Epidemiology of Plasmodium infections in Flores Island, Indonesia using real-time PCR

  • Maria MM Kaisar1, 2,

    Affiliated with

    • Taniawati Supali1,

      Affiliated with

      • Aprilianto E Wiria1, 2,

        Affiliated with

        • Firdaus Hamid1, 3,

          Affiliated with

          • Linda J Wammes2,

            Affiliated with

            • Erliyani Sartono2,

              Affiliated with

              • Adrian JF Luty4,

                Affiliated with

                • Eric AT Brienen2,

                  Affiliated with

                  • Maria Yazdanbakhsh2,

                    Affiliated with

                    • Lisette van Lieshout2Email author and

                      Affiliated with

                      • Jaco J Verweij2, 5

                        Affiliated with

                        Malaria Journal201312:169

                        DOI: 10.1186/1475-2875-12-169

                        Received: 29 January 2013

                        Accepted: 16 May 2013

                        Published: 24 May 2013

                        Abstract

                        Background

                        DNA-based diagnostic methods have been shown to be highly sensitive and specific for the detection of malaria. An 18S-rRNA-based, real-time polymerase chain reaction (PCR) was used to determine the prevalence and intensity of Plasmodium infections on Flores Island, Indonesia.

                        Methods

                        Microscopy and real-time multiplex PCR for the detection of Plasmodium species was performed on blood samples collected in a population-based study in Nangapanda Flores Island, Indonesia.

                        Results

                        A total 1,509 blood samples were analysed. Real-time PCR revealed prevalence for Plasmodium falciparum, Plasmodium vivax, and Plasmodium malariae to be 14.5%, 13.2%, and 1.9% respectively. Sub-microscopic parasitaemia were found in more than 80% of all positive cases. The prevalence of P. falciparum and P. vivax was significantly higher in subjects younger than 20 years (p ≤ 0.01). In the present study, among non-symptomatic healthy individuals, anaemia was strongly correlated with the prevalence and load of P. falciparum infections (p ≤ 0.01; p = 0.02) and with the load of P. vivax infections (p = 0.01) as detected with real-time PCR. Subjects with AB blood group tend to have a higher risk of being infected with P. falciparum and P. vivax when compared to other blood groups.

                        Conclusion

                        The present study has shown that real-time PCR provides more insight in the epidemiology of Plasmodium infections and can be used as a monitoring tool in the battle against malaria. The unsurpassed sensitivity of real-time PCR reveals that sub microscopic infections are common in this area, which are likely to play an important role in transmission and control.

                        Trial registration

                        Trials number ISRCTN83830814.

                        Keywords

                        Malaria Plasmodium falciparum Plasmodium vivax Plasmodium malariae Real-time PCR Diagnosis Flores

                        Background

                        In Indonesia, 1.25 to 2.5 million probable malaria cases with 45 to 50% being cases of Plasmodium falciparum, nearly 350,000 confirmed malaria cases, and around 500 confirmed malaria deaths, are reported every year [1]. Based on the Annual Parasite Incidence data the highest risk of acquiring malaria is in the eastern part of Indonesia. In 2008, a mass blood survey in more than 200,000 subjects performed by the Basic Health Research Institute of East Nusa Tenggara showed 15% of the blood slides to be positive for malaria parasites [2].

                        Although microscopic diagnosis of malaria is easy to perform, consumable costs are low, and it allows quantification and species identification [3, 4], in many malaria-endemic areas microscopy of thin and thick smears of peripheral blood remains challenging. It is time consuming and needs well-trained and dedicated personnel, and even then misdiagnosis in cases of low parasitaemia and incorrect species identification occurs frequently [57].

                        Alternatively, DNA-based detection methods have been developed targeting different Plasmodium genes showing high sensitivity and specificity. The 18S ribosomal RNA gene has been used successfully as a target for malaria diagnosis in conventional polymerase chain reaction (PCR) and real-time PCR in several studies [811]. These assays allow sensitive far below the detection limit of microscopy and specific detection and differentiation of the different Plasmodium species [1214]. Moreover, real-time PCR is not only able to provide information on parasite species but it also provides quantitative data on the parasite load.

