Introduction

Functional gastrointestinal disorders (FGIDs), such as irritable bowel syndrome (IBS) and functional dyspepsia, are prevalent conditions within the field of Neurogastroenterology. These disorders have a profound impact on patients’ quality of life and demand a comprehensive biopsychosocial approach to care. Despite evidence in favor of integrated care, treatment remains largely pharmacological. To address this gap, our hospital established a dedicated Functional Neurogastroenterology Unit by incorporating a nurse trained in health coaching and Neuro-Linguistic Programming (NLP) supported by a custom GPT-based artificial intelligence (AI) tool aimed at enhancing patient communication and clinical decision-making.

Results & Findings

A descriptive observational study was conducted on nurse-led consultations between September 2024 and April 2025. The intervention integrated coaching sessions, Neuro-Linguistic Programming (NLP), and the use of a customized GPT-based system to support communication and care planning. Data collected included demographic characteristics, presenting symptoms, and referral patterns. Additionally, each patient was invited to write a personal narrative reflecting on their experience throughout the intervention.

Summary & Discussion

Forty-eight patients were attended during the study period (mean age: 38.6 years; 68.7% female). The most common diagnoses were functional dyspepsia, irritable bowel syndrome, and nonspecific digestive disorders. Frequently reported symptoms included bloating, epigastric pain, early satiety and burning. 20.8% of patients were referred to psychology services and 2.1% to psychiatry. Patient narratives revealed improvements in emotional self-regulation, greater sense of empowerment, and high levels of satisfaction. AI reduced administrative burden, improving focus on direct care, interdisciplinary communication, and adherence to treatment.

Conclusion

Coaching, NLP and AI are effective tools to address FGIDs from nursing, promoting personalized care and improving the patient's emotional well-being.

References

1.Alenazi, S. K., et al. (2024). Integrating Artificial Intelligence Technologies into Nursing Practice: Revolutionizing Patient Care and Healthcare Efficiency. Journal of International Crisis & Risk Communication Research (JICRCR), 7.
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5. Feingold JH, Drossman DA. Deconstructing stigma as a barrier to treating DGBI: Lessons for clinicians. Neurogastroenterol Motil. 2021 Feb;33(2):e14080. doi:10.1111/nmo.14080. Epub 2021 Jan 23.
6.Zia JK, Lenhart A, Yang PL, Heitkemper MM, Baker J, Keefer L, et al. Risk factors for abdominal pain-related disorders of gut-brain interaction in adults and children: A systematic review. Gastroenterology. 2022 Oct;163(4):995-1023.e3. doi:10.1053/j.gastro.2022.06.028. Epub 2022 Jun 16.
7.Alonso-Sierra M, Malagelada C, Serra J. Organization of Neurogastroenterology and Motility units with a multidisciplinary, patient-centered perspective. Rev Esp Enferm Dig. 2024 Jun;116(6):302-304. doi:10.17235/reed.2024.10368/2024.

Introduction

Very early onset inflammatory bowel disease (VEO-IBD) is often associated with a severe disease course and unique characteristics including an underlying monogenic defect. In this study, we identified new pathogenic mutations in CGNL1 associated with VEO-IBD and other inflammatory GI disease. CGNL1 (Cingulin Like 1) encodes an epithelial junctional protein whose function was previously unknown in the gastrointestinal tract.

Aims & Methods

Whole exome sequencing (WES) was performed on the affected patient with VEO-IBD and all first-degree relatives with IBD and other inflammatory disease. Intestinal epithelial organoids (IEOs) were generated from the affected patient and were characterized by transepithelial electrical resistance (TEER), FITC-dextran permeability assay on epithelial cell monolayer, immunostaining, RNA sequencing, and transmission electron microscopy (TEM). In addition, we generated a new Cgnl1^-/- mouse model, which was characterized using FITC-dextran permeability assay, TEM, dextran-sodium sulfate (DSS)-induced colitis, and infections by Citrobacter rodentium and Clostridioides difficile. Single-cell datasets were analyzed to determine CGNL1 expression in IBD, primary sclerosing cholangitis (PSC), and autoimmune hepatitis (AIH).

Results

In the affected patient with VEO-IBD who required early total colectomy and pouch formation with coexistent PSC and celiac disease, WES identified two rare, new, pathogenic variants in the CGNL1 gene. Both pathogenic variants were also present in the patient’s younger sister, who has a similar history including early-onset, fulminant ulcerative colitis requiring total colectomy with ileostomy and PSC-AIH overlap syndrome. Furthermore, multiple relatives of the patient suffer from IBD and other inflammatory conditions including celiac disease, eosinophilic esophagitis, and type-1 diabetes. The RNA and protein levels of CGNL1 were significantly diminished in the patient’s intestinal epithelial cells compared to that of healthy individuals and other IBD patients by RNA-seq, immunoblotting, and immunostaining. The patient’s IEOs from pouch body and pre-pouch ileum formed smaller 3D spheroids with altered cell composition and significantly impaired barrier function compared to those from healthy controls and other IBD patients. Immunofluorescence and TEM demonstrated that CGNL1 is required for the assembly of junctional complexes in human IEOs and an epithelial cell line. Similarly to findings from the patient, impaired junctional complexes in intestinal epithelial cells and elevated intestinal permeability were present in Cgnl1^-/- mice at steady state. Cgnl1^-/- mice showed substantial vulnerability to DSS-induced colitis and bacterial infections that directly compromise the epithelial barrier. In addition, 6-month-old Cgnl1^-/- mice exhibited spontaneous inflammation in the colon and terminal ileum due to disrupted intestinal barrier, which was microbiome-dependent. Furthermore, single-cell analysis revealed diminished expression of CGNL1 in the intestinal and hepatic epithelial cells from patients with IBD or PSC/AIH, respectively.

Conclusion

The pathogenic CGNL1 variants contribute to VEO-IBD by disrupting gut barrier integrity, as demonstrated by patient’s cells and novel murine models. This study expands our understanding of epithelial barrier impairment in the pathogenesis of VEO-IBD, and highlights intestinal epithelium as a therapeutic target in some IBD patients.

Introduction

Inflammatory bowel diseases (IBD), including Crohn's disease and ulcerative colitis, are characterized by dysregulated T-cell responses, causing chronic intestinal inflammation.¹ While anti-TNF therapy is established in IBD, targeting additional pathways may improve outcomes for patients who do not respond adequately to current treatments.² OX40L, an immune co-stimulator, has been implicated in the pathogenesis of several inflammatory conditions.³ Our study provides a comprehensive analysis of the effects of combined TNF and OX40L blockade in a murine adoptive T cell transfer (ATC) model of colitis, examining body weight, detailed histopathological parameters, and a broad range of inflammatory cytokines in colon tissue.

Aims & Methods

Colitis was induced in severe combined immunodeficiency (SCID) mice by intraperitoneal transfer of CD4⁺CD45RB^high T cells isolated from healthy BALB/c donor mice. We established five treatment groups (n=8-10): 1) CD45RB^low transfer “healthy control”, 2) CD45RB^high transfer with isotype antibodies “disease control group”, 3) CD45RB^high transfer with anti-TNF antibody (XT3.11, 250 μg/mouse), 4) CD45RB^high transfer with anti-OX40L antibody (RM134L, 250 μg/mouse), and 5) CD45RB^high transfer with both antibodies at 250 µg/mouse, each. Body weight was monitored for 46 days as a measure of disease progression and normalized to baseline weight at day 1. At study termination, we collected colon tissue for analysis of inflammatory cytokines using multiplex immunoassays and conducted histopathological examination. Histopathological scoring was performed blinded using a validated scoring system for colonic inflammation.⁴

Results

Overall, combined anti-TNF/anti-OX40L therapy was most effective in preventing body weight loss compared to the isotype disease control group, followed by anti-TNF monotherapy and anti-OX40L monotherapy (p<0.0001, p=0.0009, and p=0.03, respectively). Mean normalized body weight (MNBW) of the CD45RB^low healthy control group at termination on day 46 was 115.2 %, while CD45RB^high cell transfer in the disease control group triggered disease induction and body weight loss, with a MNBW of 93.8 % at day 46. The CD45RB^high groups treated with anti-TNF or anti OX40L monotherapy reached a MNBW of 107.6 % and 102.9%, respectively. The CD45RB^high group treated with combination therapy reached 112.6%, closest to the CD45RB^low healthy control group. Notably, only combination therapy led to a significant improvement in histopathological scoring (p=0.0176) compared to the isotype disease control. Similarly, combination treatment consistently resulted in the strongest downregulation of several inflammatory cytokines including IFNg, IL-4, or TNFa, which are increased in colon tissue in the CD45RB^high disease group compared to the CD45RB^low healthy control group.

Conclusion

Combined blockade of TNF and OX40L demonstrated significantly greater efficacy in the ATC preclinical model of IBD in prevention of weight loss, downregulation of key inflammatory cytokines, and reduction of histological damage compared to either monotherapy. These data suggest potential additive efficacy for TNF and OX40L inhibition in controlling intestinal inflammation, and warrant further exploration of dual TNF/OX40L inhibition in clinical trials, particularly among those with inadequate response to anti-TNF monotherapy.

References

1. Kaser A, Zeissig S, Blumberg RS. Inflammatory bowel disease. Annu Rev Immunol. 2010;28:573-621.
2. Vermeire S. Combination biologic therapy for ulcerative colitis. Lancet Gastroenterol Hepatol. 2023;8:288-90.
3. Fu Y, Lin Q, Zhang Z, Zhang L. Therapeutic strategies for the costimulatory molecule OX40 in T-cell-mediated immunity. Acta Pharm Sin B. 2020;10:414-33.
4. Erben U, Loddenkemper C, Doerfel K, Spieckermann S, Haller D, Heimesaat MM, Zeitz M, Siegmund B, Kühl AA. A guide to histomorphological evaluation of intestinal inflammation in mouse models. Int J Clin Exp Pathol. 2014;7:4557-76.

