Metabolomic signature of pediatric diabetic ketoacidosis: key metabolites, pathways, and panels linked to clinical variables
2024

Metabolomic Signature of Pediatric Diabetic Ketoacidosis

Sample size: 34 publication Evidence: high

Author Information

Author(s): Spagnolo Paolo, Tweddell David, Cela Enis, Daley Mark, Clarson Cheril, Rupar C. Anthony, Stranges Saverio, Bravo Michael, Cepinskas Gediminas, Fraser Douglas D.

Primary Institution: London Health Sciences Centre

Hypothesis

Diabetic ketoacidosis (DKA) would exhibit a distinct metabolite profile compared to insulin-controlled type 1 diabetes (T1D) participants, matched by age and sex.

Conclusion

The study found significant metabolic disturbances in severe DKA, with distinct metabolite patterns associated with critical clinical indicators.

Supporting Evidence

  • 65 metabolites were found to differ significantly between the groups, with 28 increased and 37 decreased.
  • Metabolomics profiling demonstrated 100% accuracy in differentiating severe DKA from insulin-controlled states.
  • Groups of metabolites correlated with key clinical and biochemical variables, including pH, bicarbonate, glucose, HbA1c, and Glasgow Coma Scale scores.

Takeaway

This study looked at kids with diabetes and found that those with a serious condition called DKA have different chemicals in their blood compared to those who are stable, which can help doctors understand and treat them better.

Methodology

The study used plasma metabolomics to analyze 34 T1D participants, including 17 with severe DKA and 17 matched controls, using techniques like proton nuclear magnetic resonance and liquid chromatography/mass spectrometry.

Limitations

The study focused only on severe DKA patients, which may limit generalizability, and differences in T1D duration between cohorts could have influenced results.

Participant Demographics

Participants included 34 children with type 1 diabetes, 17 with severe DKA and 17 in insulin-controlled states, matched by age and sex.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/s10020-024-01046-9

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