Evidence map›Paper›PMID 32454870›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Network Pharmacology-Based Prediction of Active Ingredients and Potential Targets of ShengDiHuang Decoction for Treatment of Dysfunctional Uterine Bleeding.

Hui Yang, Yu Fan, Jiangxue Cheng, Junbo Zou, Xiaofei Zhang, Yajun Shi, Dongyan Guo

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Rehmannioside D mitigates disease progression in rats with experimental-induced diminished ovarian reserveThe Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2023
    Article
  3. Article
  4. 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.

Hui YangShaanxi Key Laboratory of Traditional Chinese Medicine Foundation and New Drug Research, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang 712046, China.
Yu FanSchool of Basic Medical Science, Shaanxi University of Chinese Medicine, Xianyang 712046, China.
Jiangxue ChengShaanxi Key Laboratory of Traditional Chinese Medicine Foundation and New Drug Research, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang 712046, China.
Junbo ZouShaanxi Key Laboratory of Traditional Chinese Medicine Foundation and New Drug Research, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang 712046, China.ORCID https://orcid.org/0000-0002-1651-4722
Xiaofei ZhangShaanxi Key Laboratory of Traditional Chinese Medicine Foundation and New Drug Research, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang 712046, China.
Yajun ShiShaanxi Key Laboratory of Traditional Chinese Medicine Foundation and New Drug Research, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang 712046, China.ORCID https://orcid.org/0000-0003-1178-5504
Dongyan GuoShaanxi Key Laboratory of Traditional Chinese Medicine Foundation and New Drug Research, College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang 712046, China.ORCID https://orcid.org/0000-0002-6999-2744
Shaanxi University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the potential active ingredients and related crucial targets of the ShengDiHuang Decoction (SDHD) formula in the treatment of dysfunctional uterine bleeding (DUB) by using network pharmacology and verification experiment.

methodsIn this study, we determined the potential active ingredients from the traditional SDHD formula and their targets with the network pharmacology method. The network of "compound-disease-target" was constructed by the software of Cytoscape. Software of DAVID was used to enrich pathways for these 87 targets of SDHD. Further, the therapeutic effect of SDHD on DUB was verified by observing the morphological changes of the uterus and ovaries and determining the expression of ERS2 and progesterone in the plasma.

results52 compounds of

conclusionOverall, this study revealed potential mechanisms of multitarget and multicomponent about SDHD in the treatment of DUB and provided a scientific foundation for further studying the mechanism.

Identifiers

PMID32454870
PMCPMC7240676
OpenAlexW3025434041

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.