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We report a case of fulminant Crohn's colitis that occurred following non-myeloablative allogeneic stem cell transplantation for Hodgkin's lymphoma. Adoptive transfer of inflammatory bowel disease by haematopoietic cells is recognised [...]

Background and aims: Recent molecular data suggest that genetic factors may underlie the disease heterogeneity observed in both ulcerative colitis (UC) and Crohn's disease (CD). A locus on chromosome 5q [...]

T. Ahmad [1] M. Bunce [2] J. Crawshaw [1] K. Mulcahy-Hawes [1] O. Large [1] M. Barnardo [2] J. Cook [2] K. Welsh [3] D.P. Jewell [1] (1.) Depts of [...]

T.R. Orchard [1,2] T. Ahmad [1] K.I. Welsh [1] D.P. Jewell [1] (1.) Gastroenterology Unit & Transplant Immunology, University of Oxford; (2.) Dept of Gastroenterology, St Mary's Hospital, London, UK [...]

D.P.B. McGovern [1] D.A. van Heel [1] B. Dechairo [2] T. Ahmad [1] N.J. Lench [2] D.P. Jewell [1] (1.) Wellcome Trust Centre for Human Genetics and Gastroenterology Unit, University [...]

Backgrounds: Linkage of Crohn's disease (CD) to chromosome 19p13 has been identified in a Canadian IBD population and confirmed in British Caucasians. EMR3 maps to this region, belongs to a [...]

Background: Meprin α is an endopeptidase from intestinal epithelial cells that accumulates at the brush border membrane and is also secreted into the gut lumen. In the small intestine, meprin [...]

Background: Previous studies have demonstrated an association between susceptibility to primary sclerosing cholangitis (PSC) and alleles on the classical autoimmune haplotype including the TNF promoter polymorphism TNF-308A. This study was designed to examine the association of PSC with 5 other polymorphic sites in the TNF promoter region. Methods: 100 patients with accurately characterised PSC, and 357 healthy controls were studied. Genotyping of 6 TNF promoter polymorphisms and high resolution class I and class Il HLA typing was carried out using PCR-SSP. SNPs within the TNF gene were constructed into gene haplotypes using the statistical computer software, PHASE. Analysis was carried out using a Chi-squared test with a Bonferroni correction factor of 7.Results: See Table. Conclusion: PSC is associated with TNF haplotype 2. This contains the variant allele -308A, which has previously been described in association with PSC. This allele is found on the highly conserved autoimmune haplotype A1 B8 DR3. An association between TNF -308A and PSC independent of other alleles on this haplotype was not found. Dissecting out the primary associated allele requires the study of a greater number of informative recombinant haplotypes which can only be achieved by much larger international collaborative studies. [ABSTRACT FROM AUTHOR]

Introduction: There has been much interest in the role of the innate immune system in inflammatory rheumatological conditions. CARD15 plays an important role in triggering an immune response to bacterial LPS, and polymorphisms in this gene are associated with Crohn's disease (CD). We have previously shown a genetic predisposition to ElMs, and have demonstrated abnormalities in the humoral immune response to enterobacteria in patients with arthritis associated with IBD. This study was performed to investigate whether polymorphisms in the CARD15 gene are associated with the presence of ElMs in IBD. Methods: DNA was obtained from 104 patients who had suffered Type 1 or Type 2 peripheral arthritis, erythema nodosum (EN) or uveitis (60 Crohn's disease and 44 ulcerative colitis). Genotyping for the 3 common po ymorphisms of CARD15 (Arg702Trp, Gly908Arg, and Leu1007fsinsC) was undertaken by SSP PCR, and allele frequencies were compared with 354 healthy controls and 244 CD patients. Results: Allele frequencies (%) are shown in the table below: ElMs were significantly associated with CARD15 polymorphisms, when compared to controls, particularly type 1 arthritis and EN. Further analysis was undertaken by IBD diagnosis, and the association between CARD15 polymorphisms and ElMs was seen in both UC and Crohn's patients. Discussion: CARD15 polymorphisms may be important in determining the ElMs of IBD, suggesting that bacteria may trigger them. Further studies are required to confirm these associations, and to investigate the interaction with previously described HLA associations. [ABSTRACT FROM AUTHOR]

