P-067 Characterization of seminal microbiota in patients with asthenozoospermic and normozoospermic using next-generation sequencing

Abstract Study question How are the semen microbiota compositions of patients with asthenozoospermic and normozoospermic different, According to data from 16S rRNA gene-specific Next-generation sequencing (NGS)? Summary answer Large numbers microbes can be present in seminal fluid, there differences between samples. What is known already Male factor attributable up 50% cases infertility. Most studies on normal abnormal sperm based next-generation (NGS). Microbiome analysis subunit a fast tool that enable identification all pathogenic microorganisms associated clinical pathology. Studies impact micro-biomes samples could improve results assisted reproductive technologies. The major bacterial diversity belongs genera Lactobacillus, Prevotella, Staphylococcus, Anaerococcus. design, size, duration Two eighty their own were included study. study population consists attending “Pacific IVF Center” Pacific Medical University Hospital (Udaipur, India) November 2020 October 2022. Depending spermiogram results, they divided into two groups. Group 1 (n = 127) was asthenozoospermic, 2 153) had samples, Patients aged (20-45 years). Ethical approval obtained institute. Participants/materials, setting, methods Genomic DNA extracted using commercially available (Qiagen, DNeasy Power Soil kit). amount measured Nanodrop spectrophotometer (Thermo Scientific). analyzed ribosomal RNA (rRNA) gene amplification (MinION) Oxford Nanopore Ltd. Bioinformatics performed QIIME2 Analyst packages. Alpha, beta diversity, taxonomic characterization compared for microbiome Main role chance Different communities detected when analyzed. In parameters, higher alpha index tendency found. p-value non-significant (p 0.14 Shannon index), significant 0.01 index). analysis, no observed both groups Relative abundance identified communities, Streptococcus, Ureaplasma Anaerococcus Gardnerella Comparison 0.06 p 0.08 Simpson index) < 0.001) showed differences. Lactobacillus 3.70E-4), Prevotella 8.11E-4), 0.004) 0.004). Limitations, reasons caution limited sample size primary constraint this Larger larger needed confirm distinct patterns connection male Wider implications findings Further research determine detection rate described other pathologies. Determining relationship characteristics infertility development new algorithms treating disorders, An appears strongly correlated Trial registration number N/A