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Dive into the research topics where Yuri Khudyakov is active.

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Featured researches published by Yuri Khudyakov.


Memorias Do Instituto Oswaldo Cruz | 2005

Serological evidence of hepatitis E virus infection in different animal species from the Southeast of Brazil

Claudia Lamarca Vitral; Marcelo Alves Pinto; Lia Laura Lewis-Ximenez; Yuri Khudyakov; Debora Regina Lopes dos Santos; Ana Maria Coimbra Gaspar

Serological evidence of hepatitis E virus infection (HEV) has been observed in both humans and different animal species living in non-endemic areas, suggesting that animals could be important reservoir for virus transmission to man. Antibodies to HEV have been detected in some Brazilian population groups. Nevertheless, sporadic cases of acute HEV infection have never been reported. We collected 271 serum samples from several domestic animals and also from pig handlers from Southeast of Brazil in order to investigate the seroprevalence of HEV infection. Anti-HEV IgG was detected in cows (1.42%), dogs (6.97%), chickens (20%), swines (24.3%), and rodents (50%), as well as in pig handlers (6.3%). The recognition of swine HEV infections in pigs in many countries of the world led us to investigate a larger sample of pigs (n = 357) from the same Brazilian region with ages ranging from 1 to > 25 weeks. IgG anti-HEV was detected in 100% of 7-day old pigs. Following a gradual decline between weeks 2 and 8 (probably due to loss of maternal IgG), the prevalence then steady increased until it reached 97.3% of animals older than 25 weeks. Besides the detection of anti-HEV antibodies in different animal species, the results showed that swine HEV infection seems to be almost universal within this Brazilian pig population. This is the first report that shows evidences of HEV circulation in Brazilian animal species and pig handlers.


international symposium on bioinformatics research and applications | 2008

HCV quasispecies assembly using network flows

Kelly Westbrooks; Irina Astrovskaya; David S. Campo; Yuri Khudyakov; Piotr Berman; Alexander Zelikovsky

Understanding how the genomes of viruses mutate and evolve withininfected individuals is critically important in epidemiology. By exploiting knowledgeof the forces that guide viral microevolution, researchers can design drugsand treatments that are effective against newly evolved strains. Therefore, it iscritical to develop a method for typing the genomes of all of the variants of avirus (quasispecies) inside an infected individual cell. In this paper, we focus on sequence assembly of Hepatitis C Virus (HCV)based on 454 Lifesciences system that produces around 250K reads each 100-400 base long. We introduce several formulations of the quasispecies assemblyproblem and a measure of the assembly quality. We also propose a novel scalableassembling method for quasispecies based on a novel network flow formulation.Finally, we report the results of assembling 44 quasispecies from the 1700 bplong E1E2 region of HCV.


Archive | 1994

Hepatitis E Among Refugees in Kenya: Minimal Apparent Person-to-person Transmission, Evidence for Age-dependent Disease Expression, and New Serologic Assays

Eric E. Mast; Louis B. Polish; Michael O. Favorov; Carol Collins; Peter M. Tukei; David Koptich; Yuri Khudyakov; Howard A. Fields; Harold S. Margolis

In 1991, a large outbreak of hepatitis E occurred among refugees in Kenya. The overall clinical attack rate in the refugee camp was 6.3% (1702/26920). The primary attack rate in the entire refugee camp (4.8%) and the secondary attack rate in case-households (4.4%) were similar. Three recently developed tests were used for this investigation, including a synthetic peptide-based enzyme immuno-assay (EIA) to detect IgG antibody to hepatitis E virus (anti-HEV) and Western blot assays to detect IgG and IgM anti-HEV. In a sample of 132 case-patients, IgG anti-HEV was detected in 101 (77%) by peptide EIA and 96 (73%) by Western blot; the concordance between EIA and Western blot was 91%. Our findings suggest that >50% of HEV infections may have been anicteric and the expression of icterus with HEV infection was age-dependent. Moreover, in spite of poor hygienic conditions present in the refugee camp, little person-to-person transmission was apparent in households.


BMC Bioinformatics | 2013

Reconstruction of viral population structure from next-generation sequencing data using multicommodity flows

Pavel Skums; Nicholas Mancuso; Alexander Artyomenko; Bassam Tork; Ion I. Mandoiu; Yuri Khudyakov; Alexander Zelikovsky

BackgroundHighly mutable RNA viruses exist in infected hosts as heterogeneous populations of genetically close variants known as quasispecies. Next-generation sequencing (NGS) allows for analysing a large number of viral sequences from infected patients, presenting a novel opportunity for studying the structure of a viral population and understanding virus evolution, drug resistance and immune escape. Accurate reconstruction of genetic composition of intra-host viral populations involves assembling the NGS short reads into whole-genome sequences and estimating frequencies of individual viral variants. Although a few approaches were developed for this task, accurate reconstruction of quasispecies populations remains greatly unresolved.ResultsTwo new methods, AmpMCF and ShotMCF, for reconstruction of the whole-genome intra-host viral variants and estimation of their frequencies were developed, based on Multicommodity Flows (MCFs). AmpMCF was designed for NGS reads obtained from individual PCR amplicons and ShotMCF for NGS shotgun reads. While AmpMCF, based on covering formulation, identifies a minimal set of quasispecies explaining all observed reads, ShotMCS, based on packing formulation, engages the maximal number of reads to generate the most probable set of quasispecies. Both methods were evaluated on simulated data in comparison to Maximum Bandwidth and ViSpA, previously developed state-of-the-art algorithms for estimating quasispecies spectra from the NGS amplicon and shotgun reads, respectively. Both algorithms were accurate in estimation of quasispecies frequencies, especially from large datasets.ConclusionsThe problem of viral population reconstruction from amplicon or shotgun NGS reads was solved using the MCF formulation. The two methods, ShotMCF and AmpMCF, developed here afford accurate reconstruction of the structure of intra-host viral population from NGS reads. The implementations of the algorithms are available at http://alan.cs.gsu.edu/vira.html (AmpMCF) and http://alan.cs.gsu.edu/NGS/?q=content/shotmcf (ShotMCF).


in Silico Biology | 2011

Evaluation of viral heterogeneity using next-generation sequencing, end-point limiting-dilution and mass spectrometry

Zoya Dimitrova; David S. Campo; Gilberto Vaughan; Lilia Ganova-Raeva; Yulin Lin; Joseph C. Forbi; Guoliang Xia; Pavel Skums; Brian Pearlman; Yuri Khudyakov

Hepatitis C Virus sequence studies mainly focus on the viral amplicon containing the Hypervariable region 1 (HVR1) to obtain a sample of sequences from which several population genetics parameters can be calculated. Recent advances in sequencing methods allow for analyzing an unprecedented number of viral variants from infected patients and present a novel opportunity for understanding viral evolution, drug resistance and immune escape. In the present paper, we compared three recent technologies for amplicon analysis: (i) Next-Generation Sequencing; (ii) Clonal sequencing using End-point Limiting-dilution for isolation of individual sequence variants followed by Real-Time PCR and sequencing; and (iii) Mass spectrometry of base-specific cleavage reactions of a target sequence. These three technologies were used to assess intra-host diversity and inter-host genetic relatedness in HVR1 amplicons obtained from 38 patients (subgenotypes 1a and 1b). Assessments of intra-host diversity varied greatly between sequence-based and mass-spectrometry-based data. However, assessments of inter-host variability by all three technologies were equally accurate in identification of genetic relatedness among viral strains. These results support the application of all three technologies for molecular epidemiology and population genetics studies. Mass spectrometry is especially promising given its high throughput, low cost and comparable results with sequence-based methods.


