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Metabolic fingerprinting of systemic sclerosis: a systematic review

Introduction: Systemic sclerosis (SSc) is a chronic autoimmune disease, marked by an unpredictable course, high morbidity, and increased mortality risk that occurs especially in the diffuse and rapidly progressive forms of the disease, characterized by fibrosis of the skin and internal organs and en...

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Autores principales: Morales-González, Victoria, Galeano-Sánchez, Daniel, Covaleda-Vargas, Jaime Enrique, Rodriguez, Yhojan, Monsalve, Diana M., Pardo-Rodriguez, Daniel, Cala, Mónica P., Acosta-Ampudia, Yeny, Ramírez-Santana, Carolina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442829/
https://www.ncbi.nlm.nih.gov/pubmed/37614441
http://dx.doi.org/10.3389/fmolb.2023.1215039
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author Morales-González, Victoria
Galeano-Sánchez, Daniel
Covaleda-Vargas, Jaime Enrique
Rodriguez, Yhojan
Monsalve, Diana M.
Pardo-Rodriguez, Daniel
Cala, Mónica P.
Acosta-Ampudia, Yeny
Ramírez-Santana, Carolina
author_facet Morales-González, Victoria
Galeano-Sánchez, Daniel
Covaleda-Vargas, Jaime Enrique
Rodriguez, Yhojan
Monsalve, Diana M.
Pardo-Rodriguez, Daniel
Cala, Mónica P.
Acosta-Ampudia, Yeny
Ramírez-Santana, Carolina
author_sort Morales-González, Victoria
collection PubMed
description Introduction: Systemic sclerosis (SSc) is a chronic autoimmune disease, marked by an unpredictable course, high morbidity, and increased mortality risk that occurs especially in the diffuse and rapidly progressive forms of the disease, characterized by fibrosis of the skin and internal organs and endothelial dysfunction. Recent studies suggest that the identification of altered metabolic pathways may play a key role in understanding the pathophysiology of the disease. Therefore, metabolomics might be pivotal in a better understanding of these pathogenic mechanisms. Methods: Through a systematic review of the literature following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines (PRISMA), searches were done in the PubMed, EMBASE, Web of Science, and Scopus databases from 2000 to September 2022. Three researchers independently reviewed the literature and extracted the data based on predefined inclusion and exclusion criteria. Results: Of the screened studies, 26 fulfilled the inclusion criteria. A total of 151 metabolites were differentially distributed between SSc patients and healthy controls (HC). The main deregulated metabolites were those derived from amino acids, specifically homocysteine (Hcy), proline, alpha-N-phenylacetyl-L-glutamine, glutamine, asymmetric dimethylarginine (ADMA), citrulline and ornithine, kynurenine (Kyn), and tryptophan (Trp), as well as acylcarnitines associated with long-chain fatty acids and tricarboxylic acids such as citrate and succinate. Additionally, differences in metabolic profiling between SSc subtypes were identified. The diffuse cutaneous systemic sclerosis (dcSSc) subtype showed upregulated amino acid-related pathways involved in fibrosis, endothelial dysfunction, and gut dysbiosis. Lastly, potential biomarkers were evaluated for the diagnosis of SSc, the identification of the dcSSc subtype, pulmonary arterial hypertension, and interstitial lung disease. These potential biomarkers are within amino acids, nucleotides, carboxylic acids, and carbohydrate metabolism. Discussion: The altered metabolite mechanisms identified in this study mostly point to perturbations in amino acid-related pathways, fatty acid beta-oxidation, and in the tricarboxylic acid cycle, possibly associated with inflammation, vascular damage, fibrosis, and gut dysbiosis. Further studies in targeted metabolomics are required to evaluate potential biomarkers for diagnosis, prognosis, and treatment response.
