Evidence map›Paper›PMID 41012653›Full record

ArticleViruses2025

Comprehensive Analysis of the Impact of Weight Loss Thresholds on Mouse Models of Fatal Viral Infection.

Devin Kenney, Mao Matsuo, Giulia Unali, Alan Wacquiez, Mohsan Saeed, Florian Douam

Abstract read
In one paragraph

Article in Viruses, 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

6 authors.

Devin KenneyDepartment of Virology, Immunology and Microbiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.
Mao MatsuoDepartment of Virology, Immunology and Microbiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.
Giulia UnaliDepartment of Virology, Immunology and Microbiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.ORCID 0000-0002-5683-6945
Alan WacquiezNational Emerging Infectious Diseases Laboratories, Boston University, Boston, MA 02118, USA.
Mohsan SaeedNational Emerging Infectious Diseases Laboratories, Boston University, Boston, MA 02118, USA.ORCID 0000-0001-8505-7054
Florian DouamDepartment of Virology, Immunology and Microbiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.ORCID 0000-0002-4791-6767

Funding

RESEARCH TRAINING IN IMMUNOLOGYT32AI007309 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GUMMULURU, SURYARAM · 1988 to 2024
$7.4M
Boston University NANIAID NIH HHS T32 AI007309
6 · The paper itself

Abstract

Preclinical studies in virological research are pivotal to comprehend mechanisms of viral virulence and pathogenesis and evaluate antiviral therapies or vaccines. Mouse models, through access to various genetic strains and amenable reagents, along with their ease of implementation and cost-effectiveness, remain the gold standard for establishing go/no-go thresholds before advancing to non-human primate or clinical studies. In preclinical mouse studies, standardized weight loss thresholds (WLTs)-which correspond to an established percentage of weight change at which animals are humanely euthanized-are a routine metric to quantitatively evaluate the lethality of a viral pathogen and the effectiveness of antiviral countermeasures in preventing fatal viral disease. While it is recognized that WLTs can significantly impact the assessment of viral virulence, they are often established to meet existing ethical or methodological requirements, rather than being based on a specific scientific rationale. Here, we examine how various experimental variables-including mouse and viral strains and the sex ratio within a mouse cohort-influence the ability of a WLT to support the generation of robust mouse models of fatal viral infection. Using various mouse strains and viral pathogens, we report that variations in experimental conditions in mouse preclinical studies can significantly compromise the performance of a non-adjusted WLT to yield an accurate estimate of viral virulence. Our findings advocate for a robust adjustment of WLT to each experimental framework and associated variables to establish mouse models of fatal viral infection that can generate high-resolution data acquisition while upholding ethical standards. Overall, our study provides methodological insights to enhance the unbiased acquisition and benchmarking of viral virulence and antiviral efficacy data in mouse models.

Indexed as

Virus DiseasesWeight LossAnimalsCell LineDisease Models, AnimalFemaleMaleMicePolymorphism, GeneticSARS-CoV-2Sex CharacteristicsSurvival RateBALB/cC57BL/6euthanasia criteriafatal viral infectioninfluenza A virusK18-hACE2mouse models of viral infectionPowassan virusSARS-CoV-2weight loss

Identifiers

PMID41012653
PMCPMC12474137

What OpenQuestion holds

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LicenceCC BY
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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.