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Updated: Jan 18, 2026

Lipidomics and Transcriptomics in Neurological Diseases
Published on: March 18, 2022
Plasma lipidome dysregulation in frontotemporal dementia reveals shared, genotype-specific, and severity-linked
Yohannes A Ambaw1, Peter A Ljubenkov2, Shubham Singh1
1Cell Biology Program, Sloan Kettering Institute, New York, New York, USA.
Introduction:
Biomarkers are essential for monitoring the progression of frontotemporal dementia (FTD). Although dysregulated brain lipid metabolism, particularly sphingolipids enriched in the nervous system, is a key feature of neurodegeneration, plasma lipids remain underexplored as biomarkers compared to imaging and serum proteins.
Methods:
We examined plasma lipidomes using liquid chromatography-tandem mass spectrometry (LC-MS/MS) from individuals carrying pathogenic variants linked to autosomal dominant FTD (GRN, C9orf72, MAPT) and non-carriers.
Results:
FTD subjects exhibited increased plasma levels of gangliosides (GM3(d18:1_16:0), GM3(d18:1_24:1)), ceramide Cer(d18:1_23:0), and select polyunsaturated triacylglycerols. In contrast, phosphatidylethanolamine (PE(18:0_24:0) and sphingomyelin (SM(38:0) were reduced. Subtype-specific changes included elevated glucosylsphingosine (GlcSph(d18:1) in GRN carriers, reduced SM(34:1) in C9orf72, and decreased TG(16:0_18:1_20:3) in MAPT carriers. GM3(d18:1_16:0) was consistently elevated across all subtypes. Furthermore, the levels of these lipids correlated with disease severity.
Discussion:
Our findings suggest that specific plasma lipid changes, notably several sphingolipids, may be useful biomarkers for FTD disease or progression.
Highlights:
Plasma lipidomics reveals both shared and mutation-specific lipid alterations in frontotemporal dementia (FTD). Glucosylsphingosine is specifically elevated in FTD caused by GRN mutations and correlates with disease severity. The ganglioside GM3(d18:1_16:0) is consistently elevated across GRN, MAPT, and C9orf72 variants and correlates with disease severity. Plasma sphingolipids emerge as promising biomarkers for FTD diagnosis, subtype differentiation, and disease monitoring.
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