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

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.

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Publication Details

Journal
Molecular Genetics and Genomics
Published
2025-04-08
DOI
https://doi.org/10.1007/s00438-025-02243-9
Citations
8
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
7.49

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article

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

Xiaopeng Bai, Hongwei Cui, Yunqi Han, Ye Yu et al.
8 citations
Molecular Genetics and Genomics
Cancer, Hypoxia, and Metabolism
7.49
article

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

Xiaopeng Bai, Hongwei Cui, Yunqi Han, Ye Yu, Kai Li, Mei-Ling Peng, Xinyuan Tian
article en
8 citations

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.

Molecular Genetics and GenomicsVol. 300(1)
Second Affiliated Hospital of Inner Mongolia Medical University (CN), Baotou Central Hospital (CN), Hohhot First Hospital (CN), Baotou Medical College (CN), Fourth Hospital of Inner Mongolia (CN), Inner Mongolia Autonomous Region Hospital of Traditional Chinese Medicine (CN), Inner Mongolia Medical University (CN)
Inner Mongolia Medical University, Inner Mongolia University of Science and Technology, Inner Mongolia University, Ten Thousand Talent Plans for Young Top-notch Talents of Yunnan Province
Zero hunger
Openalex Percentile: Top 3%
Cancer, Hypoxia, and Metabolism
7.49
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