Citations

Background & Aims: We examined treatment patterns and clinical outcomes in a contemporary cohort of children with newly diagnosed inflammatory bowel disease (IBD) in a large, commercially insured U.S. population. Methods: Using the OptumLabs® Data Warehouse, we created an inception cohort of physician-diagnosed IBD in children aged 6–17 years between 2007–23. We examined cumulative incidence of hospitalization, surgery, safety events, and medication use in patients with Crohn's disease (CD) and ulcerative colitis (UC), overall and stratified by diagnostic era, race and ethnicity, sex, and age at diagnosis. Results: Among 787 children with newly diagnosed CD (age at diagnosis, 13.4±2.9y; 57% male; 82% White, 5% Black, 7% Hispanic) followed over mean 4.6±3.0y, 5-year risk of IBD-related hospitalization and major surgery was 30% and 10%, respectively. In children diagnosed in 2019–23, 1-year cumulative use of corticosteroids and advanced therapy was 46% and 75%, respectively; advanced therapy use increased significantly over time (aHR, 3.43 [95% CI, 2.71–4.32] for 2019–23 vs. 2007–12), while corticosteroid use declined (0.67 [0.53–0.84]). Risk of IBD-related hospitalization was lower in children diagnosed between 2019–23 (0.65 [0.43–0.97]) compared with those diagnosed between 2007-12; surgical risk did not decline significantly, with confidence intervals compatible with a clinically meaningful reduction. Among 399 children with newly diagnosed UC (age at diagnosis, 14.0±3.0y; 53% male; 78% White, 5% Black, 7% Hispanic) followed over 4.5±3.0y, 5-year risk of IBD-related hospitalization and colectomy was 36% and 8%, respectively. Advanced therapy use increased significantly over time (4.46 [2.85–6.98] for 2019–23 vs. 2007–12), with no significant change in hospitalization or surgical risk across eras. No consistent racial and ethnic, age, or sex differences in advanced therapy use or clinical outcomes were identified in either CD or UC. Conclusions: In a contemporary cohort of commercially insured children with newly diagnosed IBD, early advanced therapy use has increased markedly over time. Surgical risk did not decline significantly in either disease; however, the study was not powered to exclude a clinically meaningful reduction, and these findings are hypothesis-generating rather than conclusive.

CD4 + effector T helper 1 (T H 1) cells drive inflammatory bowel disease (IBD). Here, we investigated how integrated signaling, metabolic, and epigenetic programs sustain their pathogenic persistence. We found that enforcing mitochondrial pyruvate metabolism with methyl pyruvate (MePyr) suppressed T H 1 cell effector function and induced the acquisition of a regulatory-like phenotype. MePyr suppressed the activity of glycogen synthase kinase 3β (GSK3β), promoting a metabolic shift from glycolysis toward oxidative phosphorylation (OXPHOS) and limiting the accumulation of intracellular acetyl-CoA. This metabolic reprogramming decreased histone H3 acetylation at genes encoding inflammatory cytokines, thereby decreasing T H 1 cell–associated gene expression. Restoration of inflammatory cytokine production by acetate supplementation or histone deacetylase inhibition established acetyl-CoA–dependent histone acetylation as a mechanistic link between metabolic flux and effector function. Conversely, the cytokine interleukin-21 enhanced T H 1 cell effector activity by promoting a GSK3β-dependent shift from OXPHOS to glycolysis. Single-cell transcriptomic analysis of Crohn’s disease tissue revealed enrichment of glycolytic gene programs in nonregulatory CD4 + T cells. Consistent with these findings, pharmacologic inhibition of GSK3β attenuated disease severity in a T cell–transfer mouse model of colitis. Together, these findings identify a GSK3β-dependent metabolic-epigenetic axis that sustains T H 1 cell pathogenicity and highlight GSK3β as a potential therapeutic target for IBD.

