Environmental, pharmacological and genetic influences on the spread of drug-resistant malaria

Plasmodium falciparum malaria is subject to artificial selection from antimalarial drugs that select for drug-resistant parasites. We describe and apply a flexible new approach to investigate how epistasis, inbreeding, selection heterogeneity and multiple simultaneous drug deployments interact to influence the spread of drug-resistant malaria. This framework recognizes that different human 'environments' within which treatment may occur (such as semi- and non-immune humans taking full or partial drug courses) influence the genetic interactions between parasite loci involved in resistance. Our model provides an explanation for how the rate of spread varies according to different malaria transmission intensities, why resistance might stabilize at intermediate frequencies and also identifies several factors that influence the decline of resistance after a drug is removed. Results suggest that studies based on clinical outcomes might overestimate the spread of resistant parasites, especially in high-transmission areas. We show that when transmission decreases, prevalence might decrease without a corresponding change in frequency of resistance and that this relationship is heavily influenced by the extent of linkage disequilibrium between loci. This has important consequences on the interpretation of data from areas where control is being successful and suggests that reducing transmission might have less impact on the spread of resistance than previously expected.     

Models to understand the population-level impact of mixed strain M. tuberculosis infections

Over the past decade, numerous studies have identified tuberculosis patients in whom more than one distinct strain of Mycobacterium tuberculosis is present. While it has been shown that these mixed strain infections can reduce the probability of treatment success for individuals simultaneously harboring both drug-sensitive and drug-resistant strains, it is not yet known if and how this phenomenon impacts the long-term dynamics for tuberculosis within communities. Strain-specific differences in immunogenicity and associations with drug resistance suggest that a better understanding of how strains compete within hosts will be necessary to project the effects of mixed strain infections on the future burden of drug-sensitive and drug-resistant tuberculosis. In this paper, we develop a modeling framework that allows us to investigate mechanisms of strain competition within hosts and to assess the long-term effects of such competition on the ecology of strains in a population. These models permit us to systematically evaluate the importance of unknown parameters and to suggest priority areas for future experimental research. Despite the current scarcity of data to inform the values of several model parameters, we are able to draw important qualitative conclusions from this work. We find that mixed strain infections may promote the coexistence of drug-sensitive and drug-resistant strains in two ways. First, mixed strain infections allow a strain with a lower basic reproductive number to persist in a population where it would otherwise be outcompeted if has competitive advantages within a co-infected host. Second, some individuals progressing to phenotypically drug-sensitive tuberculosis from a state of mixed drug-sensitive and drug-resistant infection may retain small subpopulations of drug-resistant bacteria that can flourish once the host is treated with antibiotics. We propose that these types of mixed infections, by increasing the ability of low fitness drug-resistant strains to persist, may provide opportunities for compensatory mutations to accumulate and for relatively fit, highly drug-resistant strains of M. tuberculosis to emerge.     

Sentinel network for monitoring in vitro susceptibility of Plasmodium falciparum to antimalarial drugs in Colombia: a proof of concept

Drug resistance is one of the principal obstacles blocking worldwide malaria control. In Colombia, malaria remains a major public health concern and drug-resistant parasites have been reported. In vitro drug susceptibility assays are a useful tool for monitoring the emergence and spread of drug-resistant Plasmodium falciparum. The present study was conducted as a proof of concept for an antimalarial drug resistance surveillance network based on in vitro susceptibility testing in Colombia. Sentinel laboratories were set up in three malaria endemic areas. The enzyme linked immunosorbent assay-histidine rich protein 2 and schizont maturation methods were used to assess the susceptibility of fresh P. falciparum isolates to six antimalarial drugs. This study demonstrates that an antimalarial drug resistance surveillance network based on in vitro methods is feasible in the field with the participation of a research institute, local health institutions and universities. It could also serve as a model for a regional surveillance network. Preliminary susceptibility results showed widespread chloroquine resistance, which was consistent with previous reports for the Pacific region. However, high susceptibility to dihydroartemisinin and lumefantrine compounds, currently used for treatment in the country, was also reported. The implementation process identified critical points and opportunities for the improvement of network sustainability strategies.     

Existing Infection Facilitates Establishment and Density of Malaria Parasites in Their Mosquito Vector

Very little is known about how vector-borne pathogens interact within their vector and how this impacts transmission. Here we show that mosquitoes can accumulate mixed strain malaria infections after feeding on multiple hosts. We found that parasites have a greater chance of establishing and reach higher densities if another strain is already present in a mosquito. Mixed infections contained more parasites but these larger populations did not have a detectable impact on vector survival. Together these results suggest that mosquitoes taking multiple infective bites may disproportionally contribute to malaria transmission. This will increase rates of mixed infections in vertebrate hosts, with implications for the evolution of parasite virulence and the spread of drug-resistant strains. Moreover, control measures that reduce parasite prevalence in vertebrate hosts will reduce the likelihood of mosquitoes taking multiple infective feeds, and thus disproportionally reduce transmission. More generally, our study shows that the types of strain interactions detected in vertebrate hosts cannot necessarily be extrapolated to vectors.     

Modelling a predictable disaster: the rise and spread of drug-resistantmalaria

The evolution of drug-resistant malaria is one of the most important factors thwarting the development of effective malaria disease control. Several mathematical models have been developed to try and understand the dynamics of this process and how it can be slowed or even avoided. Much of the mathematics describing the evolution of drug resistance in malaria focuses on the derivation and mechanics of the calculations, which can make it inaccessible to experimentalists and field workers. In this article, Ian Hastings and Umberto D'Alessandro describe general model results without recourse to mathematical details, identify the factors that should be considered in the design of drug control programmes, and discuss the crucial parameters that remain unknown and need to be measured in the field or laboratory.     

Optimal control strategies and cost-effectiveness analysis of a malaria model

The aim of this paper is to investigate the effectiveness and cost-effectiveness of three malaria preventive measures (use of treated bednets, spray of insecticides and a possible treatment of infective humans that blocks transmission to mosquitoes). For this, we consider a mathematical model for the transmission dynamics of the disease that includes these measures. We first consider the constant control parameters’ case, we calculate the basic reproduction number and investigate the existence and stability of equilibria; the model is found to exhibit backward bifurcation. We then assess the relative impact of each of the constant control parameters measures by calculating the sensitivity index of the basic reproductive number to the model's parameters. In the time-dependent constant control case, we use Pontryagin's Maximum Principle to derive necessary conditions for the optimal control of the disease. We also calculate the Infection Averted Ratio (IAR) and the Incremental Cost-Effectiveness Ratio (ICER) to investigate the cost-effectiveness of all possible combinations of the three control measures. One of our findings is that the most cost-effective strategy for malaria control, is the combination of the spray of insecticides and treatment of infective individuals. This strategy requires a 100% effort in both treatment (for 20 days) and spray of insecticides (for 57 days). In practice, this will be extremely difficult, if not impossible to achieve. The second most cost-effective strategy which consists of a 100% use of treated bednets and 87% treatment of infective individuals for 42 and 100 days, respectively, is sustainable and therefore preferable.     

Evolutionary Epidemiology of Drug-Resistance in Space

How can we optimize the use of drugs against parasites to limit the evolution of drug resistance? This question has been addressed by many theoretical studies focusing either on the mixing of various treatments, or their temporal alternation. Here we consider a different treatment strategy where the use of the drug may vary in space to prevent the rise of drug-resistance. We analyze epidemiological models where drug-resistant and drug-sensitive parasites compete in a one-dimensional spatially heterogeneous environment. Two different parasite life-cycles are considered: (i) direct transmission between hosts, and (ii) vector-borne transmission. In both cases we find a critical size of the treated area, under which the drug-resistant strain cannot persist. This critical size depends on the basic reproductive ratios of each strain in each environment, on the ranges of dispersal, and on the duration of an infection with drug-resistant parasites. We discuss optimal treatment strategies that limit disease prevalence and the evolution of drug-resistance.     

Threshold virus dynamics with impulsive antiretroviral drug effects

The purposes of this paper are twofold: to develop a rigorous approach to analyze the threshold behaviors of nonlinear virus dynamics models with impulsive drug effects and to examine the feasibility of virus clearance following the Manuals of National AIDS Free Antiviral Treatment in China. An impulsive system of differential equations is developed to describe the within-host virus dynamics of both wild-type and drug-resistant strains when a combination of antiretroviral drugs is used to induce instantaneous drug effects at a sequence of dosing times equally spaced while drug concentrations decay exponentially after the dosing time. Threshold parameters are derived using the basic reproduction number of periodic epidemic models, and are used to depict virus clearance/persistence scenarios using the theory of asymptotic periodic systems and the persistence theory of discrete dynamical systems. Numerical simulations using model systems parametrized in terms of the antiretroviral therapy recommended in the aforementioned Manuals illustrate the theoretical threshold virus dynamics, and examine conditions under which the impulsive antiretroviral therapy leads to treatment success. In particular, our results show that only the drug-resistant strain can dominate (the first-line treatment program guided by the Manuals) or both strains may be rapidly eliminated (the second-line treatment program), thus the work indicates the importance of implementing the second-line treatment program as soon as possible.     

