Evidence map›Paper›PMID 41720536›Full record

ArticleMethods in enzymology2026

Mass spectrometry-based lipid analysis in NPC1 disease: Methods for phosphoinositide quantification, lipid imaging, and myelin lipid profiling.

Koralege C Pathmasiri, Stephanie M Cologna

Abstract read
In one paragraph

Article in Methods in enzymology, 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

2 authors.

Koralege C PathmasiriDepartment of Chemistry, University of Illinois Chicago, Chicago, IL, United States.
Stephanie M ColognaDepartment of Chemistry, University of Illinois Chicago, Chicago, IL, United States; Laboratory for Integrative Neuroscience, University of Illinois Chicago, Chicago, IL, United States. Electronic address: cologna@uic.edu.

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

Loss of NPC cholesterol transporter 1 protein function results in severe lipid dysregulation in multiple vital organs, including the brain, in Niemann-Pick Type C1 (NPC1) disease. Investigation of lipid changes and lipid metabolism disruptions in NPC1 is critical to elucidating the disease mechanisms driving the pathophysiology, identifying potential biomarkers, and guiding therapeutic strategies. One such example is phosphoinositides, which are key lipids involved in multiple signaling pathways relevant to NPC1 that are challenging to study due to their low abundance and detection difficulty. In this chapter, we present a detailed phosphoinositide analysis protocol using mass spectrometry. When studying lipids, spatial information is also important because it reveals distribution within the tissue, which can provide insights into functional roles and disease-related alterations. MALDI-MS lipid imaging is a powerful tool for investigating the spatial distribution of lipids. Herein, we also discuss a protocol for lipid imaging using MALDI-MSI, along with key precautions and troubleshooting tips. Finally, we present a myelin isolation protocol integrated with LC-MS lipidomics to investigate the myelin lipidome in tissues such as the brain, as myelin lipid composition is crucial for maintaining neuronal function and is often disrupted in neurodegenerative diseases like NPC1, including the investigation of phosphoinositides.

Indexed as

LipidomicsLipidsMyelin SheathNiemann-Pick Disease, Type CPhosphatidylinositolsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnimalsBrainHumansIntracellular Signaling Peptides and ProteinsLiquid Chromatography-Mass SpectrometryMiceNiemann-Pick C1 ProteinIntracellular Signaling Peptides and ProteinsLipidsNiemann-Pick C1 ProteinNpc1 protein, mousePhosphatidylinositolsChromatographyImagingLipidomicsMass spectrometryNiemann-Pick Type C

Identifiers

PMID41720536
PMCPMC13220709

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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 Socratic graph.