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Title

Antimicrobial activity of various ethanolic plant extracts against pathogenic multi drug resistant
Candida spp.

Authors

Shaista Khan, Mohd Imran*, Mohammed Imran, Nuzhat Pindari

 

Affiliation

Department of Biosciences, Integral University, Lucknow U.P. India;

 

Email

imranm@iul.ac.in;

 

Article Type

Hypothesis

 

Date

Received January 16, 2017; Revised February 10, 2017; Accepted February 10, 2017; Published March 31, 2017

 

Abstract

A total of 50 Candida isolates were isolated and identified from clinical specimens and these were tested for resistance to various antifungal drugs. It was observed multi-drug resistance in all candida isolates by 84%, 62%, 60%, 76%, 46, 30%, and 22% against fluconazole, clotrimazole, Amphotericin B, itraconazole, ketoconazole, miconazole and nystatin tested respectively. The isolates, which
were found to be resistant to antifungal drugs were selected and subjected to antifungal testing against six ethanolic plants, extract namely Azadiracta indica, Allium sativum, Cordia dichotoma Ocimum sanctum, Syzygium cumini and Trigonella foenum grecum. All the plant extracts tested were found to effective against all MDR Candida isolates with inhibition zone ranging from 10- 18mm in diameter. Ethanolic extract of Allium sativum was observed most effective against the isolates among all the plants extracts tested. The minimum inhibitory concentration (MIC) of all ethanolic plant extract was recorded ranging from 1.56-25mg/ml against MDR candida isolates. Phytochemical analysis of the alcoholic plant extracts revealed the presence of alkaloid, flavanoid, glycosoid, phenol; phenol, tannins, saponins in all the plants studied. The present study may be successful in identifying the plants with different antimicrobial activity. These plants containing various phytochemicals may be exploited in the treatment of infectious diseases caused by drug-resistant microorganisms.

 

Keywords

Candida, MDR, Plant extract, Antifungal activity.

 

Citation

Khan et al. Bioinformation 13(3): 67-72 (2017)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.