Evidence map›Paper›PMID 42856764›Full record

ArticleFrontiers in pharmacology2026

APOE4 differentially alters lipid composition in extracellular vesicles from hiPSC-derived neurons of Alzheimer's disease patients.

Marios G Krokidis, Ram Sagar, Maja Mustapic, Maria-Christina Papatheodorou, Themis P Exarchos, Constantine G Lyketsos, Panagiotis Vlamos, Dimitrios Kapogiannis, Vasiliki Mahairaki

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

9 authors.

Marios G KrokidisBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.
Ram SagarDepartment of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Maja MustapicLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States.
Maria-Christina PapatheodorouBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.
Themis P ExarchosBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.
Constantine G LyketsosThe Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Panagiotis VlamosBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.
Dimitrios KapogiannisLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States.
Vasiliki MahairakiDepartment of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2020 to 2026
$29.3M
Alzheimer's disease-specific extracellular vesicles: from pathology to novel biomarker discoveryRF1AG083801 · NIA · JOHNS HOPKINS UNIVERSITY · PI MACHAIRAKI, VASILIKI · 2023 to 2023
$2.4M
NIA NIH HHS P30 AG066507NIA NIH HHS RF1 AG083801
6 · The paper itself

Abstract

Background: The Apolipoprotein E4 (APOE4) is the most significant genetic risk factor for late-onset Alzheimer's disease (AD), but the cellular mechanisms by which it increases vulnerability remain poorly understood. Lipids play a crucial role in membrane organization, vesicle trafficking, and inflammatory signaling in the brain. Increasing evidence suggests that changes in lipid metabolism might serve as a connection between genetic risk and neurodegeneration. Extracellular vesicles (EVs) reflect the lipidomic composition of their parent cell offering a window into lipidomic alterations that may be tracked in living humans over time. Given high variability in human samples, we sought to define APOE4-related lipidomic EV signatures in a controlled human cellular system. Methods: We studied EVs secreted by four replicates of human-induced pluripotent stem cell (iPSC)-derived glutamatergic neurons from two healthy individuals (APOE2/E3 and APOE4/4) and two patients with AD (APOE3/3 and APOE4/4). Targeted lipidomics enabled quantitative profiling of hundreds of individual lipid species across major lipid classes. Univariate and multivariate analyses were applied to identify lipid alterations associated with APOE genotype and AD status. Results: APOE4 was associated with differences in lipid composition in neuronal EVs from both healthy and AD donors, suggesting that APOE4 influences EV lipid composition regardless of AD. Additionally, APOE4/4 carriers with AD exhibited clear, species-specific lipid imbalances. Lower levels of ganglioside GM3 and higher of phosphatidylserine emerged as consistent contributors to the APOE4-associated AD lipid signature, alongside alterations in dihydrosphingomyelin and phosphatidylinositol species linked to membrane integrity, endolysosomal function, and inflammatory pathways. These lipid species were among the strongest variables distinguishing healthy and AD APOE4/4 samples in multivariate analyses. Conclusion: These findings specify lipidomic changes in AD related to the APOE4 genotype, and support a model by which APOE4 creates a lipid profile that becomes selectively dysregulated in AD. By identifying specific lipid species associated with APOE4 and AD, this work provides further evidence that distinct lipidomic signatures are associated with both APOE4 and AD. These findings may contribute to the identification of lipid-based biomarkers and support future investigations into genotype-informed therapeutic strategies, although validation in larger, independent cohorts is required.

Indexed as

Alzheimer’s diseaseextracellular vesiclesinduced pluripotent stem cellslipid profileneurodegenerative diseasesplasma biomarkers

Identifiers

PMID42856764
PMCPMC13649956

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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.