Human genetics and malaria resistance.
Ontology highlight
ABSTRACT:
SUBMITTER: Kariuki SN
PROVIDER: S-EPMC7271956 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:The high mortality and widespread impact of malaria have resulted in this disease being the strongest evolutionary selective force in recent human history, and genes that confer resistance to malaria provide some of the best-known case studies of strong positive selection in modern humans. I begin by reviewing JBS Haldane's initial contribution to the potential of malaria genetic resistance in humans. Further, I discuss the population genetics aspects of many of the variants, including globin, G6PD deficiency, Duffy, ovalocytosis, ABO and human leukocyte antigen variants. Many of the variants conferring resistance to malaria are 'loss-of-function' mutants and appear to be recent polymorphisms from the last 5000-10 000 years or less. I discuss estimation of selection coefficients from case-control data and make predictions about the change for S, C and G6PD-deficiency variants. In addition, I consider the predicted joint changes when the two β-globin alleles S and C are both variable in the same population and when there is a variation for α-thalassemia and S, two unlinked, but epistatic variants. As more becomes known about genes conferring genetic resistance to malaria in humans, population genetics approaches can contribute both to investigating past selection and predicting the consequences in future generations for these variants.
| S-EPMC3182497 | biostudies-other
Project description:The genetic determinants of resistance to mefloquine in malaria parasites are unclear. Some studies have implied that amplification of, or mutations in, the multidrug resistance gene pfmdr1 in Plasmodium falciparum may be involved. Using the rodent malaria model Plasmodium chabaudi, we investigated the role of the orthologue of this gene, pcmdr1, in a stable mefloquine-resistant mutant, AS(15MF/3), selected from a sensitive clone. pcmdr1 exists as a single copy gene on chromosome 12 of the sensitive clone. In AS(15MF/3), the gene was found to have undergone duplication, with one copy translocating to chromosome 4. mRNA levels of pcmdr1 were higher in the mutant than in the parent sensitive clone. A partial genetic map of the translocation showed that other genes in addition to pcmdr1 had been cotranslocated. The sequences of both copies of pcmdr1 of AS(15MF/3) were identical to that of the parent sensitive clone. A cross was made between AS(15MF/3) and an unrelated mefloquine-sensitive clone, AJ. Phenotypic and molecular analysis of progeny clones showed that duplication and overexpression of the pcmdr1 gene was an important determinant of resistance. However, not all mefloquine-resistant progeny contained the duplicated gene, showing that at least one other gene was involved in resistance.
| S-EPMC151772 | biostudies-literature
Project description:Examination of molecular basis of malaria resistance. Spleens from malaria resistant AcB55 and AcB61strains compared with A/J mice. Animals were sacrificed and spleens were rapidly frozen in liquid nitrogen, and subsequently stored at 80oC. Tissues were mechanically homogenized with a polytron and total cellular RNA was extracted using a commercially available reagent (TMTRIzol; Invitrogen). The poly-(A)+ fraction of the RNA was isolated by chromatography with oligo d(T) cellulose beads. For cDNA labeling, either 25 mg of total RNA or 2.5 mg of poly-(A) RNA was converted into cDNA using reverse transcriptase (RT; Super Script II, Invitrogen) and alternatively Cy5 or Cy3-labeled dCTP (1mM, Perkin Elmer-Cetus/NEN, Boston) in a reaction mixture containing 1.5 mL oligo (dT) (100pmol/ mL), 3 mL dNTP-dCTP (6.67mM each), 1 mL dCTP (2mM), 4 mL DTT (100mM), 8 mL 5 X RT Buffer (Invitrogen, California). The reactions were carried out at 42¼C for 3 hrs, after which the RNA was degraded by the addition of 0.5 mL RNase A (1 mg/mL) and 1.5 mL RNaseH 5 units/mL). Labeled cDNA was separated from unincorporated nucleotides (Qiagen column) and further concentrated by evaporation under vacuum. The arrays were pre-hybridized for 1-2hrs with DIGEasy hybridization buffer (Roche) containing 10ug/ml denatured salmon sperm DNA, and 10ug/ml yeast tRNA. The Cy5 and Cy3 labelled cDNAs were combined and hybridized in the same medium and incubated with the arrays for 16-18hrs at 37Co. Finally, the arrays were washed 3 x 10 mins in 0.1 x SSC (20 X SSC is 3M sodium chloride, 0.3 M sodium citrate, pH 7.0), 0.1%SDS at 50Co, and 4 x 3min in 0.1 x SSC at room temperature, and dried by centrifugation. Fluorescent array images were collected for both Cy3 and Cy5 with a ScanArray fluorescent scanner and image intensity data were extracted and analyzed with QuantArray 3.0 analysis software. Quantification data was imported in GeneSpring (Silicon Genetics). The import format was modified to maintain information relevant to user-contributed flagging as well as QC parameter furnished by the array manufacturer. Dye swap and Intensity-based normalization (Lowess) were performed using the default settings. Keywords: other
