AOP-Wiki

AOP ID and Title:

AOP 237: Substance interaction with lung resident cell membrane components leading to atherosclerosis
Short Title: Interaction with lung cells leading to atherosclerosis

Graphical Representation

Authors

Claudia Torero Gutierrez1, Sarah Søs Poulsen1, Jorid Birkelund Sørli1,  Håkan Wallin2, Sabina Halappanavar3, Carole L. Yauk4, Ulla Vogel1,*

1The National Research Centre for the Working Environment, Denmark

2Statens Arbeidsmiljøinstitutt, Norway

3Health Canada, Canada

4University of Ottawa, Canada

*Corresponding author: Ulla Vogel (ubv@nfa.dk)

Status

Author status OECD status OECD project SAAOP status
Under development: Not open for comment. Do not cite Under Development 1.55 Included in OECD Work Plan

Abstract

The present adverse outcome pathways (AOP) presents the link between the interaction of stressors of the pulmonary system and atherosclerosis. After interaction with the lung cell membrane, stressors can induce the release of pro-inflammatory factors, which in turn triggers the expression of acute phase proteins genes in the lungs and other tissues. Serum amyloid A (SAA) and C-reactive protein (CRP) are the major acute phase proteins in humans, and are considered risk factors for cardiovascular disease (Table 1 presents selected differences between acute phase response in humans and mice). In particular, serum amyloid A restricts the transport of cholesterol to the liver, allowing the accumulation of cholesterol in arteries and the formation of foam cells, an early marker of atherosclerosis.

Table 1. Selected differences in acute phase response between humans and mice.

Characteristic

Humans

Mice

Number of identified genes involved in acute phase reponse

62

62

Major acute phase proteins

CRP, SAA

Haptoglobin, SAA, serum amyloid P

Moderate and minor acute phase proteins

Haptoglobin, fibrinogen, α1 acid glycoprotein

CRP, fibrinogen

SAA isoforms

Saa1, Saa2 and Saa4

Saa1, Saa2, Saa3 and Saa4

References: 1-4.

This AOP mainly focus on particles or particulate matter as stressors, however other inflammatory conditions that induce acute phase response, can be consider stressors and lead to atherosclerosis. In addition, most of the evidence is based on animal studies (mice) as a model for the human system, however the adverse outcome of the present AOP, atherosclerosis, is only applicable for humans. The AOP can be used for regulatory purposes and to risk assess inhalable materials having acute phase response as the critical effect.

Background

Cardiovascular disease (CVD) is the leading cause of death worldwide, being responsible for 32% of all deaths in 2019 (WHO: http://www.who.int). The term CVD covers all diseases of the cardiovascular system, including atherosclerosis, which is manifested as increased plaque deposition or build-up in the arteries. Although, atherosclerosis is not a cause of death, it can lead to fatal conditions as stroke and myocardial infarction. Atherosclerosis is normally asymptotic disease and is initiated by a biological, chemical or physical insult to the artery walls. This leads to the expression of cell adhesion molecules (selectins, VCAM-1 and ICAM-1) on the endothelial lining of the arteries, which facilitates the activation, recruitment, and migration of monocytes through the endothelial monolayer 5,6. Inside the intima layer, the monocytes differentiate into macrophages and internalize fatty deposits (mainly oxidized low-density lipoprotein). This results in them transforming into foam cells, which is a major component of the atherosclerotic fatty streaks. The fatty streaks reduce the elasticity of the artery walls and the foam cells promote a pro-inflammatory environment by secretion of cytokines and ROS. In addition, foam cells also induce the recruitment of smooth muscle cells to the intima. Added together, these changes lead to the formation of plaques on the artery walls. A fibrous cap of collagen and vascular smooth muscle cells protects the necrotic core and stabilizes the plaque 7,8. However, blood clots can be formed if the plaque ruptures. These may travel with the bloodstream and obstruct the blood flow of smaller vessels, eg. the coronary arteries, which ultimately can lead to myocardial infarction.

Inhalation of particulate matter, chemicals and pathogens have been related to increased pulmonary inflammation. Whereas a normal immune reaction is crucial for effective elimination of threats to the body, chronic and unresolved inflammation has been linked to both adverse pulmonary and adverse systemic effects in humans. In concordance with this, various retrospective and prospective epidemiological studies have linked pulmonary exposure to respirable air particulates with increased the risk of developing CVD 9-12. Inhalation of particles has been proposed to affect the cardiovascular system in several different ways, including through disruption of vasomotor function and through acceleration of plaque progression in atherosclerosis 13,14.

The development of the present AOP was supported by the EU project NanoPASS (Grant number: 101092741) and the Focused Research Effort on Chemicals in the Working Environment (FFIKA) form the Danish Government.

