@misc{10481/90586,
year = {2024},
url = {https://hdl.handle.net/10481/90586},
abstract = {The diverse nature and high molecule concentration of seminal plasma (SP) makes this fluid a good potential source for a potential biomarker that could predict assisted reproductive technology (ART) outcomes. Currently, semen quality parameters cannot accurately predict ART outcomes. A systematic literature search was conducted to identify human SP biomarkers with potential predictive ability for the outcomes of IVF and intracytoplasmic sperm injection. Observational cohort and case-control studies describing the association between biomarkers in human SP and the outcome of infertile men attending for ART were included. Forty-three studies were selected, reporting on 89 potential SP biomarkers (grouped as oxidative stress, proteins glycoproteins, metabolites, immune system components, metals and trace elements and nucleic acids). The present review supports 32 molecules in SP as potentially relevant biomarkers for predicting ART outcomes; 23 molecules were reported once and nine molecules were reported in more than one study; IL-18 and TGF-β1–IL-18 ratio were confirmed in distinct studies. This review presents the most comprehensive overview of relevant SP biomarkers to predict ART outcomes to date, which is of clinical interest for infertility investigations and assisted reproduction; nevertheless, its potential is under-exploited. This review could serve as starting point for designing an all-encompassing study for biomarkers in SP and their predictive ability for ART outcomes, and for developing a non-invasive diagnostic tool.},
organization = {Merck},
organization = {MCIN/AEI/10.13039/501100011033},
organization = {ESF Investing in your future: FPU19/01638},
organization = {Grant Endo- Map PID2021-12728OB-100 funded by MCIN/AEI/10.13039/ 501100011033 and ERFD A way of making Europe},
organization = {FEDER/Junta de Andalucía-Consejería de Economía y Conocimiento: ROBIN A-CTS-614-UGR20},
publisher = {Elsevier},
keywords = {Assisted reproductive technology},
keywords = {Biomarker},
keywords = {ICSI},
title = {A systematic review identifying seminal plasma biomarkers and their predictive ability on IVF and ICSI outcomes},
doi = {10.1016/j.rbmo.2023.103622},
author = {van den Berg, Jonna S. and Molina Morales, Nerea and Altmäe, Signe and Arends, Brigitte and Steba, Gaby Sarina},
}