Patterns of serological markers in transfusion-transmitted hepatitis C virus infection using second-generation HCV assays

Autor: Ed Bakker, Patricia J. van Exel-Oehlers, P. Nico Lelie, Irene Winkel, Jean-Pierre Allain, Cees L. van der Poel, Larry Minims, David S. Vallari, H. Theo M. Cuypers, Henk W. Reesink
Přispěvatelé: Other departments
Rok vydání: 1992
Předmět:
Zdroj: Journal of medical virology, 37(3), 203-209. Wiley-Liss Inc.
ISSN: 1096-9071
0146-6615
Popis: A semiautomated dot blot assay and cDNA polymerase chain reaction (PCR) were used to study longitudinal anti-hepatitis C virus (HCV) recognition patterns in relation to presence of HCV-RNA in transfusion recipients and their infectious donors. In 9 recipients, 4 different patterns of HCV infection were observed: (A) persistent HCV carriage accompanied by chronic hepatitis in 6, (B) acute resolved hepatitis, but persistent HCV replication in one, and (C) continuous HCV replication without hepatitis in one and (D) acute resolved hepatitis with clearance of infection in one. This last self-limited infection was characterized by the disappearance of HCV-RNA as well as anti-HCV reactivity. In contrast, antibody reactivity persisted in 7 of 8 patients with chronic HCV infection who could be followed until 1990. Seven of the 9 recipients developed antibodies to all recombinant peptides in dot blot assay; one became positive for anti-C33 and anti-core and one developed anti-core only. The sequence of appearance of antibodies differed among individual patients. In 7 patients with full anti-HCV recognition patterns, the sequence of events was (mean and limits in days after transfusion): onset of hepatitis at day 50 (22-74), seroconversion of anti-C33 at day 91 (59-129), anti-core at day 133 (54-203), and anti-C100 at day 143 (59-365). The incorporation of C33 and core proteins, in addition to C100, in the second generation anti-HCV ELISA enhanced the detection rate in the HCV-infected transfusion recipients from 7/9 (78%) to 9/9 (100%).(ABSTRACT TRUNCATED AT 250 WORDS)
Databáze: OpenAIRE