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Abstract
FAME Analysis is a simple and rapid technique based on Gas Chromatography analysis of bacterial cell membrane. Biochemical lipid profiling of bacterial cell membrane helps to identify bacterial isolates using MIDI Sherlock system. The main objective of present study is rapid and accurate identification of multidrug resistant Enterococcal isolates and to study their clinical profile for complicated nosocomial infection from the clinical samples collected at tertiary care center in Chandrapur region. It is essential to identify the causative organism for proper diagnosis and treatment of diseases as enterococcus is fastly emerging pathogen responsible for life threating nosocomial infection and other health hazards.
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References
- Arias, C. A., Contreras, G. A., & Murray, B. E. (2010). Management of multidrug-resistant enterococcal infections. Clinical microbiology and infection, 16(6), 555-562. DOI: https://doi.org/10.1111/j.1469-0691.2010.03214.x
- Fisher, K., & Phillips, C. (2009). The ecology, epidemiology and virulence of Enterococcus. Microbiology, 155(6), 1749-1757. DOI: https://doi.org/10.1099/mic.0.026385-0
- Hoffmann, M., Fischer, M., & Whittaker, P. (2010). Evaluating the use of fatty acid profiles to identify deep-sea Vibrio isolates. Food chemistry, 122(4), 943-950. DOI: https://doi.org/10.1016/j.foodchem.2010.04.015
- Kunitsky, C., Osterhout, G., & Sasser, M. (2006). Identification of microorganisms using fatty acid methyl ester (FAME) analysis and the MIDI Sherlock Microbial Identification System. Encyclopedia of rapid microbiological methods, 3, 1-18.
- Morey, A., Oliveira, A. C., & Himelbloom, B. H. (2013). Identification of Seafood bacteria from cellular fatty acid analysis via the Sherlock® microbial identification system. J Biol life sci, 4(2), 139-151. DOI: https://doi.org/10.5296/jbls.v4i2.3272
- Salem-Bekhit, M. M., Moussa, I. M. I., Muharram, M. M., Alanazy, F. K., & Hefni, H. M. (2012). Prevalence and antimicrobial resistance pattern of multidrug-resistant enterococci isolated from clinical specimens. Indian journal of medical microbiology, 30(1), 44-51. DOI: https://doi.org/10.4103/0255-0857.93032
- Upadhyaya, P. G., Ravikumar, K. L., & Umapathy, B. L. (2009). Review of virulence factors of enterococcus: an emerging nosocomial pathogen. Indian journal of medical microbiology, 27(4), 301-305. DOI: https://doi.org/10.4103/0255-0857.55437
References
Arias, C. A., Contreras, G. A., & Murray, B. E. (2010). Management of multidrug-resistant enterococcal infections. Clinical microbiology and infection, 16(6), 555-562. DOI: https://doi.org/10.1111/j.1469-0691.2010.03214.x
Fisher, K., & Phillips, C. (2009). The ecology, epidemiology and virulence of Enterococcus. Microbiology, 155(6), 1749-1757. DOI: https://doi.org/10.1099/mic.0.026385-0
Hoffmann, M., Fischer, M., & Whittaker, P. (2010). Evaluating the use of fatty acid profiles to identify deep-sea Vibrio isolates. Food chemistry, 122(4), 943-950. DOI: https://doi.org/10.1016/j.foodchem.2010.04.015
Kunitsky, C., Osterhout, G., & Sasser, M. (2006). Identification of microorganisms using fatty acid methyl ester (FAME) analysis and the MIDI Sherlock Microbial Identification System. Encyclopedia of rapid microbiological methods, 3, 1-18.
Morey, A., Oliveira, A. C., & Himelbloom, B. H. (2013). Identification of Seafood bacteria from cellular fatty acid analysis via the Sherlock® microbial identification system. J Biol life sci, 4(2), 139-151. DOI: https://doi.org/10.5296/jbls.v4i2.3272
Salem-Bekhit, M. M., Moussa, I. M. I., Muharram, M. M., Alanazy, F. K., & Hefni, H. M. (2012). Prevalence and antimicrobial resistance pattern of multidrug-resistant enterococci isolated from clinical specimens. Indian journal of medical microbiology, 30(1), 44-51. DOI: https://doi.org/10.4103/0255-0857.93032
Upadhyaya, P. G., Ravikumar, K. L., & Umapathy, B. L. (2009). Review of virulence factors of enterococcus: an emerging nosocomial pathogen. Indian journal of medical microbiology, 27(4), 301-305. DOI: https://doi.org/10.4103/0255-0857.55437