P198 An inflammatory serum metabolomic signature predicts response to vedolizumab treatment in people with Crohn's Disease. (21st January 2022)

• Record Type: Journal Article
• Authors: Radford-Smith, D; Yates, A; Hageman, I; Joustra, V; Li Yim, A; Davids, M; Henneman, P; Hakvoort, T; D'Haens, G; de Jong, W; Anthony, D; Satsangi, J; Probert, F
• Is Part Of: Journal of Crohn's and colitis. Volume 16(2022)Supplement 1
• Page Start: i257
• Page End: i259
• Publication Date: 2022-01-21
• Subjects: Inflammatory bowel diseases -- Periodicals; 616.344005
• DOI: 10.1093/ecco-jcc/jjab232.325
• Languages: English
• ISSNs: 1873-9946

Abstract

Abstract: Background: While Vedolizumab (VDZ) is an established treatment for Crohn's disease (CD), primary non-response is well-recognised – there is an urgent clinical need for biomarkers that predict response, before initiation of treatment. Metabolomic profiling is a rapidly growing field in biomarker discovery and can distinguish between active and quiescent inflammatory bowel diseases. Here, we sought to identify a metabolic signature able to predict response to VDZ. Methods: Prospective serum samples from 62 CD patients before (baseline) and post-treatment follow-up (FU) (median 30 weeks, IQR 27–35) were analyzed. Patients were stratified into n=35 responders (R) and n=27 non-responders (NR) using endoscopic (≥50% reduction in SES-CD score), clinical (≥3 point drop in HBI or HBI ≤4, no systemic steroids), and/or biochemical assessments (≥50% reduction in C-reactive protein (CRP) and fecal calprotectin (fCal) or a basal CRP ≤5 g/mL and fecal calprotectin ≤250 µg/g). Untargeted metabolomic profiling was carried out using high-resolution nuclear magnetic resonance (NMR) spectroscopy. Significant differences in metabolite signatures were identified by orthogonal partial least squares discriminant analysis (OPLS-DA). Model accuracy (acc.) was assessed by external 10-fold cross-validation (CV), permutation testing, and validated on an independent test set. Results: We first demonstrate that bowel preparation required for endoscopy had a significant impact on the serum metabolite profile (CV acc. 77±4%, acc. n=10 independent test set 80%, KS test p-value < 0.001) and samples taken from patients at colonoscopy were excluded from further analysis. This reduced the cohort size; 19 baseline (12R/7NR) and 25 FU (16R/9NR). No significant difference in baseline fCal or CRP was observed between R and NR (t-test p-value >0.05). The metabolite profiles at baseline and FU were indistinguishable (KS test p-value > 0.05) suggesting the metabolome was stable. However, high (>300 µg/g) fCal values were associated with elevated N-acetyl-glycoprotein (GlycA), a known inflammatory marker, elevated serum glucose along with decreased lipoprotein and lactate levels (CV acc. 74±3%, acc. n=10 independent test set 100%, KS test p-value < 0.001). This same metabolite signature predicts response (CV acc. 61±5%, acc. n=6 independent test set 83%, KS test p-value < 0.001) with responders exhibiting increased metabolic inflammation at baseline. Conclusion: Here, we identify an inflammatory metabolic signature which predicts response to VDZ. Work to confirm these findings in a larger cohort and extend this method to investigate infliximab, adalimumab and ustekinumab treated patients, as part of the EPIC Pioneer study, is ongoing.