Evidence map›Paper›PMID 41194141›Full record

ArticleJournal of biomedical science2025

Human coronavirus OC43 infection in human cerebral organoids: novel insights on pathogenesis and potential therapeutic interventions.

Juntong Liu, Yao Deng, Weibang Huo, Jingdong Song, Chengcheng Zhai, Lan Wei, Changcheng Wu, Gaoqian Zhang, Baoying Huang, Wenling Wang and 3 more

Abstract read
In one paragraph

Article in Journal of biomedical science, 2025. 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

13 authors.

Juntong LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China.
Yao DengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China.
Weibang HuoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China.
Jingdong SongNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China.
Chengcheng ZhaiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China.
Lan WeiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China.
Changcheng WuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China.
Gaoqian ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China.
Baoying HuangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China.
Wenling WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China.
Roujian LuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China.
Na ZhuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China. zhuna@ivdc.chinacdc.cn.
Wenjie TanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100052, China. tanwj@ivdc.chinacdc.cn.

Funding

National Key Research and Development Program of China 2022YFC2303401National Key Research and Development Program of China 2022YFC2304100National Key Research and Development Program of China 2022YFC2604101Natural Science Foundation of Beijing No.M23014
6 · The paper itself

Abstract

backgroundSince the COVID-19 pandemic, there has been a documented rise in the incidence of neurological manifestations among individuals complicated with encephalitis or myelitis. The spectrum of neurological symptoms associated with HCoVs infections is expanding. However, the infection characteristics and pathogenesis of seasonal HCoVs to the central nervous system remain obscure. No pharmacological agents have demonstrated the capacity to specifically and efficaciously mitigate the neurological symptoms induced by HCoVs infections to date.

methodsWe developed human cerebral organoids (HCOs) derived from human induced pluripotent stem cells and established a blood-brain barrier (BBB) HCOs co-culture model. We subjected these models to seasonal human coronavirus (HCoV) infections to investigate the viral characteristics within the central nervous system (CNS). Utilizing RNA sequencing, we conducted a preliminary exploration of the mechanisms underlying virus-induced inflammatory responses in the CNS. Furthermore, we assessed the efficacy of antiviral and anti-inflammatory drugs using the HCO model.

resultsOur results showed that among seasonal coronaviruses, HCoV-OC43 replicates efficiently within the organoids, primarily targeting neurons and astrocytes, and disrupts the barrier function of the BBB. RNA sequencing analysis revealed that HCoV-OC43 infection triggers an inflammatory response through the TNF and NF-κB signaling pathways, leading to cell death, impaired neuronal function, and disrupted interneuron signaling. Interestingly, Bardoxolone methyl (CDDO-Me) demonstrated antiviral effects comparable to remdesivir, reducing both inflammation and cell death.

conclusionsConclusively, HCOs infected with HCoV-OC43 offer valuable insights into the pathogenesis of HCoVs in central nervous system (CNS), and might serve as a tool for developing novel therapeutic strategies for HCoVs infections, including COVID-19, especially on exploring treatment candidates.

Indexed as

BrainCoronavirus OC43, HumanOrganoidsAntiviral AgentsBlood-Brain BarrierCOVID-19HumansInduced Pluripotent Stem CellsAntiviral AgentsHuman cerebral organoidsHuman coronavirusInflammationPathogenesisTherapy

Identifiers

PMID41194141
PMCPMC12590701

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.