Association between dyslipidemia and plasma levels of branched-chain amino acids in the Japanese population without diabetes mellitus
Tài liệu tham khảo
Stone, 2014, 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines, J Am Coll Cardiol, 63, 2889, 10.1016/j.jacc.2013.11.002
Rana, 2010, Metabolic dyslipidemia and risk of future coronary heart disease in apparently healthy men and women: the EPIC-Norfolk prospective population study, Int J Cardiol, 143, 399, 10.1016/j.ijcard.2009.03.123
2002, Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III) final report, Circulation, 106, 3143, 10.1161/circ.106.25.3143
Rana, 2015, Metabolic Dyslipidemia and Risk of Coronary Heart Disease in 28,318 Adults With Diabetes Mellitus and Low-Density Lipoprotein Cholesterol <100 mg/dl., Am J Cardiol, 116, 1700, 10.1016/j.amjcard.2015.08.039
Mook-Kanamori, 2014, Increased amino acids levels and the risk of developing of hypertriglyceridemia in a 7-year follow-up, J Endocrinol Invest, 37, 369, 10.1007/s40618-013-0044-7
Yamakado, 2015, Plasma free amino acid profiles predict four-year risk of developing diabetes, metabolic syndrome, dyslipidemia, and hypertension in Japanese population, Sci Rep, 5, 11918, 10.1038/srep11918
Yang, 2016, The positive association of branched-chain amino acids and metabolic dyslipidemia in Chinese Han population, Lipids Health Dis, 15, 120, 10.1186/s12944-016-0291-7
Halama, 2016, Metabolic switch during adipogenesis: from branched chain amino acid catabolism to lipid synthesis, Arch Biochem Biophys, 589, 93, 10.1016/j.abb.2015.09.013
Yang, 2014, Association of branched-chain amino acids with carotid intima-media thickness and coronary artery disease risk factors, PLoS One, 9, e99598, 10.1371/journal.pone.0099598
Harada, 2016, Metabolomic profiling reveals novel biomarkers of alcohol intake and alcohol-induced liver injury in community-dwelling men, Environ Health Prev Med, 21, 18, 10.1007/s12199-015-0494-y
Harada, 2018, Reliability of plasma polar metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry, PLoS One, 13, e0191230, 10.1371/journal.pone.0191230
Seino, 2010, Report of the committee on the classification and diagnostic criteria of diabetes mellitus, J Diabetes Investig, 1, 212, 10.1111/j.2040-1124.2010.00074.x
Horio, 2010, Modification of the CKD epidemiology collaboration (CKD-EPI) equation for Japanese: accuracy and use for population estimates, Am J Kidney Dis, 56, 32, 10.1053/j.ajkd.2010.02.344
Chen, 2016, Prevalence of abnormal serum liver enzymes in patients with type 2 diabetes mellitus: a cross-sectional study from China, Postgrad Med, 128, 770, 10.1080/00325481.2016.1242366
Fukai, 2016, Metabolic profiling of total physical activity and sedentary behavior in community-dwelling men, PLoS One, 11, e0164877, 10.1371/journal.pone.0164877
Iida, 2016, Profiling of plasma metabolites in postmenopausal women with metabolic syndrome, Menopause, 23, 749, 10.1097/GME.0000000000000630
Wakabayashi, 2018, Associations between sleep-disordered breathing and metabolic risk factors beyond obesity, J Diabetes Res, 2018, 1567683, 10.1155/2018/1567683
Kuwabara, 2016, Relationship between non-high-density lipoprotein cholesterol and low-density lipoprotein cholesterol in the general population, J Atheroscler Thromb, 23, 477, 10.5551/jat.33100
Cui, 2001, Non-high-density lipoprotein cholesterol level as a predictor of cardiovascular disease mortality, Arch Intern Med, 161, 1413, 10.1001/archinte.161.11.1413
Kinoshita, 2018, Japan Atherosclerosis Society (JAS) guidelines for prevention of atherosclerotic cardiovascular diseases 2017, J Atheroscler Thromb, 25, 846, 10.5551/jat.GL2017
Newgard, 2012, Interplay between lipids and branched-chain amino acids in development of insulin resistance, Cell Metab, 15, 606, 10.1016/j.cmet.2012.01.024
Wang, 2011, Metabolite profiles and the risk of developing diabetes, Nat Med, 17, 448, 10.1038/nm.2307
McCormack, 2013, Circulating branched-chain amino acid concentrations are associated with obesity and future insulin resistance in children and adolescents, Pediatr Obes, 8, 52, 10.1111/j.2047-6310.2012.00087.x
Lin, 2018, Associations of lipid parameters with insulin resistance and diabetes: a population-based study, Clin Nutr, 37, 1423, 10.1016/j.clnu.2017.06.018
Cheng, 2018, Dose-response association between the triglycerides: high-density lipoprotein cholesterol ratio and type 2 diabetes mellitus risk: the rural Chinese cohort study and meta-analysis, J Diabetes, 11, 183, 10.1111/1753-0407.12836
She, 2007, Obesity-related elevations in plasma leucine are associated with alterations in enzymes involved in branched-chain amino acid metabolism, Am J Physiol Endocrinol Metab, 293, E1552, 10.1152/ajpendo.00134.2007
Newgard, 2009, A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance, Cell Metab, 9, 311, 10.1016/j.cmet.2009.02.002
Huffman, 2009, Relationships between circulating metabolic intermediates and insulin action in overweight to obese, inactive men and women, Diabetes Care, 32, 1678, 10.2337/dc08-2075
Shimobayashi, 2016, Multiple amino acid sensing inputs to mTORC1, Cell Res, 26, 7, 10.1038/cr.2015.146
Bakan, 2012, Connecting mTORC1 signaling to SREBP-1 activation, Curr Opin Lipidol, 23, 226, 10.1097/MOL.0b013e328352dd03
Han, 2018, mTORC1 signaling in hepatic lipid metabolism, Protein Cell, 9, 145, 10.1007/s13238-017-0409-3
Horton, 2002, SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver, J Clin Invest, 109, 1125, 10.1172/JCI0215593
Laplante, 2009, mTOR signaling at a glance, J Cell Sci, 122, 3589, 10.1242/jcs.051011