Detection of Microbial Pathogens in Shellfish with Multiplex PCR

1998 ◽  
Vol 37 (2) ◽  
pp. 101-107 ◽  
Author(s):  
Cynthia W. Brasher ◽  
Angelo DePaola ◽  
Daniel D. Jones ◽  
Asim K. Bej
2020 ◽  
Vol 14 (05) ◽  
pp. 511-518
Author(s):  
Nesma Abdel Aziz Hamdi Hassanin ◽  
Nermeen Mahmoud Ahmed Abdallah ◽  
Nour Elhoda Hussein Abdalla ◽  
Laila Kholeif ◽  
Marwa Shabban

Introduction: Bloodstream Infections (BSIs) are a main cause of life-threatening complications among patients with cancer. Methodology: This study aimed to identify microbial pathogens causing BSI in febrile neutropenic patients with hematologic malignancy and compare the results of conventional blood culture with a nested multiplex real time PCR assay done directly on whole blood samples. The nested multiplex PCR was based on 16S rDNA and 18S rDNA sequence-specific primers; hence, it allowed the identification of most species of bacteria and fungi. Results: Forty adult patients with febrile neutropenia, admitted at Hematology ward of Ain Shams University Hospitals, were included in this study. Each patient was subjected to conventional blood culture and nested multiplex PCR. Blood culture was positive in 19 patients (47.5%). About 68.4% of the positive cultures were monomicrobial, while 31.6% were polymicrobial. A total number of 26 isolates were grown from positive cultures; Staphylococcus aureus was the most common (30.8%), followed by Klebsiella pneumoniae (19.2%). Regarding nested PCR, positive results were detected in 37/40 patients (92.5%) which was statistically significantly higher than that of blood culture. Eighteen samples that tested negative by culture were positive using the molecular approach. The agreement between the two approaches was 55%. Conclusion: nested multiplex real time PCR can be a promising tool in order to achieve rapid diagnosis in cancer patients clinically suspected of BSIs. Its utilization could affect the choice of antimicrobial treatment whether bacterial or fungal and, therefore avoid unnecessary use of antimicrobials.


1999 ◽  
Vol 30 (4) ◽  
pp. 322-323 ◽  
Author(s):  
A. Barroso ◽  
S. Dunner ◽  
J. Ca·ón
Keyword(s):  

2005 ◽  
Vol 127 (03) ◽  
Author(s):  
J Rom ◽  
A Schneeeweiss ◽  
V Zieglschmid ◽  
C Hollmann ◽  
O Böcher ◽  
...  
Keyword(s):  

2016 ◽  
Vol 1 (2) ◽  
pp. 38-42 ◽  
Author(s):  
Khairun Nessa ◽  
Dilruba Ahmed ◽  
Johirul Islam ◽  
FM Lutful Kabir ◽  
M Anowar Hossain

A multiplex PCR assay was evaluated for diagnosis of diarrheagenic Escherichia coli in stool samples of patients with diarrhoea submitted to a diagnostic microbiology laboratory. Two procedures of DNA template preparationproteinase K buffer method and the boiling method were evaluated to examine isolates of E. coli from 150 selected diarrhoeal cases. By proteinase K buffer method, 119 strains (79.3%) of E. coli were characterized to various categories by their genes that included 55.5% enteroaggregative E. coli (EAEC), 18.5% enterotoxigenic E. coli (ETEC), 1.7% enteropathogenic E. coli (EPEC), and 0.8% Shiga toxin-producing E. coli (STEC). Although boiling method was less time consuming (<24 hrs) and less costly (<8.0 US $/ per test) but was less efficient in typing E. coli compared to proteinase K method (41.3% vs. 79.3% ; p<0.001). The sensitivity and specificity of boiling method compared to proteinase K method was 48.7% and 87.1% while the positive and negative predictive value was 93.5% and 30.7%, respectively. The majority of pathogenic E. coli were detected in children (78.0%) under five years age with 53.3% under one year, and 68.7% of the children were male. Children under 5 years age were frequently infected with EAEC (71.6%) compared to ETEC (24.3%), EPEC (2.7%) and STEC (1.4%). The multiplex PCR assay could be effectively used as a rapid diagnostic tool for characterization of diarrheagenic E. coli using a single reaction tube in the clinical laboratory setting.Bangladesh J Med Microbiol 2007; 01 (02): 38-42


2015 ◽  
Vol 14 (1) ◽  
pp. 282-288
Author(s):  
Israa Adnan Ibraheam Al-Baghdady ◽  
Ashwak Bassim Jassim ◽  
Zainab Khudher Ahmed

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