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

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.

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Publication Details

Journal
npj Aging
Published
2025-05-25
DOI
https://doi.org/10.1038/s41514-025-00228-x
Citations
3
Primary Topic
Neurological Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
2.53

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article

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

Y. P. Xu, Bingying Du, Xiaoying Bi, Zengkan Du et al.
3 citations
npj Aging
Neurological Disease Mechanisms and Treatments
2.53
article

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

Y. P. Xu, Bingying Du, Xiaoying Bi, Zengkan Du, Zhengsheng Gu, Xin Gao, Yan Jiang, Ge Yin, Cui Wang, Yanbo Zhang, Meng Liang, Xuehao Jiao, Hailing Zhang
article en
3 citations

Abstract

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.

npj AgingVol. 11(1)
Allen Institute for Brain Science (US), University of Alberta (CA), Second Military Medical University (CN), Shanghai Ninth People's Hospital (CN), Dalian Municipal Central Hospital (CN), Changhai Hospital (CN)
Natural Science Foundation of Shanghai, National Natural Science Foundation of China, Chinese People’s Liberation Army
Zero hunger
Openalex Percentile: Top 11%
Neurological Disease Mechanisms and Treatments
2.53
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