Abstract
Merozoite surface protein-1 (MSP-1) of malaria parasites has been extensively studied as a malaria vaccine candidate and the antibody response to this protein is an important indicator of protective immunity to malaria. Mangaluru city and its surrounding areas in southwestern India are endemic to malaria with Plasmodium vivax being the most widespread and prevalent species although P. falciparum also frequently infects. However, no information is available on the level of protective immunity in this population. In this regard, a prospective hospital-based study was performed in malarial patients to assess antibody responses against the 19-kDa C-terminal portion of P. vivax and P. falciparum MSP-1 (MSP-119). Serum samples from 51 healthy endemic controls and 267 infected individuals were collected and anti-MSP-119 antibody levels were analyzed by ELISA. The possible association between the antibody responses and morbidity parameters such as malarial anemia and thrombocytopenia was investigated. Among the 267 infected cases, 144 had P. vivax and 123 had P. falciparum infections. Significant levels of anti-MSP-119 antibody were observed both in P. vivax (123/144; 85.4%) and P. falciparum (108/123; 87.9%) infected individuals. In both type of infections, the major antibody isotypes were IgG1 and IgG3. The IgG levels were found to be increased in patients with severe anemia and thrombocytopenia. The antibody levels were also higher in infected individuals who had several previous infections, although antibodies produced during previous infections were short lived. The predominance of cytophilic anti-MSP-119 IgG1 and IgG3 antibodies suggests the possibility of a dual role of Pv MSP-119 and Pf MSP-119 during malarial immunity and pathogenesis.
Keywords: Anti-MSP-119, India, Malaria, Serum, Anemia, Thrombocytopenia
Introduction
Malaria still remains as a serious health problem in several tropical regions. An effective malaria vaccine has long been desired to combat malaria. Hence, identification of antigens eliciting protective antibody responses is of great importance as potential vaccine candidates. Antibody responses against various malaria parasite proteins have been extensively studied for vaccine development (Fowkes et al. 2010). The malarial vaccines can be basically divided into pre‐erythrocytic, blood stage and transmission blocking vaccines (Richards and Beeson 2009). The erythrocytic stages of Plasmodium are responsible for the symptoms and clinical manifestations of malaria, and thus the antigens during these stages are considered as important targets for vaccine development (Ellis et al. 2010).
Merozoite surface protein-1 (MSP-1) is one of the most extensively studied blood stage malarial antigens (Cruz-Gallardo et al. 2013; Holder et al. 1992). MSP-1 is a 190–230 kDa protein expressed on the merozoite surface of Plasmodium species of parasites. MSP-1 is mainly expressed during the trophozoites stage and is proteolytically cleaved into four major fragments, MSP-183, MSP-130, MSP-138 and MSP-142 at the time of schizogony (Blackman et al. 1991; Holder et al. 1992). Subsequently, the MSP-142 fragment is cleaved further into MSP-133 and MSP-119 portions during merozoite invasion of erythrocytes. The MSP-133 is released into the circulation, while MSP-119 remains on the merozoite surface and is carried into the newly invaded erythrocytes. It has been shown that high plasma levels of anti-MSP-1 antibodies are associated with protective immunity against malarial infections (Egan et al. 1996; John et al. 2004; Okech et al. 2004; Stanisic et al. 2009). In vitro studies have shown that anti-MSP-119 antibodies can inhibit parasite growth and in turn confer protection from malaria (Blackman et al. 1990; Egan et al. 1999). Anti-MSP-119 antibodies are also associated with reduced parasitemia and decreased clinical symptoms of P. falciparum (Pf) infections, suggesting that these antibodies have anti-parasitic characteristics (Fernandez-Becerra et al. 2010; Shi et al. 1996). Even though antibody responses against MSP-1 are associated with protection against clinical malaria and disease severity; these associations are known to vary across different endemic regions (Braga et al. 2002; Branch et al. 1998; Egan et al. 1996; Greenhouse et al. 2011; John et al. 2005; Riley et al. 1992).
Mangaluru is a southwestern coastal city in Dakshina Kannada district of Karnataka state in southern India. Over the past two decades, people in this region have been fighting against malaria and is still considered to be endemic in this region (Punnath et al. 2018). Malaria in this region is caused by P.vivax (Pv) and P.falciparum infections, with Pv being the major infecting species (Punnath et al. 2019c). From 1990 onwards, malaria cases in Mangaluru city and its surroundings have exponentially increased and continue to remain at high levels till now (Punnath et al. 2018). This spurge in malarial cases has been due to rapid economic expansion and urbanization which led to import of large numbers of migrant laborers from other endemic areas of the country. These immigrants are primarily employed as laborers in construction of building and road works. The stagnant water at construction sites serves as ideal breeding ground for vector propagation leading to a high vector density and transmission in the region. These laborers are mostly economically underprivileged people and live within construction sites and crowded residential areas, aiding in the continuous spread of malarial infection (Dayanand et al. 2017).
As individuals residing in endemic areas are simultaneously and repeatedly challenged for malarial infections with various multiple antigens, an important step in evaluating a vaccine is to study and understand the naturally acquired antimalarial immune responses and its possible associations with clinical protection in this endemic region. In this study, we assessed the prevalence of naturally acquired antibody responses (and subclasses) against the MSP-119 antigens of Pf-MSP-119 and Pv-MSP-119. Further, we aimed to determine the possible relationship between these antibody responses in patients with the most commonly observed morbidity parameters such as malarial anemia and thrombocytopenia.