Background: Behcet's disease (BD) is a chronic multi-system inflammatory disorder characterized by recurrent oral and genital inflammation, uveitis and pathergy. Reports of an association between HIV-I infection and BD suggest that retroviruses may play a role in the pathogenesis of this disease. Chemokine receptor CCR5 acts as a co-receptor permitting entry of the HIV-1 virus into CD4-positive T cells. Here we investigate whether a 32bp deletion of this gene (CCR5 832), implicated in susceptibility to, and progression of, HIV disease, is associated with BD. Methods: We studied 350 BD patients and 559 healthy ethnically matched controls recruited from 3 ethnic groups (Turkish: 109 BD, 96 controls; Palestinian 100 BD, 98 controls; UK white Caucasian: 131 BD, 365 controls). Genotyping for the CCR5 δ32 deletion was perfomed using PCR-SSP. Data were stratified by the presence of HLAB[sup *]51, an allele previously shown to be associated with BD in the 3 ethnic groups. Results: The CCR5 832 allele was significantly more common in UK white Caucasians than in either the Turkish or Palestinian cohorts (control allele frequency 14.2%, 4.2% and 0.5% respectively: P<1×10[sup 8]). No association was found with the CCR5 832 allele and BD in any of the three cohorts, even when stratified by the BD associated allele HLA-B[sup *]51. Conclusions: The CCR5 δ32 allele is common in UK white Caucasians but rare in both Turkish and Palestinian populations. The CCR5 δ32 allele is not associated with Behcet's disease in white UK Caucasians, Turkish, or Palestinian populations. [ABSTRACT FROM AUTHOR]

Background: The identification of NOD2(CARD15) as a susceptibility gene for Crohn's disease (CD) confirms the role of innate immunity in IBD. More recently a haplotype at IBD5 (Ch 5) has shown association with CD. Aims: To identify and test innate immunity single nucleotide polymorphisms (SNPs) for association with IBD. Methods: Interesting (positional and functional) SNPs were identified from databases or by direct sequencing. A two-stage approach was adopted to overcome problems of multiple testing. Stage 1: Casecontrol analysis (191 CD, 247 ulcerative colitis (UC) and 240 controls (HC)). Stage 2: Positive results from stage 1 to be confirmed by the transmission-disequilibrium test (TDT) (556 IBD (294 CD and 252 UC) trios). AIl results were stratified by phenotype and NOD2/IBD5 geno. Results: Case-control analysis (all % allele frequency (p value)): Toll-like receptor (TLR) 2, 3 intronic SNPs and 1 microsatellite marker, no IBD association. TLR2 'bacterial hyporesponsive' SNP (R753Q), HC 4.0, IBD 2.5 (0.13), UC 2.4 (0.12) and CD 2.6 (0.25). Fulminant UC requiring surgery (130 cases) 4.3%, 'mild' UC not requiring surgery (135 cases) 0.4% (0.0032)(OR 0.08). TLR4 SNP (bronchial hypo-responsiveness) HC 4.4, CD 3.1 (0.34) and UC (4.9 (0.71). Two novel MAL (TIRAP) SNPs, 4 novel Triggering receptor expressed on myeloid cells -1 (TREM-1) SNPs, TLR9 SNP, 4 P2X7 SNPs, and lactoferrin SNP, all-no association seen with any IBD geno- or phenotype. TDT analysis (transmissions/non-transmissions): TLR4 SNP (A896G): IBD 64/44 (0.054), UC 11/11, CD 36/23 (0.098), CD NOD2 negative 28/18 (0.14). Conclusions: These innate immunity SNPs are not significantly associated with IBD. The colectomy, non-colectomy TLR2 association suggests that intact innate immunity is needed for the development of fulminant UC. Studies of other SNPs in the innate immune system and their role in IBD are warranted. [ABSTRACT FROM AUTHOR]

Objective: Antitumour necrosis factor (TNF) drugs impair serological responses following SARS-CoV-2 vaccination. We sought to assess if a third dose of a messenger RNA (mRNA)-based vaccine substantially boosted anti-SARS-CoV-2 antibody responses and protective immunity in infliximab-treated patients with IBD., Design: Third dose vaccine induced anti-SARS-CoV-2 spike (anti-S) receptor-binding domain (RBD) antibody responses, breakthrough SARS-CoV-2 infection, reinfection and persistent oropharyngeal carriage in patients with IBD treated with infliximab were compared with a reference cohort treated with vedolizumab from the impaCt of bioLogic therApy on saRs-cov-2 Infection and immuniTY (CLARITY) IBD study., Results: Geometric mean (SD) anti-S RBD antibody concentrations increased in both groups following a third dose of an mRNA-based vaccine. However, concentrations were lower in patients treated with infliximab than vedolizumab, irrespective of whether their first two primary vaccine doses were ChAdOx1 nCoV-19 (1856 U/mL (5.2) vs 10 728 U/mL (3.1), p<0.0001) or BNT162b2 vaccines (2164 U/mL (4.1) vs 15 116 U/mL (3.4), p<0.0001). However, no differences in anti-S RBD antibody concentrations were seen following third and fourth doses of an mRNA-based vaccine, irrespective of the combination of primary vaccinations received. Post-third dose, anti-S RBD antibody half-life estimates were shorter in infliximab-treated than vedolizumab-treated patients (37.0 days (95% CI 35.6 to 38.6) vs 52.0 days (95% CI 49.0 to 55.4), p<0.0001).Compared with vedolizumab-treated, infliximab-treated patients were more likely to experience SARS-CoV-2 breakthrough infection (HR 2.23 (95% CI 1.46 to 3.38), p=0.00018) and reinfection (HR 2.10 (95% CI 1.31 to 3.35), p=0.0019), but this effect was uncoupled from third vaccine dose anti-S RBD antibody concentrations. Reinfection occurred predominantly during the Omicron wave and was predicted by SARS-CoV-2 antinucleocapsid concentrations after the initial infection. We did not observe persistent oropharyngeal carriage of SARS-CoV-2. Hospitalisations and deaths were uncommon in both groups., Conclusions: Following a third dose of an mRNA-based vaccine, infliximab was associated with attenuated serological responses and more SARS-CoV-2 breakthrough infection and reinfection which were not predicted by the magnitude of anti-S RBD responses, indicative of vaccine escape by the Omicron variant., Trial Registration Number: ISRCTN45176516., Competing Interests: Competing interests: NAK reports grants from F. Hoffmann-La Roche, grants from Biogen, grants from Celltrion Healthcare, grants from Galapagos, non-financial support from Immundiagnostik, during the conduct of the study; grants and non-financial support from AbbVie, grants and personal fees from Celltrion, personal fees and non-financial support from Janssen, personal fees from Takeda, personal fees and non-financial support from Dr Falk Pharma, outside the submitted work. SL reports non-financial support from Pfizer, non-financial support from Ferring, outside the submitted work. LWH declares an interest in SENISCA as founder and Chief Scientific Officer. KBK reports personal fees from Janssen, personal fees from Takeda, personal fees from PredictImmune, personal fees from Amgen, outside the submitted work. CAL reports grants from Genentech, grants and personal fees from Janssen, grants and personal fees from Takeda, grants from AbbVie, personal fees from Ferring, grants from Eli Lilly, grants from Pfizer, grants from Roche, grants from UCB Biopharma, grants from Sanofi Aventis, grants from Biogen IDEC, grants from Orion OYJ, personal fees from Dr Falk Pharma, grants from AstraZeneca, outside the submitted work. PJS reports speaker fees and advisory board sponsorship from Janssen, Celltrion, AbbVie, Tillotts Pharma, Galapagos, Amgen, Dr Falk Pharma and Takeda outside the submitted work. AH reports personal fees from AbbVie, personal fees from Allergan, personal fees from BMS, personal fees from Celltrion, personal fees from Dr Falk Pharma, personal fees from GSK, personal fees from Takeda, personal fees from Pfizer, personal fees from Janssen, personal fees from Galapogos, personal fees from AstraZeneca, outside the submitted work. RCP reports acting as consultant, advisory board member, speaker or recipient of educational grant from Dr Falk Pharma, Ferring, Janssen, Pharmacosmos and Takeda, outside the submitted work. CWL reports personal fees from AbbVie, personal fees from Janssen, personal fees from Pfizer, personal fees from Takeda, grants from Gilead, personal fees from Gilead, personal fees from Galapagos, personal fees from Iterative Scopes, personal fees from Trellus Health, personal fees from Celltion, personal fees from Ferring, personal fees from BMS, during the conduct of the study. RB and DA are members of the Global T cell Expert Consortium and have consulted for Oxford Immunotec outside the submitted work. SS reports grants from Takeda, AbbVie, Amgen, Tillots Pharma, personal fees from Jaansen, Takeda, Galapagos, Celltrion, Dr Falk Pharma, Tillots Pharma, Cellgene, Pfizer, Pharmacocosmos, outside the submitted work. NP reports personal fees from Takeda, personal fees from Janssen, personal fees from Pfizer, personal fees from Bristol-Myers Squibb, personal fees from AbbVie, personal fees from Roche, personal fees from Lilly, personal fees from Allergan, personal fees from Celgene, outside the submitted work; and NP has served as a speaker/advisory board member for AbbVie, Allergan, Bristol-Myers Squibb, Celgene, Dr Falk Pharma, Ferring, Janssen, Pfizer, Tillotts Pharma, Takeda and Vifor Pharma. JRG reports grants from F. Hoffmann-La Roche, grants from Biogen, grants from Celltrion Healthcare, grants from Galapagos, non-financial support from Immundiagnostik, during the conduct of the study. TA reports grants and non-financial support from F. Hoffmann-La Roche, grants from Biogen, grants from Celltrion Healthcare, grants from Galapagos, non-financial support from Immundiagnostik, during the conduct of the study; personal fees from Biogen, grants and personal fees from Celltrion Healthcare, personal fees and non-financial support from Immundiagnostik, personal fees from Takeda, personal fees from ARENA, personal fees from Gilead, personal fees from Adcock Ingram Healthcare, personal fees from Pfizer, personal fees from Genentech, non-financial support from Tillotts Pharma, outside the submitted work., (© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)

