Multi-Omics Reveals Dysregulated Neurotransmitter Systems in Aging and CNS Disorders.
Overview
- Affiliated Mental Health Centre of Kunming Medical University Kunming Yunnan China
- The Second People's Hospital of Honghe Prefecture Honghe Hospital of Yunnan Provincial Mental Hospital Honghe China
- Department of Neurology First Affiliated Hospital of Kunming Medical University Kunming China
- The Second Affiliated Hospital of Kunming Medical University Kunming Yunnan China
- School of Forensic Medicine Kunming Medical University Kunming Yunnan China
Abstract
The neurotransmitter system (NTS) composed of neurotransmitter receptors and transporters is associated with a variety of diseases and disorders. The identification of disease‐associated NTS features is important for understanding disease mechanisms and for prioritizing potential therapeutic targets. The differences in the composition of NTS in aging and different diseases are not well understood. Here, we show how to integrate multi‐omics data at scale, including single‐cell and spatial transcriptomic, to identify disease‐associated NTS. By integrating, annotating, and analyzing 368 publicly available single‐nucleus RNA sequencing (snRNA‐seq) datasets from 17 cohort studies, we created a snRNA‐seq dataset for the prefrontal cortex (PFC) of the human brain. The resulting dataset included > 1 million cells covering healthy individuals throughout the life course after birth and eight common neuropsychiatric disorders. We comprehensively describe the cellular heterogeneity of NTS in aging and disease, and resolve the relationship between age or sex and disease‐associated NTS. A module composed of NTS and their regulatory genes was constructed and showed disease‐associated discriminatory signal, with supportive validation from protein‐level and external datasets. In order to screen NTS networks that can simulate disease brain tissue, we conducted a comparative analysis of five disease‐related cerebral organoids and found partial similarity between patient‐derived organoids and parental brain tissues. Our work provides a multi‐disease cell atlas based on large‐scale snRNA‐seq data and analyses the disease and sex heterogeneity of NTS, which provides new insights into the mechanisms of multiple CNS diseases and sheds light on disease precision therapy against NTS.
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Data Availability Statement
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 12 authors, 5 keywords, 7 MeSH terms, 5 funders, 87 references.
Cite
This paper
Niu, R., Zhang, M., Li, Y., Zhou, X., Liu, X., Wu, J., Wang, W., Wang, Y., Ruan, Y., Ding, Y., Zeng, X., & Bao, T. (2026). Multi-Omics Reveals Dysregulated Neurotransmitter Systems in Aging and CNS Disorders. Aging cell, 25(5), e70544. https://
BibTeX
@article{niu2026multi,
author = {Niu, Rui‐Ze and Zhang, Meng‐Yuan and Li, Yan‐Ping and Zhou, Xiao‐Qian and Liu, Xiao‐Lei and Wu, Jie and Wang, Wei‐Wei and Wang, Yan‐Jun and Ruan, Yi and Ding, Yu and Zeng, Xiao‐Feng and Bao, Tian‐Hao},
title = {{Multi-Omics Reveals Dysregulated Neurotransmitter Systems in Aging and CNS Disorders}},
journal = {Aging cell},
year = {2026},
month = may,
volume = {25},
number = {5},
pages = {e70544},
publisher = {Wiley},
issn = {1474-9718},
doi = {10.1111/
url = {https://
pmid = {42128883},
pmcid = {PMC13171466}
}
RIS
TY - JOUR
AU - Niu, Rui‐Ze
AU - Zhang, Meng‐Yuan
AU - Li, Yan‐Ping
AU - Zhou, Xiao‐Qian
AU - Liu, Xiao‐Lei
AU - Wu, Jie
AU - Wang, Wei‐Wei
AU - Wang, Yan‐Jun
AU - Ruan, Yi
AU - Ding, Yu
AU - Zeng, Xiao‐Feng
AU - Bao, Tian‐Hao
TI - Multi-Omics Reveals Dysregulated Neurotransmitter Systems in Aging and CNS Disorders
T2 - Aging cell
J2 - Aging Cell
PY - 2026
DA - 2026/
VL - 25
IS - 5
SP - e70544
SN - 1474-9718
PB - Wiley
DO - 10.1111/
UR - https://
LA - en
ER -
CSL-JSON
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