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AOP: 644

Title

A descriptive phrase which references both the Molecular Initiating Event and Adverse Outcome.It should take the form “MIE leading to AO”. For example, “Aromatase inhibition leading to reproductive dysfunction” where Aromatase inhibition is the MIE and reproductive dysfunction the AO. In cases where the MIE is unknown or undefined, the earliest known KE in the chain (i.e., furthest upstream) should be used in lieu of the MIE and it should be made clear that the stated event is a KE and not the MIE.  More help

Bulky DNA adducts leading to chromosomal aberrations and mutations

Short name
A name that succinctly summarises the information from the title. This name should not exceed 90 characters. More help
Bulky DNA adducts, chromosomal aberrations, and mutations
The current version of the Developer's Handbook will be automatically populated into the Handbook Version field when a new AOP page is created.Authors have the option to switch to a newer (but not older) Handbook version any time thereafter. More help
Handbook Version v2.8

Graphical Representation

A graphical representation of the AOP.This graphic should list all KEs in sequence, including the MIE (if known) and AO, and the pair-wise relationships (links or KERs) between those KEs. More help
Click to download graphical representation template Explore AOP in a Third Party Tool

Authors

The names and affiliations of the individual(s)/organisation(s) that created/developed the AOP. More help

Point of Contact

The user responsible for managing the AOP entry in the AOP-KB and controlling write access to the page by defining the contributors as described in the next section.   More help
Beckner Andersano   (email point of contact)

Contributors

Users with write access to the AOP page.  Entries in this field are controlled by the Point of Contact. More help
  • Beckner Andersano

Coaches

This field is used to identify coaches who supported the development of the AOP.Each coach selected must be a registered author. More help

OECD Information Table

Provides users with information concerning how actively the AOP page is being developed and whether it is part of the OECD Workplan and has been reviewed and/or endorsed. OECD Project: Assigned upon acceptance onto OECD workplan. This project ID is managed and updated (if needed) by the OECD. OECD Status: For AOPs included on the OECD workplan, ‘OECD status’ tracks the level of review/endorsement of the AOP . This designation is managed and updated by the OECD. Journal-format Article: The OECD is developing co-operation with Scientific Journals for the review and publication of AOPs, via the signature of a Memorandum of Understanding. When the scientific review of an AOP is conducted by these Journals, the journal review panel will review the content of the Wiki. In addition, the Journal may ask the AOP authors to develop a separate manuscript (i.e. Journal Format Article) using a format determined by the Journal for Journal publication. In that case, the journal review panel will be required to review both the Wiki content and the Journal Format Article. The Journal will publish the AOP reviewed through the Journal Format Article. OECD iLibrary published version: OECD iLibrary is the online library of the OECD. The version of the AOP that is published there has been endorsed by the OECD. The purpose of publication on iLibrary is to provide a stable version over time, i.e. the version which has been reviewed and revised based on the outcome of the review. AOPs are viewed as living documents and may continue to evolve on the AOP-Wiki after their OECD endorsement and publication.   More help
OECD Project # OECD Status Reviewer's Reports Journal-format Article OECD iLibrary Published Version
This AOP was last modified on July 23, 2026 21:01

Revision dates for related pages

Page Revision Date/Time
Bulky DNA adducts, increase May 17, 2021 09:48
Inadequate DNA repair March 08, 2024 12:15
Increase, DNA strand breaks December 17, 2024 11:57
Increase, Mutations May 15, 2023 08:47
Increase, Chromosomal aberrations March 08, 2024 12:20
Bulky DNA adducts, increase leads to Increase, DNA strand breaks June 29, 2026 16:53
Bulky DNA adducts, increase leads to Inadequate DNA repair May 17, 2021 09:13
Bulky DNA adducts, increase leads to Increase, Mutations September 14, 2021 16:47
Bulky DNA adducts, increase leads to Increase, Chromosomal aberrations July 23, 2026 21:29
Increase, DNA strand breaks leads to Increase, Mutations January 09, 2023 21:05
Inadequate DNA repair leads to Increase, DNA strand breaks July 03, 2026 13:37
Increase, DNA strand breaks leads to Inadequate DNA repair March 08, 2024 14:56
Inadequate DNA repair leads to Increase, Mutations March 08, 2024 15:00
Inadequate DNA repair leads to Increase, Chromosomal aberrations December 17, 2024 12:37
Increase, DNA strand breaks leads to Increase, Chromosomal aberrations January 09, 2023 21:05
Benzo(a)pyrene March 20, 2020 20:17
Benzo(b)fluoranthene July 03, 2026 11:22
Aristolochic acid May 09, 2017 15:56
Naphthalene July 03, 2026 11:28
Anthracene July 03, 2026 11:29
Phenanthrene November 29, 2016 18:42
Pyrene July 03, 2026 11:30
Benz(a)anthracene July 03, 2026 11:31
Chrysene July 03, 2026 11:31
5-Methylchrysene July 03, 2026 11:32
3-Methylcholanthrene July 03, 2026 11:32
2-Amino-1-methyl-6-phenylimidazo [4,5-b]pyridine July 03, 2026 11:36

Abstract

A concise and informative summation of the AOP under development that can stand-alone from the AOP page. The aim is to capture the highlights of the AOP and its potential scientific and regulatory relevance. More help

This AOP network describes the linkage of bulky DNA adduct formation to irreversible genomic damage (chromosomal aberrations and mutations). Irreversible genomic damage is of interest by regulators due to its association with multiple adverse health effects such as cancer and heritable disorders.  

Mutagens are genotoxic substances that bind to the DNA sequence, altering the conformation through substitutions, deletions, adductions, or other complex methods. These mutations are possible in both the non-coding and coding regions of DNA and can lead to a silent or functional mutation. Functionality is determined by the location and type of mutation. Bulky DNA adducts are formed by the covalent bonding of a large organic compound to the DNA structure, causing large conformational shifts. Like mutagens, these chemicals' extent of effect depends on location and size of the compound.  

The molecular initiating event (MIE) of this AOP is an increase in bulky DNA adducts. These adducts form in all cell types due to exogenous (i.e., exposure to pollutants) as well as endogenous chemicals. These adducts require specific methods of repair that are complex due to the structure changes. For these reasons, it is possible that the repair mechanisms that usually perform adequately can become overwhelmed and thus inadequate (KE1). Due to the inadequate repair (KE1), as well as the conformational change from the adducts forming (MIE), mutations (AO1) can arise. DNA adducts that have failed repair can cause lesions in the DNA (KE2). With an inadequate repair (KE1) that is already struggling to repair the adducts (MIE), it can fail to repair the lesions (KE2) which can lead to chromosomal aberrations (AO2) and/or mutations (AO1). 

This AOP’s support is strong due to the depth of understanding of the mechanisms involved. Many of the KERs have robust empirical support while certain KE’s have strong evidence of essentiality. For example, inadequate repair (KE1) has been observed leading to both mutations (AO1) and chromosomal aberrations (AO2) in multiple studies. 

We predict that this AOP will gain traffic due to the increasing interest and understanding of the growing abundance of prototypical stressors found in the environment. This AOP points to critical gaps in research and understanding of this pathway. It will also help to guide research to develop quantitative associations as well as modulating factors connecting the KEs across the AOP while providing novel test methods to understand and evaluate the implications of bulky DNA adducts. 

AOP Development Strategy

Context

Used to provide background information for AOP reviewers and users that is considered helpful in understanding the biology underlying the AOP and the motivation for its development.The background should NOT provide an overview of the AOP, its KEs or KERs, which are captured in more detail below. More help

This AOP examines the effects of increased bulky DNA adducts (MIE), on increased mutations (AO1), and chromosomal aberrations (AO2). In addition to summarizing the current state of knowledge, the AOP aims to identify important evidence gaps, support the development of future AOPs, inform the design of novel testing approaches, and contribute to regulatory decision-making. 

The evidence-gathering strategy focused on individual key events (KEs) and key event relationships (KERs). Bulky DNA adducts can form in any organism containing DNA, thus this AOP is not restricted to a specific taxonomic group, species, sex, or life stage. 

Most KEs and KERs included in this AOP were reused from AOP 296, Oxidative DNA Damage Leading to Chromosomal Aberrations and Mutations. Rather than oxidative DNA damage, the present AOP introduces bulky DNA adducts as the MIE while retaining much of the downstream biological framework. The objective is to determine whether the existing AOP structure remains valid when an alternative MIE is incorporated, thereby demonstrating the adaptability of the AOP framework to related mechanisms of genotoxicity. 

To support this objective, four new KERs are being developed. The first is the adjacent relationship between increased bulky DNA adducts (MIE) and inadequate repair (KE). Three additional non-adjacent KERs are also being evaluated: increased bulky DNA adducts leading directly to increased DNA strand breaks (KE), increased mutations (AO1), and increased chromosomal aberrations (AO2). 

This AOP was developed through the collaborative expertise of researchers at the University of Ottawa, particularly Dr. Carole Yauk, and contributors from the Partnership for the Assessment of Risks from Chemicals (PARC). The project seeks to establish the environmental and regulatory relevance of bulky DNA adduct-forming pollutants and their role in genetic damage. 

