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Infection and Immunity, December 2001, p. 7783-7792, Vol. 69, No. 12
Division of Parasitic Diseases, National
Center for Infectious Diseases, Centers for Disease Control and
Prevention,1 and Emory
University,2 Atlanta, Georgia, and
Vector Biology and Control Research Center, Kenya Medical
Research Institute, Kisumu, Kenya3
Received 1 June 2001/Returned for modification 6 August
2001/Accepted 25 August 2001
To assess the relationship between the within-host diversity of
malaria infections and the susceptibility of the host to subsequent infection, we genotyped 60 children's successive infections from birth
through 3 years of life. MSP-1 Block2 genotypes were used to estimate
the complexity of infection (COI). Malaria transmission and age were
positively associated with the number of K1 and Mad20 alleles detected
(COIKM) (P < 0.003). Controlling for
previous parasitemia, transmission, drug treatment, parasite density,
sickle cell, and age, COIKM was negatively correlated with
resistance to parasitemia of >500/µl (P < 0.0001).
Parasitemias with the RO-genotype were more resistant than those
without this genotype (P < 0.0000). The resistance in
low COIKM infections was not genotype specific. We discuss
the impact of genotype-transcending immunity to conserved antigenic
determinants. We also propose a diversity-driven immunomodulation
hypothesis that may explain the delayed development of natural immunity
in the first few years of life and suggest that interventions that
decrease the COIKM could facilitate the development of
protective immunity.
Children born in malaria-holoendemic
areas are infected almost constantly, but it takes 3 to 5 years to
develop immunity that confers protection against parasitemia and
illness. The many allelic forms of asexual blood-stage Plasmodium
falciparum antigens might contribute to this delayed acquisition
of immunity. Children are infected with different parasite genotypes,
bearing different allelic forms of antigens, over successive infections
and within a given infection. An infection can have multiple different
genotypes due to superinfection and mosquitoes inoculating multiple
genotypes during a single bite. The extent of multiple-genotype
infections sheds light on malaria transmission, parasite diversity, and
the development of immunity.
The Block2 domain of merozoite surface protein 1 (MSP-1) and other
highly diverse single-copy genes has been used to estimate the minimum
number of different parasite genotypes present within P. falciparum infections (9). This estimate has been
referred to as the complexity of infection (COI) (37). The
sequence differences and tandem repeat polymorphism result in fine
characterization of Block2-defined parasite genotypes. MSP-1 Block2
appears to be under diversifying selection (36 and
references therein), and the linkage disequilibrium found in P. falciparum precludes MSP-1 Block2 genotyping from being considered
a marker for other genes or loci (13, 39). We used MSP-1
Block2 genotyping in this study for two main reasons: (i) the high
level of MSP-1 Block2 diversity makes it a better estimator of COI than
less polymorphic "neutral" parasite genotyping loci (such as a
single microsatellite loci) and (ii) MSP-1 is a candidate for having a
direct relationship with the acquisition of immunity (7, 8, 14,
17).
In addition to indicating host susceptibility to malaria transmission,
the COI might impact the development of immunity in either a positive
or a negative way. Infection with different genotypes might lead to the
development of genotype-specific or allele-specific immunity. If this
occurs, a host would only develop resistance to an immunologically
defined genotype, remaining susceptible to others (22).
This theory predicts that multiple-genotype infections would lead to
more rapid development of anti-malaria parasite immunity, since the
immune response is exposed to a greater amount of the allelic diversity
in one infection (22, 23). However, several studies point
towards selection for coinfection under natural conditions (4,
33). Multiple-genotype infections would assist continued
transmission in an area of high and year-round (holoendemic) malaria if
genotypes "cooperated" to delay the acquisition of immunity by
causing immunologic antagonism, presenting a "smoke screen" of
antigens that result in immunomodulation and/or distracting or
interfering with responses to protection-inducing antigens (2,
21, 34, 40). In addition to the many different antigens presented within a single-genotype infection, these immunologic phenomena can be extended to consider the allelic diversity presented in multiple-genotype infections, especially the high level of antigenic
allelic diversity resulting from polymorphic repetitive antigens such
as MSP-1 Block2.
