Introduction: Gene expression profiles in human peripheral blood mononuclear cells (PBMCs) may act as a useful tool to better understand obesity. We investigated gene expression levels in PMBCs for possible differences between obese and non-obese subjects (19-55 years) and evaluated correlations between gene expression in PBMCs and clinical obesity indices. Methods: Body weight, BMI, fat amount, fat percentage, waist/hip ratio, leptin, and adiponectin levels were determined in 30 obese and 20 non-obese subjects. Expression levels of 19 genes, which were differentially expressed by clinical obesity indices in the PBMCs of high fat-fed rats, were determined in their PBMCs using real-time PCR. Results: The expression of 9 of 19 previously selected genes was significantly correlated with one or more clinical obesity indices. Both TFEC and CCL2 expression were negatively correlated with BMI, fat amount, fat percentage, waist/hip ratio, and leptin concentration. Similarly, TNFAIP2, VCAN, ASSI, IRF1, and HK3 expression negatively correlated with some clinical obesity indices, such as TNFAIP2 for BMI, fat amount, fat percentage, and waist/hip ratio, VCAN for fat amount, fat percentage, and waist/hip ratio, ASS1 for BMI and fat amount, IRF1 for BMI, fat amount, and fat percentage, and HK3 for fat amount. In contrast, both TNF-α and LPL expression were positively correlated with waist/hip ratio. Conclusion: We identified 9 of 19 genes in human PBMCs that significantly correlated with one or more clinical obesity indices. Because these genes have a mechanistic basis for the development or progression of obesity and its metabolic derangements, they may help to determine possible underlying mechanisms for obesity.
|Number of pages||11|
|Publication status||Published - 2020 Jul 1|
Bibliographical noteFunding Information:
This research was supported by the BK21 Plus Program of the National Research Foundation of Korea (NRF) (10Z20130000017).
© 2020 The Author(s) Published by S. Karger AG, Basel.
All Science Journal Classification (ASJC) codes
- Health(social science)
- Physiology (medical)