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spelling pubmed-104428292023-08-23 Metabolic fingerprinting of systemic sclerosis: a systematic review Morales-González, Victoria Galeano-Sánchez, Daniel Covaleda-Vargas, Jaime Enrique Rodriguez, Yhojan Monsalve, Diana M. Pardo-Rodriguez, Daniel Cala, Mónica P. Acosta-Ampudia, Yeny Ramírez-Santana, Carolina Front Mol Biosci Molecular Biosciences Introduction: Systemic sclerosis (SSc) is a chronic autoimmune disease, marked by an unpredictable course, high morbidity, and increased mortality risk that occurs especially in the diffuse and rapidly progressive forms of the disease, characterized by fibrosis of the skin and internal organs and endothelial dysfunction. Recent studies suggest that the identification of altered metabolic pathways may play a key role in understanding the pathophysiology of the disease. Therefore, metabolomics might be pivotal in a better understanding of these pathogenic mechanisms. Methods: Through a systematic review of the literature following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines (PRISMA), searches were done in the PubMed, EMBASE, Web of Science, and Scopus databases from 2000 to September 2022. Three researchers independently reviewed the literature and extracted the data based on predefined inclusion and exclusion criteria. Results: Of the screened studies, 26 fulfilled the inclusion criteria. A total of 151 metabolites were differentially distributed between SSc patients and healthy controls (HC). The main deregulated metabolites were those derived from amino acids, specifically homocysteine (Hcy), proline, alpha-N-phenylacetyl-L-glutamine, glutamine, asymmetric dimethylarginine (ADMA), citrulline and ornithine, kynurenine (Kyn), and tryptophan (Trp), as well as acylcarnitines associated with long-chain fatty acids and tricarboxylic acids such as citrate and succinate. Additionally, differences in metabolic profiling between SSc subtypes were identified. The diffuse cutaneous systemic sclerosis (dcSSc) subtype showed upregulated amino acid-related pathways involved in fibrosis, endothelial dysfunction, and gut dysbiosis. Lastly, potential biomarkers were evaluated for the diagnosis of SSc, the identification of the dcSSc subtype, pulmonary arterial hypertension, and interstitial lung disease. These potential biomarkers are within amino acids, nucleotides, carboxylic acids, and carbohydrate metabolism. Discussion: The altered metabolite mechanisms identified in this study mostly point to perturbations in amino acid-related pathways, fatty acid beta-oxidation, and in the tricarboxylic acid cycle, possibly associated with inflammation, vascular damage, fibrosis, and gut dysbiosis. Further studies in targeted metabolomics are required to evaluate potential biomarkers for diagnosis, prognosis, and treatment response. Frontiers Media S.A. 2023-08-08 /pmc/articles/PMC10442829/ /pubmed/37614441 http://dx.doi.org/10.3389/fmolb.2023.1215039 Text en Copyright © 2023 Morales-González, Galeano-Sánchez, Covaleda-Vargas, Rodriguez, Monsalve, Pardo-Rodriguez, Cala, Acosta-Ampudia and Ramírez-Santana. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Morales-González, Victoria
Galeano-Sánchez, Daniel
Covaleda-Vargas, Jaime Enrique
Rodriguez, Yhojan
Monsalve, Diana M.
Pardo-Rodriguez, Daniel
Cala, Mónica P.
Acosta-Ampudia, Yeny
Ramírez-Santana, Carolina
Metabolic fingerprinting of systemic sclerosis: a systematic review
title Metabolic fingerprinting of systemic sclerosis: a systematic review
title_full Metabolic fingerprinting of systemic sclerosis: a systematic review
title_fullStr Metabolic fingerprinting of systemic sclerosis: a systematic review
title_full_unstemmed Metabolic fingerprinting of systemic sclerosis: a systematic review
title_short Metabolic fingerprinting of systemic sclerosis: a systematic review
title_sort metabolic fingerprinting of systemic sclerosis: a systematic review
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442829/
https://www.ncbi.nlm.nih.gov/pubmed/37614441
http://dx.doi.org/10.3389/fmolb.2023.1215039
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