Evidence map›Paper›PMID 38036733›Full record

ArticleExperimental & molecular medicine2023

Spatiotemporal characterization of glial cell activation in an Alzheimer's disease model by spatially resolved transcriptomics.

Hongyoon Choi, Eun Ji Lee, Jin Seop Shin, Hyun Kim, Sungwoo Bae, Yoori Choi, Dong Soo Lee

Abstract read
In one paragraph

Article in Experimental & molecular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Regional astrocyte dysregulation and altered glymphatic-related markers in Alzheimer's disease frontal cortex.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  13. Spatial Transcriptomic Analysis Identifies abioRxiv : the preprint server for biology · 2024
    Article
  14. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hongyoon Choi *Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. chy1000@snu.ac.kr.
Eun Ji Lee *Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Jin Seop ShinDepartment of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hyun KimDepartment of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sungwoo BaeDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Yoori ChoiDepartment of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. yns086@snu.ac.kr.
Dong Soo LeeDepartment of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. dsl@snu.ac.kr.

Funding

National Research Foundation of Korea (NRF) 2019K1A3A1A14065446National Research Foundation of Korea (NRF) 2020M3A9B6038086National Research Foundation of Korea (NRF) 2020R1A2C2101069
6 · The paper itself

Abstract

The molecular changes that occur with the progression of Alzheimer's disease (AD) are well known, but an understanding of the spatiotemporal heterogeneity of changes in the brain is lacking. Here, we investigated the spatially resolved transcriptome in a 5XFAD AD model at different ages to understand regional changes at the molecular level. Spatially resolved transcriptomic data were obtained from 5XFAD AD models and age-matched control mice. Differentially expressed genes were identified using spots clustered by anatomical structures. Gene signatures of activation of microglia and astrocytes were calculated and mapped on the spatially resolved transcriptomic data. We identified early alterations in the white matter (WM) of the AD model before the definite accumulation of amyloid plaques in the gray matter (GM). Changes in the early stage of the disease involved primarily glial cell activation in the WM, whereas the changes in the later stage of pathology were prominent in the GM. We confirmed that disease-associated microglia (DAM) and astrocyte (DAA) signatures also showed initial changes in WM and that activation spreads to GM. Trajectory inference using microglial gene sets revealed the subdivision of DAMs with different spatial patterns. Taken together, these results help to understand the spatiotemporal changes associated with reactive glial cells as a major pathophysiological characteristic of AD. The heterogeneous spatial molecular changes apply to identifying diagnostic and therapeutic targets caused by amyloid accumulation in AD.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAnimalsDisease Models, AnimalGene Expression ProfilingMiceMice, TransgenicMicrogliaNeurogliaTranscriptomeAmyloid beta-Peptides

Identifiers

PMID38036733
PMCPMC10767047

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.