Changing the Risk Paradigms can be Good for Our Health: -Shaped, Linear and Threshold Dose-Response Models

Both the linear (at low doses)-no-threshold (LNT) and the threshold models ( S -shapes) dose-response lead to no benefit from low exposure. We propose three new models that allow and include, but do not require – unlike LNT and S -shaped models — this strong assumption. We also provide the means to...

Full description

Bibliographic Details
Main Authors: P. F. Ricci, S. R. Straja, A. L. Cox
Format: Article
Language:English
Published: SAGE Publishing 2012-04-01
Series:Dose-Response
Online Access:https://doi.org/10.2203/dose-response.11-020.Ricci
id doaj-7ad35a97a66747e7b486739d7d439afb
record_format Article
spelling doaj-7ad35a97a66747e7b486739d7d439afb2020-11-25T03:32:32ZengSAGE PublishingDose-Response1559-32582012-04-011010.2203/dose-response.11-020.RicciChanging the Risk Paradigms can be Good for Our Health: -Shaped, Linear and Threshold Dose-Response ModelsP. F. RicciS. R. StrajaA. L. CoxBoth the linear (at low doses)-no-threshold (LNT) and the threshold models ( S -shapes) dose-response lead to no benefit from low exposure. We propose three new models that allow and include, but do not require – unlike LNT and S -shaped models — this strong assumption. We also provide the means to calculate benefits associated with bi-phasic biological behaviors, when they occur and propose: Three hormetic (phasic) models: the J -shaped, inverse J -shaped, the min-max , and Method for calculating the direct benefits associated with the J and inverse J -shaped models. The J -shaped and min-max models for mutagens and carcinogenic agents include an experimentally justified repair stage for toxic and carcinogenic damage. We link these to stochastic transition models for cancer and show how abrupt transitions in cancer hazard rates, as functions of exposure concentrations and durations, can emerge naturally in large cell populations even when the rates of cell-level events increase smoothly (e.g., proportionally) with concentration. In this very general family of models, J -shaped dose-response curves emerge. These results are universal, i.e., independent of specific biological details represented by the stochastic transition networks. Thus, using them suggests a more complete and realistic way to assess risks at low doses or dose-rates.https://doi.org/10.2203/dose-response.11-020.Ricci
collection DOAJ
language English
format Article
sources DOAJ
author P. F. Ricci
S. R. Straja
A. L. Cox
spellingShingle P. F. Ricci
S. R. Straja
A. L. Cox
Changing the Risk Paradigms can be Good for Our Health: -Shaped, Linear and Threshold Dose-Response Models
Dose-Response
author_facet P. F. Ricci
S. R. Straja
A. L. Cox
author_sort P. F. Ricci
title Changing the Risk Paradigms can be Good for Our Health: -Shaped, Linear and Threshold Dose-Response Models
title_short Changing the Risk Paradigms can be Good for Our Health: -Shaped, Linear and Threshold Dose-Response Models
title_full Changing the Risk Paradigms can be Good for Our Health: -Shaped, Linear and Threshold Dose-Response Models
title_fullStr Changing the Risk Paradigms can be Good for Our Health: -Shaped, Linear and Threshold Dose-Response Models
title_full_unstemmed Changing the Risk Paradigms can be Good for Our Health: -Shaped, Linear and Threshold Dose-Response Models
title_sort changing the risk paradigms can be good for our health: -shaped, linear and threshold dose-response models
publisher SAGE Publishing
series Dose-Response
issn 1559-3258
publishDate 2012-04-01
description Both the linear (at low doses)-no-threshold (LNT) and the threshold models ( S -shapes) dose-response lead to no benefit from low exposure. We propose three new models that allow and include, but do not require – unlike LNT and S -shaped models — this strong assumption. We also provide the means to calculate benefits associated with bi-phasic biological behaviors, when they occur and propose: Three hormetic (phasic) models: the J -shaped, inverse J -shaped, the min-max , and Method for calculating the direct benefits associated with the J and inverse J -shaped models. The J -shaped and min-max models for mutagens and carcinogenic agents include an experimentally justified repair stage for toxic and carcinogenic damage. We link these to stochastic transition models for cancer and show how abrupt transitions in cancer hazard rates, as functions of exposure concentrations and durations, can emerge naturally in large cell populations even when the rates of cell-level events increase smoothly (e.g., proportionally) with concentration. In this very general family of models, J -shaped dose-response curves emerge. These results are universal, i.e., independent of specific biological details represented by the stochastic transition networks. Thus, using them suggests a more complete and realistic way to assess risks at low doses or dose-rates.
url https://doi.org/10.2203/dose-response.11-020.Ricci
work_keys_str_mv AT pfricci changingtheriskparadigmscanbegoodforourhealthshapedlinearandthresholddoseresponsemodels
AT srstraja changingtheriskparadigmscanbegoodforourhealthshapedlinearandthresholddoseresponsemodels
AT alcox changingtheriskparadigmscanbegoodforourhealthshapedlinearandthresholddoseresponsemodels
_version_ 1724567633933631488