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A Method for Detecting Five Carbapenemases in Bacteria Based on CRISPR-Cas12a Multiple RPA Rapid Detection Technology.
Xu, Huaming; Lin, Chunhui; Tang, Hao; Li, Rongrong; Xia, Zhaoxin; Zhu, Yi; Liu, Zhen; Shen, Jilu.
Afiliação
  • Xu H; The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, People's Republic of China.
  • Lin C; The First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
  • Tang H; Anhui Public Health Clinical Center, Hefei, People's Republic of China.
  • Li R; The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
  • Xia Z; The First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
  • Zhu Y; Anhui Public Health Clinical Center, Hefei, People's Republic of China.
  • Liu Z; The First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
  • Shen J; Anhui Public Health Clinical Center, Hefei, People's Republic of China.
Infect Drug Resist ; 17: 1599-1614, 2024.
Article em En | MEDLINE | ID: mdl-38699075
ABSTRACT

Introduction:

As the last line of defense for clinical treatment, Carbapenem antibiotics are increasingly challenged by multi-drug resistant bacteria containing carbapenemases. The rapid spread of these multidrug-resistant bacteria is the greatest threat to severe global health problems.

Methods:

To solve the problem of rapid transmission of this multidrug-resistant bacteria, we have developed a rapid detection technology using CRPSPR-Cas12a gene editing based on multiple Recombinase polymerase amplification. This technical method can directly isolate the genes of carbapenemase-containing bacteria from samples, with a relatively short detection time of 30 minutes. The instrument used for the detection is relatively inexpensive. Only a water bath can complete the entire experiment of Recombinase polymerase amplification and trans cleavage. This reaction requires no lid during the entire process while reducing a large amount of aerosol pollution.

Results:

The detection sensitivity of this method is 1.5 CFU/mL, and the specificity is 100%.

Discussion:

This multi-scene detection method is suitable for screening populations in wild low-resource environments and large-scale indoor crowds. It can be widely used in hospital infection control and prevention and to provide theoretical insights for clinical diagnosis and treatment.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article