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Identification of Serologic Markers for School-Aged Children With Congenital Rubella Syndrome.

Hyde, Terri B; Sato, Helena Keico; Hao, LiJuan; Flannery, Brendan; Zheng, Qi; Wannemuehler, Kathleen; Ciccone, Flávia Helena; de Sousa Marques, Heloisa; Weckx, Lily Yin; Sáfadi, Marco Aurélio; de Oliveira Moraes, Eliane; Pinhata, Marisa Mussi; Olbrich Neto, Jaime; Bevilacqua, Maria Cecilia; Tabith Junior, Alfredo; Monteiro, Tatiana Alves; Figueiredo, Cristina Adelaide; Andrus, Jon K; Reef, Susan E; Toscano, Cristiana M; Castillo-Solorzano, Carlos; Icenogle, Joseph P.
J Infect Dis ; 212(1): 57-66, 2015 Jul 01.
Artigo em Inglês | MEDLINE | ID: mdl-25362195


Congenital rubella syndrome (CRS) case identification is challenging in older children since laboratory markers of congenital rubella virus (RUBV) infection do not persist beyond age 12 months.


We enrolled children with CRS born between 1998 and 2003 and compared their immune responses to RUBV with those of their mothers and a group of similarly aged children without CRS. Demographic data and sera were collected. Sera were tested for anti-RUBV immunoglobulin G (IgG), IgG avidity, and IgG response to the 3 viral structural proteins (E1, E2, and C), reflected by immunoblot fluorescent signals.


We enrolled 32 children with CRS, 31 mothers, and 62 children without CRS. The immunoblot signal strength to C and the ratio of the C signal to the RUBV-specific IgG concentration were higher (P < .029 for both) and the ratio of the E1 signal to the RUBV-specific IgG concentration lower (P = .001) in children with CRS, compared with their mothers. Compared with children without CRS, children with CRS had more RUBV-specific IgG (P < .001), a stronger C signal (P < .001), and a stronger E2 signal (P ≤ .001). Two classification rules for children with versus children without CRS gave 100% specificity with >65% sensitivity.


This study was the first to establish classification rules for identifying CRS in school-aged children, using laboratory biomarkers. These biomarkers should allow improved burden of disease estimates and monitoring of CRS control programs.