R. N. Eppinga, D. Kofink, R. Dullaart, G. Dalmeijer, E. Lipšic, D. V. van Veldhuisen, I. V. D. van der Horst, F. Asselbergs, P. van der Harst
{"title":"Effect of Metformin on Metabolites and Relation With Myocardial Infarct Size and Left Ventricular Ejection Fraction After Myocardial Infarction","authors":"R. N. Eppinga, D. Kofink, R. Dullaart, G. Dalmeijer, E. Lipšic, D. V. van Veldhuisen, I. V. D. van der Horst, F. Asselbergs, P. van der Harst","doi":"10.1161/CIRCGENETICS.116.001564","DOIUrl":null,"url":null,"abstract":"Background— Left ventricular ejection fraction (LVEF) and infarct size (ISZ) are key predictors of long-term survival after myocardial infarction (MI). However, little is known about the biochemical pathways driving LV dysfunction after MI. To identify novel biomarkers predicting post-MI LVEF and ISZ, we performed metabolic profiling in the GIPS-III randomized clinical trial (Glycometabolic Intervention as Adjunct to Primary Percutaneous Intervention in ST Elevation Myocardial Infarction). We also investigated the metabolic footprint of metformin, a drug associated with improved post-MI LV function in experimental studies. Methods and Results— Participants were patients with ST-segment–elevated MI who were randomly assigned to receive metformin or placebo for 4 months. Blood samples were obtained on admission, 24 hours post-MI, and 4 months post-MI. A total of 233 metabolite measures were quantified using nuclear magnetic resonance spectrometry. LVEF and ISZ were assessed 4 months post-MI. Twenty-four hours post-MI measurements of high-density lipoprotein (HDL) triglycerides (HDL-TG) predicted LVEF (&bgr;=1.90 [95% confidence interval (CI), 0.82 to 2.98]; P=6.4×10−4) and ISZ (&bgr;=−0.41 [95% CI, −0.60 to −0.21]; P=3.2×10−5). In addition, 24 hours post-MI measurements of medium HDL-TG (&bgr;=−0.40 [95% CI, −0.60 to −0.20]; P=6.4×2×10−5), small HDL-TG (&bgr;=−0.34 [95% CI, −0.53 to −0.14]; P=7.3×10−4), and the triglyceride content of very large HDL (&bgr;=−0.38 [95% CI, −0.58 to −0.18]; P=2.7×10−4) were associated with ISZ. After the 4-month treatment, the phospholipid content of very large HDL was lower in metformin than in placebo-treated patients (28.89% versus 38.79%; P=7.5×10−5); alanine levels were higher in the metformin group (0.46 versus 0.44 mmol/L; P=2.4×10−4). Conclusions— HDL triglyceride concentrations predict post-MI LVEF and ISZ. Metformin increases alanine levels and reduces the phospholipid content in very large HDL particles. Clinical Trial Registration— URL: https://clinicaltrials.gov/ct2/show/NCT01217307. Unique Identifier: NCT01217307.","PeriodicalId":48940,"journal":{"name":"Circulation-Cardiovascular Genetics","volume":"10 1","pages":"e001564"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1161/CIRCGENETICS.116.001564","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Circulation-Cardiovascular Genetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1161/CIRCGENETICS.116.001564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 16
Abstract
Background— Left ventricular ejection fraction (LVEF) and infarct size (ISZ) are key predictors of long-term survival after myocardial infarction (MI). However, little is known about the biochemical pathways driving LV dysfunction after MI. To identify novel biomarkers predicting post-MI LVEF and ISZ, we performed metabolic profiling in the GIPS-III randomized clinical trial (Glycometabolic Intervention as Adjunct to Primary Percutaneous Intervention in ST Elevation Myocardial Infarction). We also investigated the metabolic footprint of metformin, a drug associated with improved post-MI LV function in experimental studies. Methods and Results— Participants were patients with ST-segment–elevated MI who were randomly assigned to receive metformin or placebo for 4 months. Blood samples were obtained on admission, 24 hours post-MI, and 4 months post-MI. A total of 233 metabolite measures were quantified using nuclear magnetic resonance spectrometry. LVEF and ISZ were assessed 4 months post-MI. Twenty-four hours post-MI measurements of high-density lipoprotein (HDL) triglycerides (HDL-TG) predicted LVEF (&bgr;=1.90 [95% confidence interval (CI), 0.82 to 2.98]; P=6.4×10−4) and ISZ (&bgr;=−0.41 [95% CI, −0.60 to −0.21]; P=3.2×10−5). In addition, 24 hours post-MI measurements of medium HDL-TG (&bgr;=−0.40 [95% CI, −0.60 to −0.20]; P=6.4×2×10−5), small HDL-TG (&bgr;=−0.34 [95% CI, −0.53 to −0.14]; P=7.3×10−4), and the triglyceride content of very large HDL (&bgr;=−0.38 [95% CI, −0.58 to −0.18]; P=2.7×10−4) were associated with ISZ. After the 4-month treatment, the phospholipid content of very large HDL was lower in metformin than in placebo-treated patients (28.89% versus 38.79%; P=7.5×10−5); alanine levels were higher in the metformin group (0.46 versus 0.44 mmol/L; P=2.4×10−4). Conclusions— HDL triglyceride concentrations predict post-MI LVEF and ISZ. Metformin increases alanine levels and reduces the phospholipid content in very large HDL particles. Clinical Trial Registration— URL: https://clinicaltrials.gov/ct2/show/NCT01217307. Unique Identifier: NCT01217307.
期刊介绍:
Circulation: Genomic and Precision Medicine considers all types of original research articles, including studies conducted in human subjects, laboratory animals, in vitro, and in silico. Articles may include investigations of: clinical genetics as applied to the diagnosis and management of monogenic or oligogenic cardiovascular disorders; the molecular basis of complex cardiovascular disorders, including genome-wide association studies, exome and genome sequencing-based association studies, coding variant association studies, genetic linkage studies, epigenomics, transcriptomics, proteomics, metabolomics, and metagenomics; integration of electronic health record data or patient-generated data with any of the aforementioned approaches, including phenome-wide association studies, or with environmental or lifestyle factors; pharmacogenomics; regulation of gene expression; gene therapy and therapeutic genomic editing; systems biology approaches to the diagnosis and management of cardiovascular disorders; novel methods to perform any of the aforementioned studies; and novel applications of precision medicine. Above all, we seek studies with relevance to human cardiovascular biology and disease. Manuscripts are examined by the editorial staff and usually evaluated by expert reviewers assigned by the editors. Both clinical and basic articles will also be subject to statistical review, when appropriate. Provisional or final acceptance is based on originality, scientific content, and topical balance of the journal. Decisions are communicated by email, generally within six weeks. The editors will not discuss a decision about a manuscript over the phone. All rebuttals must be submitted in writing to the editorial office.