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Relationship: 2203

Title

A descriptive phrase which clearly defines the two KEs being considered and the sequential relationship between them (i.e., which is upstream, and which is downstream). More help

Decrease, Coupling of OXPHOS leads to Decrease, ATP pool

Upstream event
The causing Key Event (KE) in a Key Event Relationship (KER). More help
Downstream event
The responding Key Event (KE) in a Key Event Relationship (KER). More help

Key Event Relationship Overview

The utility of AOPs for regulatory application is defined, to a large extent, by the confidence and precision with which they facilitate extrapolation of data measured at low levels of biological organisation to predicted outcomes at higher levels of organisation and the extent to which they can link biological effect measurements to their specific causes.Within the AOP framework, the predictive relationships that facilitate extrapolation are represented by the KERs. Consequently, the overall WoE for an AOP is a reflection in part, of the level of confidence in the underlying series of KERs it encompasses. Therefore, describing the KERs in an AOP involves assembling and organising the types of information and evidence that defines the scientific basis for inferring the probable change in, or state of, a downstream KE from the known or measured state of an upstream KE. More help

AOPs Referencing Relationship

AOP Name Adjacency Weight of Evidence Quantitative Understanding Point of Contact Author Status OECD Status
Uncoupling of oxidative phosphorylation leading to growth inhibition via decreased cell proliferation adjacent High High You Song (send email) Open for citation & comment WPHA/WNT Endorsed
Uncoupling of oxidative phosphorylation leading to growth inhibition via ATP depletion associated cell death adjacent Moderate Not Specified You Song (send email) Open for citation & comment Under Development
Uncoupling of oxidative phosphorylation leading to growth inhibition via decreased Na-K ATPase activity adjacent You Song (send email) Under development: Not open for comment. Do not cite Under Development
Increase in reactive oxygen species leading to growth inhibition via lipid peroxidation and cell death adjacent High High You Song (send email) Under development: Not open for comment. Do not cite Under Development
Excessive reactive oxygen species leading to growth inhibition via protein oxidation and cell injury/death adjacent You Song (send email) Under development: Not open for comment. Do not cite
Peroxisome proliferator-activated receptor alpha activation leading to early life stage mortality via reduced adenosine triphosphate adjacent You Song (send email) Under development: Not open for comment. Do not cite
Increase in reactive oxygen species leading to growth inhibition via lipid peroxidation and decreased cell proliferation adjacent High High You Song (send email) Under development: Not open for comment. Do not cite Under Development
Increase in reactive oxygen species leading to growth inhibition via protein oxidation and decreased cell proliferation adjacent High High You Song (send email) Under development: Not open for comment. Do not cite Under Development
Increase in reactive oxygen species leading to growth inhibition via protein oxidation and cell death adjacent High High You Song (send email) Under development: Not open for comment. Do not cite Under Development

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) that help to define the biological applicability domain of the KER.In general, this will be dictated by the more restrictive of the two KEs being linked together by the KER.  More help
Term Scientific Term Evidence Link
zebrafish Danio rerio High NCBI
human Homo sapiens High NCBI
rat Rattus norvegicus High NCBI
mouse Mus musculus High NCBI

Sex Applicability

An indication of the the relevant sex for this KER. More help
Sex Evidence
Unspecific High

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help
Term Evidence
Embryo High
Juvenile High

Key Event Relationship Description

Provides a concise overview of the information given below as well as addressing details that aren’t inherent in the description of the KEs themselves. More help

This key event relationship describes the dissipation of protonmotive force across the inner mitochondrial membrane by uncouplers (uncoupling of oxidative phosphorylation), leading to reduced total adenosine triphosphate (ATP) pool in cells or organisms.

Evidence Collection Strategy

Include a description of the approach for identification and assembly of the evidence base for the KER. For evidence identification, include, for example, a description of the sources and dates of information consulted including expert knowledge, databases searched and associated search terms/strings.  Include also a description of study screening criteria and methodology, study quality assessment considerations, the data extraction strategy and links to any repositories/databases of relevant references.Tabular summaries and links to relevant supporting documentation are encouraged, wherever possible. More help

Update - non-endorsed (by You Song, 06/10/2026)

The evidence for this KER was collected through a manual review of the published literature, without the use of AI-based tools. Canonical knowledge on ATP production pathways and the efficiency of oxidative phosphorylation was taken from the review literature (Bonora et al., 2012; Schmidt-Rohr, 2020). Studies that measured both uncoupling of OXPHOS and ATP in the same experiment after exposure to uncouplers were identified for empirical support (Bestman et al., 2015; Shim et al., 2016; Weatherly et al., 2016, 2018; Kuruvilla et al., 2003; Sithara et al., 2017; Sweet and Singh, 1999; Koczor et al., 2009; Luz et al., 2016). Mathematical models and a regression-based relationship were reviewed for quantitative understanding (Beard, 2005; Schmitz et al., 2011; Heiske et al., 2017; Kubo et al., 2020; Song et al., 2020). No formal study quality assessment was performed.

Evidence Supporting this KER

Addresses the scientific evidence supporting KERs in an AOP setting the stage for overall assessment of the AOP. More help

The overall evidence supporting Relationship 2203 is considered high.

Biological Plausibility
Addresses the biological rationale for a connection between KEupstream and KEdownstream.  This field can also incorporate additional mechanistic details that help inform the relationship between KEs, this is useful when it is not practical/pragmatic to represent these details as separate KEs due to the difficulty or relative infrequency with which it is likely to be measured.   More help

The biological plausibility of Relationship 2203 is considered high.

Rationale: In eukaryotic cells, the major metabolic pathways responsible for ATP production are OXPHOS, citric acid (TCA) cycle, glycolysis and photosynthesis. Oxidative phosphorylation is much (theoretically 15-18 times) more efficient than the rest due to high energy derived from oxygen during aerobic respiration (Schmidt-Rohr 2020). As the ATP level is relatively balanced between production and consumption (Bonora 2012), ATP depletion is a plausible consequence of reduced ATP synthetic efficiency following uncoupling of OXPHOS.

Uncertainties and Inconsistencies
Addresses inconsistencies or uncertainties in the relationship including the identification of experimental details that may explain apparent deviations from the expected patterns of concordance. More help
  • A significant decrease followed by a significant increase in total ATP was observed in human RD cells during a 48h exposure to the uncoupler FCCP (Kuruvilla 2003), possibly due to the enhancement of other ATP synthetic pathways (e.g., glycolysis) as a compensatory action to impaired OXPHOS (Jose 2011).

Known modulating factors

This table captures specific information on the MF, its properties, how it affects the KER and respective references.1.) What is the modulating factor? Name the factor for which solid evidence exists that it influences this KER. Examples: age, sex, genotype, diet 2.) Details of this modulating factor. Specify which features of this MF are relevant for this KER. Examples: a specific age range or a specific biological age (defined by...); a specific gene mutation or variant, a specific nutrient (deficit or surplus); a sex-specific homone; a certain threshold value (e.g. serum levels of a chemical above...) 3.) Description of how this modulating factor affects this KER. Describe the provable modification of the KER (also quantitatively, if known). Examples: increase or decrease of the magnitude of effect (by a factor of...); change of the time-course of the effect (onset delay by...); alteration of the probability of the effect; increase or decrease of the sensitivity of the downstream effect (by a factor of...) 4.) Provision of supporting scientific evidence for an effect of this MF on this KER. Give a list of references.  More help

Update - non-endorsed (by You Song, 06/10/2026)

No modulating factors with quantified effects on this KER have been identified. The factors below are indicated by the studies cited in this KER.

Modulating factor Details Effects on the KER References
Compensatory ATP production Increased activity of the electron transport chain and activation of other ATP-synthesizing pathways (e.g., glycolysis) Mild uncoupling can be compensated, so ATP decreases less than the degree of uncoupling would suggest. In human RD cells exposed to FCCP for 48 h, a significant decrease in ATP was followed by a significant increase. Jose et al., 2011; Kuruvilla et al., 2003
Metabolic phenotype of the cell or tissue Relative reliance on glycolysis versus oxidative phosphorylation for ATP production Systems with higher glycolytic capacity are expected to maintain ATP better when OXPHOS coupling decreases. Jose et al., 2011
Response-response Relationship
Provides sources of data that define the response-response relationships between the KEs.  More help

A regression based quantitative response-response relationship between uncoupling of OXPHOS and ATP depletion was proposed for the crustacean Daphnia magna under UVB stress (Song 2020).

