Citations

Abstract Background Colonic strictures in Crohn’s disease (CD) present a complex and relatively underexplored clinical issue. Imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI), and intestinal ultrasound (IUS), have established criteria for evaluating small bowel CD strictures. However, radiologic definitions of benign colonic strictures and their diagnostic accuracy are not well-developed. Endoscopic definitions of colonic strictures are the most well-described. We conducted a systematic review to summarize definitions, diagnosis, and identification of inflammation and fibrosis of colonic strictures on endoscopy, CT, MR, and IUS. Methods A systematic review following PRISMA guidelines, from inception to October 6, 2024, was conducted using MEDLINE, Scopus, CINAHL, and CENTRAL databases to identify literature on diagnostic imaging of patients with colonic CD strictures. Only studies with comparison to endoscopy or imaging to a full-thickness histologic gold standard to differentiate fibrosis from inflammation were included. Two stage screening was completed in duplicate, and risk of bias was assessed using QUADAS-2. Results 46 studies were eligible for inclusion of 4623 abstracts screened. Definitions of colonic strictures on CT, MR, and IUS were highly variable with combinations of bowel wall thickness, luminal narrowing, and pre-stenotic dilation. Endoscopic definitions of colonic strictures were the most consistently reported as lack of passage of a colonoscope through a narrowed lumen. Diagnostic imaging definitions used various combinations of increased bowel wall thickness, luminal narrowing, and pre-stenotic dilation with no clear cutoffs. Few studies directly compared imaging features with histologic or endoscopic gold standards, limiting evaluation of diagnostic accuracy. Meta-analyses were not conducted due to methodological heterogeneity of grading fibrosis across studies. In addition, statistical heterogeneity of sensitivity, specificity, and accuracy of colonic stricture diagnoses was limited by pooling with small bowel strictures in the studies. Conclusion This systematic review highlighted the absence of standardized definitions for diagnosing colonic Crohn’s disease strictures, particularly on diagnostic imaging, and the limited data distinguishing inflammatory from fibrotic components. Bowel wall thickening, luminal narrowing, and pre-stenotic dilation are key features of small bowel strictures, but their relevance to the colon requires further assessment. Establishing standardized definitions for colonic strictures that incorporate both endoscopic and imaging modalities is essential to advancing the field. Conflict of interest: Dr. Lu, Cathy: Advisory board - Abbvie, Johnson and Johnson, Takeda, Ferring, Merck, Celltrion, Lilly, Pfizer, Pendopharm, Agomab. Research Funding - Abbvie, Helmsley Charitable Trust, Alberta Innovates Dhaliwal, Ravdip: No conflict of interest Kellar, Amelia: No conflict of interest Rowan, Catherine: No conflict of interest St-Pierre, Joelle: Consultant for Pfizer, Abbvie, Eli Lilly and Pendopharm, and speaker for Takeda. Ernest-Suárez, Kenneth: Consulting/Advisory Board fees: Abbvie, AstraZeneca, Johnson & Johnson, Pfizer, Ferring, Sandoz, SatisfAI, Takeda O’Brien, Maureen: No conflict of interest Rosentreter, Ryan: No conflict of interest Gulhati, Vishrut: No conflict of interest Baker, Mark: No conflict of interest Bettenworth, Dominik: DB is on the advisory board or consultant for AbbVie, Amgen, Arena, Atheneum, BNG Service GmbH, Bristol Myers Squibb, CED-Service GmbH, Celltrion, Doctorflix, DGVS, Diaplan, Else Kröner-Fresenius Foundation, Falk Foundation, Galapagos, Guidepoint, Impulze, Ferring, Janssen Cilag, Lilly, Medical Tribune, MedTriX, MSD, Mylan, Onkowissen, Pharmacosmos, Pfizer, Roche, Sandoz, Takeda, Tetrameros, Thieme, Tillotts Pharma, UCB Biopiharma, Viatris and Vifor Pharma. Bruining, David: Advisory board fees from Janssen Bari, Dane: Grant from Helmsley Charitable Trust speaker honorarium from Siemens Healthineers support for attending meetings or travel from Siemens Healthineers member of the Olympus advisory board co-chair Society of Abdominal Radiology (SAR) Inflammatory Bowel Disease Disease Focused Panel (IBD DFP) and SAR Photon-Counting Detector CT Emerging Technology Commission and chair of the Society for Advanced Body Imaging Scientific Committee. Dillman, Jonathan: Grants from Philips Healthcare, GE HealthCare, Motilent, Perspectum, Guerbet, and Bracco. El Ouali, Sara: Speaker and/or consulting fees from Takeda, Eli Lilly, Janssen, Abbvie. Fletcher, John: Grant supports from Siemens Healthineers Gordon, Ilyssa: Grants to institution from Morphic Therapeutics, Alimentiv, Pliant Therapeutics, and UCB patent pending with Case Western Reserve University on radiomics signatures Jairath, Vipul: Consulting Fees: Abbvie, Alimentiv, Amgen, Anaptys Bio, Asahi Kasei, Asieris, Astra Zeneca, Attovia, Blackbird Labs, BMS, Boehringer Ingleheim, Biomebank, Caldera, Calluna, Catalytic