Molecular epidemiological surveillance of Africa and Asia imported malaria in Wuhan, Central China: comparison of diagnostic tools during 2011-2018

A cross-sectional study to ascertain malaria prevalence among asymptomatic travellers arriving on the Lihir Group of Islands, Papua New Guinea: implications for elimination efforts

BACKGROUND

The Lihir Islands of Papua New Guinea host a mining operation that has resulted in a mine-impacted zone (MIZ) with reduced malaria transmission and a substantial influx of mine employees, informal cross-country traders, returning locals, and visitors. Prevalence of malaria parasites was assessed in travellers arriving on the Lihir Group of Islands to evaluate the risk of parasite importation.

METHODS

In 2018, a cross-sectional study at the airport and main wharf was conducted, targeting asymptomatic travellers who had been away from Lihir for at least 12 days. Microscopy, rapid diagnostic tests (RDTs), and quantitative PCR (qPCR) were used to determine Plasmodium parasite prevalence, employing logistic regression models to identify factors associated with qPCR positivity.

RESULTS

398 travellers arriving by plane and 402 arriving by boat were included. Both cohorts were significantly different. Mean age among travellers arriving by plane was 40.1 years (SD ± 10.1), 93% were male and 96% were employed at the mine. In contrast, among travellers arriving by boat, the mean age was 31.7 years (SD ± 14.0), 68% were male and 36% were employed at the mine. The prevalence of malaria infection among travellers arriving by plane was 1% by RDT and microscopy, and increased to 5% by qPCR. In contrast, those arriving by boat showed a prevalence of 8% by RDT and microscopy, and 17% by qPCR. Risk factors for infection were arriving by boat (OR 4.2; 95%CI 2.45,7.21), arriving from nearby provinces with high malaria incidence (OR 5.02; 95%CI 1.80, 14.01), and having been away from Lihir for 91 days or more (OR 4.15; 95%CI 2.58, 6.66). Being mine worker staying at the mine accommodation was related with less infection risk (OR 0.24; 95% CI 0.14, 0.43); while Lihirian residents returning from a trip, VFRs, or people with trading unrelated to mining had higher risks (p = 0.0066).

CONCLUSIONS

Travellers arriving by boat faced increased risk of malaria infection than those arriving by plane. This subpopulation poses an import risk to the MIZ and the rest of Lihir Islands. Screening of high-risk groups at wharfs, and collaboration with nearby Islands, could sustain reduced transmission and facilitate malaria elimination strategies.

Rapid and Ultrasensitive Detection of Plasmodium spp. Parasites via the RPA-CRISPR/Cas12a Platform

Microscopic examination of thick and thin blood smears stained with Giemsa dye is considered the primary diagnostic tool for the confirmation and management of suspected clinical malaria. However, detecting gametocytes is relatively insensitive, particularly in asymptomatic individuals with low-density Plasmodium infections. To complement existing diagnostic methods, a rapid and ultrasensitive point-of-care testing (POCT) platform for malaria detection is urgently needed and necessary. A platform based on recombinase polymerase amplification (RPA) followed by CRISPR/Cas12a (referred to as RPA-CRISPR/Cas12a) was developed and optimized for the determination of Plasmodium spp. parasites, particularly Plasmodium falciparum, using a fluorescence-based assay (FBDA), lateral flow test strips (LFTS), or naked eye observation (NEO). Then, the established platform was assessed with clinical malaria isolates. Under optimal conditions, the detection threshold was 1 copy/μL for the plasmid, and the limit of detection was 3.11-7.27 parasites/μL for dried blood spots. There was no cross-reactivity against blood-borne pathogens. For the accuracies of RPA-CRISPR/Cas12a, Plasmodium spp. and P. falciparum testing were 98.68 and 94.74%, respectively. The method was consistent with nested PCR results and superior to the qPCR results. RPA-CRISPR/Cas12a is a rapid, ultrasensitive, and reliable platform for malaria diagnosis. The platform requires no or minimal instrumentation for nucleic acid amplification reactions and can be read with the naked eye. Compared with similar diagnostic methods, this platform improves the reaction speed while reducing detection requirements. Therefore, this platform has the potential to become a true POCT for malaria parasites.