Update - non-endorsed (by You Song, 06/10/2026)

Across the other studies, ATP decreased in the same direction as uncoupling but usually by a smaller amount at the same exposure. For example, 50 µM CCCP for 1 h caused 77% uncoupling and a 25% ATP reduction in human HeLa cells (Koczor et al., 2009), 50 µM arsenite for 1 h caused about 45% uncoupling and a 20% ATP reduction in Caenorhabditis elegans (Luz et al., 2016), and 5 µM CCCP caused 71% uncoupling and a 64% ATP reduction in human HL-60 cells (Sweet and Singh, 1999). Likewise, higher concentrations were needed to reduce ATP than to uncouple OXPHOS, such as 15 versus 30 µM triclosan in zebrafish embryos (Shim et al., 2016), 10 versus 30 µM triclosan in rat RBL-2H3 cells (Weatherly et al., 2018), and 2 versus 20 µM FCCP in human RD cells (Kuruvilla et al., 2003). These data come from different uncouplers, cell types, and exposure durations, so they cannot be combined into a single function, and the general form of the relationship and the precision with which ATP depletion can be predicted from a measured degree of uncoupling have not been defined.

Time-scale
Information regarding the approximate time-scale of the changes in KEdownstream relative to changes in KEupstream (i.e., do effects on KEdownstream lag those on KEupstream by seconds, minutes, hours, or days?). More help

Update - non-endorsed (by You Song, 06/10/2026)

The time-scale varies with the system. Reductions in ATP were observed within 1 h of exposure to uncouplers in human HeLa cells and C. elegans (Koczor et al., 2009; Luz et al., 2016). In zebrafish embryos exposed to 0.5 µM 2,4-DNP, uncoupling of OXPHOS was significant after 21 h, whereas a significant reduction in ATP was observed only after 45 h (Bestman et al., 2015). In human RD cells exposed to FCCP, ATP decreased and then increased again within 48 h (Kuruvilla et al., 2003). The lag between uncoupling and ATP depletion can therefore range from less than an hour to about a day, depending on the organism, the stressor, and the compensatory capacity.

Known Feedforward/Feedback loops influencing this KER
Define whether there are known positive or negative feedback mechanisms involved and what is understood about their time-course and homeostatic limits. More help
  • It is known that mild uncoupling of oxidative phosphorylation can enhance the activity of the mitochondrial electron transport chain to produce more ATP, and/or activate other ATP synthetic pathways (e.g., glycolysis) as a compensatory action to impaired OXPHOS (Jose 2011)

Update - non-endorsed (by You Song, 06/10/2026)

Compensatory mechanisms act as negative feedback on this KER. ATP levels are normally balanced between production and consumption (Bonora et al., 2012), and mild uncoupling of oxidative phosphorylation can increase the activity of the electron transport chain to produce more ATP and activate other ATP-synthesizing pathways such as glycolysis (Jose et al., 2011). This compensation explains the transient decrease in ATP in RD cells (Kuruvilla et al., 2003). Its extent and homeostatic limits have not been quantified for this KER, but it is expected to be exceeded when uncoupling is strong or sustained. These mechanisms mainly shape the magnitude and time course of the ATP response and are therefore described here and not represented as separate KEs. No positive feedback or feedforward loops have been identified for this KER.

Domain of Applicability

A free-text section of the KER description that the developers can use to explain their rationale for the taxonomic, life stage, or sex applicability structured terms. More help

Taxonomic applicability

Relationship 2203 is considered applicable to eukaryotes, as mitochondrial oxidative phosphorylation and ATP synthesis are highly conserved in these organisms. Uncoupling of oxidative phosphorylation leading to ATP depletion is a well-documented relationship in many taxa, such as human, rodents and fish.

Sex applicability

Relationship 2203 is considered applicable to all genders, as mitochondrial oxidative phosphorylation and ATP synthesis are fundamental biological processes and are not sex-pecific.

Life-stage applicability

Relationship 2203 is considered applicable to all life-stages, as mitochondrial oxidative phosphorylation and ATP synthesis are essential energy production processes for maintaining basic biological activities.

References

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

Beard DA. 2005. A biophysical model of the mitochondrial respiratory system and oxidative phosphorylation. PLOS Computational Biology 1:e36. DOI: 10.1371/journal.pcbi.0010036.

Bestman JE, Stackley KD, Rahn JJ, Williamson TJ, Chan SS. 2015. The cellular and molecular progression of mitochondrial dysfunction induced by 2,4-dinitrophenol in developing zebrafish embryos. Differentiation 89:51-69. DOI: 10.1016/j.diff.2015.01.001.

Bonora M, Patergnani S, Rimessi A, De Marchi E, Suski JM, Bononi A, Giorgi C, Marchi S, Missiroli S, Poletti F, Wieckowski MR, Pinton P. 2012. ATP synthesis and storage. Purinergic Signalling 8:343-357. DOI: 10.1007/s11302-012-9305-8.

Heiske M, Letellier T, Klipp E. 2017. Comprehensive mathematical model of oxidative phosphorylation valid for physiological and pathological conditions. The FEBS Journal 284:2802-2828. DOI: https://doi.org/10.1111/febs.14151.

Jose C, Bellance N, Rossignol R. 2011. Choosing between glycolysis and oxidative phosphorylation: A tumor's dilemma? Biochimica et Biophysica Acta (BBA) - Bioenergetics 1807:552-561. DOI: https://doi.org/10.1016/j.bbabio.2010.10.012.

Koczor CA, Shokolenko IN, Boyd AK, Balk SP, Wilson GL, Ledoux SP. 2009. Mitochondrial DNA damage initiates a cell cycle arrest by a Chk2-associated mechanism in mammalian cells. J Biol Chem 284:36191-36201. DOI: 10.1074/jbc.M109.036020.

Kubo S, Niina T, Takada S. 2020. Molecular dynamics simulation of proton-transfer coupled rotations in ATP synthase FO motor. Scientific Reports 10:8225. DOI: 10.1038/s41598-020-65004-1.

Kuruvilla S, Qualls CW, Jr., Tyler RD, Witherspoon SM, Benavides GR, Yoon LW, Dold K, Brown RH, Sangiah S, Morgan KT. 2003. Effects of minimally toxic levels of carbonyl cyanide P-(trifluoromethoxy) phenylhydrazone (FCCP), elucidated through differential gene expression with biochemical and morphological correlations. Toxicol Sci 73:348-361. DOI: 10.1093/toxsci/kfg084.

Luz AT, Godebo TR, Bhatt DP, Ilkayeva OR, Maurer LL, Hirschey MD, Meyer JN. 2016. Arsenite Uncouples Mitochondrial Respiration and Induces a Warburg-Like Effect in Caenorhabditis elegans. Toxicol Sci 154:195-195. DOI: 10.1093/toxsci/kfw185.

Schmidt-Rohr K. 2020. Oxygen is the high-energy molecule powering complex multicellular life: fundamental corrections to traditional bioenergetics. ACS Omega 5:2221-2233. DOI: 10.1021/acsomega.9b03352.

Schmitz JPJ, Vanlier J, van Riel NAW, Jeneson JAL. 2011. Computational modeling of mitochondrial energy transduction.  39:363-377. DOI: 10.1615/CritRevBiomedEng.v39.i5.20.

Shim J, Weatherly LM, Luc RH, Dorman MT, Neilson A, Ng R, Kim CH, Millard PJ, Gosse JA. 2016. Triclosan is a mitochondrial uncoupler in live zebrafish. J Appl Toxicol 36:1662-1667. DOI: 10.1002/jat.3311.

Sithara T, Arun KB, Syama HP, Reshmitha TR, Nisha P. 2017. Morin inhibits proliferation of SW480 colorectal cancer cells by inducing apoptosis mediated by reactive oxygen species formation and uncoupling of Warburg effect. Frontiers in Pharmacology 8. DOI: 10.3389/fphar.2017.00640.

Song Y, Xie L, Lee Y, Tollefsen KE. 2020. De novo development of a quantitative adverse outcome pathway (qAOP) network for ultraviolet B (UVB) radiation using targeted laboratory tests and automated data mining. Environmental Science & Technology 54:13147-13156. DOI: 10.1021/acs.est.0c03794.

Sweet S, Singh G. 1999. Changes in mitochondrial mass, membrane potential, and cellular adenosine triphosphate content during the cell cycle of human leukemic (HL-60) cells. Journal of Cellular Physiology 180:91-96. DOI: https://doi.org/10.1002/(SICI)1097-4652(199907)180:1<91::AID-JCP10>3.0.CO;2-6.

Weatherly LM, Nelson AJ, Shim J, Riitano AM, Gerson ED, Hart AJ, de Juan-Sanz J, Ryan TA, Sher R, Hess ST, Gosse JA. 2018. Antimicrobial agent triclosan disrupts mitochondrial structure, revealed by super-resolution microscopy, and inhibits mast cell signaling via calcium modulation. Toxicol Appl Pharmacol 349:39-54. DOI: 10.1016/j.taap.2018.04.005.

Weatherly LM, Shim J, Hashmi HN, Kennedy RH, Hess ST, Gosse JA. 2016. Antimicrobial agent triclosan is a proton ionophore uncoupler of mitochondria in living rat and human mast cells and in primary human keratinocytes. Journal of Applied Toxicology 36:777-789. DOI: https://doi.org/10.1002/jat.3209.