Cargando…
Post-vaccine rotavirus genotype distribution in Nairobi County, Kenya
BACKGROUND: Rotaviruses are primary etiological agents of gastroenteritis in young children. In Kenya, G1P8 monovalent vaccine (Rotarix) was introduced in July 2014 for mandatory vaccination of all newborns at 6 and 10 weeks of age. Since then, no studies have been done to identify the rotavirus gen...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670220/ https://www.ncbi.nlm.nih.gov/pubmed/32898668 http://dx.doi.org/10.1016/j.ijid.2020.09.005 |
_version_ | 1783610695854587904 |
---|---|
author | Gikonyo, Joshua Ndung’u Mbatia, Betty Okanya, Patrick W. Obiero, George F.O. Sang, Carlene Steele, Duncan Nyangao, James |
author_facet | Gikonyo, Joshua Ndung’u Mbatia, Betty Okanya, Patrick W. Obiero, George F.O. Sang, Carlene Steele, Duncan Nyangao, James |
author_sort | Gikonyo, Joshua Ndung’u |
collection | PubMed |
description | BACKGROUND: Rotaviruses are primary etiological agents of gastroenteritis in young children. In Kenya, G1P8 monovalent vaccine (Rotarix) was introduced in July 2014 for mandatory vaccination of all newborns at 6 and 10 weeks of age. Since then, no studies have been done to identify the rotavirus genotypes circulating in Nairobi County, Kenya, following the vaccine introduction, hence the post-vaccine genotype distribution is not known. OBJECTIVES: The aim of this study was to determine the post-vaccine occurrence of rotavirus genotypes in children <5 years of age in Nairobi County, Kenya. METHODS: Stool samples were collected from children presenting with diarrhea for whom the vaccination status was card-confirmed. Fecal samples were analyzed for rotavirus antigen using a commercial enzyme immunoassay (EIA) kit, followed by characterization by polyacrylamide gel electrophoresis, RT-PCR, and nested PCR genotyping, targeting the most medically important genotypes. RESULTS: The strains observed included G1P[8] (38.8%), G9P[8] (20.4%), G2P[4] (12.2%), G3[P4] (6.1%), G2P[6] (4.1%), and G9P[6] (4.1%). Mixed genotype constellations G3P[4][8] were also detected (4.1%). Remarkably, an increased prevalence of G2 genotypes was observed, revealing a change in genetic diversity of rotavirus strains. While the dominance of G1P[8] decreased after vaccination, an upsurge in G2P[4] (12.2%) and G9P[8] (20.4%) was observed. Additionally, G3[P4] (6.1%) and G2P[6] (4.1%) prevalence increased over the 3 years of study. CONCLUSIONS: The results inform the need for robust longitudinal surveillance and epidemiological studies to assess the long-term interaction between rotavirus vaccine and strain ecology. |
format | Online Article Text |
id | pubmed-7670220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-76702202020-11-24 Post-vaccine rotavirus genotype distribution in Nairobi County, Kenya Gikonyo, Joshua Ndung’u Mbatia, Betty Okanya, Patrick W. Obiero, George F.O. Sang, Carlene Steele, Duncan Nyangao, James Int J Infect Dis Article BACKGROUND: Rotaviruses are primary etiological agents of gastroenteritis in young children. In Kenya, G1P8 monovalent vaccine (Rotarix) was introduced in July 2014 for mandatory vaccination of all newborns at 6 and 10 weeks of age. Since then, no studies have been done to identify the rotavirus genotypes circulating in Nairobi County, Kenya, following the vaccine introduction, hence the post-vaccine genotype distribution is not known. OBJECTIVES: The aim of this study was to determine the post-vaccine occurrence of rotavirus genotypes in children <5 years of age in Nairobi County, Kenya. METHODS: Stool samples were collected from children presenting with diarrhea for whom the vaccination status was card-confirmed. Fecal samples were analyzed for rotavirus antigen using a commercial enzyme immunoassay (EIA) kit, followed by characterization by polyacrylamide gel electrophoresis, RT-PCR, and nested PCR genotyping, targeting the most medically important genotypes. RESULTS: The strains observed included G1P[8] (38.8%), G9P[8] (20.4%), G2P[4] (12.2%), G3[P4] (6.1%), G2P[6] (4.1%), and G9P[6] (4.1%). Mixed genotype constellations G3P[4][8] were also detected (4.1%). Remarkably, an increased prevalence of G2 genotypes was observed, revealing a change in genetic diversity of rotavirus strains. While the dominance of G1P[8] decreased after vaccination, an upsurge in G2P[4] (12.2%) and G9P[8] (20.4%) was observed. Additionally, G3[P4] (6.1%) and G2P[6] (4.1%) prevalence increased over the 3 years of study. CONCLUSIONS: The results inform the need for robust longitudinal surveillance and epidemiological studies to assess the long-term interaction between rotavirus vaccine and strain ecology. Elsevier 2020-11 /pmc/articles/PMC7670220/ /pubmed/32898668 http://dx.doi.org/10.1016/j.ijid.2020.09.005 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gikonyo, Joshua Ndung’u Mbatia, Betty Okanya, Patrick W. Obiero, George F.O. Sang, Carlene Steele, Duncan Nyangao, James Post-vaccine rotavirus genotype distribution in Nairobi County, Kenya |
title | Post-vaccine rotavirus genotype distribution in Nairobi County, Kenya |
title_full | Post-vaccine rotavirus genotype distribution in Nairobi County, Kenya |
title_fullStr | Post-vaccine rotavirus genotype distribution in Nairobi County, Kenya |
title_full_unstemmed | Post-vaccine rotavirus genotype distribution in Nairobi County, Kenya |
title_short | Post-vaccine rotavirus genotype distribution in Nairobi County, Kenya |
title_sort | post-vaccine rotavirus genotype distribution in nairobi county, kenya |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670220/ https://www.ncbi.nlm.nih.gov/pubmed/32898668 http://dx.doi.org/10.1016/j.ijid.2020.09.005 |
work_keys_str_mv | AT gikonyojoshuandungu postvaccinerotavirusgenotypedistributioninnairobicountykenya AT mbatiabetty postvaccinerotavirusgenotypedistributioninnairobicountykenya AT okanyapatrickw postvaccinerotavirusgenotypedistributioninnairobicountykenya AT obierogeorgefo postvaccinerotavirusgenotypedistributioninnairobicountykenya AT sangcarlene postvaccinerotavirusgenotypedistributioninnairobicountykenya AT steeleduncan postvaccinerotavirusgenotypedistributioninnairobicountykenya AT nyangaojames postvaccinerotavirusgenotypedistributioninnairobicountykenya |