Open Access

The relationship of Plasmodium falciparum humeral immunity with HIV-1 immunosuppression and treatment efficacy in Zambia

  • Jean-Pierre Van Geertruyden1, 5Email author,
  • Erika Van Eijk2,
  • Francisca Yosaatmadja3,
  • Webster Kasongo4,
  • Modest Mulenga4,
  • Umberto D'Alessandro5 and
  • Stephen Rogerson3
Malaria Journal20098:258

https://doi.org/10.1186/1475-2875-8-258

Received: 30 June 2009

Accepted: 18 November 2009

Published: 18 November 2009

Abstract

Background

HIV-1 infection affects malaria humeral immunity during pregnancy, but data for non-pregnant adults are lacking. This study reports the impact of HIV-1 infection and other variables on the level of malaria humeral immunity in adults with clinical malaria and whether humeral immune suppression was a risk factor for treatment failure.

Methods

Sera of 224 HIV-1 infected and 115 uninfected adults were compared for IgG to merozoite antigens AMA-1 and MSP2 (3D7 and FC27 types) determined by ELISA, and for IgG to the Variant Surface Antigens (VSA) of three different parasite line E8B, A4 and HCD6 determined by flow cytometry.

Results

Compared to HIV-1 uninfected adults, AMA-1 IgG was lower in HIV-1 infected (P = 0.02) and associated with low CD4 count AMA-1 IgG (P = 0.003). Low IgG to all three merozoite antigens was associated with less anemia (P = 0.03). High parasite load was associated with low MSP2 IgG 3D7 and FC27 types (P = 0.02 and P = 0.08). Antibody levels to VSA did not differ between HIV-1 infected and uninfected adults. However, low VSA IgGs were associated with high parasite load (P ≤ 0.002 for each parasite line) and with treatment failure (P ≤ 0.04 for each parasite line).

Conclusion

HIV-1 affects humeral responses to AMA-1, but seems to marginally or not affect humeral responses to other merozoite antigens and VSAs. The latter were important for controlling parasite density and predict treatment outcome.

Background

Humeral responses are of critical importance to blood stage immunity to Plasmodium falciparum[1]. Malaria-specific antibodies mediate important anti-parasitic effector functions, including inhibition of cyto-adherence, inhibition of erythrocyte invasion, opsonization for phagocytic clearance, antibody-dependent cyto-toxicity and cellular inhibition[2]. Well-known merozoite antigens are the apical membrane antigen 1 (AMA-1) and merozoite surface proteins (MSPs)[3]. These antigens are involved in erythrocyte invasion[4, 5] and are important vaccine candidates[6]. Variant surface antigens (VSAs) are important targets of protective immunity[7], but are also responsible for parasite evasion of the immune system by means of clonal antigenic variation [810].

Co-infection with HIV-1 and malaria is common in Africa[11]. HIV-1 infected people with low CD4 count have a higher prevalence of P. falciparum malaria infection, disease and treatment failure [1215]. However, little is known regarding the impact of HIV-1 infection on humeral immunity to P. falciparum. Differences in anti-malarial antibody levels have been shown in HIV-1 infected pregnant adults [1618] and adults hospitalized with AIDS[19], but data for non-pregnant HIV-1 infected individuals are lacking. The impairment of the humeral response to malaria by a HIV-1 infection might partly explain the predisposition of HIV-1 infected adults to malaria disease. Understanding malaria immunity in HIV-1 infected individuals may also have implications for the deployment of future malaria vaccines.

This study assessed the anti-malarial humeral immunity in HIV-1 infected individuals and its association with anti-malarial treatment failure

Methods

Patients

This study was conducted in Ndola, Zambia, an area of meso- to hyperendemic malaria[20], between October 2004 and June 2005 within a randomized clinical trial (RCT) comparing the safety and efficacy of artemether-lumefantrine (AL) and sulphadoxine-pyrimethamine (SP) in adults with uncomplicated P. falciparum malaria.

The study and the results have been reported elsewhere [20]. Briefly, all individuals aged 15-50 years, attending four peri-urban health centers and with fever (body temperature ≥ 37.5°C), and/or history of fever in the previous 48 hours without any other obvious disease were screened for P. falciparum malaria infection and pregnancy (if applicable) and were included if they had a parasite density of at least 1,000 parasites/μL. Additional exclusion criteria were: severe malaria; documented intake of SP or AL two weeks prior recruitment; other cause of fever; evidence of underlying chronic diseases (cardiac, renal, hepatic, malnutrition); pregnancy; history of allergy to study drug or other sulfa drugs; non-resident in the study area.

Clinical history, body temperature and physical findings were recorded. Venous blood (5 ml) was used to prepare blood films, impregnated filter papers (Schleicher & Schuell) for molecular analysis, measurement of hemoglobin (HemoCue®) and test for HIV-1 infection, CD4 count and viral load (if HIV-1 infected). Residual plasma was separated, stored and transported at -70°C to be assayed by ELISA and FACS for malarial antibody quantification. Patients were followed up until 45 day post-treatment when CD4 count was reassessed, as a proxy of underlying immune suppression. The study was approved by the ethical and scientific committees of the Institute of Tropical Medicine, Antwerp, Belgium, The Antwerp University, the Tropical Disease Research Centre, Ndola, Zambia and Melbourne Health Research Directorate, Australia.

