Evidence map›Paper›PMID 38312712›Full record

ArticleHeliyon2024

The molecular mechanism of "Dahuang-Shengjiang-Banxia decoction" in the treatment of diabetic kidney disease was verified based on network pharmacology and molecular docking.

Duojie Xu, Ling Yuan, Mengying Che, Wenjing Liu, Xiangyang Li, Yifan Yang, Kaili Wang, Yi Nan

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. 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

8 authors.

Duojie XuTraditional Chinese Medicine College, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Ling YuanCollege of Pharmacy, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Mengying CheTraditional Chinese Medicine College, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Wenjing LiuKey Laboratory of Ningxia Ethnomedicine Modernization, Ministry of Education, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Xiangyang LiTraditional Chinese Medicine College, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Yifan YangTraditional Chinese Medicine College, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Kaili WangTraditional Chinese Medicine College, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Yi NanTraditional Chinese Medicine College, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Explore the molecular mechanism of Dahuang-Shengjiang-Banxia Decoction (DSBD) in the treatment of diabetic kidney disease (DKD), using network pharmacology and molecular docking technology. Method: The effective ingredients and targets of the DSBD were taken from the TCMSP database, while the disease targets were obtained via GeneCards, OMIM, DrugBank, TTD, and DisGeNET. Cytoscape 3.9.1 was used to create a drug-ingredient-target network diagram. STRING databases are also used to analyze the Protein-Protein Interaction (PPI) network of intersecting targets. The core targets was obtained by the intersection of the differential genes screened from the intersection target and GEO, and the core targets was enriched by Gene ontology (GO), Kyoto gene and genome (KEGG), and Gene Set Enrichment Analysis (GSEA). CIBERSORTx was used for immunoinfiltration analysis, and then the core targets was analyzed by Nephroseq V5 and KIT for clinical correlation analysis and single-cell sequencing. Lastly, AutoDock Vina was used for molecular docking of both the core targets and the top active elements. Results: A total of 177 DSBD and 2906 DKD targets were screened. Six core targets were identified by screening, which were Conclusion: DSBD may exert its therapeutic effect on DKD through multicomponent, multipath, and multi-target analyses. It is possible that

Indexed as

Dahuang-Shengjiang-Banxia decoction (DSBD)Diabetic kidney diseaseMolecular dockingNetwork pharmacology

Identifiers

PMID38312712
PMCPMC10835317

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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.