ArticleTranslational psychiatry2015
Plasma lipidomics analysis finds long chain cholesteryl esters to be associated with Alzheimer's disease.
Article in Translational psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 4 of them syntheses that pooled 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
79 citing papers in PubMed, 4 syntheses or guidelines pooled it, 134 citations in OpenAlex.
- Lipidomes in Cadaveric Decomposition and Determination of the Postmortem Interval: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- A metabolomic signature of the APOE2 allele.GeroScience · 2023Pooled it
- Lipid Metabolism in the Development and Progression of Vascular Cognitive Impairment: A Systematic Review.Frontiers in neurology · 2021Pooled it
- Metabolomics in the Development and Progression of Dementia: A Systematic Review.Frontiers in neuroscience · 2019Pooled it
- Reducing CETP activity prevents memory decline in an Alzheimer's disease mouse model.EMBO molecular medicine · 2026Article
- Lipidomic and sterolomic profiles of different brain regions in the mouse model of Alzheimer's disease.Neural regeneration research · 2026Article
- Plasma lipid trajectories improve prediction of future Alzheimer's disease.Journal of Alzheimer's disease : JAD · 2026Article
- Longitudinal Sparse Single-Omics Factor Analysis for High-Dimensional Blood Biomarkers in Alzheimer's Disease.Statistics in medicine · 2026Article
- Alzheimer's disease: from molecular pathways to therapies.Molecular biomedicine · 2026Review
- Translational lipidomics reveals BMP and its precursor LPG as biomarkers for CLN5 Batten disease.bioRxiv : the preprint server for biology · 2026Article
- Plasma complex lipids in relation to cortical thickness and brain volumes: results from the population-based Rhineland study.Lipids in health and disease · 2026Article
- Article
- Lipidomic signatures reveal biomarkers of mild cognitive impairment.Translational psychiatry · 2026Article
- Plasma lipidomic fingerprinting enables high-accuracy biomarker discovery for Alzheimer's disease: a targeted LC-MRM/MS approach.GeroScience · 2026Article
- Joint modeling of high-dimensional longitudinal data and survival using supervised low-rank tensor decomposition.Biostatistics (Oxford, England) · 2026Article
- Comprehensive Lipidomic Analysis of Recombinant Protein-Producing CHO Cell Cultures: Insights for Media and Process Development.Mass spectrometry (Tokyo, Japan) · 2026Article
- Exploring the skin as an open window onto neurodegenerative diseases.Translational neurodegeneration · 2025Review
- Integrated plasma and red blood cell membrane lipidomics analysis unveils novel biomarker panel for Alzheimer's disease.Alzheimer's research & therapy · 2025Article
- Longitudinal lipidomic profiles of left ventricular mass and left ventricular hypertrophy in American Indians.JCI insight · 2024Article
- Cholesterol profiling reveals 7β-hydroxycholesterol as a pathologically relevant peripheral biomarker of Alzheimer's disease.Psychiatry and clinical neurosciences · 2024Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 9 institutions in 7 countries.
Funding
Abstract
There is an urgent need for the identification of Alzheimer's disease (AD) biomarkers. Studies have now suggested the promising use of associations with blood metabolites as functional intermediate phenotypes in biomedical and pharmaceutical research. The aim of this study was to use lipidomics to identify a battery of plasma metabolite molecules that could predict AD patients from controls. We performed a comprehensive untargeted lipidomic analysis, using ultra-performance liquid chromatography/mass spectrometry on plasma samples from 35 AD patients, 40 elderly controls and 48 individuals with mild cognitive impairment (MCI) and used multivariate analysis methods to identify metabolites associated with AD status. A combination of 10 metabolites could discriminate AD patients from controls with 79.2% accuracy (81.8% sensitivity, 76.9% specificity and an area under curve of 0.792) in a novel test set. Six of the metabolites were identified as long chain cholesteryl esters (ChEs) and were reduced in AD (ChE 32:0, odds ratio (OR)=0.237, 95% confidence interval (CI)=0.10-0.48, P=4.19E-04; ChE 34:0, OR=0.152, 95% CI=0.05-0.37, P=2.90E-04; ChE 34:6, OR=0.126, 95% CI=0.03-0.35, P=5.40E-04; ChE 32:4, OR=0.056, 95% CI=0.01-0.24, P=6.56E-04 and ChE 33:6, OR=0.205, 95% CI=0.06-0.50, P=2.21E-03, per (log2) metabolite unit). The levels of these metabolites followed the trend control>MCI>AD. We, additionally, found no association between cholesterol, the precursor of ChE and AD. This study identified new ChE molecules, involved in cholesterol metabolism, implicated in AD, which may help identify new therapeutic targets; although, these findings need to be replicated in larger well-phenotyped cohorts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.