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胰岛素抵抗及其新型评价指标与心血管疾病相性研究进展
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Abstract:
随着人们生活水平的不断提高,心血管疾病(cardiovascular disease, CVD)目前已经排在全球致死疾病中的首位,对人类健康产生了严重威胁,同时也是当前全世界经济负担最重的疾病。2型糖尿病(type 2 diabetes mellitus, T2DM)是各种CVD的独立危险因素,包括冠心病,心力衰竭(heart failure, HF),中风,外周动脉疾病(peripheral arterial disease, PAD)等。T2DM患者发生CVD的风险较高,极易致使患者出现微血管病变或者大血管病变,其中冠状动脉病变在血管病变中危害性最大。胰岛素抵抗(insulin resistance, IR)是T2DM和CVD的共同病理生理基础,评估IR状态对CVD的防治大有裨益。目前评估IR的方法种类繁多,葡萄糖钳夹技术(glucose clamp technique, GCT)、胰岛素稳态模型技术(homeostatic model assessment of insulin resistance, HOMA-IR)等传统评价方式以其独特的优势使其在某些方面仍然不可替代,但是这些传统评估方法也存在一定的局限性,比如程序步骤相对繁琐复杂、可重复性差、对受试者依从性要求较高等使其不适用于大规模的、常规的临床评估。近年来涌现出诸多新型评估IR的方法,可以通过简单的常规生化测试计算,其在一定程度上弥补了传统IR评估方法的缺点且评估效能不亚于传统评价指标。本文主要阐述IR及其新型评价指标与CVD相关性研究进展。
With the continuous improvement of people’s living standards, cardiovascular disease (CVD) has now ranked as the leading cause of death globally, posing a serious threat to human health and being the most economically burdensome disease worldwide. Type 2 diabetes mellitus (T2DM) is an independent risk factor for various cardiovascular diseases, including coronary heart disease, heart failure, stroke, and peripheral arterial disease. Patients with T2DM have a higher risk of developing cardiovascular diseases and are prone to microvascular and macrovascular complications, with coronary artery disease being the most harmful among vascular complications. Insulin resistance (IR) is the common pathophysiological basis of T2DM and CVD, and assessing IR status is beneficial for the prevention and treatment of CVD. Currently, there are many methods for evaluating IR, including the glucose clamp technique (GCT) and the homeostatic model assessment of insulin resistance (HOMA-IR), which have unique advantages and remain unreplaceable in some aspects, but these traditional assessment methods also have certain limitations, such as relatively complex procedural steps, poor reproducibility, and high requirements for the subjects’ compliance, which make them unsuitable for large-scale, routine clinical assessment. In recent years, many novel methods for evaluating IR have emerged, which can be calculated through simple routine biochemical tests. To some extent, these new IR evaluation methods have made up for the shortcomings of traditional IR evaluation methods and have comparable evaluation efficacy to traditional indicators. This article mainly discusses the research progress of the correlation between IR and its novel evaluation indexes with cardiovascular diseases.
[1] | Lee, S., Park, S. and Choi, C.S. (2022) Insulin Resistance: From Mechanisms to Therapeutic Strategies. Diabetes & Metabolism Journal, 46, 15-37. https://doi.org/10.4093/dmj.2021.0280 |
[2] | Lewis, G.F., Carpentier, A.C., Pereira, S., Hahn, M. and Giacca, A. (2021) Direct and Indirect Control of Hepatic Glucose Production by Insulin. Cell Metabolism, 33, 709-720. https://doi.org/10.1016/j.cmet.2021.03.007 |
[3] | Nakamura, K., Miyoshi, T., Yoshida, M., Akagi, S., Saito, Y., Ejiri, K., et al. (2022) Pathophysiology and Treatment of Diabetic Cardiomyopathy and Heart Failure in Patients with Diabetes Mellitus. International Journal of Molecular Sciences, 23, Article 3587. https://doi.org/10.3390/ijms23073587 |
[4] | Adeva-Andany, M.M., Ameneiros-Rodríguez, E., Fernández-Fernández, C., Domínguez-Montero, A. and Funcasta-Calderón, R. (2019) Insulin Resistance Is Associated with Subclinical Vascular Disease in Humans. World Journal of Diabetes, 10, 63-77. https://doi.org/10.4239/wjd.v10.i2.63 |
[5] | Park, S.Y., Gautier, J. and Chon, S. (2021) Assessment of Insulin Secretion and Insulin Resistance in Human. Diabetes & Metabolism Journal, 45, 641-654. https://doi.org/10.4093/dmj.2021.0220 |
[6] | Ntyintyane, L., Panz, V., Raal, F. and Gill, G. (2010) Comparison between Surrogate Indices of Insulin Sensitivity and Resistance, and the Hyperinsulinaemic Euglycaemic Glucose Clamp in Urban South African Blacks with and without Coronary Artery Disease. Diabetes and Vascular Disease Research, 7, 151-157. https://doi.org/10.1177/1479164109360271 |
[7] | Simental-Mendía, L.E., Rodríguez-Morán, M. and Guerrero-Romero, F. (2008) The Product of Fasting Glucose and Triglycerides as Surrogate for Identifying Insulin Resistance in Apparently Healthy Subjects. Metabolic Syndrome and Related Disorders, 6, 299-304. https://doi.org/10.1089/met.2008.0034 |
[8] | Selvi, N.M.K., Nandhini, S., Sakthivadivel, V., Lokesh, S., Srinivasan, A.R. and Sumathi, S. (2021) Association of Triglyceride–glucose Index (TyG Index) with Hba1c and Insulin Resistance in Type 2 Diabetes Mellitus. Maedica—A Journal of Clinical Medicine, 16, 375-384. https://doi.org/10.26574/maedica.2021.16.3.375 |
[9] | Locateli, J.C., Lopes, W.A., Simões, C.F., de Oliveira, G.H., Oltramari, K., Bim, R.H., et al. (2019) Triglyceride/Glucose Index Is a Reliable Alternative Marker for Insulin Resistance in South American Overweight and Obese Children and Adolescents. Journal of Pediatric Endocrinology and Metabolism, 32, 1163-1170. https://doi.org/10.1515/jpem-2019-0037 |
[10] | Wang, Y., Yang, W. and Jiang, X. (2021) Association between Triglyceride-Glucose Index and Hypertension: A Meta-Analysis. Frontiers in Cardiovascular Medicine, 8, Article 644035. https://doi.org/10.3389/fcvm.2021.644035 |
[11] | Toro-Huamanchumo, C.J., Urrunaga-Pastor, D., Guarnizo-Poma, M., Lazaro-Alcantara, H., Paico-Palacios, S., Pantoja-Torres, B., et al. (2019) Triglycerides and Glucose Index as an Insulin Resistance Marker in a Sample of Healthy Adults. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 13, 272-277. https://doi.org/10.1016/j.dsx.2018.09.010 |
[12] | 刘少博, 从祥丰, 徐婷玲, 周脉耕, 王文绢, 马吉祥, 陈波, 李剑虹. 中国8省市成人血脂与糖尿病前期及糖尿病发病关系的前瞻性队列研究[J]. 中国健康教育, 2020, 36(5): 392-396. |
[13] | Fiorentino, T.V., Succurro, E., Marini, M.A., Pedace, E., Andreozzi, F., Perticone, M., et al. (2020) HDL Cholesterol Is an Independent Predictor of β-Cell Function Decline and Incident Type 2 Diabetes: A Longitudinal Study. Diabetes/Metabolism Research and Reviews, 36, e3289. https://doi.org/10.1002/dmrr.3289 |
