Plasma metabolomic profiles in association with type 2 diabetes risk and prevalence in Chinese adults

详细信息    查看全文

• 作者：Danxia Yu ; Steven C. Moore ; Charles E. Matthews ; Yong-Bing Xiang…
• 关键词：Metabolomics ; Type 2 diabetes ; Epidemiology ; Prospective cohort study ; Chinese populations
• 刊名：Metabolomics
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：12
• 期：1
• 全文大小：528 KB
• 参考文献：Alvim, R. O., Santos, P. C. J. L., Nascimento, R. M., Coelho, G. L. L. M., Mill, J. G., et al. (2012). BDKRB2 +9/− 9 polymorphism is associated with higher risk for diabetes mellitus in the Brazilian general population. Journal of Diabetes Research, 2012, e480251. doi:10.​1155/​2012/​480251 .
  Aviles-Olmos, I., Dickson, J., Kefalopoulou, Z., Djamshidian, A., Ell, P., Soderlund, T., et al. (2013). Exenatide and the treatment of patients with Parkinson’s disease. Journal of Clinical Investigation, 123(6), 2730–2736. doi:10.​1172/​JCI68295 .PubMed PubMedCentral CrossRef
  Bain, J. R., Stevens, R. D., Wenner, B. R., Ilkayeva, O., Muoio, D. M., & Newgard, C. B. (2009). Metabolomics applied to diabetes research moving from information to knowledge. Diabetes, 58(11), 2429–2443. doi:10.​2337/​db09-0580 .PubMed PubMedCentral CrossRef
  Chan, J. C. N., Zhang, Y., & Ning, G. (2014). Diabetes in China: A societal solution for a personal challenge. The Lancet Diabetes & Endocrinology, 2(12), 969–979. doi:10.​1016/​S2213-8587(14)70144-5 .CrossRef
  Connolly, B. S., & Lang, A. E. (2014). Pharmacological treatment of parkinson disease: A review. JAMA, 311(16), 1670–1683. doi:10.​1001/​jama.​2014.​3654 .PubMed CrossRef
  DeFronzo, R. A. (2011). Bromocriptine: A sympatholytic, D2-dopamine agonist for the treatment of type 2 diabetes. Diabetes Care, 34(4), 789–794. doi:10.​2337/​dc11-0064 .PubMed PubMedCentral CrossRef
  Dungan, K. M., Buse, J. B., Largay, J., Kelly, M. M., Button, E. A., Kato, S., & Wittlin, S. (2006). 1,5-Anhydroglucitol and postprandial hyperglycemia as measured by continuous glucose monitoring system in moderately controlled patients with diabetes. Diabetes Care, 29(6), 1214–1219. doi:10.​2337/​dc06-1910 .PubMed CrossRef
  Evans, A. M., DeHaven, C. D., Barrett, T., Mitchell, M., & Milgram, E. (2009). Integrated, nontargeted ultrahigh performance liquid chromatography/electrospray ionization tandem mass spectrometry platform for the identification and relative quantification of the small-molecule complement of biological systems. Analytical Chemistry, 81(16), 6656–6667. doi:10.​1021/​ac901536h .PubMed CrossRef
  Ferrannini, E., Natali, A., Camastra, S., Nannipieri, M., Mari, A., Adam, K.-P., et al. (2013). Early metabolic markers of the development of dysglycemia and type 2 diabetes and their physiological significance. Diabetes, 62(5), 1730–1737. doi:10.​2337/​db12-0707 .PubMed PubMedCentral CrossRef
  Floegel, A., Stefan, N., Yu, Z., Mühlenbruch, K., Drogan, D., Joost, H.-G., et al. (2013). Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach. Diabetes, 62(2), 639–648. doi:10.​2337/​db12-0495 .PubMed PubMedCentral CrossRef
  Gall, W. E., Beebe, K., Lawton, K. A., Adam, K.-P., Mitchell, M. W., Nakhle, P. J., et al. (2010). α-Hydroxybutyrate is an early biomarker of insulin resistance and glucose intolerance in a nondiabetic population. PLoS ONE, 5(5), e10883. doi:10.​1371/​journal.​pone.​0010883 .PubMed PubMedCentral CrossRef
  Goldstein, D. S., Eisenhofer, G., & Kopin, I. J. (2003). Sources and significance of plasma levels of catechols and their metabolites in humans. Journal of Pharmacology and Experimental Therapeutics, 305(3), 800–811. doi:10.​1124/​jpet.​103.​049270 .PubMed CrossRef
  Hodge, A. M., English, D. R., O’Dea, K., Sinclair, A. J., Makrides, M., Gibson, R. A., & Giles, G. G. (2007). Plasma phospholipid and dietary fatty acids as predictors of type 2 diabetes: Interpreting the role of linoleic acid. The American Journal of Clinical Nutrition, 86(1), 189–197.PubMed
  Hu, F. B. (2011). Globalization of diabetes the role of diet, lifestyle, and genes. Diabetes Care, 34(6), 1249–1257. doi:10.​2337/​dc11-0442 .PubMed PubMedCentral CrossRef
  Huang, T., Wahlqvist, M. L., Xu, T., Xu, A., Zhang, A., & Li, D. (2010). Increased plasma n-3 polyunsaturated fatty acid is associated with improved insulin sensitivity in type 2 diabetes in China. Molecular Nutrition & Food Research, 54(S1), S112–S119. doi:10.​1002/​mnfr.​200900189 .CrossRef
  Kodama, K., Tojjar, D., Yamada, S., Toda, K., Patel, C. J., & Butte, A. J. (2013). Ethnic differences in the relationship between insulin sensitivity and insulin response a systematic review and meta-analysis. Diabetes Care, 36(6), 1789–1796. doi:10.​2337/​dc12-1235 .PubMed PubMedCentral CrossRef
  Kolodka, T., Charles, M. L., Raghavan, A., Radichev, I. A., Amatya, C., Ellefson, J., et al. (2014). Preclinical characterization of recombinant human tissue kallikrein-1 as a novel treatment for type 2 diabetes mellitus. PLoS ONE, 9(8), e103981. doi:10.​1371/​journal.​pone.​0103981 .PubMed PubMedCentral CrossRef
  Kröger, J., Zietemann, V., Enzenbach, C., Weikert, C., Jansen, E. H., Döring, F., et al. (2011). Erythrocyte membrane phospholipid fatty acids, desaturase activity, and dietary fatty acids in relation to risk of type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition (EPIC)–Potsdam Study. The American Journal of Clinical Nutrition, 93(1), 127–142. doi:10.​3945/​ajcn.​110.​005447 .PubMed CrossRef
  Kusunoki, M., Tsutsumi, K., Nakayama, M., Kurokawa, T., Nakamura, T., Ogawa, H., et al. (2007). Relationship between serum concentrations of saturated fatty acids and unsaturated fatty acids and the homeostasis model insulin resistance index in Japanese patients with type 2 diabetes mellitus. The Journal of Medical Investigation, 54(3,4), 243–247. doi:10.​2152/​jmi.​54.​243 .PubMed CrossRef
  Li, G., Zhang, P., Wang, J., Gregg, E. W., Yang, W., Gong, Q., et al. (2008). The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: A 20-year follow-up study. Lancet, 371(9626), 1783–1789. doi:10.​1016/​S0140-6736(08)60766-7 .PubMed CrossRef
  Lu, J., Xie, G., Jia, W., & Jia, W. (2013). Metabolomics in human type 2 diabetes research. Frontiers of Medicine, 7(1), 4–13. doi:10.​1007/​s11684-013-0248-4 .PubMed CrossRef
  Lynch, C. J., & Adams, S. H. (2014). Branched-chain amino acids in metabolic signalling and insulin resistance. Nature Reviews Endocrinology, 10(12), 723–736. doi:10.​1038/​nrendo.​2014.​171 .PubMed PubMedCentral CrossRef
  Ma, R. C. W., & Chan, J. C. N. (2013). Type 2 diabetes in East Asians: Similarities and differences with populations in Europe and the United States. Annals of the New York Academy of Sciences, 1281(1), 64–91. doi:10.​1111/​nyas.​12098 .PubMed PubMedCentral CrossRef
  Ma, R. C. W., Lin, X., & Jia, W. (2014). Causes of type 2 diabetes in China. The Lancet Diabetes & Endocrinology, 2(12), 980–991. doi:10.​1016/​S2213-8587(14)70145-7 .CrossRef
  Marcondes, S., & Antunes, E. (2005). The plasma and tissue kininogen-kallikrein-kinin system: Role in the cardiovascular system. Current Medicinal Chemistry—Cardiovascular & Hematological Agents, 3(1), 33–44. doi:10.​2174/​1568016052773351​ .CrossRef
  Mayers, J. R., Wu, C., Clish, C. B., Kraft, P., Torrence, M. E., Fiske, B. P., et al. (2014). Elevation of circulating branched-chain amino acids is an early event in human pancreatic adenocarcinoma development. Nature Medicine, 20(10), 1193–1198. doi:10.​1038/​nm.​3686 .PubMed PubMedCentral CrossRef
  Menni, C., Fauman, E., Erte, I., Perry, J. R. B., Kastenmüller, G., Shin, S.-Y., et al. (2013). Biomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approach. Diabetes, 62(12), 4270–4276. doi:10.​2337/​db13-0570 .PubMed PubMedCentral CrossRef
  Montanari, D., Yin, H., Dobrzynski, E., Agata, J., Yoshida, H., Chao, J., & Chao, L. (2005). Kallikrein gene delivery improves serum glucose and lipid profiles and cardiac function in streptozotocin-induced diabetic rats. Diabetes, 54(5), 1573–1580. doi:10.​2337/​diabetes.​54.​5.​1573 .PubMed CrossRef
  Mook-Kanamori, D. O., Selim, M. M. E.-D., Takiddin, A. H., Al-Homsi, H., Al-Mahmoud, K. A. S., Al-Obaidli, A., et al. (2014). 1,5-Anhydroglucitol in saliva is a noninvasive marker of short-term glycemic control. The Journal of Clinical Endocrinology & Metabolism, 99(3), E479–E483. doi:10.​1210/​jc.​2013-3596 .
  Moore, S. C., Matthews, C. E., Sampson, J. N., Stolzenberg-Solomon, R. Z., Zheng, W., Cai, Q., et al. (2014). Human metabolic correlates of body mass index. Metabolomics, 10(2), 259–269. doi:10.​1007/​s11306-013-0574-1 .PubMed PubMedCentral CrossRef
  Nagata, C., Nakamura, K., Wada, K., Tsuji, M., Tamai, Y., & Kawachi, T. (2013). Branched-chain amino acid intake and the risk of diabetes in a japanese community the takayama study. American Journal of Epidemiology, 178(8), 1226–1232. doi:10.​1093/​aje/​kwt112 .PubMed CrossRef
  Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., et al. (2009). A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metabolism, 9(4), 311–326. doi:10.​1016/​j.​cmet.​2009.​02.​002 .PubMed PubMedCentral CrossRef
  Noble, D., Mathur, R., Dent, T., Meads, C., & Greenhalgh, T. (2011). Risk models and scores for type 2 diabetes: Systematic review. BMJ, 343, d7163. doi:10.​1136/​bmj.​d7163 .PubMed PubMedCentral CrossRef
  Pan, A., Lucas, M., Sun, Q., et al. (2010). BIdirectional association between depression and type 2 diabetes mellitus in women. Archives of Internal Medicine, 170(21), 1884–1891. doi:10.​1001/​archinternmed.​2010.​356 .PubMed PubMedCentral CrossRef
  Pan, A., Schernhammer, E. S., Sun, Q., & Hu, F. B. (2011). Rotating night shift work and risk of type 2 diabetes: Two prospective cohort studies in women. PLoS Med, 8(12), e1001141. doi:10.​1371/​journal.​pmed.​1001141 .PubMed PubMedCentral CrossRef
  Patel, P. S., Sharp, S. J., Jansen, E., Luben, R. N., Khaw, K.-T., Wareham, N. J., & Forouhi, N. G. (2010). Fatty acids measured in plasma and erythrocyte-membrane phospholipids and derived by food-frequency questionnaire and the risk of new-onset type 2 diabetes: A pilot study in the European Prospective Investigation into Cancer and Nutrition (EPIC)–Norfolk cohort. The American Journal of Clinical Nutrition, 92(5), 1214–1222. doi:10.​3945/​ajcn.​2010.​29182 .PubMed CrossRef
  Qin, L.-Q., Xun, P., Bujnowski, D., Daviglus, M. L., Horn, L. V., Stamler, J., & He, K. (2011). Higher branched-chain amino acid intake is associated with a lower prevalence of being overweight or obese in middle-aged east asian and western adults. The Journal of Nutrition, 141(2), 249–254. doi:10.​3945/​jn.​110.​128520 .PubMed PubMedCentral CrossRef
  Sampson, J. N., Boca, S. M., Shu, X. O., Stolzenberg-Solomon, R. Z., Matthews, C. E., Hsing, A. W., et al. (2013). Metabolomics in epidemiology: Sources of variability in metabolite measurements and implications. Cancer Epidemiology, Biomarkers & Prevention: A Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology, 22(4), 631–640. doi:10.​1158/​1055-9965.​EPI-12-1109 .CrossRef
  Schoepf, D., Potluri, R., Uppal, H., Natalwala, A., Narendran, P., & Heun, R. (2012). Type-2 diabetes mellitus in schizophrenia: Increased prevalence and major risk factor of excess mortality in a naturalistic 7-year follow-up. European Psychiatry, 27(1), 33–42. doi:10.​1016/​j.​eurpsy.​2011.​02.​009 .PubMed CrossRef
  Shimomura, Y., Murakami, T., Nakai, N., Nagasaki, M., & Harris, R. A. (2004). Exercise promotes BCAA catabolism: Effects of BCAA supplementation on skeletal muscle during exercise. The Journal of Nutrition, 134(6), 1583S–1587S.PubMed
  Shu, X.-O., Li, H., Yang, G., Gao, J., Cai, H., Takata, Y., et al. (2015). Cohort profile: The shanghai men’s health study. International Journal of Epidemiology, dyv013. doi:10.​1093/​ije/​dyv013 .
  Suhre, K. (2014). Metabolic profiling in diabetes. Journal of Endocrinology, 221(3), R75–R85. doi:10.​1530/​JOE-14-0024 .PubMed CrossRef
  Suhre, K., Meisinger, C., Döring, A., Altmaier, E., Belcredi, P., Gieger, C., et al. (2010). Metabolic footprint of diabetes: A multiplatform metabolomics study in an epidemiological setting. PLoS ONE, 5(11), e13953. doi:10.​1371/​journal.​pone.​0013953 .PubMed PubMedCentral CrossRef
  Tai, E. S., Tan, M. L. S., Stevens, R. D., Low, Y. L., Muehlbauer, M. J., Goh, D. L. M., et al. (2010). Insulin resistance is associated with a metabolic profile of altered protein metabolism in Chinese and Asian-Indian men. Diabetologia, 53(4), 757–767. doi:10.​1007/​s00125-009-1637-8 .PubMed PubMedCentral CrossRef
  Taneera, J., Lang, S., Sharma, A., Fadista, J., Zhou, Y., Ahlqvist, E., et al. (2012). A Systems genetics approach identifies genes and pathways for type 2 diabetes in human islets. Cell Metabolism, 16(1), 122–134. doi:10.​1016/​j.​cmet.​2012.​06.​006 .PubMed CrossRef
  The World Bank (2011) Toward a healthy and harmonious life in china: Stemming the rising tide of non-communicable diseases (No. World Bank Report Number 62318-CN).
  Tiffin, N., Adie, E., Turner, F., Brunner, H. G., van Driel, M. A., Oti, M., et al. (2006). Computational disease gene identification: A concert of methods prioritizes type 2 diabetes and obesity candidate genes. Nucleic Acids Research, 34(10), 3067–3081. doi:10.​1093/​nar/​gkl381 .PubMed PubMedCentral CrossRef
  Tillin, T., Hughes, A. D., Wang, Q., Würtz, P., Ala-Korpela, M., Sattar, N., et al. (2015). Diabetes risk and amino acid profiles: Cross-sectional and prospective analyses of ethnicity, amino acids and diabetes in a South Asian and European cohort from the SABRE (Southall And Brent REvisited) Study. Diabetologia, 58(5), 968–979. doi:10.​1007/​s00125-015-3517-8 .PubMed PubMedCentral CrossRef
  Tomita, H., Sanford, R. B., Smithies, O., & Kakoki, M. (2012). The kallikrein–kinin system in diabetic nephropathy. Kidney International, 81(8), 733–744. doi:10.​1038/​ki.​2011.​499 .PubMed PubMedCentral CrossRef
  Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., et al. (2011). Metabolite profiles and the risk of developing diabetes. Nature Medicine, 17(4), 448–453. doi:10.​1038/​nm.​2307 .PubMed PubMedCentral CrossRef
  Wang-Sattler, R., Yu, Z., Herder, C., Messias, A. C., Floegel, A., He, Y., et al. (2012). Novel biomarkers for pre-diabetes identified by metabolomics. Molecular Systems Biology, 8(1), 615. doi:10.​1038/​msb.​2012.​43 .PubMed PubMedCentral
  Xu, F., Tavintharan, S., Sum, C. F., Woon, K., Lim, S. C., & Ong, C. N. (2013a). Metabolic signature shift in type 2 diabetes mellitus revealed by mass spectrometry-based metabolomics. The Journal of Clinical Endocrinology & Metabolism, 98(6), E1060–E1065. doi:10.​1210/​jc.​2012-4132 .CrossRef
  Xu, Y., Wang, L., He, J., et al. (2013b). Prevalence and control of diabetes in Chinese adults. JAMA, 310(9), 948–959. doi:10.​1001/​jama.​2013.​168118 .PubMed CrossRef
  Zhang, G., Sun, Q., Hu, F. B., Ye, X., Yu, Z., Zong, G., et al. (2012). Erythrocyte n-3 fatty acids and metabolic syndrome in middle-aged and older Chinese. The Journal of Clinical Endocrinology and Metabolism, 97(6), E973–E977. doi:10.​1210/​jc.​2011-2997 .PubMed CrossRef
  Zheng, W., Chow, W.-H., Yang, G., Jin, F., Rothman, N., Blair, A., et al. (2005). The Shanghai Women’s Health Study: Rationale, study design, and baseline characteristics. American Journal of Epidemiology, 162(11), 1123–1131. doi:10.​1093/​aje/​kwi322 .PubMed CrossRef
  
• 作者单位：Danxia Yu (1)
  Steven C. Moore (2)
  Charles E. Matthews (2)
  Yong-Bing Xiang (3)
  Xianglan Zhang (1)
  Yu-Tang Gao (3)
  Wei Zheng (1)
  Xiao-Ou Shu (1)
  
  1. Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, 2525 West End Avenue, Suite 600, Nashville, TN, 37203, USA
  2. Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA
  3. Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200031, China
  
• 刊物主题：Biochemistry, general; Molecular Medicine; Cell Biology; Developmental Biology; Biomedicine general;
• 出版者：Springer US
• ISSN：1573-3890

文摘

Metabolomic studies have identified several metabolites associated with type 2 diabetes (T2D) in populations of European ancestry. East Asians, a population of particular susceptibility to T2D, were generally not included in previous studies. We examined the associations of plasma metabolites with risk and prevalence of T2D in 976 Chinese men and women (40–74 years of age) who were participants of two prospective cohort studies and had no cardiovascular disease or cancer at baseline. Sixty-eight prevalent and 73 incident T2D cases were included. Non-targeted metabolomics was conducted that detected 689 metabolites with known identities and 690 unknown metabolites. Multivariable logistic and Cox regressions were used to evaluate the associations of standardized metabolites with diabetes risk and prevalence. We identified 36 known metabolites and 10 unknown metabolites associated with prevalent and/or incident T2D at false discovery rate <0.05. The known metabolites are involved in metabolic pathways of glycolysis/gluconeogenesis, branched-chain amino acids, other amino acids, fatty acids, glycerophospholipids, androgen, and bradykinin. Six metabolites showed independent associations with incident T2D: 1,5-anhydroglucitol, mannose, valine, 3-methoxytyrosine, docosapentaenoate (22:5n3), and bradykinin-hydroxy-pro(3). Each standard deviation increase in these metabolites was associated with a 40–150 % change in risk of developing diabetes (30–80 % after further adjustment for glucose). Risk prediction was significantly improved by adding these metabolites in addition to known T2D risk factors, including central obesity and glucose. These findings suggest that hexoses, branched-chain amino acids, and yet to be validated novel plasma metabolites may improve risk prediction and mechanistic understanding of T2D in Chinese populations.