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March 7, 2026PLoS ONE2 citationsOpen Access

Identification of key macrophage-related genes in systemic sclerosis–associated interstitial lung disease based on single-cell and bulk transcriptomic data

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TZTing ZhaoYWYulin WangFLFu-an Lin

Key Points

  • The research aims to identify key macrophage-related genes involved in systemic sclerosis-associated interstitial lung disease using transcriptomic data.
  • Analyzed single-cell and bulk transcriptomic data to understand molecular mechanisms of SSc-ILD.
  • Conducted cell–cell communication analysis and pseudotime trajectory analysis.
  • Utilized protein–protein interaction network analysis to find important genes.
  • Performed enrichment analysis and immune infiltration assessment to evaluate gene functions.
  • Conducted molecular docking studies to predict drug interactions.
  • Identified 50 candidate genes from 1515 differentially expressed genes and 400 macrophage module genes.
  • Key genes ARG2, ELF3, and NKX2–1 were highlighted through network analyses.
  • Notable co-enrichment observed in the lysosomal pathway involving the key genes.
  • NKX2–1 showed a strong negative correlation with monocytes; ELF3 and ARG2 positively associated with activated dendritic cells.
  • Molecular docking revealed favorable binding energies for ARG2 and ELF3 with specific drugs.

Abstract

Background Systemic sclerosis–associated interstitial lung disease (SSc-ILD) is a major clinical challenge with no effective treatments. It is also the leading cause of death in patients with systemic sclerosis. Thus, understanding its underlying molecular mechanisms, particularly those related to macrophage-related gene functions, is critical to address this urgent medical need. Methods In this study, single-cell and transcriptomic data retrieved from a public database were analyzed to investigate the underlying molecular mechanisms of SSc-ILD. A series of comprehensive analyses was conducted, including cell–cell communication analysis, pseudotime trajectory analysis, and high-dimensional weighted gene co-expression network analysis, to identify pertinent genes linked to macrophage modules. Candidate genes were determined by intersecting differentially expressed genes (DEGs) with macrophage module genes. Subsequently, key genes were identified through protein–protein interaction (PPI) network analysis and gene expression validation. Various analytical procedures were used to evaluate the function of the key genes in the regulatory roles of SSc-ILD, including enrichment analysis, immune infiltration analysis, drug prediction, and molecular docking. Results Of the 1515 DEGs and 400 macrophage module genes intersected, 50 candidate genes were identified. In particular, ARG2 , ELF3 , and NKX2–1 emerged as key genes through subsequent PPI network analyses and gene expression evaluations. Enrichment analyses revealed a notable co-enrichment of the lysosomal pathway with these key genes. Moreover, immune infiltration analysis revealed a strong negative correlation between NKX2–1 and monocytes, whereas ELF3 and ARG2 exhibited a positive association with activated dendritic cells. The molecular docking results showed that the binding energies of ARG2-SKA-111/cyclophosphamide and ELF3–voruciclib/cyclophosphamide were less than − 5 kcal/mol. Conclusion The findings of this study highlight the key roles of ARG2, ELF3, and NKX2−1 in macrophage-related mechanisms of SSc-ILD, providing insights into potential therapeutic targets. Further research is necessary to explore their functional implications in disease progression and treatment.

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Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/69abc2615af8044f7a4ebe94https://doi.org/10.1371/journal.pone.0344166
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