Dataset Information

Gas Chromatography-Sensor System Aids Diagnosis of Inflammatory Bowel Disease, and Separates Crohn's from Ulcerative Colitis, in Children.

ABSTRACT: The diagnosis of inflammatory bowel disease (IBD) in children and the need to distinguish between subtypes (Crohn's disease (CD) and ulcerative colitis (UC)) requires lengthy investigative and invasive procedures. Non-invasive, rapid, and cost-effective tests to support these diagnoses are needed. Faecal volatile organic compounds (VOCs) are distinctive in IBD. VOC profiles can be rapidly determined using a gas chromatography-sensor device (OdoReader©). In an inception-cohort of children presenting with suspected IBD, we directly compared the diagnostic fidelity of faecal calprotectin (FCP, a non-specific protein marker of intestinal inflammation) with OdoReader© VOC profiles of children subsequently diagnosed with IBD with matched controls diagnosed with other gastrointestinal conditions. The OdoReader© was 82% (95% confidence interval 75-89%) sensitive and 71% (61-80%) specific but did not outperform FCP (sensitivity 93% (77-99%) and specificity 86% (67-96%); 250 µg/g FCP cut off) in the diagnosis of IBD from other gastrointestinal conditions when validated in a separate sample from the same cohort. However, unlike FCP and better than other similar technologies, the OdoReader© could distinguish paediatric CD from UC (up to 88% (82-93%) sensitivity and 80% (71-89%) specificity in the validation set) and justifies further validation in larger studies. A non-invasive test based on VOCs could help streamline and limit invasive investigations in children.

SUBMITTER: Slater R

PROVIDER: S-EPMC11314755 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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Gas Chromatography-Sensor System Aids Diagnosis of Inflammatory Bowel Disease, and Separates Crohn's from Ulcerative Colitis, in Children.

Slater Rachael R Tharmaratnam Kukatharmini K Belnour Salma S Auth Marcus Karl-Heinz MK Muhammed Rafeeq R Spray Christine C Wang Duolao D de Lacy Costello Ben B García-Fiñana Marta M Allen Stephen S Probert Chris C

Sensors (Basel, Switzerland) 20240805 15

The diagnosis of inflammatory bowel disease (IBD) in children and the need to distinguish between subtypes (Crohn's disease (CD) and ulcerative colitis (UC)) requires lengthy investigative and invasive procedures. Non-invasive, rapid, and cost-effective tests to support these diagnoses are needed. Faecal volatile organic compounds (VOCs) are distinctive in IBD. VOC profiles can be rapidly determined using a gas chromatography-sensor device (OdoReader©). In an inception-cohort of children present ...[more]

PMID: 39124126

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Project description:BackgroundInflammatory bowel disease (IBD) is a multifactorial chronic inflammatory disease resulting from dysregulation of the mucosal immune response and gut microbiota. Crohn's disease (CD) and ulcerative colitis (UC) are difficult to distinguish, and differential diagnosis is essential for establishing a long-term treatment plan for patients. Furthermore, the abundance of mucosal bacteria is associated with the severity of the disease. This study aimed to differentiate and diagnose these two diseases using the microbiome and identify specific biomarkers associated with disease activity.ResultsDifferences in the abundance and composition of the microbiome between IBD patients and healthy controls (HC) were observed. Compared to HC, the diversity of the gut microbiome in patients with IBD decreased; the diversity of the gut microbiome in patients with CD was significantly lower. Sixty-eight microbiota members (28 for CD and 40 for UC) associated with these diseases were identified. Additionally, as the disease progressed through different stages, the diversity of the bacteria decreased. The abundances of Alistipes shahii and Pseudodesulfovibrio aespoeensis were negatively correlated with the severity of CD, whereas the abundance of Polynucleobacter wianus was positively correlated. The severity of UC was negatively correlated with the abundance of A. shahii, Porphyromonas asaccharolytica and Akkermansia muciniphilla, while it was positively correlated with the abundance of Pantoea candidatus pantoea carbekii. A regularized logistic regression model was used for the differential diagnosis of the two diseases. The area under the curve (AUC) was used to examine the performance of the model. The model discriminated UC and CD at an AUC of 0.873 (train set), 0.778 (test set), and 0.633 (validation set) and an area under the precision-recall curve (PRAUC) of 0.888 (train set), 0.806 (test set), and 0.474 (validation set).ConclusionsBased on fecal whole-metagenome shotgun (WMS) sequencing, CD and UC were diagnosed using a machine-learning predictive model. Microbiome biomarkers associated with disease activity (UC and CD) are also proposed.

Dataset Information

Gas Chromatography-Sensor System Aids Diagnosis of Inflammatory Bowel Disease, and Separates Crohn's from Ulcerative Colitis, in Children.

Publications

Gas Chromatography-Sensor System Aids Diagnosis of Inflammatory Bowel Disease, and Separates Crohn's from Ulcerative Colitis, in Children.

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