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AOP: 322

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

Alkylation of DNA leading to decreased sperm count

Short name
A name that succinctly summarises the information from the title. This name should not exceed 90 characters. More help
Alkylation of DNA leading to decreased sperm count
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
Carole Yauk   (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
  • Carole Yauk
  • Xiaotong Wang
  • Francesco Marchetti

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 05, 2026 15:29

Revision dates for related pages

Page Revision Date/Time
Alkylation, DNA September 16, 2017 10:14
Inadequate DNA repair March 08, 2024 12:15
Increase, DNA strand breaks December 17, 2024 11:57
Decrease, Sperm count July 02, 2026 23:33
Apoptosis May 31, 2025 08:50
Alkylation, DNA leads to Decrease, Sperm count July 02, 2026 23:43
Alkylation, DNA leads to Inadequate DNA repair December 10, 2019 10:43
Inadequate DNA repair leads to Increase, DNA strand breaks July 03, 2026 13:37
Increase, DNA strand breaks leads to Apoptosis July 03, 2026 13:08
Apoptosis leads to Decrease, Sperm count July 03, 2026 13:12

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

Decreased sperm count is a key endpoint in the assessment of male reproductive health as it is directly associated with impaired fertility. Exposure to DNA alkylating agents, including chemotherapeutic drugs and environmental toxicants, is associated with reduced sperm counts in experimental models and humans. However, the progression from DNA lesions to reduced sperm output has not been systematically organized in an AOP framework. This AOP addresses that gap by describing how DNA alkylation can lead to inadequate DNA repair, increased DNA strand breaks, apoptosis, impaired spermatogenesis, and ultimately decreased sperm count. Although genotoxicity data are not routinely used as predictors of male fertility effects, this AOP provides a basis for evaluating when such data may be informative for reproductive toxicity assessment and for developing future predictive toxicology approaches.

This AOP initiates with DNA alkylation (molecular initiating event, MIE). Alkylation-induced DNA lesions can then overwhelm DNA repair capacity (key event, KE1: inadequate repair) and an accumulation of DNA strand breaks (KE2). Persistent or unrepaired DNA damage activates DNA damage response pathways, ultimately leading to apoptosis (KE3). When apoptosis occurs in male germ cells and supporting testicular cells, excessive depletion of the developing germ cell population and disruption of structural support and endocrine signaling in the testis lead to decreased sperm counts (adverse outcome, AO) in sexually mature males.

This pathway is supported by strong biological plausibility and moderate to strong empirical evidence across multiple model systems, including human data, though quantitative understanding remains limited.

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

The development of this AOP was motivated by the need to organize the well-established relationship between DNA alkylation and impaired male reproductive function into a formal mechanistic framework. DNA alkylation is a well-characterized form of genotoxic damage (Soll et al., 2017). In male spermatogonia and meiotic cells, alkylation of DNA in actively proliferating germ cells can trigger DNA damage responses, cell cycle arrest, and apoptosis, ultimately impairing spermatogenesis and leading to adverse reproductive outcomes (Kaina, 2003; Rübe et al., 2011; Li et al., 2025). Exposure to alkylating agents, particularly in the context of cancer chemotherapy, has long been associated with reduced sperm counts, oligozoospermia, azoospermia, and impaired fertility in males, with severity and recovery largely dependent on cumulative dose (reviewed by Howell and Shalet, 2005; Okada and Fujisawa, 2018). However, genotoxicity data are not routinely used as predictors of male fertility effects in reproductive toxicity assessment. This creates a need for a structured framework to evaluate when DNA damage in the male germline may be informative for reproductive hazard.

Human studies have reported associations between biomarkers of DNA alkylation and reduced sperm concentrations (Altakroni et al., 2021). Evidence from childhood cancer survivors also demonstrates that exposure during early life can impair germ cell populations and lead to reduced sperm production later in adulthood (Beaud et al., 2019; reviewed by Delessard et al., 2019). Experimental studies further demonstrate that alkylating agents produce dose-dependent and persistent reductions in sperm counts across species, including rodents, non-human primates, and humans (Meistrich, 1982a; Bucci and Meistrich, 1987; Hermann et al., 2009). Although DNA alkylation may occur during fetal, juvenile, or adult life stages, and can impair germ cell populations at any of these stages, the downstream events in this AOP involve spermatogenesis and sperm production; thus, the adverse outcome is manifested in sexually mature males.

This AOP branches from an existing AOP developed by Yauk et al., “Alkylation of DNA in Male Premeiotic Germ Cells Leading to Heritable Mutations” (AOP15), and contributes to the development of a broader AOP network for genotoxicity and reproductive toxicity.

