Prediction of Inflammatory Bowel Disease Course Based on Fecal Scent

The early prediction of changes in disease state allows timely treatment of patients with inflammatory bowel disease (IBD) to be performed, which improves disease outcome. The aim of this pilot study is to explore the potential of fecal volatile organic compound (VOC) profiles to predict disease cou...

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Main Authors: Sofie Bosch, Dion S. J. Wintjens, Alfian Wicaksono, Marieke Pierik, James A. Covington, Tim G. J. de Meij, Nanne K. H. de Boer
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/6/2316
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author Sofie Bosch
Dion S. J. Wintjens
Alfian Wicaksono
Marieke Pierik
James A. Covington
Tim G. J. de Meij
Nanne K. H. de Boer
author_facet Sofie Bosch
Dion S. J. Wintjens
Alfian Wicaksono
Marieke Pierik
James A. Covington
Tim G. J. de Meij
Nanne K. H. de Boer
author_sort Sofie Bosch
collection DOAJ
description The early prediction of changes in disease state allows timely treatment of patients with inflammatory bowel disease (IBD) to be performed, which improves disease outcome. The aim of this pilot study is to explore the potential of fecal volatile organic compound (VOC) profiles to predict disease course. In this prospective cohort, IBD patients were asked to collect two fecal samples and fill in a questionnaire at set intervals. Biochemically, active disease was defined by FCP ≥ 250 mg/g and remission was defined by FCP < 100 mg/g. Clinically, active disease was defined by a Harvey Bradshaw Index (HBI) ≥ 5 for Crohn’s disease or by a Simple Clinical Colitis Activity Index (SCCAI) ≥ 3 for ulcerative colitis. Clinical remission was defined by an HBI < 4 or SCCAI ≤ 2. Fecal VOC profiles were measured using gas chromatography-ion mobility spectrometry (GC-IMS). The fecal samples collected first were included for VOC analysis to predict disease state at the following collection. A total of 182 subsequently collected samples met the disease-state criteria. The fecal VOC profiles of samples displaying low FCP levels at the first measurements differed between patients preceding exacerbation versus those who remained in remission (AUC 0.75; <i>p</i> < 0.01). Samples with FCP levels at the first time point displayed different VOC profiles in patients preceding remission compared with those whose disease remained active (AUC 0.86; <i>p</i> < 0.01). Based on disease activity scores, there were no significant differences in any of the comparisons. Alterations in fecal VOC profiles preceding changes in FCP levels may be useful to detect disease-course alterations at an early stage. This could lead to earlier treatment, decreased numbers of complications, surgery and hospital admission.
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spelling doaj.art-ec7aa8e773724181b4cfca42f874b7a42023-11-30T22:19:16ZengMDPI AGSensors1424-82202022-03-01226231610.3390/s22062316Prediction of Inflammatory Bowel Disease Course Based on Fecal ScentSofie Bosch0Dion S. J. Wintjens1Alfian Wicaksono2Marieke Pierik3James A. Covington4Tim G. J. de Meij5Nanne K. H. de Boer6Department of Gastroenterology and Hepatology, AG&M Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The NetherlandsDepartment of Gastroenterology and Hepatology, MUMC+, Maastricht University, 6229 HX Maastricht, The NetherlandsSchool of Engineering, University of Warwick, Coventry CV4 7AL, UKDepartment of Gastroenterology and Hepatology, MUMC+, Maastricht University, 6229 HX Maastricht, The NetherlandsSchool of Engineering, University of Warwick, Coventry CV4 7AL, UKDepartment of Pediatric Gastroenterology, AG&M Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The NetherlandsDepartment of Gastroenterology and Hepatology, AG&M Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The NetherlandsThe early prediction of changes in disease state allows timely treatment of patients with inflammatory bowel disease (IBD) to be performed, which improves disease outcome. The aim of this pilot study is to explore the potential of fecal volatile organic compound (VOC) profiles to predict disease course. In this prospective cohort, IBD patients were asked to collect two fecal samples and fill in a questionnaire at set intervals. Biochemically, active disease was defined by FCP ≥ 250 mg/g and remission was defined by FCP < 100 mg/g. Clinically, active disease was defined by a Harvey Bradshaw Index (HBI) ≥ 5 for Crohn’s disease or by a Simple Clinical Colitis Activity Index (SCCAI) ≥ 3 for ulcerative colitis. Clinical remission was defined by an HBI < 4 or SCCAI ≤ 2. Fecal VOC profiles were measured using gas chromatography-ion mobility spectrometry (GC-IMS). The fecal samples collected first were included for VOC analysis to predict disease state at the following collection. A total of 182 subsequently collected samples met the disease-state criteria. The fecal VOC profiles of samples displaying low FCP levels at the first measurements differed between patients preceding exacerbation versus those who remained in remission (AUC 0.75; <i>p</i> < 0.01). Samples with FCP levels at the first time point displayed different VOC profiles in patients preceding remission compared with those whose disease remained active (AUC 0.86; <i>p</i> < 0.01). Based on disease activity scores, there were no significant differences in any of the comparisons. Alterations in fecal VOC profiles preceding changes in FCP levels may be useful to detect disease-course alterations at an early stage. This could lead to earlier treatment, decreased numbers of complications, surgery and hospital admission.https://www.mdpi.com/1424-8220/22/6/2316inflammatory bowel diseasebiomarkervolatile organic compounds
spellingShingle Sofie Bosch
Dion S. J. Wintjens
Alfian Wicaksono
Marieke Pierik
James A. Covington
Tim G. J. de Meij
Nanne K. H. de Boer
Prediction of Inflammatory Bowel Disease Course Based on Fecal Scent
Sensors
inflammatory bowel disease
biomarker
volatile organic compounds
title Prediction of Inflammatory Bowel Disease Course Based on Fecal Scent
title_full Prediction of Inflammatory Bowel Disease Course Based on Fecal Scent
title_fullStr Prediction of Inflammatory Bowel Disease Course Based on Fecal Scent
title_full_unstemmed Prediction of Inflammatory Bowel Disease Course Based on Fecal Scent
title_short Prediction of Inflammatory Bowel Disease Course Based on Fecal Scent
title_sort prediction of inflammatory bowel disease course based on fecal scent
topic inflammatory bowel disease
biomarker
volatile organic compounds
url https://www.mdpi.com/1424-8220/22/6/2316
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