Objective: Delayed second dose SARS-CoV-2 vaccination trades maximal effectiveness for a lower level of immunity across more of the population. We investigated whether patients with inflammatory bowel disease treated with infliximab have attenuated serological responses to a single dose of a SARS-CoV-2 vaccine., Design: Antibody responses and seroconversion rates in infliximab-treated patients (n=865) were compared with a cohort treated with vedolizumab (n=428), a gut-selective anti-integrin α4β7 monoclonal antibody. Our primary outcome was anti-SARS-CoV-2 spike (S) antibody concentrations, measured using the Elecsys anti-SARS-CoV-2 spike (S) antibody assay 3-10 weeks after vaccination, in patients without evidence of prior infection. Secondary outcomes were seroconversion rates (defined by a cut-off of 15 U/mL), and antibody responses following past infection or a second dose of the BNT162b2 vaccine., Results: Geometric mean (SD) anti-SARS-CoV-2 antibody concentrations were lower in patients treated with infliximab than vedolizumab, following BNT162b2 (6.0 U/mL (5.9) vs 28.8 U/mL (5.4) p<0.0001) and ChAdOx1 nCoV-19 (4.7 U/mL (4.9)) vs 13.8 U/mL (5.9) p<0.0001) vaccines. In our multivariable models, antibody concentrations were lower in infliximab-treated compared with vedolizumab-treated patients who received the BNT162b2 (fold change (FC) 0.29 (95% CI 0.21 to 0.40), p<0.0001) and ChAdOx1 nCoV-19 (FC 0.39 (95% CI 0.30 to 0.51), p<0.0001) vaccines. In both models, age ≥60 years, immunomodulator use, Crohn's disease and smoking were associated with lower, while non-white ethnicity was associated with higher, anti-SARS-CoV-2 antibody concentrations. Seroconversion rates after a single dose of either vaccine were higher in patients with prior SARS-CoV-2 infection and after two doses of BNT162b2 vaccine., Conclusion: Infliximab is associated with attenuated immunogenicity to a single dose of the BNT162b2 and ChAdOx1 nCoV-19 SARS-CoV-2 vaccines. Vaccination after SARS-CoV-2 infection, or a second dose of vaccine, led to seroconversion in most patients. Delayed second dosing should be avoided in patients treated with infliximab., Trial Registration Number: ISRCTN45176516., Competing Interests: Competing interests: NAK reports grants from F. Hoffmann-La Roche AG, grants from Biogen Inc, grants from Celltrion Healthcare, grants from Galapagos NV, non-financial support from Immundiagnostik, during the conduct of the study; grants and non-financial support from AbbVie, grants and personal fees from Celltrion, personal fees and non-financial support from Janssen, personal fees from Takeda, personal fees and non-financial support from Dr Falk, outside the submitted work. SL reports non-financial support from Pfizer, non-financial support from Ferring, outside the submitted work. JRG reports grants from F. Hoffmann-La Roche AG, grants from Biogen, grants from Celltrion Healthcare, grants from Galapagos NV, non-financial support from Immundiagnostik, during the conduct of the study. DC reports non-financial support from Ferring, personal fees and non-financial support from Pfizer, outside the submitted work. JRFC reports grants and personal fees from Samsung, Pfizer & Biogen; personal fees and non-financial support from Janssen & Abbvie; grants, personal fees and non-financial support from Takeda; personal fees from MSD, Sandoz, Celltrion & NAPP, outside the submitted work. AF reports personal fees from Takeda UK Ltd, personal fees from Dr Falk Pharma, personal fees from Tillotts, personal fees from Abbvie Ltd, personal fees from Sheild, personal fees from Ferring, from Pharmacosmos, personal fees from Allergan, personal fees from Janssen, outside the submitted work. PMI reports grants and personal fees from Takeda, grants from MSD, grants and personal fees from Pfizer, personal fees from Galapagos, personal fees from Gilead, personal fees from Abbvie, personal fees from Janssen, personal fees from Boehringer Ingelheim, personal fees from Topivert, personal fees from VH2, personal fees from Celgene, personal fees from Arena, personal fees from Samsung Bioepis, personal fees from Sandoz, personal fees from Procise, personal fees from Prometheus, outside the submitted work. NK reports personal fees from Janssen, outside the submitted work. KBK reports personal fees from Janssen, personal fees from Takeda, personal fees from PredictImmune, personal fees from Amgen, outside the submitted work. CAL reports grants from Genentech, grants and personal fees from Janssen, grants and personal fees from Takeda, grants from AbbVie, personal fees from Ferring, grants from Eli Lilly, grants from Pfizer, grants from Roche, grants from UCB Biopharma, grants from Sanofi Aventis, grants from Biogen IDEC, grants from Orion OYJ, personal fees from Dr Falk Pharma, grants from AstraZeneca, outside the submitted work. JM reports grants and personal fees from Takeda Pharmaceuticals, grants and personal fees from Biogen, personal fees and non-financial support from AbbVie, personal fees from Grifols, personal fees from Sandoz, personal fees from Celltrion, personal fees and non-financial support from Janssen, personal fees from Vifor Pharmaceuticals, personal fees from Predictimmune, personal fees from Bristol Myers Squibb, non-financial support from Ferring Pharmaceuticals, outside the submitted work. RCGP reports acting as consultant, advisory board member, speaker or recipient of educational grant from Dr Falk, Ferring, Janssen, Pharmacosmos and Takeda. TR reports grants and personal fees from Abbvie, personal fees from BMS, personal fees from Celgene, personal fees from Ferring, personal fees from Gilead, personal fees from GSK, personal fees from LabGenius, personal fees from Janssen, personal fees from Mylan, personal fees from MSD, personal fees from Novartis, personal fees from Pfizer, personal fees from Sandoz, personal fees from Takeda, personal fees from Galapagos, personal fees from Arena, outside the submitted work. PJS reports speaker fees and advisory board sponsorship from Janssen, Celltrion and Takeda outside the submitted work. AMV reports personal fees and non-financial support from Takeda, personal fees and non-financial support from Celltrion, personal fees and non-financial support from Merck Sharp & Dohme, outside the submitted work. SJ is an employee of Roche Diagnostics and holds Roche shares. SS reports grants from Takeda, Abbvie, AMGEN, Tillots Pharma, personal fees from Jaansen, Takeda, Galapagos, Celltrion, Falk Pharma, Tillots pharma, Cellgene, Pfizer, Pharmacocosmos, outside the submitted work. CWL reports personal fees from Abbvie, personal fees from Janssen, personal fees from Pfizer, personal fees from Takeda, grants from Gilead, personal fees from Gilead, personal fees from Galapagos, personal fees from Iterative Scopes, personal fees from Trellus Health, personal fees from Celltion, personal fees from Ferring, personal fees from BMS, during the conduct of the study. NP reports personal fees from Takeda, personal fees from Janssen, personal fees from Pfizer, personal fees from Bristol-Myers Squibb, personal fees from Abbvie, personal fees from Roche, personal fees from Lilly, personal fees from Allergan, personal fees from Celgene, outside the submitted work; and NP has served as a speaker/advisory board member for Abbvie, Allergan, Bristol Myers Squibb, Celgene, Falk, Ferring, Janssen, Pfizer, Tillotts, Takeda and Vifor Pharma. TA reports grants and non-financial support from F. Hoffmann-La Roche AG, grants from Biogen Inc, grants from Celltrion Healthcare, grants from Galapagos NV, non-financial support from Immundiagnostik, during the conduct of the study; personal fees from Biogen, grants and personal fees from Celltrion Healthcare, personal fees and non-financial support from Immundiagnostik, personal fees from Takeda, personal fees from ARENA, personal fees from Gilead, personal fees from Adcock Ingram Healthcare, personal fees from Pfizer, personal fees from Genentech, non-financial support from Tillotts, outside the submitted work., (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.)

