Development of a droplet digital PCR method for the detection of Ureaplasma urealyticum

Background: Human infection with Ureaplasma urealyticum(UU) is mainly manifested as non-gonococcal urethritis, where it can lead to cervicitis, premature rupture of membranes and abortion in women, as well as infertility in males, which becomes a major problem in clinical diagnosis and treatment. At...

Full description

Saved in:
Bibliographic Details
Main Authors: Yong-Zhuo Zhou, Yun-Hu Zhao, Yan-Lan Chen, Hua Luo, Yu-lin Zhou, Bing Gu, Wei-Zhen Fang, Chao-Hui Duan, Xu-Guang Guo
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Practical Laboratory Medicine
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352551724000891
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841526296858853376
author Yong-Zhuo Zhou
Yun-Hu Zhao
Yan-Lan Chen
Hua Luo
Yu-lin Zhou
Bing Gu
Wei-Zhen Fang
Chao-Hui Duan
Xu-Guang Guo
author_facet Yong-Zhuo Zhou
Yun-Hu Zhao
Yan-Lan Chen
Hua Luo
Yu-lin Zhou
Bing Gu
Wei-Zhen Fang
Chao-Hui Duan
Xu-Guang Guo
author_sort Yong-Zhuo Zhou
collection DOAJ
description Background: Human infection with Ureaplasma urealyticum(UU) is mainly manifested as non-gonococcal urethritis, where it can lead to cervicitis, premature rupture of membranes and abortion in women, as well as infertility in males, which becomes a major problem in clinical diagnosis and treatment. At present, real-time fluorescence quantitative PCR and culture are the two main methods for detecting UU. The real-time fluorescence quantitative PCR method is cumbersome and cannot accomplish absolute quantification on nucleic acids, while the cultivation method has limitations such as low sensitivity and being time-consuming. The aim of this study is to establish a more rapid and accurate droplet digital PCR(ddPCR) method for the detection of UU. Methods: Primers were designed for the ParC gene of UU. Nucleic acids from a standard strain of UU were extracted. Specificity, sensitivity, and repeatability detection was performed using ddPCR, and the detection performance of ddPCR was evaluated. Results: The detection process could be completed in 92 min. It has a high sensitivity of up to 3.8 pg/μL. With a high specificity, no positive microdrop were detected in eight negative control pathogens in this experiment. In addition, ddPCR detection of UU has good repeatability, and the calculated CV is 2.1 %. Conclusion: Our data indicated that ddPCR detection technology has the characteristics of absolute quantification, high stability, high specificity and high sensitivity of UU. It can promote the accurate detection of UU, providing a more scientific basis for clinical diagnosis and treatment.
format Article
id doaj-art-b4c7a1061fc74b3ca0796ee93b1cd498
institution Kabale University
issn 2352-5517
language English
publishDate 2025-01-01
publisher Elsevier
record_format Article
series Practical Laboratory Medicine
spelling doaj-art-b4c7a1061fc74b3ca0796ee93b1cd4982025-01-17T04:49:37ZengElsevierPractical Laboratory Medicine2352-55172025-01-0143e00443Development of a droplet digital PCR method for the detection of Ureaplasma urealyticumYong-Zhuo Zhou0Yun-Hu Zhao1Yan-Lan Chen2Hua Luo3Yu-lin Zhou4Bing Gu5Wei-Zhen Fang6Chao-Hui Duan7Xu-Guang Guo8Laboratory of Clinical, The Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, ChinaDepartment of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, ChinaGuangzhou Xiaoqi Biotechnology Co., LTD, Guangzhou, 510699, ChinaLaboratory of Clinical, The Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, ChinaDepartment of Clinical Laboratory Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, ChinaDepartment of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, ChinaLaboratory of Clinical, The Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China; Corresponding author.Laboratory of Clinical, The Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China; Corresponding author.Department of Clinical Laboratory Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China; Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, King Med School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, 510000, China; Corresponding author. Department of Clinical Laboratory Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.Background: Human infection with Ureaplasma urealyticum(UU) is mainly manifested as non-gonococcal urethritis, where it can lead to cervicitis, premature rupture of membranes and abortion in women, as well as infertility in males, which becomes a major problem in clinical diagnosis and treatment. At present, real-time fluorescence quantitative PCR and culture are the two main methods for detecting UU. The real-time fluorescence quantitative PCR method is cumbersome and cannot accomplish absolute quantification on nucleic acids, while the cultivation method has limitations such as low sensitivity and being time-consuming. The aim of this study is to establish a more rapid and accurate droplet digital PCR(ddPCR) method for the detection of UU. Methods: Primers were designed for the ParC gene of UU. Nucleic acids from a standard strain of UU were extracted. Specificity, sensitivity, and repeatability detection was performed using ddPCR, and the detection performance of ddPCR was evaluated. Results: The detection process could be completed in 92 min. It has a high sensitivity of up to 3.8 pg/μL. With a high specificity, no positive microdrop were detected in eight negative control pathogens in this experiment. In addition, ddPCR detection of UU has good repeatability, and the calculated CV is 2.1 %. Conclusion: Our data indicated that ddPCR detection technology has the characteristics of absolute quantification, high stability, high specificity and high sensitivity of UU. It can promote the accurate detection of UU, providing a more scientific basis for clinical diagnosis and treatment.http://www.sciencedirect.com/science/article/pii/S2352551724000891Droplet digital PCRUreaplasma urealyticumQuantitative testing
spellingShingle Yong-Zhuo Zhou
Yun-Hu Zhao
Yan-Lan Chen
Hua Luo
Yu-lin Zhou
Bing Gu
Wei-Zhen Fang
Chao-Hui Duan
Xu-Guang Guo
Development of a droplet digital PCR method for the detection of Ureaplasma urealyticum
Practical Laboratory Medicine
Droplet digital PCR
Ureaplasma urealyticum
Quantitative testing
title Development of a droplet digital PCR method for the detection of Ureaplasma urealyticum
title_full Development of a droplet digital PCR method for the detection of Ureaplasma urealyticum
title_fullStr Development of a droplet digital PCR method for the detection of Ureaplasma urealyticum
title_full_unstemmed Development of a droplet digital PCR method for the detection of Ureaplasma urealyticum
title_short Development of a droplet digital PCR method for the detection of Ureaplasma urealyticum
title_sort development of a droplet digital pcr method for the detection of ureaplasma urealyticum
topic Droplet digital PCR
Ureaplasma urealyticum
Quantitative testing
url http://www.sciencedirect.com/science/article/pii/S2352551724000891
work_keys_str_mv AT yongzhuozhou developmentofadropletdigitalpcrmethodforthedetectionofureaplasmaurealyticum
AT yunhuzhao developmentofadropletdigitalpcrmethodforthedetectionofureaplasmaurealyticum
AT yanlanchen developmentofadropletdigitalpcrmethodforthedetectionofureaplasmaurealyticum
AT hualuo developmentofadropletdigitalpcrmethodforthedetectionofureaplasmaurealyticum
AT yulinzhou developmentofadropletdigitalpcrmethodforthedetectionofureaplasmaurealyticum
AT binggu developmentofadropletdigitalpcrmethodforthedetectionofureaplasmaurealyticum
AT weizhenfang developmentofadropletdigitalpcrmethodforthedetectionofureaplasmaurealyticum
AT chaohuiduan developmentofadropletdigitalpcrmethodforthedetectionofureaplasmaurealyticum
AT xuguangguo developmentofadropletdigitalpcrmethodforthedetectionofureaplasmaurealyticum