Evidence map›Paper›PMID 39664603›Full record

ArticleBiology methods & protocols2024

Development of a large-scale rapid LAMP diagnostic testing platform for pandemic preparedness and outbreak response.

Rinie van Beuningen, Kin Ki Jim, Maikel Boot, Michel Ossendrijver, Bart J F Keijser, Jeroen H B van de Bovenkamp, Willem J G Melchers, Tim Kievits

Abstract read
In one paragraph

Article in Biology methods & protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Rinie van BeuningenStichting Therapie op Maat (TOMi Foundation), 's-Hertogenbosch, 5223DE, The Netherlands.
Kin Ki JimDepartment of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, CH-1015, Switzerland.ORCID https://orcid.org/0000-0001-7486-0319
Maikel BootMicrobiology and Systems Biology, Netherlands Organisation for Applied Scientific Research (TNO), Leiden, 2333BE, The Netherlands.
Michel OssendrijverMicrobiology and Systems Biology, Netherlands Organisation for Applied Scientific Research (TNO), Leiden, 2333BE, The Netherlands.
Bart J F KeijserMicrobiology and Systems Biology, Netherlands Organisation for Applied Scientific Research (TNO), Leiden, 2333BE, The Netherlands.ORCID https://orcid.org/0000-0003-1597-2948
Jeroen H B van de BovenkampEurofins PAMM Laboratorium Medisch Microbiology, Veldhoven, 5504DL, The Netherlands.
Willem J G MelchersDepartment of Medical Microbiology, Radboud University Medical Center, Nijmegen, 6525AJ, The Netherlands.
Tim KievitsStichting Therapie op Maat (TOMi Foundation), 's-Hertogenbosch, 5223DE, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic underscored the necessity for rapid and efficient diagnostic testing to mitigate outbreaks and control disease transmission. While real-time reverse transcriptase quantitative PCR (RT-qPCR) has been the gold standard due to its high sensitivity and specificity, its logistical complexities and extended turnaround times highlighted the need for alternative molecular methods and non-standard equipment and consumables not subject to supply chain pressure. Loop-mediated isothermal amplification (LAMP) offers several advantages over RT-qPCR, including faster processing time, assay flexibility and cost-effectiveness. During the pandemic, LAMP was successfully demonstrated as a viable alternative to RT-qPCR for SARS-Related Coronavirus 2 detection. However, due to a 100 to 1,000-fold increase in testing volumes, there was an imminent need for automating and scaling up existing LAMP testing workflows leveraging a robotic infrastructure, while retaining analytical performance and cost-effectiveness. In 2020, the Foundation TOMi started the "TOMi corona initiative" to develop and validate a high-throughput, end-to-end, automated, scalable single-step RNA purification, and LAMP-based COVID-19 testing system called SMART-LAMP (Scalable Molecular Automation for Rapid Testing using LAMP) that can process up to 40,000 samples per day using existing laboratory equipment infrastructure with sensitivity comparable to RT-qPCR. This system provides a rapid and scalable diagnostic solution for future pandemics, capable of processing over 40,000 samples per day. In addition, the system is designed to minimize consumable costs and reduces the overall use of plastics to align with increasingly strict sustainability goals that will be imposed over the coming years. Importantly, this system and public-private partnerships in the TOMi corona initiative has the potential to serve as a baseline to enhance pandemic preparedness and response capabilities.

Indexed as

COVID-19LAMPpandemic preparednessSARS-CoV-2SMART-LAMP

Identifiers

PMID39664603
PMCPMC11634539

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.