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    An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples.
    MalariaGEN, ; Ahouidi, A ; Ali, M ; Almagro-Garcia, J ; Amambua-Ngwa, A ; Amaratunga, C ; Amato, R ; Amenga-Etego, L ; Andagalu, B ; Anderson, TJC ; Andrianaranjaka, V ; Apinjoh, T ; Ariani, C ; Ashley, EA ; Auburn, S ; Awandare, GA ; Ba, H ; Baraka, V ; Barry, AE ; Bejon, P ; Bertin, GI ; Boni, MF ; Borrmann, S ; Bousema, T ; Branch, O ; Bull, PC ; Busby, GBJ ; Chookajorn, T ; Chotivanich, K ; Claessens, A ; Conway, D ; Craig, A ; D'Alessandro, U ; Dama, S ; Day, NP ; Denis, B ; Diakite, M ; Djimdé, A ; Dolecek, C ; Dondorp, AM ; Drakeley, C ; Drury, E ; Duffy, P ; Echeverry, DF ; Egwang, TG ; Erko, B ; Fairhurst, RM ; Faiz, A ; Fanello, CA ; Fukuda, MM ; Gamboa, D ; Ghansah, A ; Golassa, L ; Goncalves, S ; Hamilton, WL ; Harrison, GLA ; Hart, L ; Henrichs, C ; Hien, TT ; Hill, CA ; Hodgson, A ; Hubbart, C ; Imwong, M ; Ishengoma, DS ; Jackson, SA ; Jacob, CG ; Jeffery, B ; Jeffreys, AE ; Johnson, KJ ; Jyothi, D ; Kamaliddin, C ; Kamau, E ; Kekre, M ; Kluczynski, K ; Kochakarn, T ; Konaté, A ; Kwiatkowski, DP ; Kyaw, MP ; Lim, P ; Lon, C ; Loua, KM ; Maïga-Ascofaré, O ; Malangone, C ; Manske, M ; Marfurt, J ; Marsh, K ; Mayxay, M ; Miles, A ; Miotto, O ; Mobegi, V ; Mokuolu, OA ; Montgomery, J ; Mueller, I ; Newton, PN ; Nguyen, T ; Nguyen, T-N ; Noedl, H ; Nosten, F ; Noviyanti, R ; Nzila, A ; Ochola-Oyier, LI ; Ocholla, H ; Oduro, A ; Omedo, I ; Onyamboko, MA ; Ouedraogo, J-B ; Oyebola, K ; Pearson, RD ; Peshu, N ; Phyo, AP ; Plowe, CV ; Price, RN ; Pukrittayakamee, S ; Randrianarivelojosia, M ; Rayner, JC ; Ringwald, P ; Rockett, KA ; Rowlands, K ; Ruiz, L ; Saunders, D ; Shayo, A ; Siba, P ; Simpson, VJ ; Stalker, J ; Su, X-Z ; Sutherland, C ; Takala-Harrison, S ; Tavul, L ; Thathy, V ; Tshefu, A ; Verra, F ; Vinetz, J ; Wellems, TE ; Wendler, J ; White, NJ ; Wright, I ; Yavo, W ; Ye, H (F1000 Research Ltd, 2021)
    MalariaGEN is a data-sharing network that enables groups around the world to work together on the genomic epidemiology of malaria. Here we describe a new release of curated genome variation data on 7,000 Plasmodium falciparum samples from MalariaGEN partner studies in 28 malaria-endemic countries. High-quality genotype calls on 3 million single nucleotide polymorphisms (SNPs) and short indels were produced using a standardised analysis pipeline. Copy number variants associated with drug resistance and structural variants that cause failure of rapid diagnostic tests were also analysed.  Almost all samples showed genetic evidence of resistance to at least one antimalarial drug, and some samples from Southeast Asia carried markers of resistance to six commonly-used drugs. Genes expressed during the mosquito stage of the parasite life-cycle are prominent among loci that show strong geographic differentiation. By continuing to enlarge this open data resource we aim to facilitate research into the evolutionary processes affecting malaria control and to accelerate development of the surveillance toolkit required for malaria elimination.
