Evidence map›Paper›PMID 40871409›Full record

ReviewMicroorganisms2025

Next-Generation Nucleic Acid-Based Diagnostics for Viral Pathogens: Lessons Learned from the SARS-CoV-2 Pandemic.

Amy Papaneri, Guohong Cui, Shih-Heng Chen

Abstract readReview
In one paragraph

Review in Microorganisms, 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. Review
  2. Article
  3. 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

3 authors.

Amy PapaneriIn Vivo Neurobiology Group, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC 27709, USA.ORCID 0000-0003-2144-2441
Guohong CuiIn Vivo Neurobiology Group, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC 27709, USA.ORCID 0000-0002-4555-028X
Shih-Heng ChenViral Vector Core Facility, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC 27709, USA.ORCID 0000-0002-5853-6903

Funding

Basal Ganglia in Health and DiseaseZIAES103310 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI CUI, GUOHONG · 2016 to 2025
$23.6M
Viral Vector CoreZICES102506 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MARTIN, NEGIN · 2009 to 2025
$18.4M
Intramural NIH HHS ZIA ES103310Intramural NIH HHS ZIC ES102506NIH Intramural Research Program 1ZIAES103310NIH Intramural Research Program 1ZICES102506
6 · The paper itself

Abstract

The COVID-19 pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), catalyzed unprecedented innovation in molecular diagnostics to address critical gaps in rapid pathogen detection. Over the past five years, CRISPR-based systems, isothermal amplification techniques, and portable biosensors have emerged as transformative tools for nucleic acid detection, offering improvements in speed, sensitivity, and point-of-care applicability compared to conventional PCR. While numerous reviews have cataloged the technical specifications of these platforms, a critical gap remains in understanding the strategic and economic hurdles to their real-world implementation. This review provides a forward-looking analysis of the feasibility, scalability, and economic benefits of integrating these next-generation technologies into future pandemic-response pipelines. We synthesize advances in coronavirus-specific diagnostic platforms and attempt to highlight the need for their implementation as a cost-saving measure during surges in clinical demand. We evaluate the feasibility of translating these technologies-particularly CRISPR-Cas integration with recombinase polymerase amplification (RPA)-into robust first-line diagnostic pipelines for novel viral threats. By analyzing the evolution of diagnostic strategies during the COVID-19 era, we aim to provide strategic insights and new directions for developing and deploying effective detection platforms to better confront future viral pandemics.

Indexed as

aptasensorcoronavirusCRISPR-CasdetectionepidemiologyisothermalpandemicRTPCRSARS-CoV-2transmission

Identifiers

PMID40871409
PMCPMC12388196

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.