Evidence map›Paper›PMID 41280421›Full record

ArticleFrontiers in veterinary science2025

Multi-omics insight into muscle quality divergence between high-altitude Bayinbuluke sheep and low-altitude Turpan black sheep.

Par Arshati Akhmiyati, Bin Chen, Yaling Yang, Lingling Liu, Wujun Liu

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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

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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

3 citing papers in PubMed.

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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

5 authors.

Par Arshati AkhmiyatiCollege of Animal Science, Xinjiang Agricultural University, Ürümqi, China.
Bin ChenCollege of Animal Science, Xinjiang Agricultural University, Ürümqi, China.
Yaling YangCollege of Animal Science, Xinjiang Agricultural University, Ürümqi, China.
Lingling LiuCollege of Animal Science, Xinjiang Agricultural University, Ürümqi, China.
Wujun LiuCollege of Animal Science, Xinjiang Agricultural University, Ürümqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify phenotypic biomarkers associated with high-altitude adaptation in Bayinbuluke sheep and to investigate the correlations between serum biochemical parameters and muscle transcriptomic, metabolomic, and proteomic profiles. Bayinbuluke sheep (raised at 3200 m) and Turpan black sheep (raised at-154 m) were selected for the experiment. The results demonstrated that, to adapt to the complex high-altitude hypoxic environment, Bayinbuluke sheep enhance glycolytic flux to rapidly generate energy, suppress intramuscular lipid synthesis, regulate lipid metabolic homeostasis to maintain energy balance, and remodel metabolic networks. Specifically, the GPAT3 gene promotes neutral cholesterol ester hydrolase 1 (NCEH1) through the glycerophospholipid metabolism pathway, facilitating the hydrolysis of cholesterol esters and fatty acid esters, thereby modulating systemic lipid metabolism. The FASN gene regulates energy metabolism via the AMPK signaling pathway, increasing the levels of glycolytic intermediates and markers such as nicotinamide adenine dinucleotide (NAD). Meanwhile, L-lactate dehydrogenase (LDHB) enhances the glycolytic process under hypoxic conditions through the HIF-1 signaling pathway, catalyzing the conversion between lactate and pyruvate in muscle tissue to produce energy, thereby supporting energy supply under high-altitude hypoxia. Additionally, the GSTA1 gene improves detoxification capability and antioxidant responses through the drug metabolism-other enzymes system, alleviating oxidative stress damage. This study systematically elucidates the molecular regulatory network underlying high-altitude adaptation in Bayinbuluke sheep, providing a theoretical foundation for enhancing the genetic adaptability of livestock resources in high-altitude environments.

Indexed as

Bayinbuluke sheepmetabolomicsproteomicstranscriptomicsTurpan black sheep

Identifiers

PMID41280421
PMCPMC12634325

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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.