OBJECTIVES: To investigate the specific microbial signatures in vaginal fluid. METHODS: Vaginal fluid （16 samples）, saliva （16 samples）, feces （16 samples）, semen （8 samples）, peripheral blood （8 samples）, urine （5 samples）, and nasal secretion （4 samples） were collected respectively. The 16S rRNA genes of Lactobacillus crispatus, Lactobacillus gasseri, Lactobacillus jensenii, Lactobacillus iners, and Atopobium vaginae were amplified. PCR production was detected via a 3130xl Genetic Analyzer. RESULTS: The detected number of Lactobacillus crispatus, Lactobacillus gasseri, Lactobacillus jensenii, Lactobacillus iners, and Atopobium vaginae were 15, 5, 8, 14, and 3 in all vaginal fluid samples, respectively. Lactobacillus crispatus and Lactobacillus jensenii existed specifically in vaginal fluid. CONCLUSIONS There is a potential application value to detect Lactobacillus crispatus and Lactobacillus jensenii for the identification of vaginal fluid.
Actinobacteria/classification* ; Blood/microbiology* ; Body Fluids/microbiology* ; Feces/microbiology* ; Female ; Genes, Bacterial ; Humans ; Lactobacillus/classification* ; Nasal Cavity/microbiology* ; Polymerase Chain Reaction ; RNA, Ribosomal, 16S/genetics* ; Saliva/microbiology* ; Semen/microbiology* ; Vagina/microbiology*

BACKGROUND: Viridans group streptococci (VGS) are both commensal microbes and potential pathogens. Increasing resistance to penicillin in VGS is an ongoing issue in the clinical environment. We investigated the difference in susceptibility and resistance to penicillin among various VGS species. METHODS: In total 1,448 VGS isolated from various clinical specimens were analyzed over a two-yr period. Identification and antimicrobial susceptibility test was performed by the automated VITEK 2 system (bioMerieux, France) or the MicroScan MICroSTREP system (Siemens, Germany). RESULTS: Among the 1,448 isolates, 412 were isolated from blood (28.4%). Streptococcus mitis group was the most frequently isolated (589 isolates, 40.7%), followed by the S. anginosus group (290 isolates, 20.0%), S. sanguinis group (179 isolates, 12.4%) and S. salivarius group (57 isolates, 3.9%). In total, 314 isolates could not be identified up to the species level. The overall non-susceptibility to penicillin was observed to be 40.0% (resistant, 11.2% and intermediately resistant, 28.8%) with uneven distribution among groups; 40.2% in S. sanguinis group (resistant, 5.0% and intermediately resistant, 35.2%), 60.3% in S. mitis group (resistant, 20.9% and intermediately resistant, 39.4%), 78.9% in S. salivarius group (resistant, 8.8% and intermediately resistant, 70.1%), and 6.2% in S. anginosus group (resistant, 1.7% and intermediately resistant, 4.5%). CONCLUSIONS: Antimicrobial resistance patterns towards penicillin show differences among various VGS; this should be considered while devising an effective antimicrobial treatment against VGS.
Anti-Infective Agents/*pharmacology ; Body Fluids/microbiology ; Drug Resistance, Bacterial ; Humans ; Microbial Sensitivity Tests ; Penicillins/pharmacology ; Streptococcal Infections/microbiology/pathology ; Viridans Streptococci/*drug effects/isolation & purification

BACKGROUND/AIMS: The development of effective, accurate, and rapid diagnostic methods for Mycobacterium infection and mycobacterial species identification is required. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) is an easy, rapid and inexpensive technique for identifying Mycobacterium spp. METHODS: We performed PCR-RFLP to detect and identify Mycobacterium spp. from 10 sterile body fluids, including ascites, cerebrospinal fluid, pleural fluid, synovial fluid, and peritoneal dialysis fluid. Clinical samples were collected from patients with diagnoses of definite, probable or suspected mycobacterial infection. The conserved RNA polymerase genes of Mycobacterium spp. were amplified by PCR. RESULTS: The amplified 360-bp region of rpoB was digested with the restriction enzyme MspI or HaeIII. The PCRRFLP results for the clinical samples were identical to those for M. tuberculosis, M. fortuitum, M. intracellulare, and M. avium. In addition, the results of the PCR-RFLP were identical to those obtained by DNA sequencing. CONCLUSIONS: PCR-RFLP analysis of sterile body fluids may be a useful method for the diagnosis of mycobacterial infections and for the differentiation of mycobacterial species.
*Amplified Fragment Length Polymorphism Analysis ; Bacterial Proteins/*genetics ; *Bacterial Typing Techniques ; Body Fluids/*microbiology ; DNA, Bacterial/*analysis ; DNA-Directed RNA Polymerases/*genetics ; Humans ; Mycobacterium/*classification/genetics ; Mycobacterium Infections/*diagnosis/microbiology ; *Polymorphism, Restriction Fragment Length

BACKGROUND: By conventional methods, the identification of anaerobic bacteria is more time consuming and requires more expertise than the identification of aerobic bacteria. Although the matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) systems are relatively less studied, they have been reported to be a promising method for the identification of anaerobes. We evaluated the performance of the VITEK MS in vitro diagnostic (IVD; 1.1 database; bioMerieux, France) in the identification of anaerobes. METHODS: We used 274 anaerobic bacteria isolated from various clinical specimens. The results for the identification of the bacteria by VITEK MS were compared to those obtained by phenotypic methods and 16S rRNA gene sequencing. RESULTS: Among the 249 isolates included in the IVD database, the VITEK MS correctly identified 209 (83.9%) isolates to the species level and an additional 18 (7.2%) at the genus level. In particular, the VITEK MS correctly identified clinically relevant and frequently isolated anaerobic bacteria to the species level. The remaining 22 isolates (8.8%) were either not identified or misidentified. The VITEK MS could not identify the 25 isolates absent from the IVD database to the species level. CONCLUSIONS: The VITEK MS showed reliable identifications for clinically relevant anaerobic bacteria.
Bacteria, Anaerobic/*genetics/isolation & purification ; Bacterial Typing Techniques/*instrumentation/*methods ; Body Fluids/microbiology ; Databases, Genetic ; Humans ; RNA, Ribosomal, 16S/*analysis/metabolism ; Sequence Analysis, DNA ; *Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization