Prospective surveillance study to detect antimalarial drug resistance, gene deletions of diagnostic relevance and genetic diversity of Plasmodium falciparum in Mozambique: protocol
Introduction Genomic data constitute a valuable adjunct to routine surveillance that can guide programmatic decisions to reduce the burden of infectious diseases. However, genomic capacities remain low in Africa. This study aims to operationalise a functional malaria molecular surveillance system in...
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BMJ Publishing Group
2022-07-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/7/e063456.full |
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| author | Alexandra Wharton-Smith Caterina Guinovart Pedro Aide Francisco Saute Alfredo Mayor Bryan Greenhouse Baltazar Candrinho Joshua L Proctor Arantxa Roca-Feltrer Clemente da Silva Eduard Rovira-Vallbona Craig Bonnington Caitlin Bever Arlindo Chidimatembue Maria Rodrigues Neide Canana Paulo Arnaldo Simone Boene Sonia Enosse |
| author_facet | Alexandra Wharton-Smith Caterina Guinovart Pedro Aide Francisco Saute Alfredo Mayor Bryan Greenhouse Baltazar Candrinho Joshua L Proctor Arantxa Roca-Feltrer Clemente da Silva Eduard Rovira-Vallbona Craig Bonnington Caitlin Bever Arlindo Chidimatembue Maria Rodrigues Neide Canana Paulo Arnaldo Simone Boene Sonia Enosse |
| author_sort | Alexandra Wharton-Smith |
| collection | DOAJ |
| description | Introduction Genomic data constitute a valuable adjunct to routine surveillance that can guide programmatic decisions to reduce the burden of infectious diseases. However, genomic capacities remain low in Africa. This study aims to operationalise a functional malaria molecular surveillance system in Mozambique for guiding malaria control and elimination.Methods and analyses This prospective surveillance study seeks to generate Plasmodium falciparum genetic data to (1) monitor molecular markers of drug resistance and deletions in rapid diagnostic test targets; (2) characterise transmission sources in low transmission settings and (3) quantify transmission levels and the effectiveness of antimalarial interventions. The study will take place across 19 districts in nine provinces (Maputo city, Maputo, Gaza, Inhambane, Niassa, Manica, Nampula, Zambézia and Sofala) which span a range of transmission strata, geographies and malaria intervention types. Dried blood spot samples and rapid diagnostic tests will be collected across the study districts in 2022 and 2023 through a combination of dense (all malaria clinical cases) and targeted (a selection of malaria clinical cases) sampling. Pregnant women attending their first antenatal care visit will also be included to assess their value for molecular surveillance. We will use a multiplex amplicon-based next-generation sequencing approach targeting informative single nucleotide polymorphisms, gene deletions and microhaplotypes. Genetic data will be incorporated into epidemiological and transmission models to identify the most informative relationship between genetic features, sources of malaria transmission and programmatic effectiveness of new malaria interventions. Strategic genomic information will be ultimately integrated into the national malaria information and surveillance system to improve the use of the genetic information for programmatic decision-making.Ethics and dissemination The protocol was reviewed and approved by the institutional (CISM) and national ethics committees of Mozambique (Comité Nacional de Bioética para Saúde) and Spain (Hospital Clinic of Barcelona). Project results will be presented to all stakeholders and published in open-access journals.Trial registration number NCT05306067. |
| format | Article |
| id | doaj-art-973c8c755ccf4153acfc32b92ebc8cf4 |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-973c8c755ccf4153acfc32b92ebc8cf42025-01-31T06:05:10ZengBMJ Publishing GroupBMJ Open2044-60552022-07-0112710.1136/bmjopen-2022-063456Prospective surveillance study to detect antimalarial drug resistance, gene deletions of diagnostic relevance and genetic diversity of Plasmodium falciparum in Mozambique: protocolAlexandra Wharton-Smith0Caterina Guinovart1Pedro Aide2Francisco Saute3Alfredo Mayor4Bryan Greenhouse5Baltazar Candrinho6Joshua L Proctor7Arantxa Roca-Feltrer8Clemente da Silva9Eduard Rovira-Vallbona10Craig Bonnington11Caitlin Bever12Arlindo Chidimatembue13Maria Rodrigues14Neide Canana15Paulo Arnaldo16Simone Boene17Sonia Enosse18Malaria Consortium, London, UKBarcelona Institute for Global Health, Hospital Clínic-Universitat de Barcelona, Barcelona, SpainCentro de Investigação em Saúde de Manhiça, Manhiça, Maputo, MozambiqueCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique9 Faculdade de Medicina, Universidade Eduardo Mondlane, Maputo, MozambiqueDepartment of Medicine, University