Introduction: Congenital (CI) and perinatal cytomegalovirus (CMV) infections (PI) can be linked to maternal CMV seropositivity, with fatal consequences in preterm newborns. GB genotyping has been used to analyze genotypic similarity in mothers and infants. The frequency of CMV infection in the context of maternal seropositivity and the viral gB genotypes as well as the genotypic similarity in mothers and preterm infants were investigated. Methodology: Saliva samples and dry blood spots (DBS) were taken weekly from preterm newborns from birth until the first month of life, and breast milk samples were taken from their mothers weekly during the first month of lactation. CMV IgG seroprevalence of the mothers and CI or PI in the infants were established. The gB status and genotypic similarities were established retrospectively in DBS and in the breast milk samples. Results: In total, 387 neonates and 375 mothers were enrolled. The maternal CMV-positive IgG serology was 97.3% (365/375). Neonatal CMV was found in 5.1% (20/387) of newborns, and one infant presented with CMV-compatible symptoms. CI was 2.5% and PI in the first month after birth was 11.8%. GB2 was the most prevalent genotype and was also the genotype preferentially transmitted to newborns by mothers with mixed infections. Conclusions: CMV PI and CI in preterm infants from highly seropositive mothers was high, but the rate of symptomatic infection was low. The prevalent genotype was gB2, and this genotype was preferentially transmitted to newborns by mothers with mixed infections.
We used nested multiplex polymerase chain reaction to determine the distribution of cytomegalovirus gB genotype in 30 Mexican children undergoing bone marrow transplantation. The genotypes were: gB1, 9/30 (30%); gB2, 8/30 (27%); gB3, 4/30 (13%), and gB4, 1/30 (3%); mixed genotypes were identified in 8/30 patients (27%). We conclude that the predominant genotypes identified were gB2 and gB1. The gB5 genotype was not detected, and a high proportion of mixed genotype was found.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.