An additional objective of this work is to facilitate the use of new approach methods (NAMs) in regulatory decision-making. By mechanistically linking early biological responses and adverse outcomes of regulatory concern, this AOP supports the development of novel models and screening tools to identify chemicals that may impair male fertility and provides a context for the use of data from NAMs. Additionally, by systematically organizing the existing knowledge on this topic we have identified key data gaps to guide future research in the field.

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

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 97 Alkylation, DNA Alkylation, DNA
KE 155 Inadequate DNA repair Inadequate DNA repair
KE 1635 Increase, DNA strand breaks Increase, DNA strand breaks
KE 1262 Apoptosis Apoptosis
AO 1757 Decrease, Sperm count Decrease, Sperm count

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
Title Adjacency Evidence Quantitative Understanding

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
Juvenile High
Prepubertal High
Adult, reproductively mature High
Fetal Moderate

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
human Homo sapiens High NCBI
Macaca mulatta Macaca mulatta Moderate NCBI
rat Rattus norvegicus High NCBI
mouse Mus musculus High NCBI

Sex Applicability

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

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

DNA alkylation can occur in all cell types. DNA repair processes and apoptotic pathways are conserved across species. While decreased sperm counts are measurable only after sexual maturity, the upstream KEs and KERs are biologically plausible and operative across fetal, juvenile, and adult life stages. Therefore, the overall biological domain of applicability of the AOP is considered relevant to male individuals exposed during fetal, juvenile, or adult stages, with manifestation of the AO occurring after reproductive maturation. In the male reproductive system, this AOP is most relevant when alkylation damage occurs in proliferating or meiotic germ cells that contribute directly to sperm production.

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

Overall, the essentiality of KEs in this AOP is supported primarily by indirect evidence from studies involving genetic manipulation, pharmacological intervention, and endpoint recovery, demonstrating that perturbation of upstream KEs is associated with corresponding changes in downstream KEs. A summary of the evidence supporting the essentiality of individual KEs and corresponding uncertainties or inconsistencies are provided in Table 1: summary of supporting evidence for essentiality of key events.    

Impairment of DNA repair and DNA damage response (DDR) pathways consistently results in increased DNA strand breaks (KE2) and downstream apoptosis (KE3) in the presence of alkylating agents, indicating that upstream KEs are required for progression of the pathway. Although simultaneous measurements of alkyl DNA adducts, repair capacity, and sperm production within the same study are limited, exposure studies involving alkylating agents consistently show that greater DNA damage is associated with more severe and persistent impairment of sperm production across species, including rodents, non-human primates, and humans (Meistrich, 1982a, 1982b; Bucci and Meistrich, 1987; Hermann et al., 2009, Meistrich et al., 1992; Howell and Shalet, 2005; Okada and Fujisawa, 2018; Beaud et al., 2019). Together, these findings support the functional importance of DNA alkylation and DDR-related processes in progression of this AOP.

Essentiality of DNA strand breaks (KE2) is supported by studies showing that disruption of DDR signaling pathways (e.g., ATM inhibition) can prevent apoptosis even when DNA damage is present (Rodrigues et al., 2013). These findings highlight that damage sensing and downstream DDR signaling are required for the pathway to progress toward apoptotic cell death.

Evidence supporting the essentiality of apoptosis (KE3) is provided by intervention studies showing that attenuation of apoptotic signaling is associated with recovery of sperm counts (AO). Concordant reversibility across upstream and downstream endpoints following chemical or biological intervention supports the contribution of apoptosis to the AO (Oyovwi et al., 2023; Yaman et al., 2018; Udefa et al., 2020; Ehghaghi et al., 2022). However, many protective interventions also modulate oxidative stress and inflammatory pathways simultaneously, making it difficult to isolate apoptosis as the sole driver of sperm recovery.

Uncertainties include limitations in study design (e.g., reliance on single collection timepoints that do not capture temporal progression or delayed changes in sperm output), assay specificity (e.g., distinguishing primary DNA strand breaks from apoptotic DNA fragmentation), and incomplete characterization of quantitative relationships. Nonetheless, the overall weight of evidence supports a moderate level of essentiality.