Summary of the AOP

Events

Molecular Initiating Events (MIE), Key Events (KE), Adverse Outcomes (AO)

Sequence Type Event ID Title Short name
MIE 1495 Substance interaction with the lung resident cell membrane components Interaction with the lung cell membrane
KE 1496 Increased, secretion of proinflammatory mediators Increased proinflammatory mediators
2 KE 1438 Transcription of acute phase proteins, Increased Increased transcription of APP
3 KE 1439 Systemic acute phase response Systemic APR
7 AO 1443 Atherosclerosis Atherosclerosis

Key Event Relationships

Upstream Event Relationship Type Downstream Event Evidence Quantitative Understanding
Substance interaction with the lung resident cell membrane components adjacent Increased, secretion of proinflammatory mediators High Low
Increased, secretion of proinflammatory mediators adjacent Transcription of acute phase proteins, Increased High Moderate
Transcription of acute phase proteins, Increased adjacent Systemic acute phase response High Moderate
Systemic acute phase response adjacent Atherosclerosis High High
Substance interaction with the lung resident cell membrane components non-adjacent Transcription of acute phase proteins, Increased High Moderate
Substance interaction with the lung resident cell membrane components non-adjacent Systemic acute phase response High Moderate
Increased, secretion of proinflammatory mediators non-adjacent Systemic acute phase response High Moderate
Substance interaction with the lung resident cell membrane components non-adjacent Atherosclerosis High Moderate

Stressors

Name Evidence
Lipopolysaccharride Not Specified
Graphene oxide nanoparticles Not Specified
Carbon nanotubes Not Specified
Insoluble nano-sized particles Not Specified
Virus Not Specified

Overall Assessment of the AOP

Domain of Applicability

Life Stage Applicability
Life Stage Evidence
Adult High
Taxonomic Applicability
Term Scientific Term Evidence Links
human Homo sapiens High NCBI
mouse Mus musculus High NCBI
Sex Applicability
Sex Evidence
Male High
Female High

This AOP is applicable to adult humans of both sexes. Although atherosclerosis is a condition that begins during childhood and progresses through life, its clinical manifestation is mostly observed in older individuals 15.

The AOP is applicable to all stressors that can be inhaled and, therefore, interact with the pulmonary system, and induce pulmonary inflammation if the dose is high enough.

Essentiality of the Key Events

Support for essentiality of KEs

Defining question

High

Moderate

Low

What is the impact on downstream KEs and/or the AO if an upstream KE is modified or prevented?

Direct evidence from specifically designed experimental studies illustrating prevention or impact on downstream KEs and/or the AO if upstream KEs are blocked or modified

Indirect evidence that modification of one or more upstream KEs is associated with a corresponding (increase or decrease) in the magnitude or frequency of downstream KEs

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

MIE: Substance interaction with the lung resident cell membrane components

Moderate.

It has been observed that there is a dose-response relationship between the dose of the stressor (i.e. substance interaction with lung cells), and acute phase response outcomes (KE2 and KE3).

 

In addition, Danielsen et al. showed that Toll-like receptor 4 (Tlr4) knockout mice exposed to LPS, known to be a agonist for TLR4, did not induce an increase in cytokine/chemokines mRNA levels in lung and liver tissues (KE1) and did not produce a systemic acute phase response (KE3) 16. Toll-like receptor 2 (Tlr2) knockout mice exposed to multiwalled carbon nanotubes did not induce increased Saa1 mRNA levels in liver tissue (KE2) and did not induce increased SAA1 levels in plasma (KE3) 16.

KE1: Increased, secretion of proinflammatory mediators

Strong.

 

Mice presenting IL-6 gene disruption (IL-6-/-) shown a reduced response in liver mRNA levels (KE2) and serum levels (KE3) of the acute phase proteins haptoglobin, α1-acid glycoprotein and serum amyloid a, after challenged by turpentine, lipopolysaccharide and bacterial infection 17.

 

In an in vitro study, blocking IL-6 receptors in hepatic cell lines resulted in a reduction of SAA1 mRNA (KE2), while blocking IL-1β and TNF-α receptors partially reduced the expression of SAA1 mRNA 18.

 

In a clinical trial study, patients with a history of myocardial infarction where administered with a monoclonal antibody for IL-1β (canakinumab). The results showed that the treatment significantly reduced blood CPR levels in a dose-dependent manner (KE2 and KE3) after 48 months, and there was a decrease in incidence rate of recurrent cardiovascular events (AO) 19.

KE2: Acute phase proteins transcription, Increased

Strong.

 

Gene transcription is necessary for the synthesis of proteins (KE3). Thompson et al. showed that suppression of SAA3 in SAA1/SAA2 double knockout mice produced a significant reduction of atherosclerotic plaque area (AO) 20.

KE3: Systemic acute phase response

Strong.

 

Studies using animal model of atherosclerosis have shown that elevated levels of SAA induces plaque progression (AO) 20,21. In prospective epidemiological studies, CRP and SAA levels are predictive of risk of cardiovascular disease 22,23.

Uncertainties or Inconsistencies

Atherosclerosis is a disease influenced by multiple factors including high levels of lipoproteins in blood, elevated blood pressure, smoking, obesity, type 2 diabetes, diet, physical activity, among others 15,24,25. As described by Libby, inflammation is also involved in atherosclerosis, providing mechanisms for the risk factors to induce atherosclerotic plaque formation and progression 26,27. Therefore, although inflammation and acute phase response are not the only causes of atherosclerosis, the early key events (KE1, KE2 and KE3) can be used to evaluate the particle-induced risk to developing atherosclerosis.

