Percorrer por autor "Carbonell-Caballero, Jose"
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- Sex-specific transcriptome similarity networks elucidate comorbidity relationshipsPublication . Sánchez-Valle, Jon; Flores-Rodero, María; Costa, Felipe Xavier; Carbonell-Caballero, Jose; Núñez-Carpintero, Iker; Tabarés-Seisdedos, Rafael; Rocha, Luis Mateus; Cirillo, Davide; Valencia, AlfonsoHumans 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 and find that 13-16% of transcriptomically similar disease pairs are sex-specific. By comparing these results with epidemiological evidence, we recapitulate 53-60% of known comorbidities distinctly described for men and women, finding sex-specific transcriptomic similarities between sex-specific comorbid diseases. The analysis of shared underlying pathways shows that diseases can co-occur in men and women by altering alternative biological processes. Finally, we identify different drugs differentially associated with comorbid diseases depending on patients’ sex, highlighting the need to consider this relevant variable in the administration of drugs due to their possible influence on comorbidities.
- Sex-specific transcriptome similarity networks elucidate comorbidity relationshipsPublication . Sánchez-Valle, Jon; Flores-Rodero, María; Costa, Felipe Xavier; Carbonell-Caballero, Jose; Núñez-Carpintero, Iker; Tabarés-Seisdedos, Rafael; Rocha, Luis Mateus; Cirillo, Davide; Valencia, AlfonsoBackground Biological differences between women and men lead to variations in the prevalence and progression of many diseases, influencing diagnosis, management, and treatment outcomes. However, the biological mechanisms that contribute to sex differences in disease co-occurrence remain largely unexplored. This study aims to uncover the molecular processes underlying sex-specific patterns of comorbidity. Methods We analyze gene expression data from over 100 diseases, considering the biological sex of each sample (8906 samples, 43.06% women). For each sex, we construct disease similarity networks based on differential gene expression profiles and identify enriched biological processes. We then compare these networks with epidemiological data from population-level comorbidity studies to assess their concordance. Finally, we investigate drugs associated with sex-specific comorbidities to identify potential differences in therapeutic response. Results We show that 13–16% of transcriptomically similar disease pairs are sex-specific. These similarities recover 53–60% of known comorbidities that differ between women and men. Diseases can co-occur through the differential alteration of biological processes, with immune and metabolic pathways playing a greater role in women, and extracellular matrix organization and signal transduction pathways in men. We also identify drugs differentially linked to comorbid diseases depending on sex, suggesting possible sex-dependent effects on disease co-occurrence. Conclusions Our findings demonstrate that transcriptomic data can reveal sex-specific molecular links between diseases and suggest that biological sex should be considered in the design of therapeutic strategies and drug administration.