Evidence map›Paper›PMID 33192484›Full record

ArticleFrontiers in aging neuroscience2020

Network Pharmacology-Based and Experimental Identification of the Effects of Quercetin on Alzheimer's Disease.

Pingfang Qi, Jing Li, Shichao Gao, Yirong Yuan, Yindi Sun, Na Liu, Yuanyuan Li, Gang Wang, Ling Chen, Jing Shi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
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  8. Review
  9. Current neuropharmacology · 2024
    Article
  10. Recent Advances in Potential Health Benefits of Quercetin.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
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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

10 authors at 5 institutions in 2 countries.

Pingfang QiDepartment of Pharmacy, The People's Hospital of Yichun City, Yichun, China.
Jing LiDepartment of Pharmacy, The Affiliated Hospital of Qingdao University, Qingdao, China.
Shichao GaoDepartment of Clinical Laboratory, The People's Hospital of Yichun City, Yichun, China.
Yirong YuanDepartment of Neurosurgery, The People's Hospital of Yichun City, Yichun, China.
Yindi SunDepartment of Traditional Medical Orthopedics, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Na LiuDepartment of Traditional Medical Orthopedics, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Yuanyuan LiSchool of Pharmacy, Hangzhou Medical College, Hangzhou, China.
Gang WangDepartment of Clinical Pharmacology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ling ChenDepartment of Clinical Pharmacology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jing ShiSchool of Pharmacy, Hangzhou Medical College, Hangzhou, China.
Hangzhou First People's Hospital · CNHangzhou Medical College · CNXi'an Honghui Hospital · CNAffiliated Hospital of Qingdao University · CNUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is one of the neurodegenerative brain disorders inducing nearly half of dementia cases, and the diagnosis and treatment of AD are the primary issues clinically. However, there is a lack of effective biomarkers and drugs for AD diagnosis and therapeutics so far. In this study, bioinformatics analysis combined with an experimental verification strategy was used to identify the biomarkers and the quercetin targets for AD diagnosis and treatment. First, differentially expressed genes in the AD brain were identified by microarray data analysis. Second, quercetin, a predominant flavonoid, was used to screen the target genes. Third, the drug-disease network was determined, and the target genes of quercetin treatment were obtained in AD-related HT-22 cell-based assay. Six genes, including MAPT, PIK3R1, CASP8, DAPK1, MAPK1, and CYCS, were validated by the system pharmacology analysis in the hippocampus samples of AD patients. The results suggested that MAPT, PIK3R1, CASP8, and DAPK1 were significantly increased, but MAPK1 and CYCS were significantly decreased in HT-22 cells after Aβ1-42 treatment. Moreover, MAPK1 and CYCS were markedly increased, but MAPT, PIK3R1, CASP8, and DAPK1 were markedly decreased after quercetin treatment in these HT-22 cells. Altogether, MAPT, PIK3R1, CASP8, DAPK1, MAPK1, and CYCS are all the biomarkers for AD diagnosis and the targets of quercetin treatment, and our findings may provide valuable biomarkers for AD diagnosis and treatment.

Indexed as

AD biomarkersAD diagnosisbioinformatics analysisexperimental verificationtreatment targets

Identifiers

PMID33192484
PMCPMC7645061
OpenAlexW3093864441

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LicenceCC BY
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Registered trials

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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.