Health, Celltrion, Ensho, Enthera, Exeliome Biosciences, Ferring, Fresenius Kabi, Gilead, Granite Bio, GSK, Janssen, Lilly, Merck, Mountainfield, MRM Health, Nxera, Organon, OSE Immunotherapeutics, Pendopharm, Pioneering Medicine, Pfizer, Prometheus, Roche/Genentech, Sanofi, SCOPE, Shattuck Labs, Sorriso, Spyre, Synedgen, Takeda, Teva, Tillotts, Union Therapeutics, Ventus, Ventyx, Vividion, Xencor, Zealand Pharma. Feagan, Brian Gordon: Consulting Fees: AbbVie, Abivax, Adaxion, Adiso, AgomAB Therapeutics, Akros, Alira Health, Ally Bridge Group, Apini Therapeutics, Argenx, Attovia Tx, Avoro Capital Advisors, Belmore Law, Biora Therapeutics, Blackbird Laboratories, Boehringer-Ingelheim, BMS, Boxer Capital, Celgene/BMS, Clarivate, Connect Biopharm, EcoR1, Eli Lilly, Ensho Therapeutics, Equillium, Evida, Enveda, Evommune Inc. Faes Farma, First Wave, Forbion, Galapagos, Genentech/Roche, General Atlantic, Genesis Therapeutics, Gerson Lehrman Group, Gilead, Guidepoint, Imhotex, ImiDomics, Immunic Therapeutics, Janssen, Japan Tobacco Inc., LifeMine Therapeutics, Mage Biologics, Merck, Mirador Therapeutics, Mobius Care, Monte Rosa Tx, Morphic Therapeutics, Nimbus Therapeutics, Novartis, Nxera, OncoC3, Palisade Bio, Pendopharm, Pfizer,Q32 Bio, REDX, Roche, Sanofi, Sobi, Sorriso, Spyre Therapeutics, Sun Pharma, Surrozen Inc., Synedgen, Takeda, Tegus Inc., Teva, Tillotts, Trex Bio, TR1X Inc. TVM Lifesciences, Ventyx Biosciences, Versant Ventures, Vida Ventures, Ysios Capital, Zagbio Stock Shareholder: Connect Biopharm, EnGene, Evida, SRT, Imidomics, Enveda Rieder, Florian: Personal Fees: Adiso, Adnovate, Agomab, Allergan, AbbVie, Arena, Astra Zeneca, Boehringer-Ingelheim, Celgene/BMS, Celltrion, CDISC, Celsius, Cowen, Ferring, Galapagos, Galmed, Genentech, Gilead, Gossamer, Granite, Guidepoint, Helmsley, Horizon Therapeutics, Image Analysis Limited, Index Pharma, Landos, Jannsen, Koutif, Mestag, Metacrine, Mopac, Morphic, Organovo, Origo, Palisade, Pfizer, Pliant, Prometheus Biosciences, Receptos, RedX, Roche, Samsung, Sanofi, Surmodics, Surrozen, Takeda, Techlab, Teva, Theravance, Thetis, UCB, Ysios, 89Bio

Abstract Background Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn’s disease (CD), is characterized by immune dysregulation1,2. Blood-based biomarkers in diagnosing patients with IBD are lacking. We tested the hypothesis that circulating immune cell types and immune repertoire could distinguish patients with IBD from controls. Methods We performed deep immunophenotyping with scRNA-seq with T-cell receptor (TCR) and B-cell receptor (BCR) sequencing on peripheral blood mononuclear cells (PBMCs) from patients with IBD and healthy controls (87 UC, 127 CD, 35 controls). We applied machine learning to quantify cell abundance (miloR3), construct diagnostic classifiers (immuneML4), and infer cell-cell ligand-receptor interactions (MultiNicheNet5) between patients with IBD and controls. Results A scRNA-seq atlas of over 1.1 million PBMCs consisting of 53 distinct cell types was generated (Fig1A). In classifying UC vs controls, support vector machine model had a balanced accuracy of 0.90, consisting of increased IgA and IgG plasma B cells, switched memory B cells, TRegs, and decreased CD16 monocytes, cDC1, non-switched B cells, and MAIT (Fig.1B). In classifying CD vs controls, K-nearest neighbors model had a balanced accuracy of 0.87, consisting of increased IgA plasma B cells, non-switched B cells, CD4 Th22, TReg cytotoxic, CD4 Th1/Th17, and pDC and decreased CD16 monocytes, gdT, CD4 Th17, CD4 Th2, and MAIT cells.Fig.1C). Inflammation was associated with increased IgG plasma B in patients with both UC and CD. Using 4-mer amino acid motif of the BCR complementary-determining region 3 (CDR3) logistic regression model, immuneML had a balanced accuracy of 0.82 (0.75-0.92) in classifying CD vs controls (Fig.1D with models showing top 25 BCR predictive features). Using 4-mer amino acid motif of the BCR CDR3 logistic regression model, immuneML had a balanced accuracy of 0.90 (0.70-1.00) in classifying UC vs controls (Fig.1E with models showing top 25 BCR predictive features). Using 3-mer amino acid motif of the TCR CDR3 logistic regression model, immuneML had a balanced accuracy of 0.76 (0.72-081) in classifying CD vs UC. (Fig.1F with models showing top 25 TCR predictive features). In UC vs controls, MultiNicheNet demonstrated increased signaling in ADAM10-NOTCH2 between TRegs and naïve B cells and IL15-IL2RA between CD14 monocytes and CD4 Th17 cells. In CD vs controls, there was increased signaling in IL15-IL2RA between CD14 monocytes and CD4 Th17 cells and ADAM10-TSPAN5 between CD14 monocytes and TRegs (Fig.1G). Conclusion Applying machine learning models to scRNA-seq and immune repertoire datasets enable blood-based deep immunophenotyping with diagnostic potential and reveals novel insights into cell signaling in IBD. References: 1.Kong L, Pokatayev V, Lefkovith A, Carter GT, Creasey EA, Krishna C, Subramanian S, Kochar B, Ashenberg O, Lau H, Ananthakrishnan AN, Graham DB, Deguine J, Xavier RJ. The landscape of immune dysregulation in Crohn’s disease revealed through single-cell transcriptomic profiling in the ileum and colon. Immunity. 