Clinical Infectious Diseases | 2011

Genotypic Distribution of Hepatitis B Virus (HBV) Among Acute Cases of HBV Infection, Selected United States Counties, 1999–2005

Eyasu H. Teshale; Guoliang Xia; Henry Roberts; Justina Groeger; Vaughn Barry; Dale J. Hu; Scott D. Holmberg; Deborah Holtzman; John W. Ward; Chong-Gee Teo; Yuri Khudyakov

BACKGROUND Knowledge of the genotypic distribution of hepatitis B virus (HBV) facilitates epidemiologic tracking and surveillance of HBV infection as well as prediction of its disease burden. In the United States, HBV genotyping studies have been conducted for chronic but not acute hepatitis B. METHODS Serum samples were collected from patients with acute hepatitis B cases reported from the 6 counties that participated in the Sentinel Counties Study of Acute Viral Hepatitis from 1999 through 2005. Polymerase chain reaction followed by nucleotide sequencing of a 435-base pair segment of the HBV S gene was performed, and the sequences were phylogenetically analyzed. RESULTS Of 614 patients identified with available serum samples, 75% were infected with genotype A HBV and 18% were infected with genotype D HBV. Thirty-two percent of genotype A sequences constituted a single subgenotype A2 cluster. The odds of infection with genotype A (vs with genotype D) were 5 times greater among black individuals than among Hispanic individuals (odds ratio [OR], 5; 95% confidence interval [CI], 2.3-10.7). The odds of infection with genotype A were 49, 8, and 4 times greater among patients from Jefferson County (Alabama), Pinellas County (Florida), and San Francisco (California), respectively, than among those living in Denver County (Colorado). Genotype A was less common among recent injection drug users than it was among non-injection drug users (OR, 0.2; 95% CI, 0.1-0.4). CONCLUSIONS HBV genotype distribution was significantly associated with ethnicity, place of residence, and risk behavior.


in Silico Biology | 2011

Differences in variability of hypervariable region 1 of hepatitis C virus (HCV) between acute and chronic stages of HCV infection

Irina V. Astrakhantseva; David S. Campo; Aufra Araujo; Chong-Gee Teo; Yuri Khudyakov; Saleem Kamili

Distinguishing between acute and chronic HCV infections is clinically important given that early treatment of infected patients leads to high rates of sustained virological response. Analysis of 2179 clonal sequences derived from hypervariable region 1 (HVR1) of the HCV genome in samples obtained from patients with acute (n = 49) and chronic (n = 102) HCV infection showed that intra-host HVR1 diversity was 1.8 times higher in patients with chronic than acute infection. Significant differences in frequencies of 5 amino acids (positions 5, 7, 12, 16 and 18) and the average genetic distances among intra-host HVR1 variants were found using analysis of molecular variance. Differences were also observed in the polarity, volume and hydrophobicity of 10 amino acids (at positions 1, 4, 5, 12, 14, 15, 16, 21, 22 and 29). Based on these properties, a classification model could be constructed, which permitted HVR1 variants from acute and chronic cases to be discriminated with an accuracy of 88%. Progression from acute to chronic stage of HCV infection is accompanied by characteristic changes in amino acid composition of HVR1. Identifying these changes may permit diagnosis of recent HCV infection.


Bioinformatics | 2015

Computational framework for next-generation sequencing of heterogeneous viral populations using combinatorial pooling

Pavel Skums; Alexander Artyomenko; Olga Glebova; Ion I. Mandoiu; David S. Campo; Zoya Dimitrova; Alexander Zelikovsky; Yuri Khudyakov

