Metabolomics approach to understand the hepatitis C virus induced hepatocellular carcinoma using LC-ESI-MS/MS

[Display omitted] Hepatocellular carcinoma (HCC) is a typical cancer that has region specified analysis with the incidence of hepatitis C virus (HCV) infection. This study was conducted to improve the understanding of metabolic alterations associated with HCV induced HCC which can open up new strate...

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Published inArabian journal of chemistry Vol. 14; no. 1; p. 102907
Main Authors Kumari, Sindhia, Ali, Arslan, Roome, Talat, Razzak, Anam, Iqbal, Ayesha, Jabbar Siddiqui, Amna, Muhammad Zahid Azam, Syed, Shaikh, Hafeezullah, El-Seedi, Hesham R., Musharraf, Syed Ghulam
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.01.2021
Elsevier
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Summary:[Display omitted] Hepatocellular carcinoma (HCC) is a typical cancer that has region specified analysis with the incidence of hepatitis C virus (HCV) infection. This study was conducted to improve the understanding of metabolic alterations associated with HCV induced HCC which can open up new strategies to monitor the high risk of HCC. Samples of the subjects with HCV, HCV induced chronic liver disease (CLD), HCV induced HCC, and healthy controls (HS) were collected after complete blood count (CBC), hepatitis viral load, α-fetoprotein (AFP), liver function tests, and albumin. A total of 147 serum samples including HCC (n = 11), CLD (n = 24), HCV (n = 71), and HS (n = 41) were analyzed by LC-ESI-MS/MS. The 21 compounds were found to be responsible for group discrimination after the application of chemometric tools. N-fructosyl tyrosine and hydroxyindoleacetic acid showed an increase in level whereas L-aspartyl-L-phenylalanine and thyroxine showed a consistent decrease in the progression of HCV to HCC in comparison with HS indicating their importance for early detection. The biological pathways such as glycerophospholipid metabolism, phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism and tryptophan metabolism showed alteration in some metabolites. The method was internally validated by ROC plot showing AUC value for HS, HCV, CLD, and HCC as 0.99, 1, 1, and 0.89, respectively; while 16 blind samples were also validated with 93% specificity. The untargeted metabolomics investigation of HCV, CLD, and HCC can help to understand the progression of HCV-induced HCC. It reveals significant differences in metabolites to predict prognostic and diagnostic markers.
ISSN:1878-5352
1878-5379
1878-5379
DOI:10.1016/j.arabjc.2020.11.013