Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease

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Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease. / Azimzadeh, Omid; Moertl, Simone; Ramadan, Raghda; Baselet, Bjorn; Laiakis, Evagelia C.; Soji, Sebastian; Beaton, Danielle; Hartikainen, Jaana M.; Kaiser, Jan Christian; Beheshti, Afshin ; Salomaa, Sisko; Chauhan, Aditya; Hamada, Nobuvuki.

In: International Journal of Radiation Biology, 24.08.2022, p. 1-31.

Research output: Contribution to journalArticlepeer-review

Harvard

Azimzadeh, O, Moertl, S, Ramadan, R, Baselet, B, Laiakis, EC, Soji, S, Beaton, D, Hartikainen, JM, Kaiser, JC, Beheshti, A, Salomaa, S, Chauhan, A & Hamada, N 2022, 'Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease', International Journal of Radiation Biology, pp. 1-31. https://doi.org/10.1080/09553002.2022.2110325

APA

Azimzadeh, O., Moertl, S., Ramadan, R., Baselet, B., Laiakis, E. C., Soji, S., Beaton, D., Hartikainen, J. M., Kaiser, J. C., Beheshti, A., Salomaa, S., Chauhan, A., & Hamada, N. (2022). Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease. International Journal of Radiation Biology, 1-31. [2110325]. https://doi.org/10.1080/09553002.2022.2110325

Author

Azimzadeh, Omid ; Moertl, Simone ; Ramadan, Raghda ; Baselet, Bjorn ; Laiakis, Evagelia C. ; Soji, Sebastian ; Beaton, Danielle ; Hartikainen, Jaana M. ; Kaiser, Jan Christian ; Beheshti, Afshin ; Salomaa, Sisko ; Chauhan, Aditya ; Hamada, Nobuvuki. / Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease. In: International Journal of Radiation Biology. 2022 ; pp. 1-31.

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@article{91e8ed7b40844a6eb0ea174a8c85e57d,
title = "Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease",
abstract = "BackgroundEpidemiological studies have indicated that exposure of the heart to doses of ionizing radiation as low as 0.5 Gy increases the risk of cardiac morbidity and mortality with a latency period of decades. The damaging effects of radiation to myocardial and endothelial structures and functions have been confirmed radiobiologically at high dose, but much less are known at low dose. Integration of radiation biology and epidemiology data is a recommended approach to improve the radiation risk assessment process. The adverse outcome pathway (AOP) framework offers a comprehensive tool to compile and translate mechanistic information into pathological endpoints which may be relevant for risk assessment at the different levels of a biological system. Omics technologies enable the generation of large volumes of biological data at various levels of complexity, from molecular pathways to functional organisms. Given the quality and quantity of available data across levels of biology, omics data can be attractive sources of information for use within the AOP framework. It is anticipated that radiation omics studies could improve our understanding of the molecular mechanisms behind the adverse effects of radiation on the cardiovascular system. In this review, we explored the available omics studies on radiation-induced cardiovascular disease (CVD) and their applicability to the proposed AOP for CVD.ResultsThe results of 80 omics studies published on radiation-induced CVD over the past 20 years have been discussed in the context of the AOP of CVD proposed by Chauhan et al. Most of the available omics data on radiation-induced CVD are from proteomics, transcriptomics, and metabolomics, whereas few datasets were available from epigenomics and multi-omics. The omics data presented here show great promise in providing information for several key events (KEs) of the proposed AOP of CVD, particularly oxidative stress, alterations of energy metabolism, extracellular matrix (ECM), and vascular remodeling.ConclusionsThe omics data presented here shows promise to inform the various levels of the proposed AOP of CVD. However, the data highlight the urgent need of designing omics studies to address the knowledge gap concerning different radiation scenarios, time after exposure, and experimental models. This review presents the evidence to build a qualitative omics-informed AOP and provides views on the potential benefits and challenges in using omics data to assess risk-related outcomes.",
keywords = "Ionizing radiation, Cardiovascular disease, Adverse outcome pathway, Omics, Genomics, Transcriptomics, miRNA, Ipigenomics, Proteomics, Secretome, Extracellular, Vesicles, Metabolomics, Lipodomics, Biofluid, Multi-omics, Systems biology, Modeling, Risk assessment, Biologically based dose-response",
author = "Omid Azimzadeh and Simone Moertl and Raghda Ramadan and Bjorn Baselet and Laiakis, {Evagelia C.} and Sebastian Soji and Danielle Beaton and Hartikainen, {Jaana M.} and Kaiser, {Jan Christian} and Afshin Beheshti and Sisko Salomaa and Aditya Chauhan and Nobuvuki Hamada",
note = "Score=10",
year = "2022",
month = aug,
day = "24",
doi = "10.1080/09553002.2022.2110325",
language = "English",
pages = "1--31",
journal = "International Journal of Radiation Biology",
issn = "0955-3002",
publisher = "Taylor & Francis (CRC)",

}

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TY - JOUR

T1 - Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease

AU - Azimzadeh, Omid

AU - Moertl, Simone

AU - Ramadan, Raghda

AU - Baselet, Bjorn

AU - Laiakis, Evagelia C.