MOTIVATION Next-generation sequencing (NGS) allows for analyzing a large number of viral sequences from infected patients, providing an opportunity to implement large-scale molecular surveillance of viral diseases. However, despite improvements in technology, traditional protocols for NGS of large numbers of samples are still highly cost and labor intensive. One of the possible cost-effective alternatives is combinatorial pooling. Although a number of pooling strategies for consensus sequencing of DNA samples and detection of SNPs have been proposed, these strategies cannot be applied to sequencing of highly heterogeneous viral populations. RESULTS We developed a cost-effective and reliable protocol for sequencing of viral samples, that combines NGS using barcoding and combinatorial pooling and a computational framework including algorithms for optimal virus-specific pools design and deconvolution of individual samples from sequenced pools. Evaluation of the framework on experimental and simulated data for hepatitis C virus showed that it substantially reduces the sequencing costs and allows deconvolution of viral populations with a high accuracy. AVAILABILITY AND IMPLEMENTATION The source code and experimental data sets are available at http://alan.cs.gsu.edu/NGS/?q=content/pooling.


in Silico Biology | 2011

Coordinated evolution of the Hepatitis B Virus Polymerase

David S. Campo; Zoya Dimitrova; James Lara; Mike Purdy; Hong Thai; Lilia Ganova-Raeva; X. Zhai; Joseph C. Forbi; Chong-Gee Teo; Yuri Khudyakov

The detection of compensatory mutations that abrogate negative fitness effects of drug-resistance and vaccine-escape mutations indicates the important role of epistatic connectivity in evolution of viruses, especially under the strong selection pressures. Mapping of epistatic connectivity in the form of coordinated substitutions should help to characterize molecular mechanisms shaping viral evolution and provides a tool for the development of novel anti-viral drugs and vaccines. We analyzed coordinated variation among amino acid sites in 370 the hepatitis B virus (HBV) polymerase sequences using Bayesian networks. Among the HBV polymerase domains the spacer domain separating terminal protein from the reverse-transcriptase domain, showed the highest network centrality. Coordinated substitutions preserve the hydrophobicity and charge of Spacer. Maximum likelihood estimates of codon selection showed that Spacer contains the highest number of positively selected sites. Identification of 67% of the domain lacking an ordered structure suggests that Spacer belongs to the class of intrinsically disordered domains and proteins whose crucial functional role in the regulation of transcription, translation and cellular signal transduction has only recently been recognized. Spacer plays a central role in the epistatic network associating substitutions across the HBV genome, including those conferring viral virulence, drug resistance and vaccine escape. The data suggest that Spacer is extensively involved in coordination of HBV evolution.


bioinformatics and biomedicine | 2011

Assessments of intra- and inter-host diversity of hepatitis C virus using Next Generation Sequencing and Mass spectrometry

Zoya Dimitrova; David S. Campo; Gilberto Vaughan; Lilia Ganova-Raeva; Yulin Lin; Joseph C. Forbi; Guoliang Xia; Pavel Skums; Brian Pearlman; Yuri Khudyakov

Recent advances in sequencing methods allow the analysis of an unprecedented number of viral variants from infected patients and present a novel opportunity for understanding viral evolution, drug resistance and immune escape. In the present paper, we compared three technologies for amplicon analysis: (i) Next Generation Sequencing; (ii) Clonal sequencing using End-point Limiting-dilution for isolation of individual sequence variants followed by Real-Time PCR and sequencing; and (iii) Mass spectrometry of base-specific cleavage reactions of a target sequence. Hypervariable region 1 of hepatitis C virus was analyzed using these three technologies to assess diversity and genetic relatedness of intra-host viral populations in specimens obtained from 38 patients. Estimates of population heterogeneity varied among technologies. However, all three technologies were equally accurate in identification of genetic relatedness among viral strains, supporting their application in molecular epidemiology for tracking viral variants and detecting transmission events.

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David S. Campo

Centers for Disease Control and Prevention

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Zoya Dimitrova

Centers for Disease Control and Prevention

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Chong-Gee Teo

Centers for Disease Control and Prevention

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Pavel Skums

Georgia State University

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Guoliang Xia

Centers for Disease Control and Prevention

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James Lara

Centers for Disease Control and Prevention

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Joseph C. Forbi

Centers for Disease Control and Prevention

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Lilia Ganova-Raeva

Centers for Disease Control and Prevention

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Ion I. Mandoiu

University of Connecticut

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