Modeling dose-Response at Low dose: A Systems Biology Approach for Ionization Radiation
For ionization radiation (IR) induced cancer, a linear non-threshold (LNT) model at very low doses is the default used by a number of national and international organizations and in regulatory law. This default denies any positive benefit from any level of exposure. However, experimental observation...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2010-10-01
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| Series: | Dose-Response |
| Online Access: | https://doi.org/10.2203/dose-response.09-054.Zhao |
| _version_ | 1818283472934928384 |
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| author | Yuchao Zhao Paolo F. Ricci |
| author_facet | Yuchao Zhao Paolo F. Ricci |
| author_sort | Yuchao Zhao |
| collection | DOAJ |
| description | For ionization radiation (IR) induced cancer, a linear non-threshold (LNT) model at very low doses is the default used by a number of national and international organizations and in regulatory law. This default denies any positive benefit from any level of exposure. However, experimental observations and theoretical biology have found that both linear and J -shaped IR dose-response curves can exist at those very low doses. We develop low dose J-shaped dose-response, based on systems biology, and thus justify its use regarding exposure to IR. This approach incorporates detailed, molecular and cellular descriptions of biological/toxicological mechanisms to develop a dose-response model through a set of nonlinear, differential equations describing the signaling pathways and biochemical mechanisms of cell cycle checkpoint, apoptosis, and tumor incidence due to IR. This approach yields a J -shaped dose response curve while showing where LNT behaviors are likely to occur. The results confirm the hypothesis of the J -shaped dose response curve: the main reason is that, at low-doses of IR, cells stimulate protective systems through a longer cell arrest time per unit of IR dose. We suggest that the policy implications of this approach are an increasingly correct way to deal with precautionary measures in public health. |
| first_indexed | 2024-12-13T00:37:28Z |
| format | Article |
| id | doaj.art-6d68238d6f2648ca8c22ba7fc8eb0753 |
| institution | Directory Open Access Journal |
| issn | 1559-3258 |
| language | English |
| last_indexed | 2024-12-13T00:37:28Z |
| publishDate | 2010-10-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Dose-Response |
| spelling | doaj.art-6d68238d6f2648ca8c22ba7fc8eb07532022-12-22T00:05:11ZengSAGE PublishingDose-Response1559-32582010-10-01810.2203/dose-response.09-054.ZhaoModeling dose-Response at Low dose: A Systems Biology Approach for Ionization RadiationYuchao ZhaoPaolo F. RicciFor ionization radiation (IR) induced cancer, a linear non-threshold (LNT) model at very low doses is the default used by a number of national and international organizations and in regulatory law. This default denies any positive benefit from any level of exposure. However, experimental observations and theoretical biology have found that both linear and J -shaped IR dose-response curves can exist at those very low doses. We develop low dose J-shaped dose-response, based on systems biology, and thus justify its use regarding exposure to IR. This approach incorporates detailed, molecular and cellular descriptions of biological/toxicological mechanisms to develop a dose-response model through a set of nonlinear, differential equations describing the signaling pathways and biochemical mechanisms of cell cycle checkpoint, apoptosis, and tumor incidence due to IR. This approach yields a J -shaped dose response curve while showing where LNT behaviors are likely to occur. The results confirm the hypothesis of the J -shaped dose response curve: the main reason is that, at low-doses of IR, cells stimulate protective systems through a longer cell arrest time per unit of IR dose. We suggest that the policy implications of this approach are an increasingly correct way to deal with precautionary measures in public health.https://doi.org/10.2203/dose-response.09-054.Zhao |
| spellingShingle | Yuchao Zhao Paolo F. Ricci Modeling dose-Response at Low dose: A Systems Biology Approach for Ionization Radiation Dose-Response |
| title | Modeling dose-Response at Low dose: A Systems Biology Approach for Ionization Radiation |
| title_full | Modeling dose-Response at Low dose: A Systems Biology Approach for Ionization Radiation |
| title_fullStr | Modeling dose-Response at Low dose: A Systems Biology Approach for Ionization Radiation |
| title_full_unstemmed | Modeling dose-Response at Low dose: A Systems Biology Approach for Ionization Radiation |
| title_short | Modeling dose-Response at Low dose: A Systems Biology Approach for Ionization Radiation |
| title_sort | modeling dose response at low dose a systems biology approach for ionization radiation |
| url | https://doi.org/10.2203/dose-response.09-054.Zhao |
| work_keys_str_mv | AT yuchaozhao modelingdoseresponseatlowdoseasystemsbiologyapproachforionizationradiation AT paolofricci modelingdoseresponseatlowdoseasystemsbiologyapproachforionizationradiation |