of California San Francisco, San Francisco, California, USA7 National Malaria Control Program, Ministry of Health, Maputo, MozambiqueBill & Melinda Gates Foundation, Seattle, Washington, USAMalaria Consortium, London, UK1 Centro de Investigação em Saúde de Manhiça (CISM), Manhiça, Mozambique2 ISGlobal, Barcelona, SpainMalaria Consortium, London, UKBill & Melinda Gates Foundation, Seattle, Washington, USA1 Centro de Investigação em Saúde de Manhiça (CISM), Manhiça, MozambiqueMalaria Consortium, London, UKMalaria Consortium, London, UK4 Instituto Nacional de Saúde, Maputo, Mozambique1 Centro de Investigação em Saúde de Manhiça (CISM), Manhiça, MozambiqueMalaria Consortium, London, UKIntroduction Genomic data constitute a valuable adjunct to routine surveillance that can guide programmatic decisions to reduce the burden of infectious diseases. However, genomic capacities remain low in Africa. This study aims to operationalise a functional malaria molecular surveillance system in Mozambique for guiding malaria control and elimination.Methods and analyses This prospective surveillance study seeks to generate Plasmodium falciparum genetic data to (1) monitor molecular markers of drug resistance and deletions in rapid diagnostic test targets; (2) characterise transmission sources in low transmission settings and (3) quantify transmission levels and the effectiveness of antimalarial interventions. The study will take place across 19 districts in nine provinces (Maputo city, Maputo, Gaza, Inhambane, Niassa, Manica, Nampula, Zambézia and Sofala) which span a range of transmission strata, geographies and malaria intervention types. Dried blood spot samples and rapid diagnostic tests will be collected across the study districts in 2022 and 2023 through a combination of dense (all malaria clinical cases) and targeted (a selection of malaria clinical cases) sampling. Pregnant women attending their first antenatal care visit will also be included to assess their value for molecular surveillance. We will use a multiplex amplicon-based next-generation sequencing approach targeting informative single nucleotide polymorphisms, gene deletions and microhaplotypes. Genetic data will be incorporated into epidemiological and transmission models to identify the most informative relationship between genetic features, sources of malaria transmission and programmatic effectiveness of new malaria interventions. Strategic genomic information will be ultimately integrated into the national malaria information and surveillance system to improve the use of the genetic information for programmatic decision-making.Ethics and dissemination The protocol was reviewed and approved by the institutional (CISM) and national ethics committees of Mozambique (Comité Nacional de Bioética para Saúde) and Spain (Hospital Clinic of Barcelona). Project results will be presented to all stakeholders and published in open-access journals.Trial registration number NCT05306067.https://bmjopen.bmj.com/content/12/7/e063456.full |
| spellingShingle | Alexandra Wharton-Smith Caterina Guinovart Pedro Aide Francisco Saute Alfredo Mayor Bryan Greenhouse Baltazar Candrinho Joshua L Proctor Arantxa Roca-Feltrer Clemente da Silva Eduard Rovira-Vallbona Craig Bonnington Caitlin Bever Arlindo Chidimatembue Maria Rodrigues Neide Canana Paulo Arnaldo Simone Boene Sonia Enosse Prospective surveillance study to detect antimalarial drug resistance, gene deletions of diagnostic relevance and genetic diversity of Plasmodium falciparum in Mozambique: protocol BMJ Open |
| title | Prospective surveillance study to detect antimalarial drug resistance, gene deletions of diagnostic relevance and genetic diversity of Plasmodium falciparum in Mozambique: protocol |
| title_full | Prospective surveillance study to detect antimalarial drug resistance, gene deletions of diagnostic relevance and genetic diversity of Plasmodium falciparum in Mozambique: protocol |
| title_fullStr | Prospective surveillance study to detect antimalarial drug resistance, gene deletions of diagnostic relevance and genetic diversity of Plasmodium falciparum in Mozambique: protocol |
| title_full_unstemmed | Prospective surveillance study to detect antimalarial drug resistance, gene deletions of diagnostic relevance and genetic diversity of Plasmodium falciparum in Mozambique: protocol |
| title_short | Prospective surveillance study to detect antimalarial drug resistance, gene deletions of diagnostic relevance and genetic diversity of Plasmodium falciparum in Mozambique: protocol |
| title_sort | prospective surveillance study to detect antimalarial drug resistance gene deletions of diagnostic relevance and genetic diversity of plasmodium falciparum in mozambique protocol |
| url | https://bmjopen.bmj.com/content/12/7/e063456.full |
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