Evidence map›Paper›PMID 42643508›Full record

ArticleFrontiers in immunology2026

Comparative systemic pathogenicity and host tropism of ancestral SARS-CoV-2, Delta, and Omicron EG.5 variants in K18-hACE2 mice.

Xiaofang Peng, Qi Zhang, PingPing Zhou, Li Tang, Chumin Liang, Huifang Lin, Zhe Liu, Baisheng Li, Jiufeng Sun, Runyu Yuan

Abstract readComparative Study
In one paragraph

Article in Frontiers in immunology, 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

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

10 authors.

Xiaofang Peng *Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Qi Zhang *Key Laboratory of Zoonosis Prevention and Control of Guangdong, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
PingPing Zhou *Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Li TangGuangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Chumin LiangGuangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Huifang LinGuangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Zhe LiuGuangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Baisheng LiGuangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Jiufeng SunGuangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Runyu YuanGuangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: SARS-CoV-2 undergoes persistent genomic evolution, yet prevalent circulating variants tend to evolve toward reduced pathogenicity. However, direct comparative pathogenesis data involving contemporary, immune-evasive strains-such as the Omicron EG.5 subvariant (a descendant of the globally dominant XBB lineage)-relative to ancestral strains remain scarce. Methods: To clarify the evolutionary trajectory of viral virulence, we conducted a systematic, head-to-head comparison of the in vivo pathogenicity of three pivotal strains: the ancestral Wild-type (Wuhan lineage), Delta, and the currently circulating Omicron EG.5. We utilized the highly susceptible K18-hACE2 transgenic mouse model to assess disease progression, viral burden, and histopathology. Results: Despite uniformly progressing to lethality in this model, the strains exhibited a distinct gradient in the kinetics and severity of disease. The Wild-type strain demonstrated the most rapid disease progression, highest viral loads across multiple organs (notably liver, brain, lung, and intestine), and most severe histopathological damage. The Delta variant showed an intermediate phenotype. Strikingly, the Omicron EG.5 variant displayed significantly attenuated pathogenicity, characterized by markedly delayed mortality, milder clinical presentation, and reduced tissue viral burden, yet it retained a capacity for multi-organ infection. Discussion: Our study provides direct experimental evidence for a pronounced attenuation in pathogenicity along the evolutionary trajectory from Wild-type through Delta to Omicron EG.5. These findings offer crucial insights for risk assessment of emerging variants and underscore the need for ongoing surveillance.

Indexed as

Angiotensin-Converting Enzyme 2COVID-19SARS-CoV-2Viral TropismAnimalsDisease Models, AnimalFemaleHumansLungMiceMice, TransgenicViral LoadVirulenceAngiotensin-Converting Enzyme 2K18-hACE 2 transgenic miceneurotropismOmicronpathogenicitySARS-CoV-2viral variants

Identifiers

PMID42643508
PMCPMC13503343

What Socratic holds

Textmetadata
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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 Socratic graph.