Zika fever, a mosquito-borne infectious disease caused by Zika virus (ZIKV), is an epidemic disease for which no effective therapy has been established. The recent outbreaks of ZIKV in Brazil and French Polynesia have been linked to a considerable increase in the incidence of fetal microcephaly and other diseases such as Guillain-Barre syndrome. Because there is currently no specific therapy or vaccine, the early exploitation of a method to prevent expansion of ZIKV is a high priority. To validate commonly used antiviral drugs, we evaluated the effect of ribavirin, a drug used to treat hepatitis C with interferon-β (IFN-β), on ZIKV replication. In mammalian cells, we observed an inhibitory effect of ribavirin on ZIKV replication and ZIKV-induced cell death without cytotoxic effect. Furthermore, we found that STAT1-deficient mice, which lack type I IFN signaling, were highly sensitive to ZIKV infection and exhibited lethal outcome. Ribavirin abrogated viremia in ZIKV-infected STAT-1-deficient mice. These data suggest that the inhibition of viral RNA-dependent RNA polymerases may be effective for treatment of ZIKV infection. Our data provide a new insight into the mechanisms for inhibition of ZIKV replication and prevention of Zika fever.
The recent development of a nanopore-type portable DNA sequencer has changed the way we think about DNA sequencing. We can perform sequencing directly in the field, where we collect the samples. Here, we report the development of a novel method to detect and genotype tropical disease pathogens, using dengue fever as a model. By combining the sequencer with isothermal amplification that only requires a water bath, we were able to amplify and sequence target viral genomes with ease. Starting from a serum sample, the entire procedure could be finished in a single day. The analysis of blood samples collected from 141 Indonesian patients demonstrated that this method enables the clinical identification and serotyping of the dengue virus with high sensitivity and specificity. The overall successful detection rate was 79%, and a total of 58 SNVs were detected. Similar analyses were conducted on 80 Vietnamese and 12 Thai samples with similar performance. Based on the obtained sequence information, we demonstrated that this approach is able to produce indispensable information for etiologically analyzing annual or regional diversifications of the pathogens.
Here, we report the application of a portable sequencer, MinION, for genotyping the malaria parasite Plasmodium falciparum. In the present study, an amplicon mixture of nine representative genes causing resistance to anti-malaria drugs is diagnosed. First, we developed the procedure for four laboratory strains (3D7, Dd2, 7G8, and K1), and then applied the developed procedure to ten clinical samples. We sequenced and re-sequenced the samples using the obsolete flow cell R7.3 and the most recent flow cell R9.4. Although the average base-call accuracy of the MinION sequencer was 74.3%, performing >50 reads at a given position improves the accuracy of the SNP call, yielding a precision and recall rate of 0.92 and 0.8, respectively, with flow cell R7.3. These numbers increased significantly with flow cell R9.4, in which the precision and recall are 1 and 0.97, respectively. Based on the SNP information, the drug resistance status in ten clinical samples was inferred. We also analyzed K13 gene mutations from 54 additional clinical samples as a proof of concept. We found that a novel amino-acid changing variation is dominant in this area. In addition, we performed a small population-based analysis using 3 and 5 cases (K13) and 10 and 5 cases (PfCRT) from Thailand and Vietnam, respectively. We identified distinct genotypes from the respective regions. This approach will change the standard methodology for the sequencing diagnosis of malaria parasites, especially in developing countries.
Infectious disease is still a major threat in the world today. Five decades ago, it was considered soon to be eradicated, but the adaptation of pathogens to environmental pressure, such as antimicrobials, encouraged the emergence and reemergence of infectious disease. The fight with infectious disease starts with prevention, diagnosis, and treatment. Diagnosis can be upheld by observing the cause of disease under the microscope or detecting the presence of nucleic acid and proteins of the pathogens. The molecular techniques span from classical polymerase chain reaction (PCR) to sequencing the nucleic acid composition. Here, we are reviewing the works have been undertaken to utilize a portable sequencer, MinION, in various aspects of infectious disease management.
BackgroundThe recent spread of artemisinin (ART)-resistant Plasmodium falciparum represents an emerging global threat to public health. In Southeast Asia, the C580Y mutation of kelch13 (k13) is the dominant mutation of ART-resistant P. falciparum. Therefore, a simple method for the detection of C580Y mutation is urgently needed to enable widespread routine surveillance in the field. The aim of this study is to develop a new diagnostic procedure for the C580Y mutation using loop-mediated isothermal amplification (LAMP) combined with the MinION nanopore sequencer.ResultsA LAMP assay for the k13 gene of P. falciparum to detect the C580Y mutation was successfully developed. The detection limit of this procedure was 10 copies of the reference plasmid harboring the k13 gene within 60 min. Thereafter, amplicon sequencing of the LAMP products using the MinION nanopore sequencer was performed to clarify the nucleotide sequences of the gene. The C580Y mutation was identified based on the sequence data collected from MinION reads 30 min after the start of sequencing. Further, clinical evaluation of the LAMP assay in 34 human blood samples collected from patients with P. falciparum malaria in Indonesia revealed a positive detection rate of 100%. All LAMP amplicons of up to 12 specimens were simultaneously sequenced using MinION. The results of sequencing were consistent with those of the conventional PCR and Sanger sequencing protocol. All procedures from DNA extraction to variant calling were completed within 3 h. The C580Y mutation was not found among these 34 P. falciparum isolates in Indonesia.ConclusionsAn innovative method combining LAMP and MinION will enable simple, rapid, and high-sensitivity detection of the C580Y mutation of P. falciparum, even in resource-limited situations in developing countries.Electronic supplementary materialThe online version of this article (10.1186/s12936-018-2362-x) contains supplementary material, which is available to authorized users.
No abstract
Current studies have indicated association of gut microbiome composition with varieties of disorders including infectious diseases. The microbiome composition is different among races and countries, possibly resulting in diversified interaction between host immune and gut microbiome. Characterization of the baseline microbiota in healthy people is an essential step to understand this biological interaction in individual populations. However, data on gut/fecal microbiome has not been accumulated in West Africa. In the present study, we examined fecal microbiome composition in healthy adults in Ghana. The 16S rRNA gene libraries were prepared using bacteria fractions derived from 55 Ghanaian adults and subjected to next generation sequencing. Fecal microbiome of Ghanaian adults was dominated by Firmicutes (Faecalibacterium, Subdoligranulum, and Ruminococcaceae UCG-014), Proteobacteria (Escherichia-Shigella and Klebsiella), and Bacteroidetes (Prevotella 9 and Bacteroides), consistent with previous observations in African cohorts. Analysis found difference in composition and lower diversity of fecal microbiome in our cohort compared to non-African countries. This is the first study that describes substantial fecal microbiome data obtained by using high throughput metagenomic tools in Ghana. These data would be valuable as a basis for determination of the association between fecal microbiome and progression of varieties of diseases in West African populations.
BackgroundA simple and accurate molecular diagnostic method for malaria is urgently needed due to the limitations of conventional microscopic examination. In this study, we demonstrate a new diagnostic procedure for human malaria using loop mediated isothermal amplification (LAMP) and the MinION™ nanopore sequencer.MethodsWe generated specific LAMP primers targeting the 18S–rRNA gene of all five human Plasmodium species including two P. ovale subspecies (P. falciparum, P. vivax, P. ovale wallikeri, P. ovale curtisi, P. knowlesi and P. malariae) and examined human blood samples collected from 63 malaria patients in Indonesia. Additionally, we performed amplicon sequencing of our LAMP products using MinION™ nanopore sequencer to identify each Plasmodium species.ResultsOur LAMP method allowed amplification of all targeted 18S–rRNA genes of the reference plasmids with detection limits of 10–100 copies per reaction. Among the 63 clinical samples, 54 and 55 samples were positive by nested PCR and our LAMP method, respectively. Identification of the Plasmodium species by LAMP amplicon sequencing analysis using the MinION™ was consistent with the reference plasmid sequences and the results of nested PCR.ConclusionsOur diagnostic method combined with LAMP and MinION™ could become a simple and accurate tool for the identification of human Plasmodium species, even in resource-limited situations.Electronic supplementary materialThe online version of this article (10.1186/s12879-017-2718-9) contains supplementary material, which is available to authorized users.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.