An algorithm based on molecular protocols to improve the detection of Plasmodium in autochthonous malarial areas in the Atlantic Forest biome
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista do Instituto de Medicina Tropical de São Paulo |
Texto Completo: | https://www.revistas.usp.br/rimtsp/article/view/195400 |
Resumo: | Malaria is the most important vector-borne disease in the world and a challenge for control programs. In Brazil, 99% of cases occur in the Amazon region. In the extra-Amazonian region, a non-endemic area, epidemiological surveillance focuses on imported malaria and on autochthonous outbreaks, including cases with mild symptoms and low parasitemia acquired in the Atlantic Forest biome. In this scenario, cases are likely to be underreported, since submicroscopic parasitemias are not detected by thick blood smear, considered the reference test. Molecular tests are more sensitive, detecting asymptomatic individuals and mixed infections. The aim of this study was to propose a more efficient alternative to detect asymptomatic individuals living in areas of low malaria endemicity, as they are reservoirs of Plasmodium that maintain transmission locally. In total, 955 blood samples from residents of 16 municipalities with autochthonous malaria outbreaks in the Sao Paulo State were analyzed; 371 samples were collected in EDTA tubes and 584 in filter paper. All samples were initially screened by a genus-specific qPCR targeting ssrRNA genes (limit of detection of 1 parasite/µL). Then, positive samples were subjected to a nested PCR targeting ssrRNA and dihydrofolate reductase-thymidylate synthase genes (limit of detection of 10 parasites/µL) to determine Plasmodium species. The results showed a statistically significant difference (K = 0.049; p < 0.0001) between microscopy positivity (6.9%) and qPCR (22.9%) for EDTA-blood samples. Conversely, for samples collected in filter paper, no statistical difference was observed, with 2.6% positivity by thick blood smear and 3.1% for qPCR (K = 0.036; p = 0.7). Samples positive by qPCR were assayed by a species-specific nested PCR that was in turn positive in 26% of samples (16 P. vivax and 4 P. malariae ). The results showed that molecular protocols applied to blood samples from residents in areas with autochthonous transmission of malaria were useful to detect asymptomatic patients who act as a source of transmission. The results showed that the genus-specific qPCR was useful for screening positives, with the subsequent identification of species by nested PCR. Additional improvements, such as standardization of blood plotting on filter paper and a more sensitive protocol for species determination, are essential. The qPCR-based algorithm for screening positives followed by nested PCR will contribute to more efficient control of malaria transmission, offering faster and more sensitive tools to detect asymptomatic Plasmodium reservoirs. |
id |
IMT-1_a60054d6415457ed300ba72628ba7c7f |
---|---|
oai_identifier_str |
oai:revistas.usp.br:article/195400 |
network_acronym_str |
IMT-1 |
network_name_str |
Revista do Instituto de Medicina Tropical de São Paulo |
repository_id_str |
|
spelling |
An algorithm based on molecular protocols to improve the detection of Plasmodium in autochthonous malarial areas in the Atlantic Forest biomeMalariaPolymerase chain reactionPlasmodium vivaxPlasmodium malariaeAsymptomatic infectionsMalaria is the most important vector-borne disease in the world and a challenge for control programs. In Brazil, 99% of cases occur in the Amazon region. In the extra-Amazonian region, a non-endemic area, epidemiological surveillance focuses on imported malaria and on autochthonous outbreaks, including cases with mild symptoms and low parasitemia acquired in the Atlantic Forest biome. In this scenario, cases are likely to be underreported, since submicroscopic parasitemias are not detected by thick blood smear, considered the reference test. Molecular tests are more sensitive, detecting asymptomatic individuals and mixed infections. The aim of this study was to propose a more efficient alternative to detect asymptomatic individuals living in areas of low malaria endemicity, as they are reservoirs of Plasmodium that maintain transmission locally. In total, 955 blood samples from residents of 16 municipalities with autochthonous malaria outbreaks in the Sao Paulo State were analyzed; 371 samples were collected in