Hereditary Effects and Biological Signals after Preconception Radiation Exposure: A Framework for Environmental Health Communication

Abstract Hereditary effects of ionizing radiation have traditionally been framed through a stringent mutation-to-disease model: parental germ cell exposure, irreversible chromosomal abnormalities or nuclear DNA mutations, transmission, and attributable hereditary disease. This framework remains essential, and human studies have not established radiation-attributable hereditary diseases after parental preconception exposure. Advances in genomic and other omics technologies, however, reveal a wider spectrum of molecular and cellular changes in offspring, whose clinical significance may be absent, indirect, or uncertain. These include quantitative changes in DNA abundance, such as mitochondrial DNA copy number, as well as signals detected by epigenomic, transcriptomic, and metabolic approaches. We adapt a four-layer evidentiary framework for environmental health communication that separates biological or genomic signals, intergenerational persistence, health-related phenotypes, and attributable hereditary diseases as evidence categories rather than an inevitable causal sequence. Communicators should identify the relevant layer, describe the evidence source and uncertainty, state what a finding does and does not support, and connect it to proportionate action.

Authors

Institutions

Publication Details

Journal
Environment & Health
Published
2026-09-30
DOI
https://doi.org/10.1021/envhealth.6c00485
Primary Topic
Mitochondrial Function and Pathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Hereditary Effects and Biological Signals after Preconception Radiation Exposure: A Framework for Environmental Health Communication

Hisanori Fukunaga, Nobuyuki Hamada
Environment & Health
Mitochondrial Function and Pathology
article

Hereditary Effects and Biological Signals after Preconception Radiation Exposure: A Framework for Environmental Health Communication

Hisanori Fukunaga, Nobuyuki Hamada
article en

Abstract

Abstract Hereditary effects of ionizing radiation have traditionally been framed through a stringent mutation-to-disease model: parental germ cell exposure, irreversible chromosomal abnormalities or nuclear DNA mutations, transmission, and attributable hereditary disease. This framework remains essential, and human studies have not established radiation-attributable hereditary diseases after parental preconception exposure. Advances in genomic and other omics technologies, however, reveal a wider spectrum of molecular and cellular changes in offspring, whose clinical significance may be absent, indirect, or uncertain. These include quantitative changes in DNA abundance, such as mitochondrial DNA copy number, as well as signals detected by epigenomic, transcriptomic, and metabolic approaches. We adapt a four-layer evidentiary framework for environmental health communication that separates biological or genomic signals, intergenerational persistence, health-related phenotypes, and attributable hereditary diseases as evidence categories rather than an inevitable causal sequence. Communicators should identify the relevant layer, describe the evidence source and uncertainty, state what a finding does and does not support, and connect it to proportionate action.

Environment & Health
Central Research Institute of Electric Power Industry (JP), Hokkaido University (JP), Kindai University (JP)
Openalex Percentile: Top 20%
Mitochondrial Function and Pathology
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.