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Multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity

This review intends to uncover how information from large-scale genetic profiling (whole genome sequencing, and whole exome sequencing) of nonalcoholic fatty liver disease (NAFLD), as well as information from circulating transcriptomics (cell-free miRNAs) and metabolomics, contributes to the underst...

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Detalles Bibliográficos
Autores principales: Pirola, Carlos J, Sookoian, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5910543/
https://www.ncbi.nlm.nih.gov/pubmed/29686467
http://dx.doi.org/10.3748/wjg.v24.i15.1601
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author Pirola, Carlos J
Sookoian, Silvia
author_facet Pirola, Carlos J
Sookoian, Silvia
author_sort Pirola, Carlos J
collection PubMed
description This review intends to uncover how information from large-scale genetic profiling (whole genome sequencing, and whole exome sequencing) of nonalcoholic fatty liver disease (NAFLD), as well as information from circulating transcriptomics (cell-free miRNAs) and metabolomics, contributes to the understanding of NAFLD pathogenesis. A further aim is to address the question of whether OMICs information is ready to be implemented in the clinics. The available evidence suggests that any new knowledge pertaining to molecular signatures associated with NAFLD and nonalcoholic steatohepatitis should be promptly translated into the clinical setting. Nevertheless, rigorous steps that must include validation and replication are mandatory before utilizing OMICs biomarkers in diagnostics to identify patients at risk of advanced disease, including liver cancer.
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spelling pubmed-59105432018-04-23 Multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity Pirola, Carlos J Sookoian, Silvia World J Gastroenterol Minireviews This review intends to uncover how information from large-scale genetic profiling (whole genome sequencing, and whole exome sequencing) of nonalcoholic fatty liver disease (NAFLD), as well as information from circulating transcriptomics (cell-free miRNAs) and metabolomics, contributes to the understanding of NAFLD pathogenesis. A further aim is to address the question of whether OMICs information is ready to be implemented in the clinics. The available evidence suggests that any new knowledge pertaining to molecular signatures associated with NAFLD and nonalcoholic steatohepatitis should be promptly translated into the clinical setting. Nevertheless, rigorous steps that must include validation and replication are mandatory before utilizing OMICs biomarkers in diagnostics to identify patients at risk of advanced disease, including liver cancer. Baishideng Publishing Group Inc 2018-04-21 2018-04-21 /pmc/articles/PMC5910543/ /pubmed/29686467 http://dx.doi.org/10.3748/wjg.v24.i15.1601 Text en ©The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Minireviews
Pirola, Carlos J
Sookoian, Silvia
Multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity
title Multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity
title_full Multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity
title_fullStr Multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity
title_full_unstemmed Multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity
title_short Multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity
title_sort multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity
topic Minireviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5910543/
https://www.ncbi.nlm.nih.gov/pubmed/29686467
http://dx.doi.org/10.3748/wjg.v24.i15.1601
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