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Rapid Molecular Detection and Differentiation of Influenza Viruses A and B
Published on: January 30, 2017
Human parainfluenza virus 4 outbreak and the role of diagnostic tests
Susanna K P Lau1, Wing-Kin To, Philomena W T Tse
1Department of Microbiology, The University of Hong Kong, University Pathology Building, Queen Mary Hospital.
Abstract:
Owing to the difficulties in isolating the virus and the lack of routine surveillance, the clinical significance of human parainfluenza virus 4 (HPIV-4) is less well defined than that of the other human parainfluenza viruses. We describe the first outbreak of HPIV-4 infection in a developmental disabilities unit, involving 38 institutionalized children and three staff members, during a 3-week period in autumn 2004. Most subjects had upper respiratory tract infections (URTI), while lower respiratory tract infections (LRTI) occurred in three children (7%), one complicated by respiratory failure requiring ventilation support. All patients recovered. Nasopharyngeal aspirates tested for HPIV-4 were positive by reverse transcriptase PCR (RT-PCR) in all 41 cases (100%), by direct immunofluorescence in 29 of 39 tested cases (74%), and by cell cultures in 6 of 37 cases (16%), and serum was positive for antibodies against HPIV-4 in all 35 cases (100%) with serum samples available. In addition, RT-PCR detected HPIV-4 in four children (three LRTI and one URTI) out of 115 patients with community-acquired respiratory tract infection. Molecular analysis of the 1,198-bp phosphoprotein sequences showed that HPIV-4 isolates among the cases were genetically similar, whereas the community controls were more genetically distant, supporting nosocomial transmission of a single HPIV-4 genotype during the outbreak. Moreover, the HPIV-4 causing the outbreak is more closely related to HPIV-4A than HPIV-4B. HPIV-4 may be an important cause of more severe respiratory illness in children. The present RT-PCR assay is a sensitive, specific, and rapid method for the diagnosing HPIV-4 infection. To better define the epidemiology and clinical spectrum of disease of HPIV-4 infections, HPIV-4 should be included in the routine panels of respiratory virus detection on respiratory specimens.
Insights
Human parainfluenza virus 4 (HPIV-4) caused an outbreak in a disabilities unit, leading to respiratory infections in children. Routine testing for HPIV-4 is recommended to understand its clinical significance.
Area of Science:
- Virology
- Infectious Diseases
- Public Health
Background:
- Human parainfluenza virus 4 (HPIV-4) clinical significance is poorly understood due to isolation and surveillance challenges.
- HPIV-4 is one of four common parainfluenza viruses, often associated with respiratory illness.
Purpose of the Study:
- To report the first documented outbreak of HPIV-4 infection in a developmental disabilities unit.
- To characterize the clinical presentation and genetic relatedness of HPIV-4 during the outbreak.
- To evaluate diagnostic methods for HPIV-4 detection.
Main Methods:
- Retrospective analysis of an HPIV-4 outbreak in an institutionalized population.
- Detection of HPIV-4 using reverse transcriptase PCR (RT-PCR), direct immunofluorescence, and cell culture.
- Serological testing for HPIV-4 antibodies.
- Molecular analysis of phosphoprotein gene sequences.
- Comparison with community-acquired respiratory tract infection cases.
Main Results:
- An outbreak involved 41 individuals (38 children, 3 staff), primarily causing upper respiratory tract infections (URTI).
- Three children (7%) developed lower respiratory tract infections (LRTI), with one requiring ventilation.
- RT-PCR confirmed HPIV-4 in 100% of cases; genetic analysis indicated nosocomial transmission of a single genotype related to HPIV-4A.
- HPIV-4 was also detected in 3.5% of community-acquired respiratory infection cases.
Conclusions:
- HPIV-4 can cause significant respiratory illness, including severe cases in children.
- RT-PCR is a sensitive and rapid diagnostic tool for HPIV-4.
- HPIV-4 should be included in routine respiratory virus detection panels for better epidemiological understanding.