Laboratory methods

All laboratory technicians were blinded to clinical data. Thin blood films were fixed with methanol and thin and thick blood films were stained with 10% Giemsa. Parasite densities were determined by microscopy as the number of asexual P. falciparum parasites per 200 white blood cells (WBC). Parasitaemia/μl was computed using the actual WBC counts. Internal quality control was organized as recommended by WHO[21]. HIV-1 testing consisted of a screening EIA (Abbott Determine, Abbott laboratories, US) and confirmation of reactive samples by a second EIA (Genie II, Sanofi, Canada). Samples with discordant results were retested with Capillus (Cambridge, Diagnostics, Ireland) whose result was considered as final. CD4 count were performed on all individuals with a direct volumetric absolute CD4 counting instrument (Cyflow® Counter, Partec, Germany)[22]. A FACSCount® instrument (Becton Dickinson, US) was used to validate the Cyflow data and served as a quality control. Based on previous research, a CD4 count of 300/μl at study entry and 450/μL at 45 days follow up was used as a threshold between low and high counts[13]. In order to distinguish recrudescence from reinfection, blood samples, collected on filter paper, were assessed with a nested PCR technique as described previously[20]. HIV-1 RNA was assayed in plasma by the Roche Amplicor HIV-1 Monitor Test, version 1.5 (Roche Diagnostics, Branchburg, NJ, USA).

Several parasite lines (E8B, A4 and HCD6) were used for assessing malarial humeral immunity status. Parasite line E8B, expressing a mix of var genes, adheres to CD36 and ICAM-1. Of these var genes, A4var (which binds to ICAM-1[23]) is a minor transcript (M Duffy, unpublished). Var gene expression of parasite line A4 was maintained by positive selection using monoclonal antibody BC6 [24] and was provided courtesy of Prof C. Newbold. Parasite line HCD6 was derived from a laboratory adapted patient isolate by repeated panning on CD36. HCD6 also expresses a mix of var genes and adheres to CD36 but not ICAM-1. Infected erythrocytes (IE) were cultured as described[25]. For flow cytometry, IE with trophozoite-stage parasites were harvested at 7-12% parasitaemia and washed three times in phosphate buffered saline/1% newborn calf serum (PBS+; Commonwealth Serum Laboratories, Melbourne, Australia). IE were resuspended in PBS+ at 107/mL with test serum (1 in 20 dilution, final volume 100 μL) in microtitre plates and incubated at room temperature for 30 min, washed as before, and incubated for 30 min with rabbit anti-human IgG and (after further washing as before) with Alexafluor® 488-conjugated donkey anti-rabbit IgG (Invitrogen, Eugene, Oregon USA) and ethidium bromide (final concentration 10 mg/L, PROGEN, Brisbane, Australia). Washed cells were resuspended in 200 μL PBS+ and analyzed on a Becton Dickinson FACSCalibur flow cytometer with Cell Quest software. IE were gated according to ethidium bromide fluorescence, and 1,000 cells positive for ethidium bromide were collected. For each serum sample, the geometric mean Alexafluor 488 fluorescence intensity (MFI) generated by the gated population of IE was recorded. Control serum samples from malaria naïve adults were included in each assay. A positive control pool of hyper-immune serum against VSAs of E8B, A4 and HCD6 was made from the serum of 11 Malawian adults and run in duplicate in each assay. Samples with readings below the mean of the unexposed controls were assigned half the lowest value of that particular VSA variable in order to permit log-transformation; samples given a positive reading were assigned relative values by use of the formula (sample reading minus negative-control reading divided by positive control reading minus negative-control reading) × 100. Samples giving a reading above positive control were further diluted and values were assigned following the same formula and recalculated to the original dilution.

Antibody levels to merozoite antigens were measured by ELISA. Recombinant 3D7 or FC27 MSP2 or AMA-1 proteins (2 μg/ml in PBS, kindly provided by Prof R Anders) were used to coat microtitre plates overnight at 4°C. Plates were blocked for 1 h with PBS/5% skim milk powder (Blotto) and washed five times with phosphate-buffered saline containing 0.05% Tween (PBS/Tween). Samples diluted 1 in 1,000 in Blotto were added to plates (50 μL, in duplicate) and incubated for 2 h. After washing, horseradish-peroxidase-conjugated sheep antibody to human IgG (1 in 2,000; Silenus) was added and the plates were incubated for 2 h then washed three times in PBS/Tween and twice in deionized water. Peroxidase substrate was added and color was developed, plates were read at 415 nm on a Biorad plate reader version 5.2, and OD results were expressed relative to positive and negative controls as for VSA antibodies. Results were also classified as positive (optical density greater than the mean plus two SD of non-exposed sera) or negative. To estimate the "breadth" of immunity a binary variable "low responders" was created. Low responders were defined as having antibody levels below the geometric mean on all three antigens.

Treatment outcomes were defined according to the most recent WHO classification and are described in detailed elsewhere[13, 21]. For this report, it was considered that the adequate parasitological and clinical response was the absence of recurrent parasitaemia. Recurrent parasitaemia distinguished new infections from recrudescence by PCR genotyping.

Statistical analysis

Clinical data were double entered and organized in Epi-info (version 6.04b; Centers for Disease Control and Prevention, Atlanta, GA). All data were exported to STATA version 10.0 (Stata Corporation, College Station, Texas, USA) for analysis. Normally distributed variables were compared by Student's t test, non-normally distributed variables by Mann-Whitney's rank sum test (two groups). Differences in proportions were assessed by χ2 analysis. Linear regression modeling was used to assess associations between humeral immunity and other factors. For the linear regression modeling, all non-normally distributed variables were log transformed and factors with a P- value < 0.10 were retained, as well as factors modifying the regression coefficient of the main determinant by more than 10%. All reported P-values are two-sided. Logistic regression modeling was used to assess if humeral immunity was a risk factor for treatment failure. P-values < 0.05 were considered significant.

Results

Characteristics of the study population

Between October 2004 and June 2005, 339 adult patients were enrolled, 115 (33.9%) of them HIV-1 infected (Table 1). Compared to non-infected, HIV-1 infected patients were older (P < 0.001), comprised more women (P < 0.001), had lower CD4 count on day 0 (P < 0.001) and had lower hemoglobin levels (P < 0.001). No differences were found for mean WBC count (P = 0.26), parasite load (P = 0.92) and body weight (P = 0.95).
Table 1

Characteristics of study population according to HIV-1 status

Characteristic

No HIV-1 infection

(n = 224)

HIV-1 infection

(n = 115)

P Value

Mean weight, kg (SD)

56.98

56.89

0.95

Number of women, N (%)

98 (43.8)

72 (62.6)

0.001

Mean age, years (SD)

24.7 (9.1)

29.5 (7.6)

<0.001

Mean white blood cell count, *109/L (SD)†

5.3 (1.9)

5.1 (1.7)

0.26

Mean hemoglobin, g/L (SD)

140 (20)

124 (25)

<0.001

Mean Log Viral load HIV-1 RNA copies/μL (SD)

 

4.87 (0.64)

 

Mean (geometric) parasite density/μL (range)†

9,715 (378-153,120)

9,566 (390-158,894)

0.92

Mean (geometric) CD4 count baseline/μL (95%CI)‡

458 (427-492)

259 (242-277)

<0.001

Mean (geometric) CD4 count day45/μL (95%CI) §

839 (769-915)

379 (317-454)

<0.001

Low responders to Combined merozoite antigens, N(%)

42 (18.8)

35 (30.4)

0.02

Low responders to Combined Variant Surface Antigens¶, N (%)

68 (30.4)

33 (28.7)

0.75

*P value based on Students' t- test, Chi square or Wilcoxon Rank -Sum as required

† Data on WBC were missing in 1 patient in the non-HIV-1 infected group and in 2 in the HIV-1 infected group

‡ Data on baseline CD4 count were missing in 6 patients in the non-HIV-1 infected group and in 4 in the HIV-1 infected group

§Data on CD4 count on day 45 used only from patients without parasitaemia; non-HIV-1 infected group n = 108, HIV-1 infected group n = 66

//Low responders are <geometric mean for Merozoïte antigens AMA -1, MSP2 3D7 and MSP2 FC27 and Variant Surface Antigens from parasite lines E8B, A4, and HCD6.

¶After adjustment for CD4 count and age, low responders remained associated with HIV-1 infection (OR:2.40, P = 0.01), parasite load (OR: 1.62, P = 0.06) and absence of anemia (OR:0.55, P = 0.07).

Antibody levels to merozoite antigens

HIV-1 infected individuals had lower AMA-1 IgG (P = 0.02) than HIV-1 negative adults, but this difference in antibody level was not observed for either MSP2 serotypes (P = 0.68 and P = 0.14) (Figure 1). More HIV-1 infected adults were low responders compared to HIV-1 uninfected adults ((30.4% vs 18.8%; P = 0.02) (Table 1). Overall, low responders (n = 77), compared to high responders (n = 262), were more likely to have a low CD4 count (42.7% vs 29.9%, P = 0.04) and high parasite density (geometric mean 13,461 vs 8,787 parasites/μL, P = 0.01) (Data not shown). After adjustment for CD4 count and age, low responders remained associated with HIV-1 infection (adjusted odds ratio (AOR):2.40; P = 0.01), parasite load (AOR:1.62; P = 0.06) and had less anemia (AOR:0.55; P = 0.07) (Table 1).
Figure 1

Anti-Malarial Antibody Levels to Merozoite Blood Stage Antigens by HIV-1 Status. P value by Mann-Whitney's rank sum test.

Among HIV-1 infected adults, low CD4 count at day 0 was associated with low AMA-1 antibody levels (slope:0.9; P = 0.003) but not with IgG to the MSP2 serotypes (3D7:slope:-0.04; P = 0.92 and FC27:slope:0.21; P = 0.38) (Table 2). Parasite load was negatively associated with antibody levels to the MSP2 3D7 (slope:0.25; P = 0.02) and the MSP2 FC27 serotype (slope:-0.19; P = 0.08). No associations between antibody levels with the separate merozoite antigens and CD4 count on day 45 were found in the HIV-1 infected adults. (AMA-1:P = 0.69; 3D7:P = 0.78; FC27:P = 0.76).
Table 2

Factors Influencing Antibody Levels to Merozoite Blood Stage Antigen within HIV-1 infected Population (N = 115)

Merozoite Blood Stage Antigen

Risk factor

AMA -1

MSP2 3D7

MSP2 FC27

Low Responders

 

Univariate

Multivariate

Univariate

Multivariate

Univariate

Multivariate

Univariate

Multivariate

 

Slope

P

Slope

P

Slope

P

Slope

P

Slope

P

Slope

P

OR

P

OR

P

CD4 count day 0

(log 10 /μL)

0.68

0.03

0.9

0.003

0.04

0.86

-0.02

0.92

0.21

0.38

-

-

0.71

0.19

0.44

0.31

Parasite load

(log 10 /μL)

-0.21

0.13

-

-

-0.22

0.03

-0.25

0.02

-0.19

0.08

-

-

1.59

0.05

-

-

White Blood cell Count

(*10 9 /L)

-0.02

0.63

-0.02

0.58

-0.05

0.14

-

-

-0.03

0.64

-

-

1.03

0.21

1.03

0.82

Hemoglobin day 0

(g/L)

-0.06

0.07

-0.1

0.01

-0.05

0.03

-

-

-0.03

0.33

-

-

1.14

0.83

0.39

0.03

Viral load

(log 10 RNA copies/μL)†

-0.11

0.48

-

-

0.02

0.82

-

-

0.1

0.45

-

-

0.95

0.95

-

-

Age

(years)

-0.01

0.53

-

-

0.003

0.74

-

-

0.01

0.43

-

-

1

0.9

-

-

Gender

-0.01

0.96

-

-

0.11

0.4

-

-

0.12

0.4

-

-

1.17

0.7

-

-

Weight

(Kg)

-0.003

0.65

-

-

-0.01

0.09

-

-

-0.01

0.02

-

-

1.02

0.12

-

-

Values that reached statistical significance in multivariate analysis are indicated in bold † Viral load was not included in multivariate analyses due to many missing values (35/80)

Antibody levels to variant surface antigens

HIV-1 infected individuals and uninfected individuals had similar MFI for all three parasite lines expressing different VSAs (E8B:P = 0.22; A4:P = 0.39; HCD6:P = 0.89) (Figure 2). In all patients, regardless of the HIV-1 status, high parasite density (AOR:1.70; P = 0.02) and weight (AOR:1.03; P = 0.02) were associated with low response to all VSAs.
Figure 2

Total IgG reactivity to Variant Surface Antigens by HIV-1 Status. P value by Mann-Whitney's rank sum test.

