Serum Metabolomic Profiling of Incident Type 2 Diabetes Mellitus in the Multi-ethnic Study of Atherosclerosis and Rotterdam Study

被引:0
作者
Jiang, Xuanwei [1 ]
Zhu, Fang [2 ]
Graca, Goncalo [3 ]
Du, Xihao [1 ]
Ran, Jinjun [1 ]
Ahmadizar, Fariba [2 ,4 ]
Wood, Alexis C. [5 ]
Zhou, Yanqiu [1 ]
Scholtens, Denise M. [6 ]
Farzaneh, Ali [2 ]
Ikram, M. Arfan [2 ]
Kuang, Alan [6 ]
le Roux, Carel W. [7 ]
Gadgil, Meghana D. [8 ]
Cornelis, Marilyn C. [6 ]
Taylor, Kent D. [9 ]
Guo, Xiuqing [9 ]
Ghanbari, Mohsen [2 ]
Rasmussen-Torvik, Laura J. [6 ]
Tracy, Russell P. [10 ]
Bertoni, Alain G. [11 ]
Rotter, Jerome, I [9 ]
Herrington, David M. [12 ]
Greenland, Philip [6 ]
Kavousi, Maryam [2 ]
Zhong, Victor W. [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Med, Sch Publ Hlth, Dept Epidemiol & Biostat, Shanghai 200025, Shanghai, Peoples R China
[2] Univ Med Ctr Rotterdam, Erasmus MC, Dept Epidemiol, Off Na 2714 POB 2040, NL-3000 CA Rotterdam, Netherlands
[3] Imperial Coll London, Dept Metab Digest & Reprod, Sect Bioinformat, London W12 0NN, England
[4] Univ Med Ctr Utrecht, Julius Global Hlth, Data Sci & Biostat Dept, NL-3584 CG Utrecht, Netherlands
[5] USDA ARS, Childrens Nutr Res Ctr, Baylor Coll Med, Houston, TX 77030 USA
[6] Northwestern Univ, Feinberg Sch Med, Dept Prevent Med, 680 N Lake Shore Dr Suite 1400, Chicago, IL 60611 USA
[7] Univ Coll Dublin, Diabet Complicat Res Ctr, Dublin, Ireland
[8] Univ Calif San Francisco, Dept Med, Div Gen Internal Med, San Francisco, CA 94143 USA
[9] Harbor UCLA Med Ctr, Lundquist Inst Biomed Innovat, Inst Translat Genom & Populat Sci, Dept Pediat, Torrance, CA 90502 USA
[10] Univ Vermont, Coll Med, Dept Pathol & Lab Med, Burlington, VT 05401 USA
[11] Wake Forest Sch Med, Dept Epidemiol & Prevent, Div Publ Hlth Sci, Winston Salem, NC 27157 USA
[12] Wake Forest Sch Med, Sect Cardiovasc Med, Winston Salem, NC 27157 USA
基金
国家重点研发计划; 美国国家卫生研究院; 中国国家自然科学基金;
关键词
metabolomics; type 2 diabetes mellitus; prediction; CHAIN AMINO-ACIDS; MENDELIAN RANDOMIZATION; RISK; INSTRUMENTS; SIGNATURE; HEALTH;
D O I
10.1210/clinem/dgae812
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective This study aimed to investigate serum metabolomic biomarkers associated with incident type 2 diabetes mellitus (T2DM) and evaluate their performance in improving T2DM risk prediction. Methods Untargeted proton nuclear magnetic resonance (1H NMR) spectroscopy-based metabolomics analyses were conducted in the Multi-Ethnic Study of Atherosclerosis (MESA; n = 3460; discovery cohort) and The Rotterdam Study (RS; n = 1556; replication cohort). Multivariable cause-specific hazards models were used to analyze the associations between 23 571 serum metabolomic spectral variables and incident T2DM. Replicated metabolites required an false discovery rate-adjusted P < .01 in MESA, P < .05 in RS, and consistent direction of association. Pathway and network analyses were conducted to elucidate biological mechanisms underlying T2DM development. The utility of the replicated metabolites in improving T2DM risk prediction was assessed based on the Framingham Diabetes Risk Score. A 2-sample Mendelian randomization was conducted to assess causal associations. Results Nineteen metabolites were significantly associated with incident T2DM. Pathway analyses revealed disturbances in aminoacyl-tRNA biosynthesis, metabolism of branched-chain amino acids (BCAAs), glycolysis/gluconeogenesis, and glycerolipid metabolism. Network analyses identified interactions with upstream regulators including p38 mitogen-activated protein kinases, c-Jun N-terminal kinase, and mammalian target of rapamycin signaling pathways. Adding replicated metabolites to the Framingham Diabetes Risk Score showed modest to moderate improvements in prediction performance in MESA and RS, with Delta C-statistic of 0.05 [95% confidence interval (CI), 0.04-0.07] in MESA and 0.03 (95% CI, 0.01-0.05) in RS. Genetically increased BCAAs and mannose were associated with T2DM. Conclusion H-1 NMR measured metabolites involved in aminoacyl-tRNA biosynthesis, BCAA metabolism, glycolysis/gluconeogenesis, and glycerolipid metabolism were significantly associated with incident T2DM and provided modest to moderate predictive utility beyond traditional risk factors.