Objective: Antitumour necrosis factor (anti-TNF) drugs impair protective immunity following pneumococcal, influenza and viral hepatitis vaccination and increase the risk of serious respiratory infections. We sought to determine whether infliximab-treated patients with IBD have attenuated serological responses to SARS-CoV-2 infections., Design: Antibody responses in participants treated with infliximab were compared with a reference cohort treated with vedolizumab, a gut-selective anti-integrin α4β7 monoclonal antibody that is not associated with impaired vaccine responses or increased susceptibility to systemic infections. 6935 patients were recruited from 92 UK hospitals between 22 September and 23 December 2020., Results: Rates of symptomatic and proven SARS-CoV-2 infection were similar between groups. Seroprevalence was lower in infliximab-treated than vedolizumab-treated patients (3.4% (161/4685) vs 6.0% (134/2250), p<0.0001). Multivariable logistic regression analyses confirmed that infliximab (vs vedolizumab; OR 0.66 (95% CI 0.51 to 0.87), p=0.0027) and immunomodulator use (OR 0.70 (95% CI 0.53 to 0.92), p=0.012) were independently associated with lower seropositivity. In patients with confirmed SARS-CoV-2 infection, seroconversion was observed in fewer infliximab-treated than vedolizumab-treated patients (48% (39/81) vs 83% (30/36), p=0.00044) and the magnitude of anti-SARS-CoV-2 reactivity was lower (median 0.8 cut-off index (0.2-5.6) vs 37.0 (15.2-76.1), p<0.0001)., Conclusions: Infliximab is associated with attenuated serological responses to SARS-CoV-2 that were further blunted by immunomodulators used as concomitant therapy. Impaired serological responses to SARS-CoV-2 infection might have important implications for global public health policy and individual anti-TNF-treated patients. Serological testing and virus surveillance should be considered to detect suboptimal vaccine responses, persistent infection and viral evolution to inform public health policy., Trial Registration Number: ISRCTN45176516., Competing Interests: Competing interests: NAK reports grants from F. Hoffmann-La Roche AG, grants from Biogen Inc, grants from Celltrion Healthcare, grants from Galapagos NV, non-financial support from Immundiagnostik, during the conduct of the study; grants and non-financial support from AbbVie, grants and personal fees from Celltrion, personal fees and non-financial support from Janssen, personal fees from Takeda, personal fees and non-financial support from Dr Falk, outside the submitted work. JRG reports grants from F. Hoffmann-La Roche AG, grants from Biogen Inc, grants from Celltrion Healthcare, grants from Galapagos NV, non-financial support from Immundiagnostik, during the conduct of the study. DC reports non-financial support from Ferring, personal fees and non-financial support from Pfizer, outside the submitted work. SL reports non-financial support from Pfizer, non-financial support from Ferring, outside the submitted work. RC reports personal fees from Takeda, outside the submitted work. NMC reports trial funding, advisory board and speaker fees paid to his institution from AbbVie, Eli Lilly, Takeda, Shire, Pfizer and Janssen. ALH reports personal fees from Abbvie, personal fees from Allergan, personal fees from BMS, personal fees from Celltrion, personal fees from Falk, personal fees from GSK, personal fees from Takeda, personal fees from Pfizer, personal fees from Janssen, personal fees from Galapogos, personal fees from Astra Zeneca, outside the submitted work. PMI reports grants and personal fees from Takeda, grants from MSD, grants and personal fees from Pfizer, personal fees from Galapagos, personal fees from Gilead, personal fees from Abbvie, personal fees from Janssen, personal fees from Boehringer Ingelheim, personal fees from Topivert, personal fees from VH2, personal fees from Celgene, personal fees from Arena, personal fees from Samsung Bioepis, personal fees from Sandoz, personal fees from Procise, personal fees from Prometheus, outside the submitted work. KBK reports personal fees from Janssen, personal fees from Takeda, personal fees from PredictImmune, personal fees from Amgen, outside the submitted work. CAL reports grants from Genentech, grants and personal fees from Janssen, grants and personal fees from Takeda, grants from AbbVie, personal fees from Ferring, grants from Eli Lilly, grants from Pfizer, grants from Roche, grants from UCB Biopharma, grants from Sanofi Aventis, grants from Biogen IDEC, grants from Orion OYJ, personal fees from Dr Falk Pharma, grants from AstraZeneca, outside the submitted work. JKL reports personal fees from MSD, personal fees from Janssen, grants and personal fees from Takeda, grants and personal fees from Galapagos, personal fees from Tillotts, outside the submitted work. JM reports grants and personal fees from Takeda Pharmaceuticals, grants and personal fees from Biogen, personal fees and non-financial support from AbbVie, personal fees from Grifols, personal fees from Sandoz, personal fees from Celltrion, personal fees and non-financial support from Janssen, personal fees from Vifor Pharmaceuticals, personal fees from Predictimmune, personal fees from Bristol Myers Squibb, non-financial support from Ferring Pharmaceuticals, outside the submitted work. DPBM reports grants from the Leona M. and Harry B. Helmsley Charitable Trust, during the conduct of the study; personal fees from Takeda Pharmaceuticals, personal fees from Pfizer, personal fees from Bridge Biotherapeutics, personal fees from Palatin Technologies, personal fees from Boehringer-Ingelheim, personal fees and other from Prometheus Biosciences, personal fees from Gilead, outside the submitted work. KVP reports personal fees and non-financial support from Takeda, personal fees and non-financial support from Janssen, personal fees and non-financial support from Abbvie, personal fees from DrFalk, non-financial support from Ferring, outside the submitted work. RCGP reports acting as consultant, advisory board member, speaker or recipient of educational grant from Dr Falk, Ferring, Janssen, Pharmacosmos and Takeda. TR reports grants and personal fees from Abbvie, personal fees from BMS, personal fees from Celgene, personal fees from Ferring, personal fees from Gilead, personal fees from GSK, personal fees from LabGenius, personal fees from Janssen, personal fees from Mylan, personal fees from MSD, personal fees from Novartis, personal fees from Pfizer, personal fees from Sandoz, personal fees from Takeda, personal fees from Galapagos, personal fees from Arena, outside the submitted work. RKR reports grants from NHS Research Scotland Senior Research Fellowship, personal fees from Nestlé, personal fees from AbbVie, personal fees from Dr Falk, personal fees from Takeda, personal fees from Napp, personal fees from Mead Johnson, personal fees from Nutricia, personal fees from 4D Pharma, outside the submitted work. CPS reports grants and personal fees from AbbVie, grants and personal fees from Janssen, grants and personal fees from Takeda, personal fees from Dr Falk, personal fees from Pfizer, personal fees from Galapagos, personal fees from Arena, personal fees from Fresenius Kabi, outside the submitted work. PJS reports speaker fees and advisory board sponsorship from Janssen, Celltrion and Takeda outside the submitted work. CWL reports personal fees from Abbvie, personal fees from Janssen, personal fees from Pfizer, personal fees from Takeda, grants from Gilead, personal fees from Gilead, personal fees from Galapagos, personal fees from Iterative Scopes, personal fees from Trellus Health, personal fees from Celltion, personal fees from Ferring, personal fees from BMS, during the conduct of the study. SS reports grants from Takeda, Abbvie, AMGEN, Tillots Pharma, personal fees from Jaansen, Takeda, Galapagos, Celltrion, Falk Pharma, Tillots pharma, Cellgene, Pfizer, Phamrmacocosmos, outside the submitted work. NP reports personal fees from Takeda, personal fees from Janssen, personal fees from Pfizer, personal fees from Bristol-Myers Squibb, personal fees from Abbvie, personal fees from Roche, personal fees from Lilly, personal fees from Allergan, personal fees from Celgene, outside the submitted work; and NP has served as a speaker/advisory board member for Abbvie, Allergan, Bristol Myers Squibb, Celgene, Falk, Ferring, Janssen, Pfizer, Tillotts, Takeda and Vifor Pharma. TA reports grants and non-financial support from F. Hoffmann-La Roche AG, grants from Biogen Inc, grants from Celltrion Healthcare, grants from Galapagos NV, non-financial support from Immundiagnostik, during the conduct of the study; personal fees from Biogen Inc, grants and personal fees from Celltrion Healthcare, personal fees and non-financial support from Immundiagnostik, personal fees from Takeda, personal fees from ARENA, personal fees from Gilead, personal fees from Adcock Ingram Healthcare, personal fees from Pfizer, personal fees from Genentech, non-financial support from Tillotts, outside the submitted work., (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.)

