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Lipidomic signatures reveal biomarkers of mild cognitive impairment
by
B. Gowda, Siddabasave Gowda
, Hui, Shu-Ping
, Jayaprakash, Jayashankar
, Gowda, Divyavani
, Yadav, Hariom
, Jain, Shalini
in
101/58
/ 631/378
/ 692/53/2421
/ Aged
/ Alzheimer's disease
/ Behavioral Sciences
/ Biological Psychology
/ Biomarkers
/ Biomarkers - metabolism
/ Body mass index
/ Case-Control Studies
/ Chromatography
/ Chromatography, High Pressure Liquid
/ Cognitive ability
/ Cognitive Dysfunction - diagnosis
/ Cognitive Dysfunction - metabolism
/ Dementia
/ Fatty Acids - metabolism
/ Fatty Acids, Unsaturated - metabolism
/ Feces
/ Feces - chemistry
/ Female
/ Fourier transforms
/ Gas flow
/ Homeostasis
/ Humans
/ Lipidomics
/ Lipids
/ Male
/ Mass spectrometry
/ Medicine
/ Medicine & Public Health
/ Mild cognitive impairment
/ Neurosciences
/ Older people
/ Pharmacotherapy
/ Plasma
/ Polyunsaturated fatty acids
/ Psychiatry
/ Scientific imaging
/ Triglycerides - metabolism
2026
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Lipidomic signatures reveal biomarkers of mild cognitive impairment
by
B. Gowda, Siddabasave Gowda
, Hui, Shu-Ping
, Jayaprakash, Jayashankar
, Gowda, Divyavani
, Yadav, Hariom
, Jain, Shalini
in
101/58
/ 631/378
/ 692/53/2421
/ Aged
/ Alzheimer's disease
/ Behavioral Sciences
/ Biological Psychology
/ Biomarkers
/ Biomarkers - metabolism
/ Body mass index
/ Case-Control Studies
/ Chromatography
/ Chromatography, High Pressure Liquid
/ Cognitive ability
/ Cognitive Dysfunction - diagnosis
/ Cognitive Dysfunction - metabolism
/ Dementia
/ Fatty Acids - metabolism
/ Fatty Acids, Unsaturated - metabolism
/ Feces
/ Feces - chemistry
/ Female
/ Fourier transforms
/ Gas flow
/ Homeostasis
/ Humans
/ Lipidomics
/ Lipids
/ Male
/ Mass spectrometry
/ Medicine
/ Medicine & Public Health
/ Mild cognitive impairment
/ Neurosciences
/ Older people
/ Pharmacotherapy
/ Plasma
/ Polyunsaturated fatty acids
/ Psychiatry
/ Scientific imaging
/ Triglycerides - metabolism
2026
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Lipidomic signatures reveal biomarkers of mild cognitive impairment
by
B. Gowda, Siddabasave Gowda
, Hui, Shu-Ping
, Jayaprakash, Jayashankar
, Gowda, Divyavani
, Yadav, Hariom
, Jain, Shalini
in
101/58
/ 631/378
/ 692/53/2421
/ Aged
/ Alzheimer's disease
/ Behavioral Sciences
/ Biological Psychology
/ Biomarkers
/ Biomarkers - metabolism
/ Body mass index
/ Case-Control Studies
/ Chromatography
/ Chromatography, High Pressure Liquid
/ Cognitive ability
/ Cognitive Dysfunction - diagnosis
/ Cognitive Dysfunction - metabolism
/ Dementia
/ Fatty Acids - metabolism
/ Fatty Acids, Unsaturated - metabolism
/ Feces
/ Feces - chemistry
/ Female
/ Fourier transforms
/ Gas flow
/ Homeostasis
/ Humans
/ Lipidomics
/ Lipids
/ Male
/ Mass spectrometry
/ Medicine
/ Medicine & Public Health
/ Mild cognitive impairment
/ Neurosciences
/ Older people
/ Pharmacotherapy
/ Plasma
/ Polyunsaturated fatty acids
/ Psychiatry
/ Scientific imaging
/ Triglycerides - metabolism
2026
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Lipidomic signatures reveal biomarkers of mild cognitive impairment
Journal Article
Lipidomic signatures reveal biomarkers of mild cognitive impairment
2026
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Overview
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.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
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