[14] | Zhou, Y., Yang, G., Qu, C., Chen, J., Qian, Y., Yuan, L., et al. (2022) Predictive Performance of Lipid Parameters in Identifying Undiagnosed Diabetes and Prediabetes: A Cross-Sectional Study in Eastern China. BMC Endocrine Disorders, 22, Article No. 76. https://doi.org/10.1186/s12902-022-00984-x |
[15] | Giannini, C., Santoro, N., Caprio, S., Kim, G., Lartaud, D., Shaw, M., et al. (2011) The Triglyceride-to-HDL Cholesterol Ratio. Diabetes Care, 34, 1869-1874. https://doi.org/10.2337/dc10-2234 |
[16] | Bello-Chavolla, O.Y., Almeda-Valdes, P., Gomez-Velasco, D., Viveros-Ruiz, T., Cruz-Bautista, I., Romo-Romo, A., et al. (2018) METS-IR, a Novel Score to Evaluate Insulin Sensitivity, Is Predictive of Visceral Adiposity and Incident Type 2 Diabetes. European Journal of Endocrinology, 178, 533-544. https://doi.org/10.1530/eje-17-0883 |
[17] | Wang, W., Hu, M., Liu, H., Zhang, X., Li, H., Zhou, F., et al. (2021) Global Burden of Disease Study 2019 Suggests That Metabolic Risk Factors Are the Leading Drivers of the Burden of Ischemic Heart Disease. Cell Metabolism, 33, 1943-1956.e2. https://doi.org/10.1016/j.cmet.2021.08.005 |
[18] | Liu, X.Z., Fan, J. and Pan, S.J. (2019) METS-IR, a Novel Simple Insulin Resistance Indexes, Is Associated with Hypertension in Normal-Weight Chinese Adults. The Journal of Clinical Hypertension, 21, 1075-1081. https://doi.org/10.1111/jch.13591 |
[19] | Cai, X., Gao, J., Hu, J., Wen, W., Zhu, Q., Wang, M., et al. (2022) Dose-Response Associations of Metabolic Score for Insulin Resistance Index with Nonalcoholic Fatty Liver Disease among a Nonobese Chinese Population: Retrospective Evidence from a Population-Based Cohort Study. Disease Markers, 2022, 1-10. https://doi.org/10.1155/2022/4930355 |
[20] | Han, K., Gu, J., Wang, Z., Liu, J., Zou, S., Yang, C., et al. (2022) Association between METS-IR and Prehypertension or Hypertension among Normoglycemia Subjects in Japan: A Retrospective Study. Frontiers in Endocrinology, 13, Article 851338. https://doi.org/10.3389/fendo.2022.851338 |
[21] | Fan, J., Gao, S.T., Wang, L.J., Qian, Z.L., Zhou, Z.Q. and Liu, X.Z. (2019) Association of Three Simple Insulin Resistance Indexes with Prehypertension in Normoglycemic Subjects. Metabolic Syndrome and Related Disorders, 17, 374-379. https://doi.org/10.1089/met.2019.0029 |
[22] | Nurdiantami, Y., Watanabe, K., Tanaka, E., Pradono, J. and Anme, T. (2018) Association of General and Central Obesity with Hypertension. Clinical Nutrition, 37, 1259-1263. https://doi.org/10.1016/j.clnu.2017.05.012 |
[23] | 李婧, 李小凤, 余湘尤, 刘玲娇. 胰岛素抵抗代谢评分与高血压的相关性研究[J]. 重庆医学, 2023, 52(15): 2310-2314. |
[24] | Khoo, J., Low, S., Irwan, B., Tang, J., Sum, C.F., Subramaniam, T., et al. (2023) The Role of Triglyceride-Glucose Index in the Prediction of the Development of Hypertension: Findings from a Community Cohort in Singapore. Journal of the ASEAN Federation of Endocrine Societies, 38, 62-67. https://doi.org/10.15605/jafes.038.01.09 |
[25] | Saotome, M., Ikoma, T., Hasan, P. and Maekawa, Y. (2019) Cardiac Insulin Resistance in Heart Failure: The Role of Mitochondrial Dynamics. International Journal of Molecular Sciences, 20, Article 3552. https://doi.org/10.3390/ijms20143552 |
