Evidence map›Paper›PMID 42658018›Full record

ArticleReproduction in domestic animals = Zuchthygiene2026

Integration of Proteomics and Phenomics to Reveal Molecular Differences in High and Low Semen Quality in Donkeys.

Chen Ma, Yizaitiguli Reyimujiang, Yajun Guo, Siyu Chang, Hao Wu, Yang Pang, Cheng YuanWeiLu, Fanghao Yang, Yimeng Zhang, Nan Li and 2 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

12 authors.

Chen MaNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Yizaitiguli ReyimujiangNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Yajun GuoInner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China.ORCID https://orcid.org/0000-0002-5767-9929
Siyu ChangNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Hao WuNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Yang PangNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Cheng YuanWeiLuNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Fanghao YangNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Yimeng ZhangNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Nan LiNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Qing LiuLaboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Wuhan, China.
Shenming ZengNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.ORCID https://orcid.org/0000-0003-2188-6122

Funding

Shandong Provincial Key Research and Development Program (Agricultural Seed Industry Engineering) 2023LZGCQY020
6 · The paper itself

Abstract

This study investigated the phenotypic and molecular basis of semen-quality variation in donkeys by integrating semen-quality assessment, reproductive ultrasonography and proteomic analysis. High-quality semen (H) and low-quality semen (L) groups were classified according to semen-quality assessment with the parameters of total sperm count (TSC), total motility (TM), progressive motility (PM), acrosome integrity rate (AIR), mitochondrial membrane potential (MMP), sperm abnormality percentage (PSA) and reactive oxygen species (ROS). Our results showed that the H group had greater testicular circumference (TC; 30.20 ± 0.30 cm vs. 28.10 ± 0.40 cm, p < 0.01), long axis of the spermatic cord (LASC; 39.20 ± 4.00 mm vs. 33.50 ± 3.20 mm, p < 0.05), cross-sectional area of the cauda epididymis (CSACE; 352.80 ± 21.60 vs. 281.30 ± 41.80 mm

Indexed as

EquidaeSemen AnalysisAnimalsMaleProteomicsReactive Oxygen SpeciesSemenSpermatozoaSperm CountSperm MotilityTestisUltrasonographyReactive Oxygen Speciescandidate proteinsdonkeyproteomicsreproductive ultrasonographysemen quality

Identifiers

PMID42658018
PMCPMC13520825

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.