CRP and SAA are risk factors for cardiovascular disease 23. However, Mendelian randomization studies have shown that CRP genotypes are not associated with risk of coronary heart disease and that genetically elevated levels of CRP are not associated with coronary heart disease risk 28,29. In humans, measuring gene expression of acute phase proteins is not very common, as a tissue sample is needed, while measuring acute phase protein in blood is more common.

In mice studies, it is possible to measure both SAA gene expression and protein levels, however the dynamic range for Saa gene expression is larger. Although it is suggested that acute phase proteins are mainly produced in the liver 2, it has been shown that in mice the liver has little upregulation of Saa genes after exposure to ultrafine carbon particles or diesel exhaust particle. On the other hand, the lung shows a marked expression of Saa3 mRNA 30,31.

There is an inconsistency with the results from human studies. It has been observed that in most controlled human studies, an increase in CRP and/or SAA was observed after exposure to particulate matter 32-37. However, in other human studies the exposure did not induce acute phase response 38,39, maybe due to low levels of exposure 40 or limited statistical power.

In the case of nanomaterials, it has been shown that physicochemical characteristics as size, surface area, surface functionalization, shape, composition, among others, affect the magnitude and duration of acute phase response in mice 41-43. In animal models, both inflammatory and acute phase response are predicted by the total surface area of the retained, insoluble particles 42,44

 

Weight of Evidence Summary

Biological plausibility of each KER

Support for Biological Plausibility of KERs

Defining question

High

Moderate

Low

Is there a mechanistic (i.e., structural or functional) relationship between KEup and KEdown consistent with established biological knowledge?

Extensive understanding based on extensive previous documentation and broad acceptance -Established mechanistic basis

The KER is plausible based on analogy to accepted biological relationships but scientific understanding is not completely established.

There is empirical support for a statistical association between KEs (See 3.), but the structural or functional relationship between them is not understood.

MIE => KE1: Interaction with the lung cell membrane leads to Increased proinflammatory mediators

Biological Plausibility of the MIE => KE1 is High.

 

Rationale: There is extensive evidence showing that interaction of stressors with the respiratory system induces the release of proinflammatory markers.

KE1 => KE2: Increased proinflammatory mediators leads to Increased transcription of acute phase proteins

Biological Plausibility of the KE1 => KE2 is High.

 

Rationale: Acute phase proteins are induced by pro-inflammatory cytokines. These cytokines are produced at sites of inflammation mainly by monocytes and macrophages.

KE2 => KE3: Increased transcription of acute phase proteins leads to Systemic acute phase response

Biological Plausibility of the KE2 => KE3 is High.

 

Rationale: After gene expression of acute phase proteins in tissues during inflammatory conditions, mRNA is translated and folded into proteins. These proteins are then release to the systemic circulation.

 

KE3 => AO:  Systemic acute phase response leads to Atherosclerosis

Biological Plausibility of the KE3 => KE2 is High.

 

Rationale: During acute phase response, serum amyloid A replaces apolipoprotein A-1 from high-density lipoprotein. This replacement obstructs the reverse transport of cholesterol to the liver, allowing the formation of foam cells, an early marker of atherosclerotic lesions.

Non-adjacent

MIE => KE2:

Interaction with the lung cell membrane leads to Increased transcription of acute phase proteins

Biological Plausibility of the MIE => KE2 is High.

 

Rationale: Acute phase response occurs during inflammatory condition, including the interaction of stressor with the airways. There is extensive evidence that nanomaterials induce the expression of acute phase response genes in mice.

 

Non-adjacent

MIE => KE3:

Interaction with the lung cell membrane leads to Systemic acute phase response

Biological Plausibility of the MIE => KE3 is High.

 

Rationale: There is plenty of evidence showing that inhalation or instillation of stressors induces systemic acute phase response in humans and mice.

Non-adjacent KE1 => KE3: Increased proinflammatory mediators leads to Systemic APR

Biological Plausibility of the KE1 => KE3 is High.

 

Rationale: Pro-inflammatory cytokines induce the release of acute phase proteins. These proteins are releases from inflammatory sites to the systemic circulation.

Non-adjacent

MIE => AO:

Interaction with the lung cell membrane leads to Atherosclerosis

Biological Plausibility of the MIE => AO is Moderate.

 

Rationale: There is evidence that the interaction of the lungs with stressor induces atherosclerotic plaque progression; however, the mechanistic relationship has not been clarified.

Please also refer to AOP173:  Substance interaction with the pulmonary resident cell membrane components leading to pulmonary fibrosis, which shares MIE and KE1 with the present AOP.

 

Empirical support for each KER

Empirical Support

Defining question

High

Moderate

Low

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

 

Are there inconsistencies in empirical support across taxa, species and prototypical stressor that don’t align with expected pattern for hypothesised AOP?

Multiple studies showing dependent change in both events following exposure to a wide range of specific prototypical stressors. (Extensive evidence for temporal, dose- response and incidence concordance) and no or few critical data gaps or conflicting data

Demonstrated dependent change in both events following exposure to a small number of specific prototypical stressors and some evidence inconsistent with expected pattern that can be explained by factors such as experimental design, technical considerations, differences among laboratories, etc.

