Journal of Shandong University (Health Sciences) ›› 2023, Vol. 61 ›› Issue (5): 102-107.doi: 10.6040/j.issn.1671-7554.0.2023.0085

• 公共卫生与管理学 • Previous Articles    

A mendelian randomization analysis on the causal associations between amino acids and type 2 diabetes

ZHANG Tianxin1,2, ZHANG Ting3, HUANG Xin1,2, HAN Jiayi1,2, WANG Shukang1,2   

  1. 1. Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China;
    2. Institute of Medical Dataology, Shandong University, Jinan 250002, Shandong, China;
    3. Department of Pharmacy, Shandong Public Health Clinical Center, Jinan 250102, Shandong, China
  • Published:2023-05-15

Abstract: Objective To investigate the bidirectional causal association between amino acids and type 2 diabetes(T2D). Methods Data of genome-wide association study on amino acids and T2D were collected. Inverse variance weighted method, weighted median method, MR-Egger regression method, MR robust adjusted profile score method and MR pleiotropy residual sum and outlier method(MR-PRESSO)were adopted for two-sample bidirectional mendelian randomization(MR)analysis. Cochrans Q test, MR-Egger intercept test, and MR-PRESSO global test were used to evaluate the heterogeneity and pleiotropy of the results. Results The results of inverse variance weighted method showed that leucine(OR=1.239, 95%CI: 1.078-1.424, P=0.002 5)and valine(OR=1.222, 95%CI: 1.071-1.394, P=0.002 9)increased the risk of T2D, while glycine(OR=0.885, 95%CI: 0.831-0.942, P=0.000 1)decreased the risk. The results of reverse MR analysis showed that the risk of T2D was causally associated with increased leucine, isoleucine, valine, alanine, phenylalanine and tyrosine, and decreased glycine. The results of multiple MR methods suggested robustness of causal associations and no potential pleiotropy was found in the sensitivity analysis. Conclusion Higher levels of leucine and valine and lower level of glycine have bidirectional causal associations with T2D risk. T2D has positive causal effects on isoleucine, alanine, phenylalanine and tyrosine.

Key words: Amino acids, Type 2 diabetes, Mendelian randomization, Causal inference, Branched-chain amino acids

CLC Number: 

