Suppr超能文献

Hepatitis C virus screening and clinical monitoring of biomarkers in patients undergoing hemodialysis.

作者信息

Maia Laura Patrícia Viana, Martins-Filho Olindo Assis, Teixeira-Carvalho Andréa, Speziali Elaine, Vermhren Rolandro, Lira Edson Fonseca, Lima Tatiane Amabile, Braga Wornei Silva, Torres Kátia Luz, Malheiro Adriana

机构信息

Fundação de Hematologia e Hemoterapia do Amazonas-HEMOAM, Manaus, Amazonas, Brazil.

出版信息

J Med Virol. 2009 Jul;81(7):1220-31. doi: 10.1002/jmv.21521.

Abstract

In this study, 395 volunteers were enrolled to investigate the seroprevalence of hepatitis C virus, the immunological and the alanine aminotransferase (ALT) biomarkers amongst hemodialysis patients, living in Manaus, Brazil. An overall seroprevalence of 13.9% was found in the hemodialysis patients. Analysis of seroconversion patterns demonstrated that most patients with HCV seroconverted up to 10 years following the first hemodialysis session. Anti-NS5 antibody was detectable in 60.4% of patients with HCV. A lower percentage of circulating CD3(+) and CD4(+) T-cells was found in patients seronegative for HCV, whereas a higher frequency of CD8(+) T-cells was the hallmark of patients with HCV. An overall low activation state of monocytes and eosinophils were observed in hemodialysis patients. In contrast, a higher frequency of activated neutrophils was observed in patients with HCV, selectively in the NS5+ subgroup. All hemodialysis patients had a higher percentage of activated lymphocytes, with the higher activation state in patients with NS5- reactivity. Higher ALT levels were observed in patients with HCV, especially in the NS5+ subgroup. Interestingly, the ALT levels were correlated negatively with the lymphocyte activation state, selectively in the NS5- subgroup, suggesting a protective role of these activated lymphocytes in patients with HCV. These findings reinforce the importance of the transmission of HCV among hemodialysis patients, suggesting that apart from the HCV screening, the serological and ALT biomarkers may represent important predictors of morbidity and/or mortality among patients undergoing hemodialysis.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验