EDTA tubes and 584 in filter paper. All samples were initially screened by a genus-specific qPCR targeting ssrRNA genes (limit of detection of 1 parasite/µL). Then, positive samples were subjected to a nested PCR targeting ssrRNA and dihydrofolate reductase-thymidylate synthase genes (limit of detection of 10 parasites/µL) to determine Plasmodium species. The results showed a statistically significant difference (K = 0.049; p < 0.0001) between microscopy positivity (6.9%) and qPCR (22.9%) for EDTA-blood samples. Conversely, for samples collected in filter paper, no statistical difference was observed, with 2.6% positivity by thick blood smear and 3.1% for qPCR (K = 0.036; p = 0.7). Samples positive by qPCR were assayed by a species-specific nested PCR that was in turn positive in 26% of samples (16 P. vivax and 4 P. malariae ). The results showed that molecular protocols applied to blood samples from residents in areas with autochthonous transmission of malaria were useful to detect asymptomatic patients who act as a source of transmission. The results showed that the genus-specific qPCR was useful for screening positives, with the subsequent identification of species by nested PCR. Additional improvements, such as standardization of blood plotting on filter paper and a more sensitive protocol for species determination, are essential. The qPCR-based algorithm for screening positives followed by nested PCR will contribute to more efficient control of malaria transmission, offering faster and more sensitive tools to detect asymptomatic Plasmodium reservoirs.Universidade de São Paulo. Instituto de Medicina Tropical de São Paulo2022-05-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/rimtsp/article/view/19540010.1590/S1678-9946202264018 Revista do Instituto de Medicina Tropical de São Paulo; Vol. 64 (2022); e18Revista do Instituto de Medicina Tropical de São Paulo; Vol. 64 (2022); e18Revista do Instituto de Medicina Tropical de São Paulo; v. 64 (2022); e181678-99460036-4665reponame:Revista do Instituto de Medicina Tropical de São Pauloinstname:Instituto de Medicina Tropical (IMT)instacron:IMTenghttps://www.revistas.usp.br/rimtsp/article/view/195400/180484Copyright (c) 2022 Maria de Lourdes Rego Neves Farinas, Mariana Aschar, Maria de Jesus Costa-Nascimento, Silvia Maria Di Santihttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessFarinas, Maria de Lourdes Rego Neves Aschar, Mariana Costa-Nascimento, Maria de Jesus Santi, Silvia Maria Di 2022-10-10T13:01:46Zoai:revistas.usp.br:article/195400Revistahttp://www.revistas.usp.br/rimtsp/indexPUBhttps://www.revistas.usp.br/rimtsp/oai||revimtsp@usp.br1678-99460036-4665opendoar:2022-12-13T16:53:02.019305Revista do Instituto de Medicina Tropical de São Paulo - Instituto de Medicina Tropical (IMT)true |
dc.title.none.fl_str_mv |
An algorithm based on molecular protocols to improve the detection of Plasmodium in autochthonous malarial areas in the Atlantic Forest biome |
title |
An algorithm based on molecular protocols to improve the detection of Plasmodium in autochthonous malarial areas in the Atlantic Forest biome |
spellingShingle |
An algorithm based on molecular protocols to improve the detection of Plasmodium in autochthonous malarial areas in the Atlantic Forest biome Farinas, Maria de Lourdes Rego Neves Malaria Polymerase chain reaction Plasmodium vivax Plasmodium malariae Asymptomatic infections |
title_short |
An algorithm based on molecular protocols to improve the detection of Plasmodium in autochthonous malarial areas in the Atlantic Forest biome |
title_full |
An algorithm based on molecular protocols to improve the detection of Plasmodium in autochthonous malarial areas in the Atlantic Forest biome |
title_fullStr |
An algorithm based on molecular protocols to improve the detection of Plasmodium in autochthonous malarial areas in the Atlantic Forest biome |
title_full_unstemmed |
An algorithm based on molecular protocols to improve the detection of Plasmodium in autochthonous malarial areas in the Atlantic Forest biome |
title_sort |
An algorithm based on molecular protocols to improve the detection of Plasmodium in autochthonous malarial areas in the Atlantic Forest biome |
author |
Farinas, Maria de Lourdes Rego Neves |
author_facet |
Farinas, Maria de Lourdes Rego Neves Aschar, Mariana Costa-Nascimento, Maria de Jesus Santi, Silvia Maria Di |
author_role |
author |
author2 |
