In this work, the authors aimed to detect the clonal relatedness of the isolated imipenem-susceptible and non-susceptible Acenitobacter baumanii. This study was conducted from September 2008 through August 2009 in Abo...In this work, the authors aimed to detect the clonal relatedness of the isolated imipenem-susceptible and non-susceptible Acenitobacter baumanii. This study was conducted from September 2008 through August 2009 in Aboelreech-Elmounira paediatric-Cairo University-teaching hospital in Egypt. All the isolated acenitobacter species were identified by standard laboratory procedures. The clonal relationship of the A. baumanii （the most common detected clinical type） was studied by biotyping and AST and then confirmed using rep-PCR with primers aimed at repetitive extragenic palindromic sequences and enterobacterial repetitive intergenic consensus sequences. A total of 100 A. baumanii isolates out of 104 acenitobacter species were recovered from different clinical samples. Sixty two percent of the isolates were resistant to imipenem. The resulting rep-PCR patterns oftheA, baumanii strains revealed 8 clones, 3 clones found in the imipenem resistant group, and 5 clones in imipenem sensitive group with statistically significant clonal distribution in both groups （P-value 0.00）. Clonality was proved in imipenem resistant group with an alarming predominance of clone 1 representing 80.6% of IMP-R isolates. In accordance the prevalence of resistant acenitobacter strains seems to be correlated with inappropriate antibiotic use. These results call for strict compliance of coordinated strategy of infection control measures and judicious use of antimicrobials which is likely to effectively deal with this serious public health issue.展开更多
OBJECTIVE:This study screened serum tumor biomarkers by surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS) to establish a subset which could be used for the prediction of Qi de...OBJECTIVE:This study screened serum tumor biomarkers by surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS) to establish a subset which could be used for the prediction of Qi deficiency syndrome and phlegm and blood stasis in patients with non-small cell lung cancer;and as diagnostic model of Chinese medicine.METHODS:Serum samples from 63 lung cancer patients with Qi deficiency syndrome and phlegm and blood stasis,and 28 lung cancer patients with non-Qi deficiency syndrome and phlegm and blood stasis were analyzed using SELDI-TOF-MS with a PBS II-C protein chip reader.Protein profiles were generated using immobilized metal affinity capture(IMAC3) protein chips.Differentially-expressed proteins were screened.Protein peak clustering and classification analyses were performed using Biomarker Wizard and Biomarker Pattern software packages,respectively.RESULTS:A total of 268 effective protein peaks were detected in the 1,000-10,000 Da molecular range for the 15 serum proteins screened(P<0.05).The decision tree model was M 2284.97,with a sensitivity of 96.2% and a specificity of 66.7%.CONCLUSION:SELDI-TOF-MS techniques,combined with a decision tree model,can help identify serum proteomic biomarkers related to Qi deficiency syndrome and phlegm and blood stasis in lung cancer patients;and the predictive model can be used to discriminate between Chinese medicine diagnostic models of disease.展开更多
文摘In this work, the authors aimed to detect the clonal relatedness of the isolated imipenem-susceptible and non-susceptible Acenitobacter baumanii. This study was conducted from September 2008 through August 2009 in Aboelreech-Elmounira paediatric-Cairo University-teaching hospital in Egypt. All the isolated acenitobacter species were identified by standard laboratory procedures. The clonal relationship of the A. baumanii （the most common detected clinical type） was studied by biotyping and AST and then confirmed using rep-PCR with primers aimed at repetitive extragenic palindromic sequences and enterobacterial repetitive intergenic consensus sequences. A total of 100 A. baumanii isolates out of 104 acenitobacter species were recovered from different clinical samples. Sixty two percent of the isolates were resistant to imipenem. The resulting rep-PCR patterns oftheA, baumanii strains revealed 8 clones, 3 clones found in the imipenem resistant group, and 5 clones in imipenem sensitive group with statistically significant clonal distribution in both groups （P-value 0.00）. Clonality was proved in imipenem resistant group with an alarming predominance of clone 1 representing 80.6% of IMP-R isolates. In accordance the prevalence of resistant acenitobacter strains seems to be correlated with inappropriate antibiotic use. These results call for strict compliance of coordinated strategy of infection control measures and judicious use of antimicrobials which is likely to effectively deal with this serious public health issue.
基金Supported by the National Natural Science Foundation of China(No.30572293)the "Eleventh Five" TCM Foundation for Major Clinical Research of PLA(No.2006051002)the Natural Science Foundation of Fujian Province,China(No. 2010J01197)
文摘OBJECTIVE:This study screened serum tumor biomarkers by surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS) to establish a subset which could be used for the prediction of Qi deficiency syndrome and phlegm and blood stasis in patients with non-small cell lung cancer;and as diagnostic model of Chinese medicine.METHODS:Serum samples from 63 lung cancer patients with Qi deficiency syndrome and phlegm and blood stasis,and 28 lung cancer patients with non-Qi deficiency syndrome and phlegm and blood stasis were analyzed using SELDI-TOF-MS with a PBS II-C protein chip reader.Protein profiles were generated using immobilized metal affinity capture(IMAC3) protein chips.Differentially-expressed proteins were screened.Protein peak clustering and classification analyses were performed using Biomarker Wizard and Biomarker Pattern software packages,respectively.RESULTS:A total of 268 effective protein peaks were detected in the 1,000-10,000 Da molecular range for the 15 serum proteins screened(P<0.05).The decision tree model was M 2284.97,with a sensitivity of 96.2% and a specificity of 66.7%.CONCLUSION:SELDI-TOF-MS techniques,combined with a decision tree model,can help identify serum proteomic biomarkers related to Qi deficiency syndrome and phlegm and blood stasis in lung cancer patients;and the predictive model can be used to discriminate between Chinese medicine diagnostic models of disease.
