Blood genome expression profiles in infants with congenital cytomegalovirus infection

Christopher P. Ouellette, Pablo J. Sánchez, Zhaohui Xu, Derek Blankenship, Fiker Zeray, Andrea Ronchi, Masako Shimamura, Damien Chaussabel, Lizette Lee, Kris E. Owen, Angela G. Shoup, Octavio Ramilo and Asuncion Mejias ()
Additional contact information
Christopher P. Ouellette: Nationwide Children’s Hospital –The Ohio State University College of Medicine
Pablo J. Sánchez: Nationwide Children’s Hospital –The Ohio State University College of Medicine
Zhaohui Xu: Abigail Wexner Research Institute at Nationwide Children’s Hospital
Derek Blankenship: DB Analytics LLC
Fiker Zeray: Children’s Medical Center Dallas
Andrea Ronchi: University of Texas Southwestern Medical Center
Masako Shimamura: Nationwide Children’s Hospital –The Ohio State University College of Medicine
Damien Chaussabel: Sidra Medical and Research Center
Lizette Lee: University of Texas Southwestern Medical Center
Kris E. Owen: Children’s Medical Center Dallas
Angela G. Shoup: University of Texas Southwestern Medical Center
Octavio Ramilo: Nationwide Children’s Hospital –The Ohio State University College of Medicine
Asuncion Mejias: Nationwide Children’s Hospital –The Ohio State University College of Medicine

Nature Communications, 2020, vol. 11, issue 1, 1-11

Abstract: Abstract Congenital CMV infection (cCMVi) affects 0.5–1% of all live births worldwide, making it the leading cause of sensorineural hearing loss (SNHL) in childhood. The majority of infants with cCMVi have normal hearing at birth, but are at risk of developing late-onset SNHL. Currently, we lack reliable biomarkers to predict the development of SNHL in these infants. Here, we evaluate blood transcriptional profiles in 80 infants with cCMVi (49 symptomatic, 31 asymptomatic), enrolled in the first 3 weeks of life, and followed for 3 years to assess emergence of late-onset SNHL. The biosignatures of symptomatic and asymptomatic cCMVi are indistinguishable, suggesting that immune responses of infants with asymptomatic and symptomatic cCMVi are not different. Random forest analyses of initial samples in infants with cCMVi, irrespective of their clinical classification, identify a 16-gene classifier signature associated with the development of SNHL with 92% accuracy, suggesting its potential value as a biomarker.

Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-020-17178-5 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-17178-5

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-020-17178-5

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().