Sidsel Nag Center for Medical Parasitology University of Copenhagen

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Presentation transcript:

Sidsel Nag Center for Medical Parasitology University of Copenhagen The 2nd Kilimanjaro International PhD symposium November 27th-29th 2013 Validating the Applicability of Malaria Rapid Diagnostic Tests and Next Generation Sequencing as Platform Elements in Molecular Surveillance of P. falciparum Malaria Epidemiology and Epidemic Risks Sidsel Nag Center for Medical Parasitology University of Copenhagen

WHO guidelines Test: Malaria rapid diagnostic test (RDTs): Malaria cases confirmed prior to treatment 2005 2011 Globally 68 % 77 % WHO Africa region 20 % 47 % The T3 initiative is founded upon WHO guidelines within all three areas. As for diagnostically testing for malaria, in 2010 WHO changed their policy from “Treat all suspected cases of malaria” to “Test all suspected cases of malaria and treat all confirmed cases of all malaria”. The RDTs were properly “really” implemented around the same time, and there’s been a very positive development on this area (Table). As for malaria treatment, ACTs remain highly effective in SSA and still represent the recommended treatment almost globally. As for surveillance of malaria, WHO has also set up guidelines for countries in the control phase and for countries in the elimination phase, but surveillance systems are not abundant in SSA, and the guidelines may therefore prove slightly difficult to follow… According to WHO Malaria Report 2012 Treat: Artemisinin combination therapies (ACTs): Efficacy = >95 % in SSA Track: ….

WHO Malaria Report 2012 Guidelines for Malaria surveillance Countries in control phase Identify hotspots and hotpops for targeted intervention Identify trends (epidemics, decreasing malaria or lack thereof…) Assess if control measures are effective Countries in elimination phase Detect all malaria cases Reactive case detection (assess the geographical origin of the infection) Focus on local areas with transmission

WHO Malaria Report 2012 Estimates from WHO 2012 Only ~10 % of all malaria cases globally are reported 41 out of 99 countries were unable to submit sufficient data in 2011 to evaluate malaria trends One of the many things illustrated in the Malaria Report from WHO 2012, was the lack of surveillance systems. Together with information regarding the prospects for control and elimination for each WHO region, this figures also shows how many countries were unable to submit data consistent enough with previous data or sufficient enough, to assess the malaria trends for the country. They also assessed the underlying reasons, and for the African countries unable to submit data, they argue that they quite simply don’t see enough of the malaria patients at the health facilities. Only a small fraction seek help, and therefore their data are not recorded. So in regard to the guidelines for surveillance, the facts are as follows (see facts). 41 out of 99 countries are estimated to represent 85 % of global malaria burden

Molecular surveillance Transmission data Human serum, antibodies Parasite genetics Resistance markers What do I mean by molecular surveillance? It’s not a terminology I made up, but it is sparsely used and it does sound a little bit like a catchy term with no real meaning. What I’m referring to is basically; detecting the parasite at the molecular level (so not necessarily sick malaria patients who are diagnosed with malaria). If transmission is occurring, the host is bound to react to it: symptoms or no symptoms. Antibodies Transmission data. Analysing the parasite at the molecular level – and yes, there a TON of molecular elements one could choose to survey at the molecular level. We’re going to focus on parasite genetics, to establish various things: -Prevalence of resistance markers: P. falciparum has shown to be very capable of developing resistance towards the applied antimalarial drugs. For various reasons, all established resistance markers are worth monitoring. -Evolutionary trends: how is the parasite evolving? This has partly to do with things such as resistance markers, but it basicly has to do with any malaria trend observed. Any kind of adaptation or selection will be of interest to the health community and not least to those creating guidelines. -Lastly, the inevitable geographical mapping. Hopefully, the malaria burden will continue to decrease everywhere in the world. This will lead to a situation where some countries will experience having “eliminated” malaria, but it’s neighbouring countries won’t. Malaria patients here require the socalled reactive case control: where did they get the infection?? But most interestingly… perhaps geographical mapping can be done within a country, and not only within a continent? Evolutionary trends Geographical mapping of parasite haplotypes

Malaria Rapid Diagnostic Tests (RDTs) Antibodies for transmission data Resistance markers Optimizing non-targeted sequencing based on DNA material extracted from RDTs This is the malaria Rapid diagnostic test. In essence, this test, when it has been used to diagnose a malaria patient with malaria, contains all the elements necessary for analysis of the molecular epidemiology of malaria. It contains host serum, it contains host DNA and most importantly, it contains parasite DNA if the test is positive. However, the droplet size of the blood, is no more than approximately 10-25 ul, which doesn’t leave a lot of material for further analysis. Second of all, it’s very unprecise, volumewise, and therefore the data from RDTs will require other measures if we have to compare them or analyse them in batches or pools. Not least: the droplet is dried on filterpaper. Now, filterpaper has been used for quite some time for acquiring samples in the field. A dried piece of filterpaper is just easier to deal with, than an EDTA tube and so is the dried blood with regards to storage. Therefore, it is even more so, relevant to collect these RDTs, because the filterpaper samples that researches travel a long way and put a lot of resources into collecting, are essentially available at the healthcare centers applying RDTs. However – the maximum applicability of these tests has not been proven, and we would like to take the challenge!

Next generation sequencing (NGS) From Science, June 13th 2012 Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing. Magnus Manske et al. Kenya Differences in diversity? Detectable evolutionary trends? Genetic diversity of P. falciparum from chosen areas Can mapping be done on a regional level?? Evolutionary development of P. falciparum from chosen locations across malaria seasons  What role does transmission intensity and transmission fluctuations play? Transmission intensity Thailand Burkina Faso and Mali Time Cambodia Papua New Guinea

Sampling sites (tentative) Guinea-Bissau Tanzania Mwanza Magu Cacheu Gabu Misungwi Sengerema Tanga Bandim Magoda Korogwe Teule Mukuzi

Sampling procedures (tentative) RDTs Febrile patient All study sites All used RDTs Monthly basis 18 months Diagnosis RDT dries Storage Strips are packed individually Collection Copenhagen

Sampling procedures (tentative) Blood samples Positive malaria diagnosis Only major study sites (one from each area) 100 infections per season (high and low if applicable) 18 months Blood sample Separation of buffy coat Centrifugation Storage Copenhagen

Objective: Concept development Maximum RDT potential Applicable NGS data Sampling, storage procedures Cost-effective methodology Evolutionary insight  relevant for approaches for control and elimination Diversity, mapping Geographical mapping based on barcoding? Whole-genome sequencing based on RDTs?

Data sharing Open access data, as real time as possible Drugresistancemaps.org PlasmoDB (and others)

Acknowledgements Collaborators: Bandim Health Project Guinea Bissau Amabelia Rodriguez NIMR Mwanza and Tanga Alphaxard Manjurano and Tanzania Deus Ishengoma

Acknowledgements Supervisors Principal supervisor: Michael Alifrangis University of Copenhagen Co-supervisors: Ole Lund and Frank Møller Aarestrup Technical University of Denmark Poul-Erik Kofoed University of Southern Denmark Johan Ursing Karolinska Institute, Stockholm

Thank you for listening Ideas, collaboration, criticism: we would appreciate all of it If you have any samples you would like us to sequence, don’t hesitate to ask!! sidselnag@sund.ku.dk