Evidence map›Paper›PMID 40244192›Full record

ArticleInternational journal of molecular sciences2025

Mechanisms of Adipose Tissue Metabolism in Naturally Grazing Sheep at Different Growth Stages: Insights from mRNA and miRNA Profiles.

Xige He, Yunfei Han, Lu Chen, Yueying Yun, Yajuan Huang, Gerelt Borjigin, Buhe Nashun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

7 authors.

Xige HeInner Mongolia Key Laboratory for Molecular Regulation of the Cell, Inner Mongolia University, Hohhot 010070, China.
Yunfei HanCollege of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0000-0003-2205-589X
Lu ChenCollege of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.
Yueying YunSchool of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou 014010, China.
Yajuan HuangCollege of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0009-0007-6145-2026
Gerelt BorjiginCollege of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0000-0001-6645-1101
Buhe NashunInner Mongolia Key Laboratory for Molecular Regulation of the Cell, Inner Mongolia University, Hohhot 010070, China.

Funding

China Agriculture Research System of MOF and MARA CARS38the Inner Mongolia Autonomous Region Science and Technology Plan Project 2019-2022the Natural Science Foundation of Inner Mongolia 2024QN03009
6 · The paper itself

Abstract

Adipose tissue metabolism plays a crucial role in sheep meat quality and the optimization of adipose tissue utilization. To reveal the molecular mechanisms of adipose tissue metabolism during growth in naturally grazing sheep, we investigated the mRNA and miRNA profiles in subcutaneous adipose tissue (SAT) from naturally grazing Sunit sheep at 6, 18, and 30 months of age (Mth-6, Mth-18, and Mth-30). We identified 927 differentially expressed (DE) genes and 134 DE miRNAs in the SAT of sheep at different growth stages. Specifically, the expressions of

Indexed as

Adipose TissueMicroRNAsRNA, MessengerAnimalsGene Expression ProfilingLipid MetabolismSheepTranscriptomeMicroRNAsRNA, Messengerfat depositionmiRNAmRNAOvis ariessubcutaneous adipose tissue

Identifiers

PMID40244192
PMCPMC11989906

What Socratic 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 Socratic graph.