december 15th 2007, lisbon federation of the european academy of medicine epidemiology, genetics and...
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December 15th 2007, Lisbon
Federation of the European Academy of Medicine
Epidemiology, genetics and control of Plasmodium falciparum malaria in sub-Saharan Africa
David [email protected]
Department of Public Health Sciences
December 15th 2007, Lisbon
Lisbon Conference, 15 December 2007
Rogers DJ et al. Nature. 2002. 415: 710-715
Satellite-derived predictions of Entomological Inoculation Rates (EIR) in sub-Saharan Africa
December 15th 2007, Lisbon
Lisbon Conference, 15 December 2007
Mortality
About 2.7 million people die from malaria each year, most of whom are children
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• 2.2 billion people at risk
• 515 (range 300–660) million episodes of clinical Plasmodium falciparum malaria in 2002
• 70% of clinical events concentrated in sub-Saharan Africa• 25% in South East Asia
Morbidity
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These global estimates are up to 50% higher than those reportedby the WHO and 200% higher for areas outside Africa
Morbidity
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Reasons for malaria re-emergence
• Drug resistance (parasite)
• Insecticide resistance (vector)
• Climate change
• Deterioration of National Malaria Control Programs
Distribution of Drug Resistance
Chloroquine resistance
Sulfadoxine-Pyrimethamine resistanceMefloquine resistance
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• First cause of poverty in Sub-Saharan Africa (WHO)
• Loss of 1.3% of GNP in Sub-Saharan (SS) Africa
• Some countries lose up to 6% of GNP
• $12 billion lost annually
• 40% of all health care expenditures in SS Africa are spent on malaria
• 40% of absences from school or work in SS Africa are due to malaria
The Socio-economic Burden of Malaria
Malaria control is a strategy for reducing poverty
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Available control tools are not able to block transmission
Artemisinin-based combination therapies (ACTs)• artemether/lumefantrine • artesunate plus amodiaquine • artesunate plus mefloquine (Insufficient safety data to recommend its use in Africa) • artesunate plus sulfadoxine/pyrimethamine
Long-lasting
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Vaccine highly needed
• Funding for malaria vaccines has increased recently from below US$50 million to around $60–70 million
• but remains an order of magnitude below that for HIV vaccine development
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Data indicating that malaria vaccine are feasible
• RADIATION ATTENUATED SPOROZOITES
Malaria vaccines
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are classified according to the parasite stages that are targeted
Thomas L. Richie & Allan Saul; Nature; 415; 2002
Pre-erythrocytic vaccines
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Designed to prevent blood-stage infection; to avoid all manifestations of disease
(anti-infection vaccines)
Vaccines directed against sporozoites and/or liver stages
Possible Immune Pathways
1. Antibodies to block sporozoite invasion of liver cells
Possible Immune Pathways
2. T cell responses against infected liver cells (IFNg and CTL)
Thomas L. Richie & Allan Saul; Nature; 415; 2002
Asexual blood stages vaccines
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designed to reduce clinical severity(anti-morbidity/mortality vaccines)
Possible Immune Pathways
1. Antibodies against merozoite surface antigens to block invasion of red blood cells
Possible Immune Pathways
2. Antibodies against malaria proteins expressed on surface of infected RBC
Thomas L. Richie & Allan Saul; Nature; 415; 2002
Transmission-blocking vaccines
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designed to halt development in the mosquito
Vaccines directed against mosquito stagesPossible Immune Pathways:
Antibodies to gametes and ookinetes
Thomas L. Richie & Allan Saul; Nature; 415; 2002
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Miller LH et al. Nature. 2002
Why only 2% of clinical malaria cases evolve into severe forms of the disease ?
The challenge of human genetics
Greenwood B et al. Parasitology Today. 1991
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Descriptive Genetic epidemiology
Mechanism/s
Malaria protective genes
NEW TOOLS ??
