Evidence map›Paper›PMID 41291825›Full record

ArticleClinical epigenetics2025

Association of blood-based DNA methylation of lncRNAs with Alzheimer's disease diagnosis.

Guanghui Tian, Dehua Zheng, Nihui Zhang, Wanxin Deng, Jiankai Xu, Chenqing Huang, Qiang Chen, Shasha Hu, Li Xin, Hong Wang and 3 more

Abstract read
In one paragraph

Article in Clinical epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Review
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.

Guanghui TianCollege of Biomedical Information and Engineering, Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, 571199, China.
Dehua ZhengCollege of Biomedical Information and Engineering, Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, 571199, China.
Nihui ZhangCollege of Biomedical Information and Engineering, Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, 571199, China.
Wanxin DengDepartment of Clinical Laboratory, Center for Laboratory Medicine, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, 570206, China.
Jiankai XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Chenqing HuangCollege of Biomedical Information and Engineering, Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, 571199, China.
Qiang ChenCollege of Biomedical Information and Engineering, Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, 571199, China.
Shasha HuCollege of Biomedical Information and Engineering, Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, 571199, China.
Li XinBaoting Branch of Hainan General Hospital, Baoting, 572300, China.
Hong WangCollege of Biomedical Information and Engineering, Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, 571199, China.
Bo WangCollege of Biomedical Information and Engineering, Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, 571199, China. wangqugans@163.com.
Kongning LiCollege of Biomedical Information and Engineering, Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, 571199, China. likongning@muhn.edu.cn.
Dahua XuCollege of Biomedical Information and Engineering, Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, 571199, China. xudahua1209@muhn.edu.cn.

Funding

Hainan Province Science and Technology special fund ZDYF2022SHFZ040, ZDYF2021SHFZ247Hainan Provincial Natural Science Foundation of China 825QN315Innovative research project for Graduate students in Hainan Province Qhys2023-489, Qhys2023-447, Qhys2024-477, Qhys2024-473Major Science and Technology Program of Hainan Province ZDKJ2021040National Natural Science Foundation of China 32160152, 32460161
6 · The paper itself

Abstract

backgroundDNA methylation has shown great potential in Alzheimer's disease (AD) blood diagnosis. However, the ability of long non-coding RNAs (lncRNAs), which can be modified by DNA methylation, to serve as noninvasive biomarkers for AD diagnosis remains unclear.

methodsWe performed logistic regression analysis of DNA methylation data from the blood of patients with AD compared and normal controls to identify epigenetically regulated (ER) lncRNAs. Through five machine learning algorithms, we prioritized ER lncRNAs associated with AD diagnosis. An AD blood diagnosis model was constructed based on lncRNA methylation in Australian Imaging, Biomarkers, and Lifestyle (AIBL) subject and verified in two large blood-based studies, the European collaboration for the discovery of novel biomarkers for Alzheimer's disease (AddNeuroMed) and the Alzheimer's Disease Neuroimaging Initiative (ADNI). In addition, the potential biological functions and clinical associations of lncRNAs were explored, and their neuropathological roles in AD brain tissue were estimated via cross-tissue analysis.

resultsWe characterized the ER lncRNA landscape in AD blood, which is strongly related to AD occurrence and process. Fifteen ER lncRNAs were prioritized to construct an AD blood diagnostic and nomogram model. The receiver operating characteristic (ROC) curve and the decision and calibration curves show that the model has good prediction performance. We found that the targets and lncRNAs were correlated with AD clinical features. Moreover, cross-tissue analysis revealed that the lncRNA ENSG0000029584 plays both diagnostic and neuropathological roles in AD.

conclusionOur results demonstrate the diagnostic capacity of lncRNA methylation in AD blood, providing novel insights into the development of noninvasive biomarkers of AD.

Indexed as

Alzheimer DiseaseDNA MethylationRNA, Long NoncodingAgedAged, 80 and overBiomarkersEpigenesis, GeneticFemaleHumansMachine LearningMaleBiomarkersRNA, Long NoncodingAlzheimer’s diseaseBlood biomarkerDNA methylationlncRNAMachine learning

Identifiers

PMID41291825
PMCPMC12648935

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.