Table 1. Summary of Supporting Evidence for Essentiality of Key Events

Event

Direct Essentiality Evidence

Indirect Essentiality Evidence

Uncertainties or Inconsistency

DNA alkylation (MIE)

Limited direct evidence

Exposure to alkylating agents leads to dose-dependent loss of germ cells and subsequent reductions in sperm counts (AO) across species; recovery may occur following removal of the stressor In rodents, treatment with alkylating agents at increasing doses results in dose-dependent decreases in testicular or epididymal sperm counts (Meistrich, 1982a, 1982b; Bucci and Meistrich, 1987). In rhesus macaques, similar progressive, dose-dependent declines have been observed following busulfan exposure, with higher doses leading to more persistent reductions in sperm production (Hermann et al., 2009). In cancer patients, the use of DNA alkylating drugs is strongly associated with lower sperm counts; such link is not observed in patients receiving non-alkylating drugs (Beaud et al., 2019).

Repeated exposure to an alkylating agent caused a marked reduction in sperm counts in mice, with gradual recovery following cessation of exposure, demonstrating reversibility of the AO after removal of the stressor (Yin et al., 2014).

Formation of alkyl DNA adducts in germ cells has been demonstrated in vivo; however, there are limited integrated measurements of the MIE, downstream KEs, the AO in the same studies. Consequently, progression through the pathway is often inferred from the known mechanisms of alkylating agents.

Inadequate repair (KE1)

Depletion of O6-alkylguanine-DNA alkyltransferase (AGT/MGMT) leads to corresponding alterations in DNA strand break (KE2) formation

Key studies: Roos et al. (2004) linked DNA alkylation (MIE), impaired repair (KE1), DNA strand breaks (KE2), and apoptosis (KE3) in proliferating human lymphocytes. Inactivation of MGMT increases persistence of alkylation-induced lesions, resulting in replication-dependent strand break formation and subsequent apoptosis.

Carlsson et al. (2025) showed that pharmacological inhibition of MGMT enhanced N-nitrosodimethylamine-induced formation of DNA adducts (MIE), DNA strand breaks (KE2), and micronucleus formation in HepG2-CYP2E1 human liver cells.

Modulation of DNA repair (KE1) or DDR pathways leads to concurrent increases in DNA strand breaks (KE2) and apoptosis (KE3)  

Knockdown or knockout of CDKN2AIP, a regulator of DNA repair, leads to increased double strand breaks (DSBs) and apoptosis in mouse Sertoli cells and male germ cells (Cao et al., 2022).

Greater impairment of DDR pathways (Nbn/Atm double deletion) results in more DSBs and apoptotic cells than Nbn single deletion in mouse neuronal tissues (Rodrigues et al., 2013). Similarly, single or double deletion of Apc/p53 (Méniel et al., 2015), bidirectional genetic modulation of CIRKIL/Ku70 (Xiao et al., 2023), inhibition of the PI3K/mTOR pathway (Liu et al., 2014), or homologous recombination (Stringer et al., 2020), result in more DSBs and apoptosis than wildtype or single deletion models.

DNA repair capacity is not measured directly in many studies. Accumulation of DSBs following impairment of DDR pathways is interpreted as evidence of insufficient repair.

DNA strand breaks (KE2)

Blocking signaling downstream of DNA strand breaks (KE2) prevents apoptosis (KE3) ATM inactivation prevents apoptosis in eye retina, despite the presence of DSBs (Rodrigues et al., 2013).

Modulation of the magnitude of DNA strand breaks (KE2) is associated with a corresponding change in apoptosis (KE3) The intervention studies listed in indirect evidence for KE1 also demonstrate a graded response-response relationship between DSBs and apoptosis.

TUNEL staining may detect both primary strand breaks and apoptotic DNA fragmentation, when KE2 and KE3 are measured at overlapping timepoints. More specific DSB markers (e.g., γH2AX) were used in several studies.

The absence of detectable DNA strand breaks may reflect limitations in the sampling time and assay specificity/sensitivity (e.g., the alkaline comet assay may miss DSBs, or the 24-hour sampling window may miss transient, repaired lesions).

Apoptosis (KE3)

Limited direct evidence

Attenuation of apoptosis (KE3) leads to recovery of sperm counts (AO) Key study (Oyovwi et al., 2023): Pharmacological attenuation of apoptosis using quercetin fully reversed testicular damage and restored sperm counts following levetiracetam exposure in rats. Multiple KEs were measured in this study, including sperm DNA fragmentation index (KE2; inferred from aniline blue staining), apoptotic markers (KE3: caspase-3, p53, cytochrome c, Bcl-2), and the AO (testicular sperm counts and histological evidence of germ cell loss). The concordant reversal of these endpoints following the intervention provides strong support for the progression across KEs. Additional intervention studies using antioxidants or protective agents (e.g., L-carnitine, plant extracts, quercetin, selenium nanoparticles, and probiotics) demonstrate that reducing apoptotic signaling is associated with improved sperm counts following exposure to chemotherapeutic agents, toxicants, or radiation (Yaman et al., 2018; Udefa et al., 2020; Ehghaghi et al., 2022).

