Evidence map›Paper›PMID 38464966›Full record

SynthesisFrontiers in endocrinology2024

Discussion on the mechanism of Danggui Sini decoction in treating diabetic foot based on network pharmacology and molecular docking and verification of the curative effect by meta-analysis.

Xiyu Ni, Huhe Bao, Jiaxing Guo, Deer Li, Lihang Wang, Wanyin Zhang, Guanwen Sun

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. 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 2 institutions in 1 country.

Xiyu Ni *Graduate School, Inner Mongolia Medical University, Hohhot, China.
Huhe Bao *Department of Traumatology and Orthopedics, Inner Mongolia People's Hospital, Hohhot, China.
Jiaxing Guo *Department of Joint Surgery, The Second Affiliated Hospital, Inner Mongolia Medical University, Hohhot, China.
Deer Li *Traumatic Orthopedics, Ordos Central Hospital, Ordos, China.
Lihang Wang *Department of Traumatology and Orthopedics, Inner Mongolia People's Hospital, Hohhot, China.
Wanyin Zhang *Graduate School, Inner Mongolia Medical University, Hohhot, China.
Guanwen SunDepartment of Traumatology and Orthopedics, Inner Mongolia People's Hospital, Hohhot, China.
Inner Mongolia People's Hospital · CNSecond Affiliated Hospital of Inner Mongolia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The main active components and mechanism of Danggui Sini decoction (DSD) in treating diabetic foot (DF) were studied and verified by network pharmacology and molecular docking. Evidence-based medicine was used to prove its efficacy. Methods: The TCMSP systematic pharmacology platform screened out DSD's practical components and targets-screening disease targets in GeneCards database, using Cytoscape 3.7.2 to draw DSD-active ingredient-target network diagram, and drawing the protein interaction network diagram through STRING database. The Metascape platform was used to analyze the GO function enrichment and KEGG signal pathway. The molecular docking experiment was carried out by using Auto Dock vina 4.2. The related literature on DSD in treating DF in China Zhiwang, Wanfang, Weipu, and China Biomedical Literature Database was searched. The literature was screened, data was extracted, and quality was evaluated according to the inclusion and exclusion criteria. Then, a meta-analysis was performed using RevMan 5.3 software. Results: A total of 256 targets of all effective components of DSD were obtained. Among 1,272 disease targets, there are 113 common targets. The GO analysis received 6,179 entries, and the KEGG pathway enrichment analysis found 251 related pathways. The molecular docking results of the main targets of diabetic foot and the active substances of DSD all showed a high docking activity. The meta-analysis included six literature, all of which were randomized controlled experiments. The quality grade of the literature was C, and the results showed that the total effective rate of clinical efficacy in the experimental group was significantly higher than that in the control group. Conclusions: DSD may treat DF by participating in biological processes such as cell proliferation regulation, inflammatory reaction, oxidative stress reaction, and promotion of angiogenesis. DSD treats DF through AKT1, TP53, IL6, TNF, VEGFA, and other targets. DSD plays a role in treating DF mainly through the AGE-RAGE signaling pathway and PI3K-AKT signaling pathway. The molecular docking results of AKT1, TP53, IL-6, TNF, and VEGFA with the active substances of DSD show that they all have a high docking activity; among them, VEGFA has a higher docking activity. Compared with conventional treatment, DSD has a high effective rate, short wound healing time, large wound healing area, and high ABI index.

Indexed as

Diabetes MellitusDiabetic FootDrugs, Chinese HerbalHumansMolecular Docking SimulationNetwork PharmacologyPhosphatidylinositol 3-KinasesDrugs, Chinese HerbalPhosphatidylinositol 3-Kinasessini tangDanggui Sini decoctiondiabetic footmechanism of actionmolecular dockingnetwork pharmacologytarget

Identifiers

PMID38464966
PMCPMC10921091
OpenAlexW4392106645

What OpenQuestion holds

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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.