<b>Objective:</b> 120 patients with severe pneumonia who were kept in the comprehensive ICU of our hospital in 2018 were selected, and 16s rDNA sequencing was performed to analyze the composition of pathog...<b>Objective:</b> 120 patients with severe pneumonia who were kept in the comprehensive ICU of our hospital in 2018 were selected, and 16s rDNA sequencing was performed to analyze the composition of pathogenic bacteria in the sputum of severe pneumonia. <b>Methods:</b> The sputum samples of patients with severe bacterial pneumonia were collected, and the diversity of pathogens in the samples was analyzed by polymerase chain reaction (PCR) amplification and high-throughput sequencing (16s rDNA PCR-DGGE). <b>Results:</b> Sequence showed that sputum samples contained a relatively large number of species, and there were many species that were not detected by sequencing. The dominant bacteria were <i>Streptococcus, Sphingomonas, Corynebacterium, Denatobacteria, Aquobacteria, Acinetobacteria, Prevotella, Klebsiella, Pseudomonas</i>, etc. <b>Conclusion:</b> Bacteria caused by sputum of severe bacterial pneumonia are complex and diverse, which provides new methods and ideas for individualized treatment of patients with severe pneumonia.展开更多
The diagnosis of pathogenic bacteria in severe pneumonia is difficult and the prognosis is poor. Its outcome is closely related to bacterial pathogenicity and the timeliness and pertinence of antibiotic treatment. The...The diagnosis of pathogenic bacteria in severe pneumonia is difficult and the prognosis is poor. Its outcome is closely related to bacterial pathogenicity and the timeliness and pertinence of antibiotic treatment. Therefore, early diagnosis is of great significance to the prognosis of patients. Sputum examination and culture is the gold standard for the diagnosis of pathogens of severe pneumonia. However, due to the long time of bacterial culture, the early use of antibiotics, the change of bacteria species, mixed infection and other problems, the results of bacterial culture in sputum are often false negative. With the continuous application of new molecular biology techniques in clinical detection, the classification of bacteria and microorganisms has deepened from the identification of phenotypic characteristics to the classification of gene characteristics. Sequencing analysis with 16S rDNA sequencing technology has the characteristics of high sequencing flux, large amount of data obtained, short cycle, and can more comprehensively reflect the species composition of microbial community, real species distribution and abundance information. In this paper, 16S rDNA sequencing technology was used to analyze the bacterial population composition in the sputum of severe pneumonia, and to explore a new method of etiological diagnosis.展开更多
INTRODUCTIONMicrobiome residing in the airways and parenchymal tissues, as a biological barrier of respiratory tract, plays an important role in maintaining the normal functions of individual＇s respiratory system and...INTRODUCTIONMicrobiome residing in the airways and parenchymal tissues, as a biological barrier of respiratory tract, plays an important role in maintaining the normal functions of individual＇s respiratory system and preventing the invasion and colonization of exogenous pathogens.H1 Changes of microbial community may result in the occurrence and progression of infectious pneumonia and acute exacerbation of chronic diseases, through disordering commensal microorganisms and increasing invasive ability of pathogens.F21 Traditional methods for detecting bacteria normally rely on culture technique, which have a number of critical problems, including time-consuming and relatively low positive rate of detection. In the last 1 0 years, 16S rRNA gene sequencing technique has been thought to be more comprehensive and reliable than those of culture-dependent methods for monitoring bacterial microbiome in skin, organs, and tracts quantitatively and qualitatively.E31 In this case, choosing credible samples are critical to evaluate the community composition of microbiome in the host tracts, including respiratory tract. In the present study, we aimed to compare the composition and diversity of bacterial community structure in different samples collected from the individuals＇ airways using 16S rRNA gene sequencing technique.展开更多
文摘<b>Objective:</b> 120 patients with severe pneumonia who were kept in the comprehensive ICU of our hospital in 2018 were selected, and 16s rDNA sequencing was performed to analyze the composition of pathogenic bacteria in the sputum of severe pneumonia. <b>Methods:</b> The sputum samples of patients with severe bacterial pneumonia were collected, and the diversity of pathogens in the samples was analyzed by polymerase chain reaction (PCR) amplification and high-throughput sequencing (16s rDNA PCR-DGGE). <b>Results:</b> Sequence showed that sputum samples contained a relatively large number of species, and there were many species that were not detected by sequencing. The dominant bacteria were <i>Streptococcus, Sphingomonas, Corynebacterium, Denatobacteria, Aquobacteria, Acinetobacteria, Prevotella, Klebsiella, Pseudomonas</i>, etc. <b>Conclusion:</b> Bacteria caused by sputum of severe bacterial pneumonia are complex and diverse, which provides new methods and ideas for individualized treatment of patients with severe pneumonia.
文摘The diagnosis of pathogenic bacteria in severe pneumonia is difficult and the prognosis is poor. Its outcome is closely related to bacterial pathogenicity and the timeliness and pertinence of antibiotic treatment. Therefore, early diagnosis is of great significance to the prognosis of patients. Sputum examination and culture is the gold standard for the diagnosis of pathogens of severe pneumonia. However, due to the long time of bacterial culture, the early use of antibiotics, the change of bacteria species, mixed infection and other problems, the results of bacterial culture in sputum are often false negative. With the continuous application of new molecular biology techniques in clinical detection, the classification of bacteria and microorganisms has deepened from the identification of phenotypic characteristics to the classification of gene characteristics. Sequencing analysis with 16S rDNA sequencing technology has the characteristics of high sequencing flux, large amount of data obtained, short cycle, and can more comprehensively reflect the species composition of microbial community, real species distribution and abundance information. In this paper, 16S rDNA sequencing technology was used to analyze the bacterial population composition in the sputum of severe pneumonia, and to explore a new method of etiological diagnosis.
基金This study was supported by the grants from the National Natural Science Foundation of China （No. 81373177, and No. 81471594）, the Key Projects in the National Science and Technology pillar program （No. 2013BAI09B10） and the Basic-clinical Research Cooperation Issues of Capital Medical University （No. 17JL90）.
文摘INTRODUCTIONMicrobiome residing in the airways and parenchymal tissues, as a biological barrier of respiratory tract, plays an important role in maintaining the normal functions of individual＇s respiratory system and preventing the invasion and colonization of exogenous pathogens.H1 Changes of microbial community may result in the occurrence and progression of infectious pneumonia and acute exacerbation of chronic diseases, through disordering commensal microorganisms and increasing invasive ability of pathogens.F21 Traditional methods for detecting bacteria normally rely on culture technique, which have a number of critical problems, including time-consuming and relatively low positive rate of detection. In the last 1 0 years, 16S rRNA gene sequencing technique has been thought to be more comprehensive and reliable than those of culture-dependent methods for monitoring bacterial microbiome in skin, organs, and tracts quantitatively and qualitatively.E31 In this case, choosing credible samples are critical to evaluate the community composition of microbiome in the host tracts, including respiratory tract. In the present study, we aimed to compare the composition and diversity of bacterial community structure in different samples collected from the individuals＇ airways using 16S rRNA gene sequencing technique.