The road map
MalariaGEN
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Global network for genomic epidemiology of malaria
$16.4 million funding from Grand Challenges for Global Health
Funded by the Bill and Melinda Gates Foundation, through the Foundation for the National Institute for Health, and the Wellcome Trust
MalariaGEN’s goal
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• Identify specific genes that are critical for protective immunity against malaria
Strategy
The billion genotype study of severe malaria
675,000 SNPs in 8000 cases and 8000 ethnically matched controls from Burkina Faso, Cameroon, Ghana, Kenya, Malawi, Mali, Tanzania,Sudan, Papua New Guinea and Vietnam)
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1. Intra-ethnic case-control studies (severe malaria, non complicated malaria, healthy population);
vs
Descriptive genetic epidemiology
Three populational approaches
3. Inter-ethnic studies (Fulani vs sympatric populations in West Africa)
FulaniMossi
vs
M MM
R
F
FF
F
F
FF
FF
FF
F
R
RR
R
RRR
MM
M MM M M
MR
RR R
R
F
Barkoundouba
Barkoumbilen
MALI NIGER
CÔTE
GHANABENIN
100
Km
D'IVOIRE
BURKINAFASOOuagadougou
BoboDioulasso
Study area
Km
0 0.5 1
F = FulaniM = MossiR = Rimaibé
Kaya
Ouagadougou
2. Intra-ethnic cross-sectional surveys (healthy population: Susceptibility/resistance to infection)
Sample N Relative and (absolute) genotype frequencies Relative and (absolute) allele frequencies
AA AC AS CC SC SS A C S Healthy subjects 3513 0.6641
(2333) 0.2172 (763)
0.0954 (335)
0.0165 (58)
0.0065 (23)
0.0003 (1)
0.8204 (5764)
0.1284 (902)
0.0512 (360)
Severe malaria 359 0.8078 (290)
0.1755 (63)
0.0111 (4)
0.0028 (1)
0.0028 (1)
0 (0)
0.9011 (647)
0.0919 (66)
0.0070 (5)
Non-complicated malaria 476 0.8004 (381)
0.1555 (74)
0.0399 (19)
0 (0)
0.0042 (2)
0 (0)
0.8981 (855)
0.0798 (76)
0.0221 (21)
Malaria patients (total) 835 0.8036 (671)
0.1641 (137)
0.0275 (23)
0.0012 (1)
0.0036 (3)
0 (0)
0.8994 (1502)
0.0850 (142)
0.0156 (26)
Comparisons Odds ratio (95% confidence interval) and P values *
Healthy subjects vs. Malaria patients 2.07 (1.71-2.50)
<<0.001
0.71 (0.58-0.87)
0.0008
0.27 (0.17-0.42)
<<0.001
0.07 (0.00-0.48)
0.0011
n.s.
n.s.
<<0.001
<<0.001
<<0.001
Severe malaria vs. non-severe malaria n.s. n.s 0.27 (0.08-0.86)
0.021
n.s. n.s. n.s. n.s. n.s. 0.023
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The description …. the role of haemoglobin C
Reduction in risk of clinical malaria:AC heterozygotes: 29%CC homozygotes: 93%
Reduction in risk of clinical malaria:AS heterozygotes: 73%SS homozygotes: lethal
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The mechanism ?
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Why only in West Africa ??
Haemoglobin C(G→A SNS)
(β6 Glu→Lys) MALARIA
Haemoglobin S(A→T SNS)
(β6 Glu→Val)
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THE AGE OF C and S
Haplotypic variability of the C and S alleles in the Mossi of Burkina Faso
The estimates of their absolute ages ranged between:
50-100 generations for βC
25-35 generations for βS Benin
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Models of geographic diffusion of
haemoglobin C (left) and haemoglobin S (right)
Haemoglobin S and haemoglobin C: ‘quick but costly’ versus ‘slow but gratis’ genetic adaptations to Plasmodium falciparum malaria. Modiano D. et al. Human Molecular Genetics, 2007
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The description …. The Fulani resistance against malaria
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The mechanism
Lower expression of genes determinant for Treg activity (TGF, TGFRs, CTLA4, FOXP3) in Fulani compared to both Mossi and Europeans
Proc. Natl. Acad. Sci. USA, in press
Pathway-focused microarray analysis on T regulatory cells
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The mechanism
Serum levels of T regulatory cytokines in Mossi and Fulani
TGF and IL-10: markers of Treg activity
CCL22 attracts DCs and T cell (TH2 marker)
CXCL10 attracts T cell (TH1 marker) Proc. Natl. Acad. Sci. USA, in press
December 15th 2007, Lisbon
Lisbon Conference, 15 December 2007
Descriptive Genetic epidemiology
Mechanism/s
Malaria protective genes
NEW TOOLS ??
The road map
INSTITUTIONS AND FUNDING
Wellcome Trust Centre for Human Genetics, Oxford, United Kingdom
Valentina ManganoKirk Rockett
Dominic Kwiatkowski
Centre National de Recherche et Formation sur le Paludisme, Ministère de la Santé,
Burkina FasoIssa Nebié
Edith Bougma Bienvenu Sodiomon Sirima
Dipartimento di Biologia, Università "Tor Vergata" Rome, Italy
Guido Modiano Bianca Ciminelli
Dipartimento di Fisiopatologia Clinica Università degli Studi di Firenze, Italy
Gabriella Torcia Federico Cozzolino
Dipartimento di Medicina Interna Università degli Studi di Firenze, Italy
Lorenzo Cosmi Francesco Annunziato
Sergio Romagnani
Dipartimento di Scienze di Sanità Pubblica, Università “La Sapienza” Rome, Italy
Federica VerraGermana Bancone
Valentina ManganoMario Coluzzi
David Modiano
Centre Medical Saint-Camille, Burkina FasoJacques Simporé
Italian Ministry of Education FP6, BioMalPar NoE
MalariaGEN Grand Challenges for Global HealthBill and Melinda Gates Foundation
Wellcome Trust