Materials and methods
Study site, study design and population
Mangaluru is a coastal city, situated between the waters of Arabian Sea and the hills of Western Ghats in Southern India. This city is the administrative headquarters of Dakshina Kannada district in Karnataka state with a population of 5,00,000 (2011 census). The tropical climate with temperatures ranging between 17 °C during nights to 38 °C during day times and high rainfalls in monsoon season provides favorable climatic conditions for high vector density resulting in increased transmission in Mangaluru and its surroundings. Malaria in Mangaluru is known to be prevalent throughout the year with its peak transmissions during monsoon season (June–September). In 2017, among the 11,312 malarial cases reported in Karnataka state, Mangaluru alone contributed to 8075 (71.4%) cases. Two major species of Plasmodium, namely Pv (6452, 79.9%) and Pf (1623, 20.1%) infections are prevalent in this city and its surrounding regions (Kakkilaya 2017).
In this study, adult patients (≥ 16 years of age), who visited the District Wenlock hospital, for malaria diagnosis and treatment during November 2013 to October 2015, were recruited. Age and gender matched native individuals attending blood bank for blood donations were enrolled into the study as healthy endemic controls (HEC). Wenlock hospital is the major government hospital in this region which provides free diagnosis and treatment. Considering a population of 5,00,000 and a prevalence rate of 20%, the sample size was calculated as per the standard practice, and a total of 318 study participants (comprising of 267 infected patients and 51 HEC) were recruited (Kwenti et al. 2017). The study participants were orally explained about the study objectives and were included in the study after obtaining a signed informed consent from the participants or their accompanying relatives. They were interviewed by attending physicians and trained staff using a structured questionnaire to collect information regarding age, socio-demographic profile, economic status, educational level, occupation, and history of previous infections. The exclusion criteria of this study were children (< 16 years of age), pregnant women, use of any antipyretics prior to diagnosis and individuals testing positive for dengue, typhoid, human immunodeficiency virus (HIV), hepatitis B and C infections.
Malarial diagnosis and sample collection
The malarial diagnosis was by conventional microscopic examination of Giemsa stained peripheral blood smears. Two thick and thin slides were prepared from each study participant and stained with 4% Giemsa. The slides were read independently by two experienced microscopists to ascertain infection, identify Plasmodium species and estimate the parasitemia levels. Upon ascertaining malarial infection, the patients were treated as per the NVBDCP recommendations by the attending physicians. After malarial diagnosis, and prior to giving any antimalarial medication, about 1–2 ml of venous blood samples were drawn into heparin-coated vacutainers for plasma and clot activator tubes for serum preparation and stored at 4 °C for 1 h. As soon as the blood samples were collected, it was analyzed for the levels of hematological parameters, including, red blood cells (RBCs), hemoglobin (Hb), platelet counts, and mean platelet volume (MPV), by automated hematology analyzer (Mind Ray-Biomedical, Shenzhen, China). The serum and plasma were prepared by centrifugation at 1200 × g at room temperature for 3 min, labeled, aliquoted and stored at − 70 °C until further use. The plasma or serum samples were used to screen for comorbid infections such as dengue, typhoid, human immunodeficiency virus (HIV), hepatitis B and C infections (J. Mitra & Co, New Delhi).
Classification of study participants
Based on hemoglobin levels, the study subjects were classified into (1) non-anemic (NA) i.e., Hb levels ≥ 11 g/dL, (2) mild to moderate anemia (MMdA) i.e., Hb levels between 10.9 and 5 g/dL and (3) severe anemic (SA) Hb levels of < 5 g/dL (Punnath et al. 2019a; Punnath et al. 2019d). As per platelet levels, the study subjects were classified into (1)Non-thrombocytopenic (NT)–platelet levels > 1.5 × 103/μl, (2) Mild to moderate thrombocytopenia (MMdT)–platelet levels ranged 1.5–0.5 × 103/μl, and (3) Severe thrombocytopenia (ST)–platelet levels < 0.5 × 103/μl (Punnath et al. 2019a, 2019b).
Seroprevalence of anti-MSP119 antibodies and its subclasses by ELISA
The serum IgG (and subclass) levels against Pf and Pv-MSP-119 proteins were determined by ELISA. Briefly, 96 well micro-titer plates (Nunc Maxisorp) were coated with 50 μl of respective antigen (MR4, Manassas, VA) diluted to a final concentration of 1 μg/ml in 0.05 M carbonate-bicarbonate buffer (pH-9.6) and incubated overnight at 4 °C. The plates were later washed with PBS-Tween (0.05% Tween-20 in 1X PBS) (Sigma Aldrich) for 5 times at room temperature (RT). To reduce non-specific binding, the plates were blocked with 1% bovine serum albumin (BSA) in PBS-Tween (0.05% Tween-20) for 3 h at RT, washed. The diluted serum (1:100 in blocking buffer) samples/negative control were added in duplicates, and incubated overnight at 4 °C. Only patients infected with either Pf or Pv were considered as positive samples in this study. The serum samples of 6 unexposed Europeans who were naïve for malarial infections were used as negative control and blank wells without serum (as background) were used. Following additional wash, the total IgG were detected by incubating at RT for 2 h with a HRP-conjugated mouse anti-human IgG antibody (cat # 9040–05, Southern Biotech, AL) at 1:10,000 dilution, and the subclasses were determined with mouse anti-human IgG subclass antibodies IgG1 (9052–05, Southern Biotech, AL) at 1:2000, IgG2 (9060–05, Southern Biotech, AL) at 1:6000, IgG3 (9210–05, Southern Biotech, AL) at 1:50,000 and IgG4 (9200–05, Southern Biotech, AL) at 1:20,000 dilution. Following incubation, the subclass samples were detected by using goat anti-mouse IgG-HRP (1036–05) at 1:8000 dilutions (Southern Biotech, Birmingham, AL) and incubated at RT for 2 h and washed. The plates were developed by incubating for 15 min at RT with the addition of TMB substrate (Southern Biotech, Birmingham, AL) and the reactions were later stopped by the addition of 25 μl of 2 N H2SO4. The absorbance was read at 450 nm in an iMark Microplate Reader, Bio-Rad, California, USA. The samples were considered to be seropositive when the absorbance value was higher than the average absorbance values plus 5 standard deviations of pooled negative controls. The percentage of seroprevalence was calculated as per the standard procedure (total number of positive samples/total number of samples) × 100.
