ArticleInternational journal of obesity (2005)2014
Inflammation and insulin resistance exert dual effects on adipose tissue tumor protein 53 expression.
Article in International journal of obesity (2005), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 27 citations in OpenAlex.
- Is Adipose Tissue Inflammation the Culprit of Obesity-Associated Comorbidities?Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Review
- Expression of p53 in human adipose tissue correlates positively with FAS and BMI.International journal of obesity (2005) · 2025Article
- Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.Frontiers in endocrinology · 2022Article
- O-GlcNAcylated p53 in the liver modulates hepatic glucose production.Nature communications · 2021Article
- Overexpression ofExperimental biology and medicine (Maywood, N.J.) · 2021Article
- Different Roles ofInternational journal of general medicine · 2021Article
- The Effects of Continuous and Withdrawal Voluntary Wheel Running Exercise on the Expression of Senescence-Related Genes in the Visceral Adipose Tissue of Young Mice.International journal of molecular sciences · 2020Article
- Metabolic functions of the tumor suppressor p53: Implications in normal physiology, metabolic disorders, and cancer.Molecular metabolism · 2020Review
- p53 Functions in Adipose Tissue Metabolism and Homeostasis.International journal of molecular sciences · 2018Review
- Role of cell cycle regulators in adipose tissue and whole body energy homeostasis.Cellular and molecular life sciences : CMLS · 2018Review
- The p53/Adipose-Tissue/Cancer Nexus.Frontiers in endocrinology · 2018Review
- Is p53 Involved in Tissue-Specific Insulin Resistance Formation?Oxidative medicine and cellular longevity · 2017Review
- Article
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe purpose of this study was to investigate the expression of human adipose tissue protein 53 (p53) in subjects who varied widely in terms of obesity and insulin resistance. We also analyzed different in vivo and in vitro models to try to comprehend the associations found in humans.
methodsp53 was analyzed in human adipose and isolated adipocytes, in high fat-fed and GLP-1R KO mice, during in vitro adipogenesis, and in adipocytes after high glucose, rosiglitazone and inflammatory conditions. The effects of surgery-induced weight loss and ex vivo metformin were also evaluated.
resultsOmental (OM) p53 gene expression (+27%, P=0.001) and protein (+11%, P=0.04) were increased in obese subjects and high fat diet-induced obese mice (+86%, P=0.018). Although the obesity-associated inflammatory milieu was associated with increased OM p53, this was negatively related to insulin resistance and glycated hemoglobin, and positively with biomarkers for insulin sensitivity. Multiple linear regression analyses revealed that glycated hemoglobin (P<0.0001) and body mass index (P=0.048) contributed independently to explain 13.7% (P<0.0001) of the OM p53 variance. Accordingly, the improvement of insulin sensitivity with surgery-induced weight loss (+51%, P=0.01) and metformin (+42%, P=0.02) led to increased adipose p53. While the glucose-intolerant GLP-1R KO mice showed decreased mesenteric p53 (-45.4%, P=0.017), high glucose led to decreased p53 in pre-adipocytes (-27%, P<0.0001). Inflammatory treatments led to increased p53 (+35%, P<0.0001), while Rs downregulated this expression (-40%, P=0.005) in mature adipocytes.
conclusionInflammation and insulin resistance exert dual effects on adipose p53, which seems to be the final result of these opposing forces.
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Registered trials
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.