Evidence map›Paper›PMID 39494203›Full record

ArticleJournal of inflammation research2024

The Mechanism by Which

Min-Dong Du, Kai-Yi He, Si-Qi Fan, Jin-Yi Li, Jin-Fu Liu, Zi-Qiang Lei, Gang Qin

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. 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
–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

4 citing papers in PubMed.

  1. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Trial
  2. Article
  3. Review
  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.

Min-Dong Du *Department of Osteoarthrosis, Xing-An Jieshou Orthopedics Hospital, Guilin, People's Republic of China.
Kai-Yi He *Department of Osteoarthrosis, The First Affiliated Hospital of Guangxi Traditional Chinese Medical University, Nanning, People's Republic of China.
Si-Qi FanDepartment of Osteoarthrosis, The First Affiliated Hospital of Guangxi Traditional Chinese Medical University, Nanning, People's Republic of China.
Jin-Yi LiDepartment of Osteoarthrosis, The First Affiliated Hospital of Guangxi Traditional Chinese Medical University, Nanning, People's Republic of China.
Jin-Fu LiuDepartment of Osteoarthrosis, The First Affiliated Hospital of Guangxi Traditional Chinese Medical University, Nanning, People's Republic of China.
Zi-Qiang LeiDepartment of Osteoarthrosis, The First Affiliated Hospital of Guangxi Traditional Chinese Medical University, Nanning, People's Republic of China.
Gang QinDepartment of Osteoarthrosis, The First Affiliated Hospital of Guangxi Traditional Chinese Medical University, Nanning, People's Republic of China.ORCID 0000-0001-5320-0856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: The bioactive ingredients of CR were screened in TCMSP database, and the potential targets of these ingredients were obtained through Swiss Target Prediction database. Genes in OA pathogenesis were collected through GeneCards, OMIM and DisGeNET databases. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed using DAVID database. STRING database and Cytoscape 3.10 software were used to construct "component-target-pathway" network, and predict the core targets affected by CR. The binding affinity between bioactive components and the core targets was evaluated by molecular docking and molecular dynamics simulation. The therapeutic activity of kaempferol on chondrocytes in inflammatory conditions was verified by in vitro experiments. Results: Fifteen CR bioactive ingredients were obtained, targeting 192 OA-related genes. A series of biological processes, cell components, molecular functions and pathways were predicted to be modulated by CR components. The core targets of CR in OA treatment were AKT serine/threonine kinase 1 (AKT1), interleukin 1 beta (IL1B), SRC proto-oncogene, non-receptor tyrosine kinase (SRC), BCL2 apoptosis regulator (BCL2), signal transducer and activator of transcription 3 (STAT3), epidermal growth factor receptor (EGFR), hypoxia-inducible factor 1 subunit alpha (HIF1A), matrix metallopeptidase 9 (MMP9), estrogen receptor 1 (ESR1) and PPARG orthologs from vertebrates (PPARG), and the main bioactive ingredients of CR showed good binding affinity with these targets. In addition, kaempferol, one of the CR bioactive components, weakens the effects of IL-1β on the viability, apoptosis and inflammation of chondrocytes. Conclusion: Theoretically, CR has great potential to ameliorate the symptoms and progression of OA, via multiple components, multiple targets, and multiple downstream pathways.

Indexed as

Cyperus rotundusmolecular dockingnetwork pharmacologyosteoarthritis

Identifiers

PMID39494203
PMCPMC11531273

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.