Evidence map›Paper›PMID 40429980›Full record

ArticleInternational journal of molecular sciences2025

Single-Cell Transcriptomic Profiling Reveals Regional Differences in the Prefrontal and Entorhinal Cortex of Alzheimer's Disease Brain.

Rui-Ze Niu, Wan-Qing Feng, Li Chen, Tian-Hao Bao

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

4 authors.

Rui-Ze NiuMental Health Center, Kunming Medical University, No. 733, Chuanjin Road, Panlong District, Kunming 650034, China.ORCID 0000-0002-7022-6430
Wan-Qing FengLaboratory Zoology Department, Kunming Medical University, Kunming 650034, China.
Li ChenMental Health Center, Kunming Medical University, No. 733, Chuanjin Road, Panlong District, Kunming 650034, China.
Tian-Hao BaoMental Health Center, Kunming Medical University, No. 733, Chuanjin Road, Panlong District, Kunming 650034, China.

Funding

Kunming Health Science and Technology Talent Training Project Thousand project, 2024-SW (Reserve)-72Yunnan Education Department Fund 2025J0246
6 · The paper itself

Abstract

Previous studies have largely overlooked cellular differential alterations across differentially affected brain regions in both disease mechanisms and therapeutic development of Alzheimer's disease (AD). This study aimed to compare the differential cellular and transcriptional changes in the prefrontal cortex (PFC) and entorhinal cortex (EC) of AD patients through an integrated single-cell transcriptomic analysis. We integrated three single-cell RNA sequencing (scRNA-seq) datasets comprising PFC and EC samples from AD patients and age-matched healthy controls. A total of 124,658 nuclei and 31 cell clusters were obtained and classified into eight major cell types, with EC exhibiting much more pronounced transcriptional alterations than PFC. Through network analysis, we pinpointed hub regulatory genes that form interconnected networks driving AD pathogenesis, findings validated by RT-qPCR showing more pronounced expression changes in EC versus PFC of AD mice. Moreover, dysregulation of the LINC01099-associated regulatory networks in the PFC and EC, showing correlation with AD progression, may present new therapeutic targets for AD. Together, these results suggest that effective AD biomarkers and therapeutic strategies may require simultaneous, precise targeting of specific cell populations across multiple brain regions.

Indexed as

Alzheimer DiseaseEntorhinal CortexGene Expression ProfilingPrefrontal CortexSingle-Cell AnalysisTranscriptomeAgedAnimalsFemaleGene Regulatory NetworksHumansMaleMiceRNA, Long NoncodingRNA, Long NoncodingAlzheimer’s diseasecellular regulatory networkentorhinal cortexprefrontal cortexsingle-cell transcriptome sequencing

Identifiers

PMID40429980
PMCPMC12112128

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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.