  • R587.1
[1] Sun H, Saeedi P, Karuranga S, et al. IDF diabetes atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045 [J]. Diabetes Res Clin Pract, 2022, 183: 109119. doi: 10.1016/j.diabres.2021.109119.
[2] Gar C, Rottenkolber M, Prehn C, et al. Serum and plasma amino acids as markers of prediabetes, insulin resistance, and incident diabetes [J]. Crit Rev Clin Lab Sci, 2018, 55(1): 21-32.
[3] 文江平, 郝洁, 陶丽新, 等. 血浆氨基酸水平与2型糖尿病发生的巢式病例对照研究[J].中华糖尿病杂志, 2017, 9(12): 764-769. WEN Jiangping, HAO Jie, TAO Lixin, et al. Association of plasma amino acids and the risk of developing diabetes in a rural Chinese population: a nested case-control study [J]. Chinese Journal of Diabetes Mellitus, 2017, 9(12): 764-769.
[4] Ahola-Olli AV, Mustelin L, Kalimeri M, et al. Circulating metabolites and the risk of type 2 diabetes: a prospective study of 11,896 young adults from four Finnish cohorts [J]. Diabetologia, 2019, 62(12): 2298-2309.
[5] Lawlor DA, Harbord RM, Sterne JAC, et al. Mendelian randomization: using genes as instruments for making causal inferences in epidemiology [J]. Stat Med, 2008, 27(8): 1133-1163.
[6] Julkunen H, Cichońska A, Slagboom PE, et al. Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population [J]. Elife, 2021, 10: e63033. doi: 10.7554/eLife.63033.
[7] Zheng J, Baird D, Borges MC, et al. Recent developments in mendelian randomization studies [J]. Curr Epidemiol Rep, 2017, 4(4): 330-345.
[8] Brion MJA, Shakhbazov K, Visscher PM. Calculating statistical power in mendelian randomization studies [J]. Int J Epidemiol, 2013, 42(5): 1497-1501.
[9] Hemani G, Tilling K, Davey Smith G. Orienting the causal relationship between imprecisely measured traits using GWAS summary data [J]. PLoS Genet, 2017, 13(11): e1007081. doi: 10.1371/journal.pgen.1007081.
[10] Burgess S, Butterworth A, Thompson SG. Mendelian randomization analysis with multiple genetic variants using summarized data [J]. Genet Epidemiol, 2013, 37(7): 658-665.
[11] Bowden J, Davey Smith G, Haycock PC, et al. Consistent estimation in mendelian randomization with some invalid instruments using a weighted median estimator [J]. Genet Epidemiol, 2016, 40(4): 304-314.
[12] Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through egger regression [J]. Int J Epidemiol, 2015, 44(2): 512-525.
[13] Zhao Q, Wang J, Hemani G, et al. Statistical inference in two-sample summary-data mendelian randomization using robust adjusted profile score [J]. Ann Stat, 2020, 48(3): 1742-1769.
[14] Verbanck M, Chen CY, Neale B, et al. Detection of widespread horizontal pleiotropy in causal relationships inferred from mendelian randomization between complex traits and diseases [J]. Nat Genet, 2018, 50(5): 693-698.
[15] Bowden J, Spiller W, Del Greco MF, et al. Improving the visualization, interpretation and analysis of two-sample summary data mendelian randomization via the radial plot and radial regression [J]. Int J Epidemiol, 2018, 47(4): 1264-1278.
[16] Newgard CB, An J, Bain JR, et al. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance [J]. Cell Metab, 2009, 9(4): 311-326.
[17] Wang-Sattler R, Yu Z, Herder C, et al. Novel biomarkers for pre-diabetes identified by metabolomics [J]. Mol Syst Biol, 2012, 8: 615. doi: 10.1038/msb.2012.43.
[18] Badoud F, Lam KP, DiBattista A, et al. Serum and adipose tissue amino acid homeostasis in the metabolically healthy obese [J]. J Proteome Res, 2014, 13(7): 3455-3466.
[19] Palmer ND, Stevens RD, Antinozzi PA, et al. Metabolomic profile associated with insulin resistance and conversion to diabetes in the insulin resistance atherosclerosis study [J]. J Clin Endocrinol Metab, 2015, 100(3): E463-E468.
[20] Rebholz CM, Yu B, Zheng Z, et al. Serum metabolomic profile of incident diabetes [J]. Diabetologia, 2018, 61(5): 1046-1054.
[21] Merino J, Leong A, Liu CT, et al. Metabolomics insights into early type 2 diabetes pathogenesis and detection in individuals with normal fasting glucose [J]. Diabetologia, 2018, 61(6): 1315-1324.
[22] 王凤华, 刘静, 邓秋菊, 等. 血浆20种氨基酸水平与糖尿病风险的关联研究[J]. 中华内科杂志, 2019, 58(4): 270-277. WANG Fenghua, LIU Jing, DENG Qiuju, et al. The association between plasma levels of 20 amino acids and risk of diabetes [J]. Chinese Journal of Internal Medicine, 2019, 58(4): 270-277.
[23] Shi L, Brunius C, Lehtonen M, et al. Plasma metabolites associated with type 2 diabetes in a Swedish population: a case-control study nested in a prospective cohort [J]. Diabetologia, 2018, 61(4): 849-861.
[24] Wang TJ, Larson MG, Vasan RS, et al. Metabolite profiles and the risk of developing diabetes [J]. Nat Med, 2011, 17(4): 448-453.
[25] White PJ, McGarrah RW, Herman MA, et al. Insulin action, type 2 diabetes, and branched-chain amino acids: a two-way street [J]. Mol Metab, 2021, 52: 101261. doi: 10.1016/j.molmet.2021.101261.
[26] Patti ME, Brambilla E, Luzi L, et al. Bidirectional modulation of insulin action by amino acids [J]. J Clin Invest, 1998, 101(7): 1519-1529.
[27] Krebs M, Krssak M, Bernroider E, et al. Mechanism of amino acid-induced skeletal muscle insulin resistance in humans [J]. Diabetes, 2002, 51(3): 599-605.
