Big data, biomarkers and proteomics: informing childhood diarrhoeal disease management in Low- and Middle-Income Countries
Despite efforts to reduce the global burden of childhood diarrhoea, 50% of all cases globally occur in children under five years in Low–Income and Middle- Income Countries (LMICs) and knowledge gaps remain regarding the aetiological diagnosis, introduction of diarrhoeal vaccines, and the role of env...
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2021
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oai:doaj.org-article:8e658ac362384d11bcbd0a5291b91be92021-11-04T04:32:40ZBig data, biomarkers and proteomics: informing childhood diarrhoeal disease management in Low- and Middle-Income Countries2352-396410.1016/j.ebiom.2021.103668https://doaj.org/article/8e658ac362384d11bcbd0a5291b91be92021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S235239642100462Xhttps://doaj.org/toc/2352-3964Despite efforts to reduce the global burden of childhood diarrhoea, 50% of all cases globally occur in children under five years in Low–Income and Middle- Income Countries (LMICs) and knowledge gaps remain regarding the aetiological diagnosis, introduction of diarrhoeal vaccines, and the role of environmental enteric dysfunction and severe acute malnutrition. Biomarkers may assist in understanding disease processes, from diagnostics, to management of childhood diarrhoea and the sequelae to vaccine development. Proteomics has the potential to assist in the identification of new biomarkers to understand the processes in the development of childhood diarrhoea and to aid in developing new vaccines. Centralised repositories that enable mining of large data sets to better characterise risk factors, the proteome of both the patient and the different diarrhoeal pathogens, and the environment, could inform patient management and vaccine development, providing a systems biological approach to address the burden of childhood diarrhoea in LMICs.Karen H. KeddySenjuti SahaIruka N. OkekeJohn Bosco KaluleFarah Naz QamarSamuel KariukiElsevierarticlechildhood diarrhoeainfectious diarrhoeagastroenteritisbiomarkersproteomicsvaccinesMedicineRMedicine (General)R5-920ENEBioMedicine, Vol 73, Iss , Pp 103668- (2021) |
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childhood diarrhoea infectious diarrhoea gastroenteritis biomarkers proteomics vaccines Medicine R Medicine (General) R5-920 |
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childhood diarrhoea infectious diarrhoea gastroenteritis biomarkers proteomics vaccines Medicine R Medicine (General) R5-920 Karen H. Keddy Senjuti Saha Iruka N. Okeke John Bosco Kalule Farah Naz Qamar Samuel Kariuki Big data, biomarkers and proteomics: informing childhood diarrhoeal disease management in Low- and Middle-Income Countries |
description |
Despite efforts to reduce the global burden of childhood diarrhoea, 50% of all cases globally occur in children under five years in Low–Income and Middle- Income Countries (LMICs) and knowledge gaps remain regarding the aetiological diagnosis, introduction of diarrhoeal vaccines, and the role of environmental enteric dysfunction and severe acute malnutrition. Biomarkers may assist in understanding disease processes, from diagnostics, to management of childhood diarrhoea and the sequelae to vaccine development. Proteomics has the potential to assist in the identification of new biomarkers to understand the processes in the development of childhood diarrhoea and to aid in developing new vaccines. Centralised repositories that enable mining of large data sets to better characterise risk factors, the proteome of both the patient and the different diarrhoeal pathogens, and the environment, could inform patient management and vaccine development, providing a systems biological approach to address the burden of childhood diarrhoea in LMICs. |
format |
article |
author |
Karen H. Keddy Senjuti Saha Iruka N. Okeke John Bosco Kalule Farah Naz Qamar Samuel Kariuki |
author_facet |
Karen H. Keddy Senjuti Saha Iruka N. Okeke John Bosco Kalule Farah Naz Qamar Samuel Kariuki |
author_sort |
Karen H. Keddy |
title |
Big data, biomarkers and proteomics: informing childhood diarrhoeal disease management in Low- and Middle-Income Countries |
title_short |
Big data, biomarkers and proteomics: informing childhood diarrhoeal disease management in Low- and Middle-Income Countries |
title_full |
Big data, biomarkers and proteomics: informing childhood diarrhoeal disease management in Low- and Middle-Income Countries |
title_fullStr |
Big data, biomarkers and proteomics: informing childhood diarrhoeal disease management in Low- and Middle-Income Countries |
title_full_unstemmed |
Big data, biomarkers and proteomics: informing childhood diarrhoeal disease management in Low- and Middle-Income Countries |
title_sort |
big data, biomarkers and proteomics: informing childhood diarrhoeal disease management in low- and middle-income countries |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/8e658ac362384d11bcbd0a5291b91be9 |
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