Evidence map›Paper›PMID 41631838›Full record

ArticleMicrobiology spectrum2026

MRI of Syrian hamsters reveals SARS-CoV-2 variant-specific neuroinflammation.

Yisi Tang, Xiaohui Wei, Kai Gao, Bowen Guan, Jiangning Liu, Xudong Shi

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. 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.

Yisi Tang *CAMS & PUMC, NHC Key Laboratory of Human Disease Comparative Medicine, Institute of Laboratory Animal Science, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, China.
Xiaohui Wei *CAMS & PUMC, NHC Key Laboratory of Human Disease Comparative Medicine, Institute of Laboratory Animal Science, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, China.
Kai GaoCAMS & PUMC, NHC Key Laboratory of Human Disease Comparative Medicine, Institute of Laboratory Animal Science, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, China.
Bowen GuanCAMS & PUMC, NHC Key Laboratory of Human Disease Comparative Medicine, Institute of Laboratory Animal Science, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, China.
Jiangning LiuCAMS & PUMC, NHC Key Laboratory of Human Disease Comparative Medicine, Institute of Laboratory Animal Science, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, China.ORCID 0000-0002-1264-6664
Xudong ShiCAMS & PUMC, NHC Key Laboratory of Human Disease Comparative Medicine, Institute of Laboratory Animal Science, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, China.ORCID 0000-0001-7496-3174

Funding

CAMS Innovation Fund for Medical Science 2022-I2M-1-020Natural Science Foundation of Beijing Municipality 7222312Natural Science Foundation of Beijing Municipality 7254481Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2023-PT180-01
6 · The paper itself

Abstract

SARS-CoV-2 infection causes neurological manifestations in 30%-40% of patients, with reinfection exacerbating sequelae risks. Elucidating neuroinvasion mechanisms requires optimized animal models overcoming limitations of existing systems. This study establishes the Syrian hamster as a neuroanatomically optimized model to investigate SARS-CoV-2 variant-specific neuropathogenesis. Syrian hamsters subjected to primary infection and reinfection with WH-09 and Omicron subvariants (XBB.1, BA.1, or BF.7) were investigated using multimodal MRI and histopathology. We demonstrate that SARS-CoV-2 variants exhibit strikingly differential neuroinvasive capacities following primary infection and reinfection. Notably, immune-evasive variants like XBB.1 and WH-09 induced significant, unresolved damage in olfactory-limbic regions, correlating with clinical symptoms such as hyposmia. BF.7 and BA.1 exhibited minimal neurostructural alterations in both primary and reinfection models. These variant-specific neuropathological profiles, precisely mapped via MRI-histopathology correlation, underscore the model's utility in delineating the neurological threats posed by evolving variants.IMPORTANCEThis study demonstrates that Syrian hamsters offer advantages for modeling SARS-CoV-2 neuropathogenesis. WH-09 and XBB.1's persistent olfactory and hippocampus damage, which was quantified through integrated MRI and histopathology, underscores the neurological threat posed by immune-evasive variants. Conversely, Omicron's attenuated phenotype provides a blueprint for virulence-modifying interventions. This work establishes multimodal imaging in hamsters as an effective strategy for evaluating emerging viral variants.

Indexed as

COVID-19Magnetic Resonance ImagingNeuroinflammatory DiseasesSARS-CoV-2AnimalsBrainCricetinaeDisease Models, AnimalFemaleMaleMesocricetushamsterhistopathologyneuroimagingneuroinflammationSARS-CoV-2 variants

Identifiers

PMID41631838
PMCPMC12955404

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.