scholarly journals Development of single step RT-PCR for detection of Kyasanur forest disease virus from clinical samples

Heliyon ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. e00549 ◽  
Author(s):  
Gouri Chaubal ◽  
Prasad Sarkale ◽  
Pravin Kore ◽  
Pragya Yadav
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sathishkumar Arumugam ◽  
Prasad Varamballi

AbstractKyasanur forest disease virus (KFDV) causing tick-borne hemorrhagic fever which was earlier endemic to western Ghats, southern India, it is now encroaching into new geographic regions, but there is no approved medicine or effective vaccine against this deadly disease. In this study, we did in-silico design of multi-epitope subunit vaccine for KFDV. B-cell and T-cell epitopes were predicted from conserved regions of KFDV envelope protein and two vaccine candidates (VC1 and VC2) were constructed, those were found to be non-allergic and possess good antigenic properties, also gives cross-protection against Alkhurma hemorrhagic fever virus. The 3D structures of vaccine candidates were built and validated. Docking analysis of vaccine candidates with toll-like receptor-2 (TLR-2) by Cluspro and PatchDock revealed strong affinity between VC1 and TLR2. Ligplot tool was identified the intermolecular hydrogen bonds between vaccine candidates and TLR-2, iMOD server confirmed the stability of the docking complexes. JCAT sever ensured cloning efficiency of both vaccine constructs and in-silico cloning into pET30a (+) vector by SnapGene showed successful translation of epitope region. IMMSIM server was identified increased immunological responses. Finally, multi-epitope vaccine candidates were designed and validated their efficiency, it may pave the way for up-coming vaccine and diagnostic kit development.


2009 ◽  
Vol 15 (2) ◽  
pp. 326-328 ◽  
Author(s):  
Jinglin Wang ◽  
Hailin Zhang ◽  
Shihong Fu ◽  
Huanyu Wang ◽  
Daxin Ni ◽  
...  

2021 ◽  
Vol 17 (12) ◽  
pp. e1009678
Author(s):  
Rebecca M. Broeckel ◽  
Friederike Feldmann ◽  
Kristin L. McNally ◽  
Abhilash I. Chiramel ◽  
Gail L. Sturdevant ◽  
...  

Kyasanur Forest disease virus (KFDV) and the closely related Alkhurma hemorrhagic disease virus (AHFV) are emerging flaviviruses that cause severe viral hemorrhagic fevers in humans. Increasing geographical expansion and case numbers, particularly of KFDV in southwest India, class these viruses as a public health threat. Viral pathogenesis is not well understood and additional vaccines and antivirals are needed to effectively counter the impact of these viruses. However, current animal models of KFDV pathogenesis do not accurately reproduce viral tissue tropism or clinical outcomes observed in humans. Here, we show that pigtailed macaques (Macaca nemestrina) infected with KFDV or AHFV develop viremia that peaks 2 to 4 days following inoculation. Over the course of infection, animals developed lymphocytopenia, thrombocytopenia, and elevated liver enzymes. Infected animals exhibited hallmark signs of human disease characterized by a flushed appearance, piloerection, dehydration, loss of appetite, weakness, and hemorrhagic signs including epistaxis. Virus was commonly present in the gastrointestinal tract, consistent with human disease caused by KFDV and AHFV where gastrointestinal symptoms (hemorrhage, vomiting, diarrhea) are common. Importantly, RNAseq of whole blood revealed that KFDV downregulated gene expression of key clotting factors that was not observed during AHFV infection, consistent with increased severity of KFDV disease observed in this model. This work characterizes a nonhuman primate model for KFDV and AHFV that closely resembles human disease for further utilization in understanding host immunity and development of antiviral countermeasures.


2020 ◽  
Vol 13 (1) ◽  
Author(s):  
A. M. Nikiforuk ◽  
K. Tierny ◽  
T. A. Cutts ◽  
D. K. Kobasa ◽  
S. S. Theriault ◽  
...  

2021 ◽  
Author(s):  
Sathishkumar Arumugam

Abstract Kyasanur Forest Disease Virus (KFDV) causing common tick-borne hemorrhagic fever in south India, there is no approved anti-viral or efficacious vaccine against this disease. Recent KFDV spread into new geographic locations gives urgent call for development of new vaccine and drugs. In this study, we adapted in-silico approach to design multi-epitope subunit vaccine for KFDV. Conserved regions of KFDV envelope protein sequences reported during 1962 to 2016 were identified. Eight different immuno-informatics tools were employed to predict the linear B-cell and T-cell epitopes, high scored and/or multi-immunogenic epitopes were linked together and obtained two vaccine candidates (VC1 and VC2). Obtained vaccine candidates were found to be non-allergic and had good antigenic properties, also gives the cross-protection against to Alkhurma Hemorrhagic Fever virus (AHFV). The 3D structures of vaccine candidates were built and validated. Docking of vaccine candidates with toll-like receptor-8 (TLR-8) was performed by Hex 8.0 and Cluspro, highest binding energy observed between VC2 and TLR8. JCAT sever confirmed cloning efficiency of both vaccine constructs and in-silico cloning into pET30a (+) vector by SnapGene suggests successful translation of vaccine constructs. In this study, multi-epitope vaccine candidates were designed and validated, it paves the way for up-coming vaccine and diagnostic kit development.


2019 ◽  
Vol 56 (3) ◽  
pp. 212
Author(s):  
Devendra Mourya ◽  
Pragya Yadav ◽  
Gouri Chaubal ◽  
Sarita Jena ◽  
Pratip Shil

2016 ◽  
Vol 72 (7) ◽  
pp. 418-422
Author(s):  
Qinghong Xue ◽  
Hui Guo ◽  
Zhongze Feng ◽  
Jia Wang

Avian encephalomyelitis is an epidemic disease caused by avian encephalomyelitis virus (AEV), which exerts egg drop, slow growth, decreased egg hatchability, rapid tremors and ataxia of the head and neck in chicks and laying hens. The availability of a robust diagnostic assay to confirm the infection of AEV is important for its prevention and control. Thus, this study aimed to develop and validate a rapid Real-time RT-PCR assay for the detection and quantification of AEV. The authors developed and validated a TaqMan-based fluorescent real-time RT-PCR with sensitivity, specificity and reproducibility for rapid detection of EAV. This assay was then applied on 52 clinical samples from 37 suspected chickens. The minimal detection limit of this method was 20 copies. No cross-reactivity with Newcastle disease virus (NDV), avian influenza virus (AIV), Marek’s disease virus (MDV) or avian leukosis virus (ALV) was observed. The intra- and inter-assay coefficients of variation were both below 2%. Of the 52 clinical samples analyzed using this assay, 33 samples were positive for AEV, yielding an agreement rate of 91.2% with RT-PCR and 88.2% with the agar diffusion test. In conclusion, we have successfully developed and validated a sensitive Real-time RT-PCR for rapid detection of AEV, which could be used in the early diagnosis, prevention and control, and epidemiological investigation of AEV.


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