레지오넬라 폐렴의 진단용 바이오마커의 발굴: A/J 마우스 감염 모델에서 Legionella pneumophila의 독력 유전자들의 발현양상 분석

• Published in: Infection & chemotherapy pp. 23 - 29
• Main Authors: 김승민, 심희선, 김희남, 심호기, 윤영경, 김정연, 박윤선, 박대원, 손장욱, 김민자
• Format: Journal Article
• Language: Korean
• Published: 대한감염학회 01.02.2010
• Subjects: 내과학
• ISSN: 2093-2340; 2092-6448

Background: Legionella pneumophila is the causative agent of Legionnaires’ disease, a severe form of pneumonia. After L. pneumophila is inhaled through contaminated aerosols, it is phagocytized by alveolar macrophages, multiplies in a specialized phagosome approximately 10 h postinfection, and eventually leads to the death of host cells. Currently available diagnostic tests for Legionella pneumonia have some limitations. This study was conducted to find diagnostic biomarkers for Legionella pneumonia using virulence gene expression profiling in a murine experimental model. Materials and Methods: A/J mice were intranasally inoculated with L. pneumophila serogroup 1, and lungs were harvested 4, 8, 24, and 48 h postinfection. The strain grown in buffered yeast extract broth was used as reference samples. Cy-dye labeled cDNA samples were prepared with total RNA from lungs or broth culture, and hybridized on the oligo-microarray slide containing 2,895 genes of L. pneumophila serogroup 1. Virulence gene expression patterns were analyzed using a MIDAS software from TIGR (www. tigr.org). Results: Among a total of 332 virulence genes examined, 17 genes including sidA, lepB, the genes related to flagella assembly (fliR and fliP), LPS lipid A biosynthesis, and the enhanced entry protein EnhA were up-regulated at all four time points. We further confirmed by quantitative real-time reverse transcription PCR that the expression of fliP gene was highly expressed in lung tissue as well as in bronchoalveolar lavage fluids from the mouse infected with L. pneumophila serogroup 1. Conclusions: Through gene expression analysis of L. pneumophila in a mouse model, several candidate biomarkers for diagnosing Legionnaires’ disease could be identified. KCI Citation Count: 0