Sex-specific transcriptome similarity networks elucidate comorbidity relationships.

ABSTRACT: Humans present sex-driven biological differences. Consequently, the prevalence of analyzing specific diseases and comorbidities differs between the sexes, directly impacting patients' management and treatment. Despite its relevance and the growing evidence of said differences across numerous diseases (with 4,370 PubMed results published within the past year), knowledge at the comorbidity level remains limited. In fact, to date, no study has attempted to identify the biological processes altered differently in women and men, promoting differences in comorbidities. To shed light on this problem, we analyze expression data for more than 100 diseases from public repositories, analyzing each sex independently. We calculate similarities between differential expression profiles by disease pairs a

SUBMITTER: Sanchez-Valle J 

PROVIDER: S-EPMC11785135 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature