Genotypic Drug Resistance Research Articles

Geo-classification of drug-resistant travel-associated Plasmodium falciparum using Pfs47 and Pfcpmp gene sequences (USA, 2018-2021).

Travel-related malaria is regularly encountered in the United States, and the U.S. Centers for Disease Control and Prevention (CDC) characterizes Plasmodium falciparum drug-resistance genotypes routinely for travel-related cases. An important aspect of antimalarial drug resistance is understanding its geographic distribution. However, specimens submitted to CDC laboratories may have missing, incomplete, or inaccurate travel data. To complement genotyping for drug-resistance markers Pfcrt, Pfmdr1, Pfk13, Pfdhps, Pfdhfr, and PfcytB at CDC, amplicons of Pfs47 and Pfcpmp are also sequenced as markers of geographic origin. Here, a bi-allele likelihood (BALK) classifier was trained using Pfs47 and Pfcpmp sequences from published P. falciparum genomes of known geographic origin to classify clinical genotypes to a continent. Among P. falciparum-positive blood samples received at CDC for drug-resistance genotyping from 2018 to 2021 (n = 380), 240 included a travel history with the submission materials, though 6 were excluded due to low sequence quality. Classifications obtained for the remaining 234 were compared to their travel histories. Classification results were over 96% congruent with reported travel for clinical samples, and with collection sites for field isolates. Among travel-related samples, only two incongruent results occurred; a specimen submitted citing Costa Rican travel classified to Africa, and a specimen with travel referencing Sierra Leone classified to Asia. Subsequently, the classifier was applied to specimens with unreported travel histories (n = 140; 5 were excluded due to low sequence quality). For the remaining 135 samples, geographic classification data were paired with results generated using CDC's Malaria Resistance Surveillance (MaRS) protocol, which detects single-nucleotide polymorphisms in and generates haplotypes for Pfcrt, Pfmdr1, Pfk13, Pfdhps, Pfdhfr, and PfcytB. Given the importance of understanding the geographic distribution of antimalarial drug resistance, this work will complement domestic surveillance efforts by expanding knowledge on the geographic origin of drug-resistant P. falciparum entering the USA.

Evaluation of genotype characteristics and drug resistance mutations in patients with chronic hepatitis B.

Hepatitis B is one of the public health priorities worldwide, especially in the Southwest China. Our study aimed to investigate the relationship between genotypes and drug resistance mutations among HBV patients in Southwest China, with the objective of providing guidance for clinical antiviral treatment. A total of 4266 chronic hepatitis B (CHB) patients treated in the Qianjiang Hospital of Chongqing University were included in our study from 2014 to 2020. Both genotypes and drug-resistant mutations of CHB patients were determined by polymerase chain reaction (PCR). Genotype B and genotype C were the main HBV genotypes in our study. We found 54 mutation patterns, including 9 single-site mutations and 45 multiple-site mutations, accounting for 57.64% and 42.36%, respectively. rtM204I/V/S (485/1936) was the most common single-site mutation type, and rtL180M + rtM204I/V (482/1936) was the most common multiple-site mutation type. 1372 CHB patients were resistant to LAM + LDT, and 342 CHB patients were resistant to ADV. There was only 1 CHB patient who exhibited resistance to LAM + LDT + ADV + ETV, with a specific mutation pattern of rtA181T + rtT184L + rtM204V. Our study demonstrated trends in genetic mutations and drug resistance in CHB patients to enable timely adjustment of antiviral treatment strategies.

Management of low-level HIV viremia during antiretroviral therapy: Delphi consensus statement and appraisal of the evidence

ObjectiveWhile antiretroviral therapy (ART) is highly effective, detection of low levels of HIV-1 RNA in plasma is common in treated individuals. Given the uncertainties on the topic, we convened a...

Drug-resistance characteristics, genetic diversity, and transmission dynamics of multidrug-resistant or rifampicin-resistant Mycobacterium tuberculosis from 2019 to 2021 in Sichuan, China

BackgroundMultidrug- or rifampicin-resistant tuberculosis (TB; MDR/RR-TB) is a significant public health threat. However, the mechanisms involved in its transmission in Sichuan, China are unclear. To provide a scientific basis for MDR/RR-TB control and prevention, we investigated the drug-resistance characteristics, genetic diversity, and transmission dynamics and analyzed the demographic and clinical characteristics of patients to identify risk factors for the acquisition of MDR/RR-TB in Sichuan, Western China.MethodsWhole-genome sequencing was performed using a sample comprised of all MDR/RR-TB strains isolated from patients with pulmonary TB (≥ 15 years) at the 22 surveillance sites in Sichuan province between January 2019 and December 2021, to analyze genotypic drug resistance and genetic diversity. Moreover, we performed statistical analyses of the epidemiological characteristics and risk factors associated with the transmission dynamics of MDR/RR-TB.ResultsThe final analysis included 278 MDR/RR TB strains. Lineage 2.2, the major sub-lineage, accounted for 82.01% (228/278) of isolates, followed by lineage 4.5 (9.72%, 27/278), lineage 4.4 (6.83%, 19/278), and lineage 4.2 (1.44%, 4/278). The drug resistance rates, ranging from high to low, were as follows: isoniazid (229 [82.37%]), streptomycin (177 [63.67%]), ethambutol (144 [51.80%]), pyrazinamide (PZA, 119 [42.81%]), fluoroquinolones (FQs, 93 [33.45%]). Further, the clofazimine, bedaquiline, and delamanid resistance rates were 2.88, 2.88, and 1.04%, respectively. The gene composition cluster rate was 32.37% (90/278). In addition, 83.81% (233/278) of MDR/RR-TB cases were determined to be likely caused by transmission. Finally, patients infected with lineage two strains and strains with the KatG S315T amino acid substitution presented a higher risk of MDR/RR-TB transmission.ConclusionTransmission plays a significant role in the MDR/RR-TB burden in Sichuan province, and lineage 2 strains and strains harboring KatG S315T have a high probability of transmission. Further, high levels of FQ and PZA drug resistance suggest an urgent need for drug susceptibility testing prior to designing therapeutic regimens. New anti-TB drugs need to be used standardly and TB strains should be regularly monitored for resistance to these drugs.

Population structure of the B0/W148 Mycobacterium tuberculosis subtype: Phylogenetic analysis and characteristics of genotypic drug resistance

Background. The B0/W148 subtype belongs to the L2phylogenetic lineage of Mycobacterium tuberculosis and is most common in the former Soviet Union. Test systems capable of detecting genetic variants of the pathogen are needed for effective epidemiological surveillance. Studying the genetic diversity of B0/W148 strains and finding molecular markers suitable for their genotyping are key steps in the development of such diagnostic tools.The aim of the work. To study the phylogenetic diversity of the B0/W148 subtype circulating in the territory of the Russian Federation and neighboring countries in order to identify unique clades and search for specific molecular markers suitable for their precise identification.Materials and methods. The study used DNA samples of B0/W148 strains (n = 34) isolated in different regions of the Russian Federation, as well as genomic data obtained from the SRA NCBI (Sequence Read Archive of the National Center for Biotechnology Information) (n = 419). Phylogenetic analysis and principal component analysis (PCA) of whole genome sequencing (WGS) data were used to analyze genetic diversity and to identify molecular markers. An evolutionary reconstruction of the age of the identified clades was carried out.Results. The analysis of the B0/W148 genomes (n = 453) revealed that they are divided into three phylogenetic clades: B – basal, M – minor and P – principal. It was found that specific mutations in the M and P clades allow for their differential diagnosis. The 4137219T>G mutation is unique for the M clade, and the 2241091C>T mutation is unique for the P clade. No characteristic mutations were found among the strains of B clade. In addition, unique mutation profiles in the genes responsible for drug resistance were identified for the clades.Conclusion. The study showed that B0/W148 strains represent a genetically heterogeneous population divided into B, M and P clades. M and P Clades have unique mutations that allow for their identification. It was also found that all clades are characterized by the presence of specific mutation profiles in drug resistance genes.

K103N, V106M and Y188L Significantly Reduce HIV-1 Subtype C Phenotypic Susceptibility to Doravirine.

Doravirine (DOR) is a non-nucleoside reverse transcriptase inhibitor (NNRTI) with efficacy against some NNRTI-resistant mutants. Although DOR resistance mutations are established for HIV-1 subtype B, it is less clear for non-B subtypes. This study investigated prevalent NNRTI resistance mutations on DOR susceptibility in HIV-1 subtype C. Prevalent drug resistance mutations were identified from a South African genotypic drug resistance testing database. Mutations, single or in combination, were introduced into replication-defective pseudoviruses and assessed for DOR susceptibility in vitro. The single V106M and Y188L mutations caused high-level resistance while others did not significantly impact DOR susceptibility. We observed an agreement between our in vitro and the Stanford HIVdb predicted susceptibilities. However, the F227L mutation was predicted to cause high-level DOR resistance but was susceptible in vitro. Combinations of mutations containing K103N, V106M or Y188L caused high-level resistance, in agreement with the predictions. These mutations are frequently observed in patients failing efavirenz- or nevirapine-based first-line regimens. However, they are also observed in those failing a protease inhibitor-based second-line regimen, as we have observed in our database. Genotypic drug resistance testing is therefore vital prior to the initiation of DOR-based treatment for those previously exposed to efavirenz or nevirapine.

A Comparison of Sanger Sequencing and Amplicon-Based Next Generation Sequencing Approaches for the Detection of HIV-1 Drug Resistance Mutations.

Next-generation sequencing (NGS) kits are needed to finalise the transition from Sanger sequencing to NGS in HIV-1 genotypic drug resistance testing. We compared a homemade NGS amplicon-based protocol and the AD4SEQ HIV-1 Solution v2 (AD4SEQ) NGS kit from Arrow Diagnostics for identifying resistance-associated mutations (RAMs) above the 5% threshold in 28 plasma samples where Sanger sequencing previously detected at least one RAM. The samples had a median 4.8 log [IQR 4.4-5.2] HIV-1 RNA copies/mL and were mostly subtype B (61%) and CRF02_AG (14%). Homemade NGS had a lower rate of samples with low-coverage regions (2/28) compared with AD4SEQ (13/28) (p < 0.001). Homemade NGS and AD4SEQ identified additional mutations with respect to Sanger sequencing in 13/28 and 9/28 samples, respectively. However, there were two and eight cases where mutations detected by Sanger sequencing were missed by homemade NGS and AD4SEQ-SmartVir, respectively. The discrepancies between NGS and Sanger sequencing resulted in a few minor differences in drug susceptibility interpretation, mostly for NNRTIs. Both the NGS systems identified additional mutations with respect to Sanger sequencing, and the agreement between them was fair. However, AD4SEQ should benefit from technical adjustments allowing higher sequence coverage.

HIV drug resistance: analysis of viral genotypes and mutation loci in people living with HIV in Chongqing, China (2016–2023)

BackgroundLarge-scale HIV genotype drug resistance study has not been conducted in Chongqing.MethodsA retrospective study was conducted on people living with HIV(PLWH) who received HIV-1 genotype resistance testing at Chongqing Public Health Medical Center from May 2016 to June 2023. The HIV-1pol gene was amplified through RT-PCR and analyzed in terms of genotypic drug resistance.ResultsOf the 3015 PLWH tested for HIV-1 drug resistance, 1405 (46.6%) were resistant to at least one antiviral drug. Among non-nucleoside reverse transcriptase inhibitors (NNRTIs), 43.8% were resistant, compared to 29.5% for nucleoside reverse transcriptase inhibitors (NRTIs) and 3.4% for protease inhibitors (PIs). V179D/E and K103N/S were identified as the common mutation sites in the NNRTIs class of drugs, M184V/I and K65R/N were reported as the most common mutation sites in NRTIs, while thymidine analogue mutation (TAM) group was identified in 373 samples. L10FIV was the most common mutation in PIs. The dominant HIV-1 subtype was CRF07_BC.ConclusionsThe high prevalence of HIV-1 drug resistance in Chongqing underscores the imperative for rigorous surveillance of the local HIV epidemic. Furthermore, TAMs are associated with HIV-1 multidrug resistance, and timely detection of drug resistance is helpful to reduce the emergence and spread of such drug-resistant strains.

Comparison of targeted next-generation sequencing and traditional microbial culture in the diagnosis of pulmonary infections

This study investigated the diagnostic potential of targeted next-generation sequencing (tNGS) for pulmonary infections. The positivity rate of tNGS was significantly higher than that of traditional microbial culture (92.6 % vs 25.2 %, χ2 = 378.272, P < 0.001). The proportion of two or more species of pathogens detected using tNGS exceeded that detected using microbial culture (χ2 = 337.283, P < 0.001). There were inconsistencies between the results of the tNGS antibiotic resistance gene and the drug susceptibility test resistance phenotype. The tNGS technique demonstrates rapid and effective capabilities in identifying bacteria, fungi, viruses, and specific pathogens, with a detection sensitivity that surpasses that of conventional culture methodologies. Microbial drug resistance genotypes detected by tNGS cannot accurately predict drug resistance phenotypes and require further improvement or integration with traditional microbial culture to establish a foundation for effective clinical treatment.

Comparison of Different HIV-1 Resistance Interpretation Tools for Next-Generation Sequencing in Italy.

Next-generation sequencing (NGS) is gradually replacing Sanger sequencing for HIV genotypic drug resistance testing (GRT). This work evaluated the concordance among different NGS-GRT interpretation tools in a real-life setting. Routine NGS-GRT data were generated from viral RNA at 11 Italian laboratories with the AD4SEQ HIV-1 Solution v2 commercial kit. NGS results were interpreted by the SmartVir system provided by the kit and by two online tools (HyDRA Web and Stanford HIVdb). NGS-GRT was considered valid when the coverage was >100 reads (100×) at each PR/RT/IN resistance-associated position listed in the HIVdb 9.5.1 algorithm. Among 629 NGS-GRT, 75.2%, 74.2%, and 70.9% were valid according to SmartVir, HyDRA Web, and HIVdb. Considering at least two interpretation tools, 463 (73.6%) NGS-GRT had a valid coverage for resistance analyses. The proportion of valid samples was affected by viremia <10,000-1000 copies/mL and non-B subtypes. Mutations at an NGS frequency >10% showed fair concordance among different interpretation tools. This Italian survey on NGS resistance testing suggests that viremia levels and HIV subtype affect NGS-GRT coverage. Within the current routine method for NGS-GRT, only mutations with frequency >10% seem reliably detected across different interpretation tools.

Prevalence and dynamics of antimalarial drug resistance mutations among the Plasmodium falciparum isolates in TAK Province, Thailand, during the period of 1998-2001.

Despite the overall decline in malaria cases in Thailand, continuous surveillance in endemic areas remains crucial. This retrospective analysis examined Plasmodium falciparum samples from Tak province, Thailand, collected in 1998, 1999, and 2001, to investigate the prevalence and evolution of antimalarial genotypic drug resistance. The study revealed a high prevalence of drug-resistant P. falciparum, particularly to mefloquine and sulfadoxine/pyrimethamine, with significant mutations in genes associated with resistance. Notably, mutations indicative of artemisinin resistance, such as those in the kelch13 gene, were detected at low frequencies, suggesting an evolving resistance pattern. The underlying cause of these resistance mutations appears to be the historical and widespread use of these antimalarial drugs, which exerted selective pressure on the parasite population. These findings underscore the necessity of ongoing surveillance and adaptive control strategies to manage drug resistance, guide treatment policies, and prevent potential outbreaks, even as malaria cases decrease. Continuous monitoring and research are imperative to sustain malaria elimination efforts and address the dynamic challenges posed by evolving drug-resistant strains.

Prevalence of integrase strand transfer inhibitor resistance in people living with HIV and virological failure.

This study aims to delineate the resistance profiles of integrase strand transfer inhibitors (INSTIs) among patients in southern Taiwan who had experienced antiretroviral therapy (ART) failure. We focused on individuals previously treated with highly active ART (HAART) regimens, providing insights into the implications of INSTI resistance in a broader treatment-experienced population. Data were collected from patients failing an INSTI-containing regimen in a medical center in southern Taiwan between 2009 and 2022. Virological failure was defined as a plasma viral load >1000 copies/mL. Reverse transcriptase, protease, and integrase coding regions were sequenced at failure. Resistance-associated mutations included in the 2022 International Antiviral Society (IAS)-USA list were used. Drug resistance was analyzed using the HIV Stanford HIVDB 9.4 edition algorithm. Logistic regression analysis was used to analyze the risk factors associated with INSTI failure. A total of 184 patients were enrolled for genotypic drug resistance testing due to virological failure, of whom 104 failed on nonnucleoside reverse transcriptase inhibitors, 58 on protease inhibitors (PIs), and 21 on INSTIs. Among 21 patients who failed INSTI therapy, 6 failed raltegravir-based treatment, 3 elvitegravir/cobicistat/emtricitabine/tenofovir alafenamide (EVG/COBI/FTC/TAF), 2 bictegravir/emtricitabine/tenofovir alafenamide (BIC/FTC/TAF), and 10 abacavir/dolutegravir/lamivudine (ABC/DTG/3TC). Only 10 patients had INSTI drug resistance testing results available, and 40% (4/10) showed INSTI resistance at failure. Among the seven patients who failed on second-generation INSTIs with drug resistance reports available, one harbored E157Q and another with R263K mutations, respectively. Multivariable logistic regression analysis showed that patients with INSTI failure were less likely to have pol resistance (p = 0.007, adjusted odds ratio [OR], 0.176, 95% CI, 0.050-0.618), less previous exposure to NNRTI (p = 0.003, aOR, 0.063, 95% CI, 0.010-0.401), PIs (p = 0.002, aOR, 0.030, 95% CI, 0.003-0.272), and with long duration of HAART (p = 0.018, aOR, 1.02, 95% CI, 1.003-1.037). INSTI resistance was uncommon when used as the first-line single tablet regimen in Taiwan. The results confirmed the robustness of ABC/DTG/3TC and BIC/FTC/TAF regarding integrase resistance in cases of virological failure in routine clinical care.

Genotyping and Antiretroviral Drug Resistance Mutations among HIV Patients in Southern Santa Catarina, Brazil.

Therapeutic measures have been successful in increasing survival rates and quality of life of HIV/AIDS-infected people. However, some people fail to respond to antiretroviral therapy (HAART) because of viral resistance-associated mutations. To identify virus genotype and the presence of mutations that alter the susceptibility to HAART, and factors associated with the occurrence of these mutations. A cross-sectional study was conducted on adults living with HIV attending a specialized outpatient clinic in southern Santa Catarina, Brazil. The participants were interviewed and had blood samples collected for analysis. Those with detectable viral load were genotyped. Out of the 629 patients recruited, 127 subjects were included due to having a detectable viral load. The most common mutations were M184V and K103N. HIV-1 subtype C was the most prevalent strain. Resistance to HAART was associated with modification in the treatment regimen (p <0.001). This study concluded that the circulating subtype virus was subtype C and that the mutations K103N and M184V were the most prevalent strains in southern Santa Catarina, Brazil.

ACURAT: Advancing tuberculosis detection through assembled PCR & CRISPR for ultra-sensitive Rifampin-resistant analysis testing

Tuberculosis (TB) remains a pressing global health threat, while the emergence of drug-resistant TB adds complexity to clinical treatment strategies, underscoring the need for rapid and accurate diagnosis. In this study, we present an innovative identification and antibiotic susceptibility testing system, termed Assembled PCR & CRISPR for Ultra-sensitive Rifampin-resistant Analysis Testing (ACURAT). ACURAT employed a nested polymerase chain reaction (PCR) scheme to sensitively detect as few as 10 copies of the TB genome, more importantly, addressing the clustered regularly interspaced short palindromic repeats/associated protein 9 (CRISPR-Cas9) system’s requirement for a protospacer adjacent motif (PAM) sequence by introducing with the designed primers. Recognizing the limitation of fully-matched guide ribonucleic acid (RNA) in distinguishing one-base single nucleotide polymorphisms (SNPs), we designed a micro-mismatch CRISPR-Cas9 system with significant selectivity, featuring a single-base mismatch with wildtype genotypes and at least two base mismatches with drug-resistant genotypes. The systematic optimization of ACURAT parameters revealed that a 19 nt guide RNA length, a 1 bp distance to the PAM sequence, and the use of a high-fidelity Cas9 nuclease significantly enhanced the efficiency. Finally, ACURAT successfully distinguished fifteen drug-resistance-related genotypes in codons 516, 526, 531, and 533 of the polymerase beta subunit gene. ACURAT demonstrated substantial clinical potential for efficient TB diagnosis and exhibited the capability to address other sequence recognition scenarios.

Population-based nanopore sequencing of the HIV-1 pangenome to identify drug resistance mutations.

HIV-1 drug resistance genotypic tests have primarily been performed by Sanger sequencing of gene segments encoding different drug target proteins. Since the number of targets has increased with the addition of a new class of antiretroviral drugs, a simple high-throughput system for assessing nucleotide sequences throughout the HIV-1 genome is required. Here, we developed a new solution using nanopore sequencing of viral pangenomes amplified by PCR. Benchmark tests using HIV-1 molecular clones demonstrated an accuracy of up to 99.9%. In addition, validation tests of our protocol in 106 clinical samples demonstrated high concordance of drug resistance and tropism genotypes (92.5% and 98.1%, respectively) between the nanopore sequencing-based results and archived clinical determinations made based on Sanger sequencing data. These results suggest that our new approach will be a powerful solution for the comprehensive survey of HIV-1 drug resistance mutations in clinical settings.

A system troubleshooting for HIV-1 drug resistance genotyping amplification rate failure at Ethiopian public health institute HIV laboratory

A system troubleshooting for HIV-1 drug resistance genotyping amplification rate failure at Ethiopian public health institute HIV laboratory

Full-Length Genome Sequencing and Analysis of Hepatitis B Viruses Isolated from Iraqi Patients.

Hepatitis B virus (HBV) causes liver diseases (chronic hepatitis, cirrhosis, and hepatocellular carcinoma) and is a leading health problem worldwide. Sequencing of the whole HBV genome provides insight into the virus genotype, subgenotype, serotype, genetic variation, and viral drug resistance. To date, no study has been conducted on the whole genome sequence of HBV obtained from Iraqi patients. Therefore, this is the first study to sequence clinical samples from these patients. Viral genomic DNA was isolated and amplified using five primer sets to amplify five overlapping regions covering the entire HBV genome. The amplicons were sequenced, aligned to a reference sequence, annotated, and submitted to the National Center for Biotechnology Information GenBank database. Sequence analysis showed that the genome size of the tested viral samples was 3,182 bp and belonged to genotype D, subgenotype D1, and serotype ayw2. Missense mutations were found in the four regions (X, PreS1-S, PreC-C, and P) of the tested samples, leading to amino acid substitutions, which were 8.4%, 5.1%, 4.7%, and 4.6%, respectively. These mutations may cause severe liver diseases.

Complete genome sequences and multidrug resistance genotypes of nontuberculous mycobacteria isolates from the Central Tuberculosis Reference Laboratory Muhimbili Tanzania

