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基于基质辅助激光解吸电离飞行时间质谱法的高危型人乳头瘤病毒高通量基因分型

High-throughput genotyping of high-risk Human Papillomavirus by MALDI-TOF Mass Spectrometry-based method.

作者信息

Cricca Monica, Marasco Elena, Alessandrini Federica, Fazio Chiara, Prossomariti Anna, Savini Claudia, Venturoli Simona, Chieco Pasquale, De Carolis Sabrina, Bonafè Massimiliano, Re Maria Carla, Garagnani Paolo, Mantovani Vilma

机构信息

Department of Experimental, Diagnostic and Specialty Medicine, University Hospital S. Orsola Malpighi, Via Massarenti 9, 40138, Bologna, Italy.

Center for Applied Biomedical Research - CRBA, University Hospital S.Orsola-Malpighi, Via Massarenti 9, 40138, Bologna, Italy.

出版信息

New Microbiol. 2015 Apr;38(2):211-23. Epub 2015 Apr 29.

PMID:25938746
Abstract

A high-throughput matrix-assisted laser desorption ionisation-time of flight (MALDI-TOF) mass spectrometry (MS)-based method was here developed to genotype 16 high-risk human papillomavirus (HPV) types in cervical cytology specimens. This method was compared to a commercial kit, the Inno-LiPA HPV genotyping assay, which detects a broad spectrum of HPV types. HPV DNA was assessed by the two methods in a total of 325 cervical cytology specimens collected in PreservCyt® solution. The overall agreement was almost perfect (Cohen's k=0.86) in term of positive and negative cases. Indeed, HPV types 16, 35, 56 and 66 showed the highest agreement values (>0.80). The highest agreement values (K >0.80) were found for all 16 HPV types in single infections, but only for HPV 16, 35, 45 and 56 in multiple infections. In conclusion, the high-throughput MS-based method developed here is well-suited for broad spectrum HPV genotyping in large-scale epidemiological studies.

摘要

本文开发了一种基于高通量基质辅助激光解吸电离飞行时间(MALDI-TOF)质谱(MS)的方法,用于对宫颈细胞学标本中的16种高危人乳头瘤病毒(HPV)进行基因分型。该方法与一种商业试剂盒Inno-LiPA HPV基因分型检测法进行了比较,后者可检测多种HPV类型。采用这两种方法对总共325份保存在PreservCyt®溶液中的宫颈细胞学标本中的HPV DNA进行了评估。在阳性和阴性病例方面,总体一致性几乎完美(科恩kappa系数k=0.86)。实际上,HPV 16、35、56和66型的一致性值最高(>0.80)。在单一感染中,所有16种HPV类型的一致性值最高(K>0.80),但在多重感染中,仅HPV 16、35、45和56型的一致性值最高。总之,本文开发的基于高通量MS的方法非常适合在大规模流行病学研究中进行广谱HPV基因分型。

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