Evidence map›Paper›PMID 40134952›Full record

ArticleDrug design, development and therapy2025

Deciphering the Pharmacological Potential of Kouqiangjie Formula for the Treatment of Diabetic Periodontitis Based on Network Pharmacology, Machine Learning, Molecular Dynamics, and Animal Experiments.

Yeke Wu, Jiawei Li, Min Liu, Ranran Gao, Huijing Li, Yunfei Xie, Qiongying Hu, Jing Wei, Lixing Zhao, Li Li

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Yeke WuDepartment of Stomatology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, People's Republic of China.ORCID 0009-0007-7401-4340
Jiawei LiSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, People's Republic of China.
Min LiuDepartment of Gynaecology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, People's Republic of China.
Ranran GaoDepartment of Gynaecology, Henan Provincial People's Hospital, Zhengzhou, 450000, People's Republic of China.
Huijing LiCollege of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, People's Republic of China.
Yunfei XieDepartment of Nuclear Medicine, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China.
Qiongying HuDepartment of Laboratory Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, People's Republic of China.
Jing WeiCollege of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, People's Republic of China.
Lixing ZhaoState Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610072, People's Republic of China.
Li LiDepartment of Radiology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Periodontitis (PD) and type 2 diabetes mellitus (T2DM) represent interlinked global health burdens, commonly causing significant clinical complications when coincident. Therefore, managing both conditions (T2DM with periodontitis, DP) simultaneously poses considerable challenges, necessitating novel therapeutic strategies. KQJF has been clinically proven to treat DP with good efficacy, but its pharmacological substances and targets are not clear and urgently need to be clarified. Aim: To define the potential active components and targets of KQJF for the treatment of DP. Materials and Methods: The investigation commenced with the application of UPLC-Q-TOF/MS analysis to delineate the active constituents of KQJF and their associated targets in addressing DP. Additionally, the research incorporated subsequent methodologies such as machine learning, network pharmacology, molecular docking, molecular dynamics simulations, and a DP rat model was established and validated by in vivo experiments using H&E staining, immunohistochemistry, quantitative real-time PCR, and Western blot. Results: KQJF was found to contain 49 prototype compounds and 121 metabolites with potential activity against PD and T2DM. Network pharmacology revealed 66 overlapping genes between the pharmacological targets of KQJF and known targets of PD and T2DM. Further exploration through PPI network and enrichment analyses illuminated the involvement of multi-target and multi-pathway mechanisms. Molecular docking and dynamics simulations confirmed the robust interactions between key compounds within KQJF and proteins associated with the diseases. In vivo validation demonstrated that KQJF treatment ameliorated DP-associated histopathological changes and modulated the expression of crucial proteins (including ABCG2, CCND1, CDKN1B, HIF1A, and PIK3R1) in a DP rat model. Conclusion: In summary, KQJF exhibits potential therapeutic benefits for DP through a multi-component and multi-target approach, potentially offering a novel integrative treatment strategy. This study underscores the importance of integrating traditional medicine with modern molecular techniques to explore novel therapeutic avenues for complex comorbid conditions, providing a blueprint for future pharmacological explorations.

Indexed as

Diabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2Drugs, Chinese HerbalMachine LearningNetwork PharmacologyPeriodontitisAnimalsDisease Models, AnimalMaleMolecular Docking SimulationMolecular Dynamics SimulationRatsRats, Sprague-DawleyDrugs, Chinese HerbalKouqiangjie Formulamachine learningmolecular dynamicsnetwork pharmacologyT2DM with periodontitis

Identifiers

PMID40134952
PMCPMC11932940

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.