TG主要衍生代谢指数与糖尿病患者并发冠心病关系的研究进展
Research Progress on the Relationship between Major Triglyceride-Derived Metabolic Indices and Coronary Artery Disease Complicating Diabetes Mellitus
DOI: 10.12677/acm.2026.162408, PDF,   
作者: 井 淼:西安医学院研究生院,陕西 西安;严琴琴:西安医学院全科医学研究所,陕西 西安;张 蓓:西安医学院第一附属医院神经内科,陕西 西安;吴 江:西安市韩森寨社区卫生服务中心,陕西 西安
关键词: 糖尿病冠心病甘油三酯–葡萄糖指数Diabetes Mellitus Coronary Artery Disease Triglyceride-Glucose Index
摘要: 冠状动脉粥样硬化性心脏病(冠心病)是全球范围内严重威胁人类健康的慢性疾病之一。随着生活水平的提高,其常见危险因素之一——糖尿病的发病率——也逐年升高。胰岛素抵抗与糖尿病和冠心病的发生、发展密切相关。甘油三酯(TG)是主要衍生代谢指数,包括甘油三酯–葡萄糖指数(TyG)、动脉粥样硬化指数(AIP)及甘油三酯–葡萄糖–体重指数(TyG-BMI),作为反映脂质代谢紊乱和胰岛素抵抗的新型综合指标,近年来在糖尿病患者并发冠心病的风险评估中备受关注。文章归纳总结胰岛素抵抗在糖尿病患者并发冠心病中的病理生理机制,以及TG主要衍生代谢指数(TyG, AIP, TyG-BMI)与糖尿病患者并发冠心病之间的关系。
Abstract: Coronary atherosclerotic heart disease (CAD) is one of the chronic conditions that poses a grave threat to human health worldwide. Concurrently, as living standards improved, the incidence of diabetes mellitus—a key risk factor for CAD—had risen steadily. Insulin resistance (IR) was recognized as playing a central role in the pathogenesis and progression of both diabetes and CAD. Several triglyceride (TG)-derived metabolic indices, including the triglyceride-glucose (TyG) index, the atherogenic index of plasma (AIP), and the triglyceride-glucose-body mass index (TyG-BMI), have emerged as integrated surrogate markers of dyslipidemia and IR. These indices had attracted considerable interest for their potential in risk stratification of CAD among diabetic patients. This article summarizes the pathophysiological mechanisms of insulin resistance in diabetic patients complicated with coronary heart disease, as well as the relationship between triglyceride‑related derivative metabolic indices (TyG, AIP, TyG‑BMI) and the occurrence of coronary heart disease in diabetic patients.
文章引用:井淼, 严琴琴, 张蓓, 吴江. TG主要衍生代谢指数与糖尿病患者并发冠心病关系的研究进展[J]. 临床医学进展, 2026, 16(2): 410-418. https://doi.org/10.12677/acm.2026.162408

参考文献

[1] Virani, S.S., Alonso, A., Aparicio, H.J., Benjamin, E.J., Bittencourt, M.S., Callaway, C.W., et al. (2021) Heart Disease and Stroke Statistics—2021 Update. Circulation, 143, e254-e743. [Google Scholar] [CrossRef] [PubMed]
[2] Zaman, S., Wasfy, J.H., Kapil, V., Ziaeian, B., Parsonage, W.A., Sriswasdi, S., et al. (2025) The Lancet Commission on Rethinking Coronary Artery Disease: Moving from Ischaemia to Atheroma. The Lancet, 405, 1264-1312. [Google Scholar] [CrossRef] [PubMed]
[3] Zhang, Y., Ding, X., Hua, B., Liu, Q., Gao, H., Chen, H., et al. (2021) Predictive Effect of Triglyceride‑Glucose Index on Clinical Events in Patients with Type 2 Diabetes Mellitus and Acute Myocardial Infarction: Results from an Observational Cohort Study in China. Cardiovascular Diabetology, 20, Article No. 43. [Google Scholar] [CrossRef] [PubMed]
