Evidence map›Paper›PMID 40488536›Full record

ArticleMicrobiology spectrum2025

Development of a high-sensitivity vertical flow immunoassay for the detection of Rift Valley fever virus.

Alexander J Summers, Haydon J Hill, Jasmine P Devadhasan, Jian Gu, Vanessa Berner, Sujata G Pandit, Marcellene A Gates-Hollingsworth, Kathryn J Pflughoeft, Douglas C Montgomery, Supriya Atta and 3 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Alexander J Summers *Center for Applied NanoBioscience and Medicine, College of Medicine, University of Arizona, Phoenix, Arizona, USA.ORCID 0000-0002-7372-0610
Haydon J Hill *Department of Microbiology and Immunology, University of Nevada Reno School of Medicine, Reno, Nevada, USA.
Jasmine P DevadhasanCenter for Applied NanoBioscience and Medicine, College of Medicine, University of Arizona, Phoenix, Arizona, USA.
Jian GuCenter for Applied NanoBioscience and Medicine, College of Medicine, University of Arizona, Phoenix, Arizona, USA.
Vanessa BernerDepartment of Microbiology and Immunology, University of Nevada Reno School of Medicine, Reno, Nevada, USA.
Sujata G PanditDepartment of Microbiology and Immunology, University of Nevada Reno School of Medicine, Reno, Nevada, USA.
Marcellene A Gates-HollingsworthDepartment of Microbiology and Immunology, University of Nevada Reno School of Medicine, Reno, Nevada, USA.
Kathryn J PflughoeftDepartment of Microbiology and Immunology, University of Nevada Reno School of Medicine, Reno, Nevada, USA.
Douglas C MontgomerySchool of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, USA.
Supriya AttaFitzpatrick Institute for Photonics, Departments of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Tuan Vo-DinhFitzpatrick Institute for Photonics, Departments of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
David P AuCoinDepartment of Microbiology and Immunology, University of Nevada Reno School of Medicine, Reno, Nevada, USA.ORCID 0000-0002-2197-8177
Frederic ZenhausernCenter for Applied NanoBioscience and Medicine, College of Medicine, University of Arizona, Phoenix, Arizona, USA.ORCID 0000-0001-8360-9118

Funding

Advanced Technology International MCDC-18-04-09-002Chemical Biological Technologies Directorate HDTRA1-16-C-0026
6 · The paper itself

Abstract

Rift Valley fever (RVF) is a vector-borne, zoonotic infectious disease with a proven history of morbidity and mortality in both humans and animals. Rift Valley fever virus (RVFV) is categorized as a high-priority biothreat agent by the Centers for Disease Control and Prevention and poses a serious national threat due to its ease of dissemination and potential for social disruption. RVF often presents as a febrile disease without specific symptoms, making early-stage detection particularly challenging. As such, it is critical that rapid, sensitive, and specific diagnostics are available for the detection of RVFV. While lateral flow immunoassays (LFIs) have been developed and validated for point-of-care (POC) diagnostics, vertical flow immunoassays (VFIs) provide enhanced analytical sensitivity and are equally suitable for POC use. In this study, we developed a VFI system for the detection of RVFV, achieving a limit of detection of 0.78 ng/mL, which is a 2.5-fold increase in analytical sensitivity compared to an LFI prototype. Furthermore, minimal cross-reactivity was demonstrated when performing the assay with target analytes of other high-priority biothreats and one other common viral nucleoprotein. This high-sensitivity VFI has the potential to prove useful for the detection of RVFV and other high-priority biothreat agents at the POC.IMPORTANCEIn this study, we have developed a rapid, sensitive vertical flow immunoassay (VFI) for the detection of Rift Valley fever virus (RVFV) in spiked human serum. The prototype diagnostic described in this research was shown to be more sensitive than traditional methods, such as lateral flow dipstick tests. Moreover, the VFI is readily deployable at the point of care in resource-limited settings. The ability of the described diagnostic to accurately and rapidly detect RVFV in samples could expedite the delivery of life-saving care and thus improve patient outcomes.

Indexed as

Rift Valley FeverRift Valley fever virusAnimalsAntibodies, ViralHumansImmunoassayLimit of DetectionPoint-of-Care SystemsSensitivity and SpecificityAntibodies, Viralbiothreat agentscolorimetric detectionrapid antigen testRift Valley fever virusvertical flow device

Identifiers

PMID40488536
PMCPMC12210913

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.