期刊
ENDOCRINE CONNECTIONS
卷 10, 期 4, 页码 484-491出版社
BIOSCIENTIFICA LTD
DOI: 10.1530/EC-21-0040
关键词
prolactin; obesity; metabolically healthy obesity; insulin resistance
资金
- Beijing Talents foundation [2018-12]
- Chinese National Natural Science Foundation [81770792]
- Key Projects of Science and Technology Planning of Beijing Municipal Education Commission [KZ201810025038]
The study found that obese individuals with metabolically healthy obesity (MHO) had higher levels of prolactin (PRL) and better metabolic profiles compared to those with metabolically unhealthy obesity (MUHO). Additionally, severe MUHO group had significantly reduced PRL levels. Multivariable logistic regression analysis showed that PRL was an independent predictor of MHO.
Objective: Prolactin (PRL) has been demonstrated as a metabolic hormone to regulate energy metabolism recently. The present study aims to investigate the association between PRL and metabolic alterations in different obesity phenotypes. Methods: A total of 451 drug-naive participants were recruited, comprising 351 obese patients and 100 age- and sex-matched healthy participants with normal weight. PRL, anthropometric, and clinical parameters were measured. Results: In the obesity group, 15.1% (53/351) were categorized as 'metabolically healthy obesity (MHO)'. Besides favorable blood pressure, glucose, and lipids profiles, the MHO group exhibited increased PRL, and lower levels of high-sensitivity C-reactive protein (hsCRP), homeostasis model assessment of insulin resistance (HOMA-IR), and adipose tissue insulin resistance (adipo-IR) than the metabolically unhealthy obesity (MUHO) group (PRL, HOMA-IR, and adipo-IR: P < 0.01; hsCRP: P < 0.05). The severe MUHO group showed significantly decreased PRL levels than the mild MUHO group (P < 0.05). Multivariate linear regression analysis indicated that fasting plasma glucose (FBG) and adipo-IR were significantly associated with PRL (FBG: beta = -0.263, P < 0.05; adipo-IR: beta = -0.464, P < 0.01). Multivariable logistic regression analysis showed that hsCRP (OR = 0.824) and PRL (OR = 1.211) were independent predictors of MHO (all P < 0.01). Conclusion: The MHO group had significantly increased circulating PRL levels when compared with the control and MUHO groups, and multivariable logistic regression analysis showed that PRL was independent predictors of MHO. Our findings suggested that increased circulating PRL might be a compensatory response for favoring energy metabolism during obesity.
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