Studies on susceptibility and resistance patterns of various E.coli isolated from different water samples against clinically significant antibiotics

Author(s): Rudrangshu Chatterjee, Shraddha Sinha, Silky Aggarwal, Amita Gaurav Dimri, Dushyant Singh, Pankaj Goyal, Mr. Abhishek

Abstract

Escherichia coli is an emerging pathogen of the greatest concern as it is the leading cause of various severe infections of stomach, urinary tract, ear, wound etc. in humans. Increasing rates of antimicrobial resistance among E. coli is another furthermost fret worldwide. This problem is more traumatic when water bodies are getting contaminated with faecal pollution and inappropriate use of antibiotics that led to emergence of multi-drug resistant strains of this normal microbiota of human intestine. The current study dealt with the isolation of around twenty Escherichia coli strains from water samples collected from different prominent hilly locations of Uttarakhand region of India. These bacteria were evaluated for their resistance and susceptibility patterns against seven commonly prescribed clinically-significant antibiotics viz. Azithromycin, Cefixime, Ciprofloxacin, Doxycycline, Gentamycin, Streptomycin and Tetracycline. E. coli strains were shown to have variable susceptibilities during the study. Doxycycline was found to be most inert antibiotic as it was not effective against any of E. coli isolates. Around 85% isolates were shown to be sensitive against Cefixime making this antibiotic more promising. More evident finding of the study was that none of antibiotic used in the study was 100% effective. Cefixime was found to be the most effective antimicrobials against E. coli isolates followed by Streptomycin, Tetracycline, Gentamycin, Azithromycin and Ciprofloxacin. Multiple antimicrobial resistances (MAR) index for all the isolates were calculated on the basis of resistance patterns. It has been observed that only 10% strains showed the MAR Index less than 0.1 while rest of 90% isolates were having MAR index between 0.2 to 0.9 showing the multi-drug resistance.

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