Differential Sperm Proteomic Profiles According to Pregnancy Achievement in Intracytoplasmic Sperm Injection Cycles: a Pilot Study

Overview

Journal J Assist Reprod Genet

Publisher Springer

Specialties Genetics
Reproductive Medicine

Date 2021 Apr 9

PMID 33835370

Citations 1

Authors

Rocio Rivera-Egea

Nerea Sota

Roberto Gonzalez-Martin

Marcos Meseguer

Jose Remohi

Nicolas Garrido

Francisco Dominguez

Affiliations

Soon will be listed here.

Abstract

Purpose: To describe the proteomic profiles in semen samples and define the differences in sperm proteomic profiles among samples that ultimately achieved pregnancy (P) via intracytoplasmic sperm injection (ICSI) in an oocyte donation program and those that were unsuccessful (NP).

Methods: Prospective, analytical, observational nested case and control study evaluating the proteomic profile of spermatozoa from patients' ejaculates where pregnancies were (group pregnant (P), n= 4) or were not (group non-pregnant (NP), n=4) achieved after ICSI in an oocyte donation program aiming to standardize female factor. Proteins were separated and analyzed by means of SWATH-MS) and compared between P/NP groups to identify sperm biomarkers of fertility/infertility. Proteins are available via ProteomeXchange.

Results: We identified and quantified 2228 proteins, with 37 significantly higher in the P group and 16 higher in NP. Enrichment analysis revealed that the increased proteins in P group sperm were related to motility, anaerobic metabolism, and protein biosynthesis functions, while the increased proteins in the NP group were involved in protein biosynthesis, protein folding, aerobic metabolism, and signal transduction, all of which are functions not previously described as influencing sperm success. Some proteins identified (e.g., SLC2A3, or CD81) are located in the cell membrane and thus may be employed to select spermatozoa by magnetic-activated cell sorting (MACS).

Conclusion(s): This work revealed differences in the proteomic profiles of sperm samples successful in achieving pregnancy and those that were not, expanding our understanding of sperm function and infertility-related molecular markers, and enabling the future development of male fertility diagnostic tools and therapies.

Citing Articles

Longitudinal profiling of human androgenotes through single-cell analysis unveils paternal gene expression dynamics in early embryo development.

Vendrell X, de Castro P, Escrich L, Grau N, Gonzalez-Martin R, Quinonero A Hum Reprod. 2024; 39(6):1186-1196.

PMID: 38622061 PMC: 11145015. DOI: 10.1093/humrep/deae072.

References

Esteves S . Clinical relevance of routine semen analysis and controversies surrounding the 2010 World Health Organization criteria for semen examination. Int Braz J Urol. 2014; 40(4):443-53. DOI: 10.1590/S1677-5538.IBJU.2014.04.02. View

Jensen O, Podtelejnikov A, Sagliocco F, Wilm M, Vorm O, Mortensen P . Linking genome and proteome by mass spectrometry: large-scale identification of yeast proteins from two dimensional gels. Proc Natl Acad Sci U S A. 1996; 93(25):14440-5. PMC: 26151. DOI: 10.1073/pnas.93.25.14440. View

Garrido N, Remohi J, Martinez-Conejero J, Garcia-Herrero S, Pellicer A, Meseguer M . Contribution of sperm molecular features to embryo quality and assisted reproduction success. Reprod Biomed Online. 2008; 17(6):855-65. DOI: 10.1016/s1472-6483(10)60415-4. View

Li J, Zhang L, Li B . Correlative study on the JAK-STAT/PSMβ3 signal transduction pathway in asthenozoospermia. Exp Ther Med. 2017; 13(1):127-130. PMC: 5245151. DOI: 10.3892/etm.2016.3959. View

Pellicer A, Simon C, Remohi J . Effects of aging on the female reproductive system. Hum Reprod. 1995; 10 Suppl 2:77-83. DOI: 10.1093/humrep/10.suppl_2.77. View

Gillet L, Navarro P, Tate S, Rost H, Selevsek N, Reiter L . Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis. Mol Cell Proteomics. 2012; 11(6):O111.016717. PMC: 3433915. DOI: 10.1074/mcp.O111.016717. View

