Collections / Microglial mechanisms drive amyloid-β clearance in immunized patients with Alzheimer’s disease [dataset3]

Microglial mechanisms drive amyloid-β clearance in immunized patients with Alzheimer’s disease [dataset3]

Alzheimer’s disease (AD) therapies utilizing amyloid-β (Aβ) immunization have shown potential in clinical trials. Yet, the mechanisms driving Aβ clearance in the immunized AD brain remain unclear. Here, we use spatial transcriptomics to explore the effects of both active and passive Aβ immunization in the AD brain. We compare actively immunized AD patients with nonimmunized AD patients and neurologically healthy controls, identifying distinct microglial states associated with Aβ clearance. Using high-resolution spatial transcriptomics alongside single-cell RNA sequencing, we delve deeper into the transcriptional pathways involved in Aβ removal after lecanemab treatment. We uncover spatially distinct microglial responses that vary by brain region. Our analysis reveals upregulation of the triggering receptor expressed on myeloid cells 2 (TREM2) and apolipoprotein E (APOE) in microglia across immunization approaches, which correlate positively with antibody responses and Aβ removal. Furthermore, we show that complement signaling in brain myeloid cells contributes to Aβ clearance after immunization. These findings provide new insights into the transcriptional mechanisms orchestrating Aβ removal and shed light on the role of microglia in immune-mediated Aβ clearance. Importantly, our work uncovers potential molecular targets that could enhance Aβ-targeted immunotherapies, offering new avenues for developing more effective therapeutic strategies to combat AD.

Datasets8
Size~634 MB
AssayVisium
Samplehuman · multiple
KindOther
Flag a data issue
PMID:40050704 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse263079")
cohort.members        # the 8 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/")
Python · lamindb

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-gse263079")
coll.ordered_artifacts.to_dataframe()   # the 8 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse263079 --dest data/

Licenses: 8 CC BY 4.0

Open in Vitessce
Visium
Human inferior parietal cortex
GSM8675578
human inferior parietal cortex Alzheimer disease 93.9 MB 9,564 spots silver H&E
TechnologyVisium
Organismhuman
Tissueinferior parietal cortex
ConditionAlzheimer disease
Size93.9 MB
Spots9,564
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human hippocampal formation
GSM8675579
human hippocampal formation Alzheimer disease 85.2 MB 10,764 spots silver H&E
TechnologyVisium
Organismhuman
Tissuehippocampal formation
ConditionAlzheimer disease
Size85.2 MB
Spots10,764
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human middle frontal gyrus
GSM8675576
human middle frontal gyrus Alzheimer disease 93.9 MB 7,441 spots silver H&E
TechnologyVisium
Organismhuman
Tissuemiddle frontal gyrus
ConditionAlzheimer disease
Size93.9 MB
Spots7,441
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human middle frontal gyrus
GSM8675580
human middle frontal gyrus Alzheimer disease 87.5 MB 13,866 spots silver H&E
TechnologyVisium
Organismhuman
Tissuemiddle frontal gyrus
ConditionAlzheimer disease
Size87.5 MB
Spots13,866
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human hippocampal formation
GSM8675583
human hippocampal formation Alzheimer disease 61.4 MB 10,003 spots silver H&E
TechnologyVisium
Organismhuman
Tissuehippocampal formation
ConditionAlzheimer disease
Size61.4 MB
Spots10,003
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human superior temporal gyrus
GSM8675581
human superior temporal gyrus Alzheimer disease 50.7 MB 13,670 spots silver H&E
TechnologyVisium
Organismhuman
Tissuesuperior temporal gyrus
ConditionAlzheimer disease
Size50.7 MB
Spots13,670
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human superior temporal gyrus
GSM8675577
human superior temporal gyrus Alzheimer disease 98.9 MB 14,108 spots silver H&E
TechnologyVisium
Organismhuman
Tissuesuperior temporal gyrus
ConditionAlzheimer disease
Size98.9 MB
Spots14,108
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human inferior parietal cortex
GSM8675582
human inferior parietal cortex Alzheimer disease 62.7 MB 13,299 spots silver H&E
TechnologyVisium
Organismhuman
Tissueinferior parietal cortex
ConditionAlzheimer disease
Size62.7 MB
Spots13,299
silver H&E Open in Vitessce

Cite this collection

doi.org/10.1038/s41591-025-03574-1 ↗
BibTeX
@article{van_Olst_2025,
  title = {Microglial mechanisms drive amyloid-β clearance in immunized patients with Alzheimer’s disease},
  volume = {31},
  ISSN = {1546-170X},
  url = {http://dx.doi.org/10.1038/s41591-025-03574-1},
  DOI = {10.1038/s41591-025-03574-1},
  number = {5},
  journal = {Nature Medicine},
  publisher = {Springer Science and Business Media LLC},
  author = {van Olst, Lynn and Simonton, Brooke and Edwards, Alex J. and Forsyth, Anne V. and Boles, Jake and Jamshidi, Pouya and Watson, Thomas and Shepard, Nate and Krainc, Talia and Argue, Benney MR and Zhang, Ziyang and Kuruvilla, Joshua and Camp, Lily and Li, Mengwei and Xu, Hang and Norman, Jeanette L. and Cahan, Joshua and Vassar, Robert and Chen, Jinmiao and Castellani, Rudolph J. and Nicoll, James AR and Boche, Delphine and Gate, David},
  year = {2025},
  month = Mar,
  pages = {1604–1616}
}