机构：[1]Faculty of Life Science and Technology, Kunming University of Science and Technology , Kunming, Yunnan, China.[2]Yunnan Kecan Biotechnology Co., Ltd , Kunming, China.[3]The Affiliated Anning First People's Hospital, Kunming University of Science and Technology , Kunming, China.[4]Yunnan SCISPARK Genetic Testing Lab, Yunnan SCISPARK Biotechnology Co., Ltd , Kunming, China.
This study developed a highly sensitive and efficient method for the detection of brucellosis by introducing a one-tube nested quantitative real-time PCR (qPCR) approach, representing a remarkable advance in the field. The method demonstrated an impressive analytical sensitivity of 100 fg/μL, surpassing conventional qPCR and enabling the detection of even low levels of Brucella DNA. In addition, the study's comprehensive evaluation of 250 clinical samples revealed a specificity of 100% and a sensitivity of 98.6%, underscoring its reliability and accuracy. Most importantly, the new method significantly improved the detection rate of low-burden samples, reducing cycle threshold values by an average of 6.4. These results underscore the immense potential of this approach to facilitate rapid and accurate brucellosis diagnosis, which is critical for effective disease management and control.
基金：
This research was supported fnancially by Yunnan Major Scientifc and Technological Projects (202202AG050013),the Reserve Talents Project for Young and Middle-Aged Academic and Technical Leaders of Yunnan Province (2019HB012), and Youth Talent Program of Yunnan “Ten-thousand Talents Program" (YNWR-QNBJ-2018-054).
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2023]版：
大类|2 区生物学
小类|3 区微生物学
最新[2023]版：
大类|2 区生物学
小类|3 区微生物学
第一作者：
第一作者机构：[1]Faculty of Life Science and Technology, Kunming University of Science and Technology , Kunming, Yunnan, China.
共同第一作者：
通讯作者：
通讯机构：[1]Faculty of Life Science and Technology, Kunming University of Science and Technology , Kunming, Yunnan, China.[3]The Affiliated Anning First People's Hospital, Kunming University of Science and Technology , Kunming, China.
推荐引用方式(GB/T 7714)：
Liu Li,Li Mengyao,Liu Gaowen,et al.A novel, highly sensitive, one-tube nested quantitative real-time PCR for Brucella in human blood samples[J].Microbiology Spectrum.2023,11(6):e0058223.doi:10.1128/spectrum.00582-23.
APA：
Liu Li,Li Mengyao,Liu Gaowen,He Jian,Liu Yang...&Xia Xueshan.(2023).A novel, highly sensitive, one-tube nested quantitative real-time PCR for Brucella in human blood samples.Microbiology Spectrum,11,(6)
MLA：
Liu Li,et al."A novel, highly sensitive, one-tube nested quantitative real-time PCR for Brucella in human blood samples".Microbiology Spectrum 11..6(2023):e0058223
