ArticleJournal of animal science and biotechnology2022
Establishment of a male fertility prediction model with sperm RNA markers in pigs as a translational animal model.
Article in Journal of animal science and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Capacitation-Induced Zinc Ion Flux and Sperm Plasma Membrane Remodeling Predict Porcine In Vitro Fertilization Cleavage Success.Molecular reproduction and development · 2026Article
- Beyond swimming: emerging parameters for predicting the fertility of mouse spermatozoa.Lab animal · 2025Review
- Review
- Integrative pigGTEx resource with GWAS reveals genetic mechanism underlying semen quality in boars.Journal of animal science and biotechnology · 2025Article
- Exploration of Small Non-Coding RNAs as Molecular Markers of Ram Sperm Fertility.International journal of molecular sciences · 2025Article
- Development of a novel calculator to predict gonadotropin dose and oocyte yield in oocyte cryopreservation cycles.Journal of assisted reproduction and genetics · 2025Article
- Molecular Characterization and Expression ofAnimals : an open access journal from MDPI · 2025Article
- Proteomic analysis of Toraya buffalo seminal plasma and sperm: uncovering insights to optimize reproductive success.Frontiers in veterinary science · 2025Article
- Diagnostic value of oxidation-reduction potential for male infertility: a systematic review and meta-analysis.Translational andrology and urology · 2024Article
- Genome-wide association study identifies genomic regions associated with key reproductive traits in Korean Hanwoo cows.BMC genomics · 2024Article
- The Application of Ejaculate-Based Shotgun Proteomics for Male Infertility Screening.Biomedicines · 2023Article
- Bull Sperm SWATH-MS-Based Proteomics Reveals Link between High Fertility and Energy Production, Motility Structures, and Sperm-Oocyte Interaction.Journal of proteome research · 2023Article
- Integration of omics studies indicates that species-dependent molecular mechanisms govern male fertility.Journal of animal science and biotechnology · 2023Article
- Development of a biomolecular approach to identify sperm functions and fertility using sperm RNAs.Frontiers in cell and developmental biology · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMale infertility is an important issue that causes low production in the animal industry. To solve the male fertility crisis in the animal industry, the prediction of sperm quality is the most important step. Sperm RNA is the potential marker for male fertility prediction. We hypothesized that the expression of functional genes related to fertilization will be the best target for male fertility prediction markers. To investigate optimum male fertility prediction marker, we compared target genes expression level and a wide range of field data acquired from artificial insemination of boar semen.
resultsAmong the genes related to acrosomal vesicle exocytosis and sperm-oocyte fusion, equatorin (EQTN), zona pellucida sperm-binding protein 4 (ZP4), and sperm acrosome membrane-associated protein 3 exhibited high accuracy (70%, 90%, and 70%, respectively) as markers to evaluate male fertility. Combinations of EQTN-ZP4, ZP4-protein unc-13 homolog B, and ZP4-regulating synaptic membrane exocytosis protein 1 (RIMS1) showed the highest prediction value, and all these markers are involved in the acrosome reaction.
conclusionThe EQTN-ZP4 model was efficient in clustering the high-fertility group and may be useful for selection of animal that has superior fertility in the livestock industry. Compared to the EQTN-ZP4 model, the ZP4-RIMS1 model was more efficient in clustering the low-fertility group and may be useful in the diagnosis of male infertility in humans and other animals. The appointed translational animal model and established biomarker combination can be widely used in various scientific fields such as biomedical science.
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