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    Infectivity of Symptomatic Malaria Patients to Anopheles farauti Colony Mosquitoes in Papua New Guinea
    Timinao, L ; Vinit, R ; Katusele, M ; Koleala, T ; Nate, E ; Czeher, C ; Burkot, TR ; Schofield, L ; Felger, I ; Mueller, I ; Laman, M ; Robinson, LJ ; Karl, S (FRONTIERS MEDIA SA, 2021-12-22)
    Plasmodium transmission from humans to mosquitoes is an understudied bottleneck in the transmission of malaria. Direct membrane feeding assays (DMFA) allow detailed malaria transmission studies from humans to mosquitoes. Especially for Plasmodium vivax, which cannot be cultured long-term under laboratory conditions, implementation of DMFAs requires proximity to P. vivax endemic areas. In this study, we investigated the infectivity of symptomatic Plasmodium infections to Anopheles farauti colony mosquitoes in Papua New Guinea (PNG). A total of 182 DMFAs were performed with venous blood collected from rapid diagnostic test (RDT) positive symptomatic malaria patients and subsequently analysed by light microscopy and quantitative real time polymerase chain reaction (qPCR). DMFAs resulted in mosquito infections in 20.9% (38/182) of cases. By light microscopy and qPCR, 10 - 11% of P. falciparum and 32 - 44% of P. vivax positive individuals infected An. farauti. Fifty-eight percent of P. vivax and 15% of P. falciparum gametocytaemic infections infected An farauti.
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    IgG Antibody Responses Are Preferential Compared With IgM for Use as Serological Markers for Detecting Recent Exposure to Plasmodium vivax Infection
    Longley, RJ ; White, MT ; Brewster, J ; Liu, ZSJ ; Bourke, C ; Takashima, E ; Harbers, M ; Tham, W-H ; Healer, J ; Chitnis, CE ; Monteiro, W ; Lacerda, M ; Sattabongkot, J ; Tsuboi, T ; Mueller, I (OXFORD UNIV PRESS INC, 2021-06)
    To achieve malaria elimination, new tools are required to explicitly target Plasmodium vivax. Recently, a novel panel of P. vivax proteins were identified and validated as serological markers for detecting recent exposure to P. vivax within the last 9 months. In order to improve the sensitivity and specificity of these markers, immunoglobulin M (IgM) in addition to immunoglobulin G (IgG) antibody responses were compared with a down-selected panel of 20 P. vivax proteins. IgM was tested using archival plasma samples from observational cohort studies conducted in malaria-endemic regions of Thailand and Brazil. IgM responses to these proteins generally had poorer classification performance than IgG.
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    Kinetics of the Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Response and Serological Estimation of Time Since Infection
    Pelleau, S ; Woudenberg, T ; Rosado, J ; Donnadieu, F ; Garcia, L ; Obadia, T ; Gardais, S ; Elgharbawy, Y ; Velay, A ; Gonzalez, M ; Nizou, JY ; Khelil, N ; Zannis, K ; Cockram, C ; Merkling, SH ; Meola, A ; Kerneis, S ; Terrier, B ; de Seze, J ; Planas, D ; Schwartz, O ; Dejardin, F ; Petres, S ; von Platen, C ; Pellerin, SF ; Arowas, L ; de Facci, LP ; Duffy, D ; Cheallaigh, CN ; Dunne, J ; Conlon, N ; Townsend, L ; Duong, V ; Auerswald, H ; Pinaud, L ; Tondeur, L ; Backovic, M ; Hoen, B ; Fontanet, A ; Mueller, I ; Fafi-Kremer, S ; Bruel, T ; White, M (OXFORD UNIV PRESS INC, 2021-11-01)
    BACKGROUND: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a complex antibody response that varies by orders of magnitude between individuals and over time. METHODS: We developed a multiplex serological test for measuring antibodies to 5 SARS-CoV-2 antigens and the spike proteins of seasonal coronaviruses. We measured antibody responses in cohorts of hospitalized patients and healthcare workers followed for up to 11 months after symptoms. A mathematical model of antibody kinetics was used to quantify the duration of antibody responses. Antibody response data were used to train algorithms for estimating time since infection. RESULTS: One year after symptoms, we estimate that 36% (95% range, 11%-94%) of anti-Spike immunoglobulin G (IgG) remains, 31% (95% range, 9%-89%) anti-RBD IgG remains, and 7% (1%-31%) of anti-nucleocapsid IgG remains. The multiplex assay classified previous infections into time intervals of 0-3 months, 3-6 months, and 6-12 months. This method was validated using data from a seroprevalence survey in France, demonstrating that historical SARS-CoV-2 transmission can be reconstructed using samples from a single survey. CONCLUSIONS: In addition to diagnosing previous SARS-CoV-2 infection, multiplex serological assays can estimate the time since infection, which can be used to reconstruct past epidemics.
