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.
2.Barr, J. A., & Tsai, L. P. (2021). Health coaching provided by registered nurses described: a systematic review and narrative synthesis. BMC nursing, 20, 1-18.
3.Vitale, E., & Germini, F. (2021). Nurse coaching improves healthy conditions: an integrative review of the literature. Italian Journal of Medicine, 15(3).
4.Thomas, J. (2025). Artificial intelligence in nursing research: A narrative review of transforming clinical practice, enhancing patient outcomes, and shaping future care. decision-making, 1, 3.
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.