                        In the present study, a multiplex real-time PCR was used to determine the epidemiological profile of Plasmodium infections in a malaria-endemic area in Flores, Indonesia.

                        Methods

                        This study was approved by the ethical committee from Faculty of Medicine, University of Indonesia in ref: 194/PT02.FK/ETIK/2006 and has been filed by ethical committee of the Leiden University Medical Centre. The present cross-sectional observational study is part of a larger study on co-infection between malaria and soil-transmitted helminths in Ende district [15], NTT which is listed in SPIN-KNAW projects [16].

                        Study area

                        Nangapanda village, Ende district, Flores Island, Indonesia (Figure 1) is a semi-urban village with an estimated population of 22,000 living in 18 sub villages. It is situated near the Equator, characterized by a high uniform temperature in range of 23 to 33.5°C and humidity is 86 to 95%. Average yearly rainfall is 1.822 mm with around 82 rainy days, especially during November to April and the highest in December until March. The local Puskesmas (primary health centre) is responsible for providing health services to people living in the 18 sub villages. Based on the results of a preliminary survey in 2005–2006, three sub villages: Ndeturea (sub village 1), Ndorurea 1 (sub village 2) and Ndorurea (sub village 3) have a high prevalence of malaria cases as reported by the Puskesmas. These three sub villages were enrolled in this study. The purpose of the study was explained and informed consent was requested. Informed consent for children was obtained from their parents or guardians. The name, sex, age, and home address of each participant was recorded by the research team.
                        http://static-content.springer.com/image/art%3A10.1186%2F1475-2875-12-169/MediaObjects/12936_2013_2791_Fig1_HTML.jpg
                        Figure 1

                        Location of three sub villages enrolled in the study where each black dot represents the house hold.

                        Blood collection

                        Venous blood samples were collected during dry season between June and August 2008 from participants above four years of age in Ndeturea, Ndorurea 1 and Ndorurea. Blood samples (6 ml) were collected in tubes containing sodium heparin as anticoagulant. Eight microlitres and two microlitres from each sample was used to prepare a thick and thin blood smear, respectively; 200 μl was stored at −20°C for real-time PCR and the remainder was used to test a range of immunological markers as part of a larger study [15, 17]. The samples were transported to the central laboratory in Jakarta and stored at −80°C.

                        Blood parameters and temperature measurement

                        Haemoglobin level was measured using a blood analyzer system (COULTER® Ac-T diff2™, Beckman Coulter, USA). Haemoglobin levels were divided into normal and anaemic according to criteria used by the Indonesian General Hospital, Cipto Mangunkusumo. The normal values for children (one month to six years), girls (seven to 13 years), boys (seven to 13 years), women (>13 years) and men (>13 years) are haemoglobin 11.5-15.5 g/dl, 12–16 g/dl, 13–16 g/dl, 12–14 g/dl, and 13–16 g/dl, respectively. Cases with haemoglobin levels below these normal values were categorized as anaemic.

                        The ABO blood typing was performed using monoclonal grouping kit (Fortress Diagnostics Ltd, UK).

                        The oral temperature was measured using a digital thermometer (General Care, China) and categorized in three groups: low, normal, and high (fever) for temperature level: <36.1°C, 36.1-37.5°C, and >37.5°C, respectively [18].

                        Microscopic examination

                        Duplo slides of both thin and thick smears for malaria diagnosis were made on the same day of blood collection and Giemsa-stained within 48 hours. The guidelines of the WHO Secretariat for the Coordination of Malaria Training in Asia and the Pacific were used as standard operating procedure. The slides were stored in slide boxes at room temperature. Thin and thick smears were examined using 1,000× oil immersion light microscopy for the presence of malaria parasites [19, 20]. Microscopic examination of the slides was performed blinded by experienced technicians and approximately 10% of the slides were cross-checked randomly for quality control by a second experienced microscopist at the Department of Parasitology, Medical Faculty, University of Indonesia.

