Evidence map›Paper›PMID 36484971›Full record

ArticleMetabolic brain disease2023

Exploring the potential anti-Alzheimer disease mechanisms of Alpiniae Oxyphyliae Fructus by network pharmacology study and molecular docking.

Rong-Rong Zhen, Yan-Jie Qu, Li-Min Zhang, Chao Gu, Min-Rui Ding, Lei Chen, Xiao Peng, Bing Hu, Hong-Mei An

Abstract read
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In one paragraph

Article in Metabolic brain disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
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

9 authors at 1 institution in 1 country.

Rong-Rong ZhenDepartment of Neurology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 200032, Shanghai, People's Republic of China.ORCID 0000-0002-5373-7765
Yan-Jie QuDepartment of Neurology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 200032, Shanghai, People's Republic of China.ORCID 0000-0002-6633-2812
Li-Min ZhangDepartment of Neurology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 200032, Shanghai, People's Republic of China.ORCID 0000-0002-0916-1519
Chao GuDepartment of Neurology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 200032, Shanghai, People's Republic of China.ORCID 0000-0002-2119-3425
Min-Rui DingDepartment of Neurology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 200032, Shanghai, People's Republic of China.ORCID 0000-0002-1508-4249
Lei ChenInstitute of Traditional Chinese Medicine in Oncology, Department of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 200032, Shanghai, People's Republic of China.ORCID 0000-0002-4091-6078
Xiao PengInstitute of Traditional Chinese Medicine in Oncology, Department of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 200032, Shanghai, People's Republic of China.ORCID 0000-0002-2382-0058
Bing HuInstitute of Traditional Chinese Medicine in Oncology, Department of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 200032, Shanghai, People's Republic of China. beearhu@shutcm.edu.cn.ORCID 0000-0002-5809-9475
Hong-Mei AnDepartment of Science & Technology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 200032, Shanghai, People's Republic of China. lhsoatp@163.com.ORCID 0000-0001-6656-9409
Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alpiniae Oxyphyliae Fructus (AOF) (yizhi) is a frequently medicated Chinese herb for Alzheimer disease (AD) treatment. The present study investigated the components and potential mechanisms of AOF through network pharmacology analysis and molecular docking. The results showed that AOF contains at least 20 active ingredients and involves 184 target genes. A total of 301 AD-related genes were obtained from the DisGeNET, GeneCards, GEO, OMIM, and Alzheimer Disease: Genes databases. A total of 41 key targets were identified from the topology analysis of the AOF-AD target network. These key targets are involved in 105 signal pathways, such as the PI3K-Akt, HIF-1, and MAPK pathways, and can regulate gene transcription, cell death, cell proliferation, drug response, and protein phosphorylation. AOF's active ingredients, Chrysin, Isocyperol, Izalpinin, Linolenic acid, CHEMBL489541, Oxyphyllenone A, Oxyphyllenone B, and Oxyphyllol C, show high affinity to targets, including PPARG, ESR1, and AKT1. These findings provide a new basis for AOF application and anti-AD study.

Indexed as

Alzheimer DiseaseNetwork PharmacologyCell DeathHumansMolecular Docking SimulationPhosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesAlpiniae Oxyphyliae FructusAlzheimer diseaseChinese herbNetwork pharmacology

Identifiers

PMID36484971
OpenAlexW4310962980

What OpenQuestion holds

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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.