Pediatric rheumatology

S100 proteins as potential predictive biomarkers of abatacept response in polyarticular juvenile idiopathic arthritis

Arthritis Res TherPublished Secondary analysis of a phase 3 trial

An erratum to this article was published (Arthritis Res Ther, 31 Aug 2024 ↗)

Authors' conclusion

Lower baseline levels of S100A8/9 and S100A12 proteins predicted better response to abatacept treatment than higher levels and may serve as early predictive biomarkers in pJIA.

Study context

Population
Patients with active pJIA receiving subcutaneous abatacept158 with biomarker samples
Participants
219 patients
Comparison
Lower vs higher baseline S100A8/9 and S100A12 levels
Primary endpoint
Association between baseline biomarker levels and JIA-ACR responses or baseline disease activity (JADAS27-CRP)
Methodological detailsexploratory analysis
  • Exploratory analysis

Primary result

As reported in the abstract

Odds of response with lower baseline biomarker levels
Odds ratio (95% CI)
Lower S100A8/9JIA-ACR90, month 4
2.54(1.25–5.18)
Lower S100A8/9JIA-ACR100, month 4
3.72(1.48–9.37)
Lower S100A8/9JIA-ACR ID, month 4
4.25(2.03–8.92)
Lower S100A8/9JADAS27-CRP ID, month 4
2.34(1.02–5.39)
Lower S100A8/9JIA-ACR ID, month 16
3.01(1.57–5.78)
Lower S100A12JIA-ACR90
2.52(1.23–5.13)
Lower S100A12JIA-ACR100
3.68(1.46–9.28)
Lower S100A12JIA-ACR ID
3.66(1.76–7.61)
Lower S100A12JIA-ACR90, month 16
2.03(1.07–3.87)
Lower S100A12JIA-ACR100, month 16
2.14(1.10–4.17)
Lower S100A12JIA-ACR ID, month 16
4.22(2.15–8.29)

Further findings

Biomarker change, baseline to month 4, in JIA-ACR90/100/inactive disease (ID) responders

Decreases in S100A8/9 and S100A12 generally exceeded 50%

Original publication

S100 proteins as potential predictive biomarkers of abatacept response in polyarticular juvenile idiopathic arthritis. Arthritis Res Ther. Published 25 June 2024. doi:10.1186/s13075-024-03347-0

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