Ricardo G Suarez, Namitha Guruprasad, Ganesh Tata, Zhengxiao Zhang, Gili Focht, Daniel McClement, Víctor Manuel Navas-López, Sibylle Koletzko, Anne M Griffiths, Oren Ledder, Lissy de Ridder, David Wishart, Ben Nichols, Konstantinos Gerasimidis, Dan Turner, Eytan Wine
{"title":"血清代谢物与小儿克罗恩病的黏膜和跨膜炎症有关","authors":"Ricardo G Suarez, Namitha Guruprasad, Ganesh Tata, Zhengxiao Zhang, Gili Focht, Daniel McClement, Víctor Manuel Navas-López, Sibylle Koletzko, Anne M Griffiths, Oren Ledder, Lissy de Ridder, David Wishart, Ben Nichols, Konstantinos Gerasimidis, Dan Turner, Eytan Wine","doi":"10.1093/ecco-jcc/jjae085","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aims: </strong>We aimed to identify serum metabolites associated with mucosal and transmural inflammation in paediatric Crohn disease [pCD].</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":94074,"journal":{"name":"Journal of Crohn's & colitis","volume":" ","pages":"1832-1844"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11532621/pdf/","citationCount":"0","resultStr":"{\"title\":\"Serum Metabolites Relate to Mucosal and Transmural Inflammation in Paediatric Crohn Disease.\",\"authors\":\"Ricardo G Suarez, Namitha Guruprasad, Ganesh Tata, Zhengxiao Zhang, Gili Focht, Daniel McClement, Víctor Manuel Navas-López, Sibylle Koletzko, Anne M Griffiths, Oren Ledder, Lissy de Ridder, David Wishart, Ben Nichols, Konstantinos Gerasimidis, Dan Turner, Eytan Wine\",\"doi\":\"10.1093/ecco-jcc/jjae085\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aims: </strong>We aimed to identify serum metabolites associated with mucosal and transmural inflammation in paediatric Crohn disease [pCD].</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":94074,\"journal\":{\"name\":\"Journal of Crohn's & colitis\",\"volume\":\" \",\"pages\":\"1832-1844\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11532621/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Crohn's & colitis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/ecco-jcc/jjae085\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Crohn's & colitis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/ecco-jcc/jjae085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Serum Metabolites Relate to Mucosal and Transmural Inflammation in Paediatric Crohn Disease.
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.