Statistical analysis
The data was analyzed by using Microsoft excel and GraphPad prism version-6 (GraphPad prism software, Inc., San Diego California, USA). Data was compared and analyzed with respect to age, ethnicity, type of infection, number of previous malarial infections and duration since last infection. Proportion analysis was done using Chi square (χ2) test. The antibody levels between more than two groups were compared using Kruskal Wallis test and differences between the two groups were compared using Mann–Whitney U test with 95% confidence intervals. P-value of < 0.05 was considered to be significant.
Results
A total of 318 study participants were recruited into the study. Of these, 267 were found to be infected, which comprised of 144 (53.9%) patients with Pv and 123 (46.1%) patients with Pf infections. The mean age of study participants was 36 years ranging from 16–65 years. A majority of the infected individuals were males 172 (64.4%) whereas 95 (35.6%) were females (Table 1).
Table 1.
Study population characteristics
Healthy endemic controls | P. vivax | P. falciparum | Total infected | P-value a | |
---|---|---|---|---|---|
Total, n (%) | 51 (100) | 144 (53.9) | 123 (46.1) | 267 (100) | 0.352 |
Gender, n (%) | |||||
Males | 29 (56.9) | 86 (59.7) | 86 (69.9) | 172 (64.4) | 0.236 |
Females | 22 (43.1) | 58 (40.3) | 37 (30.1) | 95 (35.6) | 0.066 |
Age in years (Mean, range) | 37 (17–56) | 36 (17–65) | 34 (16–65) | 36 (16–65) | |
15–25 | 8 (15.7) | 23 (16) | 31 (25.2) | 54 (20.2) | 0.022 |
26–35 | 16 (31.4) | 45 (31.3) | 39 (31.7) | 84 (31.5) | 0.027 |
36–45 | 12 (23.5) | 54 (37.5) | 33 (26.8) | 87 (32.6) | 0.045 |
> 45 | 15 (29.4) | 22 (15.3) | 20 (16.3) | 42 (15.7) | 0.037 |
Data expressed as number of patients (percentage)
aP-value using multinomial proportion test
Among the 267 infected people 58 (21.7%) were natives (long-time residents) of this area and 209 (78.3%) were non-native immigrants. The educational status among the infected individuals was very low as 166 (62.2%) patients had no formal education and the remaining 101 (37.8%) had primary to college level education. The malarial infections were seen primarily among individuals in construction of buildings or roads and among security guards (160, 59.9%). The remaining 12 (4.5%) were working in hotels, 62 (23.2%) were housewives, 15 were students (5.6%) and 18 (6.7%) were into other forms of occupations such as salesmen, businessmen etc. Among the 267 study participants, 244 (91.4%) patients with a mean of 2 (1–6) times reported to have prior malarial infections. Among the infected, 23 (8.6%) were experiencing malarial infections for the first time, 62 (23.2%) experienced malaria at least once, while 109 (40.8%) had 2–3 malarial infections and 73 (27.4%) had more than or equal to 4 times infections. Among the 244 patients with prior malarial infections, 144 (59%) patients were reported to have suffered malarial infections within last 6 months, whereas 100 (41%) had experienced a prior infection more than 6 months before the current infections. Majorly, 87% of the study participants received antimalarial treatment and claimed to have completed the course for their last malarial episode (Table 2).
Table 2.
