Evidence map›Paper›PMID 40559562›Full record

ReviewPathogens (Basel, Switzerland)2025

Advancements in Pathogen Detection: Argonaute-Based Nucleic Acid Detection Technology.

Meng Hong, Guodi Wu, Yanli Ren, Shanshan Wu, Haihong Zhu, Zhi Chen

Abstract readReview
In one paragraph

Review in Pathogens (Basel, Switzerland), 2025. 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. Article
  3. Establishment of a RapidBiosensors · 2026
    Article
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

6 authors.

Meng HongState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China.ORCID 0000-0002-9961-5448
Guodi WuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China.
Yanli RenState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China.
Shanshan WuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China.
Haihong ZhuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China.ORCID 0000-0002-5387-8832
Zhi ChenState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China.ORCID 0000-0002-0848-1502

Funding

National Key Research and Development Program 2021YFF0600805
6 · The paper itself

Abstract

In recent years, global public health security has encountered significant challenges, with infectious diseases accounting for approximately 25% of global mortality annually. The worldwide pandemic instigated by the novel coronavirus, alongside the persistent threats posed by Ebola, influenza, and multidrug-resistant bacteria, has severely compromised human health, economic development, and social stability. Within this context, the development of rapid and precise pathogen detection technologies has emerged as a critical frontline defense for epidemic prevention and control, serving as a pivotal component in the implementation of the "early detection, early isolation, and early treatment" strategy. The Argonaute (Ago) protein, recognized as a programmable and target-specific activated nuclease, has demonstrated substantial potential in the realm of nucleic acid detection due to its distinctive biological properties, garnering considerable attention. In this study, we delineate the structural characteristics of Ago proteins and elucidate the mechanism underlying their nuclease activity. Furthermore, we review the principles of nucleic acid detection based on Argonaute and provide a comprehensive analysis of recent advancements in related detection systems. Additionally, we compare the advantages of detection based on Argonaute with other detection methodologies. Through a comprehensive analysis, we aim to provide a robust theoretical foundation and an advanced technical reference for the development of new-generation nucleic acid detection platforms with high sensitivity and high specificity.

Indexed as

Argonaute ProteinsNucleic AcidsHumansArgonaute ProteinsNucleic AcidsArgonautenucleic acid testingpathogen detection

Identifiers

PMID40559562
PMCPMC12196298

What OpenQuestion holds

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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.