Sustained Increase in Pediatric Inflammatory Bowel Disease Incidence Across the South West United Kingdom Over the Last 10 Years.

BACKGROUND: Pediatric inflammatory bowel disease (pIBD) incidence has increased over the last 25 years. We aim to report contemporaneous trends across the South West United Kingdom. METHODS: Data were provided from centers covering the South West United Kingdom (Bristol, Oxford, Cardiff, Exeter, and Southampton), with a total area at-risk population (<18 years of age) of 2 947 534. Cases were retrieved from 2013 to 2022. Incident rates were reported per 100 000 at-risk population, with temporal trends analyzed through correlation. Subgroup analysis was undertaken for age groups (0-6, 6-11, and 12-17 years of age), sex, and disease subtype. Choropleth maps were created for local districts. RESULTS: In total, 2497 pIBD cases were diagnosed between 2013 and 2022, with a mean age of 12.6 years (38.7% female). Diagnosis numbers increased from 187 to 376, with corresponding incidence rates of 6.0 per 100 000 population per year (2013) to 12.4 per 100 000 population per year (2022) (b = 0.918, P < .01). Female rates increased from 5.1 per 100 000 population per year in 2013 to 11.0 per 100 000 population per year in 2022 (b = 0.865, P = .01). Male rates increased from 5.7 per 100 000 population per year to 14.4 per 100 000 population per year (b = 0.832, P = .03). Crohn's disease incidence increased from 3.1 per 100 000 population per year to 6.3 per 100 000 population per year (b = 0.897, P < .01). Ulcerative colitis increased from 2.3 per 100 000 population per year to 4.3 per 100 000 population per year (b = 0.813, P = .04). Inflammatory bowel disease unclassified also increased, from 0.6 per 100 000 population per year to 1.8 per 100 000 population per year (b = 0.851, P = .02). Statistically significant increases were seen in those ≥12 to 17 years of age, from 11.2 per 100 000 population per year to 24.6 per 100 000 population per year (b = 0.912, P < .01), and the 7- to 11-year-old age group, with incidence rising from 4.4 per 100 000 population per year to 7.6 per 100 000 population per year (b = 0.878, P = .01). There was no statistically significant increase in very early onset inflammatory bowel disease (≤6 years of age) (b = 0.417, P = .231). CONCLUSIONS: We demonstrate significant increases in pIBD incidence across a large geographical area including multiple referral centers. Increasing incidence has implications for service provision for services managing pIBD.

Incidence of inflammatory bowel disease continues to increase in childhood, particularly in older children. This is demonstrated in a contemporary dataset collected over a 10-year period, and covering an at-risk population of nearly 3 000 000. These data have significant implications for service provision.

A gene pathogenicity tool "GenePy" identifies missed biallelic diagnoses in the 100,000 Genomes Project.

PURPOSE: The 100,000 Genomes Project diagnosed a quarter of affected participants, but 26% of diagnoses were not on the applied gene panel(s); with many being de novo variants. Assessing biallelic variants without a gene panel is more challenging. METHODS: We sought to identify missed biallelic diagnoses using GenePy, which incorporates allele frequency, zygosity, and a user-defined deleterious metric, generating an aggregate GenePy score per gene, per participant. We calculated GenePy scores for 2862 recessive disease genes in 78,216 100,000 Genomes Project participants. For each gene, we ranked participant GenePy scores and scrutinized affected participants without a diagnosis, whose scores ranked among the top 5 for each gene. In cases which participant phenotypes overlapped with the disease gene of interest, we extracted rare variants and applied phase, ClinVar, and ACMG classification. RESULTS: 3184 affected individuals without a molecular diagnosis had a top-5-ranked GenePy score and 682 of 3184 (21%) had phenotypes overlapping with a top-ranking gene. In 122 of 669 (18%) phenotype-matched cases (excluding 13 withdrawn participants), we identified a putative missed diagnosis (2.2% of all undiagnosed participants). A further 334 of 669 (50%) cases have a possible missed diagnosis but require functional validation. CONCLUSION: Applying GenePy at scale has identified 456 potential diagnoses, demonstrating the value of novel diagnostic strategies.

Improved clinical outcomes with early anti-tumour necrosis factor alpha therapy in children with newly diagnosed Crohn's disease: real world data from the international prospective PIBD-SETQuality inception cohort study.

BACKGROUND & AIMS: Treatment guidelines for paediatric Crohn's disease (CD) suggest early use of anti-tumour necrosis factor alpha (anti-TNF) in high-risk individuals. The aim is to evaluate the effect of early anti-TNF in a real-world cohort. METHODS: Children with newly-diagnosed CD were prospectively recruited at 28 participating sites of the international observational PIBD-SETQuality study. Outcomes were compared at 3 months, 1 and 2 years between patients receiving early anti-TNF (<90 days after diagnosis) and those not receiving early anti-TNF. Outcomes included sustained steroid-free remission (SSFR) without treatment intensification (specified as SSFR*) and sustained steroid-free mild/inactive disease without treatment intensification (specified as SSFMI*). Penalised logistic regression model-based standardisation was applied to estimate the relative risks (RR) of early therapy on outcomes. RRs were estimated for high-risk and low-risk patients based on presence of predictors of poor outcome (POPOs) and disease activity at diagnosis. RESULTS: In total, 331 children (median age 13.9 years [IQR 12.2 - 15.3]) were enrolled, with 135 (41%) receiving early anti-TNF. At 1 year, patients on early anti-TNF had higher rates of SSFR* (30% vs. 14%, p<0.001) and SSFMI* (69% vs. 33%, p<0.001), with RRs of 2.95 (95%CI 1.63-5.36) and 4.67 (95%CI 2.46-8.87) respectively. At 1 year, the RRs for SSFMI* were higher, and statistically significant in high-risk patients, i.e. those with moderate/severe disease compared to mild/inactive disease at diagnosis (5.50 [95%CI 2.51-12.05]) vs. 2.91 [95%CI 0.92-9.11]), and those with any POPO compared to no POPO (5.05 [95%CI 2.45-10.43] vs. 3.41 [95%CI 0.54-21.7]). CONCLUSION: In this cohort of children with newly-diagnosed CD, early anti-TNF demonstrated superior effectiveness in high-risk patients.

Recent developments in the assessment and management of inflammatory bowel disease in childhood: a narrative review.

Background and Objective: The landscape of paediatric inflammatory bowel disease (pIBD) continues to evolve in an era of increasing incidence. There have been rapid developments in understanding, as we begin to perceive IBD as a spectrum of conditions, alongside advancements in monitoring and treatment. The objective of this article was to provide an overview of recent advances and challenges in the management of pIBD, with a focus on sustainable healthcare, personalised therapy, genomics, new drugs and avenues for future optimisation. Methods: We present a narrative review that synthesises and summarises recent research (2017-2022) related to pIBD. We undertook a structured search of the literature (PubMed and Medline) and additional articles were identified through manual searches of reference lists. Evidence tables were compiled for disease outcomes. Key Content and Findings: In this review we outline current practice, integrating clinical guidelines and contemporary research. We discuss initial investigations (including suggested threshold for paediatric faecal calprotectin), specialist investigations for disease monitoring [with reference to video capsule endoscopy (VCE) and therapeutic drug levels] and outline new and established treatment options. Biomarkers and genomic testing are examined as important tools for individualising care and identifying potential therapeutic targets, including for top-down therapy. Despite these advances, significant challenges remain, including the need for further research to understand the mechanisms of disease and the translation of these advances into real-world improvements in practice. Conclusions: Recent advances in understanding of the pathogenesis of pIBD, alongside genomic and pharmacological developments have added more tools to the armamentarium for the treatment of these conditions and highlighted ongoing areas of research need.

Supervised Machine Learning Classifies Inflammatory Bowel Disease Patients by Subtype Using Whole Exome Sequencing Data.

