Toward the promotion of One Health – Part II: Interdisciplinary research cooperation between digital transformation and exposome

Human activities increasingly disrupt global ecosystems, contributing to climate change, biodiversity loss, and emerging health threats. In response, the One Health framework has gained attention as an integrative approach encompassing human, animal, and environmental health. In a symposium at APPW2025, experts in Exposome science and Digital Transformation discussed how interdisciplinary integration can advance predictive and preventive medicine. This review summarizes five key topics: Exposome as a determinant of disease risk, epigenetic mechanisms encoding environmental memory, environmental programming of brown adipose tissue, adaptive prioritization of environmental signals, and simulation-based drug repurposing. Collectively, these studies highlight a paradigm shift from conventional linear exposure-disease models toward a systems-level understanding integrating cumulative exposures, biological memory, and predictive modeling. The convergence of Exposome science and Digital Transformation provides a foundation for advancing One Health into a predictive and actionable scientific framework.

Authors

Institutions

Publication Details

Journal
The Journal of Physiological Sciences
Published
2026-04-26
DOI
https://doi.org/10.1016/j.jphyss.2026.100078
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward the promotion of One Health – Part II: Interdisciplinary research cooperation between digital transformation and exposome

Yoshito Kumagai, Keiko Nohara, Motohiro Nishida, Takeshi Yoneshiro et al.
The Journal of Physiological Sciences
Health, Environment, Cognitive Aging
article

Toward the promotion of One Health – Part II: Interdisciplinary research cooperation between digital transformation and exposome

Yoshito Kumagai, Keiko Nohara, Motohiro Nishida, Takeshi Yoneshiro, Nobuhiko Ohno, Naoki Honda, Shingo Iwami
article en

Abstract

Human activities increasingly disrupt global ecosystems, contributing to climate change, biodiversity loss, and emerging health threats. In response, the One Health framework has gained attention as an integrative approach encompassing human, animal, and environmental health. In a symposium at APPW2025, experts in Exposome science and Digital Transformation discussed how interdisciplinary integration can advance predictive and preventive medicine. This review summarizes five key topics: Exposome as a determinant of disease risk, epigenetic mechanisms encoding environmental memory, environmental programming of brown adipose tissue, adaptive prioritization of environmental signals, and simulation-based drug repurposing. Collectively, these studies highlight a paradigm shift from conventional linear exposure-disease models toward a systems-level understanding integrating cumulative exposures, biological memory, and predictive modeling. The convergence of Exposome science and Digital Transformation provides a foundation for advancing One Health into a predictive and actionable scientific framework.

The Journal of Physiological SciencesVol. 76(2)
Kyushu University (JP), National Institutes of Natural Sciences (JP), National Institute for Environmental Studies (JP), Tohoku University (JP), National Institute for Physiological Sciences (JP), Nagoya University (JP)
Japan Agency for Medical Research and Development, Japan Society for the Promotion of Science London, Japan Society for the Promotion of Science, Japan Science and Technology Agency
Openalex Percentile: Top 16%
Health, Environment, Cognitive Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.