                        DNA extraction

                        Parasite DNA was isolated from 200 μl blood using QIAamp DNA-easy 96-well plates according to the manufacturer’s recommendations (Qiagen, Hilden, Germany). In each sample, 103 PFU/ml phocin herpes virus-1 (PhHV-1) was added within the isolation lysis buffer to serve as an internal control [21]. DNA was stored at 4°C.

                        Real-time PCR

                        Plasmodium-specific primers and P. falciparum, Plasmodium vivax, Plasmodium ovale and Plasmodium malariae-specific probes were used as described previously [15]. Amplification reactions were performed in white PCR plates, in a volume of 25 μl with PCR buffer (HotstarTaq mastermix; Qiagen, Valencia, USA), a total of 5 mmol/l MgCl2, 12.5 pmol of each Plasmodium-specific primer and 15 pmol of each PhHV-1-specific primer, 1.25 pmol of each P. falciparum, P. vivax, P. malariae-specific XS-probes, and PhHV-1-specific Cy5 double-labelled detection probe, 2.5 pmol of each P. ovale-specific XS-probes (Biolegio, Nijmegen, The Netherlands) and 5 μl of DNA sample. Amplification comprised of 15 min at 95°C, followed by 50 cycles of 15 sec at 95°C, 30 sec at 60°C and 30 sec at 72°C. Negative and positive control samples for each four species were included in each PCR run.

                        Amplification, detection, and analysis were performed using the CFX real-time detection system (Bio-Rad Laboratories, USA). The PCR output from this system consists of a cycle-threshold (Ct) value, representing the amplification cycle in which the level of fluorescent signal exceeds the background fluorescence reflecting the parasite-specific DNA load in the sample tested. The amplification is considered to be hampered by inhibitory factors if the expected cycle threshold (Ct) value in the PhHV-specific PCR was increased by more than 3.3 cycles. Positive Ct- values were grouped into three groups: Ct < 30.0, 30.0 < Ct < 35.0 and >35.0 representing a high, moderate and low DNA load, respectively.

                        DNA isolation and set up of the PCR reactions were performed using a custom-made Hamilton robot platform.

                        Data analysis

                        All data were recorded on standardized case report forms using Excel spreadsheets, stored in an Access database (Microsoft, Redmond, USA) and exported for analysis in SPSS 17.0. Analysis for real-time PCR results was done using CFX Manager™ Software Version 1.0, Bio-Rad. Chi-square distribution for the risk of being infected with a Plasmodium species, age, residence, gender and sub microscopic infection were calculated as a proportion of parasite infections detected in these groups. Continuous variables were described by the range and median of all PCR-positive cases and were compared between groups by the Mann Whitney-Non Parametric Test. Statistical significance was considered at p-value <0.05.

                        Results

                        Study population

                        A total of 1,516 blood samples were available for microscopy and PCR. Seven samples were excluded due to failure of the DNA isolation or inhibition of the DNA amplification reaction. Figure 2 shows the flow chart of the samples in the study. The final number of samples included in the analysis was 1,509 with ages ranging from four to 79 years, mean and median age of 29 and 27 years, respectively. Participants older than 20 years were over-represented in the analysis group compared to the total population (57.9% vs 42.1%). The proportion of males in the analysis group (41.7%) was slightly less than the proportion of males in population (45.3%). A detailed comparison of the population and participants’ characteristics is given in an additional table [see Additional file 1]. Participant characteristics per sub village are described in Additional file 2.
                        http://static-content.springer.com/image/art%3A10.1186%2F1475-2875-12-169/MediaObjects/12936_2013_2791_Fig2_HTML.jpg
                        Figure 2

                        Flow chart: Cases available for describing the epidemiology of Plasmodium infections in Flores Island, Indonesia using real-time PCR.