Among the HIV-1 infected adults, parasite density was negatively associated with antibody levels to all VSAs, but an interaction between parasite density and WBC count was found. HIV-1 infected adults with a WBC count ≥ 4,900/μL had a higher parasite load than those <4900/μL (P = 0.02). In subjects with a WBC count ≥ 4,900/μL, the parasite density was inversely associated with all VSA antibody levels (E8B:slope:-0.72; P = 0.003; A4:-0.72;P = 0.002; HCD6:-0.24; P = 0.005) (Table 3). Within the HIV-1 infected population, high parasite density (AOR:2.17; P = 0.05) and low WBC count (AOR:0.78; P = 0.07) were associated with a low response to all three VSAs.
Table 3

Factors Influencing Antibody Levels to Variant Surface Antigen within HIV-1 infected Population (N = 115)

Variant Surface Antigen

Risk factor

VSA E8B

VSA A4

VSA HCD6

Low responders

 

Univariate

Multivariate

Univariate

Multivariate

Univariate

Multivariate

Univariate

Multivariate

 

Slope

P

Slope

P

Slope

P

Slope

P

Slope

P

Slope

P

OR

P

OR

P

CD4 count day 0 (log 10 /μL)

-0.44

0.19

-

-

-0.41

0.23

-

-

-0.05

0.71

-

-

1.66

0.52

-

-

Parasite load (log 10 /μL)*

-0.29

0.05

-0.72

0.003

-0.3

0.04

-0.72

0.002

-0.11

0.07

-0.24

0.005

1.78

0.12

2.17

0.05

White Blood cell Count

(*10 9 /L)

0.07

0.21

-

-

0.04

0.46

-

-

0.03

0.12

-

-

0.83

0.18

0.78

0.07

Hemoglobin day 0 (g/L)

0.01

0.83

-

-

-0.02

0.65

-

-

0.001

0.97

-

-

0.81

0.62

-

-

Viral load

(log 10 RNA copies/μL)†

0.13

0.49

-

 

-0.05

0.77

-

-

-0.01

0.92

  

0.83

0.62

-

-

Age

(years)

-0.01

0.3

-

-

-0.01

0.14

-

-

-0.01

0.14

-

-

1.03

0.34

-

-

Gender

0.22

0.22

-

-

0.17

0.36

-

-

0.01

0.92

-

-

0.65

0.32

-

-

Weight

(Kg)

-0.01

0.12

-

-

-0.01

0.05

-

-

-0.01

0.06

0.003

0.19

1.02

0.16

-

-

Values that reached statistical significance in multivariate analysis are indicated in bold

* Stratified on white blood cell count (median 4.9), statistical significance only reached in subgroup with white blood cell count _ 4.9 (median)

† Viral load was not included in multivariate analyses due to many missing values (35/80)

Antibody levels to VSA of E8B and A4 were inversely related to CD4 count at day 45 (both P = 0.02) though there was an interaction between initial parasitaemia and CD4 count at day 45 (P = 0.05. In HIV-1 infected with a CD4 count at day 45 <450 cells/μL, no association between parasite load and antibody levels to VSA E8B or A4 was found. In HIV-1 infected with a CD4 count ≥ 450 cells/μL on day 45, antibody levels to VSA of E8B and A4 were inversely associated with parasite density (both P = 0.03).

Malaria humeral immunity and malaria treatment failure

Of the evaluable subjects, 82.8% (222/268) patients had an adequate parasitological and clinical response at day 45. PCR genotyping identified 16 patients with new infections (6.0%) and 30 patients with recrudescence (11.2%).

No difference in antibody levels to merozoite antigens or VSA was found between patients successfully treated for malaria and those with recurrent parasitaemia. However, after PCR correction, high antibody levels to the VSAs of E8B, A4, and HCD6 protected for recrudescence P = 0.02; P = 0.02 and P = 0.04 respectively) (Table 4). Additional risk factors for recrudescence were high parasite density (AOR:2.64; P = 0.04), anemia (AOR:4.67; P = 0.0001) and SP treatment (AOR:7.98; P = 0.001). Despite the low power, we observed trends showing SP increasing the risk of new infections (AOR:2.69; P = 0.08), and good response to all VSAs decreasing the risk of new infections (AOR:0.16; P = 0.08).
Table 4

Risk of Recrudescence due to Low Antibody Levels to Blood Stage Malarial Antigens in Total Population (N = 268)

Parasite Isolate/Antigen

Odds Ratio*

95% CI

P value

VSA E8B

0.68

0.50-0.94

0.02

VSA A4

0.61

0.40-0.92

0.02

VSA HCD6

0.28

0.08-0.96

0.04

AMA-1

1

0.58-1.75

0.98

MSP2 type 3D7

1.08

0.57-2.07

0.81

MSP2 type FC27

1.08

0.57-2.07

0.81

* All results of antibodies to Variant Surface Antigens were adjusted for CD4 count on day 0 in a multivariate logistic regression model. Additional risk factors for recrudescence were high parasite density (AOR:2.64; P = 0.04), anemia (AOR:4.67; P = 0.0001) and SP treatment (AOR:7.98; P = 0.001).

