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This is the first study reporting whole genome sequences of two CHIKV strains (KJ679577 and KJ679578) isolated from Eastern Indian patients sera during 2010–2011 outbreak, both of which were of ECSA genotype, but from different subgroups: Indian Ocean outbreak and ECSA subtypes. Furthermore, viral sequences were analyzed using different in-silico approaches to identify potential genetic variations that might have functional implications on various aspects of virus replication, viral protein functionality, immunogenicity and transmission. Epitope prediction analysis revealed 70.9% increase in number of MHC Class-II interacting epitopes of KJ679578 and 25–28% increase in Class-I interacting epitopes of KJ679577 and KJ679578 compared to that of EF027141 (CHIKV of Asian genotype circulating in India during 1973, after which CHIKV infection disappeared from India for three decades). CHIKV peptides DLAKLAFKRSSKYDLECAQIPVHMKSDA and KVVLCGDPKQCGFFNMMQMKYNYNHNI were predicted to interact with maximum number of HLA Class-I (68 and 76.5%, respectively) and Class-II (47 and 100%, respectively) alleles present within Indian population with allele frequency of > 0.1 and were also recognized as predicted B-cell epitopes with BCPred score between 0.766 and 0.961 and with antigenicity ranging from 0.52 to 1.69; thus these peptides might be used to induce T- and B-cell-mediated immunity against CHIKV. Thus, the present study might help to bridge the gap between virus microevolution and its implication in host immunity by taking into account viral genetic and conformational changes. Predicted epitopes might be used as promising targets for peptide-based vaccine development and rapid diagnostics against CHIKV infection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13205-018-1339-3) contains supplementary material, which is available to authorized users.

Chikungunya virus (CHIKV) infection leads to activation of innate immune response by triggering Toll-like receptor (TLR) pathways resulting in elevated cytokines and type-I interferon levels. Genetic variations of these genes may influence human CHIKV-susceptibility and disease progression. Present study aimed to identify role of TLR polymorphisms in CHIKV-susceptibility and their association with cytokines and clinical symptoms. This is the first study illustrating certain genotypes of TLR-7 and TLR-8 SNPs viz. CT(p = 0.002)]; rs3853839[GC(p < 0.001), CC(p = 0.039)] and rs3764879[GC(p < 0.001)] were considerably associated with CHIKV susceptibility. Increased risk of CHIKV infection among male patients with CC-genotype (rs179010) (p = 0.028) and female patients with GT-genotype (rs5741880) (p = 0.019) was observed. Significant higher IFN-α (P = 0.002) levels among chikungunya TNF-α (P = 0.034) patients was reported. Chikungunya patients with rs179010-CC genotype showed significantly high IFN-α level(p = 0.003). Thus, these TLR variants might act as potential prognostic biomarkers for predicting CHIKV susceptibility among uninfected individuals.

After a gap of three decades, from 2005 onwards, a series of Chikungunya virus (CHIKV) outbreaks occurred worldwide. This study was performed to detect CHIKV infection, its genotype among symptomatic Eastern Indian patients and to analyze any association between the presence of CHIKV genome in patient body with appearance of disease symptoms (n = 199). Plasma-extracted viral RNA was reverse transcribed to cDNA and PCR-amplified followed by agarose gel electrophoresis. Viral load among CHIKV-positive patients was determined by real time RT-PCR. CHIKV-IgM in sera was detected by ELISA. Sequencing and phylogenetic analysis of plasma-extracted PCR products was done. CHIKV genome and IgM were detected among 65.3% (n = 130) and 41.2% (n = 82) patients respectively. Joint swelling was significantly associated with CHIKV infection (P-value: 0.0003). CHIKV PCR positive patients were grouped in two categories: Group-I: viral load

After a gap of three decades, from 2005 onwards, a series of Chikungunya virus (CHIKV) outbreaks occurred worldwide. This study was performed to detect CHIKV infection, its genotype among symptomatic Eastern Indian patients and to analyze any association between the presence of CHIKV genome in patient body with appearance of disease symptoms (n = 199). Plasma-extracted viral RNA was reverse transcribed to cDNA and PCR-amplified followed by agarose gel electrophoresis. Viral load among CHIKV-positive patients was determined by real time RT-PCR. CHIKV-IgM in sera was detected by ELISA. Sequencing and phylogenetic analysis of plasma-extracted PCR products was done. CHIKV genome and IgM were detected among 65.3% (n = 130) and 41.2% (n = 82) patients respectively. Joint swelling was significantly associated with CHIKV infection (P-value: 0.0003). CHIKV PCR positive patients were grouped in two categories: Group-I: viral load10(4) copies/ml and Group-II: viral load ≥10(4) copies/ml. Higher number of acute stage patients clustered in Group-II. Fever and joint swelling were significantly more prevalent among Group-II patients, whereas rash and diarrhoea among Group-I patients (P-value0.05). Patient-isolated CHIKV sequences clustered with CHIKV ECSA genotypes in the phylogenetic tree, with two types of CHIKV strains found to circulate among them-as indicated by their different nucleotide sequences. This is the first study detecting the presence of CHIKV ECSA genotype among Eastern Indian patients. Fever and joint swelling might have appeared first followed by rash, diarrhea during disease progression-as indicated by CHIK viral load in patients. Thus, viral load can be used as unique diagnostic and prognostic marker of Chikungunya disease pathogenesis.