Evidence map›Paper›PMID 42079444›Full record

ReviewmLife2026

Emerging role of metagenomic next-generation sequencing in infectious disease diagnostics: Clinical integration and future directions.

Tingting Fang, Feifei Yuan, Yu Chen, Na Li, Yao Zhang, Haixia Liu, Xingchen Liu, Qing Miao, Bijie Hu

Abstract readReview
In one paragraph

Review in mLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Tingting FangDepartment of Infectious Diseases, Zhongshan Hospital Fudan University Shanghai China.
Feifei YuanDepartment of Infectious Diseases, Zhongshan Hospital Fudan University Shanghai China.
Yu ChenDepartment of Infectious Diseases, Zhongshan Hospital Fudan University Shanghai China.
Na LiDepartment of Infectious Diseases, Zhongshan Hospital Fudan University Shanghai China.
Yao ZhangDepartment of Infectious Diseases, Zhongshan Hospital Fudan University Shanghai China.
Haixia LiuDepartment of Infectious Diseases, Zhongshan Hospital Fudan University Shanghai China.
Xingchen LiuDepartment of Infectious Diseases, Zhongshan Hospital Fudan University Shanghai China.
Qing MiaoDepartment of Infectious Diseases, Zhongshan Hospital Fudan University Shanghai China.
Bijie HuDepartment of Infectious Diseases, Zhongshan Hospital Fudan University Shanghai China.ORCID https://orcid.org/0009-0001-4757-8788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious disease diagnostics has been transformed by metagenomic next-generation sequencing (mNGS), an unbiased approach that detects bacteria, viruses, fungi, and parasites in a single assay. By sequencing all nucleic acids in a sample, mNGS overcomes the narrow detection scope and slow turnaround of conventional tests, substantially improving pathogen detection. In conditions such as meningitis/encephalitis, sepsis, and pneumonia, mNGS frequently identifies etiologies missed by routine diagnostic tests, thereby facilitating earlier pathogen-directed therapy and, in selected settings, improving clinical management and outcomes. This approach is particularly valuable for immunocompromised, pediatric, and intensive care unit (ICU) patients with atypical infections. Currently, clinical mNGS workflows primarily rely on short-read sequencing platforms (e.g., Illumina), whereas long-read platforms (e.g., Nanopore, PacBio) offer advantages for rapid or high-resolution applications. Optimized bioinformatics and stringent quality control are essential for reliable results. Beyond clinical diagnostics, mNGS provides valuable genetic data on antimicrobial resistance (AMR) and pathogen phylogeny, supporting public health and outbreak surveillance (e.g., wastewater monitoring and variant tracking). Current challenges include distinguishing colonization from infection, interpreting sequencing data quantitatively, and reducing cost and turnaround time. Looking ahead, emerging strategies such as targeted panels, rapid automated workflows, and host‑response integration are expected to further shorten time‑to‑result and improve diagnostic specificity. Parallel progress in ethical and regulatory frameworks remains essential to ensure responsible implementation. To support clinical adoption, a standardized framework for clinical interpretation of mNGS results, together with associated training, has been developed and implemented. Overall, mNGS is likely to become an increasingly important component of infectious disease diagnostics, with ongoing innovations expected to broaden its clinical and epidemiological impact.

Indexed as

bioinformatics pipelinesinfectious disease diagnosticsmetagenomic next‐generation sequencing (mNGS)public health surveillancestandardization of mNGS results

Identifiers

PMID42079444
PMCPMC13131327

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.