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Metabolomic Profiling in Children with Celiac Disease: Beyond the Gluten-Free Diet

Celiac disease (CD) is included in the group of complex or multifactorial diseases, i.e., those caused by the interaction of genetic and environmental factors. Despite a growing understanding of the pathophysiological mechanisms of the disease, diagnosis is still often delayed and there are no effec...

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Autores principales: Martín-Masot, Rafael, Jiménez-Muñoz, María, Herrador-López, Marta, Navas-López, Víctor Manuel, Obis, Elia, Jové, Mariona, Pamplona, Reinald, Nestares, Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346311/
https://www.ncbi.nlm.nih.gov/pubmed/37447198
http://dx.doi.org/10.3390/nu15132871
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author Martín-Masot, Rafael
Jiménez-Muñoz, María
Herrador-López, Marta
Navas-López, Víctor Manuel
Obis, Elia
Jové, Mariona
Pamplona, Reinald
Nestares, Teresa
author_facet Martín-Masot, Rafael
Jiménez-Muñoz, María
Herrador-López, Marta
Navas-López, Víctor Manuel
Obis, Elia
Jové, Mariona
Pamplona, Reinald
Nestares, Teresa
author_sort Martín-Masot, Rafael
collection PubMed
description Celiac disease (CD) is included in the group of complex or multifactorial diseases, i.e., those caused by the interaction of genetic and environmental factors. Despite a growing understanding of the pathophysiological mechanisms of the disease, diagnosis is still often delayed and there are no effective biomarkers for early diagnosis. The only current treatment, a gluten-free diet (GFD), can alleviate symptoms and restore intestinal villi, but its cellular effects remain poorly understood. To gain a comprehensive understanding of CD’s progression, it is crucial to advance knowledge across various scientific disciplines and explore what transpires after disease onset. Metabolomics studies hold particular significance in unravelling the complexities of multifactorial and multisystemic disorders, where environmental factors play a significant role in disease manifestation and progression. By analyzing metabolites, we can gain insights into the reasons behind CD’s occurrence, as well as better comprehend the impact of treatment initiation on patients. In this review, we present a collection of articles that showcase the latest breakthroughs in the field of metabolomics in pediatric CD, with the aim of trying to identify CD biomarkers for both early diagnosis and treatment monitoring. These advancements shed light on the potential of metabolomic analysis in enhancing our understanding of the disease and improving diagnostic and therapeutic strategies. More studies need to be designed to cover metabolic profiles in subjects at risk of developing the disease, as well as those analyzing biomarkers for follow-up treatment with a GFD.
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spelling pubmed-103463112023-07-15 Metabolomic Profiling in Children with Celiac Disease: Beyond the Gluten-Free Diet Martín-Masot, Rafael Jiménez-Muñoz, María Herrador-López, Marta Navas-López, Víctor Manuel Obis, Elia Jové, Mariona Pamplona, Reinald Nestares, Teresa Nutrients Review Celiac disease (CD) is included in the group of complex or multifactorial diseases, i.e., those caused by the interaction of genetic and environmental factors. Despite a growing understanding of the pathophysiological mechanisms of the disease, diagnosis is still often delayed and there are no effective biomarkers for early diagnosis. The only current treatment, a gluten-free diet (GFD), can alleviate symptoms and restore intestinal villi, but its cellular effects remain poorly understood. To gain a comprehensive understanding of CD’s progression, it is crucial to advance knowledge across various scientific disciplines and explore what transpires after disease onset. Metabolomics studies hold particular significance in unravelling the complexities of multifactorial and multisystemic disorders, where environmental factors play a significant role in disease manifestation and progression. By analyzing metabolites, we can gain insights into the reasons behind CD’s occurrence, as well as better comprehend the impact of treatment initiation on patients. In this review, we present a collection of articles that showcase the latest breakthroughs in the field of metabolomics in pediatric CD, with the aim of trying to identify CD biomarkers for both early diagnosis and treatment monitoring. These advancements shed light on the potential of metabolomic analysis in enhancing our understanding of the disease and improving diagnostic and therapeutic strategies. More studies need to be designed to cover metabolic profiles in subjects at risk of developing the disease, as well as those analyzing biomarkers for follow-up treatment with a GFD. MDPI 2023-06-25 /pmc/articles/PMC10346311/ /pubmed/37447198 http://dx.doi.org/10.3390/nu15132871 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Martín-Masot, Rafael
Jiménez-Muñoz, María
Herrador-López, Marta
Navas-López, Víctor Manuel
Obis, Elia
Jové, Mariona
Pamplona, Reinald
Nestares, Teresa
Metabolomic Profiling in Children with Celiac Disease: Beyond the Gluten-Free Diet
title Metabolomic Profiling in Children with Celiac Disease: Beyond the Gluten-Free Diet
title_full Metabolomic Profiling in Children with Celiac Disease: Beyond the Gluten-Free Diet
title_fullStr Metabolomic Profiling in Children with Celiac Disease: Beyond the Gluten-Free Diet
title_full_unstemmed Metabolomic Profiling in Children with Celiac Disease: Beyond the Gluten-Free Diet
title_short Metabolomic Profiling in Children with Celiac Disease: Beyond the Gluten-Free Diet
title_sort metabolomic profiling in children with celiac disease: beyond the gluten-free diet
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346311/
https://www.ncbi.nlm.nih.gov/pubmed/37447198
http://dx.doi.org/10.3390/nu15132871
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