Literature DB >> 24189501

Acute-phase glucose fluctuation is negatively correlated with myocardial salvage after acute myocardial infarction.

Ikuko Teraguchi1, Toshio Imanishi, Yuichi Ozaki, Takashi Tanimoto, Minoru Ueyama, Makoto Orii, Yasutsugu Shiono, Kunihiro Shimamura, Kohei Ishibashi, Takashi Yamano, Yasushi Ino, Tomoyuki Yamaguchi, Kumiko Hirata, Takashi Kubo, Tokio Sanke, Takashi Akasaka.   

Abstract

BACKGROUND: It remains unclear whether glycemic fluctuation immediately after acute myocardial infarction (AMI) can affect myocardial damage. This study investigated the impact of glucose fluctuation on myocardial salvage following successful recanalization of primary AMI. METHODS AND
RESULTS: A total of 36 consecutive patients with AMI were studied. Glycemic variability, as indicated by the mean amplitude of glycemic excursion (MAGE), was measured on a continuous glucose monitoring system. Three subsets (CD14(+)CD16(-), CD14(++)CD16(+) and CD14(+-)CD16(+)) were measured on flow cytometry 1, 2, 3, 4 and 5 days after AMI onset. A 2-h oral glucose test was performed in 23 patients who had no previous diagnosis of diabetes and/or glycated hemoglobin <6.5%, after the onset of AMI at 2 weeks. Plasma active glucagon-like peptide (GLP)-1 level was measured in each sample. The extent of myocardial salvage 7 days after AMI was evaluated on cardiovascular magnetic resonance imaging. MAGE and the peak CD14(+)CD16(-) monocyte level were significantly negatively correlated with myocardial salvage index (MSI). MAGE was significantly correlated with peak CD14(+)CD16(-) monocyte level. Of interest, plasma GLP-1 level was significantly positively correlated with MSI and significantly negatively correlated with MAGE.
CONCLUSIONS: Glucose fluctuations during the acute phase of AMI affect MSI, indicating that manipulation of glucose variability from peak to nadir might be a potential therapeutic target for salvaging ischemic damage.

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Year:  2013        PMID: 24189501     DOI: 10.1253/circj.cj-13-0723

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  10 in total

1.  Coronary Flow Reserve and Glycemic Variability in Patients with Coronary Artery Disease.

Authors:  Takeshi Nishi; Yuichi Saito; Hideki Kitahara; Tomoko Nishi; Yoshihide Fujimoto; Yoshio Kobayashi
Journal:  Intern Med       Date:  2020-11-02       Impact factor: 1.271

2.  Effects of sitagliptin as initial therapy in newly diagnosed elderly type 2 diabetics: A randomized controlled study.

Authors:  Xiaoyan Xiao; Xiaopei Cui; Jianbo Zhang; Zhenxia Han; Yu Xiao; Nan Chen; Baoying Li; Mei Cheng; Haiqing Gao; Kuanxiao Tang
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3.  Impact of CD14++CD16+ monocytes on plaque vulnerability in diabetic and non-diabetic patients with asymptomatic coronary artery disease: a cross-sectional study.

Authors:  Naofumi Yoshida; Hiroyuki Yamamoto; Toshiro Shinke; Hiromasa Otake; Masaru Kuroda; Daisuke Terashita; Hachidai Takahashi; Kazuhiko Sakaguchi; Yushi Hirota; Takuo Emoto; Hilman Zulkifli Amin; Taiji Mizoguchi; Tomohiro Hayashi; Naoto Sasaki; Tomoya Yamashita; Wataru Ogawa; Ken-Ichi Hirata
Journal:  Cardiovasc Diabetol       Date:  2017-08-08       Impact factor: 9.951

4.  Effects of the Mean Amplitude of Glycemic Excursions and Vascular Endothelial Dysfunction on Cardiovascular Events in Nondiabetic Patients With Coronary Artery Disease.

Authors:  Tomonori Akasaka; Daisuke Sueta; Noriaki Tabata; Seiji Takashio; Eiichiro Yamamoto; Yasuhiro Izumiya; Kenichi Tsujita; Sunao Kojima; Koichi Kaikita; Kunihiko Matsui; Seiji Hokimoto
Journal:  J Am Heart Assoc       Date:  2017-04-26       Impact factor: 5.501

5.  Glycemic variability is associated with myocardial damage in nondiabetic patients with ST-elevation myocardial infarction.

Authors:  Satoshi Oka; Juntaro Deyama; Ken Umetani; Tomoko Harama; Takuya Shimizu; Aritaka Makino; Keita Sano; Masahiko Nakamura
Journal:  Cardiovasc Endocrinol Metab       Date:  2018-05-16

6.  Overexpression of miR-146a Might Regulate Polarization Transitions of BV-2 Cells Induced by High Glucose and Glucose Fluctuations.

Authors:  Yinqiong Huang; Zhenling Liao; Xiahong Lin; Xiaohong Wu; Xiaoyu Chen; Xuefeng Bai; Yong Zhuang; Yingxia Yang; Jinying Zhang
Journal:  Front Endocrinol (Lausanne)       Date:  2019-10-22       Impact factor: 5.555

7.  Intervention by clinical pharmacists can improve blood glucose fluctuation in patients with diabetes and acute myocardial infarction: A propensity score-matched analysis.

Authors:  Fang-Hong Shi; Long Shen; Jiang Yue; Jing Ma; Zhi-Chun Gu; Hao Li; Hou-Wen Lin
Journal:  Pharmacol Res Perspect       Date:  2021-04

8.  Significance of day-to-day glucose variability in patients after acute coronary syndrome.

Authors:  Machiko Miyoshi; Hiroyasu Uzui; Tomohiro Shimizu; Takayoshi Aiki; Yuichiro Shiomi; Minoru Nodera; Hiroyuki Ikeda; Naoto Tama; Kanae Hasegawa; Tetsuji Morishita; Kentaro Ishida; Shinsuke Miyazaki; Hiroshi Tada
Journal:  BMC Cardiovasc Disord       Date:  2021-10-10       Impact factor: 2.298

9.  Glucose time series complexity as a predictor of type 2 diabetes.

Authors:  Carmen Rodríguez de Castro; Luis Vigil; Borja Vargas; Emilio García Delgado; Rafael García Carretero; Julián Ruiz-Galiana; Manuel Varela
Journal:  Diabetes Metab Res Rev       Date:  2016-06-30       Impact factor: 4.876

10.  Association between Changes in the Systolic Blood Pressure from Evening to the Next Morning and Night Glucose Variability in Heart Disease Patients.

Authors:  Tomohiro Shimizu; Hiroyasu Uzui; Yusuke Sato; Machiko Miyoshi; Yuichiro Shiomi; Kanae Hasegawa; Hiroyuki Ikeda; Naoto Tama; Yoshitomo Fukuoka; Tetsuji Morishita; Kentaro Ishida; Shinsuke Miyazaki; Hiroshi Tada
Journal:  Intern Med       Date:  2021-06-05       Impact factor: 1.271

  10 in total

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