 

 

 

Limited or no studies reporting dependent change in both events following exposure to a specific prototypical stressor (i.e., endpoints never measured in the same study or not at all); and/or significant inconsistencies in empirical support across taxa and species that don’t align with expected pattern for hypothesised AOP

MIE => KE1: Interaction with the lung cell membrane leads to Increased proinflammatory mediators

Empirical Support of the MIE => KE1 is Moderate.

 

Rationale: There are limited in vitro studies which show a temporal and dose-dependent relationship between these two events.

KE1 => KE2: Increased proinflammatory mediators leads to Increased transcription of acute phase proteins

Empirical Support of the KE1 => KE2 is High.

 

Rationale: There are is a large number of studies showing a dose concordance and temporal concordance.

KE2 => KE3: Increased transcription of acute phase proteins leads to Systemic acute phase response

Empirical Support of the KE2 => KE3 is High.

 

Rationale: There are is a large number of studies showing a dose concordance and temporal concordance. However, there are inconsistencies between gene expression and translation of acute phase proteins.

KE3 => AO:  Systemic acute phase response leads to Atherosclerosis

Empirical Support of the KE3 => AO is Moderate.

 

Rationale: There is a limited number of animal studies showing the relationship between the key events, in addition of epidemiological studies showing association between the key events.

Non-adjacent

MIE => KE2:

Interaction with the lung cell membrane leads to Increased transcription of acute phase proteins

Empirical Support of the MIE => KE2 is Moderate.

 

Rationale: There are is a large number of studies showing a dose concordance and temporal concordance in animal studies. However, in the case of nanomaterials it has been shown that physicochemical characteristics affect the magnitude and duration of the expression of acute phase proteins in mice.

 

Non-adjacent

MIE => KE3:

Interaction with the lung cell membrane leads to Systemic acute phase response

Empirical Support of the MIE => KE3 is Moderate.

 

Rationale: There are plenty of studies showing a dose concordance and temporal concordance in animal and controlled human studies. It has been observed that systemic acute phase response is not always observed after exposure.

Non-adjacent KE1 => KE3: Increased proinflammatory mediators leads to Systemic APR

Empirical Support of the KE1 => KE3 is Moderate.

 

Rationale: There is plenty of studies showing a dose concordance and temporal concordance. However, there are inconsistencies between changes in blood levels of pro-inflammatory mediators and systemic APR.

Non-adjacent

MIE => AO:

Interaction with the lung cell membrane leads to Atherosclerosis

Empirical Support of the MIE => AO is Moderate.

 

Rationale: There is a number of studies showing the relationship between the key events.

Quantitative Consideration

The table below presents a characterization of every KER.

It is important to clarify that when assessing stressors in mice studies, it is possible to measure the gene expression of acute phase proteins (KE2) in different tissues, however in humans this is not likely as a tissue sample would be required. On the other hand, in humans it is much more common and easier to measure systemic acute phase response (KE3) through a blood sample. In mice, it has been shown that Saa3 mRNA in lung tissue and blood levels of SAA3 are correlated 42. In addition, SAA levels in mice and humans seem to be in level in magnitude after exposure to zinc oxide nanoparticles 42. This suggest, that systemic acute phase response in humans can be estimated from mice studies.

In the case of nanomaterials and mice studies, Saa3 mRNA in lung tissue is also correlated to pulmonary inflammation measured as neutrophil numbers, and both of these endpoints can be estimated by calculating the dosed surface area (specific surface area multiplied by dose level) 42.

Finally, the relative risk of people developing a cardiovascular disease can be calculated from blood level of acute phase proteins in epidemiological studies.

KER

Quantitative understanding

MIE => KE1: Interaction with the lung cell membrane leads to Increased proinflammatory mediators

The quantitative understanding of MIE => KE1 is Low.

 

Rationale: The quantitative prediction of the release of proinflammatory factors can be made from the interaction of the stressors with the pulmonary system.

 

 In the case of some stressors (nanomaterials) it is possible to make a prediction using the dosed surface area of the materials and neutrophil numbers as an indirect marker of the release of pro-inflammatory factors.

KE1 => KE2: Increased proinflammatory mediators leads to Increased transcription of acute phase proteins

The quantitative understanding is of KE1 => KE2 is Moderate.

 

Rationale: In mice, the gene expression of the acute phase protein SAA after exposure to metal oxide nanomaterials can be estimated using an indirect marker of the release of pro-inflammatory factors (neutrophil numbers).

KE2 => KE3: Increased transcription of acute phase proteins leads to Systemic acute phase response

The quantitative understanding of KE2 => KE3 is Moderate.

 

Rationale: In mice, the systemic levels of the acute phase protein SAA after exposure to metal oxide nanomaterials can be estimated from the gene expression in lung tissue.

KE3 => AO:  Systemic acute phase response leads to Atherosclerosis

The quantitative understanding is of KE3 => AO is High.

 

Rationale: The risk of developing a cardiovascular disease at population level can be calculated from blood levels of acute phase proteins.

Non-adjacent

MIE => KE2:

Interaction with the lung cell membrane leads to Increased transcription of acute phase proteins

The quantitative understanding of MIE => KE2 is Moderate.

 

Rationale: In mice, the gene expression of the acute phase protein SAA after exposure to metal oxide nanomaterials can be estimated from the dosed surface area.

