Literature DB >> 34755585

Future potential of metagenomics in microbiology laboratories.

Leonard Schuele1, Hayley Cassidy1, Nilay Peker1, John W A Rossen1,2,3, Natacha Couto1,4.   

Abstract

Rapid and sensitive diagnostic strategies are necessary for patient care and public health. Most of the current conventional microbiological assays detect only a restricted panel of pathogens at a time or require a microbe to be successfully cultured from a sample. Clinical metagenomics next-generation sequencing (mNGS) has the potential to unbiasedly detect all pathogens in a sample, increasing the sensitivity for detection and enabling the discovery of unknown infectious agents. High expectations have been built around mNGS; however, this technique is far from widely available. This review highlights the advances and currently available options in terms of costs, turnaround time, sensitivity, specificity, validation, and reproducibility of mNGS as a diagnostic tool in clinical microbiology laboratories. The need for a novel diagnostic tool to increase the sensitivity of microbial diagnostics is clear. mNGS has the potential to revolutionize clinical microbiology. However, its role as a diagnostic tool has yet to be widely established, which is crucial for successfully implementing the technique. A clear definition of diagnostic algorithms that include mNGS is vital to show clinical utility. Similarly to real-time PCR, mNGS will one day become a vital tool in any testing algorithm.

Entities:  

Keywords:  Clinical metagenomics; clinical microbiology; diagnostics; infection; infectious disease; next-generation sequencing; pathogen

Mesh:

Year:  2021        PMID: 34755585     DOI: 10.1080/14737159.2021.2001329

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  2 in total

1.  Current status and capacity of pathogen laboratories in centers for disease control and prevention in China during the COVID-19 pandemic: A nationwide cross-sectional survey.

Authors:  Ji Wang; Peihua Niu; Ruiqing Zhang; Jingyi Li; Mingzhu Nie; Xuejun Ma
Journal:  Front Public Health       Date:  2022-08-11

2.  Nanopore-based metagenomic sequencing for the rapid and precise detection of pathogens among immunocompromised cancer patients with suspected infections.

Authors:  Qingmei Deng; Yongqing Cao; Xiaofeng Wan; Bin Wang; Aimin Sun; Huanzhong Wang; Yunfei Wang; Hongzhi Wang; Hongcang Gu
Journal:  Front Cell Infect Microbiol       Date:  2022-09-20       Impact factor: 6.073

  2 in total

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