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Polymerase I and transcript release factor (PTRF) regulates adipocyte differentiation and determines adipose tissue
Sergio Perez-Diaz1, Lance A Johnson2, Robert M DeKroon3
1Adipocyte and Fat Biology Laboratory (AdipoFat), Unidad de Investigación Traslacional, Instituto Aragonés de Ciencias de la Salud (IACS), Hospital Universitario Miguel Servet, Zaragoza, Spain;
Polymerase I and transcript release factor (PTRF) limits adipose tissue expansion, impacting glucose tolerance and metabolic syndrome. PTRF may serve as a marker for pathological obesity and guide clinical management.
Area of Science:
- Metabolic Syndrome Research
- Adipose Tissue Biology
- Cellular Regulation
Background:
- Impaired adipogenesis limits adipose tissue expansion, causing lipotoxicity, diabetes, and cardiovascular disease.
- Factors limiting adipose tissue expansion are not fully understood.
- Obesity models reveal varying glucose tolerance statuses.
Purpose of the Study:
- To investigate factors limiting adipose tissue expansion.
- To determine the role of Polymerase I and transcript release factor (PTRF) in adipocyte regulation and metabolic health.
- To assess PTRF as a potential biomarker for pathological obesity.
Main Methods:
- Proteomic analysis of subcutaneous adipose tissue in mice models of metabolic syndrome.
- Overexpression of PTRF in 3T3-L1 adipocytes via lentiviral and pharmacological methods.
- Correlation analysis of PTRF mRNA levels with lipolysis, senescence markers, and telomere length in human adipose tissue.
Main Results:
- PTRF expression selectively correlated with glucose tolerance status in obese mice.
- Overexpression of PTRF compromised adipocyte differentiation.
- In human adipose tissue, PTRF mRNA levels positively correlated with lipolysis and senescence markers and negatively with telomere length.
Conclusions:
- PTRF is associated with limited adipose tissue expansion, highlighting the role of caveolae in adipocyte regulation.
- PTRF may serve as an adipocyte marker for predicting pathological obesity.
- Findings may inform clinical management strategies for metabolic disorders.
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