bioRxivNeurosciencePreprint
HypoAD: volumetric and single-cell analysis reveals changes in the human hypothalamus in aging and Alzheimer's disease
Doudou YuiD, Jürgen GermanniD, Ghulam MurtazaiD, Kaitlyn H. HajdaroviciD, Kelsey R. BabcockiD, Shiva Kazempour DehkordiiD, Alexander C. JacksoniD, Ivana DelalleiD, Miranda E. OrriD, Habil ZareiD, Ritambhara SinghiD, William Stafford NobleiD, Andrei G. VlassenkoiD, Manu S. GoyaliD, Ashley E. WebbiD
Abstract
Alterations in metabolism, stress response, sleep, circadian rhythms, and neuroendocrine processes are key features of aging and neurodegeneration. These fundamental processes are regulated by the hypothalamus, yet how its functionally distinct subregions and cell types change during human aging and Alzheimers Disease (AD) remains largely unexplored. Here, we present HypoAD, a comprehensive atlas of the human hypothalamus in aging and AD, integrating high-resolution MRI from 202 individuals with single-nucleus RNA-seq (snRNA-seq) of 614,403 nuclei from young, AD, and age-matched non-dementia controls. Our analysis reveals that hypothalamic subregions governing metabolism, stress, and circadian rhythms are particularly vulnerable, exhibiting significant changes in both volumes and gene expression during aging and AD. At the molecular level, machine learning models identified the inflammatory response and regulators of circadian rhythms as key cellular predictors of AD. These signatures were reflected in specific cell types: microglia transitioned to a pro-inflammatory state, while inhibitory neurons within sleep-and circadian-regulating hypothalamic subregions showed the most profound transcriptional alterations, including disruptions in ligand-receptor interactions and G-protein-coupled receptor signaling. Together, HypoAD provides a high-resolution volumetric map and a comprehensive transcriptomic atlas of the human hypothalamus in aging and AD, linking lifestyle and behavioral changes to their underlying volumetric and molecular pathways. Additionally, HypoAD provides a framework to investigate hypothalamic dysfunction and establishes a roadmap for targeted interventions aimed at mitigating physiological disruptions to potentially slow disease progression.
- organism: human
- assay: spatial transcriptomics
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: machine learning (classical)
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single cell analysis of the aging female hypothalamus
Kaitlyn H. Hajdarovic, Doudou Yu, … Ashley E. Webb·bioRxiv·Mar 7, 2021
- Hypothalamic gene network dysfunction is associated with cognitive decline and body weight loss in Alzheimer's disease mice
Yanchao Dai, Amy R. Dunn, … Catherine Cook Kaczorowski·bioRxiv·Apr 8, 2022
- Transcriptomic changes highly similar to Alzheimer's disease are observed in a subpopulation of individuals during normal brain aging
Shouneng Peng, Lu Zeng, … Zhidong Tu·Frontiers in Aging NeurosciencePeer-reviewed·Dec 1, 2021
- Single-cell anatomical analysis of human hippocampus and entorhinal cortex uncovers early-stage molecular pathology in Alzheimer's disease
José Dávila-Velderrain, Hansruedi Mathys, … M Kellis·bioRxiv·Jul 1, 2021
- The wake- and sleep-modulating neurons of the lateral hypothalamic area demonstrate a differential pattern of degeneration in Alzheimers disease
Abhijit Satpati, Felipe Luiz Pereira, … Lea T. Grinberg·bioRxiv·Mar 6, 2024
- Multi-cellular communities are perturbed in the aging human brain and with Alzheimer's disease
Anael Cain, Mariko F. Taga, … Philip L. De Jager·Nature NeurosciencePeer-reviewed·Jun 19, 2023