BACKGROUND: Inflammatory bowel disease [IBD] is a chronic inflammatory disorder with two main subtypes: Crohn's disease [CD] and ulcerative colitis [UC]. Prompt subtype diagnosis enables the correct treatment to be administered. Using genomic data, we aimed to assess machine learning [ML] to classify patients according to IBD subtype. METHODS: Whole exome sequencing [WES] from paediatric/adult IBD patients was processed using an in-house bioinformatics pipeline. These data were condensed into the per-gene, per-individual genomic burden score, GenePy. Data were split into training and testing datasets [80/20]. Feature selection with a linear support vector classifier, and hyperparameter tuning with Bayesian Optimisation, were performed [training data]. The supervised ML method random forest was utilised to classify patients as CD or UC, using three panels: 1] all available genes; 2] autoimmune genes; 3] 'IBD' genes. ML results were assessed using area under the receiver operating characteristics curve [AUROC], sensitivity, and specificity on the testing dataset. RESULTS: A total of 906 patients were included in analysis [600 CD, 306 UC]. Training data included 488 patients, balanced according to the minority class of UC. The autoimmune gene panel generated the best performing ML model [AUROC = 0.68], outperforming an IBD gene panel [AUROC = 0.61]. NOD2 was the top gene for discriminating CD and UC, regardless of the gene panel used. Lack of variation in genes with high GenePy scores in CD patients was the best classifier of a diagnosis of UC. DISCUSSION: We demonstrate promising classification of patients by subtype using random forest and WES data. Focusing on specific subgroups of patients, with larger datasets, may result in better classification.

A gene pathogenicity tool 'GenePy' identifies missed biallelic diagnoses in the 100,000 Genomes Project.

The 100,000 Genomes Project (100KGP) diagnosed a quarter of recruited affected participants, but 26% of diagnoses were in genes not on the chosen gene panel(s); with many being de novo variants of high impact. However, assessing biallelic variants without a gene panel is challenging, due to the number of variants requiring scrutiny. We sought to identify potential missed biallelic diagnoses independent of the gene panel applied using GenePy - a whole gene pathogenicity metric. GenePy scores all variants called in a given individual, incorporating allele frequency, zygosity, and a user-defined deleterious metric (CADD v1.6 applied herein). GenePy then combines all variant scores for individual genes, generating an aggregate score per gene, per participant. We calculated GenePy scores for 2862 recessive disease genes in 78,216 individuals in 100KGP. For each gene, we ranked participant GenePy scores for that gene, and scrutinised affected individuals without a diagnosis whose scores ranked amongst the top-5 for each gene. We assessed these participants' phenotypes for overlap with the disease gene associated phenotype for which they were highly ranked. Where phenotypes overlapped, we extracted rare variants in the gene of interest and applied phase, ClinVar and ACMG classification looking for putative causal biallelic variants. 3184 affected individuals without a molecular diagnosis had a top-5 ranked GenePy gene score and 682/3184 (21%) had phenotypes overlapping with one of the top-ranking genes. After removing 13 withdrawn participants, in 122/669 (18%) of the phenotype-matched cases, we identified a putative missed diagnosis in a top-ranked gene supported by phasing, ClinVar and ACMG classification. A further 334/669 (50%) of cases have a possible missed diagnosis but require functional validation. Applying GenePy at scale has identified potential diagnoses for 456/3183 (14%) of undiagnosed participants who had a top-5 ranked GenePy score in a recessive disease gene, whilst adding only 1.2 additional variants (per individual) for assessment.

The Pediatric Crohn Disease Morbidity Index (PCD-MI): Development of a Tool to Assess Long-Term Disease Burden Using a Data-Driven Approach.

BACKGROUND/OBJECTIVE: Heterogeneity and chronicity of Crohn disease (CD) make prediction of outcomes difficult. To date, no longitudinal measure can quantify burden over a patient's disease course, preventing assessment and integration into predictive modeling. Here, we aimed to demonstrate the feasibility of constructing a data driven, longitudinal disease burden score. METHODS: Literature was reviewed for tools used in assessment of CD activity. Themes were identified to construct a pediatric CD morbidity index (PCD-MI). Scores were assigned to variables. Data were extracted automatically from the electronic patient records at Southampton Children's Hospital, diagnosed from 2012 to 2019 (inclusive). PCD-MI scores were calculated, adjusted for duration of follow up and assessed for variation (ANOVA) and distribution (Kolmogorov-Smirnov). RESULTS: Nineteen clinical/biological features across five themes were included in the PCD-MI including blood/fecal/radiological/endoscopic results, medication usage, surgery, growth parameters, and extraintestinal manifestations. Maximal score was 100 after accounting for follow-up duration. PCD-MI was assessed in 66 patients, mean age 12.5 years. Following quality filtering, 9528 blood/fecal test results and 1309 growth measures were included. Mean PCD-MI score was 14.95 (range 2.2-32.5); data were normally distributed ( P = 0.2) with 25% of patients having a PCD-MI < 10. There was no difference in the mean PCD-MI when split by year of diagnosis, F -statistic 1.625, P = 0.147. CONCLUSIONS: PCD-MI is a calculatable measure for a cohort of patients diagnosed over an 8-year period, integrating a wide-range of data with potential to determine high or low disease burden. Future iterations of the PCD-MI require refinement of included features, optimized scores, and validation on external cohorts.