Objective: We have previously described a prognostic transcriptional signature in CD8 T cells that separates patients with IBD into two phenotypically distinct subgroups, termed IBD1 and IBD2. Here we sought to develop a blood-based test that could identify these subgroups without cell separation, and thus be suitable for clinical use in Crohn's disease (CD) and ulcerative colitis (UC)., Design: Patients with active IBD were recruited before treatment. Transcriptomic analyses were performed on purified CD8 T cells and/or whole blood. Phenotype data were collected prospectively. IBD1/IBD2 patient subgroups were identified by consensus clustering of CD8 T cell transcriptomes. In a training cohort, machine learning was used to identify groups of genes ('classifiers') whose differential expression in whole blood recreated the IBD1/IBD2 subgroups. Genes from the best classifiers were quantitative (q)PCR optimised, and further machine learning was used to identify the optimal qPCR classifier, which was locked down for further testing. Independent validation was sought in separate cohorts of patients with CD (n=66) and UC (n=57)., Results: In both validation cohorts, a 17-gene qPCR-based classifier stratified patients into two distinct subgroups. Irrespective of the underlying diagnosis, IBDhi patients (analogous to the poor prognosis IBD1 subgroup) experienced significantly more aggressive disease than IBDlo patients (analogous to IBD2), with earlier need for treatment escalation (hazard ratio=2.65 (CD), 3.12 (UC)) and more escalations over time (for multiple escalations within 18 months: sensitivity=72.7% (CD), 100% (UC); negative predictive value=90.9% (CD), 100% (UC))., Conclusion: This is the first validated prognostic biomarker that can predict prognosis in newly diagnosed patients with IBD and represents a step towards personalised therapy., Competing Interests: Competing interests: DB, JCL, EM, PAL and KGCS are coinventors on a patent covering the method of assessing prognosis in IBD. EM, PAL and KGCS are cofounders and consultants for PredictImmune. JCL is a consultant for PredictImmune., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.)