[4] Babes, E.E., Bustea, C., Behl, T., Abdel-Daim, M.M., Nechifor, A.C., Stoicescu, M., et al. (2022) Acute Coronary Syndromes in Diabetic Patients, Outcome, Revascularization, and Antithrombotic Therapy. Biomedicine & Pharmacotherapy, 148, Article 112772. [Google Scholar] [CrossRef] [PubMed]
[5] Dwivedi, A.K., Dubey, P., Reddy, S.Y. and Clegg, D.J. (2022) Associations of Glycemic Index and Glycemic Load with Cardiovascular Disease: Updated Evidence from Meta-Analysis and Cohort Studies. Current Cardiology Reports, 24, 141-161. [Google Scholar] [CrossRef] [PubMed]
[6] Ormazabal, V., Nair, S., Elfeky, O., Aguayo, C., Salomon, C. and Zuñiga, F.A. (2018) Association between Insulin Resistance and the Development of Cardiovascular Disease. Cardiovascular Diabetology, 17, Article No. 122. [Google Scholar] [CrossRef] [PubMed]
[7] Tao, L.C., Xu, J.N., Wang, T.T., Hua, F. and Li, J.J. (2022) Triglyceride-Glucose Index as a Marker in Cardiovascular Diseases: Landscape and Limitations. Cardiovascular Diabetology, 21, Article No. 68. [Google Scholar] [CrossRef] [PubMed]
[8] De Fronzo, R.A., Tobin, J.D. and Andres, R. (1979) Glucose Clamp Technique: A Method for Quantifying Insulin Secretion and Resistance. American Journal of Physiology-Endocrinology and Metabolism, 237, E214. [Google Scholar] [CrossRef] [PubMed]
[9] Matthews, D.R., Hosker, J.P., Rudenski, A.S., Naylor, B.A., Treacher, D.F. and Turner, R.C. (1985) Homeostasis Model Assessment: Insulin Resistance and Cell Function from Fasting Plasma Glucose and Insulin Concentrations in Man. Diabetologia, 28, 412-419. [Google Scholar] [CrossRef] [PubMed]
[10] Iwani, N.A.K.Z., Jalaludin, M.Y., Zin, R.M.W.M., Fuziah, M.Z., Hong, J.Y.H., Abqariyah, Y., et al. (2017) Triglyceride to HDL-C Ratio Is Associated with Insulin Resistance in Overweight and Obese Children. Scientific Reports, 7, Article No. 40055. [Google Scholar] [CrossRef] [PubMed]
[11] Er, L.K., Wu, S., Chou, H.H., Hsu, L.A., Teng, M., Sun, Y., et al. (2016) Triglyceride Glucose-Body Mass Index Is a Simple and Clinically Useful Surrogate Marker for Insulin Resistance in Nondiabetic Individuals. PLOS ONE, 11, e0149731. [Google Scholar] [CrossRef] [PubMed]
[12] Tao, S., Yu, L., Li, J., Huang, L., Xue, T., Yang, D., et al. (2024) Multiple Triglyceride-Derived Metabolic Indices and Incident Cardiovascular Outcomes in Patients with Type 2 Diabetes and Coronary Heart Disease. Cardiovascular Diabetology, 23, Article No. 359. [Google Scholar] [CrossRef] [PubMed]
[13] Yang, J., Xu, G., Hong, Q., Liebich, H., Lutz, K., Schmulling, R., et al. (2004) Discrimination of Type 2 Diabetic Patients from Healthy Controls by Using Metabonomics Method Based on Their Serum Fatty Acid Profiles. Journal of Chromatography B, 813, 53-58. [Google Scholar] [CrossRef] [PubMed]
