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Record W3101637373 · doi:10.1038/s41467-020-19473-7

Concordant peripheral lipidome signatures in two large clinical studies of Alzheimer’s disease

2020· article· en· W3101637373 on OpenAlexfundno aff
Kevin Huynh, Wei Ling Florence Lim, Corey Giles, Kaushala S. Jayawardana, Agus Salim, Natalie A. Mellett, Alexander Smith, Gavriel Olshansky, Brian G. Drew, Pratishtha Chatterjee, Ian Martins, Simon M. Laws, Ashley I. Bush, Christopher C. Rowe, Victor L. Villemagne, David Ames, Colin L. Masters, Matthias Arnold, Kwangsik Nho, Andrew J. Saykin, Rebecca Baillie, Xianlin Han, Rima Kaddurah‐Daouk, Ralph N. Martins, Peter J. Meikle

Bibliographic record

VenueNature Communications · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolomics and Mass Spectrometry Studies
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchQatar National Research FundGenentechNational Institutes of HealthU.S. National Library of MedicineIXICOH. Lundbeck A/SNational Cancer InstituteServierDementia AustraliaEisaiAustralian GovernmentF. Hoffmann-La RocheUniversity of Southern CaliforniaPfizerBioClinicaBiogenDementia Collaborative Research Centres, AustraliaEdith Cowan UniversityEli Lilly and CompanyBristol-Myers SquibbFoundation for the National Institutes of HealthFonds National de la Recherche LuxembourgMedical Research CouncilMeso Scale DiagnosticsAlzheimer's Disease Neuroimaging InitiativeState Government of VictoriaNovartis Pharmaceuticals CorporationScience and Industry Endowment FundAlzheimer's AssociationNational Institute on AgingCommonwealth Scientific and Industrial Research Organisation
KeywordsLipidomeLipidomicsSphingolipidLipid metabolismDiseaseComputational biologyMonoacylglycerol lipaseMetabolomicsBiologyBioinformaticsMedicineBiochemistryInternal medicineEndocannabinoid system

Abstract

fetched live from OpenAlex

Abstract Changes to lipid metabolism are tightly associated with the onset and pathology of Alzheimer’s disease (AD). Lipids are complex molecules comprising many isomeric and isobaric species, necessitating detailed analysis to enable interpretation of biological significance. Our expanded targeted lipidomics platform (569 species across 32 classes) allows for detailed lipid separation and characterisation. In this study we examined peripheral samples of two cohorts (AIBL, n = 1112 and ADNI, n = 800). We are able to identify concordant peripheral signatures associated with prevalent AD arising from lipid pathways including; ether lipids, sphingolipids (notably GM 3 gangliosides) and lipid classes previously associated with cardiometabolic disease (phosphatidylethanolamine and triglycerides). We subsequently identified similar lipid signatures in both cohorts with future disease. Lastly, we developed multivariate lipid models that improved classification and prediction. Our results provide a holistic view between the lipidome and AD using a comprehensive approach, providing targets for further mechanistic investigation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.671
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.069
GPT teacher head0.418
Teacher spread0.350 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations167
Published2020
Admission routes1
Has abstractyes

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