of COVID-19 patients exhibited mitochondrial impairment with T-lymphocyte. T cells mitochondrial markers can serve as predictive factors and independent risk factors for predicting adverse outcomes in COVID-19 patients.

Indexed as

COVID-19mitochondrial damageprognosisSARS-Co V-2T cell subpopulations

Identifiers

PMID39524978
PMCPMC11550917

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