In Silico Design of a Poly-epitope Vaccine for Urinary Tract Infection Based on Conserved Antigens by Modern Vaccinology

Author(s):  
Maryam Javadi ◽  
Mana Oloomi ◽  
Saeid Bouzari
2004 ◽  
Vol 171 (4S) ◽  
pp. 22-23
Author(s):  
Shingo Minagawa ◽  
Chikara Ohyama ◽  
Shingo Hatakeyama ◽  
Kazunari Sato ◽  
Shigeru Sato ◽  
...  

1999 ◽  
Vol 38 (01) ◽  
pp. 50-55 ◽  
Author(s):  
P. F. de Vries Robbé ◽  
A. L. M. Verbeek ◽  
J. L. Severens

Abstract:The problem of deciding the optimal sequence of diagnostic tests can be structured in decision trees, but unmanageable bushy decision trees result when the sequence of two or more tests is investigated. Most modelling techniques include tests on the basis of gain in certainty. The aim of this study was to explore a model for optimizing the sequence of diagnostic tests based on efficiency criteria. The probability modifying plot shows, when in a specific test sequence further testing is redundant and which costs are involved. In this way different sequences can be compared. The model is illustrated with data on urinary tract infection. The sequence of diagnostic tests was optimized on the basis of efficiency, which was either defined as the test sequence with the least number of tests or the least total cost for testing. Further research on the model is needed to handle current limitations.


2018 ◽  
Vol 1 (2) ◽  
pp. 40-57
Author(s):  
Abdulghani Alsamarai ◽  
Shler Khorshed ◽  
Imad Weli

Background: Antibiotic resistance emerged as clinical problem challenge the effective treatment of infections. Virulence factor may play an important role in the influence of antimicrobial resistance. Objective: To determine the frequency of resistance gene in E. coli clinical isolates from women with urinary tract infection. Materials and Methods: Fifteen E.coli clinical isolates were tested by PCR to determine their molecular characterization. Results: The bla CTX –M gene was not detected in 6.7% out of the tested 15 E. coli clinical isolates from women with urinary tract infection. However, bla OXA gene was detected in all E. coli tested clinical isolates from pregnant women, female student and diabetic women with urinary tract infection. While bla TEM gene and bla SHV gene were not detected in 33.3% and 40% out of the tested E. coli clinical isolates respectively. Conclusions: Four types of ESBL genes were detected, and shows new trend of distribution, which indicated the predominance of OXA and CTX-M genes.


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