Articles producció científicaCiències Mèdiques Bàsiques

Towards understanding post-COVID-19 condition: A systematic meta-analysis of transcriptomic alterations with sex-specific insights

  • Dades identificatives

    Identificador:  imarina:9366108
    Autors:  Rusu EC; Monfort-Lanzas P; Bertran L; Barrientos-Riosalido A; Solé E; Mahmoudian R; Aguilar C; Briansó S; Mohamed F; Garcia S; Camaron J; Auguet T
    Resum:
    Post COVID-19 Condition (PCC), characterized by lingering symptoms post-acute COVID-19, poses clinical challenges, highlighting the need to understand its underlying molecular mechanisms. This meta-analysis aims to shed light on the transcriptomic landscapes and sex-specific molecular dynamics intrinsic to PCC.A systematic review identified three studies suitable for comprehensive meta-analysis, encompassing 135 samples (57 PCC subjects and 78 recovered subjects). We performed meta-analysis on differential gene expression, a gene set enrichment analysis of Reactome pathways, and weighted gene co-expression network analysis (WGCNA). We performed a drug and disease enrichment analysis and also assessed sex-specific differences in expression patterns.A clear difference was observed in the transcriptomic profiles of PCC subjects, with 530 differentially expressed genes (DEGs) identified. Enrichment analysis revealed that the altered pathways were predominantly implicated in cell cycle processes, immune dysregulation and histone modifications. Antioxidant compounds such as hesperitin were predominantly linked to the hub genes of the DEGs. Sex-specific analyses highlighted disparities in DEGs and altered pathways in male and female PCC patients, revealing a difference in the expression of ribosomal proteins. PCC in men was mostly linked to neuro-cardiovascular disorders, while women exhibited more diverse disorders, with a high index of respiratory conditions.Our study reveals the intricate molecular processes underlying PCC, highlighting that the differences in molecular dynamics between males and females could be key to understanding and effectively managing the varied symptomatology of this condition.Copyright © 2024. Published by Elsevier Ltd.
  • Altres:

    Enllaç font original: https://www.sciencedirect.com/science/article/pii/S0010482524005912
    Referència de l'ítem segons les normes APA: Rusu EC; Monfort-Lanzas P; Bertran L; Barrientos-Riosalido A; Solé E; Mahmoudian R; Aguilar C; Briansó S; Mohamed F; Garcia S; Camaron J; Auguet T (2024). Towards understanding post-COVID-19 condition: A systematic meta-analysis of transcriptomic alterations with sex-specific insights. Computers In Biology And Medicine, 175(), 108507-108507. DOI: 10.1016/j.compbiomed.2024.108507
    Referència a l'article segons font original: Computers In Biology And Medicine. 175 108507-108507
    DOI de l'article: 10.1016/j.compbiomed.2024.108507
    Any de publicació de la revista: 2024-01-01
    Entitat: Universitat Rovira i Virgili
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Data d'alta del registre: 2026-03-02
    Autor/s de la URV: Aguilar Crespillo, Carmen Isabel / Auguet Quintillà, Maria Teresa / Barrientos Riosalido, Andrea / Bertran Ramos, Laia / Camarón Mallén, Javier Mariano
    Departament: Medicina i Cirurgia, Ciències Mèdiques Bàsiques
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipus de publicació: Journal Publications
    Autor segons l'article: Rusu EC; Monfort-Lanzas P; Bertran L; Barrientos-Riosalido A; Solé E; Mahmoudian R; Aguilar C; Briansó S; Mohamed F; Garcia S; Camaron J; Auguet T
    Àrees temàtiques: Saúde coletiva, Química, Psicología, Medicina veterinaria, Medicina iii, Medicina ii, Medicina i, Mathematical & computational biology, Interdisciplinar, Health informatics, Farmacia, Engineering, biomedical, Engenharias iv, Engenharias iii, Engenharias ii, Engenharias i, Educação física, Computer science, interdisciplinary applications, Computer science applications, Ciências biológicas ii, Ciências biológicas i, Ciências ambientais, Ciência da computação, Biotecnología, Biology, miscellaneous, Biology, Biodiversidade, Astronomia / física
    Adreça de correu electrònic de l'autor: andrea.barrientos@urv.cat, andrea.barrientos@urv.cat, javiermariano.camaron@urv.cat, laia.bertranr@estudiants.urv.cat, laia.bertranr@estudiants.urv.cat, carmenisabel.aguilar@urv.cat, carmenisabel.aguilar@urv.cat, mariateresa.auguet@urv.cat
  • Paraules clau:

    Transcriptome
    Sex-dependent gene expression
    Sex factors
    Sars-cov-2
    Rna-seq
    Post-acute covid-19 syndrome
    Meta-analysis
    Male
    Long covid
    Humans
    Histone expression
    Hesperitin
    Gene expression profiling
    Gender equality
    Female
    Disease enrichment
    Covid-19
    Biology
    Miscellaneous
    Computer Science Applications
    Computer Science
    Interdisciplinary Applications
    Engineering
    Biomedical
    Health Informatics
    Mathematical & Computational Biology
    Saúde coletiva
    Química
    Psicología
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Interdisciplinar
    Farmacia
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Educação física
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciência da computação
    Biotecnología
    Biodiversidade
    Astronomia / física
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