[26] | Velez, M., Kohli, S. and Sabbah, H.N. (2013) Animal Models of Insulin Resistance and Heart Failure. Heart Failure Reviews, 19, 1-13. https://doi.org/10.1007/s10741-013-9387-6 |
[27] | Gudenkauf, B., Shaya, G., Mukherjee, M., Michos, E.D., Madrazo, J., Mathews, L., et al. (2024) Insulin Resistance Is Associated with Subclinical Myocardial Dysfunction and Reduced Functional Capacity in Heart Failure with Preserved Ejection Fraction. Journal of Cardiology, 83, 100-104. https://doi.org/10.1016/j.jjcc.2023.06.008 |
[28] | 阴秋果, 秦欣童, 张议丹, 姜鹏, 郭平, 贾兴泰, 简立国. 胰岛素抵抗代谢评分与慢性心力衰竭患者不良预后的相关性研究[J]. 中国全科医学, 2024, 27(18): 2179-2185. |
[29] | 陈艳艳, 付建芳, 张颖, 等. 新型简化胰岛素抵抗评价指标对T2DM患者左心室亚临床收缩功能受损的预测价值[J]. 解放军医学杂志, 2024, 49(2): 137-143. |
[30] | Ahn, H., Han, K., Choi, E., Jung, J., Kwon, S., Lee, S., et al. (2021) Cumulative Burden of Metabolic Syndrome and Its Components on the Risk of Atrial Fibrillation: A Nationwide Population-Based Study. Cardiovascular Diabetology, 20, Article No. 20. https://doi.org/10.1186/s12933-021-01215-8 |
[31] | Latini, R., Staszewsky, L., Sun, J., Bethel, M.A., Disertori, M., Haffner, S.M., et al. (2013) Incidence of Atrial Fibrillation in a Population with Impaired Glucose Tolerance: The Contribution of Glucose Metabolism and Other Risk Factors. a Post Hoc Analysis of the Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research Trial. American Heart Journal, 166, 935-940.e1. https://doi.org/10.1016/j.ahj.2013.08.012 |
[32] | Lee, Y., Cha, S.J., Park, J., Shin, J., Lim, Y., Park, H., et al. (2020) Association between Insulin Resistance and Risk of Atrial Fibrillation in Non-Diabetics. European Journal of Preventive Cardiology, 27, 1934-1941. https://doi.org/10.1177/2047487320908706 |
[33] | Hijioka, N., Kamioka, M., Matsumoto, Y., Nodera, M., Yamada, S., Kaneshiro, T., et al. (2019) Clinical Impact of Insulin Resistance on Pulmonary Vein Isolation Outcome in Patients with Paroxysmal Atrial Fibrillation. Journal of Cardiovascular Electrophysiology, 30, 479-486. https://doi.org/10.1111/jce.13827 |
[34] | Song, J., Xia, X., Lu, Y., Wan, J., Chen, H. and Yin, J. (2022) Relationship among Insulin Therapy, Insulin Resistance, and Severe Coronary Artery Disease in Type 2 Diabetes Mellitus. Journal of Interventional Cardiology, 2022, 1-6. https://doi.org/10.1155/2022/2450024 |
[35] | Skals, R., Krogager, M.L., Appel, E.V.R., Schnurr, T.M., Have, C.T., Gislason, G., et al. (2021) Insulin Resistance Genetic Risk Score and Burden of Coronary Artery Disease in Patients Referred for Coronary Angiography. PLOS ONE, 16, e0252855. https://doi.org/10.1371/journal.pone.0252855 |
[36] | Gast, K.B., Tjeerdema, N., Stijnen, T., Smit, J.W.A. and Dekkers, O.M. (2012) Insulin Resistance and Risk of Incident Cardiovascular Events in Adults without Diabetes: Meta-Analysis. PLOS ONE, 7, e52036. https://doi.org/10.1371/journal.pone.0052036 |
[37] | Wu, Z., Cui, H., Li, W., Zhang, Y., Liu, L., Liu, Z., et al. (2022) Comparison of Three Non-Insulin-Based Insulin Resistance Indexes in Predicting the Presence and Severity of Coronary Artery Disease. Frontiers in Cardiovascular Medicine, 9, Article 918359. https://doi.org/10.3389/fcvm.2022.918359 |
[38] | 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. https://doi.org/10.1186/s12933-022-01523-7 |
[39] | 王华, 陆玮新, 刘凤静, 冯波. 糖耐量正常的冠心病患者胰岛素抵抗与冠脉病变程度的关系[J]. 同济大学学报(医学版), 2011, 32(6): 44-47. |
[40] | 朱蔚, 丁美萍, 王浩初, 彭晓慧. 糖调节受损与脑梗死患者颈动脉粥样硬化不稳定斑块的相关性研究[J]. 中国老年学杂志, 2008(20): 2015-2017. |