Objective: Altered microbiota composition, changes in immune responses and impaired intestinal barrier functions are observed in IBD. Most of these features are controlled by proteases and their inhibitors to maintain gut homeostasis. Unrestrained or excessive proteolysis can lead to pathological gastrointestinal conditions. The aim was to validate the identified protease IBD candidates from a previously performed systematic review through a genetic association study and functional follow-up., Design: We performed a genetic association study in a large multicentre cohort of patients with Crohn's disease (CD) and UC from five European IBD referral centres in a total of 2320 CD patients, 2112 UC patients and 1796 healthy controls. Subsequently, we did an extensive functional assessment of the candidate genes to explore their causality in IBD pathogenesis., Results: Ten single nucleotide polymorphisms (SNPs) in four genes were significantly associated with CD: CYLD, USP40, APEH and USP3. CYLD was the most significant gene with the intronically located rs12324931 the strongest associated SNP (p(FDR)=1.74e-17, OR=2.24 (1.83 to 2.74)). Five SNPs in four genes were significantly associated with UC: USP40, APEH, DAG1 and USP3. CYLD, as well as some of the other associated genes, is part of the ubiquitin proteasome system (UPS). We therefore determined if the IBD-associated adherent-invasive Escherichia coli (AIEC) can modulate the UPS functioning. Infection of intestinal epithelial cells with the AIEC LF82 reference strain modulated the UPS turnover by reducing poly-ubiquitin conjugate accumulation, increasing 26S proteasome activities and decreasing protein levels of the NF-κB regulator CYLD. This resulted in IκB-α degradation and NF-κB activation. This activity was very important for the pathogenicity of AIEC since decreased CYLD resulted in increased ability of AIEC LF82 to replicate intracellularly., Conclusions: Our results reveal the UPS, and CYLD specifically, as an important contributor to IBD pathogenesis, which is favoured by both genetic and microbial factors., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