引用
收藏
页数:11
相关论文
共 47 条
  • [1] Multi-ethnic study of atherosclerosis: Objectives and design
    Bild, DE
    Bluemke, DA
    Burke, GL
    Detrano, R
    Roux, AVD
    Folsom, AR
    Greenland, P
    Jacobs, DR
    Kronmal, R
    Liu, K
    Nelson, JC
    O'Leary, D
    Saad, MF
    Shea, S
    Szklo, M
    Tracy, RP
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2002, 156 (09) : 871 - 881
  • [2] Predictive value of circulating NMR metabolic biomarkers for type 2 diabetes risk in the UK Biobank study
    Bragg, Fiona
    Trichia, Eirini
    Aguilar-Ramirez, Diego
    Besevic, Jelena
    Lewington, Sarah
    Emberson, Jonathan
    [J]. BMC MEDICINE, 2022, 20 (01)
  • [3] Metabolomic profiles predict individual multidisease outcomes
    Buergel, Thore
    Steinfeldt, Jakob
    Ruyoga, Greg
    Pietzner, Maik
    Bizzarri, Daniele
    Vojinovic, Dina
    zu Belzen, Julius Upmeier
    Loock, Lukas
    Kittner, Paul
    Christmann, Lara
    Hollmann, Noah
    Strangalies, Henrik
    Braunger, Jana M.
    Wild, Benjamin
    Chiesa, Scott T.
    Spranger, Joachim
    Klostermann, Fabian
    van den Akker, Erik B.
    Trompet, Stella
    Mooijaart, Simon P.
    Sattar, Naveed
    Jukema, J. Wouter
    Lavrijssen, Birgit
    Kavousi, Maryam
    Ghanbari, Mohsen
    Ikram, Mohammad A.
    Slagboom, Eline
    Kivimaki, Mika
    Langenberg, Claudia
    Deanfield, John
    Eils, Roland
    Landmesser, Ulf
    [J]. NATURE MEDICINE, 2022, 28 (11) : 2309 - +
  • [4] Avoiding bias from weak instruments in Mendelian randomization studies
    Burgess, Stephen
    Thompson, Simon G.
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2011, 40 (03) : 755 - 764
  • [5] Nontargeted and Targeted Metabolomic Profiling Reveals Novel Metabolite Biomarkers of Incident Diabetes in African Americans
    Chen, Zsu-Zsu
    Pacheco, Julian Avila
    Gao, Yan
    Deng, Shuliang
    Peterson, Bennet
    Shi, Xu
    Zheng, Shuning
    Tahir, Usman A.
    Katz, Daniel H.
    Cruz, Daniel E.
    Ngo, Debby
    Benson, Mark D.
    Robbins, Jeremy M.
    Guo, Xiuqing
    Gonzalez, Magdalena del Rocio Sevilla
    Manning, Alisa
    Correa, Adolfo
    Meigs, James B.
    Taylor, Kent D.
    Rich, Stephen S.
    Goodarzi, Mark O.
    Rotter, Jerome I.
    Wilson, James G.
    Clish, Clary B.
    Gerszten, Robert E.
    [J]. DIABETES, 2022, 71 (11) : 2426 - 2437
  • [6] Metabolomics and Proteomics in Type 2 Diabetes
    Chen, Zsu-Zsu
    Gerszten, Robert E.
    [J]. CIRCULATION RESEARCH, 2020, 126 (11) : 1613 - 1627
  • [7] p38MAPK: stress responses from molecular mechanisms to therapeutics
    Coulthard, Lydia R.
    White, Danielle E.
    Jones, Dominic L.
    McDermott, Michael F.
    Burchill, Susan A.
    [J]. TRENDS IN MOLECULAR MEDICINE, 2009, 15 (08) : 369 - 379
  • [8] Systematic analysis of relationships between plasma branched-chain amino acid concentrations and cardiometabolic parameters: an association and Mendelian randomization study
    Doestzada, Marwah
    Zhernakova, Daria V.
    C. L. van den Munckhof, Inge
    Wang, Daoming
    Kurilshikov, Alexander
    Chen, Lianmin
    Bloks, Vincent W.
    van Faassen, Martijn
    Rutten, Joost H. W.
    Joosten, Leo A. B.
    Netea, Mihai G.
    Wijmenga, Cisca
    Riksen, Niels P.
    Zhernakova, Alexandra
    Kuipers, Folkert
    Fu, Jingyuan
    [J]. BMC MEDICINE, 2022, 20 (01)
  • [9] Mendelian randomization: can genetic epidemiology help redress the failures of observational epidemiology?
    Ebrahim, Shah
    Smith, George Davey
    [J]. HUMAN GENETICS, 2008, 123 (01) : 15 - 33
  • [10] Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis
    Guasch-Ferre, Marta
    Hruby, Adela
    Toledo, Estefania
    Clish, Clary B.
    Martinez-Gonzalez, Miguel A.
    Salas-Salvado, Jordi
    Hu, Frank B.
    [J]. DIABETES CARE, 2016, 39 (05) : 833 - 846