# A bibliometric analysis of studies related to the nuclear factor kappa B signaling pathway in knee osteoarthritis between 2004 and 2023

**Authors:** Yafeng Mo, Jiahao Chu, Tiewu Chen, Wenbing Liu, Jing Tang

PMC · DOI: 10.3389/fmed.2025.1572161 · Frontiers in Medicine · 2025-06-25

## TL;DR

This paper analyzes research trends on the NF-κB signaling pathway in knee osteoarthritis from 2004 to 2023, highlighting key areas and future directions.

## Contribution

The study provides a comprehensive bibliometric analysis of NF-κB signaling pathway research in knee osteoarthritis, identifying emerging trends and gaps.

## Key findings

- China leads in publications on NF-κB signaling in KOA, followed by the United States and Japan.
- Key research areas include TLR4/NF-κB signaling, exosomes, and inflammation-related topics like cartilage degradation.
- Future research should focus on in vivo imaging and multi-omics approaches to better understand KOA pathogenesis.

## Abstract

This study aimed to identify the principal research areas and trends in the nuclear factor kappa B (NF-κB) signaling pathway in knee osteoarthritis (KOA).

The Web of Science core collection (WoSCC) database was searched for studies related to the NF-κB signaling pathway in KOA published between 2004 and 2023. The complete records of the literature and all citations were exported from the WoSCC database to plain text file and tab-delimited file, respectively. The exported data were then analyzed. Analysis was conducted using CiteSpace (version 1.6.20) and VOSviewer (version 6.1. R6), OriginPro 2021 (version 9.8.0.200), SCImago Graphica (version 1.0.44), and the bibliometric website (http://bibliometric.com/).

A total of 752 studies were included in this analysis, and the results demonstrated an overall increasing trend in the number of published papers and citation frequency over the period 2004−2023. China leads in terms of the number of publications, with 387 publications, followed by the United States (118), and Japan (45). The institutions with the highest number of publications were China Medical University (28) and The Second Affiliated Hospital of Wenzhou Medical University (Yuying Children’s Hospital) (24). The most frequently occurring keywords were “articular cartilage,” “inflammation,” “activation,” and “expression.” Furthermore, recent keywords with high research intensity included “histopathology,” “mesenchymal stem cells,” “subchondral bone,” and “hip.” Toll-like receptor 4 (TLR4), monosodium iodoacetate (MIA), and high-performance anion-exchange chromatography with pulsed amperometric detection (HPAE-PAD) were popular research topics.

The bibliometric analysis revealed that studies of NF-κB signaling pathways in KOA have predominantly focused on the TLR4/NF-κB signaling pathway and exosomes. NF-κB plays a core regulatory role in KOA, with molecular evidence supporting its involvement in inflammation, cartilage degradation, and pain signaling. However, current research is limited by the lack of in vivo imaging techniques to visualize NF-κB activity in real-time. Future research should prioritize the development of such imaging modalities and integrate multi-omics approaches, including single-cell and spatial transcriptomics, to analyze pathway heterogeneity and identify novel therapeutic targets. This integrative approach will facilitate a deeper understanding of the pathogenesis of KOA and enable the development of more effective treatment strategies.

## Linked entities

- **Proteins:** TLR4 (toll like receptor 4)
- **Chemicals:** monosodium iodoacetate (PubChem CID 5239)

## Full-text entities

- **Genes:** TLR4 (toll like receptor 4) [NCBI Gene 7099] {aka ARMD10, CD284, TLR-4, TOLL}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}
- **Diseases:** inflammation (MESH:D007249), pain (MESH:D010146), cartilage (MESH:D002357), KOA (MESH:D020370)
- **Chemicals:** MIA (MESH:D019807)

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12237967/full.md

## References

69 references — full list in the complete paper: https://tomesphere.com/paper/PMC12237967/full.md

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Source: https://tomesphere.com/paper/PMC12237967