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The metabolic fingerprint of chronic hepatitis C progression: Metabolome shifts and cutting-edge diagnostic options.
Deep, Amar; Swaroop, Suchit; Dubey, Durgesh; Rawat, Atul; Verma, Ajay; Baisya, Bikash; Parihar, Rashmi; Goel, Amit; Rungta, Sumit.
Afiliación
  • Deep A; Department of Medical Gastroenterology, KGMU, Lucknow, India.
  • Swaroop S; Experimental and Public Health Laboratory, Department of Zoology, Lucknow University, Lucknow, India.
  • Dubey D; Experimental and Public Health Laboratory, Department of Zoology, Lucknow University, Lucknow, India.
  • Rawat A; Centre of Biomedical Research, Lucknow, India.
  • Verma A; Centre of Biomedical Research, Lucknow, India.
  • Baisya B; Centre of Biomedical Research, Lucknow, India.
  • Parihar R; Centre of Biomedical Research, Lucknow, India.
  • Goel A; Centre of Biomedical Research, Lucknow, India.
  • Rungta S; Department of Medical Gastroenterology, SGPGIMS, Lucknow, India.
J Mol Recognit ; 37(1): e3066, 2024 01.
Article en En | MEDLINE | ID: mdl-37916582
Hepatitis C virus infection causes chronic diseases such as cirrhosis and hepatocellular carcinoma. Metabolomics research has been shown to be linked to pathophysiologic pathways in liver illnesses. The aim of this study was to investigate the serum metabolic profile of patients with chronic hepatitis C (CHC) infection and to identify underlying mechanisms as well as potential biomarkers associated with the disease. Nuclear magnetic resonance (NMR) was used to evaluate the sera of 83 patients with CHC virus and 52 healthy control volunteers (NMR). Then, multivariate statistical analysis was used to find distinguishing metabolites between the two groups. Sixteen out of 40 metabolites including include 3-HB, betaine, carnitine, creatinine, fucose, glutamine, glycerol, isopropanol, lysine, mannose, methanol, methionine, ornithine, proline, serine, and valine-were shown to be significantly different between the CHC and normal control (NC) groups (variable importance in projection >1 and p < 0.05). All the metabolic perturbations in this disease are associated with pathways of Glycine, serine, and threonine metabolism, glycerolipid metabolism, arginine and proline metabolism, aminoacyl-tRNA biosynthesis, cysteine and methionine metabolism, alanine, aspartate, and glutamate metabolism. Multivariate statistical analysis constructed using these expressed metabolites showed CHC patients can be discriminated from NCs with high sensitivity (90%) and specificity (99%). The metabolomics approach may expand the diagnostic armamentarium for patients with CHC while contributing to a comprehensive understanding of disease mechanisms.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hepatitis C Crónica Límite: Humans Idioma: En Revista: J Mol Recognit Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hepatitis C Crónica Límite: Humans Idioma: En Revista: J Mol Recognit Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido