Amino acid intake, plasma metabolites, and incident type 2 diabetes risk: a systematic approach in prospective cohort studies.

IF 4.4 2区 医学 Q1 NUTRITION & DIETETICS
Siyue Wang, Yanping Li, Molin Wang, Jeffrey Yuan, Oana A Zeleznik, A Heather Eliassen, Andrew T Chan, Frank B Hu, Yang Hu, Qi Sun
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引用次数: 0

Abstract

Background: Amino acid (AA) intake is thought to be closely related to the etiology of type 2 diabetes (T2D), although few prospective human studies have examined the association. The study prospectively examined inter-relationships among the intake of all 20 AAs, blood metabolome, and T2D incidence.

Methods: Prospective associations between 20 individual AA intake and T2D were examined among 201,113 participants from the Health Professionals Follow-up Study (HPFS), Nurses' Health Study (NHS), and NHSII who did not have T2D, cardiovascular disease, or cancer at baseline. Next, a multi-metabolite signature responsive to AA intake was derived through two sets of 7-day diet record (7DDR) assessments, and subsequently replicated in multiple cohorts. Finally, Cox regression models were used to determine and confirm the prospective associations of AA intake, plasma metabolite signatures, with T2D incidence.

Results: During 5,037,848 person-years of follow-up, 20,619 T2D cases were documented. Sulfur AAs (SAAs) and aromatic amino acids were significantly associated with higher T2D risk independent of other AAs. Comparing the highest with lowest quintiles of intake, the multivariable adjusted pooled hazard ratios (HRs) for T2D were 1.20 (95% CI: 1.13-1.27) for total SAA (P for trend < 0.0001) and 1.14 (95% CI: 1.08-1.21) for total aromatic AAs (P for trend < 0.0001). A total of 73 plasma metabolites were identified as responsive markers for total SAA intake, and 87 metabolites for total aromatic AA intake. Approximately 75% of these metabolites were commonly responsive within the individual AAs within the same class. The multi-metabolite signatures for SAAs and aromatic AAs intakes were replicated in an independent study [β = 0.30 or 0.31 per SD increase of SAA and aromatic AA intake, respectively, P < 0.0001 for both associations). Moreover, the signatures were associated with T2D incidence: the HRs for per SD change were 1.14 (95%CI: 1.08-1.20, P < 0.00001) for SAA signature and 1.18 (95%CI: 1.12-1.24, P < 0.00001) for aromatic AA signature. Mediation analysis showed that the metabolite signatures explained various degree (% ranging from 10.5(95%CI: 3.8-26.1) to 29.9(95%CI: 13.5-53.9)) for the associations between dietary SAAs/aromatic AAs and T2D incidence risk.

Conclusions: This study provides novel evidence that higher intake of sulfur and aromatic AAs is independently associated with an increased risk of T2D. Multiple plasma metabolites are responsive to these dietary AAs, potentially serving as objective markers for AA intake. Collectively, the metabolite signatures significantly predict a higher T2D risk, and mediate the positive associations to various degrees, corroborating findings from long-term dietary assessments.

氨基酸摄入、血浆代谢物和2型糖尿病发病风险:前瞻性队列研究的系统方法
背景:氨基酸(AA)的摄入被认为与2型糖尿病(T2D)的病因密切相关,尽管很少有前瞻性的人类研究考察了这种关联。该研究前瞻性地检查了所有20种AAs的摄入量、血液代谢组和T2D发病率之间的相互关系。方法:对来自健康专业人员随访研究(HPFS)、护士健康研究(NHS)和NHSII的201113名参与者中20名AA摄入量与T2D之间的前瞻性关联进行了研究,这些参与者在基线时没有T2D、心血管疾病或癌症。接下来,通过两组7天饮食记录(7DDR)评估得出了对AA摄入量有反应的多代谢物特征,并随后在多个队列中重复。最后,使用Cox回归模型来确定和确认AA摄入量、血浆代谢物特征与T2D发病率的前瞻性关联。结果:在5,037,848人年的随访期间,记录了20,619例T2D病例。硫aa (SAAs)和芳香氨基酸与较高的T2D风险显著相关,独立于其他aa。比较最高五分位数和最低五分位数,总SAA (P < 0.0001)和总芳香AAs (P < 0.0001)的多变量校正合并风险比(hr)分别为1.20 (95% CI: 1.13-1.27)和1.14 (95% CI: 1.08-1.21)。共有73种血浆代谢物被鉴定为SAA总摄入量的响应标志物,87种血浆代谢物被鉴定为芳香AA总摄入量的响应标志物。这些代谢物中约75%在同一类别的单个AAs中普遍反应。在一项独立研究中,硫代硫化物和芳香族AA摄入量的多代谢物特征被重复[β = 0.30或0.31 / SD / SD]。结论:本研究提供了新的证据,表明硫代硫化物和芳香族AA摄入量的增加与T2D风险的增加独立相关。多种血浆代谢物对这些饮食中的果酸有反应,可能作为果酸摄入量的客观指标。总的来说,代谢物特征显著预测更高的T2D风险,并在不同程度上介导正相关,证实了长期饮食评估的结果。
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来源期刊
Nutrition Journal
Nutrition Journal NUTRITION & DIETETICS-
CiteScore
9.80
自引率
0.00%
发文量
68
审稿时长
4-8 weeks
期刊介绍: Nutrition Journal publishes surveillance, epidemiologic, and intervention research that sheds light on i) influences (e.g., familial, environmental) on eating patterns; ii) associations between eating patterns and health, and iii) strategies to improve eating patterns among populations. The journal also welcomes manuscripts reporting on the psychometric properties (e.g., validity, reliability) and feasibility of methods (e.g., for assessing dietary intake) for human nutrition research. In addition, study protocols for controlled trials and cohort studies, with an emphasis on methods for assessing dietary exposures and outcomes as well as intervention components, will be considered. Manuscripts that consider eating patterns holistically, as opposed to solely reductionist approaches that focus on specific dietary components in isolation, are encouraged. Also encouraged are papers that take a holistic or systems perspective in attempting to understand possible compensatory and differential effects of nutrition interventions. The journal does not consider animal studies. In addition to the influence of eating patterns for human health, we also invite research providing insights into the environmental sustainability of dietary practices. Again, a holistic perspective is encouraged, for example, through the consideration of how eating patterns might maximize both human and planetary health.
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