Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada.
Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada.
Sci Rep. 2020 Mar 13;10(1):4711. doi: 10.1038/s41598-020-61520-2.
Survivors of Childhood Brain Tumors (SCBT) are at a higher risk of developing cardiovascular disease and type 2 diabetes compared to the general population. Adiposity is an important risk factor for the development of these outcomes, and identifying biomarkers of adiposity may help the stratification of survivors based on their cardiovascular risk or allow for early screening and interventions to improve cardiometabolic outcomes. Leptin is an adipokine that positively correlates with the adipose mass in the general population and is a predictor of adverse cardiometabolic outcomes, yet its association with adiposity in SCBT has not been studied. The aim of this study was to determine if leptin levels are associated with the adipose mass in SCBT, and to define its predictors. This cross-sectional study included 74 SCBT (n = 32 females) with 126 non-cancer controls (n = 59 females). Total adiposity was measured using Bioelectrical Impendence Analysis (BIA) and central adiposity was measured using waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR). We used multivariable linear regression analysis to determine if leptin predicts adiposity in SCBT and adjusted for age, sex, puberty, and cancer status. Leptin correlated strongly with total (p < 0.001) and central (WHR p = 0.001; WHtR p < 0.001) adiposity in SCBT and non-cancer controls. In conclusion, leptin is a potential biomarker for adiposity in SCBT, and further investigation is needed to clarify if leptin is a predictor of future cardiometabolic risk in SCBT.
儿童脑肿瘤幸存者(SCBT)比一般人群更容易患心血管疾病和 2 型糖尿病。肥胖是这些疾病发生的重要危险因素,识别肥胖的生物标志物可以帮助根据心血管风险对幸存者进行分层,或者允许早期筛查和干预以改善心脏代谢结局。瘦素是一种脂肪因子,与一般人群中的脂肪质量呈正相关,是不良心脏代谢结局的预测因子,但它与 SCBT 中肥胖的关系尚未得到研究。本研究旨在确定瘦素水平是否与 SCBT 中的脂肪质量相关,并确定其预测因素。这项横断面研究包括 74 名 SCBT(n=32 名女性)和 126 名非癌症对照(n=59 名女性)。总脂肪量使用生物电阻抗分析法(BIA)测量,中心脂肪量使用腰臀比(WHR)和腰高比(WHtR)测量。我们使用多变量线性回归分析来确定瘦素是否可以预测 SCBT 中的肥胖,并根据年龄、性别、青春期和癌症状况进行调整。瘦素与 SCBT 和非癌症对照中的总(p<0.001)和中心(WHR p=0.001;WHtR p<0.001)脂肪量呈强相关。总之,瘦素是 SCBT 中肥胖的潜在生物标志物,需要进一步研究以阐明瘦素是否是 SCBT 未来心脏代谢风险的预测因子。