Urinary metabolomics provide insights into coronary artery disease in individuals with type 1 diabetes.

We identified highly significant correlation differences between incident CAD cases and controls ( p < 5 × 10 –5 ); eGFR correlated more strongly with 3-hydroxyisobutyrate ( r case-to-control = 0.29), citrate ( r case-to-control = 0.42), and glycine ( r case-to-control = 0.35), while 4-deoxyerythronic acid correlated less strongly with triglycerides ( r case-to-control = −0.35), and hypoxanthine with creatinine ( r case-to-control = −0.30) in individuals with incident CAD.

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The case-to-control correlation difference network includes nominally significant links ( p < 0.05), whenever correlation was significant in cases and/or controls ( p < 2 × 10 –5 ).

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