2023 Feb 14;56(2):444-458.e5. doi: 10.1016/j.immuni.2023.01.002. Epub 2023 Jan 30. Erratum in: Immunity. 2023 Dec 12;56(12):2855. doi: 10.1016/j.immuni.2023.10.017. PMID: 36720220; PMCID: PMC9957882. 2.Smillie CS, Biton M, Ordovas-Montanes J, Sullivan KM, Burgin G, Graham DB, Herbst RH, Rogel N, Slyper M, Waldman J, Sud M, Andrews E, Velonias G, Haber AL, Jagadeesh K, Vickovic S, Yao J, Stevens C, Dionne D, Nguyen LT, Villani AC, Hofree M, Creasey EA, Huang H, Rozenblatt-Rosen O, Garber JJ, Khalili H, Desch AN, Daly MJ, Ananthakrishnan AN, Shalek AK, Xavier RJ, Regev A. Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis. Cell. 2019 Jul 25;178(3):714-730.e22. doi: 10.1016/j.cell.2019.06.029. PMID: 31348891; PMCID: PMC6662628. 3.Dann E, Henderson NC, Teichmann SA, Morgan MD, Marioni JC. Differential abundance testing on single-cell data using k-nearest neighbor graphs. Nat Biotechnol. 2022 Feb;40(2):245-253. doi: 10.1038/s41587-021-01033-z. Epub 2021 Sep 30. PMID: 34594043; PMCID: PMC7617075. 4.Pavlović M, Scheffer L, Motwani K, Kanduri C, Kompova R, Vazov N, Waagan K, Bernal FLM, Costa AA, Corrie B, Akbar R, Al Hajj GS, Balaban G, Brusko TM, Chernigovskaya M, Christley S, Cowell LG, Frank R, Grytten I, Gundersen S, Haff IH, Hovig E, Hsieh PH, Klambauer G, Kuijjer ML, Lund-Andersen C, Martini A, Minotto T, Pensar J, Rand K, Riccardi E, Robert PA, Rocha A, Slabodkin A, Snapkov I, Sollid LM, Titov D, Weber CR, Widrich M, Yaari G, Greiff V, Sandve GK. The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. Nat Mach Intell. 2021 Nov;3(11):936-944. doi: 10.1038/s42256-021-00413-z. Epub 2021 Nov 16. PMID: 37396030; PMCID: PMC10312379. 5.Browaeys, R., Gilis, J., Sang-Aram, C., De Bleser, P., Hoste, L., Tavernier, S., Lambrechts, D., Seurinck, R. and Saeys, Y., 2023. MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data. BioRxiv, pp.2023-06. Conflict of interest: Dr. Gubatan, John Mark: No conflict of interest Jiayu, Ye: No conflict of interest Christin, Lund-Andersen: No conflict of interest Boye, Theresa: No conflict of interest Hoang, Jacqueline: No conflict of interest Sojwal, Raoul: No conflict of interest Fardeen, Touran: No conflict of interest Tran, Tracy: No conflict of interest Sokzini, Peacha: No conflict of interest Koh, Ally: No conflict of interest Gibson, Marielle: No conflict of interest Sinha, Sidhartha: No conflict of interest Rogalla, Stephan: No conflict of interest Rosen, Michael: No conflict of interest Nielsen, Ole Haagen: No conflict of interest Sandve, Geir Kjetil: No conflict of interest

Abstract Background A subset of risankizumab (RZB)-treated patients experience suboptimal or secondary loss of response to standard dosing. We explored factors associated with future RZB dose-optimization, and outcomes of optimization in a multicenter consortium of adults with Crohn’s Disease (CD). Methods Baseline characteristics at time of RZB initiation and subsequent clinical, endoscopic, and biochemical outcomes were collected in a multi-center cohort. Outcomes for dose-optimized RZB were reported as clinical response and remission (based on HBI or PGA when HBI unavailable), endoscopic remission (based on SEMA-CD or absence of ulcers when SEMA-CD not available), and biochemical response. Characteristics were compared between standard and dose-optimized groups using chi-square and two-sample t-tests. Additional models adjusting for age and sex assessed predictors of dose optimization. Results We identified 309 patients treated with standard dose and 58 for whom dose-optimized RZB was recommended. Of the 58, 29 were excluded from outcomes analysis due to lack of follow-up (n = 19) or insurance denial of dose optimization (n = 10). Demographic information is outlined in Table 1. Baseline characteristics associated with future dose optimization included number of prior advanced therapies (ATs) (OR, 1.29, p < 0.001), prior anti-TNF (OR,4.06; p = 0.022), and prior ustekinumab (UST) use (OR,1.82; p = 0.053) (Table 2). The 29 patients included in the outcome analysis received dose-optimized RZB for primary non-response (n = 2), partial response (n = 23), or secondary loss of response (n = 4) after a median of 321 days (IQR, 234-440) from index RZB start. Median follow-up after dose optimization was 217 days (IQR, 147-331). All patients were AT-exposed (Table 1). Baseline clinical symptoms were present in 27 patients (93.1%), with median HBI of 6.5 (IQR, 6.0-8.0). Active endoscopic disease was observed in 11/12 patients (91.7%) who had baseline endoscopy. Dosing was every 4 weeks in 19 (65.5%), every 6 weeks in 9 (31.0%), and combined IV re-induction plus every 4-weeks in 1 (3.4%) patient. Clinical response and remission was seen in 16 (55.2%) and 12 (41.4%) patients, respectively. A ≥ 50% CRP reduction was seen in 5/12 (41.7%) patients with