-
Je něco špatně v tomto záznamu ?
Gut metabolome and microbiota signatures predict response to treatment with exclusive enteral nutrition in a prospective study in children with active Crohn's disease
B. Nichols, A. Briola, M. Logan, J. Havlik, A. Mascellani, K. Gkikas, S. Milling, UZ. Ijaz, C. Quince, V. Svolos, RK. Russell, R. Hansen, K. Gerasimidis
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 1999 do Před 1 rokem
Freely Accessible Science Journals
od 1999 do Před 1 rokem
Open Access Digital Library
od 1999-01-01
Elsevier Open Access Journals
od 1996-01-01 do Před 1 rokem
- MeSH
- acetáty MeSH
- butyráty MeSH
- Crohnova nemoc * terapie metabolismus MeSH
- dítě MeSH
- enterální výživa MeSH
- fenylacetáty MeSH
- indukce remise MeSH
- lidé MeSH
- metabolom MeSH
- mikrobiota * MeSH
- prospektivní studie MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Predicting response to exclusive enteral nutrition (EEN) in active Crohn's disease (CD) could lead to therapy personalization and pretreatment optimization. OBJECTIVES: This study aimed to explore the ability of pretreatment parameters to predict fecal calprotectin (FCal) levels at EEN completion in a prospective study in children with CD. METHODS: In children with active CD, clinical parameters, dietary intake, cytokines, inflammation-related blood proteomics, and diet-related metabolites, metabolomics and microbiota in feces, were measured before initiation of 8 wk of EEN. Prediction of FCal levels at EEN completion was performed using machine learning. Data are presented with medians (IQR). RESULTS: Of 37 patients recruited, 15 responded (FCal < 250 μg/g) to EEN (responders) and 22 did not (nonresponders). Clinical and immunological parameters were not associated with response to EEN. Responders had lesser (μmol/g) butyrate [responders: 13.2 (8.63-18.4) compared with nonresponders: 22.3 (12.0-32.0); P = 0.03], acetate [responders: 49.9 (46.4-68.4) compared with nonresponders: 70.4 (57.0-95.5); P = 0.027], phenylacetate [responders: 0.175 (0.013-0.611) compared with nonresponders: 0.943 (0.438-1.35); P = 0.021], and a higher microbiota richness [315 (269-347) compared with nonresponders: 243 (205-297); P = 0.015] in feces than nonresponders. Responders consumed (portions/1000 kcal/d) more confectionery products [responders: 0.55 (0.38-0.72) compared with nonresponders: 0.19 (0.01-0.38); P = 0.045]. A multicomponent model using fecal parameters, dietary data, and clinical and immunological parameters predicted response to EEN with 78% accuracy (sensitivity: 80%; specificity: 77%; positive predictive value: 71%; negative predictive value: 85%). Higher taxon abundance from Ruminococcaceae, Lachnospiraceae, and Bacteroides and phenylacetate, butyrate, and acetate were the most influential variables in predicting lack of response to EEN. CONCLUSIONS: We identify microbial signals and diet-related metabolites in feces, which could comprise targets for pretreatment optimization and personalized nutritional therapy in pediatric CD.
Civil Engineering School of Engineering University of Glasgow Glasgow United Kingdom
Department of Food Science Czech University of Life Sciences Prague Prague Czech Republic
Organisms and Ecosystems Earlham Institute Norwich United Kingdom
School of Infection and Inflammation University of Glasgow Glasgow United Kingdom
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc24014411
- 003
- CZ-PrNML
- 005
- 20240905133306.0
- 007
- ta
- 008
- 240725s2024 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1016/j.ajcnut.2023.12.027 $2 doi
- 035 __
- $a (PubMed)38569785
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Nichols, Ben $u Human Nutrition, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, United Kingdom
- 245 10
- $a Gut metabolome and microbiota signatures predict response to treatment with exclusive enteral nutrition in a prospective study in children with active Crohn's disease / $c B. Nichols, A. Briola, M. Logan, J. Havlik, A. Mascellani, K. Gkikas, S. Milling, UZ. Ijaz, C. Quince, V. Svolos, RK. Russell, R. Hansen, K. Gerasimidis
- 520 9_
