AUTHOR=Yuan Yacheng , Tan Yangyang , Qiu Xiaolong , Luo Hengfeng , Li Yuxiang , Li Ruijie , Yang Xukai TITLE=Sperm telomere length as a novel biomarker of male infertility and embryonic development: A systematic review and meta-analysis JOURNAL=Frontiers in Endocrinology VOLUME=13 YEAR=2023 URL=https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2022.1079966 DOI=10.3389/fendo.2022.1079966 ISSN=1664-2392 ABSTRACT=Background

Telomeres have an essential role in maintaining the integrity and stability of the human chromosomal genome and preserving essential DNA biological functions. Several articles have been published on the association of STL with male semen parameters and clinical pregnancy. The results, however, are either inconclusive or inconsistent. Therefore, this meta-analysis aimed to systematically assess the accuracy and clinical value of sperm telomere length (STL) as a new marker for diagnosing male infertility and predicting the quality of embryonic development.

Methods

We performed a comprehensive systematic search for relevant publications in PubMed, the Cochrane Library, Web of Science, Embase, Scopus, and Ovid, from database build to August 2022. All experimental studies exploring the association of STL with male semen quality, male infertility, or embryonic development were included.

Results

Overall, Twelve prospective observational cohort studies (1700 patients) were eligible for inclusion in the meta-analysis. The meta-analysis showed a positive linear correlation between STL and semen parameters. The optimal cut-off value for STL diagnosing male infertility was 1.0, with a sensitivity and specificity of 80%. Regarding STL and embryonic development, the clinical pregnancy rate was associated with longer STL, and there was no significant difference between the two groups regarding fertilization rate.

Conclusion

Our study showed that STL has good diagnostic and predictive value for male fertility and clinical pregnancy and could be used as a new biomarker for diagnosing male infertility and predicting embryonic development.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022303333.