Evidence mapPaperPMID 42293206Full record

ReviewFrontiers in nutrition2026

The context-dependent roles of PPAR-γ in adipocyte differentiation and obesity: a master regulator with dual functions.

Xiaoli Hou, Yiqiu Chen, Weixia Dong, Xiao Li, Shaoping Ji

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2026. 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. Review
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.

Xiaoli HouCenter for Molecular Medicine, Zhengzhou Health College, Zhengzhou, Henan, China.
Yiqiu ChenCenter for Molecular Medicine, Zhengzhou Health College, Zhengzhou, Henan, China.
Weixia DongCenter for Molecular Medicine, Zhengzhou Health College, Zhengzhou, Henan, China.
Xiao LiCenter for Molecular Medicine, Zhengzhou Health College, Zhengzhou, Henan, China.
Shaoping JiCenter for Molecular Medicine, Zhengzhou Health College, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity has become a global public health crisis. It is characterized by pathological proliferation of adipose tissue resulting from an energy metabolism imbalance. Adipocyte differentiation is the core process driving this proliferation and is tightly regulated by a complex molecular network. Peroxisome proliferator-activated receptor gamma (PPAR-γ) is the primary regulator of adipocyte differentiation. It also plays a key regulatory role in lipid and glucose metabolism as well as inflammatory responses. Its dysregulation is closely associated with the onset and progression of obesity. This review goes beyond a descriptive summary of PPAR-γ's role in adipogenesis and instead focuses on the context-dependent roles of this factor in the pathophysiology of obesity. This article maps the upstream and downstream molecular networks regulating PPAR-γ activity. It also analyzes the dual and even opposing functions that PPAR-γ exhibits under different physiological and pathological conditions. By integrating cutting-edge research advances, this review further elucidates the tissue-specific mechanisms of PPAR-γ and evaluates the therapeutic potential of targeting this pathway in obesity interventions. This review aims to provide a theoretical framework for understanding the mechanisms by which PPAR-γ dysfunction contributes to the development of obesity. It offers a reference for the development of precision treatment strategies for obesity and related metabolic diseases.

Indexed as

chronic inflammationinsulin resistancemetabolic syndromeobesityPPAR-γ signalingtherapeutic target

Identifiers

PMID42293206
PMCPMC13254172

What Socratic 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 Socratic graph.