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In utero exposure to gestational diabetes mellitus and cardiovascular risk factors in youth: A longitudinal analysis in the EPOCH cohort.子宫内暴露于妊娠期糖尿病与青少年心血管危险因素:EPOCH队列的纵向分析
Pediatr Obes. 2020 May;15(5):e12611. doi: 10.1111/ijpo.12611. Epub 2020 Jan 9.
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A prospective study of associations between in utero exposure to gestational diabetes mellitus and metabolomic profiles during late childhood and adolescence.一项关于宫内暴露于妊娠糖尿病与儿童晚期和青少年期代谢组学特征之间关联的前瞻性研究。
Diabetologia. 2020 Feb;63(2):296-312. doi: 10.1007/s00125-019-05036-z. Epub 2019 Nov 13.
3
Western Dietary Pattern Derived by Multiple Statistical Methods Is Prospectively Associated with Subclinical Carotid Atherosclerosis in Midlife Women.采用多种统计方法得出的西方饮食模式与中年女性亚临床颈动脉粥样硬化呈前瞻性相关。
J Nutr. 2020 Mar 1;150(3):579-591. doi: 10.1093/jn/nxz270.
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Development of a Plasma Screening Panel for Pediatric Nonalcoholic Fatty Liver Disease Using Metabolomics.利用代谢组学开发用于儿童非酒精性脂肪性肝病的血浆筛查面板
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Sex Differences in Nonalcoholic Fatty Liver Disease: State of the Art and Identification of Research Gaps.非酒精性脂肪性肝病的性别差异:现状与研究空白的识别。
Hepatology. 2019 Oct;70(4):1457-1469. doi: 10.1002/hep.30626. Epub 2019 Sep 23.
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青少年非酒精性脂肪性肝病的性别特异性代谢生物标志物:EPOCH 队列的前瞻性研究。

Sex-Specific Metabolite Biomarkers of NAFLD in Youth: A Prospective Study in the EPOCH Cohort.

机构信息

Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora Colorado.

Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Colorado.

出版信息

J Clin Endocrinol Metab. 2020 Sep 1;105(9):e3437-50. doi: 10.1210/clinem/dgaa467.

DOI:10.1210/clinem/dgaa467
PMID:32687159
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7418446/
Abstract

CONTEXT

Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease in developed nations. There are currently no accurate biomarkers of NAFLD risk in youth.

OBJECTIVE

Identify sex-specific metabolomics biomarkers of NAFLD in a healthy cohort of youth.

DESIGN/SETTING: This prospective study included 395 participants of the EPOCH cohort in Colorado, who were recruited 2006-2009 ("T1 visit") and followed for 5 years ("T2 visit"). We entered 767 metabolites measured at T1 into a reduced rank regression model to identify the strongest determinants of hepatic fat fraction (HFF) at T2, separately for boys and girls. We compared the capacity of metabolites versus conventional risk factors (overweight/obesity, insulin, alanine transaminase, aspartate transaminase) to predict NAFLD (HFF ≥5%) and high HFF (fourth vs first quartile) using area under the receiver operating characteristic curve (AUC).

RESULTS

Prevalence of NAFLD was 7.9% (8.5% of boys, 7.1% of girls). Mean ± SD HFF was 2.5 ± 3.1%. We identified 13 metabolites in girls and 10 metabolites in boys. Metabolites were in lipid, amino acid, and carbohydrate metabolism pathways. At T1, the metabolites outperformed conventional risk factors in prediction of high HFF but not NAFLD. At T2, the metabolites were superior to conventional risk factors as predictors of high HFF (AUC for metabolites vs conventional risk factors for boys: 0.9565 vs 0.8851, P = 0.02; for girls: 0.9450 vs 0.8469, P = 0.02) with similar trends for NAFLD, although the differences were not significant.

CONCLUSIONS

The metabolite profiles identified herein are superior predictors of high HFF when assessed 5 years prior and concurrently in a general-risk setting.

摘要

背景

非酒精性脂肪性肝病(NAFLD)是发达国家慢性肝病的主要原因。目前,青少年 NAFLD 风险尚无准确的生物标志物。

目的

确定健康青少年人群中 NAFLD 的性别特异性代谢组学生物标志物。

设计/设置:本前瞻性研究纳入了科罗拉多州 EPOCH 队列的 395 名参与者,他们于 2006-2009 年(“T1 访视”)招募,并随访 5 年(“T2 访视”)。我们将 T1 时测量的 767 种代谢物输入降秩回归模型,以分别确定男孩和女孩 T2 时肝脂肪分数(HFF)的最强决定因素。我们比较了代谢物与传统危险因素(超重/肥胖、胰岛素、丙氨酸转氨酶、天冬氨酸转氨酶)预测 NAFLD(HFF≥5%)和高 HFF(第四四分位与第一四分位)的能力,采用接受者操作特征曲线下面积(AUC)。

结果

NAFLD 的患病率为 7.9%(男孩 8.5%,女孩 7.1%)。平均±SD HFF 为 2.5±3.1%。我们在女孩中鉴定出 13 种代谢物,在男孩中鉴定出 10 种代谢物。代谢物存在于脂质、氨基酸和碳水化合物代谢途径中。在 T1 时,代谢物在预测高 HFF 方面优于传统危险因素,但不能预测 NAFLD。在 T2 时,代谢物作为高 HFF 的预测因子优于传统危险因素(男孩代谢物与传统危险因素的 AUC 为 0.9565 与 0.8851,P=0.02;女孩为 0.9450 与 0.8469,P=0.02),NAFLD 也有类似趋势,但差异无统计学意义。

结论

在一般风险环境中,在评估前 5 年和同期进行评估时,本文确定的代谢物谱是高 HFF 的更好预测因子。