Socio-demographics of the study population
Healthy endemic controls (n = 51) | P. vivax (n = 144) | P. falciparum (n = 123) | Total infected (n = 267) | P-value a | |
---|---|---|---|---|---|
Days before seeking treatment | |||||
1 | 0 (0) | 12 (8.3) | 8 (6.5) | 20 (7.5) | 0.577 |
2 | 0 (0) | 26 (18.1) | 37 (30.1) | 63 (23.6) | 0.022 |
3 | 0 (0) | 45 (31.3) | 31 (25.2) | 76 (28.5) | 0.272 |
4 | 0 (0) | 36 (25.0) | 23 (18.7) | 59 (22.0) | 0.217 |
5 | 0 (0) | 15 (10.4) | 14 (11.4) | 29 (10.9) | 0.794 |
> 5 | 0 (0) | 6 (4.2) | 7 (5.7) | 13 (4.9) | 0.571 |
Unknown | 0 (0) | 4 (2.8) | 3 (2.4) | 7 (2.6) | 0.839 |
Seasonality | |||||
Rainy (June–September) | 35 (68.6) | 118 (81.9) | 90 (73.2) | 208 (77.9) | 0.052 |
Dry (October–May) | 16 (31.4) | 26 (18.1) | 33 (26.8) | 59 (22.1) | 0.052 |
Residence, n (%) | |||||
Native | 51 (100) | 41 (28.5) | 17 (13.8) | 58 (21.7) | 0.082 |
Migrant | 0 (0) | 103 (71.5) | 106 (86.2) | 209 (78.3) | 0 |
Education, n (%) | |||||
No formal education | 10 (19.6) | 81 (56.3) | 85 (69.1) | 166 (62.2) | 0.041 |
Primary | 18 (35.3) | 32 (22.2) | 29 (23.6) | 61 (22.8) | 0.062 |
Secondary | 15 (29.4) | 22 (15.3) | 4 (3.3) | 26 (9.8) | 0.024 |
Degree | 8 (15.7) | 9 (6.3) | 5 (4.1) | 14 (5.2) | 0.082 |
Occupation, n (%) | |||||
Construction worker | 7 (13.7) | 81 (56.3) | 79 (64.2) | 160 (59.9) | 0.051 |
Hotel worker | 9 (17.6) | 5 (3.5) | 7 (5.7) | 12 (4.5) | 0 |
Housewife | 18 (35.3) | 42 (29.2) | 20 (16.3) | 62 (23.3) | 0.003 |
Student | 4 (7.8) | 7 (4.9) | 8 (6.5) | 15 (5.6) | 0.041 |
Others | 13 (25.5) | 9 (6.3) | 9 (7.3) | 18 (6.7) | 0.521 |
Previous infection, n (%) | |||||
No previous infection | 29 (56.9) | 14 (9.7) | 9 (7.3) | 23 (8.6) | 0.024 |
Once | 17 (33.3) | 36 (25) | 26 (21.1) | 62 (23.2) | 0.521 |
2–3 times | 3 (5.9) | 64 (44.4) | 45 (36.6) | 109 (40.8) | 0.324 |
≥ 4 times | 2 (3.9) | 30 (20.8) | 43 (35) | 73 (27.4) | 0.04 |
Last malarial episode, n (%) | |||||
≤ 6 months | 5 (9.8) | 84 (58.3) | 56 (45.5) | 144 (59.0) | 0.201 |
≥ 6 months | 46 (90.2) | 46 (31.9) | 58 (47.2) | 100 (41.0) | 0.352 |
Data expressed as number of patients (percentage) and were calculated based on total number of study participants in each group
ap value using multinomial proportion test
Hematological changes
The mean parasitemia (%) in patients with P. falciparum (1.0 ± 1.3) was higher than P. vivax (0.5 ± 0.6) infections, indicating a higher parasitic burden during Pf infections. In comparison to HEC (5.2 × 103/µl), the RBC counts were found to be significantly decreased,especially during Pf infections (4.2 × 103/µl), (p = 0.0012). In comparison to HEC, the hemoglobin levels (12.8 g/dL) were found to be decreased, particularly in patients with Pf (9.4 g/dL) infections (p = 0.0032) (Table 3). An inverse correlation between increased parasitemia and decreased hemoglobin levels was observed across all patients regardless of infected parasite species; Pv (r = − 0.412, p = < 0.00001) and Pf (r = − 0.154, p = < 0.0001) infections. The platelet levels, in comparison to HEC group (2.0 × 104/μl), were found to be significantly decreased in infected groups, especially in patients with Pf infections (0.8 × 104/μl) (p = 0.008) (Table 3). A negative correlation between decreased platelet levels and increased parasitic burden was observed during Pv (r = − 0.187, p = 0.0001) and Pf (r = − 0.141, p = 0.0032) infections. However, no significant association (p > 0.05) was observed between the status of malarial infection and cut off values of RBC counts (4–6.0 × 103/μl), hemoglobin (males > 18 and females, > 16 g/dl), and platelets (1–4.0 × 103/μl). There was no statistically significant influence of parasitemia, age and gender on the hematological parameters analyzed (p > 0.05).
Table 3.
Changes in hematological parameters during with P. vivax and P. falciparum infections
Parameter | Normal range | Healthy endemic controls (n = 51) | P. vivax (n = 144) | P. falciparum (n = 123) | P valuea |
---|---|---|---|---|---|
Parasitemia (%) | – | 0 | 0.5 ± 0.6 | 1.0 ± 1.3 | < 0.0001 |
Red Blood cells | 4.0–6.0 X 103/µl | 5.2 ± 0.5 | 4.6 ± 1.1 | 4.2 ± 1.0 | 0.0012 |
Hemoglobin | Males, 14–18; Females, 12–16 g/dL | 12.8 ± 1.5 | 10.8 ± 3.5 | 9.4 ± 3.2 | 0.032 |
Platelets | 1–4 × 103/μl | 2.0 ± 0.5 | 1.1 ± 0.6 | 0.8 ± 0.5 | 0.008 |
MPV | 6.5–12.0 fL | 9.4 ± 0.8 | 10.1 ± 2.1 | 9.6 ± 1.4 | 0.412 |
Data expressed as mean ± standard deviation and were analyzed using Kruskal–Wallis test with 95% confidence intervals
aP value of < 0.05 was considered to be significant
Seroprevalence of anti-MSP-119 antibodies in the study subjects
In this study, in comparison to HEC, the Pv and Pf infected patients were found to possess significantly higher levels of circulating antibodies against their respective recombinant MSP-119 (i.e., Pv-MSP-119 and Pf-MSP-119) antigens (p = < 0.001). The seroprevalence of antibodies against Pv-MSP-119 was 3.9%, 85.4%, 4.1% in HEC and in patients with Pv and Pf infections, respectively (Fig. 1a). Similarly, the prevalence of antibodies against Pf-MSP-119 was 1.9%, 3.5%, 87.9% in HEC and in patients during Pv and Pf infections (Fig. 1c). As expected, the Pv patients had significantly higher antibody levels against recombinant Pv-MSP-119 than Pf infections and vice versa (p = < 0.001) (Fig. 1b, d). In this study, only 5 (9.8%) of HEC experienced prior malarial infections, and only negligible proportion of patients had (2/51) had very low detectable antibody levels against anti-Pv-MSP-119 and (1/51) had Pf-MSP-119 antibodies (p = 0.254). Even though, the presence of cross reactive antibodies against the recombinant MSP-119 antigens was detected, there was no significant difference in proportion of cross reactive antibodies in Pv patients against Pf-MSP-119 and Pf patients against Pv-MSP-119 [(5/144) 3.5% vs (5/123) 4.1%, p = 0.7980] (Fig. 1).
