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Abstract
PURPOSE OF REVIEW Molecular techniques offer the promise of improving diagnosis of lower respiratory tract infections. This review focuses on currently used molecular diagnostic techniques for various types of pneumonia and highlights potential future applications of this technology. RECENT FINDINGS Lower respiratory tract infections result in a high degree of morbidity and mortality, but a definitive microbiologic diagnosis is often not obtained by traditional culture or serologic methods. In addition, culture of certain organisms may be difficult or require extended periods of time. Molecular techniques have the potential to improve diagnostic yield and decrease time to pathogen identification. These techniques are also helpful in the determination of drug sensitivity and the understanding of transmission and outbreaks. Most currently used techniques employ some variation of the polymerase chain reaction. Limitations include high costs, the need for specialized equipment, and problems with false-positive and -negative results. SUMMARY Molecular diagnosis of pneumonia has the potential to improve identification of pathogens in patients with suspected lower respiratory tract infection. Limitations of molecular techniques currently prevent their widespread use, but future developments will likely lead to inclusion of these tests in routine diagnostic evaluations.
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Affiliation(s)
- Yvonne R Chan
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213, USA
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252
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Quan PL, Palacios G, Jabado OJ, Conlan S, Hirschberg DL, Pozo F, Jack PJM, Cisterna D, Renwick N, Hui J, Drysdale A, Amos-Ritchie R, Baumeister E, Savy V, Lager KM, Richt JA, Boyle DB, García-Sastre A, Casas I, Perez-Breña P, Briese T, Lipkin WI. Detection of respiratory viruses and subtype identification of influenza A viruses by GreeneChipResp oligonucleotide microarray. J Clin Microbiol 2007; 45:2359-64. [PMID: 17553978 PMCID: PMC1951265 DOI: 10.1128/jcm.00737-07] [Citation(s) in RCA: 89] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Acute respiratory infections are significant causes of morbidity, mortality, and economic burden worldwide. An accurate, early differential diagnosis may alter individual clinical management as well as facilitate the recognition of outbreaks that have implications for public health. Here we report on the establishment and validation of a comprehensive and sensitive microarray system for detection of respiratory viruses and subtyping of influenza viruses in clinical materials. Implementation of a set of influenza virus enrichment primers facilitated subtyping of influenza A viruses through the differential recognition of hemagglutinins 1 through 16 and neuraminidases 1 through 9. Twenty-one different respiratory virus species were accurately characterized, including a recently identified novel genetic clade of rhinovirus.
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Affiliation(s)
- Phenix-Lan Quan
- Jerome L. and Dawn Greene Infectious Disease Laboratory, Mailman School of Public Health, Columbia University, 722 West 168th Street, Room 1801, New York, NY 10032, USA
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253
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McErlean P, Shackelton L, Lambert S, Nissen M, Sloots T, Mackay I. Characterisation of a newly identified human rhinovirus, HRV-QPM, discovered in infants with bronchiolitis. J Clin Virol 2007; 39:67-75. [PMID: 17482871 PMCID: PMC7172271 DOI: 10.1016/j.jcv.2007.03.012] [Citation(s) in RCA: 159] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2007] [Accepted: 03/27/2007] [Indexed: 12/01/2022]
Abstract
BACKGROUND Human rhinoviruses (HRVs) are some of the earliest identified and most commonly detected viruses associated with acute respiratory tract infections (ARTIs) and yet the molecular epidemiology and genomic variation of individual serotypes remains undefined. OBJECTIVES To molecularly characterise a novel HRV and determine its prevalence and clinical impact on a predominantly paediatric population. STUDY DESIGN Nucleotide sequencing was employed to determine the complete HRV-QPM coding sequence. Two novel real-time RT-PCR diagnostic assays were designed and employed to retrospectively screen a well-defined population of 1244 specimen extracts to identify the prevalence of HRV-QPM during 2003. RESULTS Phylogenetic studies of complete coding sequences defined HRV-QPM as a novel member the genus Rhinovirus residing within the previously described HRV-A2 sub-lineage. Investigation of the relatively short VP1 sequence suggest that the virus is resistant to Pleconaril, setting it apart from the HRV A species. Sixteen additional HRV-QPM strains were detected (1.4% of specimens) often as the sole micro-organism present among infants with suspected bronchiolitis. HRV-QPM was also detected in Europe during 2006, and a closely related virus circulated in the United States during 2004. CONCLUSIONS We present the molecular characterisation and preliminary clinical impact of a newly identified HRV along with sequences representing additional new HRVs.
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Affiliation(s)
- P. McErlean
- Queensland Paediatric Infectious Diseases Laboratory, Sir Albert Sakzewski Virus Research Centre, Royal Children's Hospital, Queensland, Australia
- Clinical and Medical Virology Centre, University of Queensland, Queensland, Australia
| | - L.A. Shackelton
- Center for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, Mueller Laboratory, University Park, PA 16802, USA
| | - S.B. Lambert
- Queensland Paediatric Infectious Diseases Laboratory, Sir Albert Sakzewski Virus Research Centre, Royal Children's Hospital, Queensland, Australia
- Clinical and Medical Virology Centre, University of Queensland, Queensland, Australia
| | - M.D. Nissen
- Queensland Paediatric Infectious Diseases Laboratory, Sir Albert Sakzewski Virus Research Centre, Royal Children's Hospital, Queensland, Australia
- Clinical and Medical Virology Centre, University of Queensland, Queensland, Australia
- Division of Microbiology, Queensland Health Pathology Service, Royal Brisbane Hospitals Campus, Queensland, Australia
- Department of Paediatrics and Child Health, Royal Children's Hospitals, Queensland, Australia
| | - T.P. Sloots
- Queensland Paediatric Infectious Diseases Laboratory, Sir Albert Sakzewski Virus Research Centre, Royal Children's Hospital, Queensland, Australia
- Clinical and Medical Virology Centre, University of Queensland, Queensland, Australia
- Division of Microbiology, Queensland Health Pathology Service, Royal Brisbane Hospitals Campus, Queensland, Australia
- Department of Paediatrics and Child Health, Royal Children's Hospitals, Queensland, Australia
| | - I.M. Mackay
- Queensland Paediatric Infectious Diseases Laboratory, Sir Albert Sakzewski Virus Research Centre, Royal Children's Hospital, Queensland, Australia
- Clinical and Medical Virology Centre, University of Queensland, Queensland, Australia
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254
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Li H, McCormac MA, Estes RW, Sefers SE, Dare RK, Chappell JD, Erdman DD, Wright PF, Tang YW. Simultaneous detection and high-throughput identification of a panel of RNA viruses causing respiratory tract infections. J Clin Microbiol 2007; 45:2105-9. [PMID: 17507510 PMCID: PMC1932978 DOI: 10.1128/jcm.00210-07] [Citation(s) in RCA: 155] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Clinical presentations for viral respiratory tract infections are often nonspecific, and a rapid, high-throughput laboratory technique that can detect a panel of common viral pathogens is clinically desirable. We evaluated two multiplex reverse transcription-PCR (RT-PCR) products coupled with microarray-based systems for simultaneous detection of common respiratory tract viral pathogens. The NGEN respiratory virus analyte-specific assay (Nanogen, San Diego, CA) detects influenza A virus (Flu-A) and Flu-B, parainfluenza virus 1 (PIV-1), PIV-2, and PIV-3, and respiratory syncytial virus (RSV), while the ResPlex II assay (Genaco Biomedical Products, Inc., Huntsville, AL) detects Flu-A, Flu-B, PIV-1, PIV-2, PIV-3, PIV-4, RSV, human metapneumovirus (hMPV), rhinoviruses (RhVs), enteroviruses (EnVs), and severe acute respiratory syndrome (SARS) coronavirus (CoV). A total of 360 frozen respiratory specimens collected for a full year were tested, and results were compared to those obtained with a combined reference standard of cell culture and monoplex real-time TaqMan RT-PCR assays. NGEN and ResPlex II gave comparable sensitivities for Flu-A (82.8 to 86.2%), Flu-B (90.0 to 100.0%), PIV-1 (87.5 to 93.8%), PIV-3 (66.7 to 72.2%), and RSV (63.3 to 73.3%); both assays achieved excellent specificities (99.1 to 100.0%) for these five common viruses. The ResPlex II assay detected hMPV in 13 (3.6%) specimens, with a sensitivity of 80.0% and