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Медицинская библиотека · The Indian journal of medical research · 2013

Strategy for identification & characterization of Bartonella henselae with conventional & molecular methods.

Diddi Kavita, Chaudhry Rama, Sharma Nidhi, Dhawan Benu

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Аннотация

BACKGROUND &

OBJECTIVES

Bartonella henselae is a fastidious gram-negative bacterium usually causing self limiting infections in immunocompetent individuals but often causes potentially life threatening infection, such as bacillary angiomatosis in immunocompromised patients. Both diagnosis of infections and research into molecular mechanisms of pathogenesis have been hindered by lack of appropriate and reliable diagnostic techniques. We undertook this study to standardize methods to characterize B. henselae in clinical samples to diagnose Bartonella infection correctly.

METHODS

B. henselae ATCC 49882 strain was procured from American type culture collection, USA. This strain was revived and maintained in the laboratory, and identification and characterization of this strain was done by conventional and molecular techniques, which included culture on various media, staining by different methods including electron microscopy, biochemical analysis by conventional methods and API, polymerase chain reaction (PCR) for amplification of citrate synthase gene followed by restriction fragment length polymorphism (RFLP).

RESULTS

This organism was biochemically inert due to slow growth and generated unique identification code with API. The amplification of the citrate-synthase gene with primers yielded a 381 bp product followed by specific RFLP profile for B. henselae.

INTERPRETATION &

CONCLUSIONS

Bartonella is fastidious and fragile organism and should be handled carefully. Extra effort and careful observation are required to isolate and characterize this organism.

Для цитирования: Diddi Kavita, Chaudhry Rama, Sharma Nidhi, Dhawan Benu. Strategy for identification & characterization of Bartonella henselae with conventional & molecular methods.. The Indian journal of medical research. 2013.

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