Evidence map›Paper›PMID 40198404›Full record

ArticleMolecular genetics and genomics : MGG2025

PPAR γ changing ALDH1A3 content to regulate lipid metabolism and inhibit lung cancer cell growth.

Xinyuan Tian, Xiaoping Bai, Yunqi Han, Yu Ye, Meiling Peng, Hongwei Cui, Kai Li

Abstract read
In one paragraph

Article in Molecular genetics and genomics : MGG, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Nutrients · 2026
    Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. 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

7 authors.

Xinyuan Tian *School of Pharmacy, Inner Mongolia Medical University, Hohhot, 010107, Inner Mongolia Autonomous Region, China.ORCID http://orcid.org/0009-0004-8677-6586
Xiaoping Bai *Department of Radiation Oncology, Baotou Cancer Hospital, Baotou, 014030, Inner Mongolia Autonomous Region, China.
Yunqi Han *The Fourth Hospital of Inner Mongolia Autonomous Region, Hohhot, 010107, Inner Mongolia Autonomous Region, China.
Yu YePeking University Cancer Hospital (Inner Mongolia Campus) and Affiliated Cancer Hospital of Inner Mongolia Medical University, Hohhot, 010107, Inner Mongolia Autonomous Region, China.
Meiling PengHohhot First Hospital, Hohhot, 010107, Inner Mongolia Autonomous Region, China.
Hongwei CuiPeking University Cancer Hospital (Inner Mongolia Campus) and Affiliated Cancer Hospital of Inner Mongolia Medical University, Hohhot, 010107, Inner Mongolia Autonomous Region, China. 20060034@immu.edu.cn.
Kai LiDepartment of Oncology, The Second Afliated Hospital of Baotou Medical College, Baotou, 014030, Inner Mongolia Autonomous Region, China. likai796@163.com.

Funding

aotou City Health Science and Technology Plan wsjkkj045Inner Mongolia Autonomous Region 'Grassland Talent' project youth innovation and entrepreneurship talent project 2022073Inner Mongolia University of Science and Technology NJYT23050Ten Thousand Talent Plans for Young Top-notch Talents of Yunnan Province ZY0202031
6 · The paper itself

Abstract

PPAR γ, as a widely present receptor in tissues, plays a key role in lipid metabolism, energy balance, inflammatory response, and cell differentiation. It plays an important role in the occurrence and development of various tumors, including prostate cancer, gastric cancer, lung cancer, etc., by regulating lipid metabolism. However, the specific mechanism by which it affects lung cancer growth is not yet clear. To investigate how PPAR γ affects lung cancer cell growth by altering ALDH1A3 levels through its impact on lipid metabolism. Bioinformatics analysis was used to predict the correlation between PPAR γ, ALDH1A3 and lung cancer. Based on the results of bioinformatics analysis, PPAR γ activator (Pioglitazone, Pio) and ALDH1A3 inhibitor (diethylaminobenzaldehyde, DEAB) were used to act on lung cancer cells and observe their growth. After measuring the IC50 value of the drug in vitro experiments, lipid metabolomics analysis was conducted to identify the significant changes in differential metabolites and metabolic pathways under the combined influence of Pio and DEAB. Through bioinformatics analysis, it was found that there were significant differences in the levels of PPAR γ and ALDH1A3 between lung cancer and normal lung tissues, and ALDH1A3 was positively correlated with PPAR γ. AUC analysis found that PPAR γ and ALDH1A3 have good predictive value in the diagnosis and prognosis of lung cancer. GSEA enrichment analysis showed that PPAR γ and ALDH1A3 were significantly correlated with lipid oxidation. Combining relevant literature to demonstrate the inhibitory effect of PPAR γ receptors on lung cancer cells and the ability of PPAR γ activation to inhibit ALDH1A3 levels. Further in vitro CCK-8 and IC50 measurements of lung cancer cells A549 and H1299 were conducted, followed by non targeted lipidomics analysis. It was found that the metabolic pathways upregulated by activation of PPAR γ and inhibition of ALDH1A3 included glycerophospholipid metabolism, cholesterol metabolism, arachidonic acid metabolism, and fat digestion and absorption, with glycerophospholipid metabolism pathway accounting for the highest percentage. Conclusion: PPAR γ activation can inhibit the production of ALDH1A3, alter the glycerophospholipid metabolism pathway, and thus inhibit the proliferation of lung cancer cells. This study confirms that PPAR γ affects lung cancer proliferation by influencing the glycerophospholipid metabolism pathway.

Indexed as

Aldehyde OxidoreductasesLipid MetabolismLung NeoplasmsPPAR gammaCell Line, TumorCell ProliferationGene Expression Regulation, NeoplasticHumansPioglitazonealdehyde dehydrogenase (NAD(P)+)Aldehyde OxidoreductasesPioglitazonePPAR gammaPPARG protein, humanALDH1A3IntroduceLipid metabolismLung cancerPPARγ

Identifiers

PMID40198404
PMCPMC11978687

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.