3D-QSAR-based design, synthesis and biological evaluation of 2,4-disubstituted quinoline derivatives as antimalarial agents

2,4-Disubstituted quinoline derivatives were designed based on a 3D-QSAR study, synthesized and evaluated for antimalarial activity. A large dataset of 178 quinoline derivatives was used to perform a 3D-QSAR study using CoMFA and CoMSIA models. PLS analysis provided statistically validated results for CoMFA (r2ncv = 0.969, q2 = 0.677, r2cv = 0.682) and CoMSIA (r2ncv = 0.962, q2 = 0.741, r2cv = 0.683) models. Two series of a total of 40 2,4-disubstituted quinoline derivatives were designed with amide (quinoline-4-carboxamide) and secondary amine (4-aminoquinoline) linkers at the -C4 position of the quinoline ring. For the purpose of selecting better compounds for synthesis with good pEC50 values, activity prediction was carried out using CoMFA and CoMSIA models. Finally, a total of 10 2,4-disubstituted quinoline derivatives were synthesized, and screened for their antimalarial activity based on the reduction of parasitaemia. Compound #5 with amide linker and compound #19 with secondary amine linkers at the -C4 position of the quinoline ring showed maximum reductions of 64% and 57%, respectively, in the level of parasitaemia. In vivo screening assay confirmed and validated the findings of the 3D-QSAR study for the design of quinoline derivatives.

An intelligent detection method for plasmodium based on self-supervised learning and attention mechanism

Background

Malaria remains a severe life-threatening disease caused by plasmodium parasites. Microscopy is widely used for malaria diagnosis. However, it relies heavily on the skills and experience of inspectors. Due to low-level medical services and the lack of skilled inspectors, misdiagnoses are frequently made in some areas.

Methods

In recent years, many successful applications of CNN models have been reported. Unlike images in the ImageNet, the image of plasmodium only has a tiny defect area with a large amount of information. In addition, the dataset is extremely unbalanced: the number of positive samples is much less than that of negative samples. This paper proposes a classification network by combining attention mechanism and ResNeSt for plasmodium detection and using self-supervised learning to pre-train the network. First, the positive samples were adopted to pre-train the network. Then, attention modules were taken to highlight the feature area. To support current and future research, we also constructed a plasmodium dataset with Plasmodium falciparum, Plasmodium vivax, Plasmodium ovale, and Plasmodium malaria and non-Plasmodium. Through self-supervised learning, a large amount of unlabeled data is used to mine the representational features, thus improving the feature extraction capability of the model and achieving higher accuracy, while saving the physician's labeling time and improving the classification accuracy.

Results

The experiments show that our model exhibits an excellent performance and that the test accuracy, sensitivity, and specificity attain 97.8%, 96.5%, and 98.9%, respectively.

Conclusion

The AI classification method proposed in this paper can effectively assist clinicians in the diagnosis and provide a basis for the automatic detection of malaria parasites in the future.

Detection of Antimalarial Resistance-Associated Mutations in Plasmodium falciparum via a Platform of Allele-Specific PCR Combined with a Gold Nanoparticle-Based Lateral Flow Assay

Since single nucleotide polymorphisms (SNPs) have attracted attention, there have been many explorations and improvements in screening and detection methods for SNPs. Traditional methods are complex and time-consuming and rely on expensive instruments. Therefore, there is an urgent need for a low-cost, simple, and accurate method that is convenient for use in resource-poor areas. Thus, a platform based on allele-specific PCR (AS-PCR) and a gold nanoparticle-based lateral flow assay (LFA) was developed, optimized, and used to detect the SNPs of the drug resistance gene pfmdr1. Subsequently, the system was assessed on clinical isolates and compared with nested PCR followed by Sanger sequencing. The sensitivity and specificity of the AS-PCR-LFA platform were up to 99.43% and 100%, respectively, based on the clinical isolates. The limit of detection is approximately 150 fg/μL for plasmid DNA as the template and 50 parasites/μL for dried filter blood spots from clinical isolates. The established and optimized AS-PCR-LFA system is more adaptable and rapidly translated to SNP analysis of other drug resistance genes and genetic diseases. In addition, while actively responding to the point-of-care testing policy, it also contributes to the Global Malaria Eradication Program. IMPORTANCE Rapid detection of single nucleotide polymorphisms (SNPs) is essential for malaria treatment. Based on the techniques of allele-specific PCR (AS-PCR) and lateral flow assay (LFA), an accurate and powerful platform for SNP detection of pfmdr1 was developed and evaluated with plasmid and clinical isolates. It offers a useful tool to identify antimalarial drug resistance and can support the effort to eliminate malaria globally.

A PCR-RFLP Technique to Assess the Geographic Origin of Plasmodium falciparum Strains in Central America

The elimination of malaria requires strengthening diagnosis and offering adequate and timely treatment. Imported cases of falciparum malaria represent a major challenge for pre-elimination areas, such as Central America, where chloroquine and primaquine continue to be used as first-line treatment. The pfs47 gene has been previously described as a precise molecular marker to track the geographic origin of the parasite. The aim of this study was to design a simple and low-cost technique using the polymorphic region of pfs47 to assess the geographic origin of P. falciparum strains. A PCR-RFLP technique was developed and evaluated using the MseI enzyme that proved capable of discriminating, with reasonable precision, the geographical origin of the parasites. This method could be used by national surveillance laboratories and malaria elimination programs in countries such as Honduras and Nicaragua in cases of malaria where an origin outside the Central American isthmus is suspected.