Fig. 1.
Antibody levels against the recombinant Pv-MSP-119 and Pf-MSP-119: The percent seropositivity in healthy endemic controls (HEC) and among P. vivax, P. falciparum patients was measured against a Pv-MSP-119 and c Pf-MSP-119. The serum IgG antibody levels against b Pv-MSP-119 and d Pf-MSP-119 was measured in HEC and in patients with P. vivax, P. falciparum infections by ELISA. Data is shown as median ± interquartile range and were analyzed by Kruskal Wallis test for multiple comparisons. ns indicates non-significant data,***,**** indicate significance of p ≤ 0.001 and p ≤ 0.0001, respectively
Seroprevalence of anti-MSP-119 specific IgG subclasses
The IgG subclass profile against Pv-MSP-119 and Pf-MSP-119 were determined and analyzed. In seropositive samples for total IgG, Pv infected patients had significantly higher levels of IgG1 (72.2%) followed by IgG3 (58.3%), IgG4 (53.5%) and IgG2 (45.8%). A similar trend of subclasses of antibodies against Pf-MSP-119 was found in Pf infected patients i.e., IgG1 (75.6%), IgG3 (71.2%), IgG4 (67.5%) and IgG2 (45.5%). (Table 4, Fig. 2).
Table 4.
Percentage of seropositivity and antibody levels against recombinant Pv-MSP-119 and Pf-MSP-119 antigens in patients with P. vivax and P. falciparum infections
Recombinant antigen | Infecting species | IgG class | Seropositivity % | Mean OD ± SD |
---|---|---|---|---|
Pv-MSP-119 | P. vivax | IgG | 85.4 | 2.75 ± 1.8 |
IgG1 | 72.2 | 1.85 ± 1.5 | ||
IgG2 | 45.8 | 0.46 ± 0.5 | ||
IgG3 | 58.3 | 1.19 ± 1.2 | ||
IgG4 | 53.5 | 0.83 ± 0.9 | ||
Pf-MSP-119 | P. falciparum | IgG | 87.9 | 3.08 ± 2.5 |
IgG1 | 75.6 | 2.52 ± 1.9 | ||
IgG2 | 45.5 | 0.46 ± 0.5 | ||
IgG3 | 71.2 | 1.84 ± 1.4 | ||
IgG4 | 67.5 | 1.36 ± 1.1 |
Data expressed as mean ± standard deviation and were analyzed using Kruskal Wallis test with 95% confidence intervals
Fig. 2.
Seroprevalence of MSP-119 specific IgG subclasses: The seroprevalence (seropositivity %) proportion of various anti-MSP-119 IgG subclasses were measured by ELISA in a P. vivax patients against Pv-MSP-119 and in b P. falciparum patients against Pf-MSP-119. The levels of IgG subclass (OD ratio) were measured c against Pv-MSP-119 in P. vivax patients and d against Pf-MSP-119 in P. falciparum patients by ELISA. Data is represented as median ± interquartile range and were analyzed by nonparametric Kruskal–Wallis test for multiple comparisons.*, **, *** and **** indicate significance at p ≤ 0.05, p ≤ 0.01, p ≤ 0.001 and p ≤ 0.0001, respectively
Influence of number of previous infections and duration since last infection on anti-MSP-119 antibody levels
Protective immunity gradually develops with number of previous exposures and the duration since previous infection. In this study, 244 (91.4%) recruited participants with a mean of 2 (ranged 1–6) times had experienced previous malaria infections. A significant increase in anti-Pv-MSP-119 and anti-Pf-MSP-119 antibody levels was observed with increase in number of previous malarial episodes in Pv and Pf patients (Fig. 3a, b). The patients with previous exposures were classified into 2 groups; patients with previous exposure of ≤ 6 months and > 6 months. The serum antibody levels against their respective antigens were significantly increased in both Pv and Pf patients with previous malarial infection of less than 6 months, in comparison to the patients with more than 6 months of previous infection (p = < 0.0001) (Fig. 3c, d). This suggests that antibody responses observed against the respective malarial antigens, though increased with increase in number of previous infections, but were found to be only short-lived.
Fig. 3.
