Evidence map›Paper›PMID 38654010›Full record

ArticleSignal transduction and targeted therapy2024

FGF7 enhances the expression of ACE2 in human islet organoids aggravating SARS-CoV-2 infection.

Hao Meng, Zhiying Liao, Yanting Ji, Dong Wang, Yang Han, Chaolin Huang, Xujuan Hu, Jingyi Chen, Hengrui Zhang, Zonghong Li and 8 more

Open access · goldAbstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

18 authors at 4 institutions in 1 country.

Hao Meng *School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, 511495, Guangdong, China.
Zhiying Liao *School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, 511495, Guangdong, China.
Yanting Ji *Guangzhou National Laboratory, Guangzhou, 510320, Guangdong, China.
Dong Wang *State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Yang HanCenter for Translational Medicine, Wuhan Jinyintan Hospital, Wuhan, 430023, Hubei, China.
Chaolin HuangCenter for Translational Medicine, Wuhan Jinyintan Hospital, Wuhan, 430023, Hubei, China.
Xujuan HuCenter for Translational Medicine, Wuhan Jinyintan Hospital, Wuhan, 430023, Hubei, China.
Jingyi ChenGuangzhou National Laboratory, Guangzhou, 510320, Guangdong, China.
Hengrui ZhangGuangzhou National Laboratory, Guangzhou, 510320, Guangdong, China.
Zonghong LiGuangzhou National Laboratory, Guangzhou, 510320, Guangdong, China.ORCID 0000-0002-5153-0007
Changliang WangGuangzhou National Laboratory, Guangzhou, 510320, Guangdong, China.ORCID 0000-0001-9561-3499
Hui SunGuangzhou National Laboratory, Guangzhou, 510320, Guangdong, China.
Jiaqi SunGuangzhou National Laboratory, Guangzhou, 510320, Guangdong, China.
Lihua ChenGuangzhou National Laboratory, Guangzhou, 510320, Guangdong, China.ORCID 0000-0003-3369-1875
Jiaxiang YinGuangzhou National Laboratory, Guangzhou, 510320, Guangdong, China.
Jincun ZhaoGuangzhou National Laboratory, Guangzhou, 510320, Guangdong, China. zhaojincun@gird.cn.ORCID 0000-0003-2515-5589
Tao XuSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou, 511495, Guangdong, China. xu_tao@gzlab.ac.cn.
Huisheng LiuSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou, 511495, Guangdong, China. liu_huisheng@gzlab.ac.cn.ORCID 0000-0001-5371-7943
Guangzhou Experimental Station · CNJinyintan Hospital · CNFirst Affiliated Hospital of Guangzhou Medical University · CNGuangzhou Chemistry (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The angiotensin-converting enzyme 2 (ACE2) is a primary cell surface viral binding receptor for SARS-CoV-2, so finding new regulatory molecules to modulate ACE2 expression levels is a promising strategy against COVID-19. In the current study, we utilized islet organoids derived from human embryonic stem cells (hESCs), animal models and COVID-19 patients to discover that fibroblast growth factor 7 (FGF7) enhances ACE2 expression within the islets, facilitating SARS-CoV-2 infection and resulting in impaired insulin secretion. Using hESC-derived islet organoids, we demonstrated that FGF7 interacts with FGF receptor 2 (FGFR2) and FGFR1 to upregulate ACE2 expression predominantly in β cells. This upregulation increases both insulin secretion and susceptibility of β cells to SARS-CoV-2 infection. Inhibiting FGFR counteracts the FGF7-induced ACE2 upregulation, subsequently reducing viral infection and replication in the islets. Furthermore, retrospective clinical data revealed that diabetic patients with severe COVID-19 symptoms exhibited elevated serum FGF7 levels compared to those with mild symptoms. Finally, animal experiments indicated that SARS-CoV-2 infection increased pancreatic FGF7 levels, resulting in a reduction of insulin concentrations in situ. Taken together, our research offers a potential regulatory strategy for ACE2 by controlling FGF7, thereby protecting islets from SARS-CoV-2 infection and preventing the progression of diabetes in the context of COVID-19.

Indexed as

Angiotensin-Converting Enzyme 2COVID-19Fibroblast Growth Factor 7Islets of LangerhansOrganoidsAnimalsHuman Embryonic Stem CellsHumansInsulin SecretionMaleMiceSARS-CoV-2Angiotensin-Converting Enzyme 2Fibroblast Growth Factor 7

Identifiers

PMID38654010
PMCPMC11039711
OpenAlexW4395038644

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.