Optimal control analysis of a malaria disease transmission model that includes treatment and vaccination with waning immunity

We derive and analyse a deterministic model for the transmission of malaria disease with mass action form of infection. Firstly, we calculate the basic reproduction number, R(0), and investigate the existence and stability of equilibria. The system is found to exhibit backward bifurcation. The implication of this occurrence is that the classical epidemiological requirement for effective eradication of malaria, R(0)<1, is no longer sufficient, even though necessary. Secondly, by using optimal control theory we derive the conditions under which it is optimal to eradicate the disease and examine the impact of a possible combined vaccination and treatment strategy on the disease transmission. When eradication is impossible, we derive the necessary conditions for optimal control of the disease using Pontryagin's Maximum Principle. The results obtained from the numerical simulations of the model show that a possible vaccination combined with effective treatment regime would reduce the spread of the disease appreciably.     

Dynamical analysis of a multi-strain model of HIV in the presence of anti-retroviral drugs

One major drawback associated with the use of anti-retroviral drugs in curtailing HIV spread in a population is the emergence and transmission of HIV strains that are resistant to these drugs. This paper presents a deterministic HIV treatment model, which incorporates a wild (drug sensitive) and a drug-resistant strain, for gaining insights into the dynamical features of the two strains, and determining effective ways to control HIV spread under this situation. Rigorous qualitative analysis of the model reveals that it has a globally asymptotically stable disease-free equilibrium whenever a certain epidemiological threshold (R t 0) is less than unity and that the disease will persist in the population when this threshold exceeds unity. Further, for the case where R t 0 > 1, it is shown that the model can have two co-existing endemic equilibria, and competitive exclusion phenomenon occurs whenever the associated reproduction number of the resistant strain (R t r) is greater than that of the wild strain (R t w). Unlike in the treatment model, it is shown that the model without treatment can have a family of infinitely many endemic equilibria when its associated epidemiological threshold (R(0)) exceeds unity. For the case when [Formula in text], it is shown that the widespread use of treatment against the wild strain can lead to its elimination from the community if the associated reduction in infectiousness of infected individuals (treated for the wild strain) does not exceed a certain threshold value (in this case, the use of treatment is expected to make R t w < R t r.     

On the contribution of the rodent model Plasmodium chabaudi for understanding the genetics of drug resistance in malaria

Malaria is a devastating disease that still claims over half a million lives every year, mostly in sub–Saharan Africa. One of the main barriers to malaria control is the evolution and propagation of drug-resistant mutant parasites. Knowing the genes and respective mutations responsible for drug resistance facilitates the design of drugs with novel modes of action and allows predicting and monitoring drug resistance in natural parasite populations in real-time. The best way to identify these mutations is to experimentally evolve resistance to the drug in question and then comparing the genomes of the drug-resistant mutants to that of the sensitive progenitor parasites. This simple evolutive concept was the starting point for the development of a paradigm over the years, based on the use of the rodent malaria parasite Plasmodium chabaudi to unravel the genetics of drug resistance in malaria. It involves the use of a cloned parasite isolate (P. chabaudi AS) whose genome is well characterized, to artificially select resistance to given drugs through serial passages in mice under slowly increasing drug pressure. The end resulting parasites are cloned and the genetic mutations are then discovered through Linkage Group Selection, a technique conceived by Prof. Richard Carter and his group, and/or Whole Genome Sequencing. The precise role of these mutations can then be interrogated in malaria parasites of humans through allelic replacement experiments and/or genotype-phenotype association studies in natural parasite populations. Using this paradigm, all the mutations underlying resistance to the most important antimalarial drugs were identified, most of which were pioneering and later shown to also play a role in drug resistance in natural infections of human malaria parasites. This supports the use of P. chabaudi a fast-track predictive model to identify candidate genetic markers of resistance to present and future antimalarial drugs and improving our understanding of the biology of resistance.     

耐药结核分枝杆菌潜伏-复发感染动物模型的研究进展

潜伏结核感染(latent tuberculosis infection,LTBI)复发是新发结核病的主要来源,其中耐药结核病所占比例较大,使耐药LTBI复发的防控成为结核病研究的重点。耐药结核分枝杆菌潜伏-复发感染动物模型是开展耐药结核病防控相关机制研究、抗耐药结核分枝杆菌药物和疫苗研究的基础。目前耐药结核分枝杆菌感染动物模型缺乏,而已有的结核分枝杆菌标准株H37Rv潜伏-复发感染模型存在缺陷,如小鼠模型的潜伏期荷菌量偏高、复发期变异大,而猴模型的潜伏期和复发期不可预测。模型的可控性差使其应用困难,且缺乏可用的免疫学评价指标,导致远期复发无法预测。因此,基于现有H37Rv潜伏-复发感染动物模型的制备方法,展望耐药结核分枝杆菌潜伏-复发感染动物模型可能存在的缺陷,通过选用新的抑菌剂和诱导剂,制备有稳定潜伏期、潜伏时长适中、复发起点和复发水平变异小的动物模型,是未来耐药结核分枝杆菌潜伏-复发感染动物模型研究的方向。     

The dilution effect of the domestic animal population on the transmission of P. vivax malaria

The diversion of disease carrying insect from humans to animals may reduce transmission of diseases such as malaria. The use of animals to mitigate mosquito bites on human is called ‘zooprophylaxis’. We introduce a mathematical model for Plasmodium vivax malaria transmission with two bloodmeal hosts (humans and domestic animals) to study the effect of zooprophylaxis. After computing the basic reproduction number from the proposed model, we explore how perturbations in the parameters, sensitive to the effects of control measures, affect its value. Zooprophylaxis is shown to determine whether a basic reproduction becomes bigger than an outbreak threshold value or not. Sensitivity analysis shows that increasing the relative animal population size works better in P. vivax malaria control than decreasing the mosquito population when the relative animal population size is larger than a threshold value.     

Lipid metabolism in Plasmodium falciparum-infected erythrocytes: possible new targets for malaria chemotherapy

The emergence and spread of drug-resistant parasites coupled with the absence of an effective vaccine makes malaria treatment more complicated, and thus the development of new antimalarial drugs is one of the urgent tasks in malaria research. This review highlights lipid metabolism in Plasmodium parasite cells, the study of which would lead to providing new targets for therapeutic intervention.     

The malarial pigment in rat infected erythrocytes and its interaction with chloroquine. A M?ssbauer effect study

M?ssbauer studies of rat erythrocytes infected by Plasmodium berghei malaria parasites, using 57Fe-enriched rat red blood cells, were carried out in order to determine the physical parameters which characterize the malarial pigment iron and to test the effect of the widely used antimalaria drug, chloroquine, on these parameters. The iron in the malarial pigment which is derived from hemoglobin digestion by the intracellular parasite was found to be trivalent, high spin, with M?ssbauer parameters which are significantly different from those of any known iron porphyrin containing compound. No difference was found between the parameters obtained in erythrocytes infected by drug-sensitive and drug-resistant strains of P. berghei, both before and after the treatment with chloroquine. The iron compound consists of microaggregates, about 30 A in diameter. These are somewhat larger in chloroquine-resistant strains and tend to increase in size in chloroquine-sensitive strains upon treatment with the drug. M?ssbauer spectra of erythrocytes infected by a chloroquine-resistant strain revealed pigment iron in relative amounts invariable of those found in chloroquine-sensitive strains, demonstrating that drug-resistant parasites indeed digest hemoglobin.     

Within-host competition and drug resistance in the human malaria parasite Plasmodium falciparum

Infections with the malaria parasite Plasmodium falciparum typically comprise multiple strains, especially in high-transmission areas where infectious mosquito bites occur frequently. However, little is known about the dynamics of mixed-strain infections, particularly whether strains sharing a host compete or grow independently. Competition between drug-sensitive and drug-resistant strains, if it occurs, could be a crucial determinant of the spread of resistance. We analysed 1341 P. falciparum infections in children from Angola, Ghana and Tanzania and found compelling evidence for competition in mixed-strain infections: overall parasite density did not increase with additional strains, and densities of individual chloroquine-sensitive (CQS) and chloroquine-resistant (CQR) strains were reduced in the presence of competitors. We also found that CQR strains exhibited low densities compared with CQS strains (in the absence of chloroquine), which may underlie observed declines of chloroquine resistance in many countries following retirement of chloroquine as a first-line therapy. Our observations support a key role for within-host competition in the evolution of drug-resistant malaria. Malaria control and resistance-management efforts in high-transmission regions may be significantly aided or hindered by the effects of competition in mixed-strain infections. Consideration of within-host dynamics may spur development of novel strategies to minimize resistance while maximizing the benefits of control measures.     