Discussion

HIV-1 infection increases the risks of malaria infection and disease, and (among immune-compromised patients) decreases responses to anti-malarial therapy [1214]. Given the central importance of humeral immunity in protecting against malaria, antibody levels to key merozoite antigens and VSA were assessed in adult Zambians with HIV-1 infection and related immune suppression and their association with anti-malarial treatment outcome[13]. Since merozoite antigens and VSAs differ both in their timing of expression and in their conservation or variation between different isolates, they are discussed separately.

Merozoite antigens: AMA-1, MSP2 3D7 and MSP2 FC27

HIV-1 infection was associated with low antibody levels to AMA-1 and, among HIV-1 infected adults, low AMA-1 antibody levels were associated with low CD4 count. And HIV-1 infected adults were twice as likely as HIV-1 negative adults to have low antibody levels to all three merozoite antigens combined.

Reduced concentrations of antibody levels to AMA-1 have also been demonstrated in HIV-1 infected pregnant Malawian women[18]. In that particular study, antibody levels to AMA1 were not associated with CD4 count, but AMA-1 antibody levels were higher in HIV-1 infected women with malaria infection than those without malaria infection (S Rogerson, unpublished observations).

Acute P. falciparum infection induces a short-lived depression in circulating T cell numbers [26, 27]. As HIV-1 infection and malaria both influence CD4 count, difficulties arise when assessing associations between those infections and cellular immunity. The positive relationship between the concentration of antibodies to AMA-1 and the CD4 count on enrolment may indicate that low CD4 count directly influences antibody production, as required T cell help is limited. AMA-1 antibody levels at day 0 were not associated with CD4 count at day 45, suggesting that the association between AMA-1 antibody and CD4 count at day 0 may be a function of the degree of T cell reallocation, rather than a direct effect of HIV-1 on antibody levels. Unfortunately, antibody levels were not measured at follow up, when CD4 count was restored, and malaria infection had usually been eliminated: such measurements, and measurement of IgG subclass responses, could provide useful information on the dynamics of immune responses following symptomatic malaria in adults[28]. Limited studies have examined the effect of HIV-1 on antibody immunity to malaria in adults. One such study suggested that HIV-1 infected adults only become vulnerable to malaria when they develop AIDS[19]. Because T and B cell functions are affected early in HIV-1 infection[29], malaria specific humeral immunity might also be affected in the early HIV-1 stages. Antibodies to different targets probably act in an additive or synergistic manner[3] and, under natural exposure, protective immunity to malaria results from high titer antibody levels to multiple antigenic targets [3032]. To begin to examine the impact of HIV-1 on antibody response to multiple antigenic targets, antibody results for the three merozoite antigens tested were combined [32]. In this study, HIV-1 infected adults were over twice as likely to be "low responders" to this combination of targets, and low responders tended to have a higher parasite load. HIV-1 might decrease antibody to many targets by small amounts; in combination, such defects could predispose to disease or (as these data suggest) to uncontrolled parasite replication.

Somewhat unexpectedly, within the HIV-1 infected population, low responders were less anemic. The recruited patients came from a community where malaria transmission is relatively homogeneous, so differences in exposure and concomitant development of malarial anemia seem unlikely. Second, the major contributor to the hemolytic anemia is the accelerated destruction of uninfected RBC, probably linked to immune mechanisms[33]. Therefore, lower antibody levels might be an independent protective factor for erythrocyte destruction. However, as low responders have higher parasite loads, the overall impact might be limited. Additional research with a longitudinal follow up and a larger panel of antigenic targets is required to determine whether antibody to blood stage parasites influence anemia risk in this already immune-compromised population.

In the whole study population, antibody levels to both MSP2 types were negatively associated with parasite density indicating their direct involvement in parasite control whereas AMA-1 antibody levels were not. The results found for MSP2 IgG confirm studies that have shown associations between antibody levels to blood stage antigens and decreased prospective risk of clinical malaria[6, 31, 32, 3436].

Variant surface antigens of the parasite lines E8B, A4, and HCD6

Adult study participants should already have immunity to severe malaria and their antibody repertoire to VSAs may be extensive[3]. It may, therefore, not be surprising that no differences were found in antibody levels to VSA of the different parasite lines between HIV-1 infected and HIV-1 negative adults. Since natural immunity may include the acquisition of a large repertoire of cross-reactive VSA specific antibodies, it may take considerable time until the impact of HIV-1 on humeral responses is apparent. In previous studies, asymptomatic HIV-1 infected individuals maintained antibody levels[37], in contrast to patients with advanced clinical AIDS[19]. Indeed, only increased immune suppression diminishes B cell stimulation, resulting in decreased production of malaria specific antibodies[38]. Nevertheless, reduced antibody production to blood stage antigens and functional abnormalities of VSA specific IgG have been found in HIV-1 pregnant women without clinical AIDS [17, 18]. Malaria in pregnancy is characterized by development of immunity to unique VSA expressed by IE capable of sequestering in the placenta [39]. HIV-1 is associated with decreased IgG antibody levels to these VSA, and decreased opsonizing antibody levels that cause phagocytic clearance of such IE [16, 18]. Because immunity to pregnancy-associated malaria is only acquired during pregnancy, it may be more susceptible to the effects of concomitant HIV-1, compared to immunity built up by the subjects in this study over a lifetime, much of it preceding HIV-1 infection. The same reasoning might be applicable for children living in malaria endemic areas. Malaria in children is characterized by a development of immunity to VSAs. Low antibody levels to VSAs might be associated with increased clinical malaria incidence and treatment failure and HIV-1 infection might be associated with decreased IgG antibody levels to these VSA. Further research will be needed to assess this hypothesis.

