- Title
- New horizons in human sperm selection for assisted reproduction
- Creator
- Nixon, Brett; Schjenken, John E.; Burke, Nathan D.; Skerrett-Byrne, David A.; Hart, Hanah M.; De Iuliis, Geoffry N.; Martin, Jacinta H.; Lord, Tessa; Bromfield, Elizabeth G.
- Relation
- ARC.DE210100103 http://purl.org/au-research/grants/arc/DE210100103 | ARC|DE220100032 http://purl.org/au-research/grants/arc/DE220100032
- Relation
- Frontiers in Endocrinology Vol. 14
- Publisher Link
- http://dx.doi.org/10.3389/fendo.2023.1145533
- Publisher
- Frontiers Research Foundation
- Resource Type
- journal article
- Date
- 2023
- Description
- Male infertility is a commonly encountered pathology that is estimated to be a contributory factor in approximately 50% of couples seeking recourse to assisted reproductive technologies. Upon clinical presentation, such males are commonly subjected to conventional diagnostic andrological practices that rely on descriptive criteria to define their fertility based on the number of morphologically normal, motile spermatozoa encountered within their ejaculate. Despite the virtual ubiquitous adoption of such diagnostic practices, they are not without their limitations and accordingly, there is now increasing awareness of the importance of assessing sperm quality in order to more accurately predict a male’s fertility status. This realization raises the important question of which characteristics signify a high-quality, fertilization competent sperm cell. In this review, we reflect on recent advances in our mechanistic understanding of sperm biology and function, which are contributing to a growing armory of innovative approaches to diagnose and treat male infertility. In particular we review progress toward the implementation of precision medicine; the robust clinical adoption of which in the setting of fertility, currently lags well behind that of other fields of medicine. Despite this, research shows that the application of advanced technology platforms such as whole exome sequencing and proteomic analyses hold considerable promise in optimizing outcomes for the management of male infertility by uncovering and expanding our inventory of candidate infertility biomarkers, as well as those associated with recurrent pregnancy loss. Similarly, the development of advanced imaging technologies in tandem with machine learning artificial intelligence are poised to disrupt the fertility care paradigm by advancing our understanding of the molecular and biological causes of infertility to provide novel avenues for future diagnostics and treatments.
- Subject
- andrology diagnosis; biomarker; assisted reproductive technologies (ART); male infertility; sperm function assay; SDG 3; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1483907
- Identifier
- uon:51228
- Identifier
- ISSN:1664-2392
- Rights
- © 2023 Nixon, Schjenken, Burke, Skerrett-Byrne, Hart, De Iuliis, Martin, Lord and Bromfield. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
- Language
- eng
- Full Text
- Reviewed
- Hits: 875
- Visitors: 926
- Downloads: 58
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT02 | Publisher version (open access) | 3 MB | Adobe Acrobat PDF | View Details Download |