Analytical approaches for antimalarial antibody responses to confirm historical and recent malaria transmission: an example from the Philippines.

Background: Assessing the status of malaria transmission in endemic areas becomes increasingly challenging as countries approach elimination. Serology can provide robust estimates of malaria transmission intensities, and multiplex serological assays allow for simultaneous assessment of markers of recent and historical malaria exposure. Methods: Here, we evaluated different statistical and machine learning methods for analyzing multiplex malaria-specific antibody response data to classify recent and historical exposure to Plasmodium falciparum and Plasmodium vivax. To assess these methods, we utilized samples from a health-facility based survey (n = 9132) in the Philippines, where we quantified antibody responses against 8 P. falciparum and 6 P. vivax-specific antigens from 3 sites with varying transmission intensity. Findings: Measurements of antibody responses and seroprevalence were consistent with the 3 sites' known endemicity status. Among the models tested, a machine learning (ML) approach (Random Forest model) using 4 serological markers (PfGLURP R2, Etramp5.Ag1, GEXP18, and PfMSP119) gave better predictions for P. falciparum recent infection in Palawan (AUC: 0.9591, CI 0.9497-0.9684) than individual antigen seropositivity. Although the ML approach did not improve P. vivax infection predictions, ML classifications confirmed the absence of recent exposure to P. falciparum and P. vivax in both Occidental Mindoro and Bataan. For predicting historical P. falciparum and P. vivax transmission, seroprevalence and seroconversion rates based on cumulative exposure markers AMA1 and MSP119 showed reliable trends in the 3 sites. Interpretation: Our study emphasizes the utility of serological markers in predicting recent and historical exposure in a sub-national elimination setting, and also highlights the potential use of machine learning models using multiplex antibody responses to improve assessment of the malaria transmission status of countries aiming for elimination. This work also provides baseline antibody data for monitoring risk in malaria-endemic areas in the Philippines. Funding: Newton Fund, Philippine Council for Health Research and Development, UK Medical Research Council.

Prevalence and temporal changes of mutations linked to antimalarial drug resistance in Plasmodium falciparum and Plasmodium vivax in Palawan, Philippines.

OBJECTIVE: This study provides 2016 data on the prevalence of key single nucleotide polymorphisms (SNPs) associated with antimalarial drug resistance in Palawan, Philippines. Findings were combined with historical data to model temporal changes in the prevalence of these SNPs in Plasmodium isolates. METHODS: Plasmodium isolates were genotyped using drug resistance markers pfmdr1, pfcrt, pfdhfr, pfdhps, kelch-13, pvmdr1, pvdhfr, and pvdhps. Temporal trends in the probability of mutations were estimated as a function of time using a binomial generalised linear model. RESULTS: All samples sequenced for Plasmodium falciparum chloroquine markers pfmdr1 and pfcrt had wild-type alleles. Varying mutation patterns were observed for the sulphadoxine/pyrimethamine markers pfdhps and pfdhfr; complete quintuplet mutations were not found. No SNPs were observed for the artemisinin marker kelch-13. For Plasmodium vivax, differing patterns were detected for pvmdr1, pvdhfr, and pvdhps. CONCLUSIONS: The study findings suggest that the current drugs remain effective and that there is limited importation and establishment of resistant parasites in the area. Clear temporal trends were recognised, with prominent decreases in the proportions of pfcrt and pfmdr mutations detected within the past 15 years, consistent with a change in antimalarial drug policy. Continuous surveillance of antimalarial drug resistance is important to support malaria elimination efforts.

Enhanced Health Facility Surveys to Support Malaria Control and Elimination across Different Transmission Settings in the Philippines.

Following substantial progress in malaria control in the Philippines, new surveillance approaches are needed to identify and target residual malaria transmission. This study evaluated an enhanced surveillance approach using rolling cross-sectional surveys of all health facility attendees augmented with molecular diagnostics and geolocation. Facility surveys were carried out in three sites representing different transmission intensities: Morong, Bataan (pre-elimination), Abra de Ilog, Occidental Mindoro (stable medium risk), and Rizal, Palawan (high risk, control). Only one rapid diagnostic test (RDT)-positive infection and no PCR confirmed infections were found in Bataan and Occidental Mindoro, suggesting the absence of transmission. In Palawan, the inclusion of all health facility attendees, regardless of symptoms, and use of molecular diagnostics identified 313 infected individuals in addition to 300 cases identified by routine screening of febrile patients with the RDT or microscopy. Of these, the majority (313/613) were subpatent infections and only detected using molecular methods. Simultaneous collection of GPS coordinates on tablet-based applications allowed real-time mapping of malaria infections. Risk factor analysis showed higher risks in children and indigenous groups, with bed net use having a protective effect. Subpatent infections were more common in men and older age-groups. Overall, malaria risks were not associated with participants' classification, and some of the non-patient clinic attendees reported febrile illnesses (1.9%, 26/1,369), despite not seeking treatment, highlighting the widespread distribution of infection in communities. Together, these data illustrate the utility of health facility-based surveys to augment surveillance data to increase the probability of detecting infections in the wider community.

Molecular monitoring of dihydrofolatereductase (dhfr) and dihydropteroatesynthetase (dhps) associated with sulfadoxine-pyrimethamine resistance in Plasmodium vivax isolates of Palawan, Philippines.

The emergence of drug-resistant Plasmodium vivax poses problems for malaria control and elimination in some parts of the world, especially in developing countries where individuals are routinely exposed to the infection. The aim of this study was to determine the single nucleotide polymorphisms (SNPs) in dihydropteroate synthase (pvdhps) and dihydrofolate reductase (pvdhfr) genes associated with sulfadoxine-pyrimethamine (SP) drug resistance among P. vivax isolates collected in Palawan, Philippines. Genetic polymorphisms of pvdhps and pvdhfr were analysed by nested PCR. Analysis at specific codons I13P33F57S58T61S117I173 associated with pyrimethamine resistance in the pvdhfr gene revealed that most of the samples (66/87, 75.9%) carried double mutation at positions I13P33F57R58T61N117I173, while only 18.4% (16/87) of the isolates carried the wild-type haplotype (I13P33F57S58T61S117I173). For the pvdhps gene, the codons involved in sulfadoxine resistance S382A383K512A553V585 were investigated. Single mutation at position S382G383K512A553V585 was most observed in 68.0% (68/100) of the samples, whereas wild-type haplotype was found in 26.0% (26/100) of samples. The pvdhps and pvdhfr combination S382A383K512A553V585/I13P33F57S58T61S117I173 (wild-type), S382G383K512A553V585/I13P33F57R58T61N117I173, and S382A383K512A553V585-I13P33F57R58T61N117I173 were the most frequently observed combination haplotypes from the three study sites. The information on molecular markers associated with antifolate drug-resistance could help better understanding ofthe molecular epidemiology and situation of SP resistant P. vivax malaria in the country. Continuous surveillance of these genetic markers is necessary to monitor the evolution of SP resistance in the Philippines.