Suppr超能文献

色氨酸可预测未来患2型糖尿病的风险。

Tryptophan Predicts the Risk for Future Type 2 Diabetes.

作者信息

Chen Tianlu, Zheng Xiaojiao, Ma Xiaojing, Bao Yuqian, Ni Yan, Hu Cheng, Rajani Cynthia, Huang Fengjie, Zhao Aihua, Jia Weiping, Jia Wei

机构信息

Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.

Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China.

出版信息

PLoS One. 2016 Sep 6;11(9):e0162192. doi: 10.1371/journal.pone.0162192. eCollection 2016.

Abstract

Recently, 5 amino acids were identified and verified as important metabolites highly associated with type 2 diabetes (T2D) development. This report aims to assess the association of tryptophan with the development of T2D and to evaluate its performance with existing amino acid markers. A total of 213 participants selected from a ten-year longitudinal Shanghai Diabetes Study (SHDS) were examined in two ways: 1) 51 subjects who developed diabetes and 162 individuals who remained metabolically healthy in 10 years; 2) the same 51 future diabetes and 23 strictly matched ones selected from the 162 healthy individuals. Baseline fasting serum tryptophan concentrations were quantitatively measured using ultra-performance liquid chromatography triple quadruple mass spectrometry. First, serum tryptophan level was found significantly higher in future T2D and was positively and independently associated with diabetes onset risk. Patients with higher tryptophan level tended to present higher degree of insulin resistance and secretion, triglyceride and blood pressure. Second, the prediction potential of tryptophan is non-inferior to the 5 existing amino acids. The predictive performance of the combined score improved after taking tryptophan into account. Our findings unveiled the potential of tryptophan as a new marker associated with diabetes risk in Chinese populations. The addition of tryptophan provided complementary value to the existing amino acid predictors.

摘要

最近,5种氨基酸被鉴定并证实为与2型糖尿病(T2D)发生高度相关的重要代谢物。本报告旨在评估色氨酸与T2D发生的关联,并评估其与现有氨基酸标志物相比的性能。从一项为期十年的上海糖尿病纵向研究(SHDS)中选取的213名参与者接受了两种方式的检测:1)51名患糖尿病的受试者和162名在10年内保持代谢健康的个体;2)同样的51名未来糖尿病患者以及从162名健康个体中严格匹配的23名个体。使用超高效液相色谱三重四极杆质谱法定量测量基线空腹血清色氨酸浓度。首先,发现未来T2D患者的血清色氨酸水平显著更高,且与糖尿病发病风险呈正相关且独立相关。色氨酸水平较高的患者往往表现出更高程度的胰岛素抵抗和分泌、甘油三酯及血压。其次,色氨酸的预测潜力不低于现有的5种氨基酸。将色氨酸纳入考虑后,综合评分的预测性能有所提高。我们的研究结果揭示了色氨酸作为中国人群中与糖尿病风险相关的新标志物的潜力。色氨酸的加入为现有的氨基酸预测指标提供了补充价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef75/5012675/6e82598e56af/pone.0162192.g001.jpg

相似文献

1
Tryptophan Predicts the Risk for Future Type 2 Diabetes.
PLoS One. 2016 Sep 6;11(9):e0162192. doi: 10.1371/journal.pone.0162192. eCollection 2016.
3
Diabetes and branched-chain amino acids: What is the link?
J Diabetes. 2018 May;10(5):350-352. doi: 10.1111/1753-0407.12645. Epub 2018 Feb 13.
8
Circulating metabolites and the risk of type 2 diabetes: a prospective study of 11,896 young adults from four Finnish cohorts.
Diabetologia. 2019 Dec;62(12):2298-2309. doi: 10.1007/s00125-019-05001-w. Epub 2019 Oct 4.
9
Branched-chain and aromatic amino acids are predictors of insulin resistance in young adults.
Diabetes Care. 2013 Mar;36(3):648-55. doi: 10.2337/dc12-0895. Epub 2012 Nov 5.

引用本文的文献

1
Approaches to predict future type 2 diabetes mellitus and chronic kidney disease: A scoping review.
PLoS One. 2025 Jun 11;20(6):e0325182. doi: 10.1371/journal.pone.0325182. eCollection 2025.
2
Tryptophan Indole Derivatives: Key Players in Type 2 Diabetes Mellitus.
Diabetes Metab Syndr Obes. 2025 May 12;18:1563-1574. doi: 10.2147/DMSO.S511068. eCollection 2025.
6
Eight-day fasting modulates serum kynurenines in healthy men at rest and after exercise.
Front Endocrinol (Lausanne). 2024 Jun 12;15:1403491. doi: 10.3389/fendo.2024.1403491. eCollection 2024.
8
H-NMR-based metabolomics reveals the preventive effect of polysaccharides on diabetes in Zucker diabetic fatty rats.
Food Sci Nutr. 2024 Mar 5;12(6):4049-4062. doi: 10.1002/fsn3.4061. eCollection 2024 Jun.
9
Characterizing poorly controlled type 2 diabetes using H-NMR metabolomics.
Metabolomics. 2024 May 11;20(3):54. doi: 10.1007/s11306-024-02127-w.
10
Tryptophanylation of insulin receptor by WARS attenuates insulin signaling.
Cell Mol Life Sci. 2024 Jan 12;81(1):25. doi: 10.1007/s00018-023-05082-2.

本文引用的文献

1
Plasma amino acid and metabolite signatures tracking diabetes progression in the UCD-T2DM rat model.
Am J Physiol Endocrinol Metab. 2016 Jun 1;310(11):E958-69. doi: 10.1152/ajpendo.00052.2016. Epub 2016 Apr 19.
3
Elevated anthranilic acid plasma concentrations in type 1 but not type 2 diabetes mellitus.
Integr Mol Med. 2015;2(5):365-368. doi: 10.15761/IMM.1000169. Epub 2015 Sep 25.
4
Chenodeoxycholic Acid as a Potential Prognostic Marker for Roux-en-Y Gastric Bypass in Chinese Obese Patients.
J Clin Endocrinol Metab. 2015 Nov;100(11):4222-30. doi: 10.1210/jc.2015-2884. Epub 2015 Oct 1.
6
Expression mechanism of tryptophan hydroxylase 1 in mouse islets during pregnancy.
J Mol Endocrinol. 2015 Aug;55(1):41-53. doi: 10.1530/JME-14-0299. Epub 2015 Jul 1.
7
Increased Plasma Levels of Xanthurenic and Kynurenic Acids in Type 2 Diabetes.
Mol Neurobiol. 2015 Oct;52(2):805-10. doi: 10.1007/s12035-015-9232-0. Epub 2015 Jun 9.
8
Drug repositioning for diabetes based on 'omics' data mining.
PLoS One. 2015 May 6;10(5):e0126082. doi: 10.1371/journal.pone.0126082. eCollection 2015.
10
Intestinal microbiota and type 2 diabetes: from mechanism insights to therapeutic perspective.
World J Gastroenterol. 2014 Dec 21;20(47):17737-45. doi: 10.3748/wjg.v20.i47.17737.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验