Polycyclic aromatic hydrocarbons (PAHs) serve as a representative stressor for this AOP. Following metabolic activation, PAHs can interact with DNA and form covalent bonds with nucleotides, generating bulky DNA adducts (Henkler et al., 2012; Millen et al., 2012). These adducts represent a critical initiating event in the pathway and can disrupt normal DNA structure and function. 

Several validated methods are available for detecting bulky DNA adducts. The ^32P-postlabeling assay is among the most widely used and has undergone numerous methodological refinements to improve sensitivity and application-specific performance (Kovács et al., 2010). Liquid chromatography–tandem mass spectrometry (LC-MS/MS) has also been successfully used for the identification and quantification of bulky DNA adducts (Olsen et al., 2010). 

When bulky DNA adducts are not effectively repaired, they can contribute to altered chromosomal structures, genomic instability, and mutations (Baiken et al., 2021; Henkler et al., 2012). Increased mutation frequencies associated with bulky DNA adduct formation have been observed across multiple tissues and species, demonstrating the broad biological relevance of this mechanism (Akerman et al., 2004; Henkler et al., 2012; Long et al., 2018; Schuster et al., 2024). 

Mutations and genome instability resulting from bulky DNA adducts can be quantified using several experimental approaches. These include in vitro modeling systems (Broschard et al., 1994) and modern error-corrected sequencing technologies, which enable highly sensitive detection of rare mutations (Olsen et al., 2010; Schuster et al., 2024). 

Bulky DNA adducts can also interfere with DNA repair processes, leading to inadequate repair. Deficiencies in repair capacity increase the likelihood that DNA lesions persist and subsequently contribute to DNA strand breaks, chromosomal aberrations, and mutations (Fischer et al., 2018; Liu et al., 2012; Matullo et al., 2001; Mimmler et al., 2016; Thompson et al., 1983). 

DNA strand breaks resulting from inadequate repair can be measured using established methods such as the Comet Assay (Burlinson et al., 2012). In human populations, reduced DNA repair capacity has been associated with elevated mutation frequencies (Matullo et al., 2001), further supporting the importance of repair processes within the pathway. 

Evidence from knockout and knockdown animal models has also highlighted the role of multiple DNA repair pathways in mitigating the effects of bulky DNA adducts. Studies using repair-deficient mice exposed to chemicals known to induce bulky adducts—including PAHs, heterocyclic aromatic amines, and other genotoxic compounds—have demonstrated increased susceptibility to DNA damage and mutagenesis (Fischer et al., 2018; Liu et al., 2012; Matullo et al., 2001; Mimmler et al., 2016; Thompson et al., 1983). 

Overall, the available evidence indicates that inadequate repair is a central mechanistic link within this AOP. Failure to repair bulky DNA adducts increases the persistence of DNA damage, promotes DNA strand breaks, and contributes to the development of both mutations and chromosomal aberrations. These downstream effects collectively support the proposed pathway from bulky DNA adduct formation to adverse genetic outcomes. 

Strategy

Provides a description of the approaches to the identification, screening and quality assessment of the data relevant to identification of the key events and key event relationships included in the AOP or AOP network.This information is important as a basis to support the objective/envisaged application of the AOP by the regulatory community and to facilitate the reuse of its components.  Suggested content includes a rationale for and description of the scope and focus of the data search and identification strategy/ies including the nature of preliminary scoping and/or expert input, the overall literature screening strategy and more focused literature surveys to identify additional information (including e.g., key search terms, databases and time period searched, any tools used). More help

My search strategy was supplemented by documentation and supporting references Overall Assessment from previously developed AOP descriptions, as well as established key events (KEs) and key event relationships (KERs). 

The initial literature identification strategy was informed by expert input from Dr. Carole Yauk, Emmanuelle Demuynck, and contributors at PARC. In parallel, developers of the original AOP had begun investigating the newly proposed KEs and KERs and provided an Excel file containing previously screened studies classified as either relevant or not relevant to the developing AOP. Studies confirmed to be relevant were imported into Covidence for further review. 

Beginning with a key paper recommended by Dr. Yauk, Connected Papers was used to identify related publications through citation mapping. This included both articles that cited the original paper and those referenced within it. 

Because relatively few studies were identified for developing KEs and KERs, through connected papers, the search strategy was expanded using a modified approach based on Huliganga et al. (2022). Broad literature searches were conducted through the University of Ottawa’s Omni search platform using Boolean queries with the “any field contains” option. Due to time constraints and the use of a single reviewer, only the first 50 results from each search were exported in RIS format and uploaded to Covidence. Inclusion criteria were developed using a modified PECO framework adapted from Huliganga et al. (2022). 