A scoping review: urinary markers of metabolic maturation in infants with CHD and the relationship to growth.

BACKGROUND: Growth failure in infants born with CHD is a persistent problem, even in those provided with adequate nutrition. OBJECTIVE: To summarise the published data describing the change in urinary metabolites during metabolic maturation in infants with CHD and identify pathways amenable to therapeutic intervention. DESIGN: Scoping review. ELIGIBILITY CRITERIA: Studies using qualitative or quantitative methods to describe urinary metabolites pre- and post-cardiac surgery and the relationship with growth in infants with CHD. SOURCES OF EVIDENCE: NICE Healthcare Databases website was used as a tool for multiple searches. RESULTS: 347 records were identified, of which 37 were duplicates. Following the removal of duplicate records, 310 record abstracts and titles were screened for inclusion. The full texts of eight articles were reviewed for eligibility, of which only two related to infants with CHD. The studies included in the scoping review described urinary metabolites in 42 infants. A content analysis identified two overarching themes of metabolic variation predictive of neurodevelopmental abnormalities associated with anaerobic metabolism and metabolic signature associated with the impact on gut microbiota, inflammation, energy, and lipid digestion. CONCLUSION: The results of this scoping review suggest that there are considerable gaps in our knowledge relating to metabolic maturation of infants with CHD, especially with respect to growth. Surgery is a key early life feature for CHD infants and has an impact on the developing biochemical phenotype with implications for metabolic pathways involved in immunomodulation, energy, gut microbial, and lipid metabolism. These early life fingerprints may predict those individuals at risk for neurodevelopmental abnormalities.

Using machine learning to impact on long-term clinical care: principles, challenges, and practicalities.

The rise of machine learning in healthcare has significant implications for paediatrics. Long-term conditions with significant disease heterogeneity comprise large portions of the routine work performed by paediatricians. Improving outcomes through discovery of disease and treatment prediction models, alongside novel subgroup clustering of patients, are some of the areas in which machine learning holds significant promise. While artificial intelligence has percolated into routine use in our day to day lives through advertising algorithms, song or movie selections and sifting of spam emails, the ability of machine learning to utilise highly complex and dimensional data has not yet reached its full potential in healthcare. In this review article, we discuss some of the foundations of machine learning, including some of the basic algorithms. We emphasise the importance of correct utilisation of machine learning, including adequate data preparation and external validation. Using nutrition in preterm infants and paediatric inflammatory bowel disease as examples, we discuss the evidence and potential utility of machine learning in paediatrics. Finally, we review some of the future applications, alongside challenges and ethical considerations related to application of artificial intelligence. IMPACT: Machine learning is a widely used term; however, understanding of the process and application to healthcare is lacking. This article uses clinical examples to explore complex machine learning terms and algorithms. We discuss limitations and potential future applications within paediatrics and neonatal medicine.

NOD2 in Crohn's Disease-Unfinished Business.

Studies of Crohn's disease have consistently implicated NOD2 as the most important gene in disease pathogenesis since first being identified in 2001. Thereafter, genome-wide association, next-generation sequencing and functional analyses have all confirmed a key role for NOD2, but despite this, NOD2 also has significant unresolved complexity. More recent studies have reinvigorated an early hypothesis that NOD2 may be a single-gene cause of disease, and the distinct ileal stricturing phenotype seen with NOD2-related disease presents an opportunity for personalized diagnosis, disease prediction and targeted therapy. The genomics of NOD2 has much that remains unknown, including the role of rare variation, phasing of variants across the haplotype block and the role of variation in the NOD2-regulatory regions. Here, we discuss the evidence and the unmet needs of NOD2 research, based on recently published evidence, and suggest methods that may meet these requirements.