Although VSA antibody levels were not directly associated with HIV-1 infection, they appear to have important roles in controlling malaria parasitaemia in this cohort. Among HIV-1 infected adults with a WBC count ≥ 4,900/μL, antibody levels to VSA were inversely related to parasitaemia. Among all patients, for those with a CD4 count >450/μL on day 45 there was a negative association between parasite load and antibody levels to VSAs of parasite lines E8B and A4. Antibody to VSA operates by preventing sequestration of IE in the vasculature (to avoid splenic clearance), or by opsonization of IE by cytophilic antibodies[40]. Further research should include IgG isotype determination and functional assays of these properties to assess and confirm this finding.

Antibody levels to VSA were similar in patients successfully treated for malaria and the patients who experienced recurrent infection, but high levels of antibody levels to VSAs were associated with decreased risk of recrudescence, suggesting that these antibodies may complement the therapeutic response to the anti-malarial drug[41]. Indeed, an adequate host immunological response is needed in order to maximize the pharmacodynamic properties of an anti-malarial drug[12, 41]. As PCR has some technical limitations in distinguishing recrudescences from new infections further research will be needed to conclusively interpret this result[42].

Conclusion

This study provides evidence that HIV-1 affects humeral responses to AMA-1. Although levels of antibody to the other merozoite antigens and VSA were not or little affected by HIV-1 infection, they appeared to play an important role in controlling parasite density, and the inability to control malaria parasite density is one of the features of HIV-1 immune suppression. Furthermore, recrudescence was associated with low VSA antibody titers to all three parasite lines tested. Specific research in HIV-1 and malaria co-infected adults, with pre-established malaria-immunity, might offer additional insights into malaria immunity.

Conflict of interests

The authors declare that they have no competing interests.

Declarations

Acknowledgements

Funding was received by the Belgian Development Co-operation in the framework of an institutional collaboration between the TDRC in Ndola and the ITM in Antwerp, and from the National Health and Medical Research Council of Australia. We would like to thank all the patients and their families who contributed to this study. Sincere thanks also to the staff of the health centers where the study was carried out. We are also grateful to the Director TDRC for his support and to the Director DHMT for offering his clinic facilities to the study.

Authors’ Affiliations

(1)
Unit International Health, Epidemiology and Social Medicine, Antwerp University
(2)
Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam
(3)
Department of Medicine, University of Melbourne
(4)
Tropical Disease Research Center
(5)
Department Parasitology, Institute of Tropical Medicine