Molecular epidemiologic studies have considered the relationship
between the MSP-1-based COI and disease severity but have yielded
conflicting results (1, 2, 6, 12, 16, 18, 19, 20, 30, 37,
43). The definition of disease severity and sampling time might
explain the discrepancy. If sampling is done late in infection,
depending on the immune status of the host and/or infection-induced
immunosuppression, only fast-growing parasite genotypes might be
detected. It is also possible that high fever, a defining
characteristic of clinical malaria, might clear parasite genotypes from
an individual. The fact that in addition to these confounding
variables, the COI in an individual can be affected by the immune
status or age of the host, previous treatment history, malaria
transmission, and parasite density necessitates studying the
susceptibility to subsequent parasitemia.
Previous longitudinal studies have lacked the sample size and follow-up
necessary to investigate successive infection (1, 12, 16, 19, 27,
38, 43). In the few children (mostly >4 years old) followed for
up to 1 year, successive infections contained different parasite
genotypes. This alternation in genotypes could be attributed to
allele-specific immunity or subsequent infections containing different
genotypes by chance alone. Some studies report that a higher COI was
associated with increased risk to subsequent clinical malaria
(1). Others report that a high COI was associated with
protection against infection (12).
In this study, we investigated the parasite genotypes in western Kenyan
children followed prospectively biweekly from birth to approximately 3 years. Detailed information on entomologic, clinical, and host genetic
aspects of the study participants allowed a comprehensive analysis of
the COI and alternating genotypes found in successive
parasitemias. We elucidated factors related to children's
ability to limit parasitemia and clear parasite genotypes and found
that high within-host antigenic diversity is associated with impaired
subsequent resistance to parasitemia.
Study design.
As part of the prospective, longitudinal
Asembo Bay Cohort Project (ABCP), pregnant mothers were identified and,
after consent, enrolled in the study along with their delivered
infants. Children were visited at their house every 2 weeks for
clinical history and contributed routine monthly blood samples for
approximately 3 years. The parasite density (per microliter of blood)
and species present were determined by microscopy. The children's
axillary temperature and hemoglobin density were measured. During the
period of this study, Fansidar (sulfadoxine-primethamine) treatment was administered if the child had a fever of Malaria transmission.
Mosquitoes were caught and tested for
P. falciparum sporozoites by enzyme-linked immunosorbent
assay (ELISA). The sporozoite seropositive rate was averaged by village
by week and multiplied by the number of fed mosquitoes found in the
households' bednet trap each night studied. The entomologic
inoculation rate (EIR) was then averaged by village by week. We
considered long-term, geographic, temporal, and seasonal EIR
differences. For analysis of COI, we defined the hyper- and
high-transmission seasons as lagging 1 month after the dates separating
the transmission seasons. For the time resistance analysis, time
periods occurring 1 month before the beginning and 2 months before the
end of the hypertransmission season received greater exposure during
the following 2 months. We termed this time period as hyperexposure
period and the other time periods as high-exposure periods.
Genotyping.
We determined the MSP-1 Block2 alleles present
in 686 blood samples from children P. falciparum parasitemic
by microscopy. A total of 1,121 parasitemias were considered in the
study; however, we only genotyped blood samples with parasitemia and
0019-9567/01/$04.00+0 DOI: 10.1128/IAI.69.12.7783-7792.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Plasmodium falciparum Genotypes, Low Complexity of
Infection, and Resistance to Subsequent Malaria in Participants
in the Asembo Bay Cohort Project

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ABSTRACT
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
![]()
INTRODUCTION
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
![]()
MATERIALS AND METHODS
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
37.5°C with any density parasitemia or a parasite density of >10,000/µl. Sickle cell
hemoglobin genotyping was also performed.
