Abstract
ObjectiveSeminal vesiculitis is a prevalent infectious disease in the genitourinary system, but its intrinsic pathogenesis and molecular features remain unclear. MethodsIn this study, we utilized next-generation sequencing technology to demonstrate the transcriptomic landscapes of clinical specimens from seminal vesiculitis patients. We identified enriched Go Ontology terms, pathway maps, processes, toxicity, and metabolic networks. ResultsGlutathione transferase activity is highly enriched, indicating its essential role in the disease's development. Furthermore, we established inflammation models of the seminal vesicle and validated the crucial function of glutathione transferase activity in these models, ConclusionOur results provide a robust platform for further intensive studies of seminal vesiculitis.
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