Evidence map›Paper›PMID 42316310›Full record

ArticleAlzheimer's research & therapy2026

Associations of plasma biomarkers of Alzheimer's disease pathology with modifiable risk factors and cognitive and functional outcomes: evidence from cross-sectional prediction and latent path analyses in the Bio-Hermes-001 cohort.

Megan Kirk, Joseph Kwon, Kalliopi Mavromati, Adam Gordon-Boyle, Kamaldeep Bhui, Ivan Koychev, Sarah Bauermeister, Apostolos Tsiachristas

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Article in Alzheimer's research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

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.

Megan KirkNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, England, OX2 6GG, UK. Megan.kirkchang@psych.ox.ac.uk.
Joseph KwonNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, England, OX2 6GG, UK.
Kalliopi MavromatiSchool of Cardiovascular and Metabolic Health, University of Glasgow, University Avenue, Glasgow, Scotland, G12 8QQ, UK.
Adam Gordon-BoyleMedical Sciences Division, University of Oxford, John Radcliffe Hospital, Headly Way, Headington, Oxford, England, OX3 9DU, UK.
Kamaldeep BhuiNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, England, OX2 6GG, UK.
Ivan KoychevDepartment of Psychiatry, Metabolic Psychiatry and Behavioural Medicine, University of Oxford, Warneford Hospital, Warneford Lane, Oxford, England, OX3 7J3, UK.
Sarah BauermeisterDepartment of Psychiatry, Metabolic Psychiatry and Behavioural Medicine, University of Oxford, Warneford Hospital, Warneford Lane, Oxford, England, OX3 7J3, UK.
Apostolos TsiachristasNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, England, OX2 6GG, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPlasma biomarkers of Alzheimer's Disease and Related Dementias (ADRD) pathology may help clarify associations between modifiable risk factors (MRFs) and cognitive and functional impairment.

methodsCross-sectional data from 1002 adults (mean age 72.0 ± 6.7) enrolled in the Bio-Hermes-001 study were analysed. First, block regression models assessed the added predictive value of MRFs and ADRD plasma biomarkers on cognitive (Mini-Mental State Examination, [MMSE]) and functional outcomes (Functional Activities Questionnaire, [FAQ]), beyond MRFs alone. Second, latent path analysis (LPA) examined potential pathways linking MRFs, ADRD biomarkers, and cognition and functional outcomes.

resultsADRD biomarkers significantly improved prediction models for MMSE (ΔR DISCUSSION: ADRD biomarkers are relevant to pathways linking MRFs with cognitive and functional outcomes and have potential for risk stratification and prevention research. Longitudinal studies are needed to determine temporal relationships and clarify potential causal mechanisms.

Indexed as

Alzheimer DiseaseAgedAged, 80 and overBiomarkersCognitionCohort StudiesCross-Sectional StudiesFemaleHumansMaleMental Status and Dementia TestsNeuropsychological TestsRisk FactorsBiomarkersAlzheimer’s DiseaseBlood biomarkersBody mass indexCognitive impairmentDementiaDepressionFunctional declineLatent path analysisNeurodegeneration

Identifiers

PMID42316310
PMCPMC13445916

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