2003-10-06 | GSE709 | GEO
Project description:Sub-Saharan Africa has continued leading in prevalence and incidence of major infectious disease killers such as HIV/AIDS, tuberculosis, and malaria. Epidemiological triad of infectious diseases includes susceptible host, pathogen, and environment. It is imperative that all aspects of vertices of the infectious disease triad are analysed to better understand why this is so. Studies done to address this intriguing reality though have mainly addressed pathogen and environmental components of the triad. Africa is the most genetically diverse region of the world as well as being the origin of modern humans. Malaria is relatively an ancient infection in this region as compared to TB and HIV/AIDS; from the evolutionary perspective, we would draw lessons that this ancestrally unique population now under three important infectious diseases both ancient and exotic will be skewed into increased genetic diversity; moreover, other evolutionary forces are also still at play. Host genetic diversity resulting from many years of malaria infection has been well documented in this population; we are yet to account for genetic diversity from the trio of these infections. Effect of host genetics on treatment outcome has been documented. Host genetics of sub-Saharan African population and its implication to infectious diseases are an important aspect that this review seeks to address.
| S-EPMC4151494 | biostudies-literature
Project description:Vector control has been a key component in the fight against malaria for decades, and chemical insecticides are critical to the success of vector control programs worldwide. However, increasing resistance to insecticides threatens to undermine these efforts. Understanding the evolution and propagation of resistance is thus imperative to mitigating loss of intervention effectiveness. Additionally, accelerated research and development of new tools that can be deployed alongside existing vector control strategies is key to eradicating malaria in the near future. Methods such as gene drives that aim to genetically modify large mosquito populations in the wild to either render them refractory to malaria or impair their reproduction may prove invaluable tools. Mathematical models of gene flow in populations, which is the transfer of genetic information from one population to another through migration, can offer invaluable insight into the behavior and potential impact of gene drives as well as the spread of insecticide resistance in the wild. Here, we present the first multi-locus, agent-based model of vector genetics that accounts for mutations and a many-to-many mapping cardinality of genotypes to phenotypes to investigate gene flow, and the propagation of gene drives in Anopheline populations. This model is embedded within a large scale individual-based model of malaria transmission representative of a high burden, high transmission setting characteristic of the Sahel. Results are presented for the selection of insecticide-resistant vectors and the spread of resistance through repeated deployment of insecticide treated nets (ITNs), in addition to scenarios where gene drives act in concert with existing vector control tools such as ITNs. The roles of seasonality, spatial distribution of vector habitat and feed sites, and existing vector control in propagating alleles that confer phenotypic traits via gene drives that result in reduced transmission are explored. The ability to model a spectrum of vector species with different genotypes and phenotypes in the context of malaria transmission allows us to test deployment strategies for existing interventions that reduce the deleterious effects of resistance and allows exploration of the impact of new tools being proposed or developed.
| S-EPMC7449459 | biostudies-literature
Project description:Artemisinin resistance in Plasmodium falciparum threatens global efforts to control and eliminate malaria. Polymorphisms in the kelch domain-carrying protein K13 are associated with artemisinin resistance, but the underlying molecular mechanisms are unknown. We analyzed the in vivo transcriptomes of 1043 P. falciparum isolates from patients with acute malaria and found that artemisinin resistance is associated with increased expression of unfolded protein response (UPR) pathways involving the major PROSC and TRiC chaperone complexes. Artemisinin-resistant parasites also exhibit decelerated progression through the first part of the asexual intraerythrocytic development cycle. These findings suggest that artemisinin-resistant parasites remain in a state of decelerated development at the young ring stage, whereas their up-regulated UPR pathways mitigate protein damage caused by artemisinin. The expression profiles of UPR-related genes also associate with the geographical origin of parasite isolates, further suggesting their role in emerging artemisinin resistance in the Greater Mekong Subregion.
