Evidence map›Paper›PMID 38365930›Full record

ArticleScientific reports2024

Life course plasma metabolomic signatures of genetic liability to Alzheimer's disease.

Hannah Compton, Madeleine L Smith, Caroline Bull, Roxanna Korologou-Linden, Yoav Ben-Shlomo, Joshua A Bell, Dylan M Williams, Emma L Anderson

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Plasma proteomics ofmedRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Hannah ComptonBristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Madeleine L SmithBristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Caroline BullBristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Roxanna Korologou-LindenBristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Yoav Ben-ShlomoBristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Joshua A BellBristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Dylan M WilliamsMRC Unit for Lifelong Health & Ageing at UCL, University College London, London, UK.
Emma L AndersonBristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK. emma.anderson@ucl.ac.uk.
University of Bristol · GBEmerson (United Kingdom) · GBMedical Research Council · GBMRC Unit for Lifelong Health and Ageing · GB

Funding

Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00032/1Medical Research Council MC_UU_12013/1Wellcome TrustWellcome Trust 215193/Z18/ZWellcome Trust 218495/Z/19/Z
6 · The paper itself

Abstract

Mechanisms through which most known Alzheimer's disease (AD) loci operate to increase AD risk remain unclear. Although Apolipoprotein E (APOE) is known to regulate lipid homeostasis, the effects of broader AD genetic liability on non-lipid metabolites remain unknown, and the earliest ages at which metabolic perturbations occur and how these change over time are yet to be elucidated. We examined the effects of AD genetic liability on the plasma metabolome across the life course. Using a reverse Mendelian randomization framework in two population-based cohorts [Avon Longitudinal Study of Parents and Children (ALSPAC, n = 5648) and UK Biobank (n ≤ 118,466)], we estimated the effects of genetic liability to AD on 229 plasma metabolites, at seven different life stages, spanning 8 to 73 years. We also compared the specific effects of APOE ε4 and APOE ε2 carriage on metabolites. In ALSPAC, AD genetic liability demonstrated the strongest positive associations with cholesterol-related traits, with similar magnitudes of association observed across all age groups including in childhood. In UK Biobank, the effect of AD liability on several lipid traits decreased with age. Fatty acid metabolites demonstrated positive associations with AD liability in both cohorts, though with smaller magnitudes than lipid traits. Sensitivity analyses indicated that observed effects are largely driven by the strongest AD instrument, APOE, with many contrasting effects observed on lipids and fatty acids for both ε4 and ε2 carriage. Our findings indicate pronounced effects of the ε4 and ε2 genetic variants on both pro- and anti-atherogenic lipid traits and sphingomyelins, which begin in childhood and either persist into later life or appear to change dynamically.

Indexed as

Alzheimer DiseaseApolipoprotein E4Apolipoproteins EChildGenotypeHumansLife Change EventsLongitudinal StudiesApolipoprotein E4Apolipoproteins EALSPACAlzheimer’s diseaseAPOEEpidemiologyMendelian randomizationMetabolismNMRPolygenic risk scoreUK Biobank

Identifiers

PMID38365930
PMCPMC10873397
OpenAlexW4391883913

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.