A Smolinska1, A G L Bodelier2,3, J W Dallinga1, A A M Masclee2, D M Jonkers2, F-J van Schooten1, M J Pierik2. 1. Department of Pharmacology and Toxicology, NUTRIM School for Nutrition, and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands. 2. Department of Gastroenterology and Hepatology, NUTRIM School for Nutrition, and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, The Netherlands. 3. Department of Gastroenterology, Amphia Hospital, Breda, The Netherlands.
Abstract
BACKGROUND: To optimise treatment of ulcerative colitis (UC), patients need repeated assessment of mucosal inflammation. Current non-invasive biomarkers and clinical activity indices do not accurately reflect disease activity in all patients and cannot discriminate UC from non-UC colitis. Volatile organic compounds (VOCs) in exhaled air could be predictive of active disease or remission in Crohn's disease. AIM: To investigate whether VOCs are able to differentiate between active UC, UC in remission and non-UC colitis. METHODS: UC patients participated in a 1-year study. Clinical activity index, blood, faecal and breath samples were collected at each out-patient visit. Patients with clear defined active faecal calprotectin >250 μg/g and inactive disease (Simple Clinical Colitis Activity Index <3, C-reactive protein <5 mg/L and faecal calprotectin <100 μg/g) were included for cross-sectional analysis. Non-UC colitis was confirmed by stool culture or radiological evaluation. Breath samples were analysed by gas chromatography time-of-flight mass spectrometry and kernel-based method to identify discriminating VOCs. RESULTS: In total, 72 UC (132 breath samples; 62 active; 70 remission) and 22 non-UC-colitis patients (22 samples) were included. Eleven VOCs predicted active vs. inactive UC in an independent internal validation set with 92% sensitivity and 77% specificity (AUC 0.94). Non-UC colitis patients could be clearly separated from active and inactive UC patients with principal component analysis. CONCLUSIONS: Volatile organic compounds can accurately distinguish active disease from remission in UC and profiles in UC are clearly different from profiles in non-UC colitis patients. VOCs have demonstrated potential as new non-invasive biomarker to monitor inflammation in UC.
BACKGROUND: To optimise treatment of ulcerative colitis (UC), patients need repeated assessment of mucosal inflammation. Current non-invasive biomarkers and clinical activity indices do not accurately reflect disease activity in all patients and cannot discriminate UC from non-UC colitis. Volatile organic compounds (VOCs) in exhaled air could be predictive of active disease or remission in Crohn's disease. AIM: To investigate whether VOCs are able to differentiate between active UC, UC in remission and non-UC colitis. METHODS: UC patients participated in a 1-year study. Clinical activity index, blood, faecal and breath samples were collected at each out-patient visit. Patients with clear defined active faecal calprotectin >250 μg/g and inactive disease (Simple Clinical Colitis Activity Index <3, C-reactive protein <5 mg/L and faecal calprotectin <100 μg/g) were included for cross-sectional analysis. Non-UC colitis was confirmed by stool culture or radiological evaluation. Breath samples were analysed by gas chromatography time-of-flight mass spectrometry and kernel-based method to identify discriminating VOCs. RESULTS: In total, 72 UC (132 breath samples; 62 active; 70 remission) and 22 non-UC-colitispatients (22 samples) were included. Eleven VOCs predicted active vs. inactive UC in an independent internal validation set with 92% sensitivity and 77% specificity (AUC 0.94). Non-UC colitispatients could be clearly separated from active and inactive UC patients with principal component analysis. CONCLUSIONS: Volatile organic compounds can accurately distinguish active disease from remission in UC and profiles in UC are clearly different from profiles in non-UC colitispatients. VOCs have demonstrated potential as new non-invasive biomarker to monitor inflammation in UC.
Authors: Ashley Bond; Rosemary Greenwood; Stephen Lewis; Bernard Corfe; Sanchoy Sarkar; Paul O'Toole; Paul Rooney; Michael Burkitt; Georgina Hold; Chris Probert Journal: Aliment Pharmacol Ther Date: 2019-03-03 Impact factor: 8.171
Authors: Sofie Bosch; Sofia El Manouni El Hassani; James A Covington; Alfian N Wicaksono; Marije K Bomers; Marc A Benninga; Chris J J Mulder; Nanne K H de Boer; Tim G J de Meij Journal: Anal Chem Date: 2018-06-15 Impact factor: 6.986
Authors: Ran An; Ellen Wilms; Agnieszka Smolinska; Gerben D A Hermes; Ad A M Masclee; Paul de Vos; Henk A Schols; Frederik J van Schooten; Hauke Smidt; Daisy M A E Jonkers; Erwin G Zoetendal; Freddy J Troost Journal: Nutrients Date: 2019-09-12 Impact factor: 5.717