Evidence map›Paper›PMID 40092369›Full record

ArticleBrain communications2025

Unraveling the role of proteins in dementia: insights from two UK cohorts with causal evidence.

Jessica Gong, Dylan M Williams, Shaun Scholes, Sarah Assaad, Feifei Bu, Shabina Hayat, Paola Zaninotto, Andrew Steptoe

Abstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jessica GongDepartment of Epidemiology and Public Health, University College London, London WC1E 7HB, UK.ORCID https://orcid.org/0000-0001-6027-7640
Dylan M WilliamsMRC Unit for Lifelong Health & Ageing, University College London, London WC1E 7HB, UK.
Shaun ScholesDepartment of Epidemiology and Public Health, University College London, London WC1E 7HB, UK.
Sarah AssaadDepartment of Epidemiology and Public Health, University College London, London WC1E 7HB, UK.
Feifei BuDepartment of Behavioural Science and Health, University College London, London WC1E 7HB, UK.ORCID https://orcid.org/0000-0003-2060-3768
Shabina HayatDepartment of Epidemiology and Public Health, University College London, London WC1E 7HB, UK.
Paola ZaninottoDepartment of Epidemiology and Public Health, University College London, London WC1E 7HB, UK.ORCID https://orcid.org/0000-0003-3036-0499
Andrew SteptoeDepartment of Behavioural Science and Health, University College London, London WC1E 7HB, UK.ORCID https://orcid.org/0000-0001-7808-4943

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
NIA NIH HHS R01 AG017644
6 · The paper itself

Abstract

Population-based proteomics offers a groundbreaking avenue to predict future disease risks, enhance our understanding of disease mechanisms, and discover novel therapeutic targets and biomarkers. The role of plasma proteins in dementia, however, requires further exploration. This study investigated 276 protein-dementia associations in 229 incident all-cause dementia, 89 Alzheimer's disease, and 41 vascular dementia among 3249 participants (55% women, 97.2% white ethnicity) from the English Longitudinal Study of Ageing (ELSA) over a median 9.8-year follow-up. We used Cox proportional hazard regression for the analysis. Receiver operating characteristic analyses were conducted to assess the precision of the identified proteins from the fully adjusted Cox regression models in predicting incident all-cause dementia, both individually and in combination with demographic predictors,

Indexed as

dementiaELSAMendelian randomizationproteomicsUK biobank

Identifiers

PMID40092369
PMCPMC11906402

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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.