Molecular Species Identification of Candida from Blood Samples of Intensive Care Unit Patients by Polymerase Chain Reaction – Restricted Fragment Length Polymorphism

Author:

Vijayakumar Ramraj1,Giri Sidhartha1,Kindo Anupma Jyoti1

Affiliation:

1. Department of Microbiology, Sri Ramachandra Medical College and Research Institute, Sri Ramachandra University, Porur, Chennai, India

Abstract

ABSTRACT Introduction: Candida spp is an emerging cause of blood stream infections worldwide. Delay in speciation of Candida isolates by conventional methods and resistance to antifungal drugs (especially fluconazole, amphotericin B, etc.) in various Candida species are some of the factors responsible for the increase in morbidity and mortality due to candidemia. So, the rapid detection and identification of Candida isolates from blood is very important for the proper management of patients having candidemia. Materials and Methods: In this study, we have used polymerase chain reaction (PCR) - restriction fragment length polymorphism (RFLP) as a method for the speciation of Candida isolates from blood samples of intensive care unit (ICU) patients. PCR was used to amplify the ITS-1 and ITS-2 regions of Candida spp using universal primers ITS-1 and ITS-4. The amplified product was digested using Msp I restriction enzyme by RFLP. Results and Discussion: The method PCR-RFLP helped in identifying five medically important Candida spp (C. tropicalis, C. albicans, C. parapsilosis, C. krusei and C. glabrata) from blood. This method is rapid, reliable, easy and cost-effective and can be used in routine laboratory diagnostics for the rapid identification of Candida isolates from blood. Conclusion: PCR-RFLP is an easy, rapid and highly valuable tool which can be used in routine diagnostic laboratories to speciate Candida isolates obtained from blood. This rapid method of speciation will help clinicians to decide on empirical therapy in candidemia cases before antifungal susceptibility results are available.

Publisher

Georg Thieme Verlag KG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3