During title and abstract screening, notes were recorded in Covidence to indicate potential relevance to specific KEs or KERs. Full-text screening was then conducted to confirm these preliminary classifications and identify any additional relationships. Studies that provided support for a KE or KER were documented and retained for evidence of evaluation. 

Both biological plausibility and empirical evidence were assessed for each developing KE and KER to identify evidence gaps. This assessment revealed a lack of temporal evidence supporting the relationship between increased bulky DNA adducts (MIE) and chromosomal aberrations (AO2). 

To verify whether supporting studies existed for this relationship, additional targeted searches were conducted. These searches focused exclusively on the KER linking bulky DNA adducts and chromosomal aberrations, including variations of both terms and the use of the “any field contains the exact phrase” search option. The complete search queries are provided below. 

Because these targeted searches returned fewer than 50 results on average, title and abstract screening were conducted directly within Omni rather than through Covidence. However, the same inclusion criteria were applied. In total, 156 articles were screened across all search stages. 

The final search day was the 16th of July using OMNI, supplied by the University of Ottawa, to find any existing support for the KER: Increasing Bulky adducts -> Increase chromosomal aberrations. In this Boolean search, “Bulky DNA adducts” and “chromosomal aberrations" was used to yield 24 articles. Each article was read, first starting with discussion and results to determine if observations were of the desired key events. If the article included one of the desired key events, it was then read for background information and methods to determine inclusion based on the initial criteria. 

A key limitation of this review is the relatively small number of articles assessed. Additionally, the literature searches were conducted on different dates, which may have resulted in the omission of relevant studies or inconsistencies in article retrieval. 

Future reviews would benefit from conducting all searches on a single date and performing a final update search immediately before publication. This approach would help capture newly published studies and improve the completeness and reproducibility of the evidence-gathering process. 

Summary of the AOP

This section is for information that describes the overall AOP.The information described in section 1 is entered on the upper portion of an AOP page within the AOP-Wiki. This is where some background information may be provided, the structure of the AOP is described, and the KEs and KERs are listed. More help

Events:

Molecular Initiating Events (MIE)
An MIE is a specialised KE that represents the beginning (point of interaction between a prototypical stressor and the biological system) of an AOP. More help
Key Events (KE)
A measurable event within a specific biological level of organisation. More help
Adverse Outcomes (AO)
An AO is a specialized KE that represents the end (an adverse outcome of regulatory significance) of an AOP. More help
Type Event ID Title Short name
MIE 1879 Bulky DNA adducts, increase Bulky DNA adducts, increase
KE 155 Inadequate DNA repair Inadequate DNA repair
KE 1635 Increase, DNA strand breaks Increase, DNA strand breaks
AO 185 Increase, Mutations Increase, Mutations
AO 1636 Increase, Chromosomal aberrations Increase, Chromosomal aberrations

Relationships Between Two Key Events (Including MIEs and AOs)

This table summarizes all of the KERs of the AOP and is populated in the AOP-Wiki as KERs are added to the AOP.Each table entry acts as a link to the individual KER description page. More help

Network View

This network graphic is automatically generated based on the information provided in the MIE(s), KEs, AO(s), KERs and Weight of Evidence (WoE) summary tables. The width of the edges representing the KERs is determined by its WoE confidence level, with thicker lines representing higher degrees of confidence. This network view also shows which KEs are shared with other AOPs. More help

Prototypical Stressors

A structured data field that can be used to identify one or more “prototypical” stressors that act through this AOP. Prototypical stressors are stressors for which responses at multiple key events have been well documented. More help

Life Stage Applicability

The life stage for which the AOP is known to be applicable. More help
Life stage Evidence
All life stages High

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) can be selected.In many cases, individual species identified in these structured fields will be those for which the strongest evidence used in constructing the AOP was available. More help
Term Scientific Term Evidence Link
all species all species High NCBI

Sex Applicability

The sex for which the AOP is known to be applicable. More help
Sex Evidence
Unspecific High

Overall Assessment of the AOP

Addressess the relevant biological domain of applicability (i.e., in terms of taxa, sex, life stage, etc.) and Weight of Evidence (WoE) for the overall AOP as a basis to consider appropriate regulatory application (e.g., priority setting, testing strategies or risk assessment). More help

Overall, the biological plausibility of this AOP network is strong. Most of this network was originally developed by a team of experts within the Health and Environmental Sciences Institute’s Genetic Toxicology Technical Committee who have experience in research on DNA repair and genetic toxicology for decades. Most of the data, weight of evidence, and overall assessments for the original KEs and KERs were reused from the original AOP; it was past the scope of this initial project, but the resources will be updated in the future with new publications.  

