Insights into Therapeutic Response Prediction for Ustekinumab in Ulcerative Colitis Using an Ensemble Bioinformatics Approach.

INTRODUCTION: Optimizing treatment with biological agents is an ideal goal for patients with ulcerative colitis (UC). Recent data suggest that mucosal inflammation patterns and serum cytokine profiles differ between patients who respond and those who do not. Ustekinumab, a monoclonal antibody targeting the p40 subunit of interleukin (IL)-12 and IL-23, has shown promise, but predicting treatment response remains a challenge. We aimed to identify prognostic markers of response to ustekinumab in patients with active UC, utilizing information from their mucosal transcriptome. METHODS: We performed a prospective observational study of 36 UC patients initiating treatment with ustekinumab. Colonic mucosal biopsies were obtained before treatment initiation for a gene expression analysis using a microarray panel of 84 inflammatory genes. A differential gene expression analysis (DGEA), correlation analysis, and network centrality analysis on co-expression networks were performed to identify potential biomarkers. Additionally, machine learning (ML) models were employed to predict treatment response based on gene expression data. RESULTS: Seven genes, including BCL6, CXCL5, and FASLG, were significantly upregulated, while IL23A and IL23R were downregulated in non-responders compared to responders. The co-expression analysis revealed distinct patterns between responders and non-responders, with key genes like BCL6 and CRP highlighted in responders and CCL11 and CCL22 in non-responders. The ML algorithms demonstrated a high predictive power, emphasizing the significance of the IL23R, IL23A, and BCL6 genes. CONCLUSIONS: Our study identifies potential biomarkers associated with ustekinumab response in UC patients, shedding light on its underlying mechanisms and variability in treatment outcomes. Integrating transcriptomic approaches, including gene expression analyses and ML, offers valuable insights for personalized treatment strategies and highlights avenues for further research to enhance therapeutic outcomes for patients with UC.

A Four-Probiotics Regimen Combined with A Standard Helicobacter pylori-Eradication Treatment Reduces Side Effects and Increases Eradication Rates.

Aim: To establish whether the addition of probiotics to a globally accepted Helicobacter pylori (H. pylori)-eradication scheme may reduce the rates of side effects and increase the eradication rates. Methods. Prospective, randomized, placebo-controlled trial of patients receiving eradication therapy for H. pylori in the eight participating centers. All patients received a 10-day proton pump inhibitor containing non-bismuth quadruple therapeutic regimen for H. pylori eradication (omeprazole 20 mg, amoxycillin 1 g, clarithromycin 500 mg, and metronidazole 500 mg all twice daily orally) and were randomized to receive either probiotics (group A) or placebo (group B). The probiotic used combined four probiotic strains, i.e., Lactobacillus Acidophilus, Lactiplantibacillus plantarum, Bifidobacterium lactis, and Saccharomyces boulardii. Results. Data were analyzed for 329 patients in group A and 335 patients in group B. Fifty six (17.0%) patients in group A and 170 (50.7%) patients in group B reported the occurrence of an H. pylori treatment-associated new symptom or the aggravation of a pre-existing symptom of any severity (p < 0.00001). H. pylori was successfully eradicated in 303 patients in group A (92.0%) and 291 patients in group B (86.8%), (p = 0.028). Conclusion: Adding probiotics to the 10-day concomitant non-bismuth quadruple H. pylori eradication regimen increases the eradication rate and decreases side effects.

Direct-acting antiviral treatment for chronic hepatitis C in people who use drugs in a real-world setting.

BACKGROUND: Direct-acting antivirals (DAAs) offer high cure rates in people who inject drugs (PWID) with hepatitis C virus (HCV) infection. There are concerns regarding lower response rates among PWID in real life. We evaluated the outcome of DAA therapy in PWID in a real-world setting and the factors that affect it. METHODS: We performed a retrospective analysis of 174 PWID with chronic hepatitis C who started DAAs in a Greek liver clinic in collaboration with an addiction program. Patients who did not return for reassessment were considered as lost to follow up (LTFU). A logistic regression model was used to assess factors associated with a sustained virological response 12 weeks after treatment completion (SVR12) and LTFU. RESULTS: Patients' mean age was 48±9.2 years and 91/174 (52.3%) were attending opioid substitution treatment programs. Overall, 144/174 (82.8%) patients completed therapy and presented for SVR12 testing, 8/174 (4.6%) did not complete treatment and 22/174 (12.6%) were LTFU. Overall SVR12 was 79.9% (139/174). For those with an available SVR12 test the response rate reached 96.5% (139/144). Regression analysis did not indicate any significant association between patient characteristics and SVR12. Age <45 years and genotype 3 were independent predictors of LTFU. Parallel use was found to have a trend towards LTFU. CONCLUSIONS: HCV treatment by hepatologists and addiction specialists is feasible, effective and safe in a real-world setting. However, as 12% of patients appear to be LTFU, more emphasis should be placed on interventions guaranteeing follow up for SVR testing and general care.