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<p>Vascular dementia (VaD) is the second most common cause of dementia. Few bioinformatic analysis has been done to explore its biomarkers. This study aimed to excavate potential biomarkers for VaD using bioinformatic analysis and validate them at both animal and patient levels. Based on microarray data of GSE122063, bioinformatic analysis revealed 502 DEGs in the frontal and 674 DEGs in the temporal cortex of VaD patients. Afterward, the hub genes between two regions, including C1QA, C1QB, C1QC, and C5AR1, were dugout. Interestingly, compared with sham mice or controls, the above four complements were highly expressed in the cortices of VaD animals and in the peripheral serum of VaD patients. Moreover, receiver operating characteristic curve analysis conformed to good diagnostic powers of these complements, with C1QB having the most prominent capacity (AUC = 0.799, 95%CI 0.722–0.875). That means the complements, especially subunits of C1Q, might be used as specific early VaD diagnostic biomarkers.</p>

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Dysregulations of C1QA, C1QB, C1QC and C5AR1 as candidate biomarkers of vascular dementia

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月25日

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  • Yawen Xu,
  • Hailing Zhang,
  • Xuehao Jiao,
  • Yanbo Zhang,
  • Ge Yin,
  • Cui Wang,
  • Zengkan Du,
  • Meng Liang,
  • Xin Gao,
  • Zhengsheng Gu,
  • Yan Jiang,
  • Bingying Du,
  • Xiaoying Bi

摘要

Vascular dementia (VaD) is the second most common cause of dementia. Few bioinformatic analysis has been done to explore its biomarkers. This study aimed to excavate potential biomarkers for VaD using bioinformatic analysis and validate them at both animal and patient levels. Based on microarray data of GSE122063, bioinformatic analysis revealed 502 DEGs in the frontal and 674 DEGs in the temporal cortex of VaD patients. Afterward, the hub genes between two regions, including C1QA, C1QB, C1QC, and C5AR1, were dugout. Interestingly, compared with sham mice or controls, the above four complements were highly expressed in the cortices of VaD animals and in the peripheral serum of VaD patients. Moreover, receiver operating characteristic curve analysis conformed to good diagnostic powers of these complements, with C1QB having the most prominent capacity (AUC = 0.799, 95%CI 0.722–0.875). That means the complements, especially subunits of C1Q, might be used as specific early VaD diagnostic biomarkers.