No abstract

To date, data on effectiveness and safety of Adalimumab (ADA) biosimilars in inflammatory bowel diseases (IBDs) are lacking. Therefore, we aimed to verify the ability of ABP501 and SB5 to maintain the clinical and biochemical response induced by the ADA originator, after switching to them. We prospectively analyzed data collected from 55 patients with IBD who switched to ABP501, and 25 patients with IBD who switched to SB5, from ADA originator at four IBD Units between 2018 and 2020. In addition, we included an age and sex-matched control group (n = 38) who continued ADA originator for at least two years and who did not switch to a biosimilar drug. Clinical and biochemical data (C-Reactive Protein (CRP), fecal calprotectin (FC)), concomitant steroid and/or immunosuppressant therapy at the time of the switch and after six months were collected. At six months, in the ABP501 group, we did not observe statistically significant modifications in clinical activity of disease (p = 0.09) and FC values (p = 0.90). Some patients (n = 8) needed to add steroids at six months after switching (p = 0.01), however the need for optimization was not significant between the two timepoints (p = 0.70). Finally, 14.5% patients stopped therapy after six months. Similarly, in the SB5 group we observed a stability of clinical activity and FC values (p = 0.90 and p = 0.20), and a concomitant statistically significant decrease in CRP (p = 0.03). There were no differences in steroids/immunosuppressants need or optimizing biological therapy in this group. Finally, drug survival curves of patients who switched from originator to ABP501 and those who continued ADA originator were similar (p = 0.20). Overall, biosimilar drugs seem to be as effective and safe as the originator. Further larger and longer studies are mandatory to understand the clinical implications of these findings.

INTRODUCTION: There are no real-life studies comparing the efficacy and safety of the different antitumor necrosis factor (TNF)-α drugs available in patients with ulcerative colitis (UC) and Crohn's disease (CD). To verify the effectiveness and tolerability of different anti–TNF-α agents (infliximab [IFX] originator, biosimilar CTP13, and adalimumab [ADA]) in patients with moderate-to-severe CD and UC. METHODS: Retrospectively, patients with moderate-to-severe inflammatory bowel disease who completed induction with either ADA, IFX originator, or biosimilar from 2015 to 2017 were included. Patients were evaluated after induction at 30 and 52 weeks. We performed an intention-to-treat analysis to evaluate clinical response and remission, steroid-free clinical remission, and endoscopy response according to different time points. At every time point, the need for dose escalation and occurrence of adverse events have been reported. RESULTS: Eighty-nine patients with UC (31 ADA, 30 IFX originator, and 28 IFX biosimilar) and 90 patients with CD (30 for each drug groups) were enrolled. After induction at week 30 and 52, clinical response was obtained by the following: 84.3%, 86.5%, and 82% of UC and 93.3%, 88.9%, and 80% of CD. Clinical steroid-free remission rates were significantly higher in the CD group compared with the UC group at every time point (P < 0.05). At week 52, 31.1% of ADA, 16.7% of IFX originator, and 36.2% of biosimilar patients needed treatment optimization. At week 52, 13 patients had suspended therapy because of severe adverse events, including 3 cases of malignant disease. DISCUSSION: Anti–TNF-α treatment was more effective in patients with CD compared to patients with UC, independently of the drug used.

Ulcerative colitis (UC) is a complex immune-mediated disease in which the gut microbiota plays a central role, and may determine prognosis and disease progression. We aimed to assess whether a specific microbiota profile, as measured by a machine learning approach, can be associated with disease severity in patients with UC. In this prospective pilot study, consecutive patients with active or inactive UC and healthy controls (HCs) were enrolled. Stool samples were collected for fecal microbiota assessment analysis by 16S rRNA gene sequencing approach. A machine learning approach was used to predict the groups’ separation. Thirty-six HCs and forty-six patients with UC (20 active and 26 inactive) were enrolled. Alpha diversity was significantly different between the three groups (Shannon index: p-values: active UC vs HCs = 0.0005; active UC vs inactive UC = 0.0273; HCs vs inactive UC = 0.0260). In particular, patients with active UC showed the lowest values, followed by patients with inactive UC, and HCs. At species level, we found high levels of Bifidobacterium adolescentis and Haemophilus parainfluenzae in inactive UC and active UC, respectively. A specific microbiota profile was found for each group and was confirmed with sparse partial least squares discriminant analysis, a machine learning-supervised approach. The latter allowed us to observe a perfect class prediction and group separation using the complete information (full Operational Taxonomic Unit table), with a minimal loss in performance when using only 5% of features. A machine learning approach to 16S rRNA data identifies a bacterial signature characterizing different degrees of disease activity in UC. Follow-up studies will clarify whether such microbiota profiling are useful for diagnosis and management.

Background: Head-to-head comparison studies evaluating the effectiveness and tolerability of anti-tumor necrosis factor (anti-TNF) drugs in inflammatory bowel disease patients are lacking. Aim: To compare the effectiveness and tolerability of anti-TNF-α drugs used in clinical practice in a cohort of patients with moderate-to-severe ulcerative colitis (UC). Methods: Retrospectively, 122 UC patients treated with infliximab (IFX) originator and biosimilar, adalimumab (ADA), and golimumab (GOL) were included. We performed an ITT analysis to evaluate clinical response and remission, steroid-free clinical remission, and endoscopy response according to the different time points of the follow-up. Baseline and post indErledigt ((Please, could you write "post induction" and remove "postinduction"?))uction predictor factors of these outcomes were evaluated using multivariate logistic regression models. Moreover, a propensity score-based weighting analysis was performed. Data were analyzed using R and STATA11 software. Results: The overall clinical response was 77% after induction, 81.4% at 30 weeks, and 76.9% at 52 weeks, while the steroid-free clinical remission was 39.7, 46, and 54.6%, respectively. After induction, a higher rate of treatment failure was observed in the GOL group. At the end of follow-up, lower rates of steroid-free clinical remission and clinical response were obtained by GOL. At week 52, endoscopic response was achieved by 46.5% of the population. Conclusions: Among the different anti-TNF treatments, moderate-to-severe UC seems to respond better to IFX and ADA, whereas GOL seems to be less effective, despite a similar good safety profile.