Thanaka (Limonia acidissima) and deet (di-methyl benzamide) mixture as a mosquito repellent for use by Karen women

The prevention and treatment of drug-resistant malaria is becoming increasingly difficult. On the Thai–Myanmar border multi-drug resistant strains of falciparum malaria are increasing and, because the malaria vector Anopheles bite outdoors during early evening, insecticide house-spraying or impregnated bednets provide only limited protection. Therefore, the protective efficacy of repellent formulations containing di-methyl benzamide (deet) and permethrin against local vectors was estimated, when applied to the skin, and their acceptability amongst pregnant Karen women who are at relatively high risk from malaria was assessed. Human landing catches of mosquitoes showed that almost complete protection was achieved using different formulations of 20% deet and 0.5% permethrin for up to 6 h. All-night collections from human subjects indicated that this repellent combination reduced exposure to malaria parasites by at least 65 and 85% for those transmitted by Anopheles minimus and An. maculatus , respectively, the two principal vectors in this area. Pregnant women in the camps preferred repellents which were mixed with 'thanaka', a root paste made from pulp of the wood apple tree, Limonia acidissima , used locally as a cosmetic. Apart from a temporary warming sensation where repellent thanaka was applied to the skin, the repellents were well tolerated. An intervention trial is currently in progress to determine whether deet mixed with thanaka can protect pregnant women against malaria in this part of the world. Bioassays using a laboratory strain of Aedes aegypti demonstrated that thanaka is itself slightly repellent at high dosages and the mixture with deet provides protection for over 10 h. This treatment would therefore also provide some personal protection against dengue, which is increasing locally, transmitted by Ae. aegypti and Ae. albopictus biting during the daytime.     

Malaria Drug Resistance: The Impact of Human Movement and Spatial Heterogeneity

Human habitat connectivity, movement rates, and spatial heterogeneity have tremendous impact on malaria transmission. In this paper, a deterministic system of differential equations for malaria transmission incorporating human movements and the development of drug resistance malaria in an \(n\) patch system is presented. The disease-free equilibrium of the model is globally asymptotically stable when the associated reproduction number is less than unity. For a two patch case, the boundary equilibria (drug sensitive-only and drug resistance-only boundary equilibria) when there is no movement between the patches are shown to be locally asymptotically stable when they exist; the co-existence equilibrium is locally asymptotically stable whenever the reproduction number for the drug sensitive malaria is greater than the reproduction number for the resistance malaria. Furthermore, numerical simulations of the connected two patch model (when there is movement between the patches) suggest that co-existence or competitive exclusion of the two strains can occur when the respective reproduction numbers of the two strains exceed unity. With slow movement (or low migration) between the patches, the drug sensitive strain dominates the drug resistance strain. However, with fast movement (or high migration) between the patches, the drug resistance strain dominates the drug sensitive strain.     

CTLA-4 blockade differentially influences the outcome of non-lethal and lethal Plasmodium yoelii infections

An immune response against malaria has to be tightly controlled. The production of pro-inflammatory cytokines is required to control parasites but the same cytokines are also involved in severe malaria. We have shown that CTLA-4 expression during Plasmodium berghei malaria dampens the immune response. This strain provokes a pro-inflammatory immune response that is associated with the pathology of cerebral malaria. Accordingly a blockade of CTLA-4 during the blood-stage of P. berghei malaria leads to an exacerbation of disease. To analyze the effects of a CTLA-4 blockade in a malaria model which is not prone to immune pathology we employed P. yoelii infection. Blood-stage infection led to a rapid induction of CTLA-4 on T cells. Using the non-lethal P. yoelii strain Py17NL we found that a blockade of CTLA-4 resulted in an increased T cell activation and IFN-gamma production, which was accompanied by a lower peak parasitemia and earlier parasite clearance. In contrast, blockade of CTLA-4 during infection with a P. yoelii strain exhibiting a higher parasitemia induced markedly increased serum-levels of TNF-alpha, which was associated with severe inflammation and reduced survival.