Quantitative proteomic analysis of sperm in unexplained recurrent pregnancy loss

• Main Authors: Dena Xue, Yi Zhang, Yixin Wang, Jun Wang, Fengxiao An, Xiaowei Sun, Zhenhai Yu
• Format: Article
• Language: English
• Published: BMC 2019-07-01
• Series: Reproductive Biology and Endocrinology
• Subjects: Recurrent pregnancy loss; iTRAQ; Sperm; Biomakers; Gene functions and pathways
• Online Access: http://link.springer.com/article/10.1186/s12958-019-0496-5

Abstract Background Recurrent pregnancy loss (RPL) refers to two or more spontaneous abortions that occur consecutively with the same spouse. RPL severely affects human reproduction health, and causes extreme physical and mental suffering to patients and their families. Methods We used isobaric tags for relative and absolute quantitation (iTRAQ), which was coupled with liquid chromatography mass spectrometry (LC-MS) proteomic analysis, in order to identify differentially expressed proteins. Moreover, we used western blot to analyze differentially expressed proteins. Results Of the 2350 non-redundant proteins identified, 38 proteins were significantly altered and were identified as potential biomarkers for RPL. The protein-protein interaction network constructed using GeneMANIA revealed that 35.55% displayed similar co-expression, 30.87% were predicted, and 20.95% had physical interaction characteristics. Based on Gene ontology classification and KEGG pathway enrichment analyses, the majority of these differentially expressed proteins were found to be related to biological regulation, metabolic and cellular processes, protein binding and different enzymes activities, as well as disorder of fat and glucose metabolic pathways. It is noteworthy that three metabolism related biomarkers (HK1, ACLY, and FASN) were further confirmed through western blot analysis. Conclusions These results suggest that these differentially expressed proteins may be used as biomarkers for RPL, and related signaling pathways may play crucial roles in male induced RPL.