Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach.
Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach.
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DOI：
10.1371/journal.pone.0193138
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发表时间：
2018
期刊：
影响因子：
3.7
通讯作者：
López-Alvarenga JC
中科院分区：
文献类型：
--
作者：
Romero-Ibarguengoitia ME;Vadillo-Ortega F;Caballero AE;Ibarra-González I;Herrera-Rosas A;Serratos-Canales MF;León-Hernández M;González-Chávez A;Mummidi S;Duggirala R;López-Alvarenga JC
结构方程模型可以帮助理解肥胖、非酒精性脂肪性肝病(NAFLD)、肥胖家族史、靶向代谢组学和促炎标志物之间的复杂功能关系。我们测试了两个假设：1)如果肥胖先于游离脂肪酸的过量，从而增加氧化应激和线粒体功能障碍，那么肥胖者的血清酰肉碱、氨基酸和细胞因子就会增加。酰卡尼汀可能与非酒精性脂肪疾病有关，这种疾病会导致胰岛素抵抗。2)如果肥胖和2型糖尿病家族史是代谢谱的主要决定因素，则具有这种背景的患者的氨基酸和酰肉碱浓度较高，会导致肥胖和NAFLD，进而导致胰岛素抵抗。137名血糖正常的受试者，平均年龄30.61(8.6)岁，分为三组：BMI+lt；25例伴NAFLD(G1)，n=82；BMI+GT；30例伴NAFLD(G2)，n=24；BMI+GT；30例伴NAFLD(G3)，n=31。53%的人有肥胖(Any)家族史。两种模型均在扫描电子显微镜下进行了调整。肥胖家族史可以预测肥胖，但不能预测酰肉碱和氨基酸浓度(效应值0.2)，但可以预测肥胖表型。肥胖家族史是肥胖的主要预测因素，氨基酸、酰肉碱、炎症、胰岛素抵抗和非酒精性脂肪肝的代谢异常是肥胖的主要预测因素。
Structural equation modeling (SEM) can help understanding complex functional relationships among obesity, non-alcoholic fatty liver disease (NAFLD), family history of obesity, targeted metabolomics and pro-inflammatory markers. We tested two hypotheses: 1) If obesity precedes an excess of free fatty acids that increase oxidative stress and mitochondrial dysfunction, there would be an increase of serum acylcarnitines, amino acids and cytokines in obese subjects. Acylcarnitines would be related to non-alcoholic fatty disease that will induce insulin resistance. 2) If a positive family history of obesity and type 2 diabetes are the major determinants of the metabolomic profile, there would be higher concentration of amino acids and acylcarnitines in patients with this background that will induce obesity and NAFLD which in turn will induce insulin resistance. 137 normoglycemic subjects, mean age (SD) of 30.61 (8.6) years divided in three groups: BMI<25 with absence of NAFLD (G1), n = 82; BMI>30 with absence of NAFLD (G2), n = 24; and BMI>30 with NAFLD (G3), n = 31. Family history of obesity (any) was present in 53%. Both models were adjusted in SEM. Family history of obesity predicted obesity but could not predict acylcarnitines and amino acid concentrations (effect size <0.2), but did predict obesity phenotype. Family history of obesity is the major predictor of obesity, and the metabolic abnormalities on amino acids, acylcarnitines, inflammation, insulin resistance, and NAFLD.
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影响因子：
5.9
作者：
Li Y;Yao J;Han C;Yang J;Chaudhry MT;Wang S;Liu H;Yin Y
通讯作者：
Yin Y
影响因子：
6.9
作者：
Mihalik, Stephanie J.;Goodpaster, Bret H.;Kelley, David E.;Chace, Donald H.;Vockley, Jerry;Toledo, Frederico G. S.;DeLany, James P.
通讯作者：
DeLany, James P.
影响因子：
7.7
作者：
Morino, Katsutaro;Petersen, Kitt Falk;Shulman, Gerald I.
通讯作者：
Shulman, Gerald I.
影响因子：
5.6
作者：
Jung UJ;Choi MS
通讯作者：
Choi MS
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y