Prediction of Crohn's Disease Stricturing Phenotype Using a NOD2-derived Genomic Biomarker.

BACKGROUND: Crohn's disease (CD) is highly heterogenous and may be complicated by stricturing behavior. Personalized prediction of stricturing will inform management. We aimed to create a stricturing risk stratification model using genomic/clinical data. METHODS: Exome sequencing was performed on CD patients, and phenotype data retrieved. Biallelic variants in NOD2 were identified. NOD2 was converted into a per-patient deleteriousness metric ("GenePy"). Using training data, patients were stratified into risk groups for fibrotic stricturing using NOD2. Findings were validated in a testing data set. Models were modified to include disease location at diagnosis. Cox proportional hazards assessed performance. RESULTS: Six hundred forty-five patients were included (373 children and 272 adults); 48 patients fulfilled criteria for monogenic NOD2-related disease (7.4%), 24 of whom had strictures. NOD2 GenePy scores stratified patients in training data into 2 risk groups. Within testing data, 30 of 161 patients (18.6%) were classified as high-risk based on the NOD2 biomarker, with stricturing in 17 of 30 (56.7%). In the low-risk group, 28 of 131 (21.4%) had stricturing behavior. Cox proportional hazards using the NOD2 risk groups demonstrated a hazard ratio (HR) of 2.092 (P = 2.4 × 10-5), between risk groups. Limiting analysis to patients diagnosed aged < 18-years improved performance (HR-3.164, P = 1 × 10-6). Models were modified to include disease location, such as terminal ileal (TI) disease or not. Inclusion of NOD2 risk groups added significant additional utility to prediction models. High-risk group pediatric patients presenting with TI disease had a HR of 4.89 (P = 2.3 × 10-5) compared with the low-risk group patients without TI disease. CONCLUSIONS: A NOD2 genomic biomarker predicts stricturing risk, with prognostic power improved in pediatric-onset CD. Implementation into a clinical setting can help personalize management.

NOD2 is a well-established risk gene for development of Crohn's disease and stricturing behavior. Here we demonstrate NOD2 can be utilized as a genomic biomarker, stratifying patients into 2 stricturing risk groups. Further refinement using disease location at diagnosis improved risk stratification.

A Scoping Review: Urinary Markers of Metabolic Maturation in Preterm Infants and Future Interventions to Improve Growth.

Background: Growth failure in infants born preterm is a significant issue, increasing the risk of poorer neurodevelopmental outcomes and metabolic syndrome later in life. During the first 1000 days of life biological systems mature rapidly involving developmental programming, cellular senescence, and metabolic maturation, regulating normal growth and development. However, little is known about metabolic maturation in infants born preterm and the relationship with growth. Objective: To examine the available evidence on urinary markers of metabolic maturation and their relationship with growth in infants born preterm. Eligibility criteria: Studies including in this scoping review using qualitative or quantitative methods to describe urinary markers of metabolic maturation and the relationship with growth in infants born preterm. Results: After a screening process 15 titles were included in this review, from 1998-2021 drawing from China (n = 1), Italy (n = 3), Germany (n = 3), Greece (n = 1), Japan (n = 2), Norway (n = 1), Portugal (n = 1), Spain (n = 2) and USA (n = 1). The included studies examined urinary metabolites in 1131 infants. A content analysis identified 4 overarching themes relating to; (i) metabolic maturation relative to gestational age, (ii) metabolic signature and changes in urinary metabolites over time, (iii) nutrition and (iv) growth. Conclusion: The results of this scoping review suggest there are considerable gaps in our knowledge relating to factors associated with metabolic instability, what constitutes normal maturation of preterm infants, and how the development of reference phenome age z scores for metabolites of interest could improve nutritional and growth outcomes.

Evidence of a genetically driven metabolomic signature in actively inflamed Crohn's disease.

