Evidence map›Paper›PMID 40859351›Full record

ArticleBMC biology2025

Understanding the traits underlying vaccine-driven virulence evolution in malaria parasites.

Youngseo Jeong, Tsukushi Kamiya, Nicole Mideo

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In one paragraph

Article in BMC biology, 2025. 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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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

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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

3 authors.

Youngseo JeongDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Canada. youngseoclara.jeong@mail.utoronto.ca.
Tsukushi KamiyaCenter for Interdisciplinary Research in Biology (CIRB), College de France, Paris, France.
Nicole MideoDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Canada.

Funding

Emerging & Pandemic Infections Consortium, University of Toronto, Canada Doctoral AwardNatural Sciences and Engineering Research Council of Canada Discovery Grant
6 · The paper itself

Abstract

backgroundVaccine-driven evolution can erode the beneficial effects of vaccination and is a concern, especially for newly introduced vaccines. While obvious candidates for vaccine-driven evolution are the precise parasite antigens that are the targets of vaccine-induced immunity, traits underlying parasite virulence may also evolve. Previous experimental work in rodent malaria demonstrated that evolution in vaccinated hosts resulted in increased parasite virulence, as measured by anemia (minimum red blood cell density). However, no genetic changes were detected at vaccine target sites, leaving the underlying traits or their interactions with host responses unclear. Using a hierarchical Bayesian framework, we fitted a mathematical model of within-host malaria infection dynamics to experimental time series data from infections in mice inoculated with parasites that had evolved in either vaccinated mice or sham-vaccinated (control) mice. We compared parameter estimates across treatments to understand which parasite traits could plausibly explain differences in infection dynamics and virulence.

resultsVaccine-evolved parasites elicited lower targeted immune killing and anemia-driven erythropoiesis, differences that were observed at the level of treatment means and when accounting for individual-level variation. We validated our model by calculating early-infection parasite multiplication rates, finding no differences across treatments (either experimental or simulated)-differences that would be expected if the vaccine target antigen (AMA-1) had evolved.

conclusionsOur results emphasize the complexity of virulence, showing that parasite modulation of host responses can influence disease severity. We also highlight the important role for evolution of parasite traits beyond target antigens in response to vaccination.

Indexed as

Biological EvolutionMalariaMalaria VaccinesModels, GeneticPlasmodium chabaudiAnimalsHost-Parasite InteractionsMiceVirulenceMalaria VaccinesAMA-1AnemiaErythropoiesisImmune evasionMathematical modelingPlasmodium chabaudiWithin-host dynamics

Identifiers

PMID40859351
PMCPMC12382291

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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.