Evidence map›Paper›PMID 41281807›Full record

ReviewExposome2025

Oculomics meets exposomics: a roadmap for applying multi-modal ocular biomarkers in precision environmental health research.

Haoran Cheng, Jeremy A Sarnat, Douglas I Walker, Anant Madabhushi, Amritpal Singh, Rohan Dhamdhere, Jodhbir S Mehta, Tien Yin Wong, John S Ji, Carmen J Marsit and 4 more

Abstract readReview
In one paragraph

Review in Exposome, 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

14 authors.

Haoran ChengSingapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore.ORCID https://orcid.org/0009-0000-1264-926X
Jeremy A SarnatGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Douglas I WalkerGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Anant MadabhushiDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Emory University, Atlanta, GA, United States.
Amritpal SinghDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Emory University, Atlanta, GA, United States.
Rohan DhamdhereDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Emory University, Atlanta, GA, United States.
Jodhbir S MehtaSingapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore.
Tien Yin WongSingapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore.
John S JiVanke School of Public Health, Tsinghua University, Beijing, China.
Carmen J MarsitGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0003-4566-150X
Dean P JonesDepartment of Medicine, School of Medicine, Emory University, Atlanta, GA, United States.
Daniel S W TingSingapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore.
Darren S J TingSingapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore.
Donghai LiangGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0001-7311-2298

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Melanie Alice PEARSON · 2013 to 2026
$22.6M
The Omics and Mixtures Integration on Traffic exposure and Preterm Birth (OMIT-PTB) StudyR01ES035738 · NIEHS · EMORY UNIVERSITY · PI Donghai Liang · 2024 to 2026
$2.0M
BLRD VA IK6 BX006185NIEHS NIH HHS P30 ES019776NIEHS NIH HHS R01 ES035738
6 · The paper itself

Abstract

Precision environmental health (PEH) is an emerging field that seeks to understand how diverse environmental exposures interact with individual biological and genetic factors to influence health outcomes. While recent advances in exposomics have enabled systematic characterization of the exposome, the integrated compilation of all physical, chemical, biological, and psychosocial influences that affect biology and health, identifying and developing sensitive biomarkers remains a critical challenge. The human eye offers unique potential for non-invasive biomarker discovery. Ocular biomarkers can be utilized not only for diagnostics and therapeutic responses of ocular diseases, but also for monitoring environmental exposures and predicting systemic health outcomes. Retinal imaging modalities such as color fundus photography, optical coherence tomography, and optical coherence tomography angiography capture biomarkers linked to environmental exposures and systemic conditions like cardiovascular and neurodegenerative diseases, a field known as oculomics. Similarly, ocular fluids, such as tears, aqueous humor and vitreous humor, may also reflect pollution-induced oxidative stress and inflammation and systemic health conditions. This paper summarizes current evidence on how ocular biomarkers can bridge environmental exposures and systemic health outcomes, and proposes future research directions using state of the art methodologies such as exposome-wide association studies, high dimensional mediation analysis, and multi-modal foundation models. Despite encouraging progress, significant challenges remain, including the need for large and standardized datasets, rigorous validation, and ethical safeguards to ensure equitable application. Advances in artificial intelligence, including federated learning, alongside global consortium efforts, will be essential to overcome these barriers. Addressing these gaps will unlock the full potential of oculomics and exposomics, advancing the goals of precision environmental health.

Indexed as

exposomicsmulti-omicsocular biomarkersocular imagingoculomicsprecision environmental health

Identifiers

PMID41281807
PMCPMC12631117

What Socratic 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 Socratic graph.