References

  1. Langhorne J, Ndungu FM, Sponaas AM, Marsh K: Immunity to malaria: more questions than answers. Nat Immunol. 2008, 9: 725-732. 10.1038/ni.f.205.View ArticlePubMedGoogle Scholar
  2. Artavanis-Tsakonas K, Tongren JE, Riley EM: The war between the malaria parasite and the immune system: immunity, immunoregulation and immunopathology. Clin Exp Immunol. 2003, 133: 145-152. 10.1046/j.1365-2249.2003.02174.x.PubMed CentralView ArticlePubMedGoogle Scholar
  3. Marsh K, Kinyanjui S: Immune effector mechanisms in malaria. Parasite Immunol. 2006, 28: 51-60. 10.1111/j.1365-3024.2006.00808.x.View ArticlePubMedGoogle Scholar
  4. Kats LM, Cooke BM, Coppel RL, Black CG: Protein trafficking to apical organelles of malaria parasites - building an invasion machine. Traffic. 2008, 9: 176-186.View ArticlePubMedGoogle Scholar
  5. de Souza W: An introduction to the structural organization of parasitic protozoa. Curr Pharm Des. 2008, 14: 822-838. 10.2174/138161208784041123.View ArticlePubMedGoogle Scholar
  6. Nebie I, Diarra A, Ouedraogo A, Soulama I, Bougouma EC, Tiono AB, Chilengi R, Theisen M, Dodoo D, Remarque E, Bosomprah S, Milligan P, Sirima SB: Humoral responses to Plasmodium falciparum blood-stage antigens and association with incidence of clinical malaria in children living in an area of seasonal malaria transmission in Burkina Faso, West Africa. Infect Immun. 2008, 76: 759-766. 10.1128/IAI.01147-07.PubMed CentralView ArticlePubMedGoogle Scholar
  7. Miller LH, Baruch DI, Marsh K, Doumbo OK: The pathogenic basis of malaria. Nature. 2002, 415: 673-679. 10.1038/415673a.View ArticlePubMedGoogle Scholar
  8. Ofori MF, Dodoo D, Staalsoe T, Kurtzhals JA, Koram K, Theander T, Akanmori BD, Hviid L: Malaria-induced acquisition of antibodies to Plasmodium falciparum variant surface antigens. Infect Immun. 2002, 70: 2982-2988. 10.1128/IAI.70.6.2982-2988.2002.PubMed CentralView ArticlePubMedGoogle Scholar
  9. Deitsch KW, Hviid L: Variant surface antigens, virulence genes and the pathogenesis of malaria. Trends Parasitol. 2004, 20: 562-566. 10.1016/j.pt.2004.09.002.View ArticlePubMedGoogle Scholar
  10. Kraemer SM, Smith JD: A family affair: var genes, PfEMP1 binding, and malaria disease. Curr Opin Microbiol. 2006, 9: 374-380. 10.1016/j.mib.2006.06.006.View ArticlePubMedGoogle Scholar
  11. Van geertruyden JP, D'Alessandro U: Malaria and HIV: a silent alliance. Trends Parasitol. 2007, 23: 465-467. 10.1016/j.pt.2007.08.006.View ArticlePubMedGoogle Scholar
  12. Hewitt K, Steketee R, Mwapasa V, Whitworth J, French N: Interactions between HIV and malaria in non-pregnant adults: evidence and implications. AIDS. 2006, 20: 1993-2004. 10.1097/01.aids.0000247572.95880.92.View ArticlePubMedGoogle Scholar
  13. Van geertruyden JP, Mulenga M, Mwananyanda L, Chalwe V, Moerman F, Chilengi R, Kasongo W, Van Overmeir C, Dujardin JC, Colebunders R, Kestens L, D'Alessandro U: HIV-1 immune suppression and antimalarial treatment outcome in Zambian adults with uncomplicated malaria. J Infect Dis. 2006, 194: 917-925. 10.1086/507310.View ArticlePubMedGoogle Scholar
  14. Chalwe V, Van geertruyden JP, Mukwamataba D, Menten J, Kamalamba J, Mulenga M, D'Alessandro U: Increased risk for severe malaria in HIV-1-infected adults, Zambia. Emerg Infect Dis. 2009, 15: 749-10.3201/eid1505.081009.PubMed CentralView ArticlePubMedGoogle Scholar
  15. Mouala C, Guiguet M, Houze S, Damond F, Pialoux G, Viget N, Costagliola D, Le Bras J, Matheron S, FHDH-ANRS CO4 Clinical Epidemiology Group: Impact of HIV infection on severity of imported malaria is restricted to patients with CD4 cell counts < 350 cells/microl. AIDS. 2009, 23: 1997-2004. 10.1097/QAD.0b013e32832f4215.View ArticlePubMedGoogle Scholar
  16. Keen J, Serghides L, Ayi K, Patel SN, Ayisi J, van Eijk A, Steketee R, Udhayakumar V, Kain KC: HIV impairs opsonic phagocytic clearance of pregnancy-associated malaria parasites. PLoS Med. 2007, 4: e181-10.1371/journal.pmed.0040181.PubMed CentralView ArticlePubMedGoogle Scholar
  17. Dembo EG, Mwapasa V, Montgomery J, Craig AG, Porter KA, Meshnick SR, Molyneux ME, Rogerson SJ: Impact of human immunodeficiency virus infection in pregnant women on variant-specific immunity to malaria. Clin Vaccine Immunol. 2008, 15: 617-621. 10.1128/CVI.00378-07.PubMed CentralView ArticlePubMedGoogle Scholar
  18. Mount AM, Mwapasa V, Elliott SR, Beeson JG, Tadesse E, Lema VM, Molyneux ME, Meshnick SR, Rogerson SJ: Impairment of humoral immunity to Plasmodium falciparum malaria in pregnancy by HIV infection. Lancet. 2004, 363: 1860-1867. 10.1016/S0140-6736(04)16354-X.View ArticlePubMedGoogle Scholar
  19. Migot F, Ouedraogo JB, Diallo J, Zampan H, Dubois B, Scott-Finnigan T, Sanou PT, Deloron P: Selected P. falciparum specific immune responses are maintained in AIDS adults in Burkina Faso. Parasite Immunol. 1996, 18: 333-339. 10.1046/j.1365-3024.1996.d01-116.x.View ArticlePubMedGoogle Scholar
  20. Mulenga M, Van geertruyden JP, Mwananyanda L, Chalwe V, Moerman F, Chilengi R, Van Overmeir C, Dujardin JC, D'Alessandro U: Safety and efficacy of lumefantrine-artemether (Coartem) for the treatment of uncomplicated Plasmodium falciparum malaria in Zambian adults. Malar J. 2006, 5: 73-10.1186/1475-2875-5-73.PubMed CentralView ArticlePubMedGoogle Scholar
  21. World Health Organization: Assessment and monitoring of antimalarial drug efficacy for the treatment of uncomplicated falciparum malaria. 2003, WHO. GenevaGoogle Scholar
  22. Janossy G, Jani I, Gohde W: Affordable CD4(+) T-cell counts on 'single-platform' flow cytometers I. Primary CD4 gating. Br J Haematol. 2000, 111: 1198-1208. 10.1046/j.1365-2141.2000.02433.x.View ArticlePubMedGoogle Scholar
  23. Smith JD, Craig AG, Kriek N, Hudson-Taylor D, Kyes S, Fagan T, Pinches R, Baruch DI, Newbold CI, Miller LH: Identification of a Plasmodium falciparum intercellular adhesion molecule-1 binding domain: a parasite adhesion trait implicated in cerebral malaria. Proc Natl Acad Sci USA. 2000, 97: 1766-1771. 10.1073/pnas.040545897.PubMed CentralView ArticlePubMedGoogle Scholar
