Kundan Tandel1, Mahadevan Kumar2, S P S Shergill3, Kavita Sahai4, R M Gupta5. 1. Assistant Professor (Microbiology), Army Hospital (R&R), Delhi Cantt 110010, India. 2. Professor (Microbiology), Army Hospital (R&R), Delhi Cantt 110010, India. 3. Assistant Professor (Microbiology), Command Hospital (Southern Command), Pune 411040, India. 4. Professor (Pathology) Department of Lab Sciences and Molecular Medicine, Army Hospital (R&R), Delhi 110010, India. 5. Dy Commandant, Command Hospital (Northern Command), Udhampur, India.
Abstract
BACKGROUND: Chikungunya virus is an alpha virus with high similarity to Dengue and Zika viruses, both in transmission cycle and in clinical presentation. Chikungunya is a re-emerging mosquito-borne infection known to cause small to very large outbreaks/epidemics at frequent intervals. In 2016, India witnessed a large outbreak of Chikungunya infection affecting more than 58,000 people. This study was undertaken to look at the genotypic phylogeny to know the relatedness with previously reported strains. METHODS: During the 2016 outbreak, samples from all patients clinically suspected to have Chikungunya were collected and subjected to testing for IgM antibody by ELISA and viral RNA detection by RT-PCR. Sequencing of the E1 gene segment was done to create a phylogenetic tree comparison with other strains. RESULTS: Serum samples were collected from 142 patients of clinically suspected Chikungunya infection. Majority of the patients were in the age group of 31-50 years accounting for more than 35% of the total cases. Twenty eight samples were positive for IgM antibody. Thirty seven samples were positive for viral RNA by RT-PCR. Only 06 cases were positive by both tests. Mutations in the amino acids K211E, M269V and D284E in the E1 gene segment of the Chikungunya virus were observed in the seven strains that were sequenced. On phylogeny tree, all the strains were found to belong to the ECSA genotype. CONCLUSION: Actively searching for the potential epidemic causing mutations and reporting of novel mutations may help in better understanding and probably forecasting of future CHIKV outbreaks and its nature.
BACKGROUND: Chikungunya virus is an alpha virus with high similarity to Dengue and Zika viruses, both in transmission cycle and in clinical presentation. Chikungunya is a re-emerging mosquito-borne infection known to cause small to very large outbreaks/epidemics at frequent intervals. In 2016, India witnessed a large outbreak of Chikungunya infection affecting more than 58,000 people. This study was undertaken to look at the genotypic phylogeny to know the relatedness with previously reported strains. METHODS: During the 2016 outbreak, samples from all patients clinically suspected to have Chikungunya were collected and subjected to testing for IgM antibody by ELISA and viral RNA detection by RT-PCR. Sequencing of the E1 gene segment was done to create a phylogenetic tree comparison with other strains. RESULTS: Serum samples were collected from 142 patients of clinically suspected Chikungunya infection. Majority of the patients were in the age group of 31-50 years accounting for more than 35% of the total cases. Twenty eight samples were positive for IgM antibody. Thirty seven samples were positive for viral RNA by RT-PCR. Only 06 cases were positive by both tests. Mutations in the amino acids K211E, M269V and D284E in the E1 gene segment of the Chikungunya virus were observed in the seven strains that were sequenced. On phylogeny tree, all the strains were found to belong to the ECSA genotype. CONCLUSION: Actively searching for the potential epidemic causing mutations and reporting of novel mutations may help in better understanding and probably forecasting of future CHIKV outbreaks and its nature.
Authors: Afjal Hossain Khan; Kouichi Morita; Maria Del Carmen Parquet; Futoshi Hasebe; Edward G M Mathenge; Akira Igarashi Journal: J Gen Virol Date: 2002-12 Impact factor: 3.891
Authors: Vidya A Arankalle; Shubham Shrivastava; Sarah Cherian; Rashmi S Gunjikar; Atul M Walimbe; Santosh M Jadhav; A B Sudeep; Akhilesh C Mishra Journal: J Gen Virol Date: 2007-07 Impact factor: 3.891
Authors: Kanti Laras; Nono C Sukri; Ria P Larasati; Michael J Bangs; Rizal Kosim; Tony Wandra; John Master; Herman Kosasih; Sri Hartati; Charmagne Beckett; Endang R Sedyaningsih; H James Beecham; Andrew L Corwin Journal: Trans R Soc Trop Med Hyg Date: 2005-02 Impact factor: 2.184
Authors: B Pastorino; J J Muyembe-Tamfum; M Bessaud; F Tock; H Tolou; J P Durand; C N Peyrefitte Journal: J Med Virol Date: 2004-10 Impact factor: 2.327
Authors: Prasanna N Yergolkar; Babasaheb V Tandale; Vidya A Arankalle; Padmakar S Sathe; A B Sudeep; Swati S Gandhe; Mangesh D Gokhle; George P Jacob; Supriya L Hundekar; Akhilesh C Mishra Journal: Emerg Infect Dis Date: 2006-10 Impact factor: 6.883
Authors: Philippe Parola; Xavier de Lamballerie; Jacques Jourdan; Clarisse Rovery; Véronique Vaillant; Philippe Minodier; Philippe Brouqui; Antoine Flahault; Didier Raoult; Rémi N Charrel Journal: Emerg Infect Dis Date: 2006-10 Impact factor: 6.883
Authors: Eduardo D Rodríguez-Aguilar; Jesús Martínez-Barnetche; Cesar R González-Bonilla; Juan M Tellez-Sosa; Rocío Argotte-Ramos; Mario H Rodríguez Journal: Viruses Date: 2021-12-31 Impact factor: 5.048