Evidence map›Paper›PMID 41273581›Full record

ArticleAdvances in experimental medicine and biology2026

Computational Exploration of Phospholipid Alterations in a Human Neuroblastoma Cell Model Exposed to Amyloid-Beta.

Maria-Christina P Papatheodorou, Marios G Krokidis, Themis P Exarchos

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Article in Advances in experimental medicine and biology, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Maria-Christina P PapatheodorouBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece. papatheodorou@ionio.gr.
Marios G KrokidisBioinformatics 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipidomics identifies and analyzes the composition of intact lipid molecules within biological systems. Techniques including mass spectrometry enhance lipid coverage; however, the loss of ion connectivity and the generation of large datasets complicate precise feature annotation. Given the complexity of lipidomic data, advanced computational methodologies are essential for precise analysis. Herein, we efficiently explored lipidome alterations in human neuroblastoma SK-N-SH cells exposed to amyloid-beta, a peptide that appears to play a crucial role in the pathology of Alzheimer's disease. The derived datasets were analyzed using the R programming language, employing tools such as lipidr for lipid species identification and significance and ggplot2 for data visualization. Our results revealed significant changes in phospholipid levels under amyloid-beta exposure with emphasis on PE 16:0-18:1, PC 18:2-16:1, and PC 20:2-18:0, highlighting the complex and multifaceted interactions of lipid markers in the pathophysiology of Alzheimer's disease and providing deeper insights into their potential roles in disease progression.

Indexed as

Amyloid beta-PeptidesLipidomicsNeuroblastomaPhospholipidsAlzheimer DiseaseCell Line, TumorHumansAmyloid beta-PeptidesPhospholipidsAmyloid betaBiocManagerData analysisLipidr libraryMass spectrometryPhospholipids

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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.