  24. Gardner JP, Pinches RA, Roberts DJ, Newbold CI: Variant antigens and endothelial receptor adhesion in Plasmodium falciparum. Proc Natl Acad Sci USA. 1996, 93: 3503-3508. 10.1073/pnas.93.8.3503.PubMed CentralView ArticlePubMedGoogle Scholar
  25. Beeson JG, Mann EJ, Elliott SR, Lema VM, Tadesse E, Molyneux ME, Brown GV, Rogerson SJ: Antibodies to variant surface antigens of Plasmodium falciparum-infected erythrocytes and adhesion inhibitory antibodies are associated with placental malaria and have overlapping and distinct targets. J Infect Dis. 2004, 189: 540-551. 10.1086/381186.PubMed CentralView ArticlePubMedGoogle Scholar
  26. Hviid L, Kurtzhals JA, Goka BQ, Oliver-Commey JO, Nkrumah FK, Theander TG: Rapid reemergence of T cells into peripheral circulation following treatment of severe and uncomplicated Plasmodium falciparum malaria. Infect Immun. 1997, 65: 4090-4093.PubMed CentralPubMedGoogle Scholar
  27. Van geertruyden JP, Mulenga M, Kasongo W, Polman K, Colebunders R, Kestens L, D'Alessandro U: CD4 T-cell count and HIV-1 infection in adults with uncomplicated malaria. J Acquir Immune Defic Syndr. 2006, 43: 363-367. 10.1097/01.qai.0000243125.98024.da.View ArticlePubMedGoogle Scholar
  28. Akpogheneta OJ, Duah NO, Tetteh KK, Dunyo S, Lanar DE, Pinder M, Conway DJ: Duration of naturally acquired antibody responses to blood-stage Plasmodium falciparum is age dependent and antigen specific. Infect Immun. 2008, 76: 1748-1755. 10.1128/IAI.01333-07.PubMed CentralView ArticlePubMedGoogle Scholar
  29. Miedema F, Petit AJ, Terpstra FG, Schattenkerk JK, de Wolf F, Al BJ, Roos M, Lange JM, Danner SA, Goudsmit J: Immunological abnormalities in human immunodeficiency virus (HIV)-infected asymptomatic homosexual men. HIV affects the immune system before CD4+ T helper cell depletion occurs. J Clin Invest. 1988, 82: 1908-1914. 10.1172/JCI113809.PubMed CentralView ArticlePubMedGoogle Scholar
  30. John CC, Moormann AM, Pregibon DC, Sumba PO, McHugh MM, Narum DL, Lanar DE, Schluchter MD, Kazura JW: Correlation of high levels of antibodies to multiple pre-erythrocytic Plasmodium falciparum antigens and protection from infection. Am J Trop Med Hyg. 2005, 73: 222-228.PubMedGoogle Scholar
  31. Gray JC, Corran PH, Mangia E, Gaunt MW, Li Q, Tetteh KK: Profiling the antibody immune response against blood stage malaria vaccine candidates. Clin Chem. 2007, 53: 1244-1253. 10.1373/clinchem.2006.081695.View ArticlePubMedGoogle Scholar
  32. Osier FH, Fegan G, Polley SD, Murungi L, Verra F, Tetteh KK, Polley SD, Conway DJ, Holder AA, Bacarese-Hamilton T, Riley EM, Crisanti A: Breadth and magnitude of antibody responses to multiple Plasmodium falciparum merozoite antigens are associated with protection from clinical malaria. Infect Immun. 2008, 76: 2240-2248. 10.1128/IAI.01585-07.PubMed CentralView ArticlePubMedGoogle Scholar
  33. White NJ, Landau N, Gautret P: Malaria pathophysiology. Malaria: parasite biology, pathogenesis and protection. Washington D.C. Edited by: Sherman IW. 1998, 378-379.Google Scholar
  34. Metzger WG, Okenu DM, Cavanagh DR, Robinson JV, Bojang KA, Weiss HA, McBride JS, Greenwood BM, Conway DJ: Serum IgG3 to the Plasmodium falciparum merozoite surface protein 2 is strongly associated with a reduced prospective risk of malaria. Parasite Immunol. 2003, 25: 307-312. 10.1046/j.1365-3024.2003.00636.x.View ArticlePubMedGoogle Scholar
  35. Polley SD, Mwangi T, Kocken CH, Thomas AW, Dutta S, Lanar DE, Remarque E, Ross A, Williams TN, Mwambingu G, Lowe B, Conway DJ, Marsh K: Human antibodies to recombinant protein constructs of Plasmodium falciparum Apical Membrane Antigen 1 (AMA1) and their associations with protection from malaria. Vaccine. 2004, 23: 718-728. 10.1016/j.vaccine.2004.05.031.View ArticlePubMedGoogle Scholar
  36. Polley SD, Conway DJ, Cavanagh DR, McBride JS, Lowe BS, Williams TN, Mwangi TW, Marsh K: High levels of serum antibodies to merozoite surface protein 2 of Plasmodium falciparum are associated with reduced risk of clinical malaria in coastal Kenya. Vaccine. 2006, 24: 4233-4246. 10.1016/j.vaccine.2005.06.030.View ArticlePubMedGoogle Scholar
  37. Ayisi JG, Branch OH, Rafi-Janajreh A, van Eijk AM, ter Kuile FO, Rosen DH, Kager PA, Lanar DE, Barbosa A, Kaslow D, Nahlen BL, Lal AA: Does infection with Human Immunodeficiency Virus affect the antibody responses to Plasmodium falciparum antigenic determinants in asymptomatic pregnant women?. J Infect. 2003, 46: 164-172. 10.1053/jinf.2002.1088.View ArticlePubMedGoogle Scholar
  38. Wabwire-Mangen F, Shiff CJ, Vlahov D, Kline R, Serwadda D, Sewankambo NK, Mugerwa RD, Quinn TC: Immunological effects of HIV-1 infection on the humoral response to malaria in an African population. Am J Trop Med Hyg. 1989, 41: 504-511.PubMedGoogle Scholar
  39. Rogerson SJ, Hviid L, Duffy PE, Leke RF, Taylor DW: Malaria in pregnancy: pathogenesis and immunity. Lancet Infect Dis. 2007, 7: 105-117. 10.1016/S1473-3099(07)70022-1.View ArticlePubMedGoogle Scholar
  40. Tebo AE, Kremsner PG, Luty AJ: Fcgamma receptor-mediated phagocytosis of Plasmodium falciparum-infected erythrocytes in vitro. Clin Exp Immunol. 2002, 130: 300-306. 10.1046/j.1365-2249.2002.01972.x.PubMed CentralView ArticlePubMedGoogle Scholar
  41. Mayxay M, Chotivanich K, Pukrittayakamee S, Newton P, Looareesuwan S, White NJ: Contribution of humoral immunity to the therapeutic response in falciparum malaria. Am J Trop Med Hyg. 2001, 65: 918-923.PubMedGoogle Scholar
  42. Juliano JJ, Taylor SM, Meshnick SR: Polymerase chain reaction adjustment in antimalarial trials: molecular malarkey?. J Infect Dis. 2009, 200: 5-7. 10.1086/599379.PubMed CentralView ArticlePubMedGoogle Scholar

Copyright

© Van geertruyden et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.