# Hepatocyte growth factor as a driver of synovial inflammation and therapeutic resistance in rheumatoid arthritis

**Authors:** Quang Minh Dang, Ryu Watanabe, Takeshi Iwasaki, Ryuhei Ishihara, Keiichiro Kadoba, Koichi Murata, Masao Tanaka, Hiromu Ito, Thanh Duc Tran, Sang Quang Tran Nguyen, Khanh Van Nguyen, Hongxin Sun, Masao Katsushima, Hui Zhang, Yutaro Yamada, Kenji Mamoto, Tadashi Okano, Tran Trung Dung, Le Thi Thanh Thuy, Motomu Hashimoto

PMC · DOI: 10.3389/fimmu.2026.1718591 · Frontiers in Immunology · 2026-01-30

## TL;DR

This study shows that high levels of HGF in rheumatoid arthritis patients drive inflammation and treatment resistance, suggesting that targeting HGF could be a new treatment strategy.

## Contribution

The study identifies HGF's role in synovial inflammation and therapeutic resistance, and demonstrates the potential of targeting the HGF-c-Met axis in RA.

## Key findings

- HGF levels in RA patients are elevated and correlate with disease activity.
- HGF stimulates synovial fibroblasts to produce inflammatory markers like IL-6, creating a feedback loop.
- Inhibiting the HGF-c-Met pathway with savolitinib reduces arthritis and inflammation in mice.

## Abstract

Previous studies have demonstrated that hepatocyte growth factor (HGF) is implicated in treatment resistance in rheumatoid arthritis (RA). This study aimed to elucidate the mechanistic role of HGF in synovial inflammation and assess the therapeutic potential of targeting the HGF-c-Met axis.

Plasma HGF levels were measured in 66 RA patients. The expression of HGF and its receptor, c-Met, in synovial tissue was assessed using publicly available single-cell RNA sequencing data and immunostaining. The effects of HGF on synovial fibroblasts were examined through bulk RNA sequencing, immunostaining, and quantitative PCR. The therapeutic efficacy of the c-Met inhibitor savolitinib was evaluated in a mouse model of arthritis.

Plasma HGF levels were significantly elevated in RA patients (p = 0.0003) and correlated with Disease Activity Score 28-ESR (r = 0.367, p = 0.002). Single-cell analysis and immunostaining revealed that HGF was predominantly expressed in monocytes and fibroblasts, while c-Met expression was restricted to synovial fibroblasts. RNA sequencing indicated that HGF stimulation upregulated key inflammatory markers, including IL-6 and HGF itself, in synovial fibroblasts, establishing an inflammatory feedback loop. In vivo, inhibition of the HGF-c-Met pathway with savolitinib significantly suppressed arthritis development and reduced synovial inflammation. Additionally, activation of Toll-like receptor 4 and 5 activation induced HGF production in human monocytes, which may amplify IL-6-mediated inflammation.

HGF primarily acts on synovial fibroblasts, driving an IL-6-mediated inflammatory amplification loop that may contribute to therapeutic resistance in RA. Targeting the HGF-c-Met pathway could represent a novel strategy for overcoming treatment refractoriness in RA.

## Linked entities

- **Genes:** HGF (hepatocyte growth factor) [NCBI Gene 3082], MET (MET proto-oncogene, receptor tyrosine kinase) [NCBI Gene 4233], IL6 (interleukin 6) [NCBI Gene 3569]
- **Proteins:** HGF (hepatocyte growth factor), MET (MET proto-oncogene, receptor tyrosine kinase), IL6 (interleukin 6)
- **Chemicals:** savolitinib (PubChem CID 68289010)
- **Diseases:** rheumatoid arthritis (MONDO:0008383)
- **Species:** Homo sapiens (taxon 9606), Mus musculus (taxon 10090)

## Full-text entities

- **Genes:** HGF (hepatocyte growth factor) [NCBI Gene 3082] {aka DFNB39, F-TCF, HGFB, HPTA, SF}, MET (MET proto-oncogene, receptor tyrosine kinase) [NCBI Gene 4233] {aka AUTS9, DA11, DFNB97, HGFR, RCCP2, c-Met}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}
- **Diseases:** inflammation (MESH:D007249), arthritis (MESH:D001168), RA (MESH:D001172)
- **Chemicals:** savolitinib (MESH:C000593259)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12901490/full.md

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12901490/full.md

## References

58 references — full list in the complete paper: https://tomesphere.com/paper/PMC12901490/full.md

---
Source: https://tomesphere.com/paper/PMC12901490