TY - JOUR
T1 - Serum Metabolites Relate to Mucosal and Transmural Inflammation in Paediatric Crohn Disease
AU - Suarez, Ricardo G.
AU - Guruprasad, Namitha
AU - Tata, Ganesh
AU - Zhang, Zhengxiao
AU - Focht, Gili
AU - McClement, Daniel
AU - Navas-López, Víctor Manuel
AU - Koletzko, Sibylle
AU - Griffiths, Anne M.
AU - Ledder, Oren
AU - De Ridder, Lissy
AU - Wishart, David
AU - Nichols, Ben
AU - Gerasimidis, Konstantinos
AU - Turner, Dan
AU - Wine, Eytan
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Oxford University Press on behalf of European Crohn's and Colitis Organisation.
PY - 2024/11/1
Y1 - 2024/11/1
N2 - Background and Aims: We aimed to identify serum metabolites associated with mucosal and transmural inflammation in paediatric Crohn disease [pCD]. Methods: In all, 56 pCD patients were included through a pre-planned sub-study of the multicentre, prospective, ImageKids cohort, designed to develop the Paediatric Inflammatory Crohn magnetic resonance enterography [MRE] Index [PICMI]. Children were included throughout their disease course when undergoing ileocolonoscopy and MRE and were followed for 18 months, when MRE was repeated. Serum metabolites were identified using liquid chromatography/mass spectroscopy. Outcomes included: PICMI, the simple endoscopic score [SES], faecal calprotectin [FCP], and C-reactive protein [CRP], to assess transmural, mucosal, and systemic inflammation, respectively. Random forest models were built by outcome. Maximum relevance minimum redundancy [mRMR] feature selection with a j-fold cross-validation scheme identified the best subset of features and hyperparameter settings. Results: Tryptophan and glutarylcarnitine were the top common mRMR metabolites linked to pCD inflammation. Random forest models established that amino acids and amines were among the most influential metabolites for predicting transmural and mucosal inflammation. Predictive models performed well, each with an area under the curve [AUC] > 70%. In addition, serum metabolites linked with pCD inflammation mainly related to perturbations in the citrate cycle [TCA cycle], aminoacyl-tRNA biosynthesis, tryptophan metabolism, butanoate metabolism, and tyrosine metabolism. Conclusions: We extend on recent studies, observing differences in serum metabolites between healthy controls and Crohn disease patients, and suggest various associations of serum metabolites with transmural and mucosal inflammation. These metabolites could improve the understanding of pCD pathogenesis and assessment of disease severity.
AB - Background and Aims: We aimed to identify serum metabolites associated with mucosal and transmural inflammation in paediatric Crohn disease [pCD]. Methods: In all, 56 pCD patients were included through a pre-planned sub-study of the multicentre, prospective, ImageKids cohort, designed to develop the Paediatric Inflammatory Crohn magnetic resonance enterography [MRE] Index [PICMI]. Children were included throughout their disease course when undergoing ileocolonoscopy and MRE and were followed for 18 months, when MRE was repeated. Serum metabolites were identified using liquid chromatography/mass spectroscopy. Outcomes included: PICMI, the simple endoscopic score [SES], faecal calprotectin [FCP], and C-reactive protein [CRP], to assess transmural, mucosal, and systemic inflammation, respectively. Random forest models were built by outcome. Maximum relevance minimum redundancy [mRMR] feature selection with a j-fold cross-validation scheme identified the best subset of features and hyperparameter settings. Results: Tryptophan and glutarylcarnitine were the top common mRMR metabolites linked to pCD inflammation. Random forest models established that amino acids and amines were among the most influential metabolites for predicting transmural and mucosal inflammation. Predictive models performed well, each with an area under the curve [AUC] > 70%. In addition, serum metabolites linked with pCD inflammation mainly related to perturbations in the citrate cycle [TCA cycle], aminoacyl-tRNA biosynthesis, tryptophan metabolism, butanoate metabolism, and tyrosine metabolism. Conclusions: We extend on recent studies, observing differences in serum metabolites between healthy controls and Crohn disease patients, and suggest various associations of serum metabolites with transmural and mucosal inflammation. These metabolites could improve the understanding of pCD pathogenesis and assessment of disease severity.
KW - machine learning
KW - paediatric Crohn disease
KW - Serum metabolites
UR - http://www.scopus.com/inward/record.url?scp=85208514370&partnerID=8YFLogxK
U2 - 10.1093/ecco-jcc/jjae085
DO - 10.1093/ecco-jcc/jjae085
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C2 - 38842257
AN - SCOPUS:85208514370
SN - 1873-9946
VL - 18
SP - 1832
EP - 1844
JO - Journal of Crohn's and Colitis
JF - Journal of Crohn's and Colitis
IS - 11
ER -