baseline elevated CRP. Among 7 patients with baseline active endoscopic disease with available follow-up, 3 (42.9%) achieved endoscopic remission. No adverse events were reported. Conclusion In this multi-center retrospective cohort, prior AT-exposure (especially anti-TNF) was associated with need for RZB dose-optimization. Dose optimization successfully captured clinical response in a significant proportion of patients who experienced partial response or loss of response to RZB. Conflict of interest: Johnson, Amanda: Research grant: Abbvie, Spyre Therapeutics Ramesh, Prajith Raj: None Said, Hyder: No conflict of interest Huang, Katherine: No conflict of interest Devi, Jalpa: none Pekow, Joel R.: CVS Health - Consulting Abbvie, Eli Lilly, Pfizer, Johnson and Johnson - Stocks Alhobayb, Tamara: No conflict of interest Bassmeyer, Blake: No conflict of interest Mohamed, Mouhand: No conflict of interest Shivashankar, Raina: Abbvie and BMS - speaker bureau Janssen and Celltrion - grant for IBD fellowship funding Pfizer - consultant Rathi, Jaya: No conflict of interest Luu, Bryan: No conflict of interest Khan, Abdul: No conflict of interest Loftus, Jr, Edward: Grant: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Genentech, Gilead, Janssen, Pfizer, Receptos, Robarts Clinical Trials, Takeda, Theravance, UCB. Personal Fees: AbbVie, Allergan, Amgen, Arena, Boehringer Ingelheim, Bristol-Myers Squibb, Calibr, Celgene, Celltrion, Eli Lilly, Genentech, Gilead, Iterative Scopes, Janssen, Ono Pharma, Pfizer, Sun Pharma, Takeda, UCB. Bishu, Shrinivas: None Patel, Anish: speaker: abbvie, J & J, Lilly, BMS, Pfizer, Phathom, Takeda consultant: abbvie Shukla, Richa: Speakers bureau - Abbvie and Lilly Yarur, Andres: Personal Fees: Consultant for Takeda, Pfizer, Roche, Merck, Abbvie, Eli Lilly. Bristol Myers Squibb, Celltrion, Johnson and Johnson. Ungaro, Ryan: Personal Fees: AbbVie, Bristol Myers Squibb, Genentech, Lilly, Pfizer, Janssen, Takeda Deepak, Parakkal: Parakkal Deepak has received research support under a sponsored research agreement unrelated to the data in the abstract from AbbVie, Johnson and Johnson, Sanofi, Merck, Teva, Direct Biologics, Tr1x, Boehringer Ingelheim, Bristol Myers Squibb, Pfizer, Prometheus Biosciences, Takeda Pharmaceuticals, Roche Genentech, Eli Lilly, AstraZeneca, Spyre and Agomab, has received consulting fees from Johnson and Johnson, Abbvie, Merck, Sobi, Celltrion, Fresenius Kabi, Asahi Kasei Pharma, Sandoz and CorEvitas, LLC and has served on the board of the Srategic Alliance for Intercultural Advocacy in GI.

Abstract Background Risankizumab (RZB), a high-affinity humanised IgG1 monoclonal antibody targeting interleukin-23 p19, has demonstrated sustained efficacy, with a consistent safety profile supporting long-term use for patients (pts) with ulcerative colitis (UC).1-3 This interim analysis reports efficacy and safety through open-label extension (OLE) week (wks) 96 (3 years [yrs] of total maintenance) from the COMMAND OLE. Methods The OLE enrolled RZB-treated pts who completed the 52-wk maintenance substudies and/or responded to 12/24-wk induction therapy.1 All pts received subcutaneous RZB 180 mg (RZB180) starting at OLE wk 0, except those who received prior OLE RZB rescue therapy (1 RZB 1200 mg intravenous dose then RZB 360 mg [RZB360] every 8 wk) and continued RZB360 for 96 wks. Efficacy endpoints (clinical remission [CR] per Adapted Mayo Score [AMS], CR per Partial AMS [PAMS], corticosteroid-free CR per PAMS, clinical response per AMS, clinical response per PAMS, endoscopic improvement, and endoscopic remission) were assessed at OLE wks 0 and 96 and reported as observed (AO) prior to OLE RZB rescue therapy and nonresponder imputation (NRI), among the overall population and by inadequate response to advanced therapy (AT-IR vs non-AT-IR; data cutoff: 25Aug2025). The safety analysis included pts who received at least 1 dose of OLE RZB, with data presented as events/100 pt-yrs. Results At OLE wk 0, approximately 90% pts (N = 1003) completed the study visit; some differences were observed in the clinical characteristics of RZB180 and RZB360-treated pts, including mean AMS (2.0, 3.4); a numerically higher proportion of RZB360-pts were AT-IR (63.1%, 76.8%), and had an endoscopic score of ≥ 3 (12.1%, 31.1%). A lower proportion of RZB360-treated pts achieved CR per AMS (54.8%, 25.2%) at OLE wk 0, while a higher proportion of RZB360-treated pts received OLE rescue therapy (RZB180, 22.1%; RZB360, 34.5%). Efficacy rates remained stable at OLE wks 0 and 96 for CR per AMS; similar results were observed within each subgroup, AT-IR and non-AT-IR (Table 1). Numerically lower efficacy rates were observed in the AT-IR vs non-AT-IR pts at wk 96; efficacy was sustained through OLE wk 96 for all endpoints (AO, NRI; Table 1). Similar rates were observed for any adverse event (AE), severe AE, and serious AE in RZB180 and RZB360-treated pts. No new safety risks were identified in either treatment group (Table 2). Conclusion In the ongoing COMMAND OLE, sustained clinical and endoscopic benefit was observed in pts receiving up to 3 yrs of long-term RZB maintenance therapy, with numerically lower efficacy rates observed for AT-IR vs non-AT-IR vs pts. The long-term safety of RZB remains consistent with a favorable benefit-risk profile, supporting its long-term use in UC. References: 1.Louis E et al. JAMA. 2024;332:881-97. 