                        Microscopy versus real-time PCR

                        The results of microscopy and real-time PCR are summarized in Table 1. Fifty-two (3.4%) of all available samples in the study were positive by microscopic examination and confirmed with real-time PCR. Plasmodium falciparum, P. vivax and P. malariae-specific DNA amplification was shown in a total of 399 (26.4%) subjects.
                        Table 1

                        Number of Plasmodium infections detected with microscopy and real-time PCR

                        Species

                        Microscopy*

                        Real-time PCR

                         

                        Total

                        Total

                        Ndeturea

                        Ndorurea 1

                        Ndorurea

                        P. falciparum

                        36

                        172

                        51

                        52

                        69

                        P. vivax

                        10

                        158

                        29

                        63

                        66

                        P. malariae

                        5

                        22

                        11

                        3

                        8

                        Mixed Pf and Pv

                        1

                        41

                        3

                        14

                        24

                        Mixed Pf and Pm

                        0

                        6

                        5

                        1

                        0

                        Negative

                        1457

                        1110

                        221

                        401

                        488

                        Total

                        1509

                        1509

                        320

                        534

                        655

                        Total Prevalence

                        3.4%

                        26.4%

                        30.9%#

                        24.9%#

                        25.5%#

                        *confirmed by real-time PCR.

                        #not significantly different (p = 0.118).

                        Discrepancies between positive results in the microscopy and real-time PCR were observed in 14 cases. In seven cases real-time PCR revealed another Plasmodium species than the species that was determined with microscopy. In another seven samples Plasmodium-specific DNA could not be detected, neither with the Plasmodium species-specific probes nor when checked for Plasmodium genus-specific amplification using agarose gel-electrophoreses.

                        Plasmodium falciparum, P. vivax and P. malariae parasites were detected with PCR only (i e, were sub microscopic) in 83.1%, 94.5% and 82.1% of the subjects, respectively. Median Ct-values of P. falciparum, P. vivax and P. malariae-specific amplification in sub microscopic cases were higher (i e, lower DNA load) compared to the median Ct-values of microscopy positive subjects 35.3, 36.3 and 36.4 versus 30.4, 28.7 and 30.8, respectively (p values ≤0.02).

                        Epidemiology of Plasmodium infections using real-time PCR

                        Plasmodium falciparum, P. vivax and P. malariae-specific DNA amplification was shown in 14.5%, 13.2% and 1.9% of the samples, respectively. The distribution of Plasmodium species and infections in each sub village is summarized in Table 1. In all three sub-villages, P. falciparum, P. vivax and P. malariae, and subjects with mixed infections were detected. Mixed infections of P. falciparum and P. vivax were detected in 41 subjects and in six subjects a mixed infection of P. falciparum and P. malariae was found. The highest prevalence of Plasmodium infections was detected in Ndeturea (30.9%) compared by Ndoturea 1 (24.9%), and Ndorurea (25.5%), but the difference was not statistically significant.

                        Figure 3 shows the parasite-specific DNA loads of P. falciparum and P. vivax in the different age groups. A high load of Plasmodium species-specific DNA (Ct <30) was found for P. falciparum, P. vivax and P. malariae in 10.5%, 4% and 14.3% of the positive cases, respectively. A moderate DNA load (Ct 30–35) was found for P. falciparum (43.8%), P. vivax (31%), and P. malariae (39.3%) and a low DNA load (Ct > 35) was detected for P. falciparum (45.7%), P. vivax (65%) and P. malariae (46.4%). Plasmodium malariae was not detected in subjects below five years of age.
                        http://static-content.springer.com/image/art%3A10.1186%2F1475-2875-12-169/MediaObjects/12936_2013_2791_Fig3_HTML.jpg
                        Figure 3

                        Age distribution detected with real-time PCR divided in to cases with a high, moderate, and low DNA load of: A. P. falciparum infections; B. P. vivax infections.

