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Background <p>Inflammation plays a critical role in ischemic stroke (IS). This study aimed to identify inflammation-related genes and explore potential pharmacological agents for future preclinical validation in IS.</p> Methods <p>Transcriptome data were integrated to identify inflammation-related genes, which were functionally characterized and evaluated for diagnostic potential, with single-cell analysis and computational drug prediction.</p> Results <p>Four inflammation-related genes, C-C chemokine receptor type 7 (<i>CCR7</i>), <i>CD7</i>, <i>CD96</i>, and interleukin-7 receptor (<i>IL-7R</i>), were identified from integrated transcriptome analyses. These genes showed promising diagnostic potential (area under the curve (AUC) &gt; 0.8) and were functionally associated with cytokine signaling, immune interactions, and calcium homeostasis. Drug-gene interaction and molecular docking analyses indicated that capecitabine and ruxolitinib are potential candidates for modulating <i>CD96</i> and <i>IL-7R</i>.</p> Conclusion <p>This study reveals four inflammation-related genes with preliminary diagnostic value and proposes capecitabine and ruxolitinib as candidate drugs for future preclinical research on IS.</p>

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Integrative bioinformatics and machine learning approaches identify inflammation-related genes and drug candidates for future preclinical validation in ischemic stroke

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月25日

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  • Jialu Yuan,
  • Haiyang Fu,
  • Weidong Han,
  • Xiaoli Huang

摘要

Background

Inflammation plays a critical role in ischemic stroke (IS). This study aimed to identify inflammation-related genes and explore potential pharmacological agents for future preclinical validation in IS.

Methods

Transcriptome data were integrated to identify inflammation-related genes, which were functionally characterized and evaluated for diagnostic potential, with single-cell analysis and computational drug prediction.

Results

Four inflammation-related genes, C-C chemokine receptor type 7 (CCR7), CD7, CD96, and interleukin-7 receptor (IL-7R), were identified from integrated transcriptome analyses. These genes showed promising diagnostic potential (area under the curve (AUC) > 0.8) and were functionally associated with cytokine signaling, immune interactions, and calcium homeostasis. Drug-gene interaction and molecular docking analyses indicated that capecitabine and ruxolitinib are potential candidates for modulating CD96 and IL-7R.

Conclusion

This study reveals four inflammation-related genes with preliminary diagnostic value and proposes capecitabine and ruxolitinib as candidate drugs for future preclinical research on IS.