Evidence map›Paper›PMID 41318807›Full record

ArticleCommunications medicine2025

Plasma-based brain age as a potential biomarker for cognitive health and risk of brain-related disorders.

Biqi Wang, Huitong Ding, Derek Qi, Mayra S Tisminetzky, Joanne M Murabito, Honghuang Lin

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Biqi WangDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Huitong DingDepartment of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6495-3087
Derek QiDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Mayra S TisminetzkyDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Joanne M Murabito *The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0192-7516
Honghuang Lin *Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA. Honghuang.Lin@umassmed.edu.ORCID http://orcid.org/0000-0003-3043-3942

Funding

FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
Therapeutic target discovery in ADSP data via comprehensive whole-genome analysis incorporating ethnic diversity and systems approachesU01AG058589 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BOERWINKLE, ERIC A., DE JAGER, PHILIP L · 2018 to 2022
$11.1M
FRAMINGHAM HEART STUDY (FHS), TASK AREA B - PROTOCOL DEVELOPMENT AND BASIC EXAMINATION75N92025D00012 · NHLBI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LLOYD-JONES, DONALD · 2025 to 2025
$8.9M
Social and behavioral determinants of health and Alzheimer’s Disease: Cohort study of the US military veteran populationR01AG080670 · NIA · UNIVERSITY OF MASSACHUSETTS LOWELL · PI HONG YU · 2023 to 2026
$4.5M
Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approachesU01AG068221 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DESTEFANO, ANITA L, LIN, HONGHUANG · 2021 to 2024
$2.5M
Digital Cognitive Assessment of Preclinical Alzheimer's Disease and Related DementiasR01AG083735 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rhoda Au, Vijaya B. Kolachalama · 2024 to 2026
$2.4M
Sleep pathology and cardiac agingR21HL175584 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LIN, HONGHUANG, THOMAS, ROBERT JOSEPH · 2024 to 2025
$233k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS 75N92025D00012NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS R21 HL175584NIA NIH HHS R01 AG080670NIA NIH HHS R01 AG083735NIA NIH HHS U01 AG058589NIA NIH HHS U01 AG068221U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R21HL175584U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG083735
6 · The paper itself

Abstract

backgroundUnderstanding brain aging is essential for identifying early markers of cognitive decline. This study aimed to develop plasma-based biomarkers of brain aging and examine their associations with cognitive function.

methodsWe used data from 53,005 UK Biobank participants (2006-2010) with available Olink proteomics data (mean age 57 ± 8 years, 54% women). Protein levels were used to estimate brain age, organismal age, and conventional proteomic age using Least Absolute Shrinkage and Selection Operator (LASSO) regression. We assessed the relationships between these biological ages and cognitive function using multivariable-adjusted linear regression models, and their association with incident Alzheimer's disease (AD) and stroke using Cox proportional hazards models. Findings were validated in 2066 participants from the Framingham Heart Study (FHS) Offspring cohort (Exam 8, 2002-2005, mean age 67 ± 9 years, 55% women), also using the Olink platform.

resultsAccelerated brain aging is significantly associated with poorer cognitive performance, whereas organismal and conventional proteomic ages are not. All three biological age measures are linked to increased risk of AD and stroke, but brain aging shows the strongest association (hazard ratio (HR) for AD: 1.79 [95% confidence interval (CI): 1.66-1.93]; HR for stroke: 1.25 [95% CI: 1.17-1.33]). In the FHS validation, brain aging is associated with lower performance in cognitive domains such as attention and visual memory, and with increased risk of AD (HR: 1.64 [95% CI: 1.37-1.97]).

conclusionsPlasma-based biomarkers of brain aging may offer a promising tool for monitoring cognitive health and identifying individuals at risk for age-related diseases.

Identifiers

PMID41318807
PMCPMC12779996

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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.