Evidence map›Paper›PMID 34434246›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2021

A Network Pharmacology Approach for Exploring the Mechanisms of

Cong Wang, Hao Chen, Shi-Tang Ma, Bin-Bin Mao, Yu Chen, Hao-Nan Xu, Hao Yu

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Exploring the mechanism ofActa biochimica et biophysica Sinica · 2024
    Article
  4. Nutrients · 2024
    Review
  5. Article
  6. 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

7 authors at 1 institution in 1 country.

Cong WangCollege of Life and Health Sciences, Anhui Science and Technology University, Fengyang 233100, China.ORCID https://orcid.org/0000-0002-8867-9243
Hao ChenCollege of Life and Health Sciences, Anhui Science and Technology University, Fengyang 233100, China.ORCID https://orcid.org/0000-0001-5246-4868
Shi-Tang MaCollege of Life and Health Sciences, Anhui Science and Technology University, Fengyang 233100, China.
Bin-Bin MaoCollege of Life and Health Sciences, Anhui Science and Technology University, Fengyang 233100, China.ORCID https://orcid.org/0000-0003-2980-6414
Yu ChenCollege of Life and Health Sciences, Anhui Science and Technology University, Fengyang 233100, China.ORCID https://orcid.org/0000-0002-3894-0247
Hao-Nan XuCollege of Life and Health Sciences, Anhui Science and Technology University, Fengyang 233100, China.ORCID https://orcid.org/0000-0002-5070-5290
Hao YuCollege of Life and Health Sciences, Anhui Science and Technology University, Fengyang 233100, China.ORCID https://orcid.org/0000-0002-6038-1883
Anhui University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsPNS were identified from the Traditional Chinese Medicine System Pharmacology (TCMSP) database, and their possible targets were predicted using the PharmMapper database. IS-related targets were identified from the GeneCards database, OMIM database, and DisGeNET database. A herb-compound-target-disease network was constructed using Cytoscape, and protein-protein interaction (PPI) networks were established with STRING. GO enrichment and KEGG pathway analysis were performed using DAVID. The binding of the compounds and key targets was validated by molecular docking studies using AutoDock Vina. The neuroprotective effect of TFCJ was substantiated in terms of oxidative stress (superoxide dismutase, glutathione peroxidase, catalase, and malondialdehyde) and the levels of IGF1/PI3K/Akt pathway proteins.

resultsA total of 375 PNS targets and 5111 IS-related targets were identified. Among these targets, 241 were common to PNS, and IS network analysis showed that MAPK1, AKT1, PIK3R1, SRC, MAPK8, EGFR, IGF1, HRAS, RHOA, and HSP90AA1 are key targets of PNS against IS. Furthermore, GO and KEGG enrichment analysis indicated that PNS probably exert therapeutic effects against IS by regulating many pathways, such as the Ras, oestrogen, FoxO, prolactin, Rap1, PI3K-Akt, insulin, PPAR, and thyroid hormone signalling pathways. Molecular docking studies further corroborated the experimental results.The network pharmacology results were further verified by molecular docking and in vivo experiments.

conclusionsThe ameliorative effects of PNS against IS were predicted to be associated with the regulation of the IGF1-PI3K-Akt signalling pathway. Ginsenoside Re and ginsenoside Rb1 may play an important role in the treatment of IS.

Identifiers

PMID34434246
PMCPMC8382556
OpenAlexW3194630990

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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.