Detection of Eight Respiratory Bacterial Pathogens Based on Multiplex Real-Time PCR with Fluorescence Melting Curve Analysis. (26th February 2020)
- Record Type:
- Journal Article
- Title:
- Detection of Eight Respiratory Bacterial Pathogens Based on Multiplex Real-Time PCR with Fluorescence Melting Curve Analysis. (26th February 2020)
- Main Title:
- Detection of Eight Respiratory Bacterial Pathogens Based on Multiplex Real-Time PCR with Fluorescence Melting Curve Analysis
- Authors:
- Hu, Liuyang
Han, Bing
Tong, Qin
xiao, Hui
Cao, Donglin - Other Names:
- Marianelli Cinzia Academic Editor.
- Abstract:
- Abstract : Background and Objective . Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, Streptococcus pneumoniae, Haemophilus influenzae, Staphylococcus aureus, Pseudomonas aeruginosa, and Mycobacterium tuberculosis are primary respiratory bacterial pathogens contributing to morbidity and mortality in developing countries. This study evaluated the diagnostic performance of multiplex real-time PCR with fluorescence melting curve analysis (MCA) assay, which was used to detect eight respiratory bacterial pathogens simultaneously. Methods . A total of 157 sputum specimens were examined by multiplex real-time with fluorescence MCA, and the results were compared with the conventional culture method. Results . Multiplex real-time PCR with fluorescence MCA specifically detected and differentiated eight respiratory bacterial pathogens by different melting curve peaks for each amplification product within 2 hours and exhibited high repeatability. The limit of detection ranged from 64 to 10 2 CFU/mL in the multiplex PCR system. Multiplex real-time PCR with fluorescence MCA showed a sensitivity greater than 80% and a 100% specificity for each pathogen. The kappa correlation of eight bacteria ranged from 0.89 to 1.00, and the coefficient of variation ranged from 0.05% to 0.80%. Conclusions . Multiplex real-time PCR with fluorescence MCA assay is a sensitive, specific, high-throughput, and cost-effective method to detect multiple bacterial pathogens simultaneously.
- Is Part Of:
- Canadian journal of infectious diseases & medical microbiology =. Volume 2020(2020)
- Journal:
- Canadian journal of infectious diseases & medical microbiology =
- Issue:
- Volume 2020(2020)
- Issue Display:
- Volume 2020, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 2020
- Issue:
- 2020
- Issue Sort Value:
- 2020-2020-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-02-26
- Subjects:
- Communicable diseases -- Periodicals
Infection -- Periodicals
Communicable diseases
Infection
Communicable Diseases
Communicable Disease Control
Electronic journals
Periodicals
Fulltext
Internet Resources
Periodicals
616.9 - Journal URLs:
- https://www.hindawi.com/journals/cjidmm/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/460/ ↗
http://search.proquest.com/publication/2032235 ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/460/ ↗
https://www.ncbi.nlm.nih.gov/pmc/journals/460/ ↗ - DOI:
- 10.1155/2020/2697230 ↗
- Languages:
- English
- ISSNs:
- 1712-9532
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14350.xml