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Biomarker Discovery in Liver Disease Using Untargeted Metabolomics in Plasma and Saliva.
Daniels, Noah J; Hershberger, Courtney E; Kerosky, Matthew; Wehrle, Chase J; Raj, Roma; Aykun, Nihal; Allende, Daniela S; Aucejo, Federico N; Rotroff, Daniel M.
Afiliação
  • Daniels NJ; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44106, USA.
  • Hershberger CE; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44106, USA.
  • Kerosky M; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44106, USA.
  • Wehrle CJ; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44106, USA.
  • Raj R; Department of HPB Surgery and Liver Transplantation, Cleveland Clinic, Cleveland, OH 44106, USA.
  • Aykun N; Department of HPB Surgery and Liver Transplantation, Cleveland Clinic, Cleveland, OH 44106, USA.
  • Allende DS; Department of HPB Surgery and Liver Transplantation, Cleveland Clinic, Cleveland, OH 44106, USA.
  • Aucejo FN; Department of HPB Surgery and Liver Transplantation, Cleveland Clinic, Cleveland, OH 44106, USA.
  • Rotroff DM; Department of Pathology, Cleveland Clinic, Cleveland, OH 44106, USA.
Int J Mol Sci ; 25(18)2024 Sep 21.
Article em En | MEDLINE | ID: mdl-39337628
ABSTRACT
Chronic liver diseases, including non-alcoholic fatty liver disease (NAFLD), cirrhosis, and hepatocellular carcinoma (HCC), continue to be a global health burden with a rise in incidence and mortality, necessitating a need for the discovery of novel biomarkers for HCC detection. This study aimed to identify novel non-invasive biomarkers for these different liver disease states. We performed untargeted metabolomics in plasma (Healthy = 9, NAFLD = 14, Cirrhosis = 10, HCC = 34) and saliva samples (Healthy = 9, NAFLD = 14, Cirrhosis = 10, HCC = 22) to test for significant metabolite associations with each disease state. Additionally, we identified enriched biochemical pathways and analyzed correlations of metabolites between, and within, the two biofluids. We identified two salivary metabolites and 28 plasma metabolites significantly associated with at least one liver disease state. No metabolites were significantly correlated between biofluids, but we did identify numerous metabolites correlated within saliva and plasma, respectively. Pathway analysis revealed significant pathways enriched within plasma metabolites for several disease states. Our work provides a detailed analysis of the altered metabolome at various stages of liver disease while providing some context to altered pathways and relationships between metabolites.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saliva / Biomarcadores / Metaboloma / Metabolômica / Hepatopatia Gordurosa não Alcoólica Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Mol Sci / Int. j. mol. sci. (Online) / International journal of molecular sciences (Online) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saliva / Biomarcadores / Metaboloma / Metabolômica / Hepatopatia Gordurosa não Alcoólica Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Mol Sci / Int. j. mol. sci. (Online) / International journal of molecular sciences (Online) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça