Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men.

Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men.
复制标题

DOI:
10.1371/journal.pone.0164877
复制
发表时间:
2016
期刊:
影响因子:
3.7
通讯作者:
Takebayashi T
Takebayashi T
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Fukai K;Harada S;Iida M;Kurihara A;Takeuchi A;Kuwabara K;Sugiyama D;Okamura T;Akiyama M;Nishiwaki Y;Oguma Y;Suzuki A;Suzuki C;Hirayama A;Sugimoto M;Soga T;Tomita M;Takebayashi T

文献摘要

参考文献

被引文献

相似文献

众所周知,体育活动可以预防各种非传染性疾病。在一项基于人群的研究中,我们使用靶向代谢组学方法调查了日常体力活动水平与血浆代谢物之间的关系。从队列研究的基线调查中选择了总共1193名参与者(男性,年龄35至74岁)的空腹血液样本。研究人员通过一份自我管理的问卷收集了每日总体力活动(按代谢当量分数的四分位数分为四个等级)和久坐行为(定义为每天坐的时间)的信息。采用毛细管电泳质谱法测定血浆代谢物浓度。我们对原始人群(n = 808)进行了多变量调整和校正p值的线性回归分析模型。结果的稳健性通过在随机分配的单独群体(n = 385)中的重复分析得到证实。较高的体力活动水平与各种代谢物浓度相关,包括较低的氨基酸及其衍生物浓度和较高的pipiolate浓度(原始人群的FDR p <0.05)。在调整了年龄、体重指数、吸烟、饮酒和能量摄入等因素后,研究结果仍然存在。异亮氨酸、亮氨酸、缬氨酸、4-甲基-2-氧异戊酸盐、2-氧异戊酸盐、丙氨酸和脯氨酸浓度随着静置时间的缩短而降低。体力活动与各种血浆代谢物有关,包括未来胰岛素抵抗或2型糖尿病的已知生物标志物。这些代谢物可能在较高的身体活动和/或较少的久坐行为对非传染性疾病的保护作用中发挥关键作用。
Physical activity is known to be preventive against various non-communicable diseases. We investigated the relationship between daily physical activity level and plasma metabolites using a targeted metabolomics approach in a population-based study. A total of 1,193 participants (male, aged 35 to 74 years) with fasting blood samples were selected from the baseline survey of a cohort study. Information on daily total physical activity, classified into four levels by quartile of metabolic equivalent scores, and sedentary behavior, defined as hours of sitting per day, was collected through a self-administered questionnaire. Plasma metabolite concentrations were quantified by capillary electrophoresis mass spectrometry method. We performed linear regression analysis models with multivariable adjustment and corrected p-values for multiple testing in the original population (n = 808). The robustness of the results was confirmed by replication analysis in a separate population (n = 385) created by random allocation. Higher levels of total physical activity were associated with various metabolite concentrations, including lower concentrations of amino acids and their derivatives, and higher concentrations of pipecolate (FDR p <0.05 in original population). The findings persisted after adjustment for age, body mass index, smoking, alcohol intake, and energy intake. Isoleucine, leucine, valine, 4-methyl-2-oxoisopentanoate, 2-oxoisopentanoate, alanine, and proline concentrations were lower with a shorter sitting time. Physical activity is related to various plasma metabolites, including known biomarkers for future insulin resistance or type 2 diabetes. These metabolites might potentially play a key role in the protective effects of higher physical activity and/or less sedentary behavior on non-communicable diseases.
DOI: 10.1093/aje/kwn146
发表时间: 2008-08-15
影响因子: 5
作者:
Inoue, Manami;Yamamoto, Seiichiro;Tsugane, Shoichiro
通讯作者: Tsugane, Shoichiro
DOI: 10.2337/db07-0882
发表时间: 2007-11-01
期刊: DIABETES
影响因子: 7.7
作者:
Hamilton, Marc T.;Hamilton, Deborah G.;Zderic, Theodore W.
通讯作者: Zderic, Theodore W.
DOI: 10.1172/jci114940
发表时间: 1990-12-01
影响因子: 15.9
作者:
CONSOLI, A;NURJHAN, N;GERICH, JE
通讯作者: GERICH, JE
DOI: 10.1152/ajpendo.00219.2010
发表时间: 2011-01-01
影响因子: 5.1
作者:
Hsiao, Gene;Chapman, Justin;Sears, Dorothy D.
通讯作者: Sears, Dorothy D.
DOI: 10.2337/dc10-0987
发表时间: 2011-02
期刊: Diabetes care
影响因子: 16.2
作者:
Bankoski A;Harris TB;McClain JJ;Brychta RJ;Caserotti P;Chen KY;Berrigan D;Troiano RP;Koster A
通讯作者: Koster A