Evidence map›Paper›PMID 40635725›Full record

ArticleFood science & nutrition2025

MTA-TST Axis-Mediated Apoptosis Activation: A Multi-Omics Insight Into High-Protein Diet's Anti-Adiposity Effect.

Xinli Yang, Yueyue Wang, Zhe Shi, Aiting Wang, Jianglan Long, Dan Yan

Abstract read
In one paragraph

Article in Food science & nutrition, 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

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

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

6 authors.

Xinli YangCapital Medical University Affiliated Beijing Friendship Hospital State Key Laboratory of Digestive Health National Clinical Research Center for Digestive Disease Beijing China.
Yueyue WangBeijing Institute of Clinical Pharmacy, Beijing Friendship Hospital Capital Medical University Beijing China.
Zhe ShiBeijing Institute of Clinical Pharmacy, Beijing Friendship Hospital Capital Medical University Beijing China.
Aiting WangCapital Medical University Affiliated Beijing Friendship Hospital State Key Laboratory of Digestive Health National Clinical Research Center for Digestive Disease Beijing China.
Jianglan LongBeijing Institute of Clinical Pharmacy, Beijing Friendship Hospital Capital Medical University Beijing China.
Dan YanCapital Medical University Affiliated Beijing Friendship Hospital State Key Laboratory of Digestive Health National Clinical Research Center for Digestive Disease Beijing China.ORCID https://orcid.org/0000-0002-1288-4144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the mechanism of a high-protein diet (named high protein and rich fat diet, HPRFD) with weight loss effect regulating visceral fat metabolism through endogenous metabolites. Non-targeted metabonomics compared the spectrum of different metabolites in different groups of experimental mice, and targeted metabonomics examined the target metabolite in visceral adipose tissue (VAT). VAT transcriptomics identified differentially expressed genes. Multi-mics joint analysis identified target metabolites, genes, and their relationships. Functional annotation revealed shared signaling pathways. 3T3-L1 adipocytes were treated with metabolites to observe changes in morphology, mitochondrial function, and expression of key genes in the signal pathway. The gene knockdown experiment evaluated the changes in key metabolites in the above functions of cells. Molecular docking predicted metabolite-protein binding sites. The results showed that 5'-deoxy-5'-(methylthio)adenosine (MTA) was significantly elevated in the HPRFD group (

Indexed as

5′‐deoxy‐5′‐(methylthio)adenosineapoptosismitochondrial functionthiosulfate sulfotransferase genevisceral adipose tissue

Identifiers

PMID40635725
PMCPMC12238778

What OpenQuestion holds

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Registered trials

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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.