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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 i...

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Autores principales: Mayor, Alfredo, da Silva, Clemente, Rovira-Vallbona, Eduard, Roca-Feltrer, Arantxa, Bonnington, Craig, Wharton-Smith, Alexandra, Greenhouse, Bryan, Bever, Caitlin, Chidimatembue, Arlindo, Guinovart, Caterina, Proctor, Joshua L, Rodrigues, Maria, Canana, Neide, Arnaldo, Paulo, Boene, Simone, Aide, Pedro, Enosse, Sonia, Saute, Francisco, Candrinho, Baltazar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274532/
https://www.ncbi.nlm.nih.gov/pubmed/35820756
http://dx.doi.org/10.1136/bmjopen-2022-063456
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author Mayor, Alfredo
da Silva, Clemente
Rovira-Vallbona, Eduard
Roca-Feltrer, Arantxa
Bonnington, Craig
Wharton-Smith, Alexandra
Greenhouse, Bryan
Bever, Caitlin
Chidimatembue, Arlindo
Guinovart, Caterina
Proctor, Joshua L
Rodrigues, Maria
Canana, Neide
Arnaldo, Paulo
Boene, Simone
Aide, Pedro
Enosse, Sonia
Saute, Francisco
Candrinho, Baltazar
author_facet Mayor, Alfredo
da Silva, Clemente
Rovira-Vallbona, Eduard
Roca-Feltrer, Arantxa
Bonnington, Craig
Wharton-Smith, Alexandra
Greenhouse, Bryan
Bever, Caitlin
Chidimatembue, Arlindo
Guinovart, Caterina
Proctor, Joshua L
Rodrigues, Maria
Canana, Neide
Arnaldo, Paulo
Boene, Simone
Aide, Pedro
Enosse, Sonia
Saute, Francisco
Candrinho, Baltazar
author_sort Mayor, Alfredo
collection PubMed
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.
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spelling pubmed-92745322022-07-28 Prospective surveillance study to detect antimalarial drug resistance, gene deletions of diagnostic relevance and genetic diversity of Plasmodium falciparum in Mozambique: protocol Mayor, Alfredo da Silva, Clemente Rovira-Vallbona, Eduard Roca-Feltrer, Arantxa Bonnington, Craig Wharton-Smith, Alexandra Greenhouse, Bryan Bever, Caitlin Chidimatembue, Arlindo Guinovart, Caterina Proctor, Joshua L Rodrigues, Maria Canana, Neide Arnaldo, Paulo Boene, Simone Aide, Pedro Enosse, Sonia Saute, Francisco Candrinho, Baltazar BMJ Open Infectious Diseases 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. BMJ Publishing Group 2022-07-11 /pmc/articles/PMC9274532/ /pubmed/35820756 http://dx.doi.org/10.1136/bmjopen-2022-063456 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Infectious Diseases
Mayor, Alfredo
da Silva, Clemente
Rovira-Vallbona, Eduard
Roca-Feltrer, Arantxa
Bonnington, Craig
Wharton-Smith, Alexandra
Greenhouse, Bryan
Bever, Caitlin
Chidimatembue, Arlindo
Guinovart, Caterina
Proctor, Joshua L
Rodrigues, Maria
Canana, Neide
Arnaldo, Paulo
Boene, Simone
Aide, Pedro
Enosse, Sonia
Saute, Francisco
Candrinho, Baltazar
Prospective surveillance study to detect antimalarial drug resistance, gene deletions of diagnostic relevance and genetic diversity of Plasmodium falciparum in Mozambique: protocol
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
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274532/
https://www.ncbi.nlm.nih.gov/pubmed/35820756
http://dx.doi.org/10.1136/bmjopen-2022-063456
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