[28] Chen L, Zhang J, Li C, et al. Glycine transporter-1 and glycine receptor mediate the antioxidant effect of glycine in diabetic rat islets and INS-1 cells [J]. Free Radic Biol Med, 2018, 123: 53-61. doi: 10.1016/j.freeradbiomed.2018.05.007.
[29] Wang Q, Holmes MV, Davey Smith G, et al. Genetic support for a causal role of insulin resistance on circulating branched-chain amino acids and inflammation [J]. Diabetes Care, 2017, 40(12): 1779-1786.
[30] Wittemans LBL, Lotta LA, Oliver-Williams C, et al. Assessing the causal association of glycine with risk of cardio-metabolic diseases [J]. Nat Commun, 2019, 10(1): 1060. doi: 10.1038/s41467-019-08936-1.
[31] Vangipurapu J, Stancáková A, Smith U, et al. Nine amino acids are associated with decreased insulin secretion and elevated glucose levels in a 7.4-year follow-up study of 5,181 Finnish men [J]. Diabetes, 2019, 68(6): 1353-1358.
[32] Luzi L, Castellino P, DeFronzo RA. Insulin and hyperaminoacidemia regulate by a different mechanism leucine turnover and oxidation in obesity [J]. Am J Physiol, 1996, 270(2 Pt 1): E273-E281.
[33] Okun JG, Rusu PM, Chan AY, et al. Liver alanine catabolism promotes skeletal muscle atrophy and hyperglycaemia in type 2 diabetes [J]. Nat Metab, 2021, 3(3): 394-409.
[34] Alves A, Bassot A, Bulteau AL, et al. Glycine metabolism and its alterations in obesity and metabolic diseases [J]. Nutrients, 2019, 11(6): 1356. doi: 10.3390/nu11061356.
[1] LI Jinquan, GAO Meifang, YAN Fei, DONG Ming. Frequency and risk factors of muscle cramp in 136 cases of type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2023, 61(5): 20-24.
[2] ZHANG Kai, SI Shucheng, LI Jiqing, LIU Xiaowen, ZHAO Yingqi, XUE Fuzhong. Mendelian randomization study of sleep phenotypes and irritable bowel syndrome [J]. Journal of Shandong University (Health Sciences), 2022, 60(8): 109-114.
[3] ZHAO Meiru, ZHU Di, LIU Lin, GUAN Qingbo, ZHANG Xu. Association of 4 simple insulin resistance indicators with the risk of hyperuricemia in 698 patients with type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2022, 60(12): 44-51.
[4] YU Shujuan, WANG Meijuan, CHEN Li, CAO Yingjuan LYU Xiaoyan, LIU Xueyan, LIN Peng, YAN Jingzheng. Influencing factors of mild cognitive impairment in elderly patients with type 2 diabetes [J]. Journal of Shandong University (Health Sciences), 2022, 60(11): 108-112.
[5] LYU Li, JIANG Lu, CHEN Shihong, ZHUANG Xianghua, SONG Yuwen, WANG Dianhui, AN Wenjuan, LI Qian, PAN Zhe. Related factors of osteoporosis in 210 postmenopausal women with type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2021, 59(7): 19-25.
[6] YANG Xuan, LI Yanzhi, MA Wei, JIA Chongqi. Causal influence of lung function on risk of fatality of COVID-19: a two-sample Mendelian randomization study [J]. Journal of Shandong University (Health Sciences), 2021, 59(7): 104-111.
[7] ZHENG Fengjie, SONG Yuwen, SUN Aili, PAN Zhe, WANG Dianhui, LOU Nengjun, LYU Li, ZHUANG Xianghua, CHEN Shihong. Correlation between diabetic peripheral neuropathy and sarcopenia [J]. Journal of Shandong University (Health Sciences), 2021, 59(6): 38-44.
[8] LIU Ping, SONG Yuwen, WANG Ping, TIAN Guangwei, ZHENG Fengjie, LYU Li, DU Jiaojiao, ZHANG Jing, ZHUANG Xianghua, CHEN Shihong. Correlation between vitamin D deficiency and depression in patients with type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2021, 59(6): 51-56.
[9] WANG Yuyu, GAO Li, CHEN Shaohua. Association between cognitive impairment and thyroid function after acute ischemic stroke in 94 patients with type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2020, 58(5): 56-61.
[10] LI Yunxia, LI Hongkai, MA Yuntao, YU Yuanyuan, SUN Xiaoru, LIU Xinhui, SI Shucheng, HOU Lei, YUAN Tonghui, LIU Lu, LI Wenchao, XUE Fuzhong, LIU Yanxun. Causal association between height and risk of coronary heart disease: a two-sample Mendelian randomization analysis [J]. Journal of Shandong University (Health Sciences), 2020, 58(5): 107-114.
[11] TANG Bo, SHAO Jing, CUI Jing, SUN Jianping. A mechanism study on the association of type 2 diabetes and high-density lipoprotein [J]. Journal of Shandong University (Health Sciences), 2020, 58(3): 99-106.
[12] JIN Haiyan, ZHANG Yan, MA Xiaoli, HAN Yu, ZHAO Huichen, LIU Yuantao, ZHANG Yuchao. Expressions of miR-122 and miR-33a in patients with type 2 diabetes complicated with coronary artery disease [J]. Journal of Shandong University (Health Sciences), 2020, 58(3): 94-98.
[13] JIANG Lijuan, LIU Fuqiang, JIANG Ziyun, LI Wenjuan, LIN Peng, WANG Chuan, HOU Xinguo, CHEN Li. Dapagliflozin improves lipid metabolism and visceral adipose tissues in overweight and obese patients with type 2 diabetes [J]. Journal of Shandong University (Health Sciences), 2019, 57(6): 87-93.
[14] DU Hao, CHENG Yugang, HUANG Xin, LIU Shaozhuang, ZHANG Guangyong, HU Sanyuan. Effects of sleeve gastrectomy on lung injury in type 2 diabetic rats [J]. Journal of Shandong University (Health Sciences), 2019, 57(4): 20-26.
[15] XU Qiongqiong, GUO Xiaolei, CHU Jie, JING Zhengyue, ZHANG Xinyi, ZHOU Chengchao. Health-related quality of life and its influencing factors in type 2 diabetes patients in Shandong Province [J]. Journal of Shandong University (Health Sciences), 2019, 57(3): 96-103.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!