Since
the introduction of metabolomics in late 1990s, researchers have been looking
for the holy grail of cardiovascular diseases using this approach. However,
despite several reports showing metabolomics markers successfully identifying coronaryartery disease (CAD), there is still lack of consensus on
the true metabolomics signature of CAD.
Previous
research has identified several metabolites related to gut microbiome,
fatty acid metabolism, inflammation, steroid metabolism, sphingolipids,
and phospholipids as biomarkers of CAD. Many of these biomarkers were either
not validated or could not be replicated in other cohorts. Most of these
studies were also done on collected samples obtained several years ago in
dissimilar cohorts. There is therefore an inherent bias in using them either as
a derivative or validation cohort. Limited participants or samples in each
cohort also sometimes prohibit dividing a cohort into derivative and validation
sub cohorts for identifying the true metabolomics signature of CAD.
Furthermore, it also remains unclear whether the identified metabolite associated
with CAD is causal or just a bystander.(Read more)
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