Evidence map›Paper›PMID 32419835›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Integrated Analysis of the Mechanisms of Da-Chai-Hu Decoction in Type 2 Diabetes Mellitus by a Network Pharmacology Approach.

Beida Ren, Ling Tan, Yiliang Xiong, Wenting Ji, Jie Mu, Yuying Pei, Fafeng Cheng, Xueqian Wang, Qingguo Wang

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Nobiletin in the modified Yiqi Jianpi Decoction enhances the antitumor activity of CD8The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Molecular Targets and Mechanisms ofEvidence-based complementary and alternative medicine : eCAM · 2022
    Article
  8. Article
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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 1 institution in 1 country.

Beida RenSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0001-5029-7939
Ling TanSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0002-4748-3447
Yiliang XiongSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Wenting JiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0001-7052-4043
Jie MuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0003-3466-238X
Yuying PeiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Fafeng ChengSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0002-3409-1196
Xueqian WangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0001-9138-1491
Qingguo WangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0002-2865-903X
Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of type 2 diabetes mellitus (T2DM) has increased year by year, which not only seriously affects people's quality of life, but also imposes a heavy economic burden on the family, society, and country. Currently, the pathogenesis, diagnosis, and treatment of T2DM are still unclear. Therefore, exploration of a precise multitarget treatment strategy is urgent. Here, we attempt to screen out the active components, effective targets, and functional pathways of therapeutic drugs through network pharmacology with taking advantages of traditional Chinese medicine (TCM) formulas for multitarget holistic treatment of diseases to clarify the potential therapeutic mechanism of TCM formulas and provide a systematic and clear thought for T2DM treatment.

methodsFirst, we screened the active components of Da-Chai-Hu Decoction (DCHD) by absorption, distribution, metabolism, excretion, and toxicity (ADME/T) calculation. Second, we predicted and screened the active components of DCHD and its therapeutic targets for T2DM relying on the Traditional Chinese Medicine Systems Pharmacology Analysis Platform (TCMSP database) and Text Mining Tool (GoPubMed database), while using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) to obtain T2DM targets. Third, we constructed a network of the active component-target, target-pathway of DCHD using Cytoscape software (http://cytoscape.org/,ver.3.5.1) and then analyzed gene function, related biological processes, and signal pathways through the DAVID database.

resultsWe screened 77 active components from 1278 DCHD components and 116 effective targets from 253 ones. After matching the targets of T2DM, we obtained 38 important targets and 7 core targets were selected through further analysis. Through enrichment analysis, we found that these important targets were mainly involved in many biological processes such as oxidative stress, inflammatory reaction, and apoptosis. After analyzing the relevant pathways, the synthetic pathway for the treatment of T2DM was obtained, which provided a diagnosis-treatment idea for DCHD in the treatment of T2DM.

conclusionsThis article reveals the mechanism of DCHD in the treatment of T2DM related to inflammatory response and apoptosis through network pharmacology, which lays a foundation for further elucidation of drugs effective targets.

Identifiers

PMID32419835
PMCPMC7204321
OpenAlexW3023961580

What Socratic holds

Textmetadata
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.