Vishal Kapoor

Middle East Respiratory Syndrome Coronavirus in Bats, Saudi Arabia

The source of human infection with Middle East respiratory syndrome coronavirus remains unknown. Molecular investigation indicated that bats in Saudi Arabia are infected with several alphacoronaviruses and betacoronaviruses. Virus from 1 bat showed 100% nucleotide identity to virus from the human index case-patient. Bats might play a role in human infection.

MassTag Polymerase-Chain-Reaction Detection of Respiratory Pathogens, Including a New Rhinovirus Genotype, That Caused Influenza-Like Illness in New York State during 2004–2005

Abstract In New York State during winter 2004, there was a high incidence of influenza-like illness that tested negative both for influenza virus, by molecular methods, and for other respiratory viruses, by virus culture. Concern that a novel pathogen might be implicated led us to implement a new multiplex diagnostic tool. MassTag polymerase chain reaction resolved 26 of 79 previously negative samples, revealing the presence of rhinoviruses in a large proportion of samples, half of which belonged to a previously uncharacterized genetic clade. In some instances, knowledge of the detected viral and/or bacterial (co)infection could have altered clinical management

Middle East Respiratory Syndrome Coronavirus Infection in Dromedary Camels in Saudi Arabia

ABSTRACT The Middle East respiratory syndrome (MERS) is proposed to be a zoonotic disease; however, the reservoir and mechanism for transmission of the causative agent, the MERS coronavirus, are unknown. Dromedary camels have been implicated through reports that some victims have been exposed to camels, camels in areas where the disease has emerged have antibodies to the virus, and viral sequences have been recovered from camels in association with outbreaks of the disease among humans. Nonetheless, whether camels mediate transmission to humans is unresolved. Here we provide evidence from a geographic and temporal survey of camels in the Kingdom of Saudi Arabia that MERS coronaviruses have been circulating in camels since at least 1992, are distributed countrywide, and can be phylogenetically classified into clades that correlate with outbreaks of the disease among humans. We found no evidence of infection in domestic sheep or domestic goats. IMPORTANCE This study was undertaken to determine the historical and current prevalence of Middle East respiratory syndrome (MERS) coronavirus infection in dromedary camels and other livestock in the Kingdom of Saudi Arabia, where the index case and the majority of cases of MERS have been reported. This study was undertaken to determine the historical and current prevalence of Middle East respiratory syndrome (MERS) coronavirus infection in dromedary camels and other livestock in the Kingdom of Saudi Arabia, where the index case and the majority of cases of MERS have been reported.

Streptococcus pneumoniae Coinfection Is Correlated with the Severity of H1N1 Pandemic Influenza

Background Initial reports in May 2009 of the novel influenza strain H1N1pdm estimated a case fatality rate (CFR) of 0.6%, similar to that of seasonal influenza. In July 2009, however, Argentina reported 3056 cases with 137 deaths, representing a CFR of 4.5%. Potential explanations for increased CFR included virus reassortment or genetic drift, or infection of a more vulnerable population. Virus genomic sequencing of 26 Argentinian samples representing both severe and mild disease indicated no evidence of reassortment, mutations associated with resistance to antiviral drugs, or genetic drift that might contribute to virulence. Furthermore, no evidence was found for increased frequency of risk factors for H1N1pdm disease. Methods/Principal Findings We examined nasopharyngeal swab samples (NPS) from 199 cases of H1N1pdm infection from Argentina with MassTag PCR, testing for 33 additional microbial agents. The study population consisted of 199 H1N1pdm-infected subjects sampled between 23 June and 4 July 2009. Thirty-nine had severe disease defined as death (n = 20) or hospitalization (n = 19); 160 had mild disease. At least one additional agent of potential pathogenic importance was identified in 152 samples (76%), including Streptococcus pneumoniae (n = 62); Haemophilus influenzae (n = 104); human respiratory syncytial virus A (n = 11) and B (n = 1); human rhinovirus A (n = 1) and B (n = 4); human coronaviruses 229E (n = 1) and OC43 (n = 2); Klebsiella pneumoniae (n = 2); Acinetobacter baumannii (n = 2); Serratia marcescens (n = 1); and Staphylococcus aureus (n = 35) and methicillin-resistant S. aureus (MRSA, n = 6). The presence of S. pneumoniae was strongly correlated with severe disease. S. pneumoniae was present in 56.4% of severe cases versus 25% of mild cases; more than one-third of H1N1pdm NPS with S. pneumoniae were from subjects with severe disease (22 of 62 S. pneumoniae-positive NPS, p = 0.0004). In subjects 6 to 55 years of age, the adjusted odds ratio (OR) of severe disease in the presence of S. pneumoniae was 125.5 (95% confidence interval [CI], 16.95, 928.72; p<0.0001). Conclusions/Significance The association of S. pneumoniae with morbidity and mortality is established in the current and previous influenza pandemics. However, this study is the first to demonstrate the prognostic significance of non-invasive antemortem diagnosis of S. pneumoniae infection and may provide insights into clinical management.