200 µl of packed erythrocytes (RBCs) available. Also, we excluded
the two samples following 1 and 3 days after a parasitemia treated with Fansidar. The DNA in the approximately 300/µl packed RBCs was extracted using the PureGene extraction method (Gentra Systems). We
used a nested PCR method. The first, external PCR (55°C annealing, 25 cycles) was done with 5'-AAGCTTTAGAAGATGCAGTATTGAC and
3'-ATTCATTAATTTCTTCATATCCATC primers. The second PCR (64°C
annealing, 30 cycles) entailed (i) K1 5'-GAAATTACTACAAAAGGTGCAAGTC
and 3'-AGATGAAGTATTTGAACGAGGTAAAGTG, (ii) MAD20
5'-GCTGTTACAACTAGTACACC and
3'-TGAATTATCTGAAGGATTTGTACGTCTTGA, or (iii)RO
5'-GCAAATACTCAAGTTGTTGCAAAGC and
3'-AGGATTTGCAGCACCTGGAGATCT. For the PCR mixture, 5 µl of
the 5' and 3' primers (40 ng/µl) were added to 16 µl of
deoxynucleoside triphosphate (dNTP) mixture (Promega, 80 µmol/reaction), 3 µl of MgCl2 (25 mM), 10 µl of PCR 10 × buffer containing 15 mM MgCl2 (Perkin Elmer),
0.5 µl of Taq polymerase, and 59.5 µl of
double-distilled water. For the external PCR, 5 µl of DNA (adjusted
to 150 ng/µl) was added to 95 µl of reaction mixture. For each
internal PCR, we used 5 µl of external PCR product.
640/µl.
Statistical analysis. Statistical analysis was limited and hypothesis driven to avoid spurious significant results. Proportions were tested using chi-square analyses. We considered factors associated with the COIKM and the ability to remain resistant for >2 months. Upon finding significant associations, we considered the mean time of resistance in months. On average, three blood samples were collected in the 2 months after a given parasitemia. These analyses were performed using a general linear model (GLM), controlling for repeated measures.
To determine estimated effects and relative risks, we used the Statistical Analysis Software (SAS, Cary, N.C.), program's procedure termed genmod. Briefly, this analysis calculates the estimated effect (EE) after considering the EE of the other variables. The different levels of a variable (for instance, high, medium, and low EIR are three different levels) are compared to a baseline. Customarily, the variable level with the lowest value is chosen as the reference (baseline) (for instance, the village with the lowest expected COI could be used as the reference for comparing the COI in different villages). However, the results are not impacted by which variable level is used as the reference. When considering a binomial outcome, the result can be translated into a relative risk, where the reference has a relative risk of 1. The results reflect the estimated effect attributable to a given variable after considering the impact of all the variables in the analysis. Nonoverlapping 95% confidence intervals (CI) can be used as a conservative test of differences among variable levels. The expected probability of redetection of an allele in the subsequent 2 months was compared to the observed using a chi-square test for each K1 allele separately. We did not perform this test on the Mad20 alleles or RO alleles, since they were redetected in most instances. The observed frequency of redetection in blood samples in the subsequent 2 months was determined as follows. On average, we collected three blood samples between the parasitemia of interest and 2 months later; therefore, the expected probability was N(1
p)3, where N is the times the allele
was detected and P is the frequency the allele was detected.
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RESULTS |
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Parasite diversity. Our working hypothesis was that the COI, as measured by Block2 genotying, affects resistance to subsequent parasitemia. For reasons explained below, the lack of MSP-1 Block2 repeats in parasites with the monomorphic Block2 RO allele (18) was hypothesized to result in a different development of resistance to subsequent parasitemia than parasites having the repeat-containing Mad20 and K1 Block2 alleles. Therefore, we estimated the COI by the K1 and Mad20 alleles only (COIKM) and then classified by RO presence.
The frequency of detecting each allele in the 668 parasitemias genotyped was determined (Fig. 1). By microscopy, 92% of the parasitemias detected contained only P. falciparum parasites. P. ovale and P. malariae were detected in 4 and 3% of the parasitemia, respectively. Less than 2% of P. ovale and P. malariae were pure infections.
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COIKM. Ninety-three percent of the parasitemias had one or more K1 allele, 79% had one or more Mad20 allele, and 82% had the RO allele present. Sixty-five percent of infections contained all three main allelic families. The K1 main allele family was more diverse than Mad20. There were 51, 222, 225, 119, 49, and 17 samples with 0 to 5 K1 alleles, respectively (mean 1.92, SE 0.05). There were 145, 315, 154, 54, and 15 samples with 0 to 4 Mad20 alleles, respectively (mean 1.24, SE 0.04).
Contributions to COIKM.