Non-adjacent

MIE => KE3:

Interaction with the lung cell membrane leads to Systemic acute phase response

The quantitative understanding of MIE => KE3 is Moderate.

 

Rationale: In mice, the blood levels of the acute phase protein SAA after exposure to metal oxide nanomaterials can be estimated from the dosed surface area.

Non-adjacent KE1 => KE3: Increased proinflammatory mediators leads to Systemic APR

The quantitative understanding of KE1 => KE3 is Moderate.

 

Rationale: In mice, the blood levels of the acute phase protein SAA after exposure to metal oxide nanomaterials and multiwalled carbon nanotubes can be estimated from neutrophil numbers in broncheoalveolar lavage fluid.

Non-adjacent

MIE => AO:

Interaction with the lung cell membrane leads to Atherosclerosis

The quantitative understanding of MIE => AO is Moderate.

 

Rationale: Epidemiological studies have shown the risk ratios of having a cardiovascular event per increase or decrease of exposure to particulate matter.

Considerations for Potential Applications of the AOP (optional)

Particle-induced acute phase response can be regarded as a critical effect linking particle-exposure to cardiovascular disease. Dose-response relationships can be used to establish no-observed-adverse-effect levels (NOAEL) for regulatory purposes and occupational exposure limits for inhalable materials can be determined through health-based risk assessments. This approach was taken by the Danish National Research Centre for the Working Environment at request of the Danish Working Environment Authority and an occupational exposure limit for zinc oxide was proposed based on the induction of acute phase response as the critical effect (the report can be found in: Dokumentation for helbredsbaserede grænseværdier for kemiske stoffer i arbejdsmiljøet (nfa.dk)).

As mentioned previously, not all KE can easily be measured in humans, therefore animal studies can be used to measure early KE and perform a risk assessment of different stressors. Additionally, physicochemical properties, such as specific surface area and dissolution, are important predictors of particle-induced acute phase response that can be used for hazard assessment 42

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40          Andersen, M. H. G. et al. Health effects of exposure to diesel exhaust in diesel-powered trains. Part Fibre Toxicol 16, 21, doi:10.1186/s12989-019-0306-4 (2019).

41          Poulsen, S. S. et al. Multi-walled carbon nanotube-physicochemical properties predict the systemic acute phase response following pulmonary exposure in mice. PLoS One 12, e0174167, doi:10.1371/journal.pone.0174167 (2017).

42          Gutierrez, C. T. et al. Acute phase response following pulmonary exposure to soluble and insoluble metal oxide nanomaterials in mice. Part Fibre Toxicol 20, 4, doi:10.1186/s12989-023-00514-0 (2023).

43          Bengtson, S. et al. Differences in inflammation and acute phase response but similar genotoxicity in mice following pulmonary exposure to graphene oxide and reduced graphene oxide. PLoS One 12, e0178355, doi:10.1371/journal.pone.0178355 (2017).

44          Cosnier, F. et al. Retained particle surface area dose drives inflammation in rat lungs following acute, subacute, and subchronic inhalation of nanomaterials. Part Fibre Toxicol 18, 29, doi:10.1186/s12989-021-00419-w (2021).

Appendix 1

List of MIEs in this AOP

Event: 1495: Substance interaction with the lung resident cell membrane components

Short Name: Interaction with the lung cell membrane

Key Event Component

Process Object Action
pattern recognition receptor signaling pathway increased
toll-like receptor signaling pathway Toll-like receptor increased
toll-like receptor 4 signaling pathway Toll-like receptor 4 increased

AOPs Including This Key Event

Biological Context

Level of Biological Organization
Molecular

Cell term

Cell term
eukaryotic cell

Evidence for Perturbation by Stressor

Overview for Molecular Initiating Event

As stated earlier, there are many different ways by which pro-fibrotic stressors can interact with the components of cell membrane and often involve multiple interactions at the same time. Few studies investigate the exact interaction between the stressor and the cellular membrane components. Asbestos and silica crystals engage scavenger receptors present on the macrophages (Murthy et al., 2015). Bleomycin binds high affinity bleomycin binding sites present on rat alveolar macrophage surfaces, leading to macrophage activation (Denholm and Phan, 1990). However, the consequences of such interactions such as, the release of PRR agonists DAMPs (alarmins) from dying or injured cells, increased  gene or protein synthesis downstream of receptor binding or in the case of NMs, their cellular uptake, are measured routinely as indicative of occurrence of such interactions (Nel et al., 2009; Cheng et al., 2013). Because of the phys-chem properties such as surface charge, NMs and asbestos like materials can bind to cellular macromolecules and cell surface/membrane components, which in turn, facilitate their uptake and intracellular sequestration by the cells (NIOSH, 2011a; Pascolo et al., 2013). Several DAMPs that can be effectively measured in biological samples and cultured cells include High Mobility Group Binding 1 (HMGB1) protein, Heat Shock proteins (HSPs), uric acid, annexins, and S100 proteins (Bianchi, 2007). Of all DAMPs, interleukin (IL)-1α is the most commonly measured alarmin. IL-1α is the principal pro-inflammatory moiety and is a designated ‘alarmin’ in the cell that alerts the host to injury or damage (Di Paolo and Shayakhmetov, 2016). It is shown that administration of necrotic cells to mice results in neutrophilic inflammation that was entirely mediated by IL-1α released from the dying or necrosed cells and consequent activation of IL-1 Receptor 1 (IL-1R1) signalling (Suwara et al., 2014). IL-1α is released following exposure to MWCNTs (Nikota et al., 2017) and silica (Rabolli et al., 2014). Although IL1-b is not a designated alarmin, its secretion following exposure to stressors is routinely assessed and is linked to initiation of cell or tissue injury.

