Table 1.
Study phenotype criteria.
Fig 1.
Analytical process.
Table 2.
Medication use at the acute state (T0, enrollment) versus the quiescent state (follow-up) within and between groups.
Table 3.
Baseline subject characteristics.
Fig 2.
Radar plot of all identified metabolites that demonstrated a significant mean intra-subject temporal change between acute (T0, enrollment prior to cardiac catheterization) and quiescent state in thrombotic MI that is distinct from the pattern of change observed in non-thrombotic MI or stable CAD.
The black solid line represents change in stable CAD subjects, red illustrates change in thrombotic MI, and blue illustrates change in non-thrombotic MI. Values above indicate positive change and values below indicate negative change relative to change observed in stable CAD. The radar plot shows 65 metabolites.
Fig 3.
Radar plot of all identified metabolites that demonstrated a significant mean intra-subject temporal change between acute (T6, after cardiac catheterization) and quiescent state in thrombotic MI that is distinct from the pattern of change observed in non-thrombotic MI or stable CAD.
The black solid line represents change in stable CAD subjects, red illustrates change in thrombotic MI, and blue illustrates change in non-thrombotic MI. Values above indicate positive change and values below indicate negative change relative to change observed in stable CAD. The radar plot shows 79 metabolites.
Fig 4.
Partial Least Squares-Discriminant Analyses (PLS-DA) of acute over quiescent intra-subject fold changes.
Analyses were restricted to metabolites with significant mean intra-subject fold change in acute thrombotic MI that differed between groups at q<0.10. Loadings plots suggest the contributions of biochemical families of related metabolites to discriminating the study groups based on intra-subject fold change from quiescent to acute phase. (A) PLS-DA of enrollment (T0) over quiescent intra-subject fold changes. (B) PLS-DA of T6 (6 hours post enrollment) over quiescent intra-subject fold changes.
Table 4.
Seventeen metabolites included in the final Random Forest classifier.
Fig 5.
Dot plots illustrating subject level acute (enrollment, T0) over quiescent state fold change for metabolites that demonstrated intra-subject change in thrombotic MI that differed from non-thrombotic MI and sCAD controls at q<0.05.
Fig 6.
Dot plots illustrating subject level acute (post cardiac catheterization, T6) over quiescent state fold change for metabolites that demonstrated intra-subject change in thrombotic MI that differed from non-thrombotic MI and sCAD controls at q<0.05.
Table 5.
Metabolites specific to thrombotic MI evidenced by T0/Q intra subject fold change.
Metabolites with an ANOVA q < 0.05 (preserving the false discovery rate at < 5%), significant post-hoc comparisons between thrombotic MI and both control groups, and demonstrating significant change from quiescent to acute (q < 0.05) are deemed to be specific to thrombotic MI.
Table 6.
Metabolites specific to thrombotic MI evidenced by T6/Q intra-subject fold change.
Metabolites with an ANOVA q < 0.05 (preserving the false discovery rate at < 5%), significant post-hoc comparisons between thrombotic MI and both control groups, and demonstrating significant change from quiescent to acute (q < 0.05) are deemed to be specific to thrombotic MI.