Evidence map›Paper›PMID 42850555›Full record

ArticleGeroScience2026

Brain care score and retinal health: structural and metabolic insights from the UK Biobank.

Jun Yu, Yuzhou Zhang, Yue Lan Gao, Mary Ho, Ka Wai Kam, Bo Gong, Alvin L Young, Chi Pui Pang, Clement C Tham, Jason C Yam and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

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

11 authors.

Jun YuDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, 4/F Hong Kong Eye Hospital, 147 K Argyle Street, Kowloon, Hong Kong SAR, China.
Yuzhou ZhangDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, 4/F Hong Kong Eye Hospital, 147 K Argyle Street, Kowloon, Hong Kong SAR, China.
Yue Lan GaoDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, 4/F Hong Kong Eye Hospital, 147 K Argyle Street, Kowloon, Hong Kong SAR, China.
Mary HoDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, 4/F Hong Kong Eye Hospital, 147 K Argyle Street, Kowloon, Hong Kong SAR, China.
Ka Wai KamDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, 4/F Hong Kong Eye Hospital, 147 K Argyle Street, Kowloon, Hong Kong SAR, China.
Bo GongThe Sichuan Provincial Key Laboratory for Human Disease Gene Study, Center for Medical Genetics, School of Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Alvin L YoungDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, 4/F Hong Kong Eye Hospital, 147 K Argyle Street, Kowloon, Hong Kong SAR, China.
Chi Pui PangDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, 4/F Hong Kong Eye Hospital, 147 K Argyle Street, Kowloon, Hong Kong SAR, China.
Clement C ThamDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, 4/F Hong Kong Eye Hospital, 147 K Argyle Street, Kowloon, Hong Kong SAR, China.
Jason C YamDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, 4/F Hong Kong Eye Hospital, 147 K Argyle Street, Kowloon, Hong Kong SAR, China. yamcheuksing@cuhk.edu.hk.
Li Jia ChenDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, 4/F Hong Kong Eye Hospital, 147 K Argyle Street, Kowloon, Hong Kong SAR, China. lijia_chen@cuhk.edu.hk.ORCID http://orcid.org/0000-0003-3500-5840

Funding

National Natural Science Foundation of China 82425017the General Research Fund, Hong Kong 14102122the General Research Fund, Hong Kong 14105320the Health and Medical Research Fund Hong Kong 10210236the Health and Medical Research Fund Hong Kong 11220136the Research Matching Grant (RMG) by the Hong Kong Government 8601668
6 · The paper itself

Abstract

The retina is an extension of the central nervous system and a recognized indicator of systemic health, yet the link between the brain care score (BCS) and retinal health remains unclear. In this study, we aimed to assess the associations of BCS with retinal layer thickness and retinal biological age and to evaluate potential metabolic mediation for retinal thickness. A total of 28,657 UK Biobank participants with optical coherence tomography (OCT) imaging at baseline were included, of whom 14,656 had metabolomic data. We constructed a 19-point BCS incorporating physical, lifestyle, and social-emotional domains, with higher scores indicating better brain care. Eight retinal layers and overall macular thickness were assessed. Retinal aging was evaluated using the OCT age gap, defined as the difference between the retinal age predicted by a support vector machine model trained on OCT-derived structural metrics and chronological age. Using multivariable linear regression, higher BCS was associated with thicker neuroretinal layers, photoreceptor layers, and overall macular thickness. Exploratory indirect-effect analyses identified candidate metabolic patterns primarily involving lipid, unsaturated fatty acid, and branched-chain amino acid pathways. Furthermore, each 5-unit increase in BCS was associated with a reduced retinal age gap. Our study identified associations between higher BCS and thicker neuroretinal and photoreceptor layers, as well as a reduced OCT age gap. These findings link a higher BCS to more favorable retinal structural phenotypes and identify candidate metabolic patterns for further investigation.

Indexed as

Brain care scoreMacular thicknessMetabolitesOptical coherence tomographyRetinal biological ageRetinal layer thickness

Identifiers

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Registered trials

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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.