Plasma Free Amino Acid Profiles Predict Four-Year Risk of Developing Diabetes, Metabolic Syndrome, Dyslipidemia, and Hypertension in Japanese Population.
Plasma Free Amino Acid Profiles Predict Four-Year Risk of Developing Diabetes, Metabolic Syndrome, Dyslipidemia, and Hypertension in Japanese Population.
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DOI：
10.1038/srep11918
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发表时间：
2015-07-09
影响因子：
4.6
通讯作者：
Ishizaka Y
中科院分区：
文献类型：
--
作者：
Yamakado M;Nagao K;Imaizumi A;Tani M;Toda A;Tanaka T;Jinzu H;Miyano H;Yamamoto H;Daimon T;Horimoto K;Ishizaka Y
血浆游离氨基酸（PFAA）与内脏性肥胖、高胰岛素血症和未来糖尿病的关系得到了强调。事实上，除了糖尿病之外，PFAA分析还可能评估个人未来患生活方式相关疾病的风险。然而，很少有研究，特别是在亚洲人群中，对评估健康风险的PFAAs的最佳组合进行研究。我们量化了3701名日本受试者的PFAA水平，并分别测定了865名和1160名受试者的内脏脂肪面积（VFA）和激发后2小时胰岛素（Ins120 min）值。然后，通过变量选择的多元线性回归分析，构建PFAA水平与VFA或Ins120 min值之间的模型。最后，对2,984名受试者进行了一项队列研究，以检验所获得的模型在预测四年新发生活方式相关疾病风险方面的能力。所得PFAA模型与VFA或Ins120 min的相关系数均高于单一PFAA水平。我们的模型对未来的风险预测很有效。即使在调整了普遍接受的多种危险因素后，这些模型也可以预测糖尿病、代谢综合征和血脂异常的未来发展。除了目前已知的日本普通人群中与生活方式相关的疾病风险增加的因素外，PFAA概况赋予了独立和不同的贡献。
Plasma free amino acid (PFAA) profile is highlighted in its association with visceral obesity and hyperinsulinemia, and future diabetes. Indeed PFAA profiling potentially can evaluate individuals’ future risks of developing lifestyle-related diseases, in addition to diabetes. However, few studies have been performed especially in Asian populations, about the optimal combination of PFAAs for evaluating health risks. We quantified PFAA levels in 3,701 Japanese subjects, and determined visceral fat area (VFA) and two-hour post-challenge insulin (Ins120 min) values in 865 and 1,160 subjects, respectively. Then, models between PFAA levels and the VFA or Ins120 min values were constructed by multiple linear regression analysis with variable selection. Finally, a cohort study of 2,984 subjects to examine capabilities of the obtained models for predicting four-year risk of developing new-onset lifestyle-related diseases was conducted. The correlation coefficients of the obtained PFAA models against VFA or Ins120 min were higher than single PFAA level. Our models work well for future risk prediction. Even after adjusting for commonly accepted multiple risk factors, these models can predict future development of diabetes, metabolic syndrome, and dyslipidemia. PFAA profiles confer independent and differing contributions to increasing the lifestyle-related disease risks in addition to the currently known factors in a general Japanese population.
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影响因子：
3.7
作者：
Miyagi Y;Higashiyama M;Gochi A;Akaike M;Ishikawa T;Miura T;Saruki N;Bando E;Kimura H;Imamura F;Moriyama M;Ikeda I;Chiba A;Oshita F;Imaizumi A;Yamamoto H;Miyano H;Horimoto K;Tochikubo O;Mitsushima T;Yamakado M;Okamoto N
通讯作者：
Okamoto N
影响因子：
3.7
作者：
Macotela Y;Emanuelli B;Bång AM;Espinoza DO;Boucher J;Beebe K;Gall W;Kahn CR
通讯作者：
Kahn CR
影响因子：
37.8
作者：
Cheng S;Rhee EP;Larson MG;Lewis GD;McCabe EL;Shen D;Palma MJ;Roberts LD;Dejam A;Souza AL;Deik AA;Magnusson M;Fox CS;O'Donnell CJ;Vasan RS;Melander O;Clish CB;Gerszten RE;Wang TJ
通讯作者：
Wang TJ
DOI：
10.1152/ajpendo.00630.2012
发表时间：
2013-06-01
影响因子：
5.1
作者：
Lackey, Denise E.;Lynch, Christopher J.;Adams, Sean H.
通讯作者：
Adams, Sean H.
影响因子：
3.5
作者：
Freudenberg, Anne;Petzke, Klaus J.;Klaus, Susanne
通讯作者：
Klaus, Susanne