Correlation of biological serum markers with the degree of hepatic fibrosis and necroinflammatory activity in hepatitis C and schistosomiasis patients
| Autor: | Clarice Neuenschwander Lins de Morais, Bruno de Melo Carvalho, Wlademir Gomes de Melo, Fábio Lopes de Melo, Edmundo Pessoa de Almeida Lopes, Ana Lúcia Coutinho Domingues, Norma Jucá, João Roberto Maciel Martins, George Tadeu Nunes Diniz, Silvia Maria Lucena Montenegro |
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| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: | |
| Zdroj: | Memorias do Instituto Oswaldo Cruz, Vol 105, Iss 4, Pp 460-466 (2010) |
| Druh dokumentu: | article |
| ISSN: | 0074-0276 1678-8060 |
| DOI: | 10.1590/S0074-02762010000400018 |
| Popis: | Liver biopsy is the gold-standard method to stage fibrosis; however, it is an invasive procedure and is potentially dangerous. The main objective of this study was to evaluate biological markers, such as cytokines IL-13, IFN-γ, TNF-α and TGF-β, platelets, bilirubins (Bil), alanine aminotransferase (ALT) and aspartate aminotransferase (AST), total proteins, γ-glutamil transferase (γ-GT) and alkaline phosphatase (AP), that could be used to predict the severity of hepatic fibrosis in schistosomiasis and hepatitis C (HC) as isolated diseases or co-infections. The following patient groups were selected: HC (n = 39), HC/hepatosplenic schistosomiasis (HSS) (n = 19), HSS (n = 22) and a control group (n = 13). ANOVA and ROC curves were used for statistical analysis. P < 0.05 was considered significant. With HC patients we showed that TNF-α (p = 0.020) and AP (p = 0.005) could differentiate mild and severe fibrosis. With regard to necroinflammatory activity, AST (p = 0.002), γ-GT (p = 0.034) and AP (p = 0.001) were the best markers to differentiate mild and severe activity. In HC + HSS patients, total Bil (p = 0.008) was capable of differentiating between mild and severe fibrosis. In conclusion, our study was able to suggest biological markers that are non-invasive candidates to evaluate fibrosis and necroinflammatory activity in HC and HC + HSS. |
| Databáze: | Directory of Open Access Journals |
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