[14] de Luis, D.A., Izaola, O., Primo, D., Aller, R., Ortola, A., Gómez, E., et al. (2018) The Association of SNP276G>T at Adiponectin Gene with Insulin Resistance and Circulating Adiponectin in Response to Two Different Hypocaloric Diets. Diabetes Research and Clinical Practice, 137, 93-99. [Google Scholar] [CrossRef] [PubMed]
[15] Bhat, N. and Mani, A. (2023) Dysregulation of Lipid and Glucose Metabolism in Nonalcoholic Fatty Liver Disease. Nutrients, 15, Article 2323. [Google Scholar] [CrossRef] [PubMed]
[16] Horton, W.B., Love, K.M., Gregory, J.M., Liu, Z. and Barrett, E.J. (2025) Metabolic and Vascular Insulin Resistance: Partners in the Pathogenesis of Cardiovascular Disease in Diabetes. American Journal of Physiology-Heart and Circulatory Physiology, 328, H1218-H1236. [Google Scholar] [CrossRef] [PubMed]
[17] Muniyappa, R. and Sowers, J.R. (2013) Role of Insulin Resistance in Endothelial Dysfunction. Reviews in Endocrine and Metabolic Disorders, 14, 5-12. [Google Scholar] [CrossRef] [PubMed]
[18] Brownlee, M. (2001) Biochemistry and Molecular Cell Biology of Diabetic Complications. Nature, 414, 813-820. [Google Scholar] [CrossRef] [PubMed]
[19] Nishikawa, T., Edelstein, D., Du, X.L., Yamagishi, S., Matsumura, T., Kaneda, Y., et al. (2000) Normalizing Mitochondrial Superoxide Production Blocks Three Pathways of Hyperglycaemic Damage. Nature, 404, 787-790. [Google Scholar] [CrossRef] [PubMed]
[20] Rani, V., Deep, G., Singh, R.K., Palle, K. and Yadav, U.C.S. (2016) Oxidative Stress and Metabolic Disorders: Pathogenesis and Therapeutic Strategies. Life Sciences, 148, 183-193. [Google Scholar] [CrossRef] [PubMed]
[21] Libby, P. (2021) The Changing Landscape of Atherosclerosis. Nature, 592, 524-533. [Google Scholar] [CrossRef] [PubMed]
[22] Beckman, J.A., Creager, M.A. and Libby, P. (2025) Diabetes and Atherosclerosis: Epidemiology, Pathophysiology, and Management. Journal of the American Medical Association, 287, 2570-2581. [Google Scholar] [CrossRef] [PubMed]
[23] Hirano, T. (2018) Pathophysiology of Diabetic Dyslipidemia. Journal of Atherosclerosis and Thrombosis, 25, 771-782. [Google Scholar] [CrossRef] [PubMed]
[24] Dobiášová, M. (2006) AI Paterogenní index plazmy jako významný prediktor kardiovaskulární horizika: Od výzkumu do praxe. Vnitrní Lékařství, 52, 64-71.
[25] Muraba, Y., Koga, T., Shimomura, Y., Ito, Y., Hirao, Y., Kobayashi, J., et al. (2018) The Role of Plasma Lipoprotein Lipase, Hepatic Lipase and GPIHBP1 in the Metabolism of Remnant Lipoproteins and Small Dense LDL in Patients with Coronary Artery Disease. Clinica Chimica Acta, 476, 146-153. [Google Scholar] [CrossRef] [PubMed]
[26] 叶菁, 徐哲明, 官常荣. 不同葡萄糖代谢状态人群AIP、TyG与冠状动脉疾病及其严重程度的关系研究[J]. 心电与循环, 2024, 43(5): 483-487+492.
[27] Lee, E.Y., Yang, H.K., Lee, J., Kang, B., Yang, Y., Lee, S., et al. (2016) Triglyceride Glucose Index, a Marker of Insulin Resistance, Is Associated with Coronary Artery Stenosis in Asymptomatic Subjects with Type 2 Diabetes. Lipids in Health and Disease, 15, Article No. 155. [Google Scholar] [CrossRef] [PubMed]
[28] Zhang, Y.S., Shi, R., Jiang, Y.N., Gao, Y., Jiang, Y., Wang, J., et al. (2025) The Association between the Triglyceride-Glucose Index and Vulnerable Plaques in Patients with Type 2 Diabetes Mellitus: Insights from Coronary Computed Tomography Angiography. Cardiovascular Diabetology, 24, Article No. 169. [Google Scholar] [CrossRef] [PubMed]
[29] Li, J., Dong, Z., Wu, H., Liu, Y., Chen, Y., Li, S., et al. (2023) The Triglyceride-Glucose Index Is Associated with Atherosclerosis in Patients with Symptomatic Coronary Artery Disease, Regardless of Diabetes Mellitus and Hyperlipidaemia. Cardiovascular Diabetology, 22, Article No. 224. [Google Scholar] [CrossRef] [PubMed]
[30] Su, J., Li, Z., Huang, M., Wang, Y., Yang, T., Ma, M., et al. (2022) Triglyceride Glucose Index for the Detection of the Severity of Coronary Artery Disease in Different Glucose Metabolic States in Patients with Coronary Heart Disease: A RCSCD-TCM Study in China. Cardiovascular Diabetology, 21, Article No. 96. [Google Scholar] [CrossRef] [PubMed]
[31] Wang, X., Xu, W., Song, Q., Zhao, Z., Meng, X., Xia, C., et al. (2022) Association between the Triglyceride-Glucose Index and Severity of Coronary Artery Disease. Cardiovascular Diabetology, 21, Article No. 168. [Google Scholar] [CrossRef] [PubMed]
[32] Zhao, S., Wang, Z., Qing, P., Li, M., Liu, Q., Pang, X., et al. (2024) Comprehensive Analysis of the Association between Triglyceride-Glucose Index and Coronary Artery Disease Severity across Different Glucose Metabolism States: A Large-Scale Cross-Sectional Study from an Asian Cohort. Cardiovascular Diabetology, 23, Article No. 251. [Google Scholar] [CrossRef] [PubMed]
[33] Zhang, X.D., Niu, N., Yu, S.Q., et al. (2025) Correlation of the Triglyceride-Glucose Index with Major Adverse Cardiovascular Events in Type 2 Diabetes Mellitus Patients with Acute Myocardial Infarction Combined with HFpEF. Frontiers in Endocrinology, 16, Article 1585067. [Google Scholar] [CrossRef
[34] Liu, C., Liang, D., Xiao, K. and Xie, L. (2024) Association between the Triglyceride-Glucose Index and All-Cause and CVD Mortality in the Young Population with Diabetes. Cardiovascular Diabetology, 23, Article No. 171. [Google Scholar] [CrossRef] [PubMed]
[35] Yin, B., Wu, Z., Xia, Y., Xiao, S., Chen, L. and Li, Y. (2023) Non-Linear Association of Atherogenic Index of Plasma with Insulin Resistance and Type 2 Diabetes: A Cross-Sectional Study. Cardiovascular Diabetology, 22, Article No. 157. [Google Scholar] [CrossRef] [PubMed]
[36] Mazidi, M., Katsiki, N., Mikhailidis, D.P. and Banach, M. (2019) Association of Ideal Cardiovascular Health Metrics with Serum Uric Acid, Inflammation and Atherogenic Index of Plasma: A Population-Based Survey. Atherosclerosis, 284, 44-49. [Google Scholar] [CrossRef] [PubMed]
[37] 郭云飞, 王亚柱, 刘超, 等. 血浆致动脉硬化指数与冠心病合并2型糖尿病的相关性分析[J]. 医学信息, 2022, 35(9): 108-111.
[38] 刘静怡, 司月乔, 张英, 等. 血浆动脉粥样硬化指数和甘油三酯葡萄糖指数及新风险评分模型对2型糖尿病合并冠心病患病风险评估初探[J]. 中国心血管病研究, 2022, 20(3): 226-230.
