Article ; Online: Ultrasensitive qPCR-Based Detection of Plasmodium falciparum in Pregnant Women Using Dried Blood or Whole Blood Pellet Samples Processed through Different DNA Extraction Methods.
The American journal of tropical medicine and hygiene
2021 Volume 106, Issue 3, Page(s) 846–849
Abstract: Highly sensitive molecular techniques for the detection of low-level Plasmodium falciparum parasitemia are highly useful for various clinical and epidemiological studies. However, differences in how blood samples are preserved, the quantity of blood ... ...
Abstract | Highly sensitive molecular techniques for the detection of low-level Plasmodium falciparum parasitemia are highly useful for various clinical and epidemiological studies. However, differences in how blood samples are preserved, the quantity of blood stored, as well as genomic DNA extraction methods used may compromise the potential usefulness of these methodologies. This study compared diagnostic sensitivity based on microscopy and malaria rapid diagnostic tests (mRDTs), with quantitative polymerase chain reaction (qPCR) P. falciparum positivity of dried blood spots (DBS) or whole blood pellets (WBP) from pregnant women using different DNA extraction protocols (Chelex-saponin or a commercial kit). Samples from 129 pregnant women were analyzed, of which 13 were P. falciparum positive by mRDT and 5 by microscopy. By using extraction kit on WBP and on DBS, qPCR positivity was 27 (20.9%) and 16 (12.4%), respectively, whereas Chelex extraction on DBS only resulted in 4 (3.1%) P. falciparum positive samples. Thus, extraction using commercial kits greatly improve the likelihood of detecting P. falciparum infections. |
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MeSH term(s) | DNA ; Female ; Humans ; Malaria/diagnosis ; Malaria, Falciparum/diagnosis ; Plasmodium falciparum/genetics ; Pregnancy ; Pregnant Women ; Sensitivity and Specificity |
Chemical Substances | DNA (9007-49-2) |
Language | English |
Publishing date | 2021-12-06 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2942-7 |
ISSN | 1476-1645 ; 0002-9637 |
ISSN (online) | 1476-1645 |
ISSN | 0002-9637 |
DOI | 10.4269/ajtmh.21-0496 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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