Literature DB >> 24022065

Insulin resistance is associated with coronary plaque vulnerability: insight from optical coherence tomography analysis.

Tomokazu Iguchi1, Takao Hasegawa, Kenichiro Otsuka, Kenji Matsumoto, Takanori Yamazaki, Satoshi Nishimura, Shinji Nakata, Shoichi Ehara, Toru Kataoka, Kenei Shimada, Minoru Yoshiyama.   

Abstract

AIMS: Previous studies have reported that insulin resistance plays an important role in the progression of atherosclerosis. However, the relationship between insulin resistance and coronary plaque instability is not well established. The purpose of this study was to assess the relationship between insulin resistance and coronary plaque characteristics identified by optical coherence tomography (OCT). METHODS AND
RESULTS: This study enrolled 155 consecutive patients undergoing percutaneous coronary intervention. OCT image acquisitions were performed in the culprit lesions. Insulin resistance was identified using the homeostasis model assessment of insulin resistance (HOMA-IR). Subjects were divided into three tertiles according to the HOMA-IR values. Patients in the higher HOMA tertile had more frequent prevalence of lipid-rich plaques than those in the middle and lower tertiles (83 vs. 62 vs. 57%; P = 0.01). The thin-cap fibroatheroma (TCFA) prevalence rates among the higher (>2.5), middle (1.4-2.5), and lower HOMA-IR (<1.4) tertiles were 50, 29, and 26% (P = 0.02). The microvessel prevalence rates of the three tertiles were 54, 39, and 28% (P = 0.02). Furthermore, in the higher HOMA-IR group, the fibrous cap was significantly thinner compared with the other two tertiles (vs. lower HOMA-IR, P = 0.009; vs. middle HOMA-IR, P = 0.008). On multivariate analysis, acute coronary syndrome [odds ratio (OR): 17.98; 95% confidence interval (CI): 7.12-52.02; P < 0.0001] and HOMA-IR >2.50 (OR: 3.57; 95% CI: 1.42-9.55; P = 0.007) were independent predictors for the presence of TCFA.
CONCLUSION: This study suggests that insulin resistance might be associated with coronary plaque vulnerability.

Entities:  

Keywords:  Insulin resistance; Optical coherence tomography; Vulnerable plaque

Mesh:

Year:  2013        PMID: 24022065     DOI: 10.1093/ehjci/jet158

Source DB:  PubMed          Journal:  Eur Heart J Cardiovasc Imaging        ISSN: 2047-2404            Impact factor:   6.875


  20 in total

1.  Usefulness of pre- and post-stent optical frequency domain imaging findings in the prediction of periprocedural cardiac troponin elevation in patients with coronary artery disease.

Authors:  Kenichiro Otsuka; Kenei Shimada; Hirotoshi Ishikawa; Haruo Nakamura; Hisashi Katayama; Hisateru Takeda; Kohei Fujimoto; Noriaki Kasayuki; Minoru Yoshiyama
Journal:  Heart Vessels       Date:  2019-09-27       Impact factor: 2.037

Review 2.  Imaging of coronary atherosclerosis in various susceptible groups.

Authors:  Ravi Kiran Munnur; Nitesh Nerlekar; Dennis T L Wong
Journal:  Cardiovasc Diagn Ther       Date:  2016-08

Review 3.  Comparing the adverse clinical outcomes in patients with non-insulin treated type 2 diabetes mellitus and patients without type 2 diabetes mellitus following percutaneous coronary intervention: a systematic review and meta-analysis.

Authors:  Nuo Li; Ye-Gui Yang; Meng-Hua Chen
Journal:  BMC Cardiovasc Disord       Date:  2016-11-25       Impact factor: 2.298

4.  Possible increase in insulin resistance and concealed glucose-coupled potassium-lowering mechanisms during acute coronary syndrome documented by covariance structure analysis.

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Journal:  PLoS One       Date:  2017-04-21       Impact factor: 3.240

5.  Intravascular Polarimetry for Tissue Characterization of Coronary Atherosclerosis.

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6.  Association between insulin resistance, hyperglycemia, and coronary artery disease according to the presence of diabetes.

Authors:  Young-Rak Cho; Soe Hee Ann; Ki-Bum Won; Gyung-Min Park; Yong-Giun Kim; Dong Hyun Yang; Joon-Won Kang; Tae-Hwan Lim; Hong-Kyu Kim; Jaewon Choe; Seung-Whan Lee; Young-Hak Kim; Shin-Jae Kim; Sang-Gon Lee
Journal:  Sci Rep       Date:  2019-09-02       Impact factor: 4.379

Review 7.  Phenotyping the Prediabetic Population-A Closer Look at Intermediate Glucose Status and Cardiovascular Disease.

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Journal:  Int J Mol Sci       Date:  2021-06-25       Impact factor: 5.923

Review 8.  Adverse cardiovascular outcomes between insulin-treated and non-insulin treated diabetic patients after percutaneous coronary intervention: a systematic review and meta-analysis.

Authors:  Pravesh Kumar Bundhun; Nuo Li; Meng-Hua Chen
Journal:  Cardiovasc Diabetol       Date:  2015-10-07       Impact factor: 9.951

9.  Circulating plasma microRNA-126, microRNA-145, and microRNA-155 and their association with atherosclerotic plaque characteristics.

Authors:  Evija Knoka; Karlis Trusinskis; Mairita Mazule; Ieva Briede; William Crawford; Sanda Jegere; Indulis Kumsars; Inga Narbute; Dace Sondore; Aivars Lejnieks; Andrejs Erglis
Journal:  J Clin Transl Res       Date:  2020-01-13

10.  Predictive scores for identifying patients with type 2 diabetes mellitus at risk of acute myocardial infarction and sudden cardiac death.

Authors:  Sharen Lee; Jiandong Zhou; Cosmos Liutao Guo; Wing Tak Wong; Tong Liu; Ian Chi Kei Wong; Kamalan Jeevaratnam; Qingpeng Zhang; Gary Tse
Journal:  Endocrinol Diabetes Metab       Date:  2021-02-19
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