Cargando…
Systematic Review and Meta-analysis of the Prevalence of Group A Streptococcal emm Clusters in Africa To Inform Vaccine Development
An emm-cluster based system was proposed as a standard typing scheme to facilitate and enhance future studies of group A Streptococcus (GAS) epidemiological surveillance, M protein function, and vaccine development strategies. We provide an evidence-based distribution of GAS emm clusters in Africa a...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364215/ https://www.ncbi.nlm.nih.gov/pubmed/32669471 http://dx.doi.org/10.1128/mSphere.00429-20 |
_version_ | 1783559797621129216 |
---|---|
author | Salie, Taariq Engel, Kelin Moloi, Annesinah Muhamed, Babu Dale, James B. Engel, Mark E. |
author_facet | Salie, Taariq Engel, Kelin Moloi, Annesinah Muhamed, Babu Dale, James B. Engel, Mark E. |
author_sort | Salie, Taariq |
collection | PubMed |
description | An emm-cluster based system was proposed as a standard typing scheme to facilitate and enhance future studies of group A Streptococcus (GAS) epidemiological surveillance, M protein function, and vaccine development strategies. We provide an evidence-based distribution of GAS emm clusters in Africa and assess the potential coverage of the new 30-valent vaccine in terms of an emm cluster-based approach. Two reviewers independently assessed studies retrieved from a comprehensive search and extracted relevant data. Meta-analyses were performed (random-effects model) to aggregate emm cluster prevalence estimates. Eight studies (n = 1,595 isolates) revealed the predominant emm clusters as E6 (18%; 95% confidence interval [CI], 12.6% to 24.0%), followed by E3 (14%; 95% CI, 11.2% to 17.4%) and E4 (13%; 95% CI, 9.5% to 16.0%). There was negligible variation in emm clusters with regard to regions, age, and socioeconomic status across the continent. Considering an emm cluster-based vaccine strategy, which assumes cross-protection within clusters, the 30-valent vaccine currently in clinical development would provide hypothetical coverage to 80.3% of isolates in Africa. This systematic review indicates the most predominant GAS emm cluster in Africa is E6 followed by E3, E4, and D4. The current 30-valent vaccine would provide considerable coverage across the diversity of emm cluster types in Africa. Future efforts could be directed toward estimating the overall potential coverage of the new 30-valent vaccine based on cross-opsonization studies with representative panels of GAS isolates from populations at highest risk for GAS diseases. IMPORTANCE Low vaccine coverage is of grave public health concern, particularly in developing countries where epidemiological data are often absent. To inform vaccine development for group A Streptococcus (GAS), we report on the epidemiology of the M protein emm clusters from GAS infections in Africa, where GAS-related illnesses and their sequelae, including rheumatic fever and rheumatic heart disease, are of a high burden. This first report of emm clusters across the continent indicates a high probably of coverage by the M protein-based vaccine currently undergoing testing were an emm-cluster based approach to be used. |
format | Online Article Text |
id | pubmed-7364215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-73642152020-07-16 Systematic Review and Meta-analysis of the Prevalence of Group A Streptococcal emm Clusters in Africa To Inform Vaccine Development Salie, Taariq Engel, Kelin Moloi, Annesinah Muhamed, Babu Dale, James B. Engel, Mark E. mSphere Research Article An emm-cluster based system was proposed as a standard typing scheme to facilitate and enhance future studies of group A Streptococcus (GAS) epidemiological surveillance, M protein function, and vaccine development strategies. We provide an evidence-based distribution of GAS emm clusters in Africa and assess the potential coverage of the new 30-valent vaccine in terms of an emm cluster-based approach. Two reviewers independently assessed studies retrieved from a comprehensive search and extracted relevant data. Meta-analyses were performed (random-effects model) to aggregate emm cluster prevalence estimates. Eight studies (n = 1,595 isolates) revealed the predominant emm clusters as E6 (18%; 95% confidence interval [CI], 12.6% to 24.0%), followed by E3 (14%; 95% CI, 11.2% to 17.4%) and E4 (13%; 95% CI, 9.5% to 16.0%). There was negligible variation in emm clusters with regard to regions, age, and socioeconomic status across the continent. Considering an emm cluster-based vaccine strategy, which assumes cross-protection within clusters, the 30-valent vaccine currently in clinical development would provide hypothetical coverage to 80.3% of isolates in Africa. This systematic review indicates the most predominant GAS emm cluster in Africa is E6 followed by E3, E4, and D4. The current 30-valent vaccine would provide considerable coverage across the diversity of emm cluster types in Africa. Future efforts could be directed toward estimating the overall potential coverage of the new 30-valent vaccine based on cross-opsonization studies with representative panels of GAS isolates from populations at highest risk for GAS diseases. IMPORTANCE Low vaccine coverage is of grave public health concern, particularly in developing countries where epidemiological data are often absent. To inform vaccine development for group A Streptococcus (GAS), we report on the epidemiology of the M protein emm clusters from GAS infections in Africa, where GAS-related illnesses and their sequelae, including rheumatic fever and rheumatic heart disease, are of a high burden. This first report of emm clusters across the continent indicates a high probably of coverage by the M protein-based vaccine currently undergoing testing were an emm-cluster based approach to be used. American Society for Microbiology 2020-07-15 /pmc/articles/PMC7364215/ /pubmed/32669471 http://dx.doi.org/10.1128/mSphere.00429-20 Text en Copyright © 2020 Salie et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Salie, Taariq Engel, Kelin Moloi, Annesinah Muhamed, Babu Dale, James B. Engel, Mark E. Systematic Review and Meta-analysis of the Prevalence of Group A Streptococcal emm Clusters in Africa To Inform Vaccine Development |
title | Systematic Review and Meta-analysis of the Prevalence of Group A Streptococcal emm Clusters in Africa To Inform Vaccine Development |
title_full | Systematic Review and Meta-analysis of the Prevalence of Group A Streptococcal emm Clusters in Africa To Inform Vaccine Development |
title_fullStr | Systematic Review and Meta-analysis of the Prevalence of Group A Streptococcal emm Clusters in Africa To Inform Vaccine Development |
title_full_unstemmed | Systematic Review and Meta-analysis of the Prevalence of Group A Streptococcal emm Clusters in Africa To Inform Vaccine Development |
title_short | Systematic Review and Meta-analysis of the Prevalence of Group A Streptococcal emm Clusters in Africa To Inform Vaccine Development |
title_sort | systematic review and meta-analysis of the prevalence of group a streptococcal emm clusters in africa to inform vaccine development |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364215/ https://www.ncbi.nlm.nih.gov/pubmed/32669471 http://dx.doi.org/10.1128/mSphere.00429-20 |
work_keys_str_mv | AT salietaariq systematicreviewandmetaanalysisoftheprevalenceofgroupastreptococcalemmclustersinafricatoinformvaccinedevelopment AT engelkelin systematicreviewandmetaanalysisoftheprevalenceofgroupastreptococcalemmclustersinafricatoinformvaccinedevelopment AT moloiannesinah systematicreviewandmetaanalysisoftheprevalenceofgroupastreptococcalemmclustersinafricatoinformvaccinedevelopment AT muhamedbabu systematicreviewandmetaanalysisoftheprevalenceofgroupastreptococcalemmclustersinafricatoinformvaccinedevelopment AT dalejamesb systematicreviewandmetaanalysisoftheprevalenceofgroupastreptococcalemmclustersinafricatoinformvaccinedevelopment AT engelmarke systematicreviewandmetaanalysisoftheprevalenceofgroupastreptococcalemmclustersinafricatoinformvaccinedevelopment |