Molecular detection of human Plasmodium species using a multiplex real time PCR Article Swipe
Yassamine Lazrek
,
Célia Florimond
,
Béatrice Volney
,
Manon Discours
,
Émilie Mosnier
,
Sandrine Houzé
,
Stéphane Pelleau
,
L. Musset
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-023-38621-9
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-023-38621-9
Molecular detection methods have revealed higher sensitivity and specificity than conventional microscopy or rapid diagnostic tests for malaria diagnosis. In this study, we implemented, evaluated and validated according to the ISO 15,189 requirements, a multiplex real-time PCR assay to detect and identify the five human malaria parasites. DNA samples were extracted from whole blood or dried blood spots drawn from patients. Based on the External Quality Assessment (whole blood), this method shows 100% sensitivity and specificity. This PCR detected P. vivax up to 0.25 p/µl, P. falciparum and P. knowlesi up to 0.5 p/µl, P. ovale up to 1 p/µl and P. malariae up to 5 p/µl of blood. From blood spots (extraction from four punches), it detected P. vivax at 5 p/µl, P. falciparum , P. ovale and P. knowlesi at 20 p/µl and P. malariae at 125 p/µl. In conclusion, this quantitative PCR shows excellent performance, is easy to use and DNA saver. It is especially useful to actively screen large population groups and identify the five human malaria parasites in a context of low malaria transmission.
Related Topics
Concepts
Plasmodium malariae
Multiplex
Malaria
Plasmodium knowlesi
Plasmodium vivax
Virology
DNA extraction
Plasmodium ovale
Biology
Context (archaeology)
Plasmodium falciparum
Population
Whole blood
Polymerase chain reaction
Human blood
Multiplex polymerase chain reaction
Real-time polymerase chain reaction
Molecular biology
Medicine
Immunology
Bioinformatics
Genetics
Gene
Physiology
Paleontology
Environmental health
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-023-38621-9
- https://www.nature.com/articles/s41598-023-38621-9.pdf
- OA Status
- gold
- Cited By
- 23
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4384342746
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4384342746Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-023-38621-9Digital Object Identifier
- Title
-
Molecular detection of human Plasmodium species using a multiplex real time PCRWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-07-14Full publication date if available
- Authors
-
Yassamine Lazrek, Célia Florimond, Béatrice Volney, Manon Discours, Émilie Mosnier, Sandrine Houzé, Stéphane Pelleau, L. MussetList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-023-38621-9Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-023-38621-9.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-023-38621-9.pdfDirect OA link when available
- Concepts
-
Plasmodium malariae, Multiplex, Malaria, Plasmodium knowlesi, Plasmodium vivax, Virology, DNA extraction, Plasmodium ovale, Biology, Context (archaeology), Plasmodium falciparum, Population, Whole blood, Polymerase chain reaction, Human blood, Multiplex polymerase chain reaction, Real-time polymerase chain reaction, Molecular biology, Medicine, Immunology, Bioinformatics, Genetics, Gene, Physiology, Paleontology, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
23Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 14, 2024: 9Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5029962261 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I4210105977 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
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| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.9788503 |
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| citation_normalized_percentile.is_in_top_10_percent | True |