| Literature DB >> 32103124 |
George M Bwire1, Billy Ngasala2, Wigilya P Mikomangwa3, Manase Kilonzi3, Appolinary A R Kamuhabwa3.
Abstract
In Tanzania, chloroquine was replaced by sulphadoxine- pyrimethamine (SP) as a first-line for treatment of uncomplicated malaria. Due to high resistance in malaria parasites, SP lasted for only 5 years and by the end of 2006 it was replaced with the current artemisinin combination therapy. We therefore, set a study to determine the current genotypic mutations associated with Plasmodium falciparum resistance to artemisinin, partner drugs and chloroquine. Parasites DNA were extracted from dried blood spots collected by finger-prick from Tanzanian malaria infected patients. DNA were sequenced using MiSeq then genotypes were translated into drug resistance haplotypes at Wellcome Sanger Institute, UK. About 422 samples were successful sequenced for K13 gene (marker for artemisinin resistance), the wild type (WT) was found in 391 samples (92.7%) whereby 31 samples (7.3%) had mutations in K13 gene. Of 31 samples with mutations, one sample had R561H, a mutation that has been associated with delayed parasite clearance in Southeast Asia, another sample had A578S, a mutation not associated with artemisinin whilst 29 samples had K13 novel mutations. There were no mutations in PGB, EXO, P23_BP and PfMDR1 at position 86 and 1246 (markers for resistance in artemisinin partner drugs) but 270 samples (60.4%) had mutations at PfMDR1 Y184F. Additionally, genotyped PfCRT at positions 72-76 (major predictors for chroquine resistance), found WT gene in 443 out of 444 samples (99.8%). In conclusion, this study found mutations in K13-propeller gene and high prevalence of chloroquine susceptible P. falciparum in Southeast of Tanzania.Entities:
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Year: 2020 PMID: 32103124 PMCID: PMC7044163 DOI: 10.1038/s41598-020-60549-7
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Frequency of K13 propeller mutations.
| Frequency n (%) | WHO classification of 2018 | ||||
|---|---|---|---|---|---|
| Validated | Not Associated | Candidate | Not yet classified | ||
| WT | 391 (92.7) | NA | NA | NA | NA |
| A359T | 1 (0.2) | √ | |||
| A427S | 1 (0.2) | √ | |||
| C469C | 4 (0.9) | √ | |||
| G538G | 1 (0.2) | √ | |||
| I354V | 1 (0.2) | √ | |||
| I526I | 1 (0.2) | √ | |||
| P417P | 1 (0.2) | √ | |||
| S624S | 1 (0.2) | √ | |||
| V487V | 1 (0.2) | √ | |||
| WT A486A | 1 (0.2) | √ | |||
| WT C469C | 1 (0.2) | √ | |||
| WT C473C | 1 (0.2) | √ | |||
| WT G449C | 1 (0.2) | √ | |||
| WT D648G | 1 (0.2) | √ | |||
| WT G638R | 1 (0.2) | √ | |||
| WT P413P | 1 (0.2) | √ | |||
| WT P417P | 1 (0.2) | √ | |||
| WT R471S | 1 (0.2) | √ | |||
| WT R561H | 1 (0.2) | √ | |||
| WT S485N | 1 (0.2) | √ | |||
| WT S624S | 2 (0.4) | √ | |||
| WT V487V | 2 (0.4) | √ | |||
| WT V666V | 1 (0.2) | √ | |||
| WT A578S WT W565C | 1 (0.2) | * | √ | ||
| WT S624S WT F439S WT P417P | 1 (0.2) | √ | |||
| Total | 422 | NA | NA | NA | NA |
NA: Not Applicable; √Indicates the appropriate classification category, *within a clone (WT A578S WT W565C), A578S has been classified by WHO as not associated with ART resistance.
Frequency of PGB, EXO/P23_BP and PfMDR1 mutations.
| Drug | Gene | Gene status | |
|---|---|---|---|
| WT, n (%) | Mutation, n (%) | ||
| Artemisinin | 447 (100) | 0 | |
| Piperaquine | 446 (100) | 0 | |
| 336 (100) | 0 | ||
Lumefantrine Mefloquine Amodiaquine Chloroquine | 436 (100) | 0 | |
| 177 (39.6) | 270 (60.4) | ||
| 447 (100) | 0 | ||
Mutation at MDR1 86 is associated with chloroquine resistance while limited evidences associate mutations at 86 and 1246 with lumefantrine, mefloquine and amodiaquine resistance.
Frequency of PfCRT polymorphisms.
| Gene (AA position) | Resistant n (%) | Heterozygous n (%) | Susceptible n (%) |
|---|---|---|---|
| 1 (0.2) | — | 442 (99.8) | |
| 1 (0.2) | — | 442 (99.8) | |
| 0 | — | 444 (100) | |
| 0 | — | 444 (100) | |
| 0 | — | 445 (100) | |
| 1 (0.2) | 3 (0.6) | 441 (99.1) | |
| 1 (0.2) | 2 (0.5) | 440 (99.3) | |
| 0 | — | 445 (100) | |
| 0 | — | 443 (100) | |
| 1 (0.2) | 2 (0.5) | 442 (99.3) |
AA: Amino Acid; -:Not detected.
Note: Differences in the total number of genotypes were due to missing genotypes in some samples. If two alleles were detected, then it was assigned to heterozygous call category.
Figure 1A map of the study site. Left is the map of Kibiti District while on the right side is the map of Tanzania, located in Eastern Africa. Tanzania is bordered by the Indian Ocean, Kenya and Uganda to the north, Rwanda, Democratic Republic of the Congo, and Burundi to the east, and Zambia, Malawi, and Mozambique to the south (not shown on the map). The study site map was originally generated using ArcGIS software version 10.7.1 (https://www.esri.uconn.edu/software/arcgis-student/).