Evidence map›Paper›PMID 41984490›Full record

ArticleJournal of Alzheimer's disease : JAD2026

Systematic identification of cell-cell interactions associated with the severity of patients with Alzheimer's disease.

Zijian Zhang, Naail Chowdhury, Jing Dong, Lang Wu, Chao Cheng

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Zijian ZhangSection of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Naail ChowdhurySection of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Jing DongSection of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Lang WuDepartment of Interdisciplinary Oncology and Department of Genetics, LSU-LCMC Health Cancer Center, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Chao ChengSection of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-5002-3417

Funding

An innovative integrated computational framework using gene signatures for patient stratificationR01CA269764 · NCI · BAYLOR COLLEGE OF MEDICINE · PI CHAO CHENG · 2023 to 2026
$1.8M
High Memory High-Performance Computer Cluster for Biomedical ResearchS10OD032185 · OD · BAYLOR COLLEGE OF MEDICINE · PI HILSENBECK, SUSAN G. · 2022 to 2022
$596k
NCI NIH HHS R01 CA269764NIH HHS S10 OD032185
6 · The paper itself

Abstract

BackgroundAlzheimer's disease (AD) is a complex, multifactorial neurodegenerative disorder involving dysfunction across multiple brain regions. While accumulating evidence has implicated the roles of diverse cell types, including neurons, glia, and vascular cells in AD pathogenesis, it is still poorly understood how cell type interactions drive or respond to the disease progression and severity.ObjectiveThis study aimed to systematically characterize cell-type-specific alterations and intercellular communication changes associated with AD progression.MethodsWe leveraged the transcriptome profiling and a previously established statistical framework to present a comprehensive mapping of the cellular interaction landscape in the human brain of AD.ResultsWe identified a wide array of AD-associated cell-cell interactions (CCIs), including not only between the non-neuronal and neuron cells, but also among different neuron subtypes. These patterns were further supported by cell-type signature scoring. Moreover, due to the flexibility of the framework, we further examined CCIs associated with clinical dementia rating across multiple cortical regions. Our findings revealed that the temporal and frontal cortices showed a stronger correlation with dementia severity. However, the subregions of the temporal area show specific dementia-associated CCIs, especially between the inferior and middle temporal gyrus.ConclusionsOur work advances our understanding of the cellular microenvironment in AD, offering novel insights into how intercellular interactions shape disease trajectory and cognitive outcomes.

Indexed as

Alzheimer DiseaseBrainCell CommunicationAgedDisease ProgressionFemaleGene Expression ProfilingHumansMaleNeurogliaNeuronsSeverity of Illness IndexAlzheimer's diseasebiomarkerscell-cell interactionstranscriptomes

Identifiers

PMID41984490
PMCPMC13219764

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.