Evidence map›Paper›PMID 41300371›Full record

ArticleBiology2025

Cardiac-Metabolic Coupling Revealed by Lipid and Energy Metabolomics Determines 80 km Endurance Performance in Yili Horses.

Tongliang Wang, Jinlong Huang, Wanlu Ren, Jun Meng, Xinkui Yao, Hongzhong Chu, Runchen Yao, Manjun Zhai, Yaqi Zeng

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Tongliang WangCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0009-9889-5327
Jinlong HuangCollege 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
Jun MengCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0004-4211-0870
Xinkui YaoCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Hongzhong ChuXinjiang Yili Kazakh Autonomous Prefecture Animal Husbandry Station, Urumqi 835000, China.
Runchen YaoXinjiang Yili Kazakh Autonomous Prefecture Animal Husbandry Station, Urumqi 835000, China.
Manjun ZhaiCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0003-3573-4664
Yaqi ZengCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0000-1881-1221

Funding

Central Guidance Project for Local Science and Technology Development-(Research on the Regulation Mechanism of Horse Breeding and Athletic Performance) ZYYD2025JD02Key Laboratory of Horse Breeding and Exercise Physiology of Xinjiang Project XJMFY202401Major Science and Technology Project of Xinjiang Uygur Autonomous Region 2022A02013-1National Natural Science Foundation of China Youth Program 32202667The Youth Science Fund of the Natural Science Foundation of Xinjiang Uygur Autonomous Re-gion 2024D01B40
6 · The paper itself

Abstract

This study aimed to investigate the regulatory mechanisms underlying the relationship between cardiac structure and function and plasma metabolic characteristics in Yili horses participating in an 80-km endurance, by integrating echocardiography, lipidomics, and energy metabolomics analyses. Twenty four competing Yili horses were selected and divided based on competition outcomes: Pre-Completion Group: PCG (

Indexed as

cardiac structure and functionenduranceenergy metabolismlipidomics metabolismYili horse

Identifiers

PMID41300371
PMCPMC12650485

What OpenQuestion holds

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LicenceCC BY
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.