Liao T, Xiang Z, Zhu W, Fan L . Proteome analysis of round-headed and normal spermatozoa by 2-D fluorescence difference gel electrophoresis and mass spectrometry. Asian J Androl. 2009; 11(6):683-93. PMC: 3735327. DOI: 10.1038/aja.2009.59. View

Reimand J, Isserlin R, Voisin V, Kucera M, Tannus-Lopes C, Rostamianfar A . Pathway enrichment analysis and visualization of omics data using g:Profiler, GSEA, Cytoscape and EnrichmentMap. Nat Protoc. 2019; 14(2):482-517. PMC: 6607905. DOI: 10.1038/s41596-018-0103-9. View

Garin-Muga A, Odriozola L, Martinez-Val A, Del Toro N, Martinez R, Molina M . Detection of Missing Proteins Using the PRIDE Database as a Source of Mass Spectrometry Evidence. J Proteome Res. 2016; 15(11):4101-4115. PMC: 5099979. DOI: 10.1021/acs.jproteome.6b00437. View

10.

Azpiazu R, Amaral A, Castillo J, Estanyol J, Guimera M, Ballesca J . High-throughput sperm differential proteomics suggests that epigenetic alterations contribute to failed assisted reproduction. Hum Reprod. 2014; 29(6):1225-37. DOI: 10.1093/humrep/deu073. View

11.

Liu L, Chen D, Huang T . [Key sperm membrane proteins in sperm-egg fusion]. Zhonghua Nan Ke Xue. 2009; 15(3):261-4. View

12.

Zylbersztejn D, Andreoni C, Del Giudice P, Montagnini Spaine D, Borsari L, Souza G . Proteomic analysis of seminal plasma in adolescents with and without varicocele. Fertil Steril. 2012; 99(1):92-98. DOI: 10.1016/j.fertnstert.2012.08.048. View

13.

Hopfgartner G, Tonoli D, Varesio E . High-resolution mass spectrometry for integrated qualitative and quantitative analysis of pharmaceuticals in biological matrices. Anal Bioanal Chem. 2011; 402(8):2587-96. DOI: 10.1007/s00216-011-5641-8. View

14.

Said T, Land J . Effects of advanced selection methods on sperm quality and ART outcome: a systematic review. Hum Reprod Update. 2011; 17(6):719-33. DOI: 10.1093/humupd/dmr032. View

15.

Thonneau P, Marchand S, Tallec A, Ferial M, Ducot B, Lansac J . Incidence and main causes of infertility in a resident population (1,850,000) of three French regions (1988-1989). Hum Reprod. 1991; 6(6):811-6. DOI: 10.1093/oxfordjournals.humrep.a137433. View

16.

Garrido N, Bellver J, Remohi J, Alama P, Pellicer A . Cumulative newborn rates increase with the total number of transferred embryos according to an analysis of 15,792 ovum donation cycles. Fertil Steril. 2012; 98(2):341-6.e1-2. DOI: 10.1016/j.fertnstert.2012.04.039. View

17.

Sakkas D, Ramalingam M, Garrido N, Barratt C . Sperm selection in natural conception: what can we learn from Mother Nature to improve assisted reproduction outcomes?. Hum Reprod Update. 2015; 21(6):711-26. PMC: 4594619. DOI: 10.1093/humupd/dmv042. View

18.

Jin S, Yang W . Factors and pathways involved in capacitation: how are they regulated?. Oncotarget. 2016; 8(2):3600-3627. PMC: 5356907. DOI: 10.18632/oncotarget.12274. View

19.

Nallella K, Sharma R, Aziz N, Agarwal A . Significance of sperm characteristics in the evaluation of male infertility. Fertil Steril. 2006; 85(3):629-34. DOI: 10.1016/j.fertnstert.2005.08.024. View

20.

Oliva R, de Mateo S, Estanyol J . Sperm cell proteomics. Proteomics. 2009; 9(4):1004-17. DOI: 10.1002/pmic.200800588. View