Crohn's disease (CD) is characterised by chronic inflammation. We aimed to identify a relationship between plasma inflammatory metabolomic signature and genomic data in CD using blood plasma metabolic profiles. Proton NMR spectroscopy were achieved for 228 paediatric CD patients. Regression (OPLS) modelling and machine learning (ML) approaches were independently applied to establish the metabolic inflammatory signature, which was correlated against gene-level pathogenicity scores generated for all patients and functional enrichment was analysed. OPLS modelling of metabolomic spectra from unfasted patients revealed distinctive shifts in plasma metabolites corresponding to regions of the spectrum assigned to N-acetyl glycoprotein, glycerol and phenylalanine that were highly correlated (R2 = 0.62) with C-reactive protein levels. The same metabolomic signature was independently identified using ML to predict patient inflammation status. Correlation of the individual peaks comprising this metabolomic signature of inflammation with pathogenic burden across 15,854 unselected genes identified significant enrichment for genes functioning within 'intrinsic component of membrane' (p = 0.003) and 'inflammatory bowel disease (IBD)' (p = 0.003). The seven genes contributing IBD enrichment are critical regulators of pro-inflammatory signaling. Overall, a metabolomic signature of inflammation can be detected from blood plasma in CD. This signal is correlated with pathogenic mutation in pro-inflammatory immune response genes.

Incidence and Prevalence of Paediatric Inflammatory Bowel Disease Continues to Increase in the South of England.

OBJECTIVE: The incidence of paediatric inflammatory bowel disease (IBD) has been increasing over 25 years; however, contemporary trends are not established and the impact of COVID-19 on case rates is unclear. METHODS: Data from Southampton Children's hospital prospective IBD database were retrieved for 2002-2021. Incidence rates were calculated based on referral area populations and temporal trends analysed. Disease prevalence for those aged <18 years was calculated for 2017-2021. Monoclonal prescriptions were reported. RESULTS: In total, 1150 patients were included (mean age at diagnosis 12.63 years, 40.5% female). An estimated 704 patients had Crohn's disease (61.2%), 385 had ulcerative colitis (33.5%), and 61 had IBD unclassified (5.3%). Overall IBD incidence increased, ß = 0.843, P = 3 × 10 -6 , driven by Crohn's disease, ß = 0.732, P = 0.00024 and ulcerative colitis, ß = 0.816, P = 0.000011. There was no change in IBDU incidence, ß = 0.230, P = 0.33. From 2002-2021, 51 patients were diagnosed <6 years of age, 160 patients aged 6 to <10 years and 939 patients aged 10 to <18 years of age. Increased incidence was observed in patients aged 10 to <18 years of age (ß = 0.888, P = 1.8 × 10 -7 ). There was no significant change in incidence of IBD in <6 years (ß = 0.124, P = 0.57), or 6 to <10 years (ß = 0.146, P = 0.54). IBD prevalence increased by an average of 1.71%/year from 2017 to 2021, ß = 0.979, P = 0.004. The number of new monoclonal prescriptions increased from 6 in 2007 to 111 in 2021. CONCLUSIONS: IBD incidence continues to increase in Southern England. Compounding prevalence and increased monoclonal usage has implications for service provision.

The Influence of the Introduction of Biologic Agents on Surgical Intervention in Paediatric Inflammatory Bowel Disease.

OBJECTIVES: To determine how the use of biological therapy is associated with surgical intervention for paediatric inflammatory bowel disease (PIBD) at a population level. METHODS: Hospital Episode Statistics data were obtained for all admissions within England (1997-2015), in children aged 0-18 years, with an ICD-10 code for diagnosis of Crohn disease (CD), ulcerative colitis (UC), or inflammatory bowel disease-unclassified (IBD-U). Office of Population Censuses and Surveys Classification of Surgical Operations and Procedures codes for major surgical resection associated with PIBD and for biological therapy were also obtained. Data are presented as median values (interquartile range). RESULTS: In total, 22,645 children had a diagnosis of PIBD of which 13,722 (61%) had CD, 7604 (34%) had UC, and 1319 (5.8%) cases had IBD-U. Biological therapy was used in 4054 (17.9%) cases. Surgical resection was undertaken in 3212 (14%) cases, more commonly for CD than UC (17.5 vs 10.3%, P < 0.0001). Time from diagnosis to major surgical resection was 8.3 (1.2-28.2) months in CD and 8.2 (0.8-21.3) months in UC. As the time-frame of the dataset progressed, there was a decreased rate of surgical intervention ( P = 0.04) and an increased use of biological therapy ( P < 0.0001). Additionally, the number of new diagnoses of PIBD increased. CONCLUSIONS: The introduction of biologic agents has been associated with a reduction in cases undergoing surgery in children with a known diagnosis of PIBD. As time progresses we will be able to determine whether biological therapies prevent the need for surgery altogether or just delay this until adulthood.