Aschar, Mariana Costa-Nascimento, Maria de Jesus Santi, Silvia Maria Di |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Farinas, Maria de Lourdes Rego Neves Aschar, Mariana Costa-Nascimento, Maria de Jesus Santi, Silvia Maria Di |
dc.subject.por.fl_str_mv |
Malaria Polymerase chain reaction Plasmodium vivax Plasmodium malariae Asymptomatic infections |
topic |
Malaria Polymerase chain reaction Plasmodium vivax Plasmodium malariae Asymptomatic infections |
description |
Malaria is the most important vector-borne disease in the world and a challenge for control programs. In Brazil, 99% of cases occur in the Amazon region. In the extra-Amazonian region, a non-endemic area, epidemiological surveillance focuses on imported malaria and on autochthonous outbreaks, including cases with mild symptoms and low parasitemia acquired in the Atlantic Forest biome. In this scenario, cases are likely to be underreported, since submicroscopic parasitemias are not detected by thick blood smear, considered the reference test. Molecular tests are more sensitive, detecting asymptomatic individuals and mixed infections. The aim of this study was to propose a more efficient alternative to detect asymptomatic individuals living in areas of low malaria endemicity, as they are reservoirs of Plasmodium that maintain transmission locally. In total, 955 blood samples from residents of 16 municipalities with autochthonous malaria outbreaks in the Sao Paulo State were analyzed; 371 samples were collected in EDTA tubes and 584 in filter paper. All samples were initially screened by a genus-specific qPCR targeting ssrRNA genes (limit of detection of 1 parasite/µL). Then, positive samples were subjected to a nested PCR targeting ssrRNA and dihydrofolate reductase-thymidylate synthase genes (limit of detection of 10 parasites/µL) to determine Plasmodium species. The results showed a statistically significant difference (K = 0.049; p < 0.0001) between microscopy positivity (6.9%) and qPCR (22.9%) for EDTA-blood samples. Conversely, for samples collected in filter paper, no statistical difference was observed, with 2.6% positivity by thick blood smear and 3.1% for qPCR (K = 0.036; p = 0.7). Samples positive by qPCR were assayed by a species-specific nested PCR that was in turn positive in 26% of samples (16 P. vivax and 4 P. malariae ). The results showed that molecular protocols applied to blood samples from residents in areas with autochthonous transmission of malaria were useful to detect asymptomatic patients who act as a source of transmission. The results showed that the genus-specific qPCR was useful for screening positives, with the subsequent identification of species by nested PCR. Additional improvements, such as standardization of blood plotting on filter paper and a more sensitive protocol for species determination, are essential. The qPCR-based algorithm for screening positives followed by nested PCR will contribute to more efficient control of malaria transmission, offering faster and more sensitive tools to detect asymptomatic Plasmodium reservoirs. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-16 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rimtsp/article/view/195400 10.1590/S1678-9946202264018 |
url |
https://www.revistas.usp.br/rimtsp/article/view/195400 |
identifier_str_mv |
10.1590/S1678-9946202264018 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rimtsp/article/view/195400/180484 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Instituto de Medicina Tropical de São Paulo |
publisher.none.fl_str_mv |
Universidade de São Paulo. Instituto de Medicina Tropical de São Paulo |
dc.source.none.fl_str_mv |
Revista do Instituto de Medicina Tropical de São Paulo; Vol. 64 (2022); e18 Revista do Instituto de Medicina Tropical de São Paulo; Vol. 64 (2022); e18 Revista do Instituto de Medicina Tropical de São Paulo; v. 64 (2022); e18 1678-9946 0036-4665 reponame:Revista do Instituto de Medicina Tropical de São Paulo instname:Instituto de Medicina Tropical (IMT) instacron:IMT |
instname_str |
Instituto de Medicina Tropical (IMT) |
instacron_str |
IMT |
institution |
IMT |
reponame_str |
Revista do Instituto de Medicina Tropical de São Paulo |
collection |
Revista do Instituto de Medicina Tropical de São Paulo |
repository.name.fl_str_mv |
Revista do Instituto de Medicina Tropical de São Paulo - Instituto de Medicina Tropical (IMT) |
repository.mail.fl_str_mv |
||revimtsp@usp.br |
_version_ |
1798951653786779648 |