Evidence map›Paper›PMID 39181932›Full record

ArticleScientific reports2024

Premature aging effects on COVID-19 pathogenesis: new insights from mouse models.

Wu Haoyu, Liu Meiqin, Sun Jiaoyang, Hong Guangliang, Lin Haofeng, Chen Pan, Quan Xiongzhi, Wu Kaixin, Hu Mingli, Yang Xuejie and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Wu Haoyu *Center for Cell Lineage Atlas, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China. wu_haoyu@gibh.ac.cn.
Liu Meiqin *Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Sun JiaoyangDivision of Basic Research, Guangzhou National Laboratory, Guangzhou, 510005, China.
Hong GuangliangDivision of Basic Research, Guangzhou National Laboratory, Guangzhou, 510005, China.
Lin HaofengWuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Chen PanCenter for Cell Lineage Atlas, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
Quan XiongzhiCenter for Cell Lineage Atlas, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
Wu KaixinCenter for Cell Lineage and Atlas (CCLA), Bioland Laboratory, Guangzhou, China.
Hu MingliCenter for Cell Lineage Atlas, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
Yang XuejieCenter for Cell Lineage Atlas, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
Ingo LämmermannRockfish Bio AG, Vienna, Austria.
Johannes GrillariAustrian Cluster for Tissue Regeneration, Vienna, Austria.
Shi ZhengliWuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Chen JiekaiCenter for Cell Lineage Atlas, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China. chen_jiekai@gibh.ac.cn.
Wu GuangmingDivision of Basic Research, Guangzhou National Laboratory, Guangzhou, 510005, China. wu_guangming@gzlab.ac.cn.

Funding

Austrian Science Fund FWF P 35268Basic Research Project of Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences GIBHBRP23-01Basic Research Project of Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences GIBHBRP23-02BMBWF and WTZ-OEAD grant CN 04/2021China Postdoctoral Science Foundation Funded Project 2022M723171China Postdoctoral Science Foundation Funded Project 2023M730803Guangdong Basic and Applied Basic Research Foundation 2021A1515111044Major Project of Guangzhou National Laboratory GZNL2023A02005National Key R&D Program of China 2021YFE0112900Science and Technology Planning Project of Guangdong Province, China 2023B1212060050Science and Technology Planning Project of Guangdong Province, China 22023B1212120009Science and Technology Projects in Guangzhou 2024A04J4823the Austrian Science Fund (FWF) and 'Herzfelder'sche Familienstiftung project P35268-BThe National Natural Science Foundation of China 32225012
6 · The paper itself

Abstract

Aging is identified as a significant risk factor for severe coronavirus disease-2019 (COVID-19), often resulting in profound lung damage and mortality. Yet, the biological relationship between aging, aging-related comorbidities, and COVID-19 remains incompletely understood. This study aimed to elucidate the age-related COVID19 pathogenesis using an Hutchinson-Gilford progeria syndrome (HGPS) mouse model, a premature aging disease model, with humanized ACE2 receptors. Pathological features were compared between young, aged, and HGPS hACE2 mice following SARS-CoV-2 challenge. We demonstrated that young mice display robust interferon response and antiviral activity, whereas this response is attenuated in aged mice. Viral infection in aged mice results in severe respiratory tract hemorrhage, likely contributing a higher mortality rate. In contrast, HGPS hACE2 mice exhibit milder disease manifestations characterized by minor immune cell infiltration and dysregulation of multiple metabolic processes. Comprehensive transcriptome analysis revealed both shared and unique gene expression dynamics among different mouse groups. Collectively, our studies evaluated the impact of SARS-CoV-2 infection on progeroid syndromes using a HGPS hACE2 mouse model, which holds promise as a useful tool for investigating COVID-19 pathogenesis in individuals with premature aging.

Indexed as

Aging, PrematureAngiotensin-Converting Enzyme 2COVID-19Disease Models, AnimalProgeriaSARS-CoV-2AnimalsFemaleHumansLungMiceACE2 protein, humanAngiotensin-Converting Enzyme 2AginghACE2 miceHGPSPremature agingProgeriaSARS-CoV-2

Identifiers

PMID39181932
PMCPMC11344828

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.