Multilayer Proteome and Metabolome-Based Validation Uncovers Combined Regulatory Roles and Predictive Values of 6 RNA Modifications and Cellular Senescence in Alzheimer's Disease.
Overview
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences Harbin Medical University Harbin Heilongjiang China
- Department of Pulmonary and Critical Care Medicine, Institute of Respiratory Health, Frontiers Science Center for Disease‐Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity West China Hospital, Sichuan University Chengdu Sichuan China
- Key Laboratory of Heilongjiang Province for Genetically Modified Animals Harbin Medical University Harbin Heilongjiang China
- Dongzhimen Hospital, Beijing University of Chinese Medicine Beijing China
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention Harbin Medical University Harbin Heilongjiang China
- NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Harbin Heilongjiang China
- Joint Key Laboratory of Endemic Diseases (Harbin Medical University, Guizhou Medical University Xi' an Jiaotong University) Harbin Heilongjiang China
Abstract
Aims: Existing studies have revealed that RNA modification regulators and cellular senescence can affect the Alzheimer's disease (AD) process. This study investigated the synergistic mechanism in the brains of AD.
Methods: Based on brain tissue proteomics of patients with AD, we screened out the subtypes of patients that are coordinately regulated by cellular senescence‐related proteins and RNA modification regulators. Transcriptome datasets were used to validate and evaluate 20 hub proteins identified using 100 integrated machine learning algorithms. Finally, protein and metabolic data were employed to explore the characteristics of metabolic subtypes and pathways in AD progression.
Results: The diagnostic model had good diagnostic performance, as revealed by the average area under the receiver operating characteristic curve (AUC) = 0.885 of the internal datasets and the average AUC = 0.89 of transcriptome datasets. Risk score can be used to assess disease progression and the corresponding changes in metabolic characteristics. Finally, metabolic analysis indicates significant abnormalities in amino acid and lipid metabolism during the progression of AD.
Conclusion: We revealed the potential role of RNA modification regulators and cellular senescence‐related proteins in AD pathogenesis and related diagnostic markers through proteomic analysis and machine learning‐based methods.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
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Data
Datasets cited
- geo:GSE1297, at NCBI GEO; found in the references
Other data links
- ncbi.nlm.nih.gov/
geo , NCBI; found in the references
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 6 keywords, 11 MeSH terms, 80 references.
Cite
This paper
Tian, M., Ye, K., Chen, X., Liu, L., Han, X., Zheng, T., Gao, X., Xia, Q., Li, F., & Wang, D. (2026). Multilayer Proteome and Metabolome-Based Validation Uncovers Combined Regulatory Roles and Predictive Values of 6 RNA Modifications and Cellular Senescence in Alzheimer's Disease. CNS neuroscience & therapeutics, 32(7), e71021. https://
BibTeX
@article{tian2026multila
author = {Tian, Mengjie and Ye, Ke and Chen, Xinyi and Liu, Lulu and Han, Xinyu and Zheng, Tianhu and Gao, Xu and Xia, Qing and Li, Fuyuan and Wang, Dayong},
title = {{Multilayer Proteome and Metabolome-Based Validation Uncovers Combined Regulatory Roles and Predictive Values of 6 RNA Modifications and Cellular Senescence in Alzheimer's Disease}},
journal = {CNS neuroscience \& therapeutics},
year = {2026},
month = jul,
volume = {32},
number = {7},
pages = {e71021},
publisher = {Wiley},
issn = {1755-5930},
doi = {10.1002/
url = {https://
pmid = {42446473},
pmcid = {PMC13367321}
}
RIS
TY - JOUR
AU - Tian, Mengjie
AU - Ye, Ke
AU - Chen, Xinyi
AU - Liu, Lulu
AU - Han, Xinyu
AU - Zheng, Tianhu
AU - Gao, Xu
AU - Xia, Qing
AU - Li, Fuyuan
AU - Wang, Dayong
TI - Multilayer Proteome and Metabolome-Based Validation Uncovers Combined Regulatory Roles and Predictive Values of 6 RNA Modifications and Cellular Senescence in Alzheimer's Disease
T2 - CNS neuroscience & therapeutics
J2 - CNS Neurosci Ther
PY - 2026
DA - 2026/
VL - 32
IS - 7
SP - e71021
SN - 1755-5930
PB - Wiley
DO - 10.1002/
UR - https://
LA - en
ER -
CSL-JSON
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