                        Factors associated with Plasmodium infection

                        Table 2 summarizes the Plasmodium species-specific real-time PCR results in correlation with age, gender, haematological parameters, and body temperature. The prevalence of P. falciparum in subjects younger than 20 years (22.4%) was significantly higher compared to the prevalence found in subjects older than 20 years (8.7%) (p ≤ 0.001). The same was found for the prevalence of P. vivax in the young and older age group, 18.4% and 9.3%, respectively (p ≤ 0.001). The median Ct-values of the P. falciparum PCR in subjects below 20 years were lower compared to subjects of 20 years and older, 34.2 and 36.0 respectively (p = 0.003). The median Ct-values in the P. vivax PCR were not significantly different in the young and older age group. Both prevalence and median Ct-values of the P. malariae PCR in subjects below 20 years were not significantly different compared to the subjects older than 20 years.
                        Table 2

                        Plasmodium species-specific real-time PCR results in correlation with age, gender, body temperature, haemoglobin levels, and ABO blood group typing results

                        Variables

                          

                        n total

                        % Positive

                        p-value1

                        Ct-value median

                        Ct-value range

                        p-value2

                        Age group (years)

                        Pf

                        < 20

                        642

                        22.4

                        <0.001

                        34.2

                        24.2-48.7

                        0.003

                         

                        ≥ 20

                        867

                        8.7

                        36.0

                        28.3-43.5

                        Pv

                        < 20

                        642

                        18.4

                        <0.001

                        35.7

                        26.5-48.3

                        n.s.

                         

                        ≥ 20

                        867

                        9.3

                        36.5

                        28.3-46.1

                        Pm

                        < 20

                        642

                        2.0

                        n.s.

                        33.0

                        27.2-43.7

                        n.s.

                         

                        ≥ 20

                        867

                        1.7

                        36.0

                        29.8-41.0

                        Gender

                        Pf

                        Male

                        629

                        15.9

                        n.s.

                        34.0

                        24.2-46.0

                        n.s.

                         

                        Female

                        880

                        13.5

                        34.9

                        27.2-48.7

                        Pv

                        Male

                        629

                        15.7

                        0.013

                        36.0

                        28.3-43.2

                        n.s.

                         

                        Female

                        880

                        11.4

                        36.1

                        26.5-48.3

                        Pm

                        Male

                        629

                        1.9

                        n.s.

                        36.6

                        28.8-43.7

                        n.s.

                         

                        Female

                        880

                        1.8

                        32.1

                        27.2-42.7

                        Haemoglobin

                        Pf

                        Normal

                        400

                        12.8

                        <0.001

                        34.9

                        27.1-43.5

                        0.02

                         

                        Anaemia

                        138

                        30.4

                        32.7

                        25.1-42.0

                        Pv

                        Normal

                        400

                        12.5

                        n.s.

                        36.9

                        28.3-48.3

                        0.01

                         

                        Anaemia

                        138

                        15.9

                        34.2

                        26.5-41.6

                        Pm

                        Normal

                        400

                        2.0

                        n.s.

                        36.3

                        28.8-38.1

                        n.s.

                         

                        Anaemia

                        138

                        2.9

                        32.1

                        30.7-40.7

                        Blood Group

                        Pf

                        A

                        320

                        12.5

                         

                        35.3

                        25.1-42.6

                         
                         

                        B

                        315

                        13.0

                         

                        34.1

                        25.9-43.4

                         
                         

                        O

                        564

                        13.1

                        n.s.#

                        34.3

                        24.2-78.7

                        n.s.#

                         

                        AB

                        64

                        18.8

                        37.2

                        29.3-38.8

                        Pv

                        A

                        320

                        10.3

                         

                        36.2

                        28.3-46.1

                         
                         

                        B

                        315

                        15.9

                         

                        36.3

                        31.1-43.2

                         
                         

                        O

                        564

                        12.4

                        n.s.#

                        36.3

                        27.7-44.2

                        n.s.#

                         

                        AB

                        64

                        20.3

                        35.8

                        28.7-39.0

                        Pm

                        A

                        320

                        1.9

                         

                        35.1

                        27.2-41.0

                         
                         

                        B

                        315

                        1.6

                         

                        36.0

                        28.0-36.7

                         
                         

                        O

                        564

                        2.0

                        n.s.#

                        34.8

                        30.7-43.7

                        n.s.#

                         

                        AB

                        64

                        1.6

                        0

                        40.7

                         

                        Pf

                        <36.5

                        394

                        12.4

                         

                        34.3

                        24.2-48.7

                         
                          

                        36.5-37.5

                        1094

                        14.9

                         

                        34.5

                        25.1-46.0

                        n.s.