Most of the new KEs of this AOP are lacking essentiality as this was out of the scope of this project but will be included in the future. For the KE inadequate repair, studies were found that overexpressed or even inhibited the repair mechanisms for removal of bulky adducts. In these studies, it was found that without inhibition there were lower levels of both mutations and aberrations and when repair was inhibited, the aberrations and mutations both increased significantly.  

Due to the limited time of this project and focusing on a single KER, not all evidence was able to be assessed for weight just yet but will be completed in the future. The evidence reused from the original AOP was mostly strong and moderate weight, lending a decent weight to the current AOP. The new KERs have yet to be developed except for one, which has overall Moderate weight, will require reassessment in the future.  

There are multiple modulating factors for this AOP. These, at the time of writing, mainly focus on polymorphisms in metabolization enzymes as well as repair insufficiencies. These have an impact on both upstream and downstream as they are affecting the concentration of adduct forming chemicals as well as the repair of the adducts preventing leading into aberrations and mutations.  

Our quantitative understanding of this AOP is limited at the time of writing. It is complex, due to the differences in tissues metabolism, damage rate, and repair. More understanding of these AOP’s quantitative relationships will be developed in the future as the rest of the AOP is developed and researched.  

Domain of Applicability

Addressess the relevant biological domain(s) of applicability in terms of sex, life-stage, taxa, and other aspects of biological context. More help

This AOP is, theoretically, applicable to any sex, life-stage, and taxa. Although the frequency of AOP occurrence may vary among tissues, the underlying biological mechanisms are applicable across tissues and organisms. Adduct formation can occur on any DNA in any organism. The adducts are primarily repaired through nucleotide excision repair (NER) which is a very well understood molecular pathway (Gillet et al., 2006; Reardon et al., 2005). The NER pathway is conserved throughout all organisms as the genes for excision repair have been found in all free-living organisms (Reardon et al., 2005). Repair of DNA strand breaks through homologous recombination (HR) and non-homologous end joining (NHEJ) is also conserved among eukaryotes. Chromosomal aberrations and mutations induced by bulky DNA adducts have been measured in blood cells and bone marrow of the Muta Mouse rodent model (Long et al., 2018) providing strong evidence for this key event relationship.  

Bulky DNA adducts and chromosomal aberrations are well-established events in humans. Georgidas et al. (2004, 2005) conducted multiple epidemiological studies finding DNA adducts and chromosomal aberrations in multiple populations exposed to environmental tobacco smoke and B[a]P. Bulky adducts can be measured through multiple methods (e.g., 32P-postlabeling, GC/MS, ELISA), and there are also multiple methods of quantifying chromosomal aberrations (e.g., conventional cytogenetic analysis, sister chromatid exchanges, analysis of micronuclei) (Rossner et al., 2021). Due to the advances in science, PCR-based approaches are increasingly availabe for mutation studies in humans (Matullo et al., 2001). Observations of the MIE and the two AOs of this AOP have been extensively documented in humans.  

Essentiality of the Key Events

The essentiality of KEs can only be assessed relative to the impact of manipulation of a given KE (e.g., experimentally blocking or exacerbating the event) on the downstream sequence of KEs defined for the AOP. Consequently, evidence supporting essentiality is assembled on the AOP page, rather than on the independent KE pages that are meant to stand-alone as modular units without reference to other KEs in the sequence. The nature of experimental evidence that is relevant to assessing essentiality relates to the impact on downstream KEs and the AO if upstream KEs are prevented or modified. This includes: Direct evidence: directly measured experimental support that blocking or preventing a KE prevents or impacts downstream KEs in the pathway in the expected fashion. Indirect evidence: evidence that modulation or attenuation in the magnitude of impact on a specific KE (increased effect or decreased effect) is associated with corresponding changes (increases or decreases) in the magnitude or frequency of one or more downstream KEs. More help

Essentiality of Inadequate DNA repair (KE1)

  • Effect of inadequate repair (KE1) on double-strand break frequency (KE2), mutation frequency (AO1) and chromosomal aberrations (AO2) 

    • Caco-2 cells were incubated with 10 µM N-OH-PhIP with or without an ATR inhibitor (ATRi). Upon induction with N-OH-PhIP, there was an elevated number of double-strand breaks. When ATRi was introduced, the number of double-strand breaks almost doubled (measured using a COMET assay). Non-transformed human colonic epithelial cells were incubated with 2.5 µM N-OH-PhIP in both the presence and absence of ATR inhibitor (ATRi). Control cells displayed low frequencies of aberrations, measured by light microscopy. Alone, N-OH-PhIP induced a slight increase in aberrations per cell population and per metaphase. Inhibition of ATR markedly increased the frequency of aberrations per cell and per metaphase. Combined exposure to N-OH-PhIP and ATRi potentiated the frequency of cells with aberrations and number of aberrations per metaphase spread (Mimmler et al., 2016).  