Before considering the
association between COIKM-RO and susceptibility, we
considered factors related to the COIKM (Table 1). Multivariate analysis was conducted
to investigate the estimated effect of malaria transmission and host
immunity on the COIKM in comparison to a baseline level
(see above for details).
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5 had an estimated
COIKM 0.53 greater than parasitemias following a month of
aparasitemia (P = 0.0372). The overlapping CI of the
estimated COIKM when considering a previous month with a
COIKM of 0 to 4 showed that the only impact of a previous
COIKM and current COIKM was when considering
the most extreme case described above.
Age was significantly associated with the COIKM. Children
2.00 to 3.00 and 1.49 to 1.99 years old had an estimated
COIKM 0.85 and 0.81 greater than children 0.00 to 0.49 respectively (P < 0.0085). This increased average
COIKM with age could not be explained by antimalaria drug
treatment or EIR. However, the significant increase in
COIKM with age was only seen when comparing the older age
groups to the children <6 months of age (a time when maternal and
neonatal factors might offer some protection). There were no
significant differences in COIKM among the other age
groups, as evidenced by the overlapping CIs.
Resistance to subsequent parasitemia.
We developed an a priori
definition of resistance based on all ABCP participants. The frequency
of parasitemias of >500/µl decreases with age; however, the
frequency of low-density parasitemias (1 to 500/µl) in children <5
years old (16.12%) is similar to that in naturally immune ABCP adults
(12.3%) (P = 0.5265) (data not shown). This low
parasitemia implies clinical immunity, since the probability of febrile
illness and hemoglobin levels of <6.0 g/dl at this low parasitemia is
not different from aparasitemic individuals (independent of age in this
population) (Fig. 3A and B). We use the
term resistant to denote resistance to parasitemia of >500/µl and
any febrile parasitemia.
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5 (P = 0.0000). Conversely, children with the RO allele were 3.46 times more likely to
resist infection for >2 months compared to children lacking the RO
parasite-type (P = 0.0012).
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DISCUSSION |
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Comprehensive, longitudinal blood sampling during the time children are highly susceptible to malaria along with detailed entomologic data enabled us to consider factors contributing to the COI, parasite populations within the child's successive infections, and the development of immunity. We estimated the overall COI by the number of K1 and Mad20 MSP-1 Block2 alleles within an infection (COIKM) and the presence of the repeatless MSP-1 Block2 RO allele to test if COIKM (or overall COI) was associated with either genotype-specific or genotype-transcending resistance to parasitemias of >500/µl or febrile parasitemia of any density.
The first phase of our study was to determine factors impacting the detectable COIKM in this population. Our results suggest that superinfection occurring within a very short time period (<2 weeks) and/or mosquitoes inoculating more than one parasite genotype in one bite contributed to the different COIKM and different genotypes detected within an individual over successive months more so than superinfection occurring over a period of 1 month. Three observations led us to this conclusion. First, the moderate village-based differences (~2-fold) in EIR had a greater impact on COIKM than did vast differences in EIRs with transmission season (~10-fold). Second, parasitemias following a successful antimalaria treatment had an average COIKM similar to parasitemias following untreated parasitemias of COIKM < 5. Third, K1 "genotypes" were often not redetected in subsequent blood samples.
A child not accumulating a higher COIKM over successive months and having months where few parasite genotypes were detected suggests that it is possible for children to clear parasite genotypes (to below detection level) by innate or specific immunity. In a previous Tanzanian study, the disappearance of alleles within days in asymptomatic parasitemias of <1,000/µl was attributed to sequestration (28). Sequestration and detection limits are relevant factors, especially at such low-density parasitemia. However, the large volume of blood (>200 µl of packed RBCs) used in this study, the infrequent redetection of genotypes in three successive infections, and lack of accumulating COIKM over successive months suggest that children could clear parasite genotypes to below a detectable level and that the parasitemias and genotypes detected in the following 2 months were largely attributable to new inoculation (approximate EIR of >0.5 infected bites/person/night).
