ABSTRACT
Polymorphisms (single-nucleotide polymorphism (SNP)) in the interleukin-7 receptor-α (IL-7Rα)/IL-7 pathway are associated with an increased risk to develop multiple sclerosis (MS). The rs6897932 SNP in the IL-7Rα leads to increased soluble IL-7Rα production. Given the functional interaction between sIL-7Rα, membrane-bound IL-7Rα and IL-7, we assessed IL-7, mIL-7Rα and sIL-7Rα levels in MS patients and healthy controls (HCs). One-hundred and twenty eight MS patients had significantly lower sIL-7Rα levels compared with 73 HCs. The levels of sIL-7Rα increased dose-dependent upon rs6897932 [C] risk allele carriership in both HCs and MS. Next, we hypothesized that lower sIL-7Rα could result in a higher mIL-7Rα to soluble IL-7Rα ratio. Indeed, 52 MS patients had significantly increased mIL-7Rα to sIL-7Rα ratio for both CD4 and CD8 T cells compared with 44 HCs. Given the supposed role of IL-7 in autoimmunity, we determined whether sIL-7Rα influences IL-7 levels. IL-7 levels were significantly decreased in 40 MS patients compared with 40 HCs. In conclusion, MS patients had lower free IL-7 and a higher membrane to soluble IL-7Rα ratio. The soluble IL-7Rα levels correlate with the rs6897932 [C] risk allele carriership. The skew at the IL-7 and IL-7Rα level may influence responsiveness of IL-7Rα(+) cells.
Subject(s)
Interleukin-7/metabolism , Multiple Sclerosis/genetics , Receptors, Interleukin-7/genetics , Adult , CD4-Positive T-Lymphocytes/metabolism , CD8-Positive T-Lymphocytes/metabolism , Case-Control Studies , Female , Heterozygote , Humans , Interleukin-7/blood , Male , Polymorphism, Single Nucleotide , Receptors, Interleukin-7/blood , Receptors, Interleukin-7/metabolism , SolubilityABSTRACT
BACKGROUND: Current MRI criteria can help predict a second attack after a clinically isolated syndrome (CIS). Given the known association between corpus callosum lesions (CC) and multiple sclerosis (MS), such lesions on MRI could provide additional predictive information. This study assessed whether the presence of CC lesion on MRI could, next to the modified Barkhof criteria, further enhance prediction of conversion from CIS to MS. METHODS: Follow-up study of 158 patients with CIS who underwent MRI after CIS was performed. MRI were scored for the Barkhof criteria and CC lesion. Patients were classified as having MS according to Poser criteria. Cox regression models were used for the time to conversion from CIS to MS. RESULTS: The Barkhof criteria and CC lesion were strongly associated with conversion to MS with hazard ratios (HR), respectively, of 2.6 (95% confidence interval [CI] 1.5-4.3) and 2.7 (95% CI 1.6-4.5). The HRs of CC lesion adjusted for the Barkhof criteria and the Barkhof criteria adjusted for CC lesion were similar (HRs 1.8, not significant). The combined prediction of the Barkhof criteria and CC lesion was 3.3 (95% CI 1.9-5.7). Patients not fulfilling the Barkhof criteria had a fourfold increased risk of MS (HR 3.8, 95% CI 1.5-9.3) when they had a lesion in the CC. CONCLUSIONS: Corpus callosum (CC) lesion and the Barkhof criteria both predicted conversion to multiple sclerosis (MS). When both variables were combined, the association was stronger. The assessment of CC lesion may be a useful additional tool for predicting conversion to MS in patients with clinically isolated syndrome.
