Evidence map›Paper›PMID 41972572›Full record

ArticleBiology2026

miRNA Sequencing and Differential Analysis of Testes from 1-Year-Old and 3-Year-Old Kazakh Horses.

Qiuping Huang, Mingyue Wen, Liuxiang Wen, Qunchang Li, Yaqi Zeng, Jianwen Wang, Jun Meng, Wanlu Ren, Xinkui Yao

Abstract read
In one paragraph

Article in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Qiuping HuangCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Mingyue WenCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0000-4088-788X
Liuxiang WenCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Qunchang LiCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Yaqi ZengCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0000-1881-1221
Jianwen WangCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0001-7148-4557
Jun MengCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Wanlu RenCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0003-5822-8366
Xinkui YaoCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.

Funding

Local Science and Technology Development Fund ZYYD2025JD02National-level Entrepreneurship Training Program 202510758003XOpen Research Projects of the Xinjiang Key Laboratory of Equine Breeding and Exercise Physiology XJMFY202405
6 · The paper itself

Abstract

This study aims to elucidate the miRNA regulatory mechanisms during the developmental process of Kazakh horse testes at 1 and 3 years of age. Through miRNA sequencing and bioinformatics analysis of testicular tissues from 1-year-old and 3-year-old horses, a developmentally stage-specific miRNA expression profile was constructed. A total of 1640 miRNAs were identified, among which 437 (380 up-regulated and 57 down-regulated) exhibited significant differential expression between the two age groups, including eca-miR-16, eca-miR-17, eca-miR-103, and eca-miR-199a-5p. Functional enrichment analysis revealed that the target genes of these differentially expressed miRNAs were primarily involved in key processes such as oxidative stress response, hormone receptor signaling regulation, and cytoskeletal remodeling, suggesting that testicular maturation depends on a complex post-transcriptional regulatory network. Further KEGG analysis revealed significant enrichment of classic reproductive signaling pathways, including PI3K/AKT, Wnt/β-catenin, Hippo, and TGF-β, indicating their synergistic roles in spermatocyte proliferation/differentiation and testicular homeostasis establishment. Although limited by a small sample size, this study elucidates the molecular mechanisms underlying male reproductive maturation in Kazakh horses at the post-transcriptional regulatory network level, providing preliminary theoretical support and potential markers for evaluating stallion reproductive performance and molecular breeding.

Indexed as

DemiRNAsdevelopmentKazakh horsereproductiontestes

Identifiers

PMID41972572
PMCPMC13072160

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.