Influence of number of previous infections and duration since last infection on levels of anti-MSP-119 antibody: IgG levels were measured across number of times of previous exposure, 1 prior infection (open white box), 2–3 times infected (grey closed box), ≥ 4 times infection (closed black box) against Pv-MSP-119 in patients with P. vivax (a) and Pf-MSP-119 in patients with P. falciparum (b) infections. Antibody levels are indicated in patients with previous exposure of < 6 months (open box) and > 6 months (closed grey box) against Pv-MSP-119 in patients with P. vivax (c) and Pf-MSP-119 in patients with P. falciparum (d) infections. Data shown as median ± interquartile range were analyzed by one-way nonparametric Mann–Whitney test for comparison between two groups and Kruskal–Wallis test for multiple comparisons. * and **** indicate significance at p ≤ 0.05 and p ≤ 0.0001, respectively
Relationship between IgG responses on morbidity parameters
Anemia and thrombocytopenia are the two most common complications observed during malaria. To determine the possible association with morbidity parameters, the levels of anti-MSP-119 antibodies were assessed in patients with malarial anemia and thrombocytopenia. The levels of anti-MSP-119 antibodies were found to significantly increased with an increase in anemic severity during Pv and Pf infections. In our study, 78 (54.2%) patients with Pv were non-anemia (NA), 49 (34%) had a mild to moderate anemia (MMdA) and 17 (11.8%) suffered from severe anemia (SA). A total of 62 (50.4%) patients with Pf were NA, 47 (38.2%) had MMdA and 14 (11.4%) suffered from SA. Upon comparison of mean OD ratio’s ± SD of anti-MSP-119 antibody levels, across groups of varying intensity of anemic severity, the anti-Pv-MSP-119 antibody levels during P.vivax patients in NA group (2.91 ± 1.8) was increased in MMdA (3.03 ± 1.7, p = 0.8891) and were found to be further significantly increased in patients with SA (4.22 ± 0.8, p = 0.0038) (Fig. 4a). A similar trend was observed in anti-Pf-MSP-119 antibody levels of P.falciparum infected patients in NA group (2.24 ± 1.8) which was significantly higher in MMdA (3.37 ± 2.5, p = 0.0218) and were further increased in SA (4.90 ± 1.8, p = 0.0216) patients (Fig. 4b).
Fig. 4.
IgG levels in patients with anemia and thrombocytopenia during malarial infections: The levels of anti-MSP-119 antibodies in anemic patients [non anemic-NA (open boxes), Mild to moderate anemia–MMdA (closed grey box), and severe anemic–SA (closed black box)] in P. vivax (a) and P. falciparum (b); IgG levels in thrombocytopenia patients [non thrombocytopenia-NT (open boxes), Mild to moderate thrombocytopenia–MMdT (closed grey box), and severe thrombocytopenia–ST (closed black box)] in P. vivax (c) and P. falciparum (d) infections are indicated. Data shown as median ± interquartile range were analyzed by one-way nonparametric Mann–Whitney test for comparison between two groups and Kruskal–Wallis test for multiple comparisons. ns indicates non-significant data, p ≥ 0.05, *, ** and *** indicate significance at p ≤ 0.05, p ≤ 0.01 and p ≤ 0.001, respectively
Thrombocytopenia is most frequently observed during malarial infections. Among the 267 infected, a total of 26 (18.1%) patients with Pv infections were non-thrombocytopenia (NT), 81 (56.3%) had a mild to moderate degree of thrombocytopenia (MMdT) and 37 (25.7%) suffered from severe thrombocytopenia (ST). In patients with Pf infections, 19 (15.4%) were NT, 74 (60.2%) had MMdT and 30 (24.4%) had ST. A significant increase in anti-Pv-MSP-119 and Pf-MSP-119 antibody levels were found with an increase in thrombocytopenic intensity in patients with Pv and Pf infections. Upon comparison in Pv patients with NT (2.59 ± 1.9) groups, the antibody levels did not increase significantly in MMdT (2.92 ± 1.8, p = 0.7907) but were found to be significantly higher in patients with ST (4.19 ± 1.3, p = 0.0074) (Fig. 4c). A similar trend was observed in Pf patients with NT (2.11 ± 2.1) and MMdT (3.37 ± 2.6, p = 0.0521) had significantly higher antibody levels in ST (5.03 ± 2.2, p = 0.0002) patients (Fig. 4d).
Discussion
Acquired immune responses against malarial antigens are known to play an important role in protection against malaria. Among the various antigens studied so far, merozoite surface protein (MSP-119) is one of the highly immunogenic malarial antigen and a promising malaria vaccine candidate. Several studies in diverse endemic regions have demonstrated high prevalence of antibodies against Pv-MSP-1 and Pf-MSP-1 antigens (Ak et al. 1998; Egan et al. 1995; Olotu et al. 2012; Park et al. 2001; Soares et al. 1999b, 1999c; Torres et al. 2008; Valderrama-Aguirre et al. 2005; Wilson et al. 2011). In this study, we aimed to investigate the seroprevalence of antibodies against the recombinant Pv-MSP-119 and Pf-MSP-119 during Pv and Pf infections in the endemic setting of Mangaluru. We also tried to understand whether these antibodies confer a protective role in patients with common morbidity parameters such as malarial anemia and thrombocytopenia (Gupta et al. 2013; Quintero et al. 2011).
