Dataset Information

Maternal neutralizing antibody and transmission of hepatitis C virus to infants.

ABSTRACT: To determine whether lower levels of hepatitis C virus (HCV)-specific neutralizing antibodies (nAb) are associated with an increased risk of mother-to-child transmission (MTCT) of HCV, HCV nAb titers were assessed in 63 mothers coinfected with HCV and human immunodeficiency virus (HIV) type 1. Of the mothers, 16 transmitted HCV to their infant, but no difference was detected between the ability of maternal plasma from transmitters and nontransmitters to neutralize heterologous HCV pseudoparticles (median nAb titer, 1:125 vs. 1:100; P = .23). In the setting of HIV/HCV coinfection, we found no evidence that HCV nAbs are associated with the prevention of MTCT of HCV.

SUBMITTER: Dowd KA

PROVIDER: S-EPMC2777710 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Maternal neutralizing antibody and transmission of hepatitis C virus to infants.

Dowd Kimberly A KA Hershow Ronald C RC Yawetz Sigal S Larussa Philip P Diaz Clemente C Landesman Sheldon H SH Paul Mary E ME Read Jennifer S JS Lu Ming M Thomas David L DL Netski Dale M DM Ray Stuart C SC

The Journal of infectious diseases 20081201 11

To determine whether lower levels of hepatitis C virus (HCV)-specific neutralizing antibodies (nAb) are associated with an increased risk of mother-to-child transmission (MTCT) of HCV, HCV nAb titers were assessed in 63 mothers coinfected with HCV and human immunodeficiency virus (HIV) type 1. Of the mothers, 16 transmitted HCV to their infant, but no difference was detected between the ability of maternal plasma from transmitters and nontransmitters to neutralize heterologous HCV pseudoparticle ...[more]

PMID: 18928374

Similar Datasets

Project description:ObjectiveDespite of antiviral drugs and successful treatment, an effective vaccine against hepatitis C virus (HCV) infection is still required. Recently, bioinformatic methods same as prediction algorithms, have greatly contributed to the use of peptides in the design of immunogenic vaccines. Therefore, finding more conserved sites on the surface glycoproteins (E1 and E2) of HCV, as major targets to design an effective vaccine against genetically different viruses in each genotype was the goal of the study.Materials and methodsIn this experimental study, 100 entire sequences of E1 and E2 were retrieved from the NCBI website and analyzed in terms of mutations and critical sites by Bioedit 7.7.9, MEGA X software. Furthermore, HCV-1a samples were obtained from some infected people in Iran, and reverse transcriptase-polymerase chain reaction (RTPCR) assay was optimized to amplify their E1 and E2 genes. Moreover, all three-dimensional structures of E1 and E2 downloaded from the PDB database were analyzed by YASARA. In the next step, three interest areas of humoral immunity in the E2 glycoprotein were evaluated. OSPREY3.0 protein design software was performed to increase the affinity to neutralizing antibodies in these areas.ResultsWe found the effective in silico binding affinity of residues in three broadly neutralizing epitopes of E2 glycoprotein. First, positions that have substitution capacity were detected in these epitopes. Furthermore, residues that have high stability for substitution in these situations were indicated. Then, the mutants with the strongest affinity to neutralize antibodies were predicted. I414M, T416S, I422V, I414M-T416S, and Q412N-I414M-T416S substitutions theoretically were exhibited as mutants with the best affinity binding.ConclusionUsing an innovative filtration strategy, the residues of E2 epitopes which have the best in silico binding affinity to neutralizing antibodies were exhibited and a distinct peptide library platform was designed.

Dataset Information

Maternal neutralizing antibody and transmission of hepatitis C virus to infants.

Publications

Maternal neutralizing antibody and transmission of hepatitis C virus to infants.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets