Evidence map›Paper›PMID 36118693›Full record

ArticleFrontiers in aging neuroscience2022

Quercetin targets VCAM1 to prevent diabetic cerebrovascular endothelial cell injury.

Jiebin Huang, Weiwei Lin, Yuxing Sun, Qian Wang, Shidian He, Zhihua Han, Lixing Lu, Xueran Kang, Yisheng Chen, Haoran Guo and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 22 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

17 authors at 12 institutions in 3 countries.

Jiebin HuangRuijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weiwei LinDepartment of Neurosurgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Yuxing SunDepartment of Otorhinolaryngology Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qian WangPostdoctoral Workstation, Department of Central Laboratory, The Affiliated Tai'an City Central Hospital of Qingdao University, Tai'an, China.
Shidian HeCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zhihua HanDepartment of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Lixing LuDepartment of Otorhinolaryngology Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, Shanghai, China.
Xueran KangDepartment of Otorhinolaryngology Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, Shanghai, China.
Yisheng ChenDepartment of Sports Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Haoran GuoChinese PLA Medical School, Beijing, China.
Zhiyong CuiShanghai Jiao Tong University, Shanghai, China.
Chenyu SunAMITA Health Saint Joseph Hospital Chicago, Chicago, IL, United States.
Ken GoSt. Marianna Hospital, Tokyo, Japan.
Junyi WuDepartment of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mengxuan YaoDepartment of Orthopaedic Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Mingfeng CaoDepartment of Endocrinology, The Second Affiliated Hospital of Shandong First Medical University Tai'an, Tai'an, China.
Yuzhen XuDepartment of Rehabilitation, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, China.
Shanghai Jiao Tong University · CNAffiliated Hospital of Taishan Medical University · CNFudan University · CNHarbin Medical University · CNPLA Academy of Military Science · CNSaint Joseph Hospital · USSecond Affiliated Hospital of Zhejiang University · CNShanghai First People's Hospital · CNShanghai Ninth People's Hospital · CNSt. Marianna University School of Medicine · JPTaian City Central Hospital · CNThird Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Endothelial cells play important roles in neurodegenerative diseases caused by diabetes, therefore, we aimed at investigating the mechanisms through which endothelial cells are involved in diabetes development. Methods: Single cell analysis was performed to identify the major endothelial cell subtypes in cardiovascular tissues that are involved in diabetes development. A cell-cell communication approach was then used to identify ligand-receptor interaction pairs between these cell types. Differential expression analysis between the two experimental groups [standard chow diet group and diabetogenic diet with cholesterol (DDC) group] was used to identify diabetes-related differentially expressed genes (DEGs). The upregulated genes were used to identify candidate ligands or receptors, as well as the corresponding cell types. Cell trajectory inference was performed to identify the stage of cell development and changes in expression of candidate ligands or receptors during cell development. Gene set enrichment analysis (GSEA) was conducted to investigate the biological functions of genes of purpose. Finally, molecular dynamics simulations (MDSs) were used to predict potential drugs with the ability to target the proteins of purpose. Results: Seven cell types, including five endothelial cell subtypes (EC_1, EC_2, EC_3, EC_4, and EC_EndMT), were identified from endothelial cell-enriched single cell samples from the heart and aorta of mice. Cell-cell communication analysis revealed the potential ligand-receptor interactions between these cell types while five important ligand-receptor-associated genes, including Fn1, Vcam1, Fbn1, Col4a1, and Col4a2, were established by differential expression analysis. Among them, Vcam1 is mainly expressed in EC_EndMT and is involved in interactions between EC_EndMT and other cells. Cell trajectory extrapolation analysis revealed a shift from EC_2/EC_4 to EC_EndMT and a shift from EC_EndMT to EC_3/EC_1 during the progression of diabetes. GSEA analysis revealed that upregulation of VCAM1 may have inhibitory effects on cell growth and energy metabolism. Conclusion: EC_EndMT subtypes have a complex role in neurodegenerative diseases caused by diabetes. Through mechanisms involved in cell-cell communication, Vcam1 may play an important role in dysregulation of biological functions of EC_ EndMT. Molecular docking results of the quercetin-VCAM1 complex suggest that quercetin may be an effective drug for targeting this protein.

Indexed as

brain agingdiabetes mellitusendothelial cellneurodegenerative diseasesquercetinsingle cell analysisVCAM1

Identifiers

PMID36118693
PMCPMC9475220
OpenAlexW4294307374

What Socratic 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 Socratic graph.