ABSTRACT Human intestinal diseases, including inflammatory bowel disease (IBD), are difficult to model because existing animal and in vitro systems do not capture the intestine’s integrated vascular, immune, and metabolic complexity. Here, we establish a custom normothermic machine perfusion platform that maintains surgically resected human intestinal tissue for up to 72 hours under near-physiological conditions. Discarded specimens from patients with nonmalignant intestinal diseases, including IBD and diverticulitis, were continuously perfused at 37°C with real-time hemodynamic and metabolic monitoring. Perfusion preserved tissue viability, mucosal architecture, epithelial integrity, oxygen consumption, metabolic activity, and vascular patency. Daily perfusate sampling enabled longitudinal profiling and experimental modulation of inflammatory mediators, revealing patient-specific immune states. This long-duration platform bridges reductionist in vitro models and clinical disease, enabling mechanistic studies of intestinal inflammation and future testing of personalized therapies in intact patient-derived tissue.

Abstract Inflammatory bowel disease (IBD) is a chronic immune-mediated disorder of the gastrointestinal tract whose genetic basis is only partly resolved because most risk variants identified by genome-wide association studies (GWAS) lie in non-coding regions, limiting direct gene assignment and biological interpretation 1,2 . Here we analysed whole-exome and whole-genome sequencing data from 86,213 IBD cases and 478,363 controls of European ancestry. We identified 68 IBD genes directly implicated by conditionally independent protein-coding associations across the allele frequency spectrum. Many newly implicated IBD genes are supported by orthogonal genomic or pleiotropic evidence, pointing to disease-related pathways and nominating targets with therapeutic relevance. We further identified allelic series and non-additive effects at key loci such as NOD2 and TYK2. These results show that large-scale sequencing can resolve disease genes and pathways that remain ambiguous from non-coding association alone, providing a more direct route from human genetics to biological insight and therapeutic hypotheses.

INTRODUCTION: Advanced therapies infrequently achieve complete fistula closure in patients with Crohn's disease (CD). The primary objective of the STOMP2 clinical trial was to determine whether the implantable autologous cell therapy AVB-114 is effective in inducing remission of persistent Crohn's perianal fistulas versus standard of care. METHODS: Eligible patients had a single perianal fistula tract and had failed previous treatment or had documented medication intolerance to biologic or conventional CD therapy. All enrolled subjects underwent surgical fistula optimization and adipose tissue biopsy collection (to manufacture AVB-114) followed by 1:1 randomization to either standard of care (repeat fistula optimization including seton replacement) or AVB-114 implantation. The primary end point was combined fistula remission at 36 weeks, defined as closure of the external opening, no drainage of fluid despite gentle finger compression, and no collections >2 cm in at least 2 of the 3 dimensions on MRI. RESULTS: Subjects at 14 US sites were equally randomized to SoC (N = 24) or AVB-114 (N = 24). Week 36 combined remission was 8.3% and 45.8% for subjects randomized to SoC and AVB-114, respectively (38% difference, 95% CI 11%–60%; P = 0.0078). At week 36, MRI revealed no subjects with collections >2 cm, radiological improvement (≥50% decrease in the Magnetic Resonance Novel Index for Fistula Imaging in Crohn's Disease (MAGNIFI-CD) score from baseline) in 1 SoC subject and 3 AVB-114 subjects, and radiological healing (complete resolution of T2-weighted hyperintensity in fistula tract) in 2 SoC subjects and 5 AVB-114 subjects. Through week 36, there were 40 and 56 treatment emergent adverse events for SoC and AVB-114, respectively. There were no serious treatment emergent adverse events in the AVB-114 group through week 36. DISCUSSION: A significantly higher proportion of patients treated with AVB-114 achieved combined remission vs SoC, and the treatment was well tolerated. These data support the safety and efficacy of AVB-114 in persistent Crohn's perianal fistulas.

