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Lipidomic signatures reveal biomarkers of mild cognitive impairment
Jayashankar Jayaprakash, Siddabasave Gowda B. Gowda, Divyavani Gowda, Hariom Yadav, Shalini Jain, Amanda Smith, Ambuj Kumar, Corinne A. Labyak et al.. Translational Psychiatry, 2026-02-16
Topic: Risk, prevention and care in population studies
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.
Key findings
- 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.
Why it matters
This lipidomic study found differences in lipids from saliva, plasma, and feces between people with mild cognitive impairment and healthy controls, identifying candidate biomarkers. It is about biomarker discovery and does not show that targeting these lipids treats, cures, or prevents Alzheimer's disease.
Study details
- Study designlongitudinal study
- Evidence strengthModerate
How this study scored 45/100
Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Translational Psychiatry) |
| Journal's citation record | 2 / 4 | Translational Psychiatry: journal h-index 180 (OpenAlex, 2026-10-29) |
| Study design | 7 / 12 | A longitudinal study following the same people over time |
| Strength of evidence | 3 / 5 | Rated “moderate” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 5 / 5 | 2026 — within 1 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 1 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.5 citations a year over 2 year(s) since 2026 |
| Impact for its field and year | 2 / 6 | Cited 1.9× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 0 / 4 | Cited 1 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Shu‐Ping Hui: h-index 31 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | University of South Florida: institution h-index 806 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 41692848) |
| Free to read | 2 / 2 | Free to read |
| Total | 45 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1038/s41398-026-03893-y
- PubMed: 41692848
- Original source →
- Free full text: Translational Psychiatry →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
APA 7th
Jayaprakash, J., Gowda, S. G. B., Gowda, D., Yadav, H., Jain, S., Smith, A., et al. (2026). Lipidomic signatures reveal biomarkers of mild cognitive impairment. Translational Psychiatry. https://doi.org/10.1038/s41398-026-03893-y
Vancouver
Jayaprakash J, Gowda SGB, Gowda D, Yadav H, Jain S, Smith A, et al. Lipidomic signatures reveal biomarkers of mild cognitive impairment. Translational Psychiatry. 2026. doi:10.1038/s41398-026-03893-y. PMID: 41692848.
BibTeX
@article{jayaprakash2026-41692848,
author = {Jayaprakash, Jayashankar and Gowda, Siddabasave Gowda B. and Gowda, Divyavani and Yadav, Hariom and Jain, Shalini and Smith, Amanda and Kumar, Ambuj and Labyak, Corinne A. and others},
title = {{Lipidomic signatures reveal biomarkers of mild cognitive impairment}},
journal = {Translational Psychiatry},
year = {2026},
doi = {10.1038/s41398-026-03893-y},
pmid = {41692848},
url = {https://doi.org/10.1038/s41398-026-03893-y}
}
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Referenced by this study and also in the alzhub library, so you can read them here.
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