Deleterious Genetic Variation Across the NOD Signaling Pathway Is Associated With Reduced NFKB Signaling Transcription and Upregulation of Alternative Inflammatory Transcripts in Pediatric Inflammatory Bowel Disease.

BACKGROUND: Inflammatory bowel disease may arise with inadequate immune response to intestinal bacteria. NOD2 is an established gene in Crohn's disease pathogenesis, with deleterious variation associated with reduced NFKB signaling. We hypothesized that deleterious variation across the NOD2 signaling pathway impacts on transcription. METHODS: Treatment-naïve pediatric inflammatory bowel disease patients had ileal biopsies for targeted autoimmune RNA-sequencing and blood for whole exome sequencing collected at diagnostic endoscopy. Utilizing GenePy, a per-individual, per-gene score, genes within the NOD signaling pathway were assigned a quantitative score representing total variant burden. Where multiple genes formed complexes, GenePy scores were summed to create a "complex" score. Normalized transcript expression of 95 genes within this pathway was retrieved. Regression analysis was performed to determine the impact of genomic variation on gene transcription. RESULTS: Thirty-nine patients were included. Limited clustering of patients based on NOD signaling transcripts was related to underlying genomic variation. Patients harboring deleterious variation in NOD2 had reduced NOD2 (ß = -0.702, P = 4.3 × 10-5) and increased NFKBIA (ß = 0.486, P = .001), reflecting reduced NFKB signal activation. Deleterious variation in the NOD2-RIPK2 complex was associated with increased NLRP3 (ß = 0.8, P = 3.1475 × 10-8) and TXN (ß = -0.417, P = 8.4 × 10-5) transcription, components of the NLRP3 inflammasome. Deleterious variation in the TAK1-TAB complex resulted in reduced MAPK14 transcription (ß = -0.677, P = 1.7 × 10-5), a key signal transduction protein in the NOD2 signaling cascade and increased IFNA1 (ß = 0.479, P = .001), indicating reduced transcription of NFKB activators and alternative interferon transcription in these patients. CONCLUSIONS: Data integration identified perturbation of NOD2 signaling transcription correlated with genomic variation. A hypoimmune NFKB signaling transcription response was observed. Alternative inflammatory pathways were activated and may represent therapeutic targets in specific patients.

Temporal trends in ileoanal pouch surgery for paediatric onset ulcerative colitis in England from 1997 to 2015 using hospital episode statistics.

INTRODUCTION: Ileal pouch-anal anastomosis (IPAA) following colectomy for ulcerative colitis (UC) achieves restoration of intestinal continuity with potential return of continence. It is undertaken relatively infrequently in children. We aimed to investigate the national frequency of IPAA in paediatric UC and report outcomes useful for surgeon/centre benchmarking. METHODS: Hospital Episode Statistics data were obtained for all admissions in England (1997-2015) in children (< 18 years) who underwent IPAA for UC using OPCS-4 procedural codes. Surgeon specialty, readmission, and reoperation rates were identified. Data are median (interquartile range). RESULTS: UC was diagnosed in 7604 children in whom 346 (4.6%) underwent IPAA at age 15 [13-17] years. Laparoscopy was used in 55 (15.9%) cases and in the most recent 10 years more commonly by specialist paediatric surgeons (SPS) than general surgeons (GS) (34.3%vs14.7%, p = 0.001). National frequency of IPAA ranged from 12 to 34 annually. Where specialty was available, 95/342 (57%) cases were undertaken by GS and 147/342 (43%) cases by SPS. The proportion of cases undertaken by SPS increased significantly compared to GS over the study period, p = 0.0003. Post-operative length of stay was 8 [6-11] days. During the index admission, unplanned return to theatre was required in 25/346 (7.2%). Following discharge 58 (16.8%) were readmitted within 30 days. Overall return to theatre rate within 30 days of pouch surgery was 11.0% (38/346). CONCLUSION: IPAA for UC within childhood is undertaken infrequently in England, with a shift towards SPS undertaking surgery. These data can be used by surgeons to benchmark outcomes. LEVEL OF EVIDENCE: IV.