Integration of Proteomic and Lipidomic Analysis Reveals Potential Markers of Insulin Resistance in Young Children With Obesity
Authors' conclusion
Proteomic and lipidomic analysis can allow for the identification of potential new candidate biomarkers for IR. The ability of novel biomarkers to diagnose IR was better than traditional indicators.
Study context
- Population
- Prepubertal children with obesity; discovery cohort 30 with obesity and 20 leandiscovery cohort n = 50
- Participants
- 25 vs 25
- Comparison
- Obese-IR vs obese-NIR children
- obese-IRn = 25
- obese-NIRn = 25reference
- Outcome
- Proteins and lipids differing between obese-IR and obese-NIR (validation cohort)
Methodological detailsdiscovery and validation cohorts, Olink proteomics, untargeted lipidomics
- Discovery and validation cohorts
- Olink proteomics
- Untargeted lipidomics
Performance
As reported in the abstract
- Five lipids (sphingosine (d16:0), coenzyme (Q8), ceramides phosphate (d42:2), phosphatidylethanolamine (37:2e), phosphatidylcholine (18:1e_16:0)) changed significantly in obese-IR vs obese-NIR
- p < 0.05
- Discovery cohort: lipids significantly correlated with insulin resistance (IR)
- 15
- Discovery cohort: proteins significantly correlated with IR
- 10
Further findings
| Outcome | Values |
|---|---|
| Diagnostic accuracy for IR (AUROC) | IGFBP-1 AUC 0.89 · PON3 AUC 0.81 · PAI AUC 0.65 · phosphatidylcholine (18:1e_16:0) AUC 0.80 · coenzyme (Q8) AUC 0.73 |
Diagnostic accuracy for IR (area under the receiver operating characteristic (AUROC))
- IGFBP-1, PON3 and PAI diagnosed IR better than adiponectin and leptin
- AUROC of phosphatidylcholine (18:1e_16:0) and coenzyme (Q8) significantly higher than TG, total cholesterol, high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C)
Original publication
Integration of Proteomic and Lipidomic Analysis Reveals Potential Markers of Insulin Resistance in Young Children With Obesity. Pediatr Diabetes. Published 10 October 2025. doi:10.
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