Yuexi Li

Dr. Yuexi Li


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 November 2020 in Molecular Cell
Verified
Journal Article
Closed access
JLJingjing Lin
Jingjing Lin
KCKai Chen
Kai Chen
WCWenfeng Chen
Wenfeng Chen
YYYizhou Yao
Yizhou Yao
SNShiwei Ni
Shiwei Ni
YYYufeng Yang
Yufeng Yang

20 October 2022 in Pathogens
Verified
Journal Article
Open access
PDF file
YQYong Qi
Yong Qi
KLKun Li
Kun Li
YLYuxi Li
Yuxi Li
DGDonglin Guo
Donglin Guo
JXJing Xu
Jing Xu
Wenping GongWenping Gong
Wenping Gong
Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis, which infects more than 23% of the world’s population. With the emergence of drug-resistant TB (DR-TB) and latent TB infection (LTBI), rapid diagnosis of DR-TB and LTBI has become a challenge for the prevention and control of TB. Herein, we highlight these challenges and discuss emerging clustered regularly interspaced short palindromic repeats (CRISPR)-based diagnostics in TB detection. Currently, the clinical diagnosis of M. tuberculosis infection mainly depends on pathogenic and molecular biological methods, including sputum smear, sputum culture, and Xpert. Although CRISPR-based diagnostics have not been applied to the clinical diagnosis of TB, they have shown exciting preponderances in TB diagnosis compared with traditional methods, including higher sensitivity, less sample input, and shorter turnaround time. CRISPR-based diagnostics represent a potential tool to address the challenges and natural weaknesses associated with traditional TB diagnosis methods. Based on the currently available data, we suggest that future CRISPR-based TB diagnostics should be developed in the direction of automation, modularization, diversification, and intelligence. By combining the CRISPR platform with various systems, such as microfluidic chips, droplet microfluidics, electrochemical techniques, and optical systems, the specificity and sensitivity of TB diagnosis may be revolutionized.

11 September 2024 in Biosafety and Health
Verified
Journal Article
Open access
WLWenjing Liu
Wenjing Liu
EZErxin Zhang
Erxin Zhang
WLWei Li
Wei Li
RLRuichen Lv
Ruichen Lv
YLYanfeng Lin
Yanfeng Lin
YLYuexi Li
Yuexi Li
• The updated epidemiological data of mpox call for urgent global attention. • Advancements in primary detection methods for mpox aim to provide complementary advantages for different detection scenarios. • The utilization of biosensors in the detection of mpox represents the future development trend in detection technology. • Challenges still exist in mpox detection, but the prospects remain promising.

26 July 2022 in Frontiers in Cellular and Infection Microbiology
Verified
Journal Article
Open access
YQYong Qi
Yong Qi
LALele Ai
Lele Ai
JJJun Jiao
Jun Jiao
JWJunhu Wang
Junhu Wang
DWDeping Wu
Deping Wu
WTWeilong Tan
Weilong Tan
Background: Spotted fever group Rickettsia (SFGR), containing various pathogenic Rickettsia spp., poses remarkable negative influences to public health by causing various severe or mild diseases. Information regarding prevalence of SFGR in ticks in Jiangsu province, Eastern China, is still limited and needs urgent investigations.Methods: Hedgehog- and bovine-attached ticks were collected from Jiangsu province, Eastern China. DNA of individual ticks was extracted for nested polymerase chain reaction amplifications targeting gltA, 16S ribosomal RNA (rrs), ompA, ompB, and sca4 genes following with sequencing. SFGR-specific IgG antibodies in sera of local donators were evaluated using ELISA.Results: Overall, 144 (83.2%) of the 173 ticks from hedgehogs and 2 (1.2%) of the 168 ticks from bovine were positive for one of the three identified Rickettsia spp., with significant difference between the two groups (P = 3.6e-52). Candidatus Rickettsia principis (9; 5.2%) and R. heilongjiangensis (135; 78.0%) were detected in Haemaphysalis flava rather than in H. longicornis ticks from hedgehogs. R. heilongjiangensis (1; 0.6%) and Candidatus R. jingxinensis (or Candidatus R. longicornii) (1; 0.6%) were identified in H. longicornis and Rhipicephalus microplus ticks from bovine, respectively. Phylogenetic analysis indicated Candidatus R. jingxinensis belonged to R. japonica subgroup, whereas Candidatus R. principis belonged to a novel subgroup. Higher serological prevalence of spotted fever and SFGR-specific IgG antibody level in humans were observed around the investigated area than in urban areas, without significant difference.Conclusion: Candidatus R. principis and Candidatus R. jingxinensis were identified in Jiangsu province, Eastern China, and fully genetically characterized for the first time. The higher prevalence of SFGR in hedgehog-attached ticks as well as the higher SFGR-specific IgG antibody level and seropositive rate in humans around the investigated area suggested that more attention should be paid to SFGR. This pathogen is usually transmitted or harbored by wild animals and ticks. This study provides important epidemiological data for both physicians and public health officers in developing early prevention and control strategies against potential Rickettsia infections and in the preparation of suitable testing and treatment needs for rickettsiosis in the endemic areas.

26 November 2018 in PLOS ONE
Verified
Journal Article
Open access
PDF file
YQYong Qi
Yong Qi
YSYinxiu Shao
Yinxiu Shao
JRJixian Rao
Jixian Rao
WSWanpeng Shen
Wanpeng Shen
QYQiong Yin
Qiong Yin
YLYuexi Li
Yuexi Li
Rickettsia rickettsii is the causative agent of Rocky Mountain spotted fever, which is the most severe spotted fever group (SFG) rickettsiosis. Developing a simple and reliable detection method is required. A detection method for R. rickettsii was established based on a recombinase polymerase amplification (RPA) assay and the lateral flow (LF) test. A specific target sequence was screened, and corresponding primers and probes were designed, synthesized, and screened for establishing an RPA assay with high amplification efficiency. Reagent concentrations, amplification time, and loading volume for strip development were optimized. The detection limit, analytic sensitivity and specificity were evaluated. A rapid, visual, sensitive and specific method for the detection of R. rickettsii based on RPA and the LF test was successfully established. The novel method had a limit of detection of 10 to 50 copies/reaction without recognizing other organisms. Analytical sensitivity and specificity were ≥90% and 100%, respectively, as evaluated by animal and simulative human samples. Using the established method, detection could be completed in 30 min with visually detectable results by the naked eye, without requirement of any instrument except a constant temperature equipment. The technique shows superior detection performance and is promising for wide use in the field as well as resource-limited areas for R. rickettsii detection.

17 May 2022 in International Immunopharmacology
Verified
Journal Article
Closed access
WGWenping Gong
Wenping Gong
YMYingqing Mao
Yingqing Mao
YLYuexi Li
Yuexi Li
YQYong Qi
Yong Qi