INTRODUCTION: Clostridioides difficile infection (CDI) presents a significant challenge in patients with inflammatory bowel disease (IBD), with high recurrence rates and complications. Predicting recurrent CDI (rCDI) in patients with IBD is crucial for implementing targeted interventions to improve patient outcomes. This study aimed to develop and validate a predictive model (RecurCDI-IBD) using supervised machine learning to identify patients with IBD at high risk of developing rCDI. METHODS: Data were collected from adult patients with IBD diagnosed with CDI between 2013 and 2021. Inclusion criteria included adult patients with a confirmed diagnosis of CDI and a history of IBD. The Gradient Boosting Machine learning model (XGBoost) was used to train a binary classification model. Feature engineering included demographic data (age and sex), clinical data (IBD subtype, medication use, and comorbidities), and laboratory data. The primary outcome was the occurrence of rCDI within 60 days of the initial CDI episode. RESULTS: The RecurCDI-IBD model achieved an accuracy of 80.05% and an Area Under the Curve of 0.88 for predicting rCDI. Key predictive features included IBD subtype, sex, specific medications (such as steroids and anti-TNF agents), and comorbidities (such as chronic pulmonary and renal disease). DISCUSSION: The RecurCDI-IBD model demonstrates good discriminatory ability with balanced precision and recall in identifying patients with IBD at higher risk for rCDI. These findings highlight the potential of data-driven approaches to support clinical risk assessment. Further studies incorporating larger and more diverse cohorts and prospective external validation are needed to confirm generalizability and optimize clinical applicability.

This study reveals a novel role for Treg-derived IL-6R in supporting epithelial repair. Despite preserved immune-suppressive capacity, deletion of IL-6R from Tregs impairs epithelial transcription and worsens injury in colitis. We demonstrate that human intestinal organoids preferentially respond to trans- over classic IL-6 signaling. These findings introduce a Treg-specific role in immune-epithelial cross talk relevant to mucosal healing and inflammatory bowel disease.

Abstract Genome-wide association studies (GWAS) have identified over 300 loci associated with the inflammatory bowel diseases (IBD), but putative causal genes for most are unknown. We conducted the largest disease-focused expression quantitative trait loci (eQTL) analysis using colon tissue from 252 IBD patients to determine genetic effects on gene expression and potential contribution to IBD. Combined with two non-IBD colon eQTL studies, we identified 194 potential target genes for 108 GWAS loci. eQTL in IBD tissue were enriched for IBD GWAS loci colocalizations, provided novel evidence for IBD-associated genes such as ABO and TNFRSF14, and identified additional target genes compared to non-IBD tissue eQTL. IBD-associated eQTL unique to diseased tissue had distinct regulatory and functional characteristics with increased effect sizes. Together, these highlight the importance of eQTL studies in diseased tissue for understanding functional consequences of genetic variants, and elucidating molecular mechanisms and regulation of key genes involved in IBD.

INTRODUCTION: Despite research efforts, predicting Clostridioides difficile incidence and its outcomes remains challenging. The aim of this systematic review was to evaluate the performance of machine learning (ML) models in predicting C. difficile infection (CDI) incidence and complications using clinical data from electronic health records. METHODS: We conducted a comprehensive search of databases (OVID, Embase, MEDLINE ALL, Web of Science, and Scopus) from inception up to September 2023. Studies employing ML techniques for predicting CDI or its complications were included. The primary outcome was the type and performance of ML models assessed using the area under the receiver operating characteristic curve. RESULTS: Twelve retrospective studies that evaluated CDI incidence and/or outcomes were included. The most commonly used ML models were random forest and gradient boosting. The area under the receiver operating characteristic curve ranged from 0.60 to 0.81 for predicting CDI incidence, 0.59 to 0.80 for recurrence, and 0.64 to 0.88 for predicting complications. Advanced ML models demonstrated similar performance to traditional logistic regression. However, there was notable heterogeneity in defining CDI and the different outcomes, including incidence, recurrence, and complications, and a lack of external validation in most studies. DISCUSSION: ML models show promise in predicting CDI incidence and outcomes. However, the observed heterogeneity in CDI definitions and the lack of real-world validation highlight challenges in clinical implementation. Future research should focus on external validation and the use of standardized definitions across studies.