Abstract

Abstract Background Immune-mediated inflammatory diseases (IMID) are an emerging problem in Western world. Despite being traditionally considered nosologically distinct entities, two or more IMID can coexist within the same patient and their pathogenesis overlap to a certain extent. Two IMID, inflammatory bowel disease (IBD) and spondylarthritis (SpA), often associate, but their pathogenesis remains unknown and disease biomarkers are not fully characterized. This project aims to investigate pathogenic and predictor markers of response Methods A collaborative study, enrolling IMID patients (pts) starting a target therapy, was performed. We focused on 2 cohorts: IBD and IBD-SpA. At baseline, serum (to measure CRP, IL17A, TNFα, and TREM1), intestinal biopsy and stools were collected. Clinical response was assessed at 4 months. The exploratory outcome of this preliminary analysis was to investigate whether serum, immunohistochemical and microbiological markers correlate with each other and with response to therapy Results We enrolled 60 pts (36 IBD, 24 IBD-SpA): 61.7% were female, median age was 46 years (IQR 30-57.3). At 4 months, 52.8% and 41.7% of the IBD and IBD-SpA cohorts showed clinical response. A nearly significant correlation between increased intestinal CD68+ cell infiltrate and higher baseline CRP levels (R=0.52, p=0.06), and between increased CD21+ cell infiltrate and CRP drop at 4 months (R=0.47, p=0.09) was observed. Lower baseline TNFα levels correlated with CRP drop at 4 months (R=0.35, p=0.02); higher baseline TNFα levels correlated with a reduced intestinal infiltrate of CD20+ and CD21+ cells (R=0.67, p=0.04; R=0.69, p=0.04). In the IBD-SpA cohort, a trend towards higher mean TREM1 levels was observed in non-responders vs responders (389.0 pg/mL vs 276.4 pg/mL, p=0.09); ROC curve identified a cut-off of 361.0 pg/mL to predict nonresponse (sensitivity 66.6%, specificity 75.0%, p=0.09). IBD patients had a reduced α-diversity compared to healthy controls (HC) and SpA patients; IBD and SpA patients had an increased β-diversity compared to HC. IBD pts had increased Proteobacteria and decreased Bacteroidetes compared to HC. Agathobacteria, Bacteroides, Faecalibacteria and Prevotella genera were significantly decreased in IBD vs HC, whereas Streptococci and Escherichia-Shigella were significantly increased Conclusion Baseline TNFα may correlate with specific immune signatures of the intestinal infiltrate. Baseline TREM1 may help predicting response in the specific setting of concomitant IBD and SpA. Gut microbiome composition is altered in IBD pts compared to HC, comprising more pathogenic and fewer protective bacteria. Further analyses will be needed to confirm such observations and explore additional features and predictive biomarkers

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