Evidence map›Paper›PMID 35669282›Full record

ArticleDrug design, development and therapy2022

Network Pharmacology-Based Strategy Combined with Molecular Docking and in vitro Validation Study to Explore the Underlying Mechanism of Huo Luo Xiao Ling Dan in Treating Atherosclerosis.

Taoli Sun, Wenjuan Quan, Sha Peng, Dongmei Yang, Jiaqin Liu, Chaoping He, Yu Chen, Bo Hu, Qinhui Tuo

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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  20. Application of network pharmacology in synergistic action of Chinese herbal compounds.Theory in biosciences = Theorie in den Biowissenschaften · 2024
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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

9 authors at 2 institutions in 1 country.

Taoli SunSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, 410208, People's Republic of China.
Wenjuan QuanSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, 410208, People's Republic of China.
Sha PengSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, 410208, People's Republic of China.
Dongmei YangSchool of Medicine, Hunan University of Chinese Medicine, Changsha, 410208, People's Republic of China.
Jiaqin LiuDepartment of Pharmacy, the Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, People's Republic of China.
Chaoping HeSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, 410208, People's Republic of China.
Yu ChenSchool of Medicine, Hunan University of Chinese Medicine, Changsha, 410208, People's Republic of China.
Bo HuSchool of Medicine, Hunan University of Chinese Medicine, Changsha, 410208, People's Republic of China.
Qinhui TuoSchool of Medicine, Hunan University of Chinese Medicine, Changsha, 410208, People's Republic of China.
Hunan University of Traditional Chinese Medicine · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Huo Luo Xiao Ling Dan (HLXLD), a famous Traditional Chinese Medicine (TCM) classical formula, possesses anti-atherosclerosis (AS) activity. However, the underlying molecular mechanisms remain obscure. Aim: The network pharmacology approach, molecular docking strategy, and in vitro validation experiment were performed to explore the potential active compounds, key targets, main signaling pathways, and underlying molecular mechanisms of HLXLD in treating AS. Methods: Several public databases were used to search for active components and targets of HLXLD, as well as AS-related targets. Crucial bioactive ingredients, potential targets, and signaling pathways were acquired through bioinformatics analysis. Subsequently, the molecular docking strategy and molecular dynamics simulation were carried out to predict the affinity and stability of active compounds and key targets. In vitro cell experiment was performed to verify the findings from bioinformatics analysis. Results: A total of 108 candidate compounds and 321 predicted target genes were screened. Bioinformatics analysis suggested that quercetin, dihydrotanshinone I, pelargonidin, luteolin, guggulsterone, and β-sitosterol may be the main ingredients. STAT3, HSP90AA1, TP53, and AKT1 could be the key targets. MAPK signaling pathway might play an important role in HLXLD against AS. Molecular docking and molecular dynamics simulation results suggested that the active compounds bound well and stably to their targets. Cell experiments showed that the intracellular accumulation of lipid and increased secretory of TNF-α, IL-1β, and MCP-1 in ox-LDL treated RAW264.7 cells, which can be significantly suppressed by pretreating with dihydrotanshinone I. The up-regulation of STAT3, ERK, JNK, and p38 phosphorylation induced by ox-LDL can be inhibited by pretreating with dihydrotanshinone I. Conclusion: Our findings comprehensively demonstrated the active compounds, key targets, main signaling pathways, and underlying molecular mechanisms of HLXLD in treating AS. These findings would provide a scientific basis for the study of the complex mechanisms underlying disease and drug action.

Indexed as

AtherosclerosisDrugs, Chinese HerbalFuransHumansMedicine, Chinese TraditionalMolecular Docking SimulationNetwork PharmacologyPhenanthrenesQuinonesdihydrotanshinone IDrugs, Chinese HerbalFuranshuo luo xiao ling danPhenanthrenesQuinonesatherosclerosisdihydrotanshinone IHuo Luo Xiao Ling DanMAPK signaling pathwaymolecular dockingmolecular dynamics simulationnetwork pharmacologySTAT3

Identifiers

PMID35669282
PMCPMC9166517
OpenAlexW4281679336

What OpenQuestion holds

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LicenceCC BY-NC
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.