Lipidomic signatures reveal biomarkers of mild cognitive impairment

Mild cognitive impairment (MCI) is an early stage in the progression toward dementia. Lipids are central to neurodegeneration, yet the biomarker potential of lipidomics from saliva, plasma, and feces remains underexplored. As part of the Microbiome in Aging Gut and Brain (MiaGB) consortium, saliva, plasma, and fecal samples were collected from older adults with MCI and healthy controls. Samples were analyzed by high-performance liquid chromatography coupled with high-resolution mass spectrometry (LC/MS), to profile lipidomic alterations and identify candidate biomarkers. Lipidomic profiling annotated over 200 molecular species spanning five major lipid classes. Compared with controls, MCI patients exhibited increased oxidized triacylglycerols (oxTGs) in saliva, reduced cholesteryl linoleate (CE 18:2) in plasma, and decreased fatty acid esters of hydroxy fatty acids (FAHFAs) in feces. Receiver operating characteristic (ROC) analysis identified α-linolenic acid (FA 18:3), docosapentaenoic acid (FA 22:5), and CE 18:2 as discriminatory metabolites with notable diagnostic performance. Moreover, elevated fecal triacylglycerols containing medium-chain fatty acids (TG-MCFAs) were observed in MCI, suggesting impaired lipid absorption or altered metabolism. This multi-sample lipidomics strategy highlights TG-MCFAs as fecal biomarkers for MCI detection, supporting further mechanistic and longitudinal validation.

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Publication Details

Journal
Translational Psychiatry
Published
2026-02-16
DOI
https://doi.org/10.1038/s41398-026-03893-y
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
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article

Lipidomic signatures reveal biomarkers of mild cognitive impairment

Corinne Labyak, Marc Agronin, Cynthia Williams, Andrea Yukie Arikawa et al.
Translational Psychiatry
Metabolomics and Mass Spectrometry Studies
article

Lipidomic signatures reveal biomarkers of mild cognitive impairment

Corinne Labyak, Marc Agronin, Cynthia Williams, Andrea Yukie Arikawa, Siddabasave Gowda B. Gowda, Shu-Ping Hui, Jayashankar Jayaprakash, Ambuj Kumar, Amanda Smith, Peter J. Holland, Michal Masternak, Hariom Yadav, Divyavani Gowda, Shalini Jain
article en

Abstract

Mild cognitive impairment (MCI) is an early stage in the progression toward dementia. Lipids are central to neurodegeneration, yet the biomarker potential of lipidomics from saliva, plasma, and feces remains underexplored. As part of the Microbiome in Aging Gut and Brain (MiaGB) consortium, saliva, plasma, and fecal samples were collected from older adults with MCI and healthy controls. Samples were analyzed by high-performance liquid chromatography coupled with high-resolution mass spectrometry (LC/MS), to profile lipidomic alterations and identify candidate biomarkers. Lipidomic profiling annotated over 200 molecular species spanning five major lipid classes. Compared with controls, MCI patients exhibited increased oxidized triacylglycerols (oxTGs) in saliva, reduced cholesteryl linoleate (CE 18:2) in plasma, and decreased fatty acid esters of hydroxy fatty acids (FAHFAs) in feces. Receiver operating characteristic (ROC) analysis identified α-linolenic acid (FA 18:3), docosapentaenoic acid (FA 22:5), and CE 18:2 as discriminatory metabolites with notable diagnostic performance. Moreover, elevated fecal triacylglycerols containing medium-chain fatty acids (TG-MCFAs) were observed in MCI, suggesting impaired lipid absorption or altered metabolism. This multi-sample lipidomics strategy highlights TG-MCFAs as fecal biomarkers for MCI detection, supporting further mechanistic and longitudinal validation.

Translational PsychiatryVol. 16(1)
Hokkaido University (JP), University of South Florida (US), APC Microbiome Institute (IE)
Reduced inequalities
Openalex Percentile: Top 55%
Metabolomics and Mass Spectrometry Studies
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