Single-nucleotide polymorphisms of artemisinin resistance-related pfubp1 and pfap2mu genes in imported Plasmodium falciparum to Wuhan, China

BACKGROUND

Molecular markers for monitoring resistance could help improve malaria treatment policies. Delayed clearance of Plasmodium falciparum by artemisinin-based combination therapies (ACTs) has been reported in several countries. In addition to PfKelch13 (pfk13), new drug resistance genes, P. falciparum ubiquitin-specific protease 1 (pfubp1) and the eadaptor protein complex 2 mu subunit (pfap2mu), have been identified as being linked to ACTs. This study investigated the prevalence of single-nucleotide polymorphisms (SNPs) in clinical P. falciparum isolates pfubp1 and pfap2mu imported from Africa and Southeast Asia (SEA) to Wuhan, China, to provide baseline data for antimalarial resistance monitoring in this region.

METHODS

Peripheral venous blood samples were collected in Wuhan, China, from August 2011 to December 2019. The Pfubp1 and pfap2mu SNPs of P. falciparum were determined by nested PCR and Sanger sequencing.

RESULTS

In total, 296 samples were collected. Subsequently, 92.23% (273/296) were successfully amplified and sequenced for Pfubp1. There were 60.07% (164/273) wild-type strains and 39.93% (109/273) mutant strains. The pfap2mu gene was divided into three fragments for amplification, and 82.77% (245/296), 90.20% (267/296) and 94.59% (280/296) were sequenced successfully. Genotypes reportedly associated with ACTs resistance detected in this study included pfubp1 D1525E as well as E1528D and pfap2mu S160N. The mutation prevalence rates were 10.99% (30/273), 13.19% (36/273) and 11.24% (30/267), respectively. These are all focused on Congo, Nigeria and Angola. Known delayed-clearance parasite mutations have also been found in SEA.

CONCLUSIONS

The existence of mutation sites of known clearance genes detected in the isolates in this study, including D1525E and E1528D in the pfubp1 gene and S160N in the pfap2mu gene, further proved the risk of ACTs resistance. Constant vigilance is therefore needed to protect the effectiveness of ACTs and to prevent the spread of drug-resistant P. falciparum. Further studies in malaria-endemic countries are needed to further validate potential genetic markers for monitoring parasite populations in Africa and SEA.

Loop-mediated isothermal amplification (LAMP) assays targeting 18S ribosomal RNA genes for identifying P. vivax and P. ovale species and mitochondrial DNA for detecting the genus Plasmodium

Background

Loop-mediated isothermal amplification (LAMP) has been widely used to diagnose various infectious diseases. Malaria is a globally distributed infectious disease attributed to parasites in the genus Plasmodium. It is known that persons infected with Plasmodium vivax and P. ovale are prone to clinical relapse of symptomatic blood-stage infections. LAMP has not previously been specifically evaluated for its diagnostic performance in detecting P. ovale in an epidemiological study, and no commercial LAMP or rapid diagnostic test (RDT) kits are available for specifically diagnosing infections with P. ovale.

Methods

An assay was designed to target a portion of mitochondrial DNA (mtDNA) among Plasmodium spp., the five human Plasmodium species and two other assays were designed to target the nuclear 18S ribosomal DNA gene (18S rDNA) of either P. vivax or P. ovale for differentiating the two species. The sensitivity of the assays was compared to that of nested PCR using defined concentrations of plasmids containing the target sequences and using limiting dilutions prepared from clinical isolates derived from Chinese workers who had become infected in Africa or near the Chinese border with Myanmar.

Results

The results showed that 10² copies of the mitochondrial target or 10² and 10³ copies of 18S rDNA could be detected from Plasmodium spp., P. vivax and P. ovale, respectively. In 279 clinical samples, the malaria Pan mtDNA LAMP test performed well when compared with a nested PCR assay (95% confidence interval [CI] sensitivity 98.48–100%; specificity 90.75–100%). When diagnosing clinical cases of infection with P. vivax, the 18S rDNA assay demonstrated an even great sensitivity (95.85–100%) and specificity (98.1–100%). The same was true for clinical infections with P. ovale (sensitivity 90.76–99.96%; specificity 98.34–100%). Using plasmid-positive controls, the limits of detection of Malaria Pan, 18S rDNA P. vivax and 18S rDNA P. ovale LAMP were 100-, 100- and tenfold lower than those of PCR, respectively.

Conclusion

The novel LAMP assays can greatly aid the rapid, reliable and highly sensitive diagnosis of infections of Plasmodium spp. transmitted among people, including P. vivax and P. ovale, cases of which are most prone to clinical relapse.

Graphic abstract

Supplementary Information

The online version contains supplementary material available at 10.1186/s13071-021-04764-9.