Evidence map›Paper›PMID 41463484›Full record

ArticleBiology2025

Differential Energy Metabolism in Skeletal Muscle Tissues of Yili Horses Based on Targeted Metabolomics and Transcriptomics Analysis.

Xueyan Li, Chen Meng, Yuheng Xue, Zhehong Shen, Wanlu Ren, Yaqi Zeng, Jun Meng

Abstract read
In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Xueyan LiCollege of Animal Science, Xinjiang Agricultural University, Urmuqi 830052, China.
Chen MengCollege of Animal Science, Xinjiang Agricultural University, Urmuqi 830052, China.ORCID 0009-0008-6673-5874
Yuheng XueCollege of Animal Science, Xinjiang Agricultural University, Urmuqi 830052, China.
Zhehong ShenCollege of Animal Science, Xinjiang Agricultural University, Urmuqi 830052, China.ORCID 0009-0002-0978-9127
Wanlu RenCollege of Animal Science, Xinjiang Agricultural University, Urmuqi 830052, China.
Yaqi ZengCollege of Animal Science, Xinjiang Agricultural University, Urmuqi 830052, China.ORCID 0009-0000-1881-1221
Jun MengCollege of Animal Science, Xinjiang Agricultural University, Urmuqi 830052, China.

Funding

graduate Research Innovation Project in Xinjiang Uygur Autonomous Region XJ2024G106partial research achievements of Xinjiang Key Laboratory of Horse Breeding and Exercise Physiology XJMFY202401the Central Guided Local Science and Technology Development Special Funds Project ZYYD2023C02Xinjiang Uygur Autonomous Region's Major Science and Technology Project 2022A02013-1
6 · The paper itself

Abstract

Skeletal muscle is the largest organ system in mammals. To investigate the differences in energy metabolism across various skeletal muscles in Yili horses, this study examined muscle fiber type distributions through immunohistochemical staining of muscles, including the splenius, triceps brachii, longissimus dorsi, and gluteus medius. The splenius and gluteus medius muscles, which exhibited the greatest differences in the proportion of slow-twitch fiber area, were selected for further comparison of differential metabolites and transcriptomic expression profiles between slow-twitch and fast-twitch fibers. A total of 27 energy metabolism-related differential metabolites, including pyruvate and lactate, were identified, along with 432 differentially expressed genes, such as PFKM and ALDOA. Additionally, 164 differentially expressed miRNAs, including miR-499 and miR-24-3p, were detected. We found highlighted differences in LDHA expression between the gluteus medius and splenius muscles, which may influence the conversion of fast and slow muscle fibers by modulating the glycolysis/gluconeogenesis pathway. The miRNA-mRNA targeting relationships established here warrant further validation. These findings provide valuable insights into the molecular mechanisms underlying energy metabolism differences in Yili horses.

Indexed as

energy metabolismskeletal muscleYili horse

Identifiers

PMID41463484
PMCPMC12730748

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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.