2.Atreya R et al. J Crohn’s Colitis. 2025;19(S1):i108-i110. [Abstract]. 3.Panaccione R et. al. J Crohn’s and Colitis. 2025, 19(1):jjaf005. Conflict of interest: Atreya, Raja: RA has served as a speaker, or consultant, or received research grants from AbbVie, Abivax, AlfaSigma, Arena Pharmaceuticals, Astra-Zeneca, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, Celltrion Healthcare, Dr Falk Pharma, Galapagos, Gilead, GlaxoSmithKline, InDex Pharmaceuticals, Johnson & Johnson, Lilly, Materia Prima, Merck Sharpe & Dohme, Pfizer, Roche Pharma, Takeda Pharma, Viatris. Louis, Edouard: Education and Reserach Grants for my department: Abbvie, Takeda, Johnson and Johnson, Pfizer, Fresenius-Kabi, Celltrion, EG pharma, Sandoz, Falk Personal Fees for conferences, advisory boards and consultancy: Abbvie, Takeda, Ferring, Pfizer, Johnson and Johnson, Lilly, Galapagos, Celltrion, Arena, BMS, Falk, Biokuris, Fresenius-Kabi, Thabor Loftus, Jr, Edward: Grant: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Genentech, Gilead, Janssen, Pfizer, Receptos, Robarts Clinical Trials, Takeda, Theravance, UCB. Personal Fees: AbbVie, Allergan, Amgen, Arena, Boehringer Ingelheim, Bristol-Myers Squibb, Calibr, Celgene, Celltrion, Eli Lilly, Genentech, Gilead, Iterative Scopes, Janssen, Ono Pharma, Pfizer, Sun Pharma, Takeda, UCB. Rubin, David T.: Grant support: Takeda Pharmaceuticals Consultant: Abbvie, Abivax SA, Altrubio, Athos Therapeutics, Inc, Bristol-Myers Squibb, Celltrion, Connect BioPharma, Eli Lilly & Co., Genentech (Roche) Inc., Iterative Health, Janssen Pharmaceuticals, Johnson & Johnson, Merck & Co., Mirador, Odyssey Therapeutics, Pfizer, Sanofi, Spyre, Takeda Pharmaceuticals, Vedanta Biosciences, and Ventyx. Dubinsky, Marla C: Personal Fees: Consultant or Advisory Board: Abbvie, Abivax, Astra Zeneca, BMS, Celltrion, Gilead, Genentech, Janssen, Johnson and Johnson, Lilly, Merck, Pfizer, Prometheus Biosciences, Sanofi, Spyre, Target RWE, Takeda Other: Shareholder, Co-founder, Board of Directors of Trellus Health Co-Founder Mi Test Health Hisamatsu, Tadakazu: Grant support: Mitsubishi Tanabe Pharma Corporation, EA pharma Co. Ltd., AbbVie, JIMRO Co. Ltd., Zeria Pharmaceutical Co. Ltd., Kyorin Pharmaceutical Co. Ltd., Takeda, Pfizer., Mochida, Boston Scientific Corporation, Kissei Pharmaceutical Co. Ltd. Consulting: Mitsubishi Tanabe Pharma Corporation, EA pharma Co. Ltd., AbbVie GK, Janssen Pharmaceutical K.K., Pfizer, Eli Lilly, Gilead Sciences, Bristol Myers Squibb, Abivax, MSD, Chugai. Lecture fee: Mitsubishi Tanabe Pharma Corporation, AbbVie GK, EA pharma Co. Ltd., Kyorin Pharmaceutical Co. Ltd., JIMRO Co., Janssen Pharmaceutical K.K., Mochida Pharmaceutical Co., Ltd., Takeda, Pfizer, Kissei Mambetsariev, Nurbek: Employee of AbbVie and may own stock and/or stock options. Kalabic, Jasmina: Employee of AbbVie and may own stock and/or stock options. Cheng, Peiyao: Employee of AbbVie and may own stock and/or stock options. Chen, Su: Employee of AbbVie and may own stock and/or stock options. O’Brien, Dan: Employee of AbbVie and may own stock and/or options. Morisset, Pierre: Employee of AbbVie and may own stock and/or stock options. Duan, W. Rachel: Employee of AbbVie and may own stock and/or stock options. Panaccione, Remo: Grant: Abbvie, Janssen, Pfizer, Takeda. Other: Consultant for: Abbott, AbbVie, Abbivax, Alimentiv (formerly Robarts), Amgen, AnaptysBio, Arena Pharmaceuticals, AstraZeneca, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, Celltrion, Cosmos Pharmaceuticals, Eisai, Elan, Eli Lilly, Ferring, Galapagos, Fresenius Kabi, Genentech, Gilead Sciences, Glaxo-Smith Kline, JAMP Bio, Janssen, Merck, Mylan, Novartis, Oppilan Pharma, Organon, Pandion Pharma, Pendopharm, Pfizer, Progenity, Prometheus Biosciences, Protagonist Therapeutics, Roche, Sandoz, Satisfai Health, Shire, Sublimity Therapeutics, Spyre Therapeutics, Takeda Pharmaceuticals, Theravance Biopharma, Trellus, Union Biopharma, Viatris, Ventyx, UCB Speaker’s Fees for: AbbVie, Amgen, Arena Pharmaceuticals, Bristol-Myers Squibb, Celgene, Eli Lilly, Ferring, Fresenius Kabi, Gilead Sciences, Janssen, Merck, Organon, Pfizer, Roche, Sandoz, Shire, Takeda Pharmaceuticals Advisory Boards for: AbbVie, Alimentiv (formerly Robarts), Amgen, Arena Pharmaceuticals, AstraZeneca, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, Eli Lilly, Ferring, Fresenius Kabi, Genentech, Gilead Sciences, Glaxo-Smith Kline, JAMP Bio, Janssen, Merck, Mylan, Novartis, Oppilan Pharma, Organon, Pandion Pharma, Pfizer, Progenity, Protagonist Therapeutics, Roche, SandozShire, Sublimity Therapeutics, Takeda Pharmaceuticals, Ventyx.

