Evidence map›Paper›PMID 41350402›Full record

ArticleNature ecology & evolution2026

Intracellular interactions shape antiviral resistance outcomes in poliovirus via eco-evolutionary feedback.

Alexander J Robertson, Benjamin Kerr, Alison F Feder

Abstract read
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In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Alexander J RobertsonMolecular and Cellular Biology Graduate Program, University of Washington, Seattle, WA, US.ORCID http://orcid.org/0000-0003-4607-4470
Benjamin KerrDepartment of Biology, University of Washington, Seattle, WA, US. kerrb@uw.edu.ORCID http://orcid.org/0000-0002-9909-7070
Alison F FederDepartment of Genome Sciences, University of Washington, Seattle, WA, US. affeder@uw.edu.ORCID http://orcid.org/0000-0003-2915-089X

Funding

National Science Foundation (NSF) 2142718U.S. Department of Health & Human Services | National Institutes of Health (NIH) T32-GM136534-02
6 · The paper itself

Abstract

Resistance evolution can undermine antiviral treatment. However, targeting antivirals to shared viral proteins could inhibit resistance evolution if susceptible viruses sensitize resistant ones during cellular coinfection. Pocapavir, a poliovirus capsid inhibitor, uses this sociovirological interference strategy. While susceptible viruses substantially suppress pocapavir resistance in cell culture, a pocapavir clinical trial found widespread resistance and limited clearance time improvements in treated participants. Here, to reconcile these findings, we present an intrahost eco-evolutionary model of pocapavir-treated poliovirus, which reproduces both in vitro interference and clinical resistance evolution. In the short term, high densities of susceptible viruses sensitize resistant ones, mirroring cell culture results. However, over multiple replication cycles, pocapavir's high potency collapses viral density, reducing coinfection and enabling resistance evolution, as observed clinically. Because resistance suppression relies on coinfection, enhancing susceptible virus survival could offer therapeutic advantages. Counterintuitively, we demonstrate that lessening antiviral potency can increase coinfection, limiting resistance while also maintaining low viral load. These findings suggest that antivirals relying on viral intracellular interactions must balance immediate neutralization with preserving future coinfection for sustained inhibition. Explicitly considering the eco-evolutionary feedback encompassing viral density, shared phenotypes and absolute fitness provides new insights for effective therapy design and illuminates viral evolutionary dynamics more broadly.

Indexed as

Antiviral AgentsBiological EvolutionDrug Resistance, ViralPoliovirusHumansAntiviral Agents

Identifiers

What OpenQuestion holds

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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.