Other high aspect ratio fibres such as asbestos and CNTs induce frustrated phagocytosis and acute cell injury (Boyles et al., 2015; Dörger et al., 2001; Brown et al., 2007; Kim et al., 2010; Poland et al., 2008), leading to DAMP release (Nikota et al, 2017), inflammation and immune responses.

Domain of Applicability

Taxonomic Applicability
Term Scientific Term Evidence Links
mouse Mus musculus High NCBI
rat Rattus norvegicus High NCBI
human Homo sapiens High NCBI
Life Stage Applicability
Life Stage Evidence
Adults High
Sex Applicability
Sex Evidence
Male High

Human, mouse, rat.

Although the expression of DAMPs following exposure to pro-fibrotic substances is not assessed across species, it is known that alarmins are released after trauma or injury, and their release is important for initiating the inflammatory response in all species including humans. The immediate acute inflammatory response involving DAMP signalling is also observed in human idiopathic pulmonary fibrosis (IPF); however, anti-inflammatory drugs have proven ineffective for treating IPF. Danger signalling axis including uric acid, adenosine triphosphate and IL-33/ST2 has been proven to promote lung fibrosis in animals.

Key Event Description

The human lung consists of approximately 40 different resident cell types that play different roles during homeostasis, injury, repair and disease states (Franks et al., 2008; Luettich et al., 2021). Of these, resident airway epithelial cells, alveolar/interstitial macrophages and dendritic cells are well characterised for their ability to sense the danger upon interaction with harmful substances and relay the message to mount the necessary immune/inflammatory response. The resident macrophages are present in all tissues, and in a steady state, macrophages contribute to epithelial integrity, survey the tissue for invading pathogens or chemicals and maintain an immunosuppressive environment. Their main function is to clear the incoming irritants and microbes. They are named differently based on the tissue type and their specific functions (Kierdorf et al., 2015).


Substance interactions:


The chemicals or pathogens interact with cellular membrane to gain access to the organisms’ interior. A predominant interaction mechanism involves the recognition of innate immune response agonists by pattern recognition receptors (PRRs) present on resident cells such as epithelial and alveolar macrophages. PRRs are also present on other immune and parenchymal cells. PRRs can be activated by two classes of ligands. Pathogen associated molecular patterns (PAMPs) are microbial molecules derived from invading pathogens. PAMPs will not be discussed further as pathogens are not the focus for the AOP presented here. The other class of ligands are called danger associated molecular patterns (DAMPs) that include cellular fragments, nucleic acids, small molecules, proteins and even cytokines released from injured or dying cells (Bianchi, 2007). Most fibrogenic stressors discussed in this AOP act via DAMPs-driven PRR activation. High aspect ratio (HAR) materials such as asbestos or carbon nanotubes (CNTs) pierce the cellular membrane of epithelial cells or resident macrophages resulting in cell injury or non-programmed cellular death. Alveolar macrophages trying to engulf HAR fibres that are long and stiff undergo frustrated phagocytosis because of their inability to engulf the piercing fibres and subsequently lead to cell injury (Boyles et al., 2015; Brown et al., 2007; Donaldson K et al., 2010; Dörger et al., 2001; Mossman and Churg, 1998). The cellular debris from injured or dying cell then serves as ligands for PRRs (Nakayama, 2018), leading to cell activation. In case of pro-fibrotic insoluble particles such as silica, coal dust and nanomaterials (NMs), the particle adsorbed opsonins such as immunoglobulins, complement proteins, or serum proteins act as ligands to the receptors on the macrophage cell surface (Behzadi et al., 2017). The tissue response to these materials resembles that observed following foreign body invasion in lungs.

Toll-like receptors (TLRs) are highly conserved PRRs that are associated with fibrogenic stressors (Desai et al., 2018). Inhibition of TLR-4 is protective against bleomycin-induced fibrosis (Li et al., 2015). However, the exact role and mechanisms by which TLRs mediate lung fibrosis are yet to be uncovered and some studies have shown TLRs to be protective against lung fibrosis (Desai et al., 2018). Asbestos and silica crystals are suggested to engage scavenger receptors present on the macrophages. Mice deficient in class A scavenger macrophage receptor with collagenous structure (MARCO) are shown to induce reduced fibrogenic response following chrysotile asbestos exposure; although, the direct binding of MARCO by asbestos is not investigated in the study (Murthy et al., 2015). In case of soluble substances such as bleomycin, paraquat (Dinis-Oliveira et al., 2008) (N,N'-dimethyl-4, 4′-bipyridinium dichloride) and other soluble fibrogenic chemicals, direct damage of lung epithelial cells and resulting cellular debris or secreted cytokines (DAMPs) serve as triggers for downstream cascading pro-inflammatory events, tissue injury and fibrosis. Engagement of PRRs and consequent cell activation is observed in various organisms including flies and mammals (Denholm and Phan, 1990; Matzinger, 2002).

