Evidence map›Paper›PMID 40414977›Full record

Articlenpj aging2025

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

Yawen Xu, Hailing Zhang, Xuehao Jiao, Yanbo Zhang, Ge Yin, Cui Wang, Zengkan Du, Meng Liang, Xin Gao, Zhengsheng Gu and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in npj aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. The enigma of vascular dementia: current state and emerging perspectives.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yawen Xu *Department of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Hailing Zhang *Department of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Xuehao Jiao *Department of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Yanbo ZhangDepartment of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Ge YinDepartment of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Cui WangDepartment of Neurology, Dalian Municipal Central Hospital Affiliated to Dalian University of Technology, Dalian, PR China.
Zengkan DuFaculty of Basic Medical Sciences, Second Military Medical University, Shanghai, PR China.
Meng LiangDepartment of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Xin GaoDepartment of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Zhengsheng GuDepartment of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Yan JiangSchool of Pharmacy, Second Military Medical University, Shanghai, PR China.
Bingying DuDepartment of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, PR China. 15800614142@163.com.ORCID http://orcid.org/0000-0003-3124-780X
Xiaoying BiDepartment of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, PR China. bixiaoying2013@163.com.ORCID http://orcid.org/0000-0001-5784-7294

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81871040National Natural Science Foundation of China (National Science Foundation of China) 82101563Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 22ZR1477100
6 · The paper itself

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.

Identifiers

PMID40414977
PMCPMC12104436

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.