Decoding human cytomegalovirus for the development of innovative diagnostics to detect congenital infection
- PMID: 38146009
- PMCID: PMC10837078
- DOI: 10.1038/s41390-023-02957-9
Decoding human cytomegalovirus for the development of innovative diagnostics to detect congenital infection
Abstract
Cytomegalovirus is the most common cause of congenital infectious disease and the leading nongenetic etiology of sensorineural hearing loss. Although most infected neonates are asymptomatic at birth, congenital cytomegalovirus infection is responsible for nearly 400 infant deaths annually in the United States and may lead to significant long-term neurodevelopmental impairments in survivors. The resulting financial and social burdens of congenital cytomegalovirus infection have led many medical centers to initiate targeted testing after birth, with a growing advocacy to advance universal newborn screening. While no cures or vaccines are currently available to eliminate or prevent cytomegalovirus infection, much has been learned over the last five years regarding disease pathophysiology and viral replication cycles that may enable the development of innovative diagnostics and therapeutics. This Review will detail our current understanding of congenital cytomegalovirus infection, while focusing our discussion on routine and emerging diagnostics for viral detection, quantification, and long-term prognostication. IMPACT: This review highlights our current understanding of the fetal transmission of human cytomegalovirus. It details clinical signs and physical findings of congenital cytomegalovirus infection. This submission discusses currently available cytomegalovirus diagnostics and introduces emerging platforms that promise improved sensitivity, specificity, limit of detection, viral quantification, detection of genomic antiviral resistance, and infection staging (primary, latency, reactivation, reinfection).
© 2023. The Author(s).
Conflict of interest statement
T.G. and M.V. that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript. S.M.L., S.I.F., and M.S. report that they are cofounders of MelioLabs, Inc. an organization or entity that has a financial or non-financial interest in the subject matter or materials discussed in this Review. While MelioLabs is investigating the use of a high-resolution melt platform for pathogen detection, the company did not provide any financial support (such as honoraria or educational grants) or editorial influence for this manuscript.
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