How it is Measured or Detected

Detection of DAMPs or homeostasis-altering molecular processes:

Cellular interaction with substances or particles can be measured by assessing the release of DAMPs from stressed, injured or dying cells - indicative of binding of PRRs on the cell surface. Release of DAMPs is reflective of substance interaction with resident cells and their activation, a key step in the process of inflammation.

The release of DAMPs can be measured by the techniques listed in the published literature (Nikota et al., 2017; Rabolli et al., 2014; Suwara et al., 2014).

Targeted enzyme-linked immunosorbent assays (ELISA) (routinely used and recommended):

ELISA  – permits quantitative measurement of antigens in biological samples. For example, in a cytokine ELISA (sandwich ELISA), an antibody (capture antibody) specific to a cytokine is immobilised on microtitre wells (96-well, 386-well, etc.). Experimental samples or samples containing a known amount of the specific recombinant cytokine are then reacted with the immobilised antibody. Following removal of unbound antibody by thorough washing, plates are reacted with the secondary antibody (detection antibody) that is conjugated to an enzyme such as horseradish peroxidase, which when bound, will form a sandwich with the capture antibody and the cytokine (Amsen and De Visser, 2009). The secondary antibody can be conjugated to biotin, which is then detected by addition of streptavidin linked to horseradish peroxidase. A chromogenic substrate can also be added, which is the most commonly used method. Chromogenic substrate is chemically converted by the enzyme coupled to the detection antibody, resulting in colour change. The amount of colour detected is directly proportional to the amount of cytokine in the sample that is bound to the capture antibody. The results are read using a spectrophotometer and compared to the levels of cytokine in control samples where cytokine is not expected to be secreted or to the samples containing known recombinant cytokine levels.

Interleukin (IL)-1α and -1β is activated or secreted into the cytosol following stimulus (Di Paolo and Shayakhmetov, 2016). Targeted ELISA can be used to quantify IL-1α  or IL-1β that is released in the culture supernatant of the cells exposed to toxicants, in bronchoalveolar lavage fluid and serum of exposed animals. The assay is also applicable to human serum, cerebrospinal fluid, and peritoneal fluids.

Similarly, other alarmins can also be quantified by ELISA. Western blot is another method that can be used to quantify the release of various alarmins using specific antibodies. ELISA or real-time reverse transcription-polymerase chain reaction (qRT-PCR) assays can also be used to quantify the expression of genes or proteins that are regulated by the receptor binding – e.g. downstream of TLR binding.

Frustrated phagocytosis and cellular uptake of NMs:

In vitro, interaction of NMs with the cellular membrane is investigated by assessing their uptake by lysosomes (Chen et al., 2013; Nel et al., 2009; Varela et al., 2012). Immunohistochemistry methods targeting lysosome specific proteins are regularly employed for this purpose. In co-localisation experiments, lysosomal marker Lysosomal-associated membrane protein 1 (LAMP1) antibody is used to detect particle co-localisation with lysosomes. A combination of Cytoviva hyperspectral microscope and immunolocalisation (Decan et al., 2016) or confocal microscopy to visualise co-localisation of fluorescence labelled nanoparticles with lysosomal markers have been used.

Frustrated phagocytosis is assessed using microscopic techniques such as time-lapse microscopy, backscatter electron microscopy and others (Donaldson et al., 2010; Murphy et al., 2012; Padmore et al., 2017; Pascolo et al., 2013; Schinwald et al., 2012). In addition, MIE 1668 of AOP303 notes other indirect methods for measuring frustrated phagocytosis.  

Cellular co-culture models of the pulmonary epithelium:

Complex co-culture systems, such as those containing epithelial cells and immune cells, better model the environment of the lung epithelium and can be used to study the interaction of potentially pro-fibrotic fibres and particles with resident lung cells. This type of model has been used, alongside electron microscopy, to study lung cell interactions with CNTs following 24 h in vitro exposure (Clift et al., 2014). More recently, the EpiAlveolar model, which contains primary human alveolar epithelial cells, endothelial cells, as well as fibroblasts was assessed for its ability to predict fibrosis induced by CNTs (Barasova et al., 2020). Using laser scanning, fluorescence, and enhanced darkfield microscopy, CNT interaction with the resident cells of the model was shown, and this interaction induced the formation of holes in the epithelial model (Barasova et al., 2020). While new co-culture models are a better recapitulation of the native lung environment as compared to traditional mono-cultures, the increased complexity necessitates enhanced expertise in tissue culture techniques, and can make them less practical as compared to submerged mono culture methods. 

Ex vivo model of the lung – Precision cut lung slices (PCLS):

Even closer to the in vivo condition than co-culture models, PCLS techniques capture the native lung architecture, cell-cell communication and cellularity of the lung. Advancement in culturing and cryopreservation techniques has increased accessibility and use of PCLS for longer term studies (Bai et al., 2016, Neuhaus et al., 2017). These slices can be cultured ex vivo for up to a week with minimal reduction in viability, and the technique has recently been assessed for its applicability to assess nanomaterial induced fibrosis ex vivo (Rahman et al., 2020). Using multi-walled carbon nanotubes (MWCNTs) and darkfield microscopy, interaction between the nanofibers and the lung epithelium could be determined. The main downside of this technique is the animal requirement, which precludes their use in a first-pass screening context for the MIE.