- $a BACKGROUND: Predicting response to exclusive enteral nutrition (EEN) in active Crohn's disease (CD) could lead to therapy personalization and pretreatment optimization. OBJECTIVES: This study aimed to explore the ability of pretreatment parameters to predict fecal calprotectin (FCal) levels at EEN completion in a prospective study in children with CD. METHODS: In children with active CD, clinical parameters, dietary intake, cytokines, inflammation-related blood proteomics, and diet-related metabolites, metabolomics and microbiota in feces, were measured before initiation of 8 wk of EEN. Prediction of FCal levels at EEN completion was performed using machine learning. Data are presented with medians (IQR). RESULTS: Of 37 patients recruited, 15 responded (FCal < 250 μg/g) to EEN (responders) and 22 did not (nonresponders). Clinical and immunological parameters were not associated with response to EEN. Responders had lesser (μmol/g) butyrate [responders: 13.2 (8.63-18.4) compared with nonresponders: 22.3 (12.0-32.0); P = 0.03], acetate [responders: 49.9 (46.4-68.4) compared with nonresponders: 70.4 (57.0-95.5); P = 0.027], phenylacetate [responders: 0.175 (0.013-0.611) compared with nonresponders: 0.943 (0.438-1.35); P = 0.021], and a higher microbiota richness [315 (269-347) compared with nonresponders: 243 (205-297); P = 0.015] in feces than nonresponders. Responders consumed (portions/1000 kcal/d) more confectionery products [responders: 0.55 (0.38-0.72) compared with nonresponders: 0.19 (0.01-0.38); P = 0.045]. A multicomponent model using fecal parameters, dietary data, and clinical and immunological parameters predicted response to EEN with 78% accuracy (sensitivity: 80%; specificity: 77%; positive predictive value: 71%; negative predictive value: 85%). Higher taxon abundance from Ruminococcaceae, Lachnospiraceae, and Bacteroides and phenylacetate, butyrate, and acetate were the most influential variables in predicting lack of response to EEN. CONCLUSIONS: We identify microbial signals and diet-related metabolites in feces, which could comprise targets for pretreatment optimization and personalized nutritional therapy in pediatric CD.
- 650 _2
- $a dítě $7 D002648
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a Crohnova nemoc $x terapie $x metabolismus $7 D003424
- 650 _2
- $a enterální výživa $7 D004750
- 650 _2
- $a prospektivní studie $7 D011446
- 650 _2
- $a indukce remise $7 D012074
- 650 12
- $a mikrobiota $7 D064307
- 650 _2
- $a metabolom $7 D055442
- 650 _2
- $a butyráty $7 D002087
- 650 _2
- $a acetáty $7 D000085
- 650 _2
- $a fenylacetáty $7 D010648
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Briola, Anny $u Human Nutrition, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, United Kingdom
- 700 1_
- $a Logan, Michael $u Human Nutrition, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, United Kingdom
- 700 1_
- $a Havlik, Jaroslav $u Department of Food Science, Czech University of Life Sciences Prague, Prague, Czech Republic
- 700 1_
- $a Mascellani, Anna $u Department of Food Science, Czech University of Life Sciences Prague, Prague, Czech Republic
- 700 1_
- $a Gkikas, Konstantinos $u Human Nutrition, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, United Kingdom
- 700 1_
- $a Milling, Simon $u School of Infection and Inflammation, University of Glasgow, Glasgow, United Kingdom
- 700 1_
- $a Ijaz, Umer Zeeshan $u Civil Engineering, School of Engineering, University of Glasgow, Glasgow, United Kingdom
- 700 1_
- $a Quince, Christopher $u Organisms and Ecosystems, Earlham Institute, Norwich, United Kingdom
- 700 1_
- $a Svolos, Vaios $u Human Nutrition, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, United Kingdom
- 700 1_
- $a Russell, Richard K $u Department of Paediatric Gastroenterology, Hepatology and Nutrition, Royal Hospital for Children and Young People, Edinburgh, United Kingdom
- 700 1_
- $a Hansen, Richard $u Department of Paediatric Gastroenterology, Hepatology and Nutrition, Royal Hospital for Children, Glasgow, United Kingdom; Department of Child Health, Division of Clinical and Molecular Medicine, School of Medicine, University of Dundee, Dundee, United Kingdom
- 700 1_
- $a Gerasimidis, Konstantinos $u Human Nutrition, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, United Kingdom. Electronic address: Konstantinos.gerasimidis@glasgow.ac.uk
- 773 0_
- $w MED00000237 $t The American journal of clinical nutrition $x 1938-3207 $g Roč. 119, č. 4 (2024), s. 885-895
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/38569785 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20240725 $b ABA008
- 991 __
- $a 20240905133300 $b ABA008
- 999 __
- $a ok $b bmc $g 2143900 $s 1226277
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2024 $b 119 $c 4 $d 885-895 $e 20240219 $i 1938-3207 $m The American journal of clinical nutrition $n Am J Clin Nutr $x MED00000237
- LZP __
- $a Pubmed-20240725