Interestingly, we found that although, as expected, children whose sickle cell hemoglobin genes were homozygous (SS) or heterozygous (AS) for the sickle cell genotype trait were more capable of resisting parasitemia of >500/µl, their mean COIKM was not significantly lower than that of AA children. This observation is in agreement with Ntoumi et al., who found a higher COI in 7- to 14-year-olds with the AS genotype versus the AA genotype (32). It seems unlikely that AS or SS children are more susceptible to infectious bites with more parasite genotypes. In comparison to AA children, AS and SS children in the ABCP appear more likely to resist parasitemia of >500/µl but not more likely to be aparasitemic (Branch et al., unpublished data). It is possible that AA children are more capable of clearing parasite genotypes or that parasites are more likely to sequester at levels below PCR detection in AA children in comparison to AS or SS children.
We found that children >2 years old had a higher COIKM and a reduced ability to resist parasitemias of >500/µl for >2 months in comparison to children 0.5 to 1 year old. This contrasts with the conventional wisdom that, not considering the first 6 months, when maternal antibodies appear to provide protection, the ability of the host to control or clear malaria infections should correlate with exposure-acquired immunity (and/or age-acquired immunity, as discussed by Baird et al. [5]). In agreement with our findings, others have found a higher COI in 2- to 4-year-old children in comparison to children <2 (25). This led to the hypothesis that the fever often observed in infants could clear parasitemias, while the developing specific immune response in 2- to 4-year olds limits but does not completely clear parasite genotypes below detectable levels (25, 41, 43). The studies summarized above did not have data available on antimalaria drug treatment. Here, we find the first evidence, independent of antimalaria drug treatment, transmission, and host-related differences in susceptibility, that febrile illness was associated with a greater likelihood of clearing and resisting subsequent parasitemia.
The facts that the COIKM was not associated with parasite
density and children >2 years old were less likely to resist
parasitemias of >500/µl for longer than 2 months support some
density-dependent regulation of parasitemias in older children
(10). However, we found that, regardless of age, the
previous parasitemia's COIKM, transmission intensity, drug
treatment, parasite density, and sickle cell genotype, >30% of the
time children with a COIKM of
3 could resist subsequent
parasitemia of >500/µl for >2 months.
We considered the ability to resist subsequent parasitemia of
>500/µl (or any febrile parasitemia) in two ways: the mean time of
resistance and the ability to resist for
2 months. The former enabled
us to consider the data without preset thresholds, while the latter
enabled us to consider the child's having opportunity for subsequent
infection in this highly endemic transmission area.
Resistance was measured as parasitemia and was not specific to any particular parasite genotype. The fact that K1 alleles often were not redetected for >2 months evokes speculation of genotype (allele)-specific immunity (22). However, our result can also be explained by the low probability of redetecting any particular genotype by chance alone. The resistance to parasitemia, regardless of genotype, suggests that genotype-transcending immunity (targeting antigenic determinants shared among most parasite genotypes) was more effective following low COIKM infections with the RO parasite genotype.
Children's sickle cell trait enabled a measure of comparison of the estimated effect of COIKM and RO on detected resistance in the following months. A decrease of 2 in the detected COIKM was predictive of a fourfold-increased ability to resist parasitemia of >500/µl (and any febrile parasitemia) in the following 2 months. This was greater than the predicted twofold increase in resistance seen in AS children versus AA children.
The fact that MSP-1 is associated with protection, especially the highly conserved MSP-1 19-kDa fragment (19KD) (11, 15, 26, 39), is a major reason to consider MSP-1 Block2 (and loci in genetic disequilbrium with MSP-1 Block2) specifically rather than as only a marker for overall COI. There is extensive genetic disequilibrium in MSP-1, resulting in Block2 genotyping's not being indicative of the allelic types present in other regions of the gene (13). However, the exception is linkage disequilibrium between MSP-1 19KD and MSP-1 Block2 (39). The findings that the K1 allelic type was most negatively correlated with resistance and the presence of the repeatless RO parasite type was associated with greater resistance suggest that the antigenic diversity of MSP-1 Block2 (or linked antigenic diversity) impacts the development of resistance to subsequent parasitemia, but cannot rule out the impact of overall COI on the association. For instance, the K1 genotypes might be a better indication of overall antigenic diversity, since it is more polymorphic in this population, or the K1 genotypes might be more effective at antagonizing or distracting an effective immune response to Block2 or other antigenic determinants (2, 21, 29, 34, 40).