    • Increasing levels of BPDE resulted in increasing mutation frequency in Chinese hamster ovary cells (CHO) HPRT genes. At 500-nM BPDE there were ~1000 mutants per 1 million cells. However, when ABT888 (a PARP1 & PARP2 inhibitor) was introduced, the mutation frequency increased to ~1,500 per 1 million cells (Fischer et al., 2018). 

    • Both parent cells (AA8) and daughter cell line (UV5) were exposed to multiple mutagenic compounds (e.g., BaP, DMBA, 3-MC, 2-AAF, & Aflotoxin B1). The daughter UV5 cells lack the incision step of excision repair. For all mutagenic compounds, the daughter cells expressed higher sensitivity to mutagenicity than the parent cells (Thompson et al., 1983).  

Evidence Assessment

Addressess the biological plausibility, empirical support, and quantitative understanding from each KER in an AOP. More help
1. Support for biological plausibility Defining Question High (Strong) Moderate Low (Weak)
Is there a mechanistic relationship between KEup and KEdown consistent with established biological knowledge? Extensive understanding of the KER based on extensive previous documentation and broad acceptance. KER is plausible based on analogy to accepted biological relationships, but scientific understanding is incomplete

Empirical support for association between

KEs, but the structural or functional relationship between them is not understood.

MIE1 → KE1: Increase, Bulky DNA adducts leads to inadequate repair Moderate – The mechanistic interaction of bulky DNA adducts leading to inadequate repair is biologically plausible but not extensively researched. Due to structural changes as well as the induction of double strand breaks through stress on replication, it is biologically plausible that the repair systems would be inadequate to repair higher doses.  

KE1 → KE2: Inadequate DNA repair leads to Increase, DNA strand breaks

Strong – It is well understood that failed repair on replication fork stalls, induced by bulky adducts (as well as other DNA damage), leads to double strand and single strand breaks in the DNA structure.  
KE2 → KE1: Increase, DNA strand breaks leads to Inadequate DNA repair Strong – The repair systems involved with the repair of DNA strand breaks can be overwhelmed and saturated with too many repairs to keep up with. It is possible at this point to have the breaks to accumulate and persist after repair. 
KE1 → AO1: Inadequate repair leads to Increase, mutations Strong – Many studies have demonstrated a lack of repair leading to an increase in mutations in both model organisms, in vivo, and in human cell lines. These mechanisms are well understood and studied.  
KE1 → AO2: Inadequate repair leads to Increase, chromosomal aberrations Strong – With a lack, or at least inadequate, repair system of DSBs, it is possible for them to accumulate in the system. These persistent DNA double strand breaks have been associated as a significant precursor to chromosomal aberrations. There have been many studies detailing the different types of chromosomal aberrations resulting from different timings as well as the specific repair inadequacies.

Non-adjacent: 

KE2 →AO1: Increase, DNA strand breaks leads to Increase, mutations

Strong – DNA strand break repair has been extensively studied. Although DNA strand breaks themselves are not mutations, repair of DSBs through error-prone mechanisms such as non-homologous end joining (NHEJ) can generate mutations, including deletions, insertions, translocations, and occasionally base substitutions. 

Non-adjacent:

MIE → KE2: Increase, Bulky DNA adducts leads to Increase, DNA strand breaks

Moderate – It is known that bulky DNA adducts introduce replication fork stalling and eventually collapse. This collapse can result in double and single strand breaks. The exact quantitative relationship is not well known, as well as the rate of adducts needed to induce the strand breaks.  

Non-adjacent:

MIE → AO1: Increase, Bulky DNA adducts leads to Increase, mutations

Moderate – The plausibility for the increase in mutations from bulky DNA adducts is documented and has been studied. However, the direct interaction between the two is not quantified.  

Non-adjacent:

KE2→AO2: Increase, DNA strand breaks leads to Increase, chromosomal aberrations

Strong – Double strand breaks have been studied extensively and even been found to be a precursor specifically to chromosomal aberrations. Without strand breaks, there is a limited possibility of chromosomal aberrations occurring. Increasing breaks have been found to lead to an increasing number of aberrations (e.g. micronuclei formation).  

