2022
DOI: 10.1038/s41598-022-25314-y
|View full text |Cite
|
Sign up to set email alerts
|

Diagnostic accuracy of metagenomic next-generation sequencing in diagnosing infectious diseases: a meta-analysis

Abstract: Many common pathogens are difficult or impossible to detect using conventional microbiological tests. However, the rapid and untargeted nature of metagenomic next-generation sequencing (mNGS) appears to be a promising alternative. To perform a systematic review and meta-analysis of evidence regarding the diagnostic accuracy of mNGS in patients with infectious diseases. An electronic literature search of Embase, PubMed and Scopus databases was performed. Quality was assessed using the Quality Assessment of Diag… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
10
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 22 publications
(10 citation statements)
references
References 46 publications
0
10
0
Order By: Relevance
“…As clinical and academic teams came together through the unifying pandemic imperative [10], the translational research timeline for pathogen sequencing shortened. Diagnostic accuracy studies are beginning to demonstrate satisfactory performance with pathogen detection [11 ▪ ,12 ▪ ] and there are innovative approaches to detecting AMR elements using nanopore sequencing with cas9 enrichment [13 ▪ ] or predicting AMR using machine learning [14]. There is also increasing focus on clinical laboratory quality requirements including validation, reproducibility, setting limits of detection, and producing positive and negative internal controls and externally distributed reference materials for quality assurance [15].…”
Section: The Respiratory Metagenomics Propositionmentioning
confidence: 99%
“…As clinical and academic teams came together through the unifying pandemic imperative [10], the translational research timeline for pathogen sequencing shortened. Diagnostic accuracy studies are beginning to demonstrate satisfactory performance with pathogen detection [11 ▪ ,12 ▪ ] and there are innovative approaches to detecting AMR elements using nanopore sequencing with cas9 enrichment [13 ▪ ] or predicting AMR using machine learning [14]. There is also increasing focus on clinical laboratory quality requirements including validation, reproducibility, setting limits of detection, and producing positive and negative internal controls and externally distributed reference materials for quality assurance [15].…”
Section: The Respiratory Metagenomics Propositionmentioning
confidence: 99%
“…Current investigations combine more than one omics approach to image a highresolution picture of the gut microbiota dynamics [41]. Genomics is concerned with identifying the genetic composition of a single bacterium, but metagenomics is concerned with identifying the genetic composition of an entire community of bacterial communities (for instance, the entire gut microbiome of humans) [42]. Metagenomics consists of several culture-independent techniques (i.e., experimental and bioinformatic approaches) to analyze extracted DNA directly from biological samples, such as saliva, stool, and sputum [43].…”
Section: Gut Dysbiosis In Hepatic Encephalopathymentioning
confidence: 99%
“…Pathogens can be identified from clinical and environmental samples using metagenomic sequencing—deep sequencing to recover pathogen genomic sequences [ 3 , 4 ]. The information generated from rapid pathogen identification is critical for guiding rapid response policies [ 4 , 5 , 6 , 7 ]. For example, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first characterised using metagenomic sequencing when unknown cases of pneumonia began appearing in Wuhan, China (see Section 4 .…”
Section: Introductionmentioning
confidence: 99%