Evidence map›Paper›PMID 38667317›Full record

ArticleCells2024

Lipidomic Analysis of Plasma Extracellular Vesicles Derived from Alzheimer's Disease Patients.

Marios G Krokidis, Krishna A Pucha, Maja Mustapic, Themis P Exarchos, Panagiotis Vlamos, Dimitrios Kapogiannis

Abstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Extracellular Vesicles in Tauopathies: Mechanisms and Applications.International journal of molecular sciences · 2026
    Review
  10. Article
  11. 80 years of extracellular vesicles: from discovery to clinical translation.Extracellular vesicles and circulating nucleic acids · 2026
    Review
  12. Article
  13. Article
  14. Review
  15. p.N370SInternational journal of molecular sciences · 2025
    Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
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

6 authors.

Marios G KrokidisLaboratory of Bioinformatics and Human Electrophysiology, Department of Informatics, Ionian University, 49100 Corfu, Greece.
Krishna A PuchaLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health (NIA/NIH), Baltimore, MD 21224, USA.
Maja MustapicLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health (NIA/NIH), Baltimore, MD 21224, USA.
Themis P ExarchosLaboratory of Bioinformatics and Human Electrophysiology, Department of Informatics, Ionian University, 49100 Corfu, Greece.
Panagiotis VlamosLaboratory of Bioinformatics and Human Electrophysiology, Department of Informatics, Ionian University, 49100 Corfu, Greece.ORCID 0000-0003-0053-7847
Dimitrios KapogiannisLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health (NIA/NIH), Baltimore, MD 21224, USA.ORCID 0000-0003-2181-3118

Funding

Studies in Dementia and Neurodegenerative DiseasesZIAAG000975 · NIA · NATIONAL INSTITUTE ON AGING · PI KAPOGIANNIS, DIMITRIOS · 2009 to 2025
$31.5M
Extraceullar Vesicle Biomarkers for Prediction of Cognitive Decline, Ab and TAU Accumulation, and atrophy in Preclinical Alzheimer's DiseaseZIAAG000003 · NIA · NATIONAL INSTITUTE ON AGING · PI KAPOGIANNIS, DIMITRIOS · 2022 to 2025
$4.4M
6 · The paper itself

Abstract

Analysis of blood-based indicators of brain health could provide an understanding of early disease mechanisms and pinpoint possible intervention strategies. By examining lipid profiles in extracellular vesicles (EVs), secreted particles from all cells, including astrocytes and neurons, and circulating in clinical samples, important insights regarding the brain's composition can be gained. Herein, a targeted lipidomic analysis was carried out in EVs derived from plasma samples after removal of lipoproteins from individuals with Alzheimer's disease (AD) and healthy controls. Differences were observed for selected lipid species of glycerolipids (GLs), glycerophospholipids (GPLs), lysophospholipids (LPLs) and sphingolipids (SLs) across three distinct EV subpopulations (all-cell origin, derived by immunocapture of CD9, CD81 and CD63; neuronal origin, derived by immunocapture of L1CAM; and astrocytic origin, derived by immunocapture of GLAST). The findings provide new insights into the lipid composition of EVs isolated from plasma samples regarding specific lipid families (MG, DG, Cer, PA, PC, PE, PI, LPI, LPE, LPC), as well as differences between AD and control individuals. This study emphasizes the crucial role of plasma EV lipidomics analysis as a comprehensive approach for identifying biomarkers and biological targets in AD and related disorders, facilitating early diagnosis and potentially informing novel interventions.

Indexed as

Alzheimer DiseaseExtracellular VesiclesLipidomicsAgedAged, 80 and overAstrocytesBiomarkersCase-Control StudiesFemaleHumansLipidsMaleMiddle AgedBiomarkersLipidsAlzheimer’s diseasebiomarkersexosomesextracellular vesicleslipid profileneurodegenerative diseases

Identifiers

PMID38667317
PMCPMC11049154

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Registered trials

None linked

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.