The management of inflammatory bowel disease represents a key component of clinical practice for members of the British Society of Gastroenterology (BSG). There has been considerable progress in management strategies affecting all aspects of clinical care since the publication of previous BSG guidelines in 2004, necessitating the present revision. Key components of the present document worthy of attention as having been subject to re-assessment, and revision, and having direct impact on practice include: The data generated by the nationwide audits of inflammatory bowel disease (IBD) management in the UK in 2006, and 2008. The publication of 'Quality Care: service standards for the healthcare of people with IBD' in 2009. The introduction of the Montreal classification for Crohn's disease and ulcerative colitis. The revision of recommendations for the use of immunosuppressive therapy. The detailed analysis, guidelines and recommendations for the safe and appropriate use of biological therapies in Crohn's disease and ulcerative colitis. The reassessment of the role of surgery in disease management, with emphasis on the importance of multi-disciplinary decision-making in complex cases. The availablity of new data on the role of reconstructive surgery in ulcerative colitis. The cross-referencing to revised guidelines for colonoscopic surveillance, for the management of metabolic bone disease, and for the care of children with inflammatory bowel disease. Use of the BSG discussion forum available on the BSG website to enable ongoing feedback on the published document http://www.bsg.org.uk/forum (accessed Oct 2010). The present document is intended primarily for the use of clinicians in the United Kingdom, and serves to replace the previous BSG guidelines in IBD, while complementing recent consensus statements published by the European Crohn's and Colitis Organisation (ECCO) https://www.ecco-ibd.eu/index.php (accessed Oct 2010).