Background: Nontuberculous mycobacteria (NTM) usually comprise a group of environmental bacteria, with emerging but elusive coinfection with tuberculous mycobacteria, causing pulmonary tuberculosis. Whole genome sequencing may give insight into potential antimicrobial resistance genotypes, giving clinicians and policymakers proper directions in clinical applications and management regimens. Methods: WGS was performed on twenty-four gDNA isolates from archival samples at the Central Tuberculosis Reference Laboratory using the MinION Oxford Nanopore Sequencing approach. Out of twenty-four, two were confirmed to belong to the NTM group. Further analysis was done to resolve the complete genomes of two nontuberculous mycobacteria strains isolated from tuberculosis patients. We then combined phylogenomics, reference-based scaffolding and average nucleotide identity (ANI) analysis to delineate each strain's taxonomic position and corresponding features. Results: Our findings reveal that the two strains fit into the genus Mycolicibacterium, and the closest relative is Mycolicibacterium novocastrense. Coupling BacAnt and CARD-based antibiotic resistance analyses revealed multidrug-resistant genotypes of diverse spectra and mechanisms. While the BC02 strain is genetically resistant to beta-lactams, macrolides and rifamycins, the BC05 strain portrays an extended drug resistance genotype encompassing beta-lactams, macrolides, polyamines, and aminoglycosides. Both strains possess a single nucleotide polymorphism (SNP) of the RNA polymerase beta-subunit (rpoB), representing resistance to the first-line rifampicin. Additionally, the BC05 strain genetically portrays resistance to ethambutol, isoniazid and fosfomycin through mechanisms involving target alteration through SNPs, drug inactivation and efflux. Conclusion: Our findings strongly suggest the potential implication of multidrug-resistant NTM clinical isolates in the pathogenesis of pulmonary tuberculosis.

Targeted amplicon deep sequencing of ama1 and mdr1 to track within-host P. falciparum diversity throughout treatment in a clinical drug trial

Introduction Antimalarial therapeutic efficacy studies are routinely conducted in malaria-endemic countries to assess the effectiveness of antimalarial treatment strategies. Targeted amplicon sequencing (AmpSeq) uniquely identifies and quantifies genetically distinct parasites within an infection. In this study, AmpSeq of Plasmodium falciparum apical membrane antigen 1 (ama1), and multidrug resistance gene 1 (mdr1), were used to characterise the complexity of infection (COI) and drug-resistance genotypes, respectively. Methods P. falciparum-positive samples were obtained from a triple artemisinin combination therapy clinical trial conducted in 30 children under 13 years of age between 2018 and 2019 in Kilifi, Kenya. Nine of the 30 participants presented with recurrent parasitemia from day 26 (624h) onwards. The ama1 and mdr1 genes were amplified and sequenced, while msp1, msp2 and glurp data were obtained from the original clinical study. Results The COI was comparable between ama1 and msp1, msp2 and glurp; overall, ama1 detected more microhaplotypes. Based on ama1, a stable number of microhaplotypes were detected throughout treatment until day 3. Additionally, a recrudescent infection was identified with an ama1 microhaplotype initially observed at 30h and later in an unscheduled follow-up visit. Using the relative frequencies of ama1 microhaplotypes and parasitemia, we identified a fast (&lt;1h) and slow (&gt;5h) clearing microhaplotype. As expected, only two mdr1 microhaplotypes (NF and NY) were identified based on the combination of amino acid polymorphisms at codons 86 and 184. Conclusions This study highlights AmpSeq as a tool for highly-resolution tracking of parasite microhaplotypes throughout treatment and can detect variation in microhaplotype clearance estimates. AmpSeq can also identify slow-clearing microhaplotypes, a potential early sign of selection during treatment. Consequently, AmpSeq has the capability of improving the discriminatory power to distinguish recrudescences from reinfections accurately.

Role of seasonal importation and genetic drift on selection for drug-resistant genotypes of Plasmodium falciparum in high-transmission settings.

Historically Plasmodium falciparum has followed a pattern of drug resistance first appearing in low-transmission settings before spreading to high-transmission settings. Several features of low-transmission regions are hypothesized as explanations: higher chance of symptoms and treatment seeking, better treatment access, less within-host competition among clones and lower rates of recombination. Here, we test whether importation of drug-resistant parasites is more likely to lead to successful emergence and establishment in low-transmission or high-transmission periods of the same epidemiological setting, using a spatial, individual-based stochastic model of malaria and drug-resistance evolution calibrated for Burkina Faso. Upon controlling for the timing of importation of drug-resistant genotypes and examination of key model variables, we found that drug-resistant genotypes imported during the low-transmission season were (i) more susceptible to stochastic extinction due to the action of genetic drift, and (ii) more likely to lead to establishment of drug resistance when parasites are able to survive early stochastic loss due to drift. This implies that rare importation events are more likely to lead to establishment if they occur during a high-transmission season, but that constant importation (e.g. neighbouring countries with high levels of resistance) may produce a greater risk during low-transmission periods.