Protective agents often suppress inflammation and oxidative stress simultaneously. It is unclear if sperm recovery is due to reduced apoptosis or these co-activated pathways, or both. Apoptotic markers are often measured in whole testis homogenates and the AO is likely caused by apoptosis of mixed testicular cell populations. Inappropriate sampling time and high variability in sperm count data may lead to "false negatives" (Gur et al., 2023).

Evidence Assessment

Addressess the biological plausibility, empirical support, and quantitative understanding from each KER in an AOP. More help

Biological plausibility of KERs

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.

MIE  KE1: Alkylation, DNA leads to inadequate DNA repair

STRONG

Extensive evidence indicates that sufficiently high level of DNA alkylation can overwhelm cellular DNA repair machinery, leading to the persistence of DNA adducts and other unrepaired lesions. AGT, also known as MGMT in mammals, is an established suicide enzyme that can become saturated at high doses or after repeated exposure to alkylating agents, leading to inadequate DNA repair and accumulation of DNA alkyl adducts. This relationship is broadly conserved across species and cell types.

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

STRONG

DNA adducts and repair intermediates can accumulate when alkylation damage exceeds repair capacity in cells, including the depletion of AGT/MGMT. It is well established that persistence of unrepaired alkyl DNA lesions can interfere with DNA replication and promote replication fork stalling, leading to DNA strand breaks, which then activate DDR pathways. Extensive mechanistic evidence supports a causal relationship between inadequate DNA repair of alkylation-induced damage and increased DNA strand breaks.

KE2  KE3: Increase, DNA strand breaks leads to Apoptosis

STRONG

There is extensive mechanistic understanding of the DNA damage response pathways that link DNA strand breaks and apoptosis through both p53-dependent and independent mechanisms.

KE3  AO: Apoptosis leads to Decrease, Sperm Count

STRONG

Loss of testicular cells (e.g., developing germ cells and supportive somatic cells) through apoptosis disrupts normal testicular function to support spermatogenesis, resulting in a subsequent decrease in mature sperm output. These mechanisms are well established across mammalian systems.

MIE  AO: Alkylation, DNA leads to Decrease, Sperm Count

STRONG

The mechanistic linkage is conserved across species and supported by extensive knowledge of germ cell biology and toxicology. While alkylation damage can occur across all stages of spermatogenesis, effects on sperm counts are primarily driven by damage to proliferating and meiotic germ cells, whereas damage to post-meiotic cells predominantly affects sperm quality rather than quantity.

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.

AOP-level

MODERATE

Evidence supporting the essentiality of KEs is available from genetic and mechanistic studies. Modulation of DNA damage response and apoptotic pathways induce corresponding changes in downstream outcomes, including apoptosis and sperm counts. A limited number of studies provide more direct evidence of essentiality for specific KERs, while identifying a few essential signaling mediators involved in the transduction of DNA damage into apoptosis. However, such direct evidence is not consistently available across all KEs in the pathway, and much of the support remains indirect or context-specific.

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.

MIE  KE1: Alkylation, DNA leads to inadequate DNA repair

STRONG

Inadequate DNA repair is measured indirectly through persistence of DNA adducts or increases in mutations that result from unrepaired DNA damage. Extensive evidence from somatic and germ cells supports this KER (in particular for temporal concordance), although quantitative dose-response concordance is less well characterized. There are no apparent inconsistencies. Numerous studies demonstrate that alkyl DNA adducts persist when repair capacity is exceeded or repair pathways are impaired. In particular, saturation or depletion of AGT/MGMT results in increased persistence of O6-alkylguanine adducts, providing strong support for this KER.

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

MODERATE

Limited in vivo data are available. However, multiple in vitro and genetic studies demonstrate that impairment of DNA repair or DDR pathways result in increased accumulation and persistence of DNA strand breaks in both somatic cells and germ cells following exposure to genotoxic stressors. In the context of DNA alkylation, saturation or depletion of AGT/MGMT leads to persistence of O6-alkylguanine lesions, which are subsequently converted into DNA strand breaks, consistent with temporal concordance. Studies involving AGT depletion and repair-deficient systems provide empirical support for the essential role of inadequate repair of alkylation DNA damage in the accumulation of DNA strand breaks.

KE2  KE3: Increase, DNA strand breaks leads to Apoptosis

STRONG

Temporal concordance is consistently observed, with DNA strand breaks occurring earlier or concurrently with apoptotic responses across in vitro somatic and germ cells, and rodent models. Dose concordance is supported, although dose-response data are limited in some studies. Evidence for incidence concordance is supported by a small number of studies, while others are limited by lack of appropriate measurements.