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    Sensitive detection of Plasmodium vivax malaria by the rotating-crystal magneto-optical method in Thailand
    Orban, A ; Longley, RJ ; Sripoorote, P ; Maneechai, N ; Nguitragool, W ; Butykai, A ; Mueller, I ; Sattabongkot, J ; Karl, S ; Kezsmarki, I (NATURE PORTFOLIO, 2021-09-17)
    The rotating-crystal magneto-optical detection (RMOD) method has been developed for the rapid and quantitative diagnosis of malaria and tested systematically on various malaria infection models. Very recently, an extended field trial in a high-transmission region of Papua New Guinea demonstrated its great potential for detecting malaria infections, in particular Plasmodium vivax. In the present small-scale field test, carried out in a low-transmission area of Thailand, RMOD confirmed malaria in all samples found to be infected with Plasmodium vivax by microscopy, our reference method. Moreover, the magneto-optical signal for this sample set was typically 1-3 orders of magnitude higher than the cut-off value of RMOD determined on uninfected samples. Based on the serial dilution of the original patient samples, we expect that the method can detect Plasmodium vivax malaria in blood samples with parasite densities as low as [Formula: see text]5-10 parasites per microliter, a limit around the pyrogenic threshold of the infection. In addition, by investigating the correlation between the magnitude of the magneto-optical signal, the parasite density and the erythrocytic stage distribution, we estimate the relative hemozoin production rates of the ring and the trophozoite stages of in vivo Plasmodium vivax infections.
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    SARS-CoV-2 Multi-Antigen Serology Assay
    Mazhari, R ; Ruybal-Pesantez, S ; Angrisano, F ; Kiernan-Walker, N ; Hyslop, S ; Longley, RJ ; Bourke, C ; Chen, C ; Williamson, DA ; Robinson, LJ ; Mueller, I ; Eriksson, EM (MDPI, 2021-12)
    Serology tests are extremely useful for assessing whether a person has been infected with a pathogen. Since the onset of the COVID-19 pandemic, measurement of anti-SARS-CoV-2-specific antibodies has been considered an essential tool in identifying seropositive individuals and thereby understanding the extent of transmission in communities. The Luminex system is a bead-based technology that has the capacity to assess multiple antigens simultaneously using very low sample volumes and is ideal for high-throughput studies. We have adapted this technology to develop a COVID-19 multi-antigen serological assay. This protocol described here carefully outlines recommended steps to optimize and establish this method for COVID-19-specific antibody measurement in plasma and in saliva. However, the protocol can easily be customized and thus the assay is broadly applicable to measure antibodies to other pathogens.
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    Risk surveillance and mitigation: autoantibodies as triggers and inhibitors of severe reactions to SARS-CoV-2 infection
    Chen, C ; Amelia, A ; Ashdown, GW ; Mueller, I ; Coussens, AK ; Eriksson, EM (SPRINGER, 2021-12)
    COVID-19 clinical presentation differs considerably between individuals, ranging from asymptomatic, mild/moderate and severe disease which in some cases are fatal or result in long-term effects. Identifying immune mechanisms behind severe disease development informs screening strategies to predict who are at greater risk of developing life-threatening complications. However, to date clear prognostic indicators of individual risk of severe or long COVID remain elusive. Autoantibodies recognize a range of self-antigens and upon antigen recognition and binding, important processes involved in inflammation, pathogen defence and coagulation are modified. Recent studies report a significantly higher prevalence of autoantibodies that target immunomodulatory proteins including cytokines, chemokines, complement components, and cell surface proteins in COVID-19 patients experiencing severe disease compared to those who experience mild or asymptomatic infections. Here we discuss the diverse impacts of autoantibodies on immune processes and associations with severe COVID-19 disease.
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    Identification of the asymptomatic Plasmodium falciparum and Plasmodium vivax gametocyte reservoir under different transmission intensities
    Koepfli, C ; Nguitragool, W ; de Almeida, ACG ; Kuehn, A ; Waltmann, A ; Kattenberg, E ; Ome-Kaius, M ; Rarau, P ; Obadia, T ; Kazura, J ; Monteiro, W ; Darcy, AW ; Wini, L ; Bassat, Q ; Felger, I ; Sattabongkot, J ; Robinson, LJ ; Lacerda, M ; Mueller, I ; Thriemer, K (PUBLIC LIBRARY SCIENCE, 2021-08)
    BACKGROUND: Understanding epidemiological variables affecting gametocyte carriage and density is essential to design interventions that most effectively reduce malaria human-to-mosquito transmission. METHODOLOGY/PRINCIPAL FINDINGS: Plasmodium falciparum and P. vivax parasites and gametocytes were quantified by qPCR and RT-qPCR assays using the same methodologies in 5 cross-sectional surveys involving 16,493 individuals in Brazil, Thailand, Papua New Guinea, and Solomon Islands. The proportion of infections with detectable gametocytes per survey ranged from 44-94% for P. falciparum and from 23-72% for P. vivax. Blood-stage parasite density was the most important predictor of the probability to detect gametocytes. In moderate transmission settings (prevalence by qPCR>5%), parasite density decreased with age and the majority of gametocyte carriers were children. In low transmission settings (prevalence<5%), >65% of gametocyte carriers were adults. Per survey, 37-100% of all individuals positive for gametocytes by RT-qPCR were positive by light microscopy for asexual stages or gametocytes (overall: P. falciparum 178/348, P. vivax 235/398). CONCLUSIONS/SIGNIFICANCE: Interventions to reduce human-to-mosquito malaria transmission in moderate-high endemicity settings will have the greatest impact when children are targeted. In contrast, all age groups need to be included in control activities in low endemicity settings to achieve elimination. Detection of infections by light microscopy is a valuable tool to identify asymptomatic blood stage infections that likely contribute most to ongoing transmission at the time of sampling.
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    Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New Guinea
    Gul, D ; Rodriguez-Rodriguez, D ; Nate, E ; Auwan, A ; Salib, M ; Lorry, L ; Keven, JB ; Katusele, M ; Rosado, J ; Hofmann, N ; Ome-Kaius, M ; Koepfli, C ; Felger, I ; Kazura, JW ; Hetzel, MW ; Mueller, I ; Karl, S ; Clements, ACA ; Fowkes, FJ ; Laman, M ; Robinson, LJ (NATURE PORTFOLIO, 2021-08-16)
    Malaria risk is highly heterogeneous. Understanding village and household-level spatial heterogeneity of malaria risk can support a transition to spatially targeted interventions for malaria elimination. This analysis uses data from cross-sectional prevalence surveys conducted in 2014 and 2016 in two villages (Megiar and Mirap) in Papua New Guinea. Generalised additive modelling was used to characterise spatial heterogeneity of malaria risk and investigate the contribution of individual, household and environmental-level risk factors. Following a period of declining malaria prevalence, the prevalence of P. falciparum increased from 11.4 to 19.1% in Megiar and 12.3 to 28.3% in Mirap between 2014 and 2016, with focal hotspots observed in these villages in 2014 and expanding in 2016. Prevalence of P. vivax was similar in both years (20.6% and 18.3% in Megiar, 22.1% and 23.4% in Mirap) and spatial risk heterogeneity was less apparent compared to P. falciparum. Within-village hotspots varied by Plasmodium species across time and between villages. In Megiar, the adjusted odds ratio (AOR) of infection could be partially explained by household factors that increase risk of vector exposure, such as collecting outdoor surface water as a main source of water. In Mirap, increased AOR overlapped with proximity to densely vegetated areas of the village. The identification of household and environmental factors associated with increased spatial risk may serve as useful indicators of transmission hotspots and inform the development of tailored approaches for malaria control.
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    Surveillance of molecular markers of Plasmodium falciparum artemisinin resistance (kelch13 mutations) in Papua New Guinea between 2016 and 2018
    Lautu-Gumal, D ; Razook, Z ; Koleala, T ; Nate, E ; McEwen, S ; Timbi, D ; Hetzel, MW ; Lavu, E ; Tefuarani, N ; Makita, L ; Kazura, J ; Mueller, I ; Pomat, W ; Laman, M ; Robinson, LJ ; Barry, AE (ELSEVIER SCI LTD, 2021-08)
    Plasmodium falciparum resistance to artemisinin-based combination therapy (ACT) is a global threat to malaria control and elimination efforts. Mutations in the P. falciparum kelch13 gene (Pfk13) that are associated with delayed parasite clearance have emerged on the Thai-Cambodian border since 2008. There is growing evidence of widespread Pfk13 mutations throughout South-East Asia and they have independently emerged in other endemic regions. In Papua New Guinea (PNG), Pfk13 "C580Y" mutant parasites with reduced in vitro sensitivity to artemisinin have been isolated in Wewak, a port town in East Sepik Province. However, the extent of any local spread of these mutant parasites in other parts of PNG is unknown. We investigated the prevalence of Pfk13 mutations in multiple malaria-endemic regions of PNG. P. falciparum isolates (n = 1152) collected between 2016 and 2018 and assessed for Pfk13 variation by sequencing. Of 663 high quality Pfk13 sequences a total of five variants were identified. They included C580Y, a mutation at a previously documented polymorphic locus: N499K, and three previously undescribed mutations: R471C, K586E and Y635C. All variants were found in single isolates, indicating that these Pfk13 mutations were rare in the areas surveyed. Notably, C580Y was absent from Maprik district, which neighbours Wewak where C580Y mutant parasites were previously identified. The single C580Y isolate was found in the port town of Lae, Morobe Province, a potential entry site for the importation of drug resistant parasites into PNG. Although sample size in this location was small (n = 5), our identification of a C580Y mutant in this second location is concerning, highlighting the urgent need for further surveillance in Lae. Other Pfk13 mutants were rare in PNG between 2016 and 2018. Continued surveillance for molecular markers of drug resistance is critically important to inform malaria control in PNG.