Abstract Background JAK inhibitors (JAKi) are small molecules that cross the placenta from early pregnancy.1 Evidence on the safety of in utero JAKi exposure remains limited, particularly regarding pregnancy outcomes, infant infections, vaccine responses, and early development.2, 3 Methods We conducted a multicenter retrospective study within the ECCO CONFER network, including pregnant women with inflammatory bowel disease (IBD) exposed to tofacitinib (TOFA), upadacitinib (UPA), or filgotinib (FILGO). Data were collected from 22 centers across 16 countries and included maternal characteristics, disease activity, medication patterns, and pregnancy and infant outcomes. Results Among 55 JAKi exposed pregnancies, 21 (38.2%) were unplanned and 30 (54.6%) had active disease. Nine women (16.4%) initiated JAKi during pregnancy. Overall, 38 (69.1%) received TOFA, 15 (27.3%) UPA, and 2 (3.6%) FILGO; 39 (70.9%) continued treatment throughout pregnancy. JAKi discontinuation in 1st-2nd trimester led to disease activity in 9/16 cases (56.3%). Maternal complication risk was low: no DVT or (pre) eclampsia occurred; three cases of premature rupture of membranes (GA 34–37) and four required hospitalizations due to infection or other complications. A total of 10 abortions occurred - five spontaneous (9.1%) and five induced (9.1%), including three due to concern about JAKi exposure. Among 45 live births, two infants (3.6%) were preterm, four (7.3%) small for gestational age, and two (3.6%) had Apgar <7 at 5 minutes. No congenital abnormalities were reported. Infant follow-up findings are summarized in Table 1. One-third of breastfeeding women continued JAKi postpartum. A high adherence rate to the national immunization schedule was seen. Eight (19.5%) received the live BCG-vaccine within the first 30 days of life. No adverse events followed live or inactivated vaccines, and no malignancies were observed. Conclusion In this global cohort of JAKi-exposed pregnancies in women with IBD, maternal complication rates were low, and no increased risk of adverse outcomes among live births was identified. While disease activity was common, particularly following discontinuation of JAKi, infant outcomes - including development, infection risk, and vaccine response - were reassuring. These findings provide important preliminary safety data to inform decision-making regarding JAKi use in pregnancy, though prospective studies are needed to confirm long-term safety. References: 1.Fein KC, Arral ML, Kim JS, et al. Placental drug transport and fetal exposure during pregnancy is determined by drug molecular size, chemistry, and conformation. J Control Release 2023;361:29–39. 2.Torres J, Chaparro M, Julsgaard M, et al. European Crohn’s and Colitis Guidelines on Sexuality, Fertility, Pregnancy, and Lactation. J Crohns Colitis 2023;17:1–27. 3.Mahadevan U, Seow CH, Barnes EL, et al. Global Consensus Statement on the Management of Pregnancy in Inflammatory Bowel Disease. J Crohns Colitis 2025;epub ahead of print. Conflict of interest: Julsgaard, Mette: No conflict of interest Baunwall, Simon MD: No conflict of interest Seow, Cynthia: No conflict of interest Duricova, Dana: No conflict of interest Kane, Sunanda: No conflict of interest Zacharias, Neha: No conflict of interest Leong, Rupert: No conflict of interest Cremer, Anneline: No conflict of interest Kok, Klaartje: No conflict of interest Kagramanova, Anna Valeryevna: No conflict of interest Pipek, Barbora: No conflict of interest Candido, Kristina: No conflict of interest Cooney, Rachel: No conflict of interest Filip, Rafal: No conflict of interest Kiudelis, Vytautas: No conflict of interest Konečný, Michal: No conflict of interest Paramsothy, Sudarshan: No conflict of interest Pugliese, Daniela: No conflict of interest Oliveira Santana Silva, Genoile: Honoraria - Abbvie, Johnson & Johnson, Ferring, Takeda. Research - Abivax, Takeda, Johnson & Johnson, Roche, Sanofi, Polpharma. Advisory board - Abbvie, Johnson & Johnson, MSD. Savarino, Edoardo Vincenzo: No conflict of interest Smolovic, Brigita: No conflict of interest Vieujean, Sophie: No conflict of interest Wei, Shu Chen: No conflict of interest Mahadevan-Velayos, Uma: No conflict of interest

Abstract Background The STOMP2 trial sought to determine whether the implantable autologous cell therapy AVB-114 is an effective add-on therapy for patients with persistent Crohn’s perianal fistulas. The trial design incorporated wait-list controlled (WLC) elements, allowing eligible control group subjects who completed the 9 mo primary endpoint visit in Part 1 to request AVB-114 treatment in Part 2 and strengthen the evaluation of AVB-114’s safety and effectiveness. Methods Eligible patients had a single perianal fistula tract and had failed prior treatment or had documented medication intolerance to biologic or conventional Crohn’s disease therapy. Subjects at 14 U.S. sites were randomized 1:1 to either standard of care (SoC; fistula optimization including seton placement) or AVB-114 implantation. The primary endpoint was combined fistula remission at 9 mo, defined as no collections >2cm on MRI, visual closure of the external opening, and no drainage of fluid despite gentle finger compression. A logistic regression time from exposure model through 9 mo utilized complete Part 1 data and all available Part 2 data to estimate combined AVB-114 effectiveness. Results Part 1 combined remission (using Non-Responder Imputation) was 8.3% (2/24) for SoC and 45.8% (11/24) for AVB-114 (38% difference, 95% CI 11 – 60%, post-hoc p-value of 0.0078). Twenty SoC subjects were treated with AVB-114 in Part 2. Four of the 9 Part 2 subjects with 9 mo combined remission data available were in combined fistula remission (44.4%). No subjects failed 9 mo radiological remission (first component of the primary endpoint), thus clinical remission (composite of the latter two