specificity of 99.7%. The ResPlex II assay also differentiated RSV-A and RSV-B and gave positive results for RhV and EnV in 31 (8.6%) and 19 (5.3%) specimens, respectively. PIV-2, PIV-4, and SARS CoV were not detected in the specimens tested. The two systems can process 80 (NGEN) and 96 (ResPlex II) tests per run, with a hands-on time of approximately 60 min and test turnaround times of 6 h (ResPlex II) and 9 h (NGEN). Multiple-panel testing detected an additional unsuspected 9 (3.4%) PIV-1 and 10 (3.7%) PIV-3 infections. While test sensitivities for RSV and PIV-3 need improvement, both the NGEN and ResPlex II assays provide user-friendly and high-throughput tools for simultaneous detection and identification of a panel of common respiratory viral pathogens in a single test format. The multiplex approach enhances diagnosis through detection of respiratory viral etiologic agents in cases in which the presence of the agent was not suspected and a test was not ordered by the clinicians.
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Affiliation(s)
- Haijing Li
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA
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255
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Palacios G, Quan PL, Jabado OJ, Conlan S, Hirschberg DL, Liu Y, Zhai J, Renwick N, Hui J, Hegyi H, Grolla A, Strong JE, Towner JS, Geisbert TW, Jahrling PB, Büchen-Osmond C, Ellerbrok H, Sanchez-Seco MP, Lussier Y, Formenty P, Nichol ST, Feldmann H, Briese T, Lipkin WI. Panmicrobial oligonucleotide array for diagnosis of infectious diseases. Emerg Infect Dis 2007; 13:73-81. [PMID: 17370518 PMCID: PMC2725825 DOI: 10.3201/eid1301.060837] [Citation(s) in RCA: 221] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
To facilitate rapid, unbiased, differential diagnosis of infectious diseases, we designed GreeneChipPm, a panmicrobial microarray comprising 29,455 sixty-mer oligonucleotide probes for vertebrate viruses, bacteria, fungi, and parasites. Methods for nucleic acid preparation, random primed PCR amplification, and labeling were optimized to allow the sensitivity required for application with nucleic acid extracted from clinical materials and cultured isolates. Analysis of nasopharyngeal aspirates, blood, urine, and tissue from persons with various infectious diseases confirmed the presence of viruses and bacteria identified by other methods, and implicated Plasmodium falciparum in an unexplained fatal case of hemorrhagic feverlike disease during the Marburg hemorrhagic fever outbreak in Angola in 2004-2005.
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Affiliation(s)
- Gustavo Palacios
- Columbia University, New York, New York, USA
- These authors contributed equally to this study
| | - Phenix-Lan Quan
- Columbia University, New York, New York, USA
- These authors contributed equally to this study
| | | | - Sean Conlan
- Columbia University, New York, New York, USA
| | | | - Yang Liu
- University of Chicago, Chicago, Illinois, USA
| | - Junhui Zhai
- Columbia University, New York, New York, USA
| | | | - Jeffrey Hui
- Columbia University, New York, New York, USA
| | - Hedi Hegyi
- Columbia University, New York, New York, USA
- Institute of Enzymology, Budapest, Hungary
| | - Allen Grolla
- Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | | | | | - Thomas W. Geisbert
- US Army Medical Research Institute of Infectious Diseases, Fort Detrick, Frederick, Maryland, USA
| | - Peter B. Jahrling
- National Institutes of Health Integrated Research Facility, Fort Detrick, Frederick, Maryland, USA
| | | | | | | | | | | | - Stuart T. Nichol
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Heinz Feldmann
- Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- University of Manitoba, Winnipeg, Manitoba, Canada
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