以分子生物学鉴定结果为“金标准”评估Rapid ID Yeast Plus及API20C AUX对酵母样真菌的鉴定效能

中国真菌学杂志　 2013, Vol. 8 　Issue (5): 274-280.

以分子生物学鉴定结果为“金标准”评估Rapid ID Yeast Plus及API20C AUX对酵母样真菌的鉴定效能

范欣^1,2, 王贺¹, 苏霄翔¹, 肖盟^1,2, 马雪菲³, 马超越⁴, 刘旭光⁵, 马然³, 吴玥⁵, 陈艳钊³, 徐英春¹

1. 中国医学科学院北京协和医院检验科, 北京 100730;
2. 中国医学科学院北京协和医学院研究生院, 北京 100730;
3. 天津医科大学医学检验学院, 天津 300203;
4. 泰山医学院公共卫生学院, 泰安 271016;
5. 重庆医科大学检验医学院, 重庆 400016

收稿日期:2013-03-20 出版日期:2013-10-28 发布日期:2013-10-28
通讯作者: 徐英春,E-mail:xycpumch@aliyun.com E-mail:xycpumch@aliyun.com
作者简介:范欣,女 (汉族),硕士研究生在读.E-mail:fanxin12356@163.com
基金资助:
首都卫生行业发展科研专项资金(首发2011-4001-09);中国医学科学院协和青年基金(2012X03)

Evaluation of Rapid ID Yeast Plus and API20C AUX systems in identification of yeast species,using molecular identification as ‘gold-standard’

FAN Xin^1,2, WANG He¹, SU Xiao-xiang¹, XIAO Meng^1,2, MA Xue-fei³, MA Chao-yue⁴, LIU Xu-guang⁵, MA Ran³, WU Yue⁵, CHEN Yan-zhao³, XU Ying-chun¹

1. Department of Clinical Laboratory, Peking Union Medical College Hospital, Beijing 100730;
2. Graduate School,Peking Union Medical College, Beijing 100730;
3. School of Medical Laboratory, Tianjin Medical University, Tianjin 300203;
4. Schoole of Public Health, Taishan Medical University, Tai'an 271016;
5. College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016

Received:2013-03-20 Online:2013-10-28 Published:2013-10-28

摘要/Abstract

摘要： 目的以分子生物学方法为“金标准”对两种商品化酵母样真菌鉴定产品Rapid ID Yeast Plus (简称RapID YST)及API20C AUX (简称API20C)的鉴定效能进行评估。方法从2010年中国医院侵袭性真菌感染监测网菌株库中筛选酵母样真菌25种,共计194株。其中,包含临床最常见的5种酵母样真菌 (白念珠菌、热带念珠菌、光滑念珠菌、近平滑念珠菌、新生隐球菌)共130株,占研究总菌株数的67.0%。所有菌株已经过分子生物学方法准确鉴定至种水平。菌株复苏分纯后,严格按照产品操作指南,平行进行RapID YST和API20C鉴定。结果所研究菌株中,有181株 (18种)在RapID YST鉴定菌种数据库中,所有在库菌株种及复合体鉴定正确率为87.8% (159/181)。相比,API鉴定菌种库包含菌株174株 (18种),在库菌株种及复合体鉴定正确率为92.0% (160/174)。RapID YST与API20C对于5种临床常见的酵母样真菌的种鉴定正确率分别为93.1%和97.1%。对于库外菌株,RapID YST的鉴定错误率分别为23.1% (3/13),相比API20C的鉴定错误率为60.0% (12/20)。综合此次评估结果,二者对酵母样真菌的鉴定效能无显著差异 (McNemar检验,P>0.05)。结论两种商品化产品对酵母样真菌的鉴定效能基本一致;相较而言,RapID YST在操作便捷性、检测时间方面具有较大优势。

关键词: 侵袭性真菌病, 酵母样真菌, Rapid ID Yeast Plus, API20C AUX, 分子生物学鉴定

Abstract: Objective To conduct performance assessment on two commercialised kits for yeast identification: Rapid ID Yeast Plus (RapID YS) and API20C AUX (API20C), using molecular Methods as "gold standard".Methods A total of 194 strains of 2 yeast species were selected from China Hospital Invasive Fungal Surveillance Net (CHIF-NE) 2010 strain collection, which includes 130 strains of the five commonest species (Candida albicans,Candida tropicalis,Candida glabrata,Candida parapsilosis,Cryptococcus neoformans) that constitute 67% of the total. All strains were identified to species level by molecular methods. Identification by RapID YS and API20C were parallel conducted according to the product manufacturer's instructions.Results Amongst the isolates studied, 181 (18 species) were within the RapID YS identification database, and 87.8% (19/181 isolates) was correctly identified to species or species complex level. Comparatively, API20C database compassing a total of 174 strains (18 species), and 92.0% (160/174 isolates) was correctly identified to species or species complex level. For the five commonest yeast species, the correct identification rate of RapID YS and API20C, to species level, was 93.1% and 97.1%, respectively. For spe-cies not included in identification database, the incorrect identification rate was 23.1% (3/13) for RapID YS, and 60.0% (12/20) for API20C AUX. Overall, no significant difference was observed between two commercial Methods (McNemar test,P>0.0).Conclusions he identification capability of two commercial Methods were basically the same. RapID YS held relatively greater advantages in terms of operational convenience and turn-around time for. It possesses comprehensive application prospects for clinical applications.

Key words: invasive fungal infection, yeast, Rapid ID Yeast Plus, API20C AUX, molecular identification

中图分类号:

R446.53

范欣, 王贺, 苏霄翔, 肖盟, 马雪菲, 马超越, 刘旭光, 马然, 吴玥, 陈艳钊, 徐英春. 以分子生物学鉴定结果为“金标准”评估Rapid ID Yeast Plus及API20C AUX对酵母样真菌的鉴定效能[J]. 中国真菌学杂志, 2013, 8(5): 274-280.

FAN Xin, WANG He, SU Xiao-xiang, XIAO Meng, MA Xue-fei, MA Chao-yue, LIU Xu-guang, MA Ran, WU Yue, CHEN Yan-zhao, XU Ying-chun. Evaluation of Rapid ID Yeast Plus and API20C AUX systems in identification of yeast species,using molecular identification as ‘gold-standard’[J]. Chinese Journal of Mycology, 2013, 8(5): 274-280.

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