The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
The use of genomics, proteomics, and metabolomics in identifying biomarkers of male infertility
Open accessAbstract
Although male factors account for approximately 50% of all infertility, the mechanisms underlying their origin are unknown. Currently, clinicians rely primarily on semen analyses to predict male reproductive potential and chart treatment success. Even when invasive procedures are performed, the causes of male factor infertility frequently remain elusive. Recently, the advent of new technologies has spurred the search for novel male infertility biomarkers, and the detection of genes, proteins, or metabolites unique to the infertile male holds much promise. The concept that a cost-effective, noninvasive, and accurate set of biomarkers can be identified to diagnose male factor infertility is tantalizing. This review focuses on the various methodologies used in the discovery of novel biomarkers along with their findings. Specific attention is paid to recent advances in the fields of genetics, proteomics, and metabolomics.
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Cited by
Carrell, D., Simon, L., Zini, A., Dyachenko, A., & Ciampi, A. (2017) · Asian Journal of Andrology · doi:10.4103/1008-682x.182822 · Cited by 409
Tobacco smoking and semen quality in infertile males: a systematic review and meta-analysis
Bundhun, P. K., Janoo, G., Bhurtu, A., Teeluck, A. R., Soogund, M. Z. S., Pursun, M., & Huang, F. (2019) · BMC Public Health · doi:10.1186/s12889-018-6319-3 · Cited by 154
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Wang, B., Nie, B., Tang, D., Li, R., Liu, X., Song, J., Wang, W., & Liu, Z. (2017) · Balkan Journal of Medical Genetics · doi:10.1515/bjmg-2017-0003 · Cited by 23
Metadata
- Authors
- Kovac, J. R., Pastuszak, A. W., & Lamb, D. J.
- Venue
- Fertility and Sterility
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 99
- Issue
- 4
- Pages
- 998-1007
- ISSN
- 0015-0282 (ISSN-L)
- OpenAlex
- W1985854006
- Cited by
- 253
- References
- 102
- FWCI
- 25.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Kovac, J. R., Pastuszak, A. W., & Lamb, D. J. (2013). The use of genomics, proteomics, and metabolomics in identifying biomarkers of male infertility. Fertility and Sterility. https://doi.org/10.1016/j.fertnstert.2013.01.111
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
