Impact of Alzheimer’s disease risk factors and local neuromelanin content on the transcriptomic landscape of the human locus coeruleus
The locus coeruleus (LC) is a small noradrenergic nucleus in the dorsal pons that sends projections widely across the brain to regulate multiple functions including sleep, memory, arousal, and cognition. The LC has several unique cellular features including the presence of neuromelanin (NM) and its accumulation of a precursor to Alzheimer’s Disease (AD) pathology, soluble phospho-tau (pTau), in virtually all individuals by adulthood. NM increases in LC during early life, plateauing in middle age, and eventually dissipating, coinciding with LC neuron degeneration, a process which is observed in healthy aging but accelerated in AD. NM-sensitive neuroimaging predicts clinical severity and future progression of AD. While these findings suggest an etiologic role for the LC in AD, data describing the molecular landscape of the LC in middle age, preceding the clinical manifestation of sporadic AD, is lacking. Understanding the molecular state of the LC during this time period is critical to developing interventions that preserve this brain region and the cognitive functions it supports. Here, we performed Visium spatial transcriptomics on 85 tissue sections of human postmortem LC from a cohort of 33 middle-aged, neurotypical donors, balanced for epidemiologic AD risk factors including sex, African or European ancestry, and APOE genotypes (carriers of the E4/risk or E2/protective alleles). We find an unexpected male-bias in LC expression of cholesterol synthesis pathway genes, suggesting that intrinsic neuronal cholesterol synthesis may be protective against AD. Comparing across APOE genotypes, astrocytic gene expression differs in the immediate vicinity of LC neurons. Finally, we leverage histological images captured from the profiled tissue to associate gene expression to NM abundance, finding that APOE expression is associated with reduced NM content, and that NM-associated genes are enriched for aging-related pathways. These findings provide important information about how AD risk factors and NM content impact molecular correlates of resilience/susceptibility of the aging LC to degeneration. Data are freely available, including through visualization browsers to enable wide utilization of these tools for understanding LC biology in AD and other LC-related neurodegenerative disorders, including Parkinson’s disease.
from sddb import Catalog
cohort = Catalog().collection("geo-gse307866")
cohort.members # the 43 datasets as a table
print(cohort.licenses()) # check the terms before you download
sdatas = cohort.to_dict() # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/") Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
coll = db.Collection.get(key="geo-gse307866")
coll.ordered_artifacts.to_dataframe() # the 43 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()] # sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse307866 --dest data/ Licenses: 43 NCBI GEO policy
Cite this collection
doi.org/10.1101/2025.10.29.685354 ↗@article{Mulvey_2025,
title = {Impact of Alzheimer’s disease risk factors and local neuromelanin content on the transcriptomic landscape of the human locus coeruleus},
url = {http://dx.doi.org/10.1101/2025.10.29.685354},
DOI = {10.1101/2025.10.29.685354},
publisher = {openRxiv},
author = {Mulvey, Bernard and Divecha, Heena R. and Tippani, Madhavi and Bach, Svitlana V. and Bharadwaj, Rahul and Del Rosario, Ishbel and Maguire, Sarah E. and Miller, Ryan A. and Salisbury, Aaron J. and Chandra, Atharv and Oster, Beau A. and Montgomery, Kelsey D. and Kwon, Sang Ho and Algrain, Haya A. and Papariello, Alexis R. and Huuki-Myers, Louise A. and Kleinman, Joel E. and Collado-Torres, Leonardo and Hyde, Thomas M. and Han, Shizhong and Hicks, Stephanie C. and Weinberger, Daniel R. and Page, Stephanie C. and Maynard, Kristen R. and Martinowich, Keri},
year = {2025},
month = Oct
}