Evidence map›Paper›PMID 35722157›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Molecular Mechanism of Crataegi Folium and Alisma Rhizoma in the Treatment of Dyslipidemia Based on Network Pharmacology and Molecular Docking.

Hui Wang, Hua Wang, Jin Zhang, Jiahui Luo, Caidong Peng, Xiaoyun Tong, Xudong Chen

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 9 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

7 authors at 2 institutions in 1 country.

Hui WangThe First Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming 650021, Yunnan, China.ORCID https://orcid.org/0000-0003-2522-6850
Hua WangThe First Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming 650021, Yunnan, China.ORCID https://orcid.org/0000-0003-4897-080X
Jin ZhangThe First Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming 650021, Yunnan, China.ORCID https://orcid.org/0000-0001-5071-3779
Jiahui LuoThe First Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming 650021, Yunnan, China.ORCID https://orcid.org/0000-0002-8935-9057
Caidong PengThe First Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming 650021, Yunnan, China.ORCID https://orcid.org/0000-0003-0154-9735
Xiaoyun TongThe First Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming 650021, Yunnan, China.ORCID https://orcid.org/0000-0002-8722-4706
Xudong ChenDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.ORCID https://orcid.org/0000-0002-8777-3895
Yunnan University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dyslipidemia has become a critical global issue for public health, with elevating prevalence and morbidity closely related to many cardiovascular diseases (CVD) with high incidence rates. Crataegi Folium (known as Shanzhaye in China, SZ, the leaves of Methods: Active compounds, targets of the SZHP, and targets for dyslipidemia were screened based on the public database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were performed on the database for annotation, visualization, and integrated discovery (DAVID 6.8). The compound-target-disease-pathway network was visualized using the Cytoscape software, and SYBYL was used for molecular docking. Results: Twelve active compounds in the SZHP were screened out, which were closely connected to 186 dyslipidemia-related targets. The network analysis revealed that sitosterol, stigmasterol, isorhamnetin, kaempferol, and quercetin might be candidate agents and CCND1, CASP3, HIF1A, and ESR1 genes were potential drug targets. GO analysis revealed 856 biological processes (BP), 139 molecular functions (MF), and 89 cellular components (CC). The KEGG pathway enrichment analysis indicated that the lipid level and atherosclerosis might influence the treatment of dyslipidemia. Molecular docking showed that quercetin bound well to CCND1, HIF1A, MYC, AKT1, and EGFR genes. These findings were in accord with the prediction obtained through the network pharmacology approach. Conclusions: This study revealed the primary pharmacological effects and relevant mechanisms of the SZHP in treating dyslipidemia. Our findings may facilitate the development of the SZHP or its active compounds as an alternative therapy for dyslipidemia. Still, more pharmacological experiments are needed for verification.

Identifiers

PMID35722157
PMCPMC9200514
OpenAlexW4282033377

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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.