Description du projet
Combattre la résistance aux antimicrobiens dans la région des Grands Lacs d’Afrique
Au cœur de la région des Grands Lacs africains, où coexistent des communautés animées et une biodiversité époustouflante, les habitants et les chercheurs se heurtent à un problème de longue date. Les maladies infectieuses et le phénomène de résistance aux antimicrobiens (RAM) de cette région densément peuplée, caractérisée par un réseau complexe de migrations forcées et volontaires, sont restés un mystère. Cette région vitale est particulièrement vulnérable en raison des données limitées et des obstacles logistiques que connaît la recherche conventionnelle. Le projet GREAT-LIFE, financé par l’UE, entend révolutionner les soins de santé dans cette région critique du monde. En exploitant la puissance du séquençage par nanopores déployé sur le terrain, de la métagénomique et de la bioinformatique de pointe sur ordinateur portable, GREAT-LIFE sera le pionnier du séquençage en temps réel sur le terrain dans des sites isolés. Ces technologies fourniront de précieuses informations sur l’émergence et la prévalence des agents pathogènes et de la résistance aux antimicrobiens dans les villages isolés et les camps de réfugiés.
Objectif
The African Great Lakes region is one of the most densely populated areas in Africa and also one of the areas globally with the highest biodiversity, and forced or voluntary migrations. Very limited information is available on the prevalence and epidemiology of infectious diseases, especially gastrointestinal diseases and antimicrobial resistance that has been very understudied.
Logistically it is difficult to sample and conventionally study infectious diseases in the area and such studies have limited real-time value locally. In this study we will take full advantage of the potential offered by combining field-deployable nanopore sequencing combined with metagenomics and lap-top bioinformatics, to establish frontline sequencing at remote sites and linking this with central sharing of analytic output. Newly developed bioinformatics solutions by us have made it possible to perform simple bioinformatics analyses in real-time using lap-tops and subsequently share the analytic output simply using the mobile net, avoiding the need of transferring large amounts of data and access to high-performance computing.
In GREAT-LIFE we will establish sequencing across six countries in the region and use this to study the abundances of AMR in villages and refugee camps. Linking this with spatial and temporal epidemiological data will enable us to identify locally relevant drivers for AMR and provide data for changing empiric treatment and policies. In addition, we will utilize sequencing directly on GI samples to identify the causative agents (and their AMR) both to provide data for policies, but also to provide immediate results for direct patient care in the frontline. We will educate a number of people in the very frontline to utilize field-sequencing and bioinformatics, as well as more advanced bioinformaticians and epidemiologist centrally. The data generated will be linked in real-time through a central hub in Tanzania to public health authorities for actions.
Champ scientifique
- medical and health scienceshealth sciencespublic healthepidemiology
- medical and health scienceshealth sciencesinfectious diseases
- social sciencessociologydemographyhuman migrations
- medical and health sciencesbasic medicinepharmacology and pharmacydrug resistanceantibiotic resistance
- medical and health sciencesclinical medicinegastroenterology
Mots‑clés
Programme(s)
- HORIZON.2.1 - Health Main Programme
Régime de financement
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinateur
2800 Kongens Lyngby
Danemark