Evidence mapPaperPMID 36061816Full record

ArticleJournal of healthcare engineering2022

Study on the Mechanism of Huanglian Jiedu Decoction in Treating Dyslipidemia Based on Network Pharmacology.

Zhaohui Gong, Rong Li, Shulin Chen, Hui Wu, Yinhe Cai, Junlong Li, Xinjun Zhao, Qingmin Chu, Chuanjin Luo, Lijin Qing and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 3 institutions in 1 country.

Zhaohui GongDepartment of Cardiovascular, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Rong LiDepartment of Cardiovascular, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Shulin ChenThe First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Hui WuDepartment of Cardiovascular, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Yinhe CaiDepartment of Cardiovascular, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Junlong LiDepartment of Cardiovascular, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Xinjun ZhaoDepartment of Cardiovascular, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Qingmin ChuDepartment of Cardiovascular, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Chuanjin LuoDepartment of Cardiovascular, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Lijin QingDepartment of Cardiovascular, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Nan LiFormula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China.ORCID 0000-0001-5439-3637
Wei WuDepartment of Cardiovascular, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.ORCID 0000-0002-8252-3168
First Affiliated Hospital of Guangzhou University of Chinese Medicine · CNGuangzhou University of Chinese Medicine · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to determine the active ingredients of Huanglian Jiedu decoction (HLJDD) and the targets for treating dyslipidemia through network pharmacology to facilitate further application of HJJDD in the treatment of dyslipidemia. Methods: Potential drug targets for dyslipidemia were identified with a protein-protein interaction network. Gene ontology (GO) enrichment analysis and KEGG pathway analysis were performed to elucidate the biological function and major pathways involved in the HLJDD-mediated treatment of dyslipidemia. Results: This approach revealed 22 components, 234 targets of HLJDD, and 221 targets of dyslipidemia. There were 14 components and 31 common targets between HLJDD and dyslipidemia treatment. GO enrichment analysis showed that these targets were mainly associated with the response to DNA-binding transcription factor activity, lipid localization and storage, reactive oxygen species metabolic process, and inflammatory response. The results of KEGG analysis indicated that the AGE-RAGE, NF- Conclusion: This study expounded the pharmacological actions and molecular mechanisms of HLJDD in treating dyslipidemia from a holistic perspective, which may provide a scientific basis for the clinical application of HLJDD.

Indexed as

Drugs, Chinese HerbalDyslipidemiasHumansNetwork PharmacologyProtein Interaction MapsDrugs, Chinese Herbalhuanglian-jie-du decoction

Identifiers

PMID36061816
PMCPMC9433299
OpenAlexW4293224968

What Socratic holds

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LicenceCC BY
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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 Socratic graph.