PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 5, 2026Frontiers in Immunology2 citationsOpen Access

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

MLMengguo Liu

Key Points

  • The aim is to explore the immune mechanisms in systemic sclerosis and advance therapeutic strategies.
  • Utilized single-cell and spatial multi-omics technologies to study the immune microenvironment.
  • Analyzed interactions between immune cells, fibroblasts, and endothelial cells in systemic sclerosis.
  • Developed disease subtyping based on molecular features and potential therapeutic targets.
  • Revealed significant heterogeneity in the immune landscape of systemic sclerosis.
  • Identified various therapeutic targets, including IL-6 receptor and JAK-STAT pathway inhibitors.
  • Noted challenges in treatment response variability, fibrosis reversal, and biomarker identification.

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Mengguo Liu (2026) studied this question.

synapsesocial.com/papers/69a91d55d6127c7a504c00c2https://doi.org/10.3389/fimmu.2026.1713221
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Atypical chemokine receptor 1-positive endothelial cells mediate leucocyte infiltration and synergize with secreted frizzled-related protein 2/asporin-positive fibroblasts to promote skin fibrosis in systemic sclerosis2024 · 21 citations
  2. 2Elevated neutrophil extracellular traps in systemic sclerosis-associated vasculopathy and suppression by a synthetic prostacyclin analog2024 · 10 citations
  3. 3Safety and efficacy of rituximab in systemic sclerosis (DESIRES): a double-blind, investigator-initiated, randomised, placebo-controlled trial2021 · 271 citations
  4. 4Tofacitinib rapidly ameliorated polyarthropathy in a patient with systemic sclerosis2017 · 26 citations
  5. 5A randomised, parallel-group, double-blind, placebo-controlled phase 3 study to Determine the effectiveness of the type I interferon receptor antibody, Anifrolumab, In SYstemic sclerosis: DAISY study design and rationale2024 · 18 citations