A Recently Identified Rhinovirus Genotype Is Associated with Severe Respiratory-Tract Infection in Children in Germany

Abstract Acute respiratory infection is a significant cause of morbidity and mortality in children worldwide. Accurate identification of causative agents is critical to case management and to prioritization in vaccine development. Sensitive multiplex diagnostics provide us with an opportunity to investigate the relative contributions of individual agents andmayalso facilitate the discovery of new pathogens. Recently, application of MassTag polymerase chain reaction (PCR) to undiagnosed infuenza-like illness in New York State led to the discovery of a novel rhinovirus genotype. Here we report the investigation, by MassTag PCR, of pediatric respiratory-tract infections in Germany, studying 97 cases for which no pathogen was identified through routine laboratory evaluation. Respiratory viruses were identified in 49 cases (51%); of the 55 identified viruses, 41 (75%) were rhinoviruses. The novel genotype represented 73% of rhinoviruses and 55% of all identified viruses. Infections with the novel genotype were associated with upper-respiratory-tract symptoms but, more frequently, with bronchitis, bronchiolitis, and pneumonia.

Diagnostic system for rapid and sensitive differential detection of pathogens

Naturally emerging and deliberately released pathogens demand new detection strategies to allow early recognition and containment. We describe a diagnostic system for rapid, sensitive, multiplex discrimination of microbial gene sequences and report its application for detecting 22 respiratory pathogens in clinical samples.

Batai and Ngari Viruses: M Segment Reassortment and Association with Severe Febrile Disease Outbreaks in East Africa

ABSTRACT Ngari virus is an orthobunyavirus recently recognized as a reassortant between Bunyamwera virus and an as yet unidentified M segment donor. Analysis of M segment sequences of Batai and Ilesha viruses revealed 95% deduced amino acid identity between Batai virus and Ngari virus. These findings suggest Batai virus as the donor of Ngari virus M segment sequence. Analysis of Batai virus-related African isolates identified UgMP-6830, isolated from mosquitoes in Uganda, as an isolate of Batai virus. KV-141, isolated during a febrile disease outbreak in Sudan, was identified as another isolate of Ngari virus, emphasizing a role of this reassortant virus in severe human illness throughout East Africa.

Global Distribution of Novel Rhinovirus Genotype

Global surveillance for a novel rhinovirus genotype indicated its association with community outbreaks and pediatric respiratory disease in Africa, Asia, Australia, Europe, and North America. Molecular dating indicates that these viruses have been circulating for at least 250 years.

Multiplex MassTag-PCR for respiratory pathogens in pediatric nasopharyngeal washes negative by conventional diagnostic testing shows a high prevalence of viruses belonging to a newly recognized rhinovirus clade

Abstract Background Respiratory infections are the most common infectious diseases in humans worldwide and are a leading cause of death in children less than 5 years of age. Objectives Identify candidate pathogens in pediatric patients with unexplained respiratory disease. Study design Forty-four nasopharyngeal washes collected during the 2004–2005 winter season from pediatric patients with respiratory illnesses that tested negative for 7 common respiratory pathogens by culture and direct immunofluorescence assays were analyzed by MassTag-PCR. To distinguish human enteroviruses (HEV) and rhinoviruses (HRV), samples positive for picornaviruses were further characterized by sequence analysis. Results Candidate pathogens were detected by MassTag PCR in 27 of the 44 (61%) specimens that previously were rated negative. Sixteen of these 27 specimens (59%) contained picornaviruses; of these 9 (57%) contained RNA of a recently discovered clade of rhinoviruses. Bocaviruses were detected in three patients by RT-PCR. Conclusions Our study confirms that multiplex MassTag-PCR enhances the detection of pathogens in clinical specimens, and shows that previously unrecognized rhinoviruses, that potentially form a species HRV-C, may cause a significant amount of pediatric respiratory disease.

Greene SCPrimer: a rapid comprehensive tool for designing degenerate primers from multiple sequence alignments

Polymerase chain reaction (PCR) is widely applied in clinical and environmental microbiology. Primer design is key to the development of successful assays and is often performed manually by using multiple nucleic acid alignments. Few public software tools exist that allow comprehensive design of degenerate primers for large groups of related targets based on complex multiple sequence alignments. Here we present a method for designing such primers based on tree building followed by application of a set covering algorithm, and demonstrate its utility in compiling Multiplex PCR primer panels for detection and differentiation of viral pathogens.