Our data is in agreement with reports stating that Pv-MSP-119 and Pf-MSP-119 are highly immunogenic and elicit a rapid humoral response especially during acute infections (Park et al. 2001; Yeom et al. 2008; Zeyrek et al. 2008). In this study, we observed over 80% patients to be seropositive against recombinant Pv-MSP-119 (85.4%) and Pf-MSP-119 (87.9%) antigens which is in agreement with earlier studies (Soe et al. 2004; Wang et al. 2016). Such a strong induction of antibody responses could be due to priming the existing antigen specific memory B-cells from previous malaria exposures. Studies suggest that even in areas of low transmission and in the absence of reinfection, the memory B-cell responses to malarial antigens is maintained over long time, resulting in long lasting circulatory antibodies (Akpogheneta et al. 2010; Min et al. 2017; Ndungu et al. 2013; Wipasa et al. 2010). In this study, we found that even though levels of anti-MSP-119 antibodies were found to be increased with increase in number of prior exposures, the antibody responses were found to decrease in individuals with over 6 months of previous exposure and hence the antibody responses against these MSP-119 antigens in this endemic setting seems to be only short lived.
In Mangaluru, both Pf and Pv infections coexist, with Pv (~ 80%) being the most prevalent infecting species (Dayanand et al. 2017; Punnath et al. 2019c). We observed that 3.5% of Pv patients had cross reactive antibodies against Pf-MSP119 and 4.1% of Pf patients had antibodies against Pv-MSP-119. This cross reactivity of antibodies could be attributed to ~ 50% amino acid homology of MSP-119 antigen fragments between the two Plasmodium species (Chuangchaiya et al. 2010; Nagao et al. 2008; Woodberry et al. 2008). This sequence homology of the two antigens leading to B cells with common B cell epitopes results in production of cross reactive antibodies. The presence of different Plasmodium variants may also lead to variant specific antibody (Lourembam and Baruah 2012; Putaporntip et al. 2002; Shi et al. 1996; Soares et al. 1999a).
The antibody subclasses against malaria antigens mediate different immune effector functions (Nimmerjahn and Ravetch 2008; Stanisic et al. 2009). The prevalence of antibody subclass also varies in different endemic settings. The IgG class switching is not only influenced by the antigenic structure but also due to previous exposures and host factors (Ak et al. 1998; Branch et al. 2000; Mehrizi et al. 2011; Metzger et al. 2003; Taylor et al. 1998). In agreement with previous studies in various endemic regions, we also observed a significant induction of IgG1 and IgG3 antibodies, with a similar trend of subclass prevalence against recombinant Pv-MSP-119 and Pf-MSP-119 antigens (Egan et al. 1996; Mehrizi et al. 2011; Morais et al. 2005; Stanisic et al. 2009; Tongren et al. 2006). Most IgG responders had antibodies belonging to subclass IgG1 and IgG3 followed by IgG4 and IgG2. Being the major type of antibodies produced against the merozoite antigens, IgG1 and IgG3 (cytophilic subclasses) are expected to contribute significantly in opsonization and complement-mediated lysis of merozoites (Nebie et al. 2008; Polley et al. 2006; Rzepczyk et al. 1997; Tongren et al. 2006). On the contrary, IgG2 and IgG4 (non-cytophilic subclasses), may compete with cytophilic antibodies for antigen recognition (Groux and Gysin 1990; Roussilhon et al. 2007; Stanisic et al. 2009). The high prevalence of IgG4 (> 50%) subclass antibodies in this study, likely competes with cytophilic antibodies for antigen recognition and may therefore block cytotoxicity mediated by antibody-activated effector cells, and in turn with increased susceptibility to malaria (Aalberse et al. 2009; Aucan et al. 2000).
Antibodies produced in response to malaria are expected to confer protection from progression of mild malaria into its severe forms. Our next step was to investigate if the antibodies against the well-known MSP-119 proteins in Pv and Pf patients could possibly contribute in protection against commonly observed morbidity parameters such as malarial anemia and thrombocytopenia. It is well established that Plasmodium infections are known to result in anemia (Menendez et al. 2000; Punnath et al. 2019d). Milder forms of anemia can result in considerable morbidity especially in younger children and pregnant women, whereas SA is of main concern due to its high mortality rates, mostly in children below 2 years of age (Fernandes et al. 2008; Muhangi et al. 2007; Punnath et al. 2019d). In spite of decades of research studies, the mechanism of anemia is not completely understood and is not only credited to hemoglobin digestion and red blood cell destruction, but also due to increased splenic clearance, oxidative stress, bone marrow changes and sequestration in various organs (Castro-Gomes et al. 2014; Punnath et al. 2019d). It was observed that the administration of purified IgG from immune adults to malaria patients confers protection against severe malaria by reducing parasitemia (Sabchareon et al. 1991). Studies in children with SA revealed that immune complex (IC) may contribute an important role in erythrocyte destruction leading to development of malarial anemia (Mibei et al. 2005). Also, experiments with Pf showed that tagging the surface of uninfected RBCs and erythroid precursor cells in bone marrow by parasite proteins may elicit a specific antibody response, triggering phagocytosis and complement activation and inducing the clearance of these cells, eventually leading to anemia (Awah et al. 2011, 2009; Layez et al. 2005; Sterkers et al. 2007). It is clearly evident from the results of this study, that the circulatory levels of anti-MSP-119 antibodies were higher in patients with increased anemic severity during Pv and Pf infections. We predict that these anti-MSP-119 antibodies and other non-specific antibodies can have affinity to the MSP-119 antigens leading to formation of IC’s on RBC’s surface (both infected RBC’s and uninfected RBC’s). Such changes on the surface of RBCs can lead to activation of complement system leading to increased phagocytosis by monocytes and macrophages leading to increased RBC destruction and an aggravated anemic severity (Awah et al. 2011, 2009; Facer et al. 1979; Sterkers et al. 2007).
