OBJECTIVE: Adipocytes, regulated by insulin, represent the major peripheral source of prolactin (PRL), which play a pivotal role in energy balance, acting on adipogenesis and lipolysis. The aim of this study was to investigate whether PRL was associated with obesity-related inflammatory status and metabolic parameters. The diagnostic and prognostic role of PRL for metabolic syndrome (MS) was assessed. The effects of short-term lifestyle therapy on PRL levels were evaluated. SUBJECTS: Prolactin was assessed in 94 obese patients and compared with 40 healthy children (HS).Patients were followed up for 1 year. Receiver operating characteristics (ROC) analysis was employed to find the best cut-off values capable of identifying MS in obese children for PRL, IL-6 and TNF-α. Kaplan-Meier curves were also generated. Adjusted risk estimates for MS were calculated using Cox proportional hazard regression analysis. An obesity intervention programme was administered for 12 months. RESULTS: Prolactin levels were lower in obese patients than controls (P < 0·0001). PRL was found to be inversely correlated with BMI, IL-6 and HOMA-IR, whereas a direct correlation was found with HDL values. At ROC analysis, PRL showed higher sensitivity and specificity than IL-6 and TNF-α in identifying MS in obese children. Cox proportional hazard regression analysis showed that PRL predicted MS independently of other potential confounders. The lifestyle intervention improved PRL and metabolic parameters. CONCLUSIONS: Prolactin represents a prognostic marker for obese children and a predictive factor for progression to MS. PRL measurement may be useful as part of the endocrine work-up of obese children.
OBJECTIVE: Adipocytes, regulated by insulin, represent the major peripheral source of prolactin (PRL), which play a pivotal role in energy balance, acting on adipogenesis and lipolysis. The aim of this study was to investigate whether PRL was associated with obesity-related inflammatory status and metabolic parameters. The diagnostic and prognostic role of PRL for metabolic syndrome (MS) was assessed. The effects of short-term lifestyle therapy on PRL levels were evaluated. SUBJECTS:Prolactin was assessed in 94 obesepatients and compared with 40 healthy children (HS).Patients were followed up for 1 year. Receiver operating characteristics (ROC) analysis was employed to find the best cut-off values capable of identifying MS in obesechildren for PRL, IL-6 and TNF-α. Kaplan-Meier curves were also generated. Adjusted risk estimates for MS were calculated using Cox proportional hazard regression analysis. An obesity intervention programme was administered for 12 months. RESULTS:Prolactin levels were lower in obesepatients than controls (P < 0·0001). PRL was found to be inversely correlated with BMI, IL-6 and HOMA-IR, whereas a direct correlation was found with HDL values. At ROC analysis, PRL showed higher sensitivity and specificity than IL-6 and TNF-α in identifying MS in obesechildren. Cox proportional hazard regression analysis showed that PRL predicted MS independently of other potential confounders. The lifestyle intervention improved PRL and metabolic parameters. CONCLUSIONS:Prolactin represents a prognostic marker for obesechildren and a predictive factor for progression to MS. PRL measurement may be useful as part of the endocrine work-up of obesechildren.
Authors: Selina Ahmed; Mohammed Abul Kashem; Ranjana Sarker; Eakhlas U Ahmed; Garth A Hargreaves; Iain S McGregor Journal: Neurochem Res Date: 2014-03-15 Impact factor: 3.996
Authors: Antonio J Ponce; Tomás Galván-Salas; Ricardo M Lerma-Alvarado; Xarubet Ruiz-Herrera; Tomás Hernández-Cortés; Rodrigo Valencia-Jiménez; Laura E Cárdenas-Rodríguez; Gonzalo Martínez de la Escalera; Carmen Clapp; Yazmín Macotela Journal: Endocrine Date: 2020-01-09 Impact factor: 3.633
Authors: Rui Wang; Christopher A Ross; Huan Cai; Wei-Na Cong; Caitlin M Daimon; Olga D Carlson; Josephine M Egan; Sana Siddiqui; Stuart Maudsley; Bronwen Martin Journal: Front Physiol Date: 2014-06-23 Impact factor: 4.566