Molecular insights into the bidirectional link between anxiety and COVID-19: a combined clinical and bioinformatics approach
Wenjie Huang, Biao Hu, Chengyu Gu, Hao Wu, Yize Huang, Dexiang Yang

TL;DR
This study explores how anxiety and COVID-19 are linked by examining molecular pathways and patient data.
Contribution
The study identifies specific genes linked to anxiety in asymptomatic COVID-19 patients using clinical and bioinformatics methods.
Findings
25% of asymptomatic COVID-19 patients showed mild anxiety symptoms, with anxiety negatively correlated with age.
Meta-analysis confirmed increased expression of CALCA, TNF, PLAT, and PPARG in response to COVID-19.
Impaired cognitive function may link anxiety and COVID-19 through inflammatory and neurocognitive pathways.
Abstract
Numerous studies have reported an increased incidence of anxiety in individuals affected by COVID-19; however, the specific molecular mechanisms underlying this association remain poorly understood. In this study, we employed the Zung Self-Rating Anxiety Scale (SAS) to assess anxiety levels in 36 asymptomatic COVID-19 patients. In parallel, we conducted a comprehensive literature-based data mining analysis to reconstruct the functional and molecular pathways linking COVID-19 and anxiety. Additionally, we performed a meta-analysis using eight independent COVID-19 case–control gene expression datasets to examine expression alterations in the literature-derived pathways. Our findings revealed that even among asymptomatic individuals, approximately 25% exhibited mild anxiety symptoms, which negatively correlated with age. The reconstructed pathways suggested that COVID-19 may contribute…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsLong-Term Effects of COVID-19 · COVID-19 and Mental Health · Tryptophan and brain disorders
