Literature DB >> 32538096

Metabolomics Study Revealing the Potential Risk and Predictive Value of Fragmented QRS for Acute Myocardial Infarction.

Jiankang Li1, Wenting Duan2, Lin Wang3, Yiqing Lu2, Zhaozhao Shi2, Tingli Lu4.   

Abstract

Patients with nonobstructive coronary artery disease (NOCAD) have high risk associated with acute myocardial infarction (AMI), and fragmented QRS (fQRS) has a predictive value of AMI after percutaneous coronary intervention (PCI). A cohort of 254 participants were recruited including 136 NOCAD and 118 AMI patients from Xi'an No. 1 Hospital. Comprehensive metabolomics was performed by UPLC-Q/TOF-MS with multivariate statistical analyses. Hazard ratios were measured to discriminate the prognostic in AMI after PCI between differential metabolites and fQRS. OPLS-DA separated metabolites from NOCAD and AMI in serum. A total of 23 differential metabolites were identified between NOCAD and AMI. In addition, four differential metabolites, namely, acetylglycine, threoninyl-glycine, glutarylglycine, and nonanoylcarnitine, were identified between fQRS and non-fQRS in AMI. The hazard ratios demonstrate that the metabolites were associated with the risk of cardiac death, recurrent angina, readmissions, and major adverse cardiovascular events, which may clarify the mechanism of fQRS as a predictor in the prognostic of AMI after PCI. This study identified novel differential metabolites to distinguish the difference from NOCAD to AMI and clarify the mechanism of fQRS in prognostic of AMI after PCI, which may provide novel insights into potential risks and prognostic of AMI.

Entities:  

Keywords:  AMI; NOCAD; fragmented QRS; metabolomics; prognostic

Mesh:

Year:  2020        PMID: 32538096     DOI: 10.1021/acs.jproteome.0c00247

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  5 in total

1.  Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS.

Authors:  Yufei Zhou; Chen Zhou; Gang Luo; Wei Ren; Li Dong; Junjie Liang; Linshen Mao; Mengnan Liu; Yanli Dong; Pan Liang; Sijin Yang
Journal:  Comput Math Methods Med       Date:  2022-05-16       Impact factor: 2.809

2.  Improved Discrimination of Disease States Using Proteomics Data with the Updated Aristotle Classifier.

Authors:  David Hua; Heather Desaire
Journal:  J Proteome Res       Date:  2021-04-28       Impact factor: 4.466

3.  Bibliometric and Visual Analysis on Metabolomics in Coronary Artery Disease Research.

Authors:  Ning Yu; Ruirui Wang; Baocheng Liu; Lei Zhang
Journal:  Front Cardiovasc Med       Date:  2022-03-25

4.  Engineering of injectable hydrogels associate with Adipose-Derived stem cells delivery for anti-cardiac hypertrophy agents.

Authors:  Guangyu Long; Quanhe Wang; Shaolin Li; Junzhong Tao; Boyan Li; Xiangxiang Zhang; Xi Zhao
Journal:  Drug Deliv       Date:  2021-12       Impact factor: 6.819

Review 5.  Metabolomics: A Scoping Review of Its Role as a Tool for Disease Biomarker Discovery in Selected Non-Communicable Diseases.

Authors:  Adewale Victor Aderemi; Ademola Olabode Ayeleso; Oluboade Oluokun Oyedapo; Emmanuel Mukwevho
Journal:  Metabolites       Date:  2021-06-25
  5 in total

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