PMID- 37229870
OWN - NLM
STAT- MEDLINE
DCOM- 20230605
LR  - 20230605
IS  - 1090-2414 (Electronic)
IS  - 0147-6513 (Linking)
VI  - 259
DP  - 2023 Jul 1
TI  - Modeling of ionizing radiation-induced chromosome aberration and tumor prevalence 
      based on two classes of DNA double-strand breaks clustering in chromatin domains.
PG  - 115038
LID - S0147-6513(23)00542-0 [pii]
LID - 10.1016/j.ecoenv.2023.115038 [doi]
AB  - There has been some controversy over the use of radiobiological models when 
      modeling the dose-response curves of ionizing radiation (IR)-induced chromosome 
      aberration and tumor prevalence, as those curves usually show obvious 
      non-targeted effects (NTEs) at low doses of high linear energy transfer (LET) 
      radiation. The lack of understanding the contribution of NTEs to IR-induced 
      carcinogenesis can lead to distinct deviations of relative biological 
      effectiveness (RBE) estimations of carcinogenic potential, which are widely used 
      in radiation risk assessment and radiation protection. In this work, based on the 
      initial pattern of two classes of IR-induced DNA double-strand breaks (DSBs) 
      clustering in chromatin domains and the subsequent incorrect repair processes, we 
      proposed a novel radiobiological model to describe the dose-response curves of 
      two carcinogenic-related endpoints within the same theoretical framework. The 
      representative experimental data was used to verify the consistency and validity 
      of the present model. The fitting results indicated that, compared with targeted 
      effect (TE) and NTE models, the current model has better fitting ability when 
      dealing with the experimental data of chromosome aberration and tumor prevalence 
      induced by multiple types of IR with different LETs. Notably, the present model 
      without introducing an NTE term was adequate to describe the dose-response curves 
      of IR-induced chromosome aberration and tumor prevalence with NTEs in low-dose 
      regions. Based on the fitting parameters, the LET-dependent RBE values were 
      calculated for three given low doses. Our results showed that the RBE values 
      predicted by the current model gradually decrease with the increase of doses for 
      the endpoints of chromosome aberration and tumor prevalence. In addition, the 
      calculated RBE was also compared with those evaluated from other models. These 
      analyses show that the proposed model can be used as an alternative tool to well 
      describe dose-response curves of multiple carcinogenic-related endpoints and 
      effectively estimate RBE in low-dose regions.
CI  - Copyright (c) 2023 The Authors. Published by Elsevier Inc. All rights reserved.
FAU - Zhao, Lei
AU  - Zhao L
AD  - Institute of Environmental Systems Biology, College of Environmental Science and 
      Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China. 
      Electronic address: zhaol@dlmu.edu.cn.
FAU - Tang, Aiping
AU  - Tang A
AD  - College of Science, Dalian Maritime University, Dalian 116026, Liaoning, China.
FAU - Long, Fei
AU  - Long F
AD  - Institute of Environmental Systems Biology, College of Environmental Science and 
      Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China.
FAU - Mi, Dong
AU  - Mi D
AD  - College of Science, Dalian Maritime University, Dalian 116026, Liaoning, China. 
      Electronic address: mid@dlmu.edu.cn.
FAU - Sun, Yeqing
AU  - Sun Y
AD  - Institute of Environmental Systems Biology, College of Environmental Science and 
      Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China. 
      Electronic address: yqsun@dlmu.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20230523
PL  - Netherlands
TA  - Ecotoxicol Environ Saf
JT  - Ecotoxicology and environmental safety
JID - 7805381
RN  - 0 (Chromatin)
RN  - 9007-49-2 (DNA)
SB  - IM
MH  - Humans
MH  - *DNA Breaks, Double-Stranded
MH  - Chromatin
MH  - Prevalence
MH  - Linear Energy Transfer
MH  - Radiation, Ionizing
MH  - Chromosome Aberrations
MH  - *Neoplasms
MH  - DNA/radiation effects
MH  - Cluster Analysis
MH  - Dose-Response Relationship, Radiation
OTO - NOTNLM
OT  - Chromosome aberration
OT  - Ionizing radiation
OT  - Non-targeted effect
OT  - Radiobiological model
OT  - Relative biological effectiveness
OT  - Tumor prevalence
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2023/05/26 01:05
MHDA- 2023/06/05 06:42
CRDT- 2023/05/25 18:02
PHST- 2023/02/22 00:00 [received]
PHST- 2023/04/24 00:00 [revised]
PHST- 2023/05/17 00:00 [accepted]
PHST- 2023/06/05 06:42 [medline]
PHST- 2023/05/26 01:05 [pubmed]
PHST- 2023/05/25 18:02 [entrez]
AID - S0147-6513(23)00542-0 [pii]
AID - 10.1016/j.ecoenv.2023.115038 [doi]
PST - ppublish
SO  - Ecotoxicol Environ Saf. 2023 Jul 1;259:115038. doi: 10.1016/j.ecoenv.2023.115038. 
      Epub 2023 May 23.