# The immune landscape of systemic sclerosis: from pathogenic mechanisms to precision therapeutic breakthroughs

**Authors:** Mengguo Liu

PMC · DOI: 10.3389/fimmu.2026.1713221 · Frontiers in Immunology · 2026-03-02

## TL;DR

This paper explores how immune system changes in systemic sclerosis drive fibrosis and how new therapies may offer precision treatment options.

## Contribution

The paper integrates recent multi-omics insights with emerging precision therapies to advance understanding and treatment of systemic sclerosis.

## Key findings

- Single-cell and spatial multi-omics reveal immune heterogeneity in systemic sclerosis.
- Precision therapies targeting IL-6, B cells, JAK-STAT, and T-cell co-stimulation show promise.
- Challenges include treatment response variability and lack of biomarkers for fibrosis reversal.

## Abstract

Systemic sclerosis (SSc) is a chronic autoimmune disease characterized by immune dysregulation, microvascular damage, and multi-organ fibrosis. Recent breakthroughs in single-cell and spatial multi-omics technologies have profoundly revealed the high heterogeneity of the SSc immune microenvironment, including extensive aberrant activation of innate immunity (e.g., dendritic cells, macrophages, neutrophils) and adaptive immunity (T cells, B cells), and their interaction with fibroblasts and endothelial cells through an “immune-stromal-vascular” network that collectively drives the fibrotic process. These findings have advanced disease subtyping based on molecular features (e.g., inflammatory, fibrotic) and the development of precision therapeutic strategies. Emerging therapies targeting the IL-6 receptor (tocilizumab), B cells (rituximab, belimumab, CAR-T), the JAK-STAT pathway (tofacitinib, baricitinib), and T-cell co-stimulation (abatacept) have shown potential to improve disease progression in clinical studies. However, heterogeneity in treatment response, difficulty in reversing fibrosis, and the lack of biomarkers remain current challenges. Future efforts require integrating multi-omics and artificial intelligence technologies to build dynamic predictive models, promoting multi-target combination and individualized therapies, ultimately aiming for early intervention and long-term remission in SSc.

## Linked entities

- **Proteins:** IL6 (interleukin 6)
- **Chemicals:** tofacitinib (PubChem CID 9926791), baricitinib (PubChem CID 44205240)
- **Diseases:** systemic sclerosis (MONDO:0005100)

## Full-text entities

- **Diseases:** inflammatory (MESH:D007249), immune dysregulation (OMIM:614878), fibrosis (MESH:D005355), autoimmune disease (MESH:D001327), SSc (MESH:D012595), microvascular damage (MESH:D017566)
- **Chemicals:** rituximab (MESH:D000069283), tofacitinib (MESH:C479163), baricitinib (MESH:C000596027), belimumab (MESH:C511911), tocilizumab (MESH:C502936)

## Full text

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## Figures

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## References

132 references — full list in the complete paper: https://tomesphere.com/paper/PMC12989563/full.md

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Source: https://tomesphere.com/paper/PMC12989563