ReviewFrontiers in cellular and infection microbiology2026
Metagenomic next-generation sequencing: new horizons in microbiology.
Review in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has exposed vulnerabilities in global health systems while accelerating the adoption of metagenomic next-generation sequencing (mNGS) as a transformative tool for culture-independent, unbiased microbial detection. In clinical diagnostics, mNGS enables simultaneous detection of diverse pathogens without prior hypothesis, though its yield depends heavily on specimen type and clinical context. In public health, mNGS has demonstrated remarkable utility in outbreak tracing, novel pathogen discovery, antimicrobial resistance (AMR) surveillance, and One Health initiatives. However, massive data volumes pose persistent challenges in bioinformatics, standardization, and computational demands. Future integration of artificial intelligence, automated platforms, and multi-omics approaches will enhance the conversion of raw data into actionable insights. Collectively, mNGS is poised to drive a paradigm shift from reactive responses to proactive, system-level microbial surveillance across human, animal, and environmental health.
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Registered trials
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 Socratic graph.