Non-adjacent: 

MIE → AO2: Increase, bulky DNA adducts leads to Increase, chromosomal aberrations

Strong – It is known that adducts lead to double strand breaks as well as collapses in replication forks. Double strand breaks are known to be a precursor and heavily involved in the formation of chromosomal aberrations.  
2. Support for Essentiality of KEs Defining Question High (Strong) Moderate Low (Weak)

Are downstream KEs and/or the AO prevented if an upstream KE is blocked?

Direct evidence from specifically designed experimental studies illustrating essentiality for at least one of the important KEs

Indirect evidence that sufficient modification of an expected modulating factor attenuates or augments a KE

No or contradictory experimental evidence of the essentiality of any of the KEs.

MIE: Increase, Bulky DNA adducts Moderate – Recent studies have demonstrated correlations between bulky DNA adduct formation, DNA double-strand breaks, the downstream KEs, and both AOs. However, there is limited evidence directly assessing the essentiality of bulky DNA adducts in the induction of chromosomal aberrations or mutations, as well as their causal relationship with downstream KEs. Therefore, the weight of evidence for essentiality is considered moderate. 
KE1: Inadequate repair Strong – Multiple studies have demonstrated the critical role of nucleotide excision repair (NER) in the removal of bulky DNA adducts. Inhibition or deficiency of NER results in increased mutation and chromosomal aberration frequencies, whereas enhanced repair capacity reduces these downstream effects. Together, these findings provide strong evidence that inadequate repair is essential for progression to downstream KEs and AOs. 
KE2: DNA strand breaks Moderate – Evidence for the essentiality of DNA strand breaks is limited. Most available studies assess strand breaks indirectly, and no studies were identified that directly evaluated whether preventing or reducing DNA strand breaks attenuates the downstream KEs or AOs. Consequently, evidence supporting essentiality is considered moderate.  
3. Empirical Support for KERs Defining Question High (Strong) Moderate Low (Weak)

Does empirical evidence support that a change in KEup leads to an appropriate change in KEdown?

Does KEup occur at lower doses and earlier time points than KE down and is the incidence of KEup> than that for KEdown?

Inconsistencies?

Multiple studies showing dependent change in both events following exposure to a wide range of specific stressors.

No or few critical data gaps or conflicting data

Demonstrated dependent change in both events following exposure to a small number of stressors.

Some inconsistencies with expected pattern that can be explained by various factors.

Limited or no studies reporting dependent change in both events following exposure to a specific stressor; and/or significant inconsistencies in empirical support across taxa and species that don’t align with hypothesized AOP.
MIE1 → KE1: Increase, Bulky DNA adducts leads to inadequate repair Low – There are currently a limited number of studies that quantitatively evaluate the effects of bulky DNA adducts on repair systems. 
KE1 → KE2: Inadequate DNA repair leads to Increase, DNA strand breaks Moderate – Multiple studies have directly measured the effects of inhibiting specific DNA repair enzymes or using repair-deficient cell lines on DNA strand break levels. However, the overall quantitative understanding of these relationships remains limited. In addition, there is a lack of studies demonstrating temporal concordance between inadequate repair and the occurrence of strand breaks.  
KE2 → KE1: Increase, DNA strand breaks leads to Inadequate DNA repair Moderate – DNA strand breaks and subsequent inadequate repair have been measured in numerous studies, providing evidence for dose-response and temporal concordance. However, the error rates and efficiencies of specific DNA repair mechanisms remain uncertain and, in some cases, controversial. 
KE1 → AO1: Inadequate repair leads to Increase, mutations Strong – Both in vitro and in vivo studies have consistently demonstrated that deficiencies in DNA repair result in increased mutation rates. Conversely, overexpression of repair proteins has been shown to reduce mutation frequencies, further supporting the causal relationship between these key events. 
KE1 → AO2: Inadequate repair leads to Increase, chromosomal aberrations Moderate – Multiple studies have reported associations between inadequate DNA repair and increased chromosomal aberrations. However, many of these studies assessed the two events indirectly, limiting the strength of evidence for temporal concordance. 

Non-adjacent: 

KE2 →AO1: Increase, DNA strand breaks leads to Increase, mutations

Moderate – Multiple in vitro and in vivo studies demonstrate both temporal and dose concordance between DNA strand breaks and mutation formation. These relationships have been observed across different stressors and exposure conditions, supporting concordance across multiple experimental systems.  

Non-adjacent:

MIE → KE2: Increase, Bulky DNA adducts leads to Increase, DNA strand breaks

Weak – Available studies primarily assess these events indirectly. While some investigations have measured biomarkers associated with strand breaks, such as micronuclei formation, relatively few studies have directly quantified DNA strand breaks alongside bulky DNA adducts. Consequently, evidence for temporal, dose-response, and incidence concordance is limited. 