KE3  AO: Apoptosis leads to Reduce, Sperm Count

STRONG

Concordant changes between increased apoptosis and decreased sperm counts are have been consistently observed across multiple in vivo rodent studies. Temporal alignment is biologically supported, although it is often inferred rather than directly measured. Evidence for dose concordance is limited as many studies used a single exposure dose, preventing assessment of dose-dependent changes. Incidence concordance is generally not assessed, as both apoptosis and sperm count are typically reported as continuous outcomes (e.g., group means) rather than as the proportion of individual animals meeting predefined criteria for increased apoptosis or reduced sperm counts. Nevertheless, the consistency of the empirical evidence, together with multiple intervention studies demonstrating recovery of sperm counts following attenuation of apoptotic signaling, provides strong support for this KER.

MIE  AO: Alkylation, DNA leads to Decrease, Sperm Count

STRONG

Empirical evidence from both experimental animal models and human studies supports a consistent relationship between DNA alkylation and reduced sperm counts. Although direct measurement of both KEs in the same study is limited, extrapolation across studies involving exposure to well-characterized alkylating agents provides strong empirical support for temporal and dose concordance. Reduction in sperm counts occur after delays consistent with spermatogenic progression, and higher exposures lead to greater and more sustained decreases in sperm counts across multiple studies and stressors.

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

Influence on Outcome

KER(s) involved

DNA repair capacity

Determines the threshold at which DNA alkylation damage exceeds repair capacity and leads to insufficient or incorrect repair; lower capacity increases persistence and numbers of DNA lesions and the severity of downstream effects.

MIEKE1

KE1KE2

KE2KE3

Exposure dose/duration

Exposure doses and duration are strong modulating factors of the magnitude of effects across KEs. Higher doses or prolonged exposure are expected to increase cumulative DNA damage, which can lead to more severe downstream effects. At overtly cytotoxic concentrations (i.e., >50%, in the context of in vitro genotoxicity testing), non-specific cytotoxicity can occur, making it difficult to attribute apoptotic responses and the AO specifically to DNA alkylation.

All KERs

Stress-related pathways

Co-activation of parallel stress response pathways, oxidative stress, and/or inflammation, can amplify DNA damage and apoptosis, enhancing downstream effects independent of DNA alkylation.

KE1KE2

KE2KE3

Germ cell developmental stage

Proliferating or differentiating germ cells are more susceptible to DNA alkylation damage. Damage in spermatogonial stem cells (SSCs) leads to long-term or permanent reductions in sperm counts; damage in later stages results in transient effects or reduces sperm quality rather than quantity.

KE2KE3

KE3AO

MIEAO

Spermatogenic kinetics

The delay between DNA damage and observable reduction in sperm counts, as well as the time required for recovery (if SSCs survive), is determined by species-specific spermatogenic kinetics.

KE3AO

MIEAO

Quantitative Understanding

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

The overall quantitative understanding of the KERs in this AOP is low. While individual KERs are supported by qualitative evidence of dose-response and temporal concordance, quantitative relationships between KEs are not well defined.

Some studies demonstrate graded changes between adjacent KEs following genetic or pharmacological modulation (e.g., KER2 and KER3), supporting response-response relationships. More details are provided in the individual KERs.

A threshold-based response is expected in this AOP, as DNA damage must exceed the repair capacity to propagate to downstream effects. In addition, a sufficient level of germ cell apoptosis is likely required before a measurable decline in sperm count occurs. However, several modulating factors have been identified, and the quantitative relationships are not generalizable across cell types, tissues, or developmental stages.

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

References

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

Altakroni, B., Nevin, C., Carroll, M., Murgatroyd, C., Horne, G., Brison, D. R. & Povey, A. C. (2021). The marker of alkyl DNA base damage, N7-methylguanine, is associated with semen quality in men. Scientific Reports, 11(1), 3121. https://doi.org/10.1038/s41598-021-81674-x

Beaud, H., Albert, O., Robaire, B., Rousseau, M. C., Chan, P. T. K. & Delbes, G. (2019). Sperm DNA integrity in adult survivors of paediatric leukemia and lymphoma: A pilot study on the impact of age and type of treatment. PLoS ONE, 14(12), e0226262. https://doi.org/10.1371/journal.pone.0226262

Bucci, L. R. & Meistrich, M. L. (1987). Effects of busulfan on murine spermatogenesis: cytotoxicity, sterility, sperm abnormalities, and dominant lethal mutations. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, 176(2), 259–268. https://doi.org/10.1016/0027-5107(87)90057-1

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