P-032 Exploration of the common genetic landscape of COVID-19 and male infertility

Abstract Study question What is the cross-talk molecular mechanisms between COVID-19 and male infertility? Summary answer The present study identified validated hub COVID-19-related differentially expressed genes (CORGs) in infertility, systematically explored interactions regulatory features. known already has spread widely across continents since 2019, causing serious damage to human health. Accumulative research uncovered that SARS-CoV-2 poses a great threat fertility. been confirmed exist semen specimens seminiferous tubes testes of patients. had an unfavorable influence on parameters infertile men, including sperm count, motility, morphology. Male infertility (MI) common comorbidity for pandemic. design, size, duration included bioinformatic calculation, participant recruitment, specimen collection, experimental validation university hospital. Participants/materials, setting, methods Four transcriptome data regarding were downloaded from GEO repository, divided initial analysis external validation. Differentially analysis, GO pathway annotation, PPI network, connectivity ranking, ROC immune infiltration performed gain CORGs. We recorded medical information patients with matched controls, harvested their samples. Expressions CORGs detected through qRT-PCR technique. Main results role chance 460 overlapped both (DEGs) MI DEGs. significantly enriched DNA repair-associated, cell cycle-associated, ubiquitination-associated, coronavirus-associated signaling. Module assessment network revealed functions closely related cycle metabolism processes. Pharmacologic agent prediction displayed protein-drug ascorbic acid, biotin, caffeine, L-cysteine After ranking validation, three (ENTPD6, CIB1, EIF3B) showed good diagnostic performance (area under curve > 0.75). Subsequently, types cells (CD8+ T cells, monocytes, macrophages M0) dominantly enriched, 24 transcription factor-CORGs 13 miRNA-CORGs constructed network. Finally, there significant differences expression (CIB1 patient control groups. Limitations, reasons caution Diverse sequencing platforms different ethnic subjects genetic have accuracy our some extent. Wider implications findings It first time us mine interrelationship infertility. Our provided new clues pathogenesis these two diseases, shared emerging potential biomarkers drug targets COVID-19-associated Trial registration number National Natural Science Foundation China (No. 82201758, No. 81700667, 82201775)