components) was equivalent to combined remission. AVB-114 clinical remission in Part 1 and Part 2 to-date were similar, and when combined provided narrower estimates with the same coverage (Figure 1). Mean (SD) 9 mo perianal disease activity index (PDAI) scores for SoC, Part 1 AVB-114, and Part 2 AVB-114 were 5.0 (2.6), 4.1 (2.9), and 3.8 (3.5), respectively. Lower 9 mo scores and decreases from baseline were independently associated with an increased probability of clinical remission. Two serious treatment-emergent adverse events (TEAEs; pseudopolyposis and proctalgia) occurred, with the latter attributed to AVB-114. Non-serious product related TEAE were predominantly related to postoperative perianal pain. Two grade 2 (moderate) AEs of cellulitis and abdominal wall abscess were attributed to adipose tissue collection. Conclusion Both the randomized and combined (all-treated) analyses demonstrated substantial AVB-114 effectiveness through 9 mo in this challenging patient population. AEs were anticipated, and generally mild and infrequent. Conflict of interest: Schwartz, David: 1) Abbvie: consultant 2) Janssen: Consultant 3) Takeda: Consultant 4) Avbios- consultant 5) Olympus- consultant Dozois, Eric: TBD Ehman, Eric: TBD Faubion, William: TBD Hudesman, David: Consultant: Avalo, Abbvie, Abivax, Biocon, BMS, CorEvitas, Eli Lilly, Johnson and Johnson, Pfizer, Prometheus, Sanofi, Takeda, Fresenius Kabi Research Support: Pfizer and Johnson and Johnson Espen, Benjamin: employee of Avobis Bio LLC Pabla, Baldeep: Astellas, J & J - Advisory Board Prometheus - Speaker Eli Lilly - Speaker Papadakis, Konstantinos: TBD

Abstract Background Icotrokinra is the first targeted oral peptide that selectively blocks the IL-23 receptor (IL-23R) and precisely inhibits the IL-23 pathway. In ANTHEM-UC—a Phase 2b, randomised, double-blind, placebo (PBO)-controlled, dose-ranging study in adults with moderately to severely active ulcerative colitis (UC)—all doses of icotrokinra achieved the primary endpoint of clinical response and delivered clinically meaningful improvements across key secondary endpoints at Week (W)12,1 which were maintained or improved at W28.2 Here we report the impact of icotrokinra on systemic and tissue biomarkers of inflammatory burden in UC. Methods Participants were randomised (1:1:1:1) to receive once-daily icotrokinra 100 mg, 200 mg, 400 mg, or PBO. Clinical inflammatory biomarkers, C-reactive protein (CRP) and faecal calprotectin (FCP), along with serum IL-23 pathway biomarkers (IL-22, IL-17A, and IL-17F) were used to determine the impact of icotrokinra on systemic inflammation. Gene expression changes in colonic biopsies were used to confirm tissue IL-23 pathway engagement and dampening of tissue inflammation with icotrokinra. Results At the W12 primary timepoint, all doses of icotrokinra attenuated levels of serum CRP and FCP (Figure 1). All doses of icotrokinra, but not PBO, markedly reduced serum levels of IL-22, IL-17A, and IL-17F at W12 relative to baseline. Greater reductions in these serum biomarkers of IL-23 pathway activation were observed with the 200 mg and 400 mg doses relative to the 100 mg dose (Figure 1, nominal p < 0.05). All doses of icotrokinra, but not PBO, markedly reduced expression of gene sets associated with the IL-23–driven inflammation in tissue at W12 relative to baseline (Figure 2, nominal p < 0.0001). With icotrokinra treatment, the tissue transcriptome more closely resembled that of healthy individuals, with decreased expression of gene sets associated with UC-relevant inflammatory cell types and increased expression of genes characteristic of healthy epithelial cells. Importantly, dampening of systemic and tissue inflammation with icotrokinra was sustained at W28 (Figures 1 & 2). Conclusion We show for the first time that blocking the IL-23R can inhibit IL-23-mediated inflammatory signaling in UC patients. Icotrokinra treatment induced a sustained (W28) reduction in systemic and tissue biomarkers of inflammatory burden in UC. Furthermore, icotrokinra induced transcriptional changes that are consistent with dampening of IL-23–driven inflammation and normalization of the tissue transcriptome. While all once-daily doses of icotrokinra attenuated systemic and tissue inflammation, greater reduction of systemic inflammatory burden was observed with the 200 mg and 400 mg doses of icotrokinra. References: 1. Abreu MT, et al. United European Gastroenterol J. 2025 10;13(suppl 8):172-3. 2. Jairath V, et al. Am J Gastroenterol. 2025 120;10(suppl 2):S312. Conflict of interest: Louis, Edouard: Education and Research Grants for my department: Abbvie, Takeda, Janssen, Pfizer, Fresenius-Kabi, Celltrion, EG pharma, Sandoz, Falk Personal Fees for conferences, advisory boards and consultancy: Abbvie, Takeda, Ferring, Pfizer, Janssen, Lilly, Galapagos, Celltrion, Arena, BMS, Falk, Biokuris, Fresenius-Kabi, Thabor Jairath, Vipul: Consulting fees from AbbVie, Alimentiv, Amgen, Anaptys Bio, Asahi Kasei, Asieris, Astra Zeneca, Attovia, Blackbird Labs, Bristol Myers Squibb, Boehringer Ingleheim, Biomebank, Caldera, Calluna, Catalytic Health, Celltrion, Ensho, Enthera, Exeliome Biosciences, Ferring, Fresenius Kabi, Gilead, Granite Bio, GSK, Johnson & Johnson, Lilly, Merck, Mountainfield, MRM Health, Nxera, Organon, OSE Immunotherapeutics, Pendopharm, Pioneering Medicine, Pfizer, Prometheus, Roche/Genentech, Sanofi, SCOPE, Shattuck Labs, Sorriso, Spyre, Synedgen, Takeda, Teva, Tillotts, Union Therapeutics, Ventus, Ventyx, Vividion, Xencor, Zealand Pharma. Siegmund, Britta: Consultant for AbbVie, Abivax, Boehringer Ingelheim, Bristol Myers Squibb, Dr. Falk Pharma, Eli Lilly, Endpoint Health, Galapagos, Johnson & Johnson, Materia Prima, MSD, Pfizer, Takeda, Wedbush Securities speaker for AbbVie, AlfaSigma, Bristol Myers Squibb, CED Service GmbH, Dr. Falk Pharma, Eli Lilly, Ferring, Galapagos, Johnson & Johnson, MD Education, MSD, Pfizer, Tr1xBio grant from Pfizer. Kannan, Arun K: Employee and shareholder of Johnson & Johnson Zeeman, Martha: Employee and shareholder of Johnson & Johnson Hart, Amy: Employee and shareholder of Johnson & Johnson Strawn, David: Employee and shareholder of Johnson & Johnson Venkat, Swati: Employee and shareholder of Johnson & Johnson Tomsho, Lynn: Employee and shareholder of Johnson & Johnson Mcrae, Bradford: Employee and shareholder of Johnson & Johnson Ruane, Darren: Employee and shareholder of Johnson & Johnson Surace, Lindsey: Employee and shareholder of Johnson & Johnson Erondu, Ngozi: Employee and shareholder of Johnson & Johnson Zhan, Joyce: Employee and shareholder of Johnson & Johnson Chen, Minhu: I have received speaker honoraria from Takeda China, Xian Janssen, and AbbVie China, as well as research funding from Takeda (China). Chachu, Karen: Advisory board for Johnson & Johnson consultant for OptumRx Matsuoka, Katsuyoshi: Grant: Abbvie Inc., Mochida Pharmaceutical Co., Ltd., ZERIA Pharmaceutical Co., Ltd., Nippon Kayaku Co., Ltd., JIMRO Co., Ltd. Personal Fees: Mitsubishi Tanabe Pharma, Janssen Pharmaceutical K.K., Abbvie Inc., EA Pharma Co., Ltd., Takeda Pharmaceutical Co., Ltd., Mochida Pharmaceutical Co., Ltd., ZERIA Pharmaceutical Co., Ltd., Nippon Kayaku Co., Ltd., Pfizer Inc., Kyorin Pharmaceutical Co., Ltd., Eli Lilly Japan K.K., Kissei Pharmaceutical Co., Ltd., Gilead Sciences, Celltrion Healthcare, Bristol-Myers Squibb Limdi, Jimmy: Speaker/consultancy fees from AbbVie, Abivax, Arena, BioHit, Bristol Myers Squibb, Celltrion, Eli Lilly, Ferring, Galapagos, Johnson & Johnson, MSD, Pfizer, Takeda research support from Galapagos, Takeda Rydzewska, Grazyna: Speaker and consultant fees from AbbVie, AlfaSigma, AstraZeneca, Bayer, Biocodex, Bristol Myers Squibb, Ferring, Johnson & Johnson, Lilly, PRO.MED.Pl, Recordati, Sanprobi, SOBI, Takeda travel/accommodation meeting expenses from AbbVie, Ferring, Takeda Abreu, Maria Teresa: Grant/Research Support: Janssen, Prometheus Bioscience, Takeda Consultant: Janssen, Prometheus Bioscience, Takeda Gilead, Eli Lilly, AbbVie Inc., Bristol Myers, Imedex, Loftus Jr, Edward V: Consultant/advisory board member for AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly and Company, Genentech, Gilead Sciences, Johnson & Johnson, Pfizer, Takeda, UCB.

Context.— The US Food and Drug Administration (FDA) Emergency Use Authorization (EUA) for SARS-CoV-2 assays encompassed both in vitro diagnostic and laboratory-developed tests. Related testing data and documents from EUAs were published on the FDA website as PDF files, constituting a rich data resource. Objective.— To highlight the value of structured descriptive and validation data and provide recommendations on improving the quality, accessibility, and shareability of the FDA’s digital resources. Design.— SARS-CoV-2 diagnostics EUAs and related files were acquired from the FDA, and data were extracted through an iterative manual or automated process with quality assurance in accordance with a set of data entry definitions to generate a data product (ie, data analysis and presentation of data into tables, graphs, and reports, optionally including different data sets) that could be disseminated. Results.— Four challenges limited the usability of FDA EUA data, including (1) distinguishing EUA tests owing to similar names or inconsistent naming conventions; (2) document location and tracking owing to inconsistent EUA document identifiers, resource locators, and versioning; (3) data location and retrieval owing to heterogeneous structure and data formatting within EUA documentation; and (4) maintenance of existing data owing to lack of clear and traceable communication around EUA amendments. Conclusions.— Converging efforts from disparate groups to extract and synthesize FDA test data reveal an unaddressed need for better organization and communication. Existing FDA data reporting systems must be improved and adapted for the demands of the connected data science era.

Introduction Asthma is a multifactorial disease influenced by genetic and environmental factors, including diet. The gut microbiome contributes to airway inflammation via the gut-lung axis, partly through production of short chain fatty acids (SCFAs) from bacterial fermentation of dietary fiber. We hypothesized that dietary fiber supplementation could modulate the gut microbiome and increase SCFAs in children with asthma. Methods This is a double-blind, placebo-controlled trial of children who were randomized to consume 12 g of soluble corn fiber (SCF) as a supplement to their usual daily diet (50% the recommended daily fiber intake) or placebo for 4–6 weeks ( clinicaltrials.gov NCT03673618). Dietary surveys, asthma symptom questionnaires, fecal, blood and nasal samples were collected before and after the intervention period to quantify fiber intake, asthma control, nasal and gut microbiome, and serum short chain fatty acids (SCFAs). Results Of the 20 children enrolled, 15 completed the intervention with an average adherence rate of 83%. SCFA concentrations and gut microbiome changes varied by individual and treatment group. No significant differences in gut or nasal alpha or beta diversity were observed between groups post-intervention. However, differential abundance analysis showed a trend toward increased Bifidobacterium in the SCF group compared to placebo (ANCOM-BC p = 0.0004, FDR q = 0.073). Discussion Supplementation of 50% of recommended daily fiber intake had minimal impact on asthma symptoms, the microbiome, or SCFA levels. Future studies should consider higher fiber doses, different fiber types, or targeting individuals with low baseline fiber intake to account for observed variability in microbiome and SCFA responses. Clinical Trial Registration https://clinicaltrials.gov/study/NCT03673618 , identifier NCT03673618.