Summary of Study ST001908

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR001202. The data can be accessed directly via it's Project DOI: 10.21228/M8BD7S This work is supported by NIH grant, U2C- DK119886.


This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST001908
Study TitlePost Acute Myocardial Infarction Left Ventricular Remodeling Bio marker Analysis (PAMILA)
Study SummaryPatients with acute myocardial infarction (a condition classified under coronary heart disease, including STEMI and NSTEMI) are at high risk for recurrent ischemic events, but the pathways and factors which contribute to this elevated risk are incompletely understood. This study aims to identify biomarkers associated with acute myocardial infarction through various omics strategies. For the identified biomarkers, we aim to demonstrate prognostic value, and predict/stratify the risks of adverse cardiovascular events (e.g., stroke, heart failure, death).
National University of Singapore
Last NameLim
First NameSi Ying
AddressDepartment of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543
Submit Date2021-08-15
Num Groups2
Total Subjects100
Raw Data AvailableYes
Raw Data File Type(s)wiff
Analysis Type DetailLC-MS
Release Date2022-01-21
Release Version1
Si Ying Lim Si Ying Lim application/zip

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Project ID:PR001202
Project DOI:doi: 10.21228/M8BD7S
Project Title:Simultaneous metabolite and glycan extraction workflow for joint-omics analysis: a synergistic approach for novel insights into diseases
Project Summary:To synergistically process omics data in an integrative manner, analyte extractions for each omics type need to be done on the same set of clinical samples. Therefore, we introduce a simultaneous dual extraction method for generating both metabolomic and glycomic profiles from one sample with good extraction efficiency and reproducibility. As proof of the usefulness of the extraction and joint-omics workflow, we applied it on platelet samples obtained from a cohort study comprising 66 coronary heart disease (CHD) patients and 34 matched healthy community-dwelling controls. The metabolomics and glycomics datasets were subjected to block partial least square – discriminant analysis (block-PLS-DA) with canonical correlation analysis (CCA) for identifying relevant mechanistic interactions between metabolites and glycans. This joint-omics investigation revealed inter-modulative roles that carbohydrates and amino acids have in metabolic pathways and through intermediate protein dysregulations. It also suggested a protective role of the glyco-redox network in CHD, demonstrating proof-of-principle for a joint-omics analysis in providing new insights into disease mechanisms, as enabled by a simultaneous metabolite-glycan extraction workflow.
Institute:National University of Singapore
Last Name:Lim
First Name:Si Ying
Address:Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543