Non-adjacent:

MIE → AO1: Increase, Bulky DNA adducts leads to Increase, mutations

Moderate – Several studies have directly measured both bulky DNA adduct formation and mutation frequency, allowing dose concordance to be inferred. However, there is a lack of studies specifically designed to assess temporal concordance and incidence concordance between these events, and the available evidence is generally limited in this regard.  

Non-adjacent:

KE2→AO2: Increase, DNA strand breaks leads to Increase, chromosomal aberrations

Moderate – Due to variability in the methods used to measure DNA strand breaks and chromosomal aberrations, the dose-response relationship remains incompletely characterized. However, evidence for temporal concordance is strong and has been demonstrated in both in vitro and in vivo studies. 

Non-adjacent:

MIE → AO2: Increase, bulky DNA adducts leads to Increase, chromosomal aberrations 

Moderate – Recent studies have directly measured chromosomal aberrations (e.g., micronuclei formation) alongside bulky DNA adduct levels or exposure of doses, providing evidence for dose concordance. However, there are limited, if any, studies specifically evaluating temporal and incidence concordance between these events. 

 

Known Modulating Factors

Modulating factors (MFs) may alter the shape of the response-response function that describes the quantitative relationship between two KES, thus having an impact on the progression of the pathway or the severity of the AO.The evidence supporting the influence of various modulating factors is assembled within the individual KERs. More help
Modulating Factor (MF) Influence or Outcome KER(s) involved

Medications 

Specific medications, like those used to treat cancer, can cause decreases in repair efficiency.   All KERs (all repair on adequate repair)  
Metabolizing polymorphisms  With a specific polymorphism it is possible to see an increase in metabolization of adduct forming chemicals  Increase, bulky DNA adducts  
Age  Lowers efficiency of repair, introduces more mutations, strand breaks, and overall stress.   Inadequate repair (increase), strand breaks (increase), chromosomal aberrations (increase), mutations (increase)  

Quantitative Understanding

Optional field to provide quantitative weight of evidence descriptors.  More help

Overall, the quantitative understanding of this AOP is weak. Due to the different LOGELs reported by Long et al. (2016) across all tested tissues, it is difficult to establish the quantitative relationships among the various KEs. In addition, several other factors must be considered, including polymorphisms in metabolizing proteins, deficiencies in DNA repair mechanisms, and aging. These factors can alter the quantitative relationships within the AOP and significantly affect its overall function. To achieve a comprehensive understanding of the quantitative aspects of this AOP, all KEs would need to be clearly defined and systematically studied across multiple tissues and cell-cycle phases to establish a reliable baseline.

Considerations for Potential Applications of the AOP (optional)

Addressess potential applications of an AOP to support regulatory decision-making.This may include, for example, possible utility for test guideline development or refinement, development of integrated testing and assessment approaches, development of (Q)SARs / or chemical profilers to facilitate the grouping of chemicals for subsequent read-across, screening level hazard assessments or even risk assessment. More help

Research is increasingly moving away from the use of animals and other living organisms toward in vitro and in silico models. To support this transition, it is important to first understand the basic biological mechanisms (i.e., the MIEs and KEs) to accurately develop future studies focused on relevant endpoints, while also preventing unnecessary testing for which relevant data already exist. 

This understanding is also important in the risk assessment process, even when the AOP is not biologically active at clinically relevant doses. This AOP can be used as a framework for determining the probability of agents inducing DNA adducts through different mechanism-based tests. In accordance with the Bradford–Hill criteria, this AOP can help determine whether a stressor induces bulky DNA adducts as a primary mechanism of action. 

Bulky DNA adducts are a well-established biomarker of exposure to a wide range of chemicals and can serve as a useful endpoint in risk assessment. Once it has been demonstrated that a chemical follows this AOP, it becomes possible to develop a quantitative assessment of the stressor using in vivo genotoxicity data (e.g., micronuclei formation or mutations). 

This AOP can inform various testing approaches, including more specific fit-for-purpose assays that quantitatively relate KEs to adverse genotoxic outcomes. In addition, this AOP document helps address gaps in the quantitative understanding of genomic damage induced by bulky DNA adducts. 

In conclusion, this AOP, as well as others like it, can be applied in many aspects of the regulatory assessment of chemicals. These applications include highlighting gaps and uncertainties in mechanisms of action (MOAs) and in the quantitative understanding of specific AOPs; facilitating the development of new testing strategies; identifying appropriate methods for evaluating untested chemicals and linking them to relevant AOPs; and ultimately influencing the research paradigm to improve the assessment of MOAs, apical endpoints, and the overall risk assessment framework. 

References

List of the literature that was cited for this AOP. More help

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