Evidence map›Paper›PMID 40186068›Full record

ArticleNeurotoxicity research2025

Associations among Angiotensin-Converting Enzyme, Neuroinflammation, and Cerebrospinal Fluid Biomarkers of Alzheimer's Disease in Non-Dementia Adults.

Lan-Yang Wang, Hao Hu, Ze-Hu Sheng, He-Ying Hu, Ya-Nan Ou, Fan Guo, Yang-Ke Zhu, Lan Tan, Alzheimer’s Disease Neuroimaging Initiative

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Article in Neurotoxicity research, 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.

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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.

Lan-Yang Wang *Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Nanjing, China.
Hao Hu *Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China. qingdaoshennei@163.com.
Ze-Hu ShengDepartment of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
He-Ying HuDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Ya-Nan OuDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Fan GuoDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Yang-Ke ZhuDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Lan TanDepartment of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Nanjing, China. dr.tanlan@163.com.
Alzheimer’s Disease Neuroimaging Initiative

Funding

National Natural Science Foundation of China 82201587
6 · The paper itself

Abstract

Recent studies have identified the angiotensin-converting enzyme (ACE) gene as a potential candidate influencing Alzheimer's disease (AD) risk. It is crucial to investigate the impact of ACE on AD pathology and its underlying mechanisms. A total of 450 non-demented participants from the Alzheimer's disease Neuroimaging Initiative (ADNI) with data on cerebrospinal fluid (CSF) ACE, AD core biomarkers and inflammation-related biomarkers were included. Multiple linear regression was used to assess the associations among CSF ACE, AD core biomarkers and inflammation-related biomarkers. And we used the mediation models to investigate the potential mechanisms through which ACE influenced AD pathology. The results of multiple linear regression were shown that CSF ACE was significantly correlated with CSF Aβ

Indexed as

Alzheimer DiseaseNeuroinflammatory DiseasesPeptidyl-Dipeptidase AAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersFemaleHumansInflammationMaleMiddle AgedPeptide Fragmentstau ProteinsACE protein, humanAmyloid beta-PeptidesBiomarkersPeptide FragmentsPeptidyl-Dipeptidase Atau ProteinsAlzheimer’s diseaseAngiotensin-converting enzymeCerebrospinal fluidNeuroinflammation

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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.