Evidence map›Paper›PMID 36299860›Full record

ArticleFrontiers in molecular neuroscience2022

Potential biomarkers of Alzheimer's disease and cerebral small vessel disease.

Chun Zou, Xiaohua Huang, Yilong Zhang, Mika Pan, Jieqiong Xie, Liechun Chen, Youshi Meng, Donghua Zou, Jiefeng Luo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Sex differences in neuromodulatory subcortical systems and their implications for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  2. The value of machine learning models in differentiating alzheimer's disease from Moderate-to-Severe cerebral small vessel disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
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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

9 authors at 2 institutions in 1 country.

Chun ZouDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xiaohua HuangDepartment of Neurology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Yilong ZhangClinical Research Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Mika PanDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jieqiong XieDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Liechun ChenDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Youshi MengDepartment of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.
Donghua ZouDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jiefeng LuoDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guangxi Medical University · CNAffiliated Hospital of Youjiang Medical University for Nationalities · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cerebral small vessel disease (CSVD) is associated with the pathogenesis of Alzheimer's disease (AD). Effective treatments to alleviate AD are still not currently available. Hence, we explored markers and underlying molecular mechanisms associated with AD by utilizing gene expression profiles of AD and CSVD patients from public databases, providing more options for early diagnosis and its treatment. Methods: Gene expression profiles were collected from GSE63060 (for AD) and GSE162790 (for CSVD). Differential analysis was performed between AD and mild cognitive impairment (MCI) or CSVD progression and CSVD no-progression. In both datasets, differentially expressed genes (DEGs) with the same expression direction were identified as common DEGs. Then protein-protein interaction (PPI) network was constructed for common DEGs. Differential immune cells and checkpoints were calculated between AD and MCI. Results: A total of 146 common DEGs were identified. Common DEGs were mainly enriched in endocytosis and oxytocin signaling pathways. Interestingly, endocytosis and metabolic pathways were shown both from MCI to AD and from CSVD no-progression to CSVD progression. Moreover, SIRT1 was identified as a key gene by ranking degree of connectivity in the PPI network. SIRT1 was associated with obesity-related genes and metabolic disorders. Additionally, SIRT1 showed correlations with CD8 T cells, NK CD56 bright cells, and checkpoints in AD. Conclusion: The study revealed that the progression of AD is associated with abnormalities in gene expression and metabolism and that the SIRT1 gene may serve as a promising therapeutic target for the treatment of AD.

Indexed as

Alzheimer’s diseasebioinformaticscerebral small vessel diseasemetabolic pathwaysSIRT1

Identifiers

PMID36299860
PMCPMC9588985
OpenAlexW4303961982

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.