Thrombocytopenia is one of the most frequent hematological complications observed during malaria infections. Though commonly found, the mechanisms leading to this complication and its subsequent effects on disease progression are poorly defined (Lacerda et al. 2011; Punnath et al. 2019b). Thrombocytopenia seems to occur mostly by peripheral destruction, bone marrow alterations, excessive removal of platelets by splenic pooling, platelet consumption by the process of disseminated intravascular coagulopathy (DIC), pseudo thrombocytopenia due to clumping of P. falciparum infected erythrocytes, oxidative stress and antibody mediated platelet destruction (Punnath et al. 2019b). Observations in animal studies with experimental model of Plasmodium berghei, indicate a potential role of platelet associated IgG and CD4-T cells in platelet destruction (Grau et al. 1988). Among various mechanisms, thrombocytopenia is also likely to be associated with binding of parasitic antigens on platelet surface. This leads to binding of circulatory antibodies to the malarial antigens resulting in the formation of immune complexes (Kelton et al. 1983; Lacerda et al. 2011). The increased immune complexes can lead to activation of complement system and increased phagocytic clearance by monocytes and macrophages (Grynberg et al. 2007; Lacerda et al. 2011; S 2009). As observed in this study, both anti-Pv-MSP-119 and anti-Pf-MSP-119 antibody levels were found to be higher in patients with increase in severity of thrombocytopenia. We speculate that the binding of host anti-MSP-119 circulatory antibodies to the antigens on the platelet surfaces results in increased platelet destruction and eventually thrombocytopenia. Based on the observations in this study, further in vitro biological assays are required, to gain a better understanding of the immunological aspects, and therefore eventually aid in design and development of future interventions especially in patients with severe malarial complications.
Limitations
Although, the study is extensive, there are some limitations such as: (1) only adults were recruited into the study excluding children and pregnant women (2) The malarial diagnosis was performed by microscopic examination of Giemsa-stained blood smears and no molecular methods such as PCR were used.
Conclusion
In this study, we observed that people with ongoing malarial infections had significantly higher antibody levels against MSP-119 antigens. The IgG levels also increased with number of repeated infections. However, the persistence of circulatory levels of antibodies was only short lived. Among the 4 IgG subclasses, cryophilic antibodies IgG1 and IgG3 were predominant; the induction of IgG4 antibodies indicates that the overall antibody responses may not play a protective role. The increased levels of antibodies in severe anemic and thrombocytopenic patients suggest that anti-MSP-119 antibodies may play a potential role in pathogenesis of malarial anemia and thrombocytopenia. In general, this study also suggests that the seroprevalence analysis can be used as a tool to understand the changing epidemiology patterns across various malaria hotspots and in particular Mangaluru and its surroundings.
Acknowledgements
The authors thank the study participants for their consent to participate in the study. We thank MR4 for providing us the recombinant antigens used in ELISA; MRA 53-Plasmodium falciparum yP30P2 PfMSP-119 (Q-NG)FVO/VK1, deposited by DC Kaslow, obtained through the MR4 and MRA 47-Plasmodium vivax yPv 200 MSP119 2905/6 deposited by DC Kaslow as part of the BEI Resources Repository, NIAID, NIH Manassas, VA. We thank Dr. Rajeshwari Devi, District medical officer and superintendent of District Wenlock Hospital for her support and guidance, Dr. Arun Kumar, District Vector Borne Disease Control Programme officer, Dakshina Kannada, for his support and the Mangalore City Corporation Health officials for their kind help to conduct the study. This work was supported by the Grant D43 TW008268 from the Fogarty International Center of the National Institutes of Health, USA, to DCG, under the Global Infectious Diseases Program.
Author contributions
D.C.G, R.N.A, K.P and S.K.G conceptualized the research concept and designed the experiments. S.K.G, S.B.K and S.N.K coordinated the study. K.P, K.K.D and V.N.C collected samples and processed, performed the experiments. K.P and V.M analysed the data. K.P, R.N.A, S.B.K, and D.C.G wrote the manuscript. All the authors proofread and corrected the manuscript.
Funding
This work was supported by the Grant D43 TW008268 from the Fogarty International Center of the National Institutes of Health, USA, to DCG under the Global Infectious Diseases Program. The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.
Data Availability
The data used in this study is archived in corresponding authors university and available from the corresponding author upon reasonable request.
Compliance with ethical standards
Conflict of interest
All authors declare that they have no conflict of interest.
Ethics of approval
The study protocol was approved by the ethical committee of Kuvempu University, Shivamogga, Karnataka state; the central ethics committee of NITTE University, Mangaluru, and the Institutional Review Board of Pennsylvania State University College of Medicine, Hershey, PA, USA.
Consent to participate
All study participants were enrolled only after obtaining signed informed consent.
Footnotes
Publisher's Note
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Contributor Information
Kishore Punnath, Email: kishoresbioworld@gmail.com.
Kiran K. Dayanand, Email: kirankumar91284@gmail.com
Vishal Midya, Email: vmidya@pennstatehealth.psu.edu.
Valleesha N. Chandrashekar, Email: valleesha.nc@gmail.com
Rajeshwara N. Achur, Email: rajachur@gmail.com
Srinivas B. Kakkilaya, Email: skakkilaya@gmail.com
Susanta K. Ghosh, Email: ghoshnimr@gmail.com
Suchetha N. Kumari, Email: kumari.suchetha@gmail.com
D. Channe Gowda, Email: gowda@psu.edu.
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Associated Data
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Data Availability Statement
The data used in this study is archived in corresponding authors university and available from the corresponding author upon reasonable request.