| S-EPMC5642863 | biostudies-literature
Project description:Despite significant progress in combating malaria in recent years the burden of severe disease and death due to Plasmodium infections remains a global public health concern. Only a fraction of infected people develops severe clinical syndromes motivating a longstanding search for genetic determinants of malaria severity. Strong genetic effects have been repeatedly ascribed to mutations and allelic variants of proteins expressed in red blood cells but the role of inflammatory response genes in disease pathogenesis has been difficult to discern. We revisited genetic evidence provided by inflammatory response genes that have been repeatedly associated to malaria, namely TNF, NOS2, IFNAR1, HMOX1, TLRs, CD36, and CD40LG. This highlighted specific genetic variants having opposing roles in the development of distinct malaria clinical outcomes and unveiled diverse levels of genetic heterogeneity that shaped the complex association landscape of inflammatory response genes with malaria. However, scrutinizing genetic effects of individual variants corroborates a pathogenesis model where pro-inflammatory genetic variants acting in early infection stages contribute to resolve infection but at later stages confer increased vulnerability to severe organ dysfunction driven by tissue inflammation. Human genetics studies are an invaluable tool to find genes and molecular pathways involved in the inflammatory response to malaria but their precise roles in disease pathogenesis are still unexploited. Genome editing in malaria experimental models and novel genotyping-by-sequencing techniques are promising approaches to delineate the relevance of inflammatory response gene variants in the natural history of infection thereby will offer new rational angles on adjuvant therapeutics for prevention and clinical management of severe malaria.
| S-EPMC6682681 | biostudies-literature
Project description:In the Greater Mekong Subregion, malaria cases have significantly decreased but little is known about the vectors or mechanisms responsible for residual malaria transmission. We analysed a total of 3920 Anopheles mosquitoes collected during the rainy and dry seasons from four ecological settings in Cambodia (villages, forested areas near villages, rubber tree plantations and forest sites). Using odor-baited traps, 81% of the total samples across all sites were collected in cow baited traps, although 67% of the samples attracted by human baited traps were collected in forest sites. Overall, 20% of collected Anopheles were active during the day, with increased day biting during the dry season. 3131 samples were identified morphologically as 14 different species, and a subset was also identified by DNA amplicon sequencing allowing determination of 29 Anopheles species. The investigation of well characterized insecticide mutations (ace-1, kdr, and rdl genes) indicated that individuals carried mutations associated with response to all the different classes of insecticides. There also appeared to be a non-random association between mosquito species and insecticide resistance with Anopheles peditaeniatus exhibiting nearly fixed mutations. Molecular screening for Plasmodium sp. presence indicated that 3.6% of collected Anopheles were positive, most for P. vivax followed by P. falciparum. These results highlight some of the key mechanisms driving residual human malaria transmission in Cambodia, and illustrate the importance of diverse collection methods, sites and seasons to avoid bias and better characterize Anopheles mosquito ecology in Southeast Asia.
| S-EPMC7979810 | biostudies-literature
Project description:BACKGROUND:Anopheles funestus is among the major malaria vectors in Kenya and sub-Saharan Africa and has been recently implicated in persistent malaria transmission. However, its ecology and genetic diversity remain poorly understood in Kenya. METHODS:Using 16 microsatellite loci, we examined the genetic structure of An. funestus sampled from 11 locations (n = 426 individuals) across a wide geographical range in Kenya spanning coastal, western and Rift Valley areas. RESULTS:Kenyan An. funestus resolved as three genetically distinct clusters. The largest cluster (FUN1) broadly included samples from western and Rift Valley areas of Kenya with two clusters identified from coastal Kenya (FUN2 and FUN3), not previously reported. Geographical distance had no effect on population differentiation of An. funestus. We found a significant variation in the mean Plasmodium infectivity between the clusters (?2 = 12.1, df = 2, P = 0.002) and proportional to the malaria prevalence in the different risk zones of Kenya. Notably, there was variation in estimated effective population sizes between the clusters, suggesting possible differential impact of anti-vector interventions in represented areas. CONCLUSIONS:Heterogeneity among Kenyan populations of An. funestus will impact malaria vector control with practical implications for the development of gene-drive technologies. The difference in Plasmodium infectivity and effective population size between the clusters could suggest potential variation in phenotypic characteristics relating to competence or insecticide resistance. This is worth examining in future studies.
| S-EPMC6323828 | biostudies-other
Project description:Cerebral malaria (CM) is one of the most severe complications of malaria infection. There is evidence that repeated parasite exposure promotes resistance against CM, as indicated by the low incidence of CM in adults in malaria-endemic regions. However, the immunological basis of this infection-induced resistance remains poorly understood. Here, a microarray study done utilising the tractable Plasmodium berghei ANKA model of experimental cerebral malaria (ECM), we show that three rounds of infection and drug-cure protects against the development of ECM during a subsequent fourth infection.
2019-02-19 | E-MTAB-5513 | biostudies-arrayexpress