[39] Wu, X., Qiu, W., Yang, H., Chen, Y., Liu, J. and Zhao, G. (2024) Associations of the Triglyceride-Glucose Index and Atherogenic Index of Plasma with the Severity of New-Onset Coronary Artery Disease in Different Glucose Metabolic States. Cardiovascular Diabetology, 23, Article No. 76. [Google Scholar] [CrossRef] [PubMed]
[40] 李彤, 徐晨曦, 王钰碧, 等. 血浆致动脉硬化指数对冠心病合并2型糖尿病病人冠状动脉病变程度的预测价值[J]. 中西医结合心脑血管病杂志, 2023, 21(24): 4496-4500.
[41] 王露朝, 柴小奇, 陈玉军, 等. 血浆致动脉粥样硬化指数与2型糖尿病患者并发冠心病及其冠状动脉狭窄程度的关系研究[J]. 实用心脑肺血管病杂志, 2020, 28(6): 22-27+35.
[42] 韩延辉, 张恒亮, 赵劲东, 等. 三酰甘油葡萄糖乘积和血浆致动脉粥样硬化指数与老年冠心病伴2型糖尿病冠状动脉重构关系[J]. 中华老年心脑血管病杂志, 2025, 27(4): 463-467.
[43] Yadegar, A., Mohammadi, F., Seifouri, K., Mokhtarpour, K., Yadegar, S., Bahrami Hazaveh, E., et al. (2025) Surrogate Markers of Insulin Resistance and Coronary Artery Disease in Type 2 Diabetes: U-Shaped TyG Association and Insights from Machine Learning Integration. Lipids in Health and Disease, 24, Article No. 96. [Google Scholar] [CrossRef] [PubMed]
[44] Wang, L., Li, Z., Qiu, R., Luo, L. and Yan, X. (2025) Triglyceride Glucose Index-Body Mass Index as a Predictor of Coronary Artery Disease Severity in Patients with H-Type Hypertension across Different Glucose Metabolic States. Diabetology & Metabolic Syndrome, 17, Article No. 15. [Google Scholar] [CrossRef] [PubMed]
[45] Yang, X., Li, K., Wen, J., Yang, C., Li, Y., Xu, G., et al. (2024) Association of the Triglyceride Glucose-Body Mass Index with the Extent of Coronary Artery Disease in Patients with Acute Coronary Syndromes. Cardiovascular Diabetology, 23, Article No. 24. [Google Scholar] [CrossRef] [PubMed]
[46] Xiao, S., Zhang, Q., Yang, H., Tong, J. and Yang, R. (2024) The Association between Triglyceride Glucose-Body Mass Index and All-Cause and Cardiovascular Mortality in Diabetes Patients: A Retrospective Study from NHANES Database. Scientific Reports, 14, Article No. 13884. [Google Scholar] [CrossRef] [PubMed]
[47] Cheng, J., Cheng, Q., Wu, Y., Yin, J. and He, F. (2025) Association between Triglyceride-Glucose-Body Mass Index and Adverse Prognosis in Elderly Patients with Severe Heart Failure and Type 2 Diabetes: A Retrospective Study Based on the MIMIC-IV Database. Cardiovascular Diabetology, 24, Article No. 299. [Google Scholar] [CrossRef] [PubMed]
[48] Sánchez-García, A., Rodríguez-Gutiérrez, R., Mancillas-Adame, L., González-Nava, V., Díaz González-Colmenero, A., Solis, R.C., et al. (2020) Diagnostic Accuracy of the Triglyceride and Glucose Index for Insulin Resistance: A Systematic Review. International Journal of Endocrinology, 2020, 1-7. [Google Scholar] [CrossRef] [PubMed]
[49] Lim, J., Kim, J., Koo, S.H. and Kwon, G.C. (2019) Comparison of Triglyceride Glucose Index, and Related Parameters to Predict Insulin Resistance in Korean Adults: An Analysis of the 2007-2010 Korean National Health and Nutrition Examination Survey. PLOS ONE, 14, e0212963. [Google Scholar] [CrossRef] [PubMed]