AU - Soji, Sebastian

AU - Beaton, Danielle

AU - Hartikainen, Jaana M.

AU - Kaiser, Jan Christian

AU - Beheshti, Afshin

AU - Salomaa, Sisko

AU - Chauhan, Aditya

AU - Hamada, Nobuvuki

N1 - Score=10

PY - 2022/8/24

Y1 - 2022/8/24

N2 - BackgroundEpidemiological studies have indicated that exposure of the heart to doses of ionizing radiation as low as 0.5 Gy increases the risk of cardiac morbidity and mortality with a latency period of decades. The damaging effects of radiation to myocardial and endothelial structures and functions have been confirmed radiobiologically at high dose, but much less are known at low dose. Integration of radiation biology and epidemiology data is a recommended approach to improve the radiation risk assessment process. The adverse outcome pathway (AOP) framework offers a comprehensive tool to compile and translate mechanistic information into pathological endpoints which may be relevant for risk assessment at the different levels of a biological system. Omics technologies enable the generation of large volumes of biological data at various levels of complexity, from molecular pathways to functional organisms. Given the quality and quantity of available data across levels of biology, omics data can be attractive sources of information for use within the AOP framework. It is anticipated that radiation omics studies could improve our understanding of the molecular mechanisms behind the adverse effects of radiation on the cardiovascular system. In this review, we explored the available omics studies on radiation-induced cardiovascular disease (CVD) and their applicability to the proposed AOP for CVD.ResultsThe results of 80 omics studies published on radiation-induced CVD over the past 20 years have been discussed in the context of the AOP of CVD proposed by Chauhan et al. Most of the available omics data on radiation-induced CVD are from proteomics, transcriptomics, and metabolomics, whereas few datasets were available from epigenomics and multi-omics. The omics data presented here show great promise in providing information for several key events (KEs) of the proposed AOP of CVD, particularly oxidative stress, alterations of energy metabolism, extracellular matrix (ECM), and vascular remodeling.ConclusionsThe omics data presented here shows promise to inform the various levels of the proposed AOP of CVD. However, the data highlight the urgent need of designing omics studies to address the knowledge gap concerning different radiation scenarios, time after exposure, and experimental models. This review presents the evidence to build a qualitative omics-informed AOP and provides views on the potential benefits and challenges in using omics data to assess risk-related outcomes.

AB - BackgroundEpidemiological studies have indicated that exposure of the heart to doses of ionizing radiation as low as 0.5 Gy increases the risk of cardiac morbidity and mortality with a latency period of decades. The damaging effects of radiation to myocardial and endothelial structures and functions have been confirmed radiobiologically at high dose, but much less are known at low dose. Integration of radiation biology and epidemiology data is a recommended approach to improve the radiation risk assessment process. The adverse outcome pathway (AOP) framework offers a comprehensive tool to compile and translate mechanistic information into pathological endpoints which may be relevant for risk assessment at the different levels of a biological system. Omics technologies enable the generation of large volumes of biological data at various levels of complexity, from molecular pathways to functional organisms. Given the quality and quantity of available data across levels of biology, omics data can be attractive sources of information for use within the AOP framework. It is anticipated that radiation omics studies could improve our understanding of the molecular mechanisms behind the adverse effects of radiation on the cardiovascular system. In this review, we explored the available omics studies on radiation-induced cardiovascular disease (CVD) and their applicability to the proposed AOP for CVD.ResultsThe results of 80 omics studies published on radiation-induced CVD over the past 20 years have been discussed in the context of the AOP of CVD proposed by Chauhan et al. Most of the available omics data on radiation-induced CVD are from proteomics, transcriptomics, and metabolomics, whereas few datasets were available from epigenomics and multi-omics. The omics data presented here show great promise in providing information for several key events (KEs) of the proposed AOP of CVD, particularly oxidative stress, alterations of energy metabolism, extracellular matrix (ECM), and vascular remodeling.ConclusionsThe omics data presented here shows promise to inform the various levels of the proposed AOP of CVD. However, the data highlight the urgent need of designing omics studies to address the knowledge gap concerning different radiation scenarios, time after exposure, and experimental models. This review presents the evidence to build a qualitative omics-informed AOP and provides views on the potential benefits and challenges in using omics data to assess risk-related outcomes.

KW - Ionizing radiation

KW - Cardiovascular disease

KW - Adverse outcome pathway

KW - Omics

KW - Genomics

KW - Transcriptomics

KW - miRNA

KW - Ipigenomics

KW - Proteomics

KW - Secretome

KW - Extracellular

KW - Vesicles

KW - Metabolomics

KW - Lipodomics

KW - Biofluid

KW - Multi-omics

KW - Systems biology

KW - Modeling

KW - Risk assessment

KW - Biologically based dose-response

UR - https://ecm.sckcen.be/OTCS/llisapi.dll?func=ll&objId=50724196&objAction=download

U2 - 10.1080/09553002.2022.2110325

DO - 10.1080/09553002.2022.2110325

M3 - Article

SP - 1

EP - 31

JO - International Journal of Radiation Biology

JF - International Journal of Radiation Biology

SN - 0955-3002

M1 - 2110325

ER -

ID: 7938595