Disclosure

Thomas Leeuw, Rolf Keiffer, Danping Ding-Pfennigdorff, Christian Asbrand, Raaj Mehta, Matthias Herrmann are employees of Sanofi and may hold stock or equity options in Sanofi

Introduction

The optimal surgical approach to reduce recurrence rates after laparoscopic repair of paraesophageal hernia (PEH) is yet to be defined. The crural repair is challenged by both axial and transverse-lateral tension, which may compromise durability. The aim of this double-blind randomized clinical trial was to investigate whether a left-sided diaphragmatic relaxing incision in addition to standard crural repair and fundoplication reduces anatomical recurrence rates at one year postoperatively.

Aims & Methods

This study was conducted at two high-volume Swedish centers—Ersta Hospital (Stockholm) and Sahlgrenska University Hospital (Gothenburg)—between August 2019 and August 2023. Adult patients undergoing surgery for PEH were randomized 1:1 to either standard crural repair with total (360°) fundoplication (control) or the same procedure with the addition of a left-sided diaphragmatic relaxing incision covered by synthetic mesh (intervention). Patients with prior hiatal surgery, ASA class IV or above, type I hernia, major esophageal motility disorders, or any contraindication to fundoplication were excluded. Blinding for patients and assessors was maintained throughout follow-up. Pre- and postoperative assessments included computed tomography (CT), symptom questionnaires (Dakkak dysphagia score, Gastrointestinal Symptom Rating Scale [GSRS]), and quality of life (QoL, RAND-36). The primary outcome was radiologically confirmed PEH recurrence at 12 months.

Results

Of 103 patients screened, 76 were randomized (38 per group). Baseline characteristics were well balanced. CT was completed in 72 patients (95%) at 12 months. The recurrence rate was 66% in the control group and 54% in the intervention group (p=0.313). Three patients in the intervention group had asymptomatic CT verified herniation at the site of the diaphragmatic incision. There were no differences in recurrence size distribution (<4 cm vs >4 cm) between groups. Postoperative symptom assessment revealed significant improvements in dysphagia, reflux, indigestion, and abdominal pain in both groups, without intergroup differences. Physical QoL (PCS) improved significantlywhereas mental QoL (MCS) remained unchanged. Two deaths occurred within 90 days postoperatively (1 per group), yielding a 90-day mortality of 2.6%. Other complications included mediastinal abscess (n=1, intervention group) and need for postoperative endoscopic dilatation (n=5 in total). Operation time tended to be longer in the intervention group (150 vs 133 min; p=ns).

Conclusion

In this randomized, double-blind trial, the addition of a left-sided diaphragmatic relaxing incision to standard laparoscopic PEH repair did not improve anatomical recurrence rates, symptom relief or QoL at 12 months after surgery and should not be recommended for routine use. Alternative strategies to improve recurrence rates after PEH need to be explored in the future.

Introduction

Artificial Intelligence (AI)- enabled endoscopy and histology offer accurate, objective, and rapid assessment of disease activity in Ulcerative Colitis (UC). Emerging multi-source AI models integrating diverse datasets may enhance standardised disease evaluation and outcome prediction.

Aims & Methods

This study aimed to develop a novel AI model fusing endoscopic and histological findings to improve the assessment of disease remission and predict early response to therapy in UC clinical trials. A novel multimodal AI fusion algorithm was developed by integrating paired endoscopic videos and histological whole-slide images (WSIs) from the phase 2 clinical trial of Mirikizumab in UC (NCT02589665). The endoscopy branch of the model was trained with 291 white-light videos, using a convolutional neural network to select informative frames and the BioMedCLIP foundational model to extract features. The histology branch utilised the CONCH foundational model and was fine-tuned on 291 WSIs to obtain patch-level features. Features from both modalities were aggregated and fused using multi-head self-attention. The model’s ability to assess histological remission and response to therapy at weeks 12 and 52 was evaluated. Histological remission was defined as Geboes ≤2B.0, while a response to therapy at different time points was based on histological remission or improvement (Geboes <3.1).

Results

The fusion model outperformed single-modality assessments for histological remission, achieving a sensitivity of 89.72% (95% CI: 82.35–94.76), specificity of 89.67% (95% CI: 84.34–93.67), and accuracy of 89.69% (95% CI: 85.61–92.94). It demonstrated remarkable performance in assessing response to therapy at 12 and 52 weeks, with sensitivity of 97.96% (95% CI: 89.15–99.95), specificity of 86.84% (95% CI: 71.91–95.59) and accuracy of 93.10% (95% CI 85.59 – 97.43) for histological remission at week 52. Substantial agreement was observed between the AI fusion model and central readout.

Conclusion

This innovative multimodal fusion AI model enhances the assessment of histological remission and accurately predicts response to therapy. By potentially standardising central readouts and enabling automated disease assessment, this novel tool marks a significant advancement towards precision medicine in clinical trials.

Disclosure

Marietta Iacucci received research grants and consultant fees from Olympus, Pentax, Eli Lilly, and Janssen. All other authors declare no competing interests.