A hypothesis to derive the shape of the dose-response curve for teratogenic radiation effects

© 2022. The Author(s)..

Reports of adverse pregnancy outcomes after in utero exposure to very low levels of ionizing radiation are inconsistent with a threshold dose of 100 mSv for teratogenic effects in humans. In the present study, it is hypothesized that the shape of the dose-response relationship for teratogenic effects is a cumulative lognormal distribution without threshold. This hypothesis relies on the assumption that both doses and radiosensitivities in human populations exposed to ionizing radiation are random variables, modeled by lognormal density functions. Here, radiosensitivity is defined as the dose limit up to which radiation damage can be repaired by the cellular repair systems, in short, the repair capacity. Monte Carlo simulation is used to generate N pairs of individual doses and repair capacities. Radiation damage occurs whenever the dose exceeds the related repair capacity. The rate of radiation damage is the number of damages, divided by the number N of pairs. Monte Carlo simulation is conducted for a sufficient number of ascending median doses. The shape of the dose-response relationship is determined by regression of damage rates on mean dose. Regression with a cumulative lognormal distribution function yields a perfect fit to the data. Acceptance of the hypothesis means that studies of adverse health effects following in-utero exposure to low doses of ionizing radiation should not be discarded primarily because they contradict the concept of a threshold dose for teratogenic effects.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:21

Enthalten in:

Environmental health : a global access science source - 21(2022), 1 vom: 10. Feb., Seite 25

Sprache:

Englisch

Beteiligte Personen:

Körblein, Alfred [VerfasserIn]

Links:

Volltext

Themen:

Dose–response
Ionizing radiation
Journal Article
Monte Carlo simulation
Teratogenic effects

Anmerkungen:

Date Completed 04.05.2022

Date Revised 04.05.2022

published: Electronic

Citation Status MEDLINE

doi:

10.1186/s12940-022-00837-z

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM336768176