                          

                        >37.5

                        8

                        50.0

                         

                        34.1

                        31.5-39.4

                         
                         

                        Pv

                        <36.5

                        394

                        14.2

                         

                        36.2

                        28.3-48.3

                         

                        Temperature

                         

                        36.5-37.5

                        1094

                        12.7

                         

                        36.0

                        26.5-46.1

                        n.s.

                        (°C)

                         

                        >37.5

                        8

                        12.5

                         

                        40.5

                        40.5

                         
                         

                        Pm

                        <36.5

                        394

                        2.0

                         

                        31.4

                        27.9-36.8

                         
                          

                        36.5-37.5

                        1094

                        1.8

                         

                        35.4

                        27.2-43.7

                        n.s.

                          

                        >37.5

                        8

                        0.0

                         

                        --

                        --

                         

                        1 Pearson Chi square test.

                        2 Non Parametric Test (NPT) with Mann Whitney.

                        # p-value of blood group AB compared to non AB blood group.

                        n.s. Not Significant.

                        The prevalence of Plasmodium infections in males compared to females was significantly different for P. vivax 15.7% versus 11.4%, respectively (p = 0.01). There was no difference in prevalence of P. falciparum and P. malariae. The median Ct-values of P. falciparum, P. vivax and P. malariae-specific amplification in males were not significantly different compared to those in females.

                        The haemoglobin concentration was measured in 538 of 1,509 of the participants. Normal haemoglobin level was found in 74.3% of the subjects and 25.7% were categorized as anaemic. The number of P. falciparum-positive subjects was significantly higher (p ≤ 0.001) in anaemic participants as compared to the subjects with a normal haemoglobin level. There was no difference in the number of P. vivax and P. malariae positive subjects in the anaemic and non-anaemic group. The median Ct-values of P. falciparum and P. vivax -specific amplification were lower in the anaemic cases compared to the non-anaemic subjects (p = 0.02 and p = 0.01 respectively).

                        Blood grouping was performed in 1,263 of 1,509 subjects. Blood group A, B, AB, and O was found in 25.3%, 24.9%, 5.1% and 44.7% of the subjects, respectively. The highest prevalence of Plasmodium infections was found in subjects with blood group AB as compared to the other blood groups. The prevalence and median Ct-values of all three Plasmodium species separately were not different between the subjects with different blood groups.

                        Body temperature was recorded in 1,496 of 1,509 participants. A low body temperature (<36.1°C) was found in 26.3% of the participants, a normal body temperature (36.1-37.5°C) in 73.1% and eight of 1,509 (0.5%) showed a high body temperature (>37.5°C). There was no difference in the number of Plasmodium infections in the cases with a low and normal body temperature. Plasmodium falciparum was detected in four of eight subjects with a high body temperature. However, the number of subjects in this group was too small for statistical analysis.

                        Discussion

                        In the present population-based study on Flores Island, Indonesia, P. falciparum, P. vivax, P. malariae and mixed infections were detected with PCR in 11.4%, 10.5%, 1.5%, and 3.1% of the participants, respectively. Only 87% of all infections were revealed using real-time PCR. The higher sensitivity of the real-time PCR is reflected in the lower DNA load in microscopy-negative subjects compared to the DNA load found in microscopy-positive subjects.

                        Plasmodium falciparum prevalence increased up to 15–19 years of age and decreased in the older age groups; also the parasite load was significantly higher in the participants under 20 years whereas the prevalence of P. vivax started to decrease somewhat earlier in age. In areas with higher transmission intensity, such as Irian Jaya and in Africa, the peak in prevalence and parasitaemia is usually observed at a younger age due to an earlier acquired immunity [2224].

