Evidence map›Paper›PMID 42188947›Full record

ArticleVeterinary sciences2026

Comparative Hepatic Transcriptomic Analysis Reveals Metabolic Regulatory Differences Between Qilian and Oula Sheep.

Yaxiong Ren, Qi-Tala An, Xiaohua Du, Xia Liu, Fanhong Gao, Yuan Li, Ying Xu, Liangwei Yao, Wenhao Li

Abstract read
In one paragraph

Article in Veterinary sciences, 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

9 authors.

Yaxiong RenCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China.
Qi-Tala AnCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China.
Xiaohua DuCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0000-0001-6787-2151
Xia LiuCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Fanhong GaoCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China.
Yuan LiCollege of Animal Science, Xizang Agricultural and Animal Husbandry University, Linzhi 860000, China.
Ying XuAcademy of Animal and Veterinary Sciences, Qinghai University, Xining 810016, China.
Liangwei YaoAcademy of Animal and Veterinary Sciences, Qinghai University, Xining 810016, China.
Wenhao LiCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China.

Funding

Qinghai University 2025-NK-P47
6 · The paper itself

Abstract

Qilian sheep are an important indigenous Tibetan sheep breed adapted to cold and hypoxic environments. To explore hepatic nutrient metabolism in Qilian sheep, this study compared liver transcriptomic profiles between Qilian sheep and Oula sheep raised under similar natural grazing and management conditions. Six 10-month-old ewes from each breed were selected, and three high-quality liver RNA samples from each group were used for transcriptome sequencing. A total of 1640 differentially expressed genes were identified using the thresholds of |log2FoldChange| > 1 and false discovery rate < 0.05, including 922 upregulated and 718 downregulated genes in Qilian sheep compared with Oula sheep. KEGG enrichment analysis showed that these genes were mainly associated with lipid metabolism, amino acid metabolism, the PPAR signaling pathway, fatty acid biosynthesis, and fatty acid β-oxidation. qRT-PCR validation confirmed the differential expression of 11 candidate genes, including

Indexed as

lipidmetabolismplateauPPARvalidationβ-oxidation

Identifiers

PMID42188947
PMCPMC13211359

What OpenQuestion holds

Textmetadata
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.