Evidence map›Paper›PMID 40175831›Full record

ArticleClinical oral investigations2025

Mechanism of Lycium barbarum in treating periodontitis based on network pharmacology, molecular docking, and experimental validation.

Lin-Sha Ma, Xue-Ting Jia, Fa-Quan Hu, Yu-Jiao Zheng, Xiao-Feng Huang, Xiaohui Rausch-Fan, Xiao-Chuan Fan

Abstract read
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In one paragraph

Article in Clinical oral investigations, 2025. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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.

Lin-Sha MaDepartment of Stomatology, Beijing Friendship Hospital, Capital Medical University, No.95 Yong'an Road, Xicheng District, Beijing, 100050, PR China.
Xue-Ting JiaDepartment of Stomatology, Beijing Friendship Hospital, Capital Medical University, No.95 Yong'an Road, Xicheng District, Beijing, 100050, PR China.
Fa-Quan HuCollege of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, 230012, PR China.
Yu-Jiao ZhengCollege of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, 230012, PR China.
Xiao-Feng HuangDepartment of Stomatology, Beijing Friendship Hospital, Capital Medical University, No.95 Yong'an Road, Xicheng District, Beijing, 100050, PR China.
Xiaohui Rausch-FanClinical Research Center, Division of Conservative Dentistry and Periodontology, University Clinic of Dentistry, Medical University of Vienna, Sensengasse 2A, 1090, Vienna, Austria. xiaohui.rausch-fan@meduniwien.ac.at.
Xiao-Chuan FanDepartment of Stomatology, Beijing Friendship Hospital, Capital Medical University, No.95 Yong'an Road, Xicheng District, Beijing, 100050, PR China. foxtail_09@hotmail.com.

Funding

National Natural Science Foundation of China 82301015
6 · The paper itself

Abstract

objectiveTo investigate the active components of Lycium barbarum (L. barbarum) and their therapeutic role in periodontitis through network pharmacology, molecular docking, and experimental validation. MATERIALS AND

methodsThe active ingredients and targets of L. barbarum and the targets of periodontitis were retrieved from multiple pharmaceutical databases. An L. barbarum-active ingredients-targets network diagram was constructed by Cytoscape software. A protein interaction network was constructed using the STRING platform. Hub targets were enriched using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Key periodontitis targets were analyzed using molecular docking and molecular dynamics. Raw264.7 cells were stimulated with lipopolysaccharide (LPS) and treated with L. barbarum extract at concentrations of 1, 5, and 10 μg/mL. Anti-inflammatory effects were evaluated by measuring IL-1β, IL-6, and TNF-α levels using enzyme-linked immunosorbent assay. Osteoclast differentiation was induced for 5 d, MMP9, RANK, and TRAP mRNA expression were quantified by real-time polymerase chain reaction (RT-PCR), and osteoclast formation was confirmed via tartrate-resistant acid phosphatase (TRAP) staining.

resultsWe identified 45 active ingredients and 205 potential targets of L. barbarum alongside 3,520 periodontitis targets. A total of 132 L. barbarum-periodontitis co-targets were identified. The hub genes of L. barbarum regulate periodontitis and have strong binding activity with active ingredients. The involvement of inflammatory factors, such as IL-1β and IL-6, and signaling pathways, including TNF, IL-17, and HIF-1, was verified. L. barbarum extract significantly reduced IL-1β, IL-6, and TNF-α production in LPS-stimulated Raw264.7 cells. Additionally, L. barbarum extract downregulated MMP9, RANK, and TRAP expression and inhibited osteoclast differentiation, as evidenced by the reduced number of TRAP-positive multinucleated cells.

conclusionsThe bioactive constituents of L. barbarum were verified to exert anti-inflammatory and osteoclastogenesis-inhibitory effects by targeting inflammatory mediators, oxidative stress, and TNF, IL-17, and HIF-1 signaling pathways, demonstrating potential therapeutic benefits for periodontitis. CLINICAL RELEVANCE: L. barbarum. may serve as a natural therapeutic agent for periodontitis by modulating immune responses and targeting key inflammatory mediators and signaling pathways.

Indexed as

Anti-Inflammatory AgentsDrugs, Chinese HerbalLyciumMolecular Docking SimulationNetwork PharmacologyPeriodontitisPlant ExtractsAnimalsEnzyme-Linked Immunosorbent AssayMiceRAW 264.7 CellsReal-Time Polymerase Chain ReactionAnti-Inflammatory AgentsDrugs, Chinese HerbalPlant ExtractsExperimental validationLycium barbarumMolecular dockingNetwork pharmacologyPeriodontitis

Identifiers

PMID40175831

What Socratic holds

Textmetadata
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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.