                        Although only significant for P. vivax, the numbers of malaria infections were found higher in males than females. This could be more due to working outdoors in the field resulting in a higher exposure to mosquito bites, but then higher P. falciparum and P. malariae infections would be expected. This was also shown in a study performed in India [25] but in contrast with a study in Popondeta, Papua New Guinea, located close to the eastern part of Indonesia, where no significant difference was found in malaria prevalence between males and females [26]. A more detailed statistical analysis of links between gender, work, local ecological, environmental, economic and cultural factors, which might influence exposure to risk of infection and the disease, has been planned for the future.

                        Clearly anaemia is a well-known phenomenon associated with malaria disease, but also in the present study among apparently healthy individuals, anaemia was strongly correlated with the prevalence and load of P. falciparum infections, which is in agreement with other studies in asymptomatic subjects [2732]. In the present study, anaemia was also correlated with the load of P. vivax infections. Although anaemia is a known complication in cases with severe P. vivax malaria, it is less known in latent P. vivax cases and might be underestimated due to misdiagnosis. Obviously anaemia is a multifactorial clinical phenomenon [33] and no correction was performed for potential other causes.

                        Several studies were performed to understand the contribution of ABO blood group antigens in protection against Plasmodium infections. Although meta-analysis has shown that blood group O provides selective advantages against severe malaria, other studies were unable to link ABO blood groups to the incidence of malaria [3437]. In the present cross-sectional study, the prevalence of P. falciparum and P. vivax was higher, although not significantly in subjects with blood group AB compared to subjects with the other blood groups. This seems in contrast with previous findings; however, in the present study mostly sub microscopic Plasmodium infections were found using real-time PCR whereas previous studies used microscopy to detect malaria parasites. Further studies in areas of different endemicity using Plasmodium PCR will be needed to elucidate the role of ABO blood groups in acquiring infection and the outcome of disease in malaria.

                        The real-time PCR procedure as described in this paper is not suitable to use as a point of-care (POC) test in “treatment on diagnosis” control strategies. The high-throughput, however makes it very appealing to transport samples to a central laboratory for monitoring the effect of mass drug administration programs [38]. Moreover, nucleic acid based POC assays are in development as well, such as LAMP (loop-mediated isothermal amplification), nucleic acid amplification protocols directly from blood without DNA extraction, and lateral flow detection of PCR products [3942].

                        In the present study real-time PCR has proved to be a powerful diagnostic tool providing novel insights into the epidemiology of malaria infections in a low transmission area. The high number of sub microscopic infections have important implications in the transmission dynamics [4348] and have to be considered in novel elimination strategies [38, 4951]. Moreover, these low density malaria infections appear to play a role in eliciting or maintaining humoral immune responses [48, 52, 53] and therefore should be taken into account in, for example studies on the immunology in malaria infections and the association with the regulatory responses that may be caused by chronic worm infections interacting with inflammation [15].

                        Conclusions

                        Real-time PCR revealed 7.8 times more Plasmodium infection compared to microscopy. Sub microscopic infections are common in this area, over 22% of the subjects in the study show sub microscopic Plasmodium infections, which might play an important role in transmission. Real-time PCR provides more insight into the epidemiology of Plasmodium infections, which could be applied for preventing, monitoring, and evaluation of novel programs for the elimination of malaria.

                        Declarations

                        Acknowledgements

                        This study was funded by the KNAW, and the Prof Dr P. F. C. Flu-Foundation. We thank the Directorate General of Higher Education (DGHE) of Indonesia, Leiden University Medical Center, and the Medical Faculty of the University of Indonesia as home base of education that supports the study. We are grateful to all participating villagers from Nangapanda for their excellent help and cooperation.

                        Authors’ Affiliations

                        (1)
                        Department of Parasitology, Faculty of Medicine, University of Indonesia
                        (2)
                        Department of Parasitology, Center of Infectious Diseases, Leiden University Medical Center
                        (3)
                        Department of Microbiology, Faculty of Medicine, University of Hasanuddin
                        (4)
                        Unités Mixtes de Recherche, Institut de Recherche pour le Développement, Mère et Enfant Face aux Infections
                        (5)
                        Laboratory for Medical Microbiology and Immunology, St. Elisabeth Hospital

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                        © Kaisar et al.; licensee BioMed Central Ltd. 2013

                        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.

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