Data investigating anti-Block2's role in protection have been conflicting (7, 8, 24, 35). While some anti-Block2 antibodies are cross-reactive within main families, others are specific to differences between the main families (7, 17). Some studies suggest that high anti-Block2 antibody levels are positively associated with susceptibility to parasitemia and are not associated with protection (24, 35). In contrast, a recent study found that children with both K1 and Mad20 anti-Block2 antibodies at the end of the low-transmission season were more likely to manifest signs of clinical malaria within the following 6 months than individuals without anti-Block2 antibodies at the end of the transmission season (14). It is possible, however, that anti-MSP-1 Block2 antibodies are only a marker of recent parasitemia and, therefore, a marker of short-lived antibodies to other malaria antigens (especially MSP-1 19KD) (7, 11, 17). This would result in an association with Block2 antibodies regardless of their specific role in protection.
If anti-Block2 antibodies can impart significant protection, our results suggest that an effective response was impaired in high COIKM, as predicted by the smoke screen hypothesis (2), possibly facilitated by immunologic antagonism (34). However, evoking this form of immune evasion as an explanation for susceptibility to parasitemia of >500/µl requires these postulated immune evasion mechanisms to be generalized and not specific to a particular genotype.
The association between the RO parasite and subsequent resistance, in agreement with earlier reports (1, 31), is interesting. The resistance seen following an infection with RO would be expected if RO was linked to a particular 19KD allele or an allele that did not block effective anti-19KD antibodies (42). In addition, linkage disequilibrium with other genes might result in RO parasites having different growth rates and/or erythrocyte specificity (39). Finally, and most speculatively, the lack of repeats in the RO Block2 region (and extremely limited linkage disequlibrium in P. falciparum) might induce a more effective immune response.
Speculation abounds regarding the role of repetitive antigens in immune evasion. It can be postulated that T-independent antibody responses to the repetitive Block2 antigens (7, 24) could result in a cytokine environment nonconducive to T-dependent antibody responses to adjacent determinants. This was first suggested and studied regarding the circumsporozoite protein repeats (40), but it was thought that the smaller Block2 would not have great potential for altering the cytokine environment. However, one must consider the natural infections where the host's immune response is exposed to many different parasite genotypes at one time (mixed infections) (33). The within-host diversity would amplify the number of B-cell clones responding within a given infection. It is important to note that homeostasis in the immune response and diverse immunogenic antigens might distract or exceed a regulation threshold (21, 29) and/or soluble Block2 might impede germinal center formation (36). Our results suggest that infections lacking the repeatless RO parasite genotype are more vulnerable to such evasion mechanisms.
Either impediment of a protective immune response to Block2 or indirect immune evasion mechanisms as described above might explain the apparent diversifying selection on MSP1 Block2 (45) and the prevalence of mixed infections (33). Some of this speculation can be directed to consider why genotype-transcending immunity, targeting conserved antigenic determinants, is delayed during natural malaria infections.
In summary, this study has provided information on dynamics of parasitemia in children's first few years of life. We have found that independent of febrile illness, age, transmission, and previous months' parasitemia history, the COIKM is negatively correlated with resistance to parasitemia of >500/µl in the following months. This correlation was detectable within an individual child's history of successive infections. From a public health perspective, this observation suggests that intervention control and prevention strategies that reduce the complexity of infection may lead to faster development of natural immunity that protects against high-density parasitemia and clinical manifestations of illness.
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ACKNOWLEDGMENTS |
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We thank all the cohort participants and staff. We thank the Director of the Kenya Medical Research Institute (KEMRI) for permission to publish this work and J. Wootton and D. Conway for invaluable comments.
S. Takala received funding from the CDC's Emerging Infectious Disease Fellowship Program. This work was supported in part by the U.S. Agency for International Development, HRN 6001-A-00-4010-00.
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FOOTNOTES |
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* Corresponding author. Mailing address: Mail Stop F-12, 4770 Buford Hwy., Chamblee, GA 30341. Phone: (770) 488-4047. Fax: (770) 488-4454. E-mail: ALal{at}CDC.GOV.
Study VIII of the Asembo Bay Cohort Project.
Editor: W. A. Petri Jr.
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