Evidence map›Paper›PMID 42233650›Full record

ArticleMicrobiology spectrum2026

Evaluating myxovirus resistance protein A-based rapid testing combined with pathogen sequencing for arboviral and incidental viral infection surveillance in Senegal.

Mouhamed Kane, Serge Freddy Moukaha Doukanda, Safietou Sankhé, Bocar Sow, Marie Henriette Dior Ndione, Moundhir Mhamadi, Madeleine Dieng, Seynabou Mbaye Ba Souna Diop, Seynabou Seye, Maimouna Mbanne and 9 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Mouhamed KaneVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Serge Freddy Moukaha DoukandaVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Safietou SankhéVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Bocar SowPublic Health Department, Institut Pasteur de Dakar, Dakar, Senegal.
Marie Henriette Dior NdioneVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Moundhir MhamadiDIATROPIX Unit, Institut Pasteur de Dakar, Dakar, Senegal.
Madeleine DiengVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Seynabou Mbaye Ba Souna DiopVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Seynabou SeyeVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Maimouna MbanneVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Oumar FayeVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Mamadou Aliou BarryPublic Health Department, Institut Pasteur de Dakar, Dakar, Senegal.
Pape Mbacke SembeneAnimal Biology Department, Université Cheikh Anta Diop de Dakar, Dakar, Senegal.
Cheikh LoucoubarEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, Dakar, Senegal.
Gamou FallVirology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Amadou DialloEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, Dakar, Senegal.
Cheikh Tidiane Diagne *DIATROPIX Unit, Institut Pasteur de Dakar, Dakar, Senegal.
Ndongo Dia *Virology Department, Institut Pasteur de Dakar, Dakar, Senegal.
Moussa Moise Diagne *Virology Department, Institut Pasteur de Dakar, Dakar, Senegal.ORCID 0000-0001-5461-5623

Funding

West African Center for Emerging Infectious DiseasesU01AI151801 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Robert W Cross, Scott C Weaver · 2020 to 2026
$10.1M
Bill and Melinda Gates Foundation INV-01878, INV-036413Bill & Melinda Gates Foundation INV-001878Bill & Melinda Gates Foundation INV-036413Grand Challenges Canada GCC-2406-65794NIAID NIH HHS U01 AI151801NIH HHS NIH U01AI151801-01
6 · The paper itself

Abstract

Accurate differentiation between viral and bacterial infections remains challenging in resource-limited, arbovirus-endemic settings, leading to antibiotic misuse and diagnostic uncertainty. Myxovirus resistance protein A (MxA), an interferon-induced host biomarker, may offer a pathogen-agnostic approach to improve rapid diagnosis and clinical triage. We evaluated the performance of an MxA rapid diagnostic test (RDT) using archived samples from febrile patients collected during dengue virus (DENV) and chikungunya virus (CHIKV) outbreaks in Senegal. We tested 171 blood samples from patients with acute febrile illness using an MxA RDT and RT-qPCR for DENV and CHIKV. Samples with discordant results (MxA-positive and RT-qPCR-negative) underwent metagenomic and hybrid-capture Illumina-based sequencing to detect missed infections. Sequencing data were analyzed using maximum-likelihood phylogenetics to assess viral lineage placement. The MxA RDT demonstrated moderate-to-high sensitivity (70.0%-85.1%, depending on virus) and moderate specificity (70.2%) for detecting primary arboviral infections. Among discordant samples, sequencing revealed previously missed pathogens, including DENV serotype 3 (genotype III), Parvovirus B19 (B19V), and Torque teno virus (TTV). Detection of B19V and TTV highlights the broader clinical utility of host-response biomarkers to uncover unexpected viral pathogens in high-diversity settings. MxA's longer persistence than viral RNA enables detection of recent infections missed by PCR. Combined with sequencing, this broadens the diagnostic window, improves clinical triage, and supports identification of underdiagnosed viruses. Future research should integrate MxA testing into routine clinical care and surveillance protocols to enhance outbreak responses in resource-limited regions.IMPORTANCETimely and equitable viral diagnosis is vital in outbreak-prone regions where advanced laboratories are scarce. This study shows how a simple, rapid test for the host biomarker myxovirus resistance protein A can provide real-time detection of viral infections such as dengue and chikungunya, even in remote or frontline health centers. When paired with pathogen sequencing, the test also uncovers infections that standard PCR may miss. This integrated approach demonstrates how field-deployable diagnostics can operate both during and between epidemics, strengthening outbreak preparedness, improving patient triage, and advancing laboratory equity worldwide.

Indexed as

Arbovirus InfectionsMyxovirus Resistance ProteinsChikungunya FeverChikungunya virusDengueDengue VirusHumansPhylogenyRapid Diagnostic TestsSenegalSensitivity and SpecificityMX1 protein, humanMyxovirus Resistance Proteinsarboviruseschikungunyadenguehost-response biomarkersinterferon-stimulated genesmyxovirus resistance protein Apathogen surveillancerapid diagnostic testviral sequencing

Identifiers

PMID42233650
PMCPMC13340290

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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.