References

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List of Key Events in the AOP

Event: 1496: Increased, secretion of proinflammatory mediators

Short Name: Increased proinflammatory mediators

Key Event Component

Process Object Action
cytokine production involved in inflammatory response Cytokine increased
chemokine secretion Chemokine increased
complement activation increased
Interleukin increased

AOPs Including This Key Event

Biological Context

Level of Biological Organization
Cellular

Cell term

Cell term
eukaryotic cell

Domain of Applicability

Taxonomic Applicability
Term Scientific Term Evidence Links
mouse Mus musculus High NCBI
rats Rattus norvegicus High NCBI
human Homo sapiens High NCBI
Life Stage Applicability
Life Stage Evidence
Adults High
Sex Applicability
Sex Evidence
Male High
Female High

Human, mouse, rat

Cytokines are the common pro-inflammatory mediators secreted following inflammogenic stimuli. Cytokines can be defined as a diverse group of signaling protein molecules. They are secreted by different cell types in different tissues and in all mammalian species, irrespective of gender, age or sex. A lot of literature is available to support cross species, gender and developmental stage application for this KE. The challenge is the specificity; most cytokines exhibit redundant functions and many are pleotropic.

Key Event Description

Pro-inflammatory mediators are the chemical and biological molecules that initiate and regulate inflammatory reactions. Pro-inflammatory mediators are secreted following exposure to an inflammogen in a gender/sex or developmental stage independent manner. They are secreted during inflammation in all species. Different types of pro-inflammatory mediators are secreted during innate or adaptive immune responses across various species (Mestas and Hughes, 2004). Cell-derived pro-inflammatory mediators include cytokines, chemokines, and growth factors. Blood derived pro-inflammatory mediators include vasoactive amines, complement activation products and others. These modulators can be grouped based on the cell type that secrete them, their cellular localisation and also based on the type of immune response they trigger. For example, members of the interleukin (IL) family including IL-2, IL-4, IL-7, IL-9, IL-15, IL-21, IL-3, IL-5 and Granulocyte-macrophage colony stimulating factor (GM-CSF) are involved in the adaptive immune responses. The pro-inflammatory cytokines include IL-1 family (IL-1α , IL-1β, IL-1rα, IL-18, IL-36α, IL-36β, IL-36γ, IL-36Rα, IL-37), IL-6 family, Tumor necrosis factor (TNF) family, IL-17, and Interferon gamma (IFN-γ) (Turner et al., 2014). While IL-4 and IL-5 are considered T helper (Th) cell type 2 response, IFN-γ is suggested to be Th1 type response.

Different types of pro-inflammatory mediators are secreted during innate or adaptive immune responses across various species (Mestas and Hughes, 2004). However, IL-1 family cytokines, IL-4, IL-5, IL-6, TNF-α, IFN-γ are the commonly measured mediators in experimental animals and in humans. Similar gene expression patterns involving inflammation and matrix remodelling are observed in human patients of pulmonary fibrosis and mouse lungs exposed to bleomycin (Kaminski, 2002).

Literature evidence for its perturbation:

Several studies show increased proinflammatory mediators in rodent lungs and bronchoalveolar lavage fluid, and in cell culture supernatants following exposure to a variety of carbon nanotube (CNT) types and other materials. Poland et al., 2008 showed that long and thin CNTs (>5 µm) can elicit asbestos-like pathogenicity through the continual release of pro-inflammatory cytokines and reactive oxygen species. Exposure to crystalline silica induces release of inflammatory cytokines (TNF-α, IL-1, IL-6), transcription factors (Nuclear factor kappa B [NF-κB], Activator protein-1 [AP-1]) and kinase signalling pathways in mice that contain NF-κB luciferase reporter (Hubbard et al., 2002). Boyles et al., 2015 found that lung responses to long multi-walled carbon nanotubes (MWCNTs) included high expression levels of pro-inflammatory mediators Monocyte chemoattractant protein 1 (MCP-1), Transforming growth factor beta 1 (TGF-β1), and TNF-α (Boyles et al., 2015). Bleomycin administration in rodents induces lung inflammation and increased expression of pro-inflammatory mediators (Park et al., 2019). Inflammation induced by bleomycin, paraquat and CNTs is characterised by the altered expression of pro-inflammatory mediators. A large number of nanomaterials induce expression of cytokines and chemokines in lungs of rodents exposed via inhalation (Halappanavar et al., 2011; Husain et al., 2015a). Similarities are observed in gene programs involving pro-inflammatory event is observed in both humans and experimental mice (Zuo et al., 2002).

How it is Measured or Detected

The selection of pro-inflammatory mediators for investigation varies based on the expertise of the lab, cell types studied and the availability of the specific antibodies.

Real-time reverse transcription-polymerase chain reaction (qRT-PCR) – will measure the abundance of cytokine mRNA in a given sample. The method involves three steps: conversion of RNA into cDNA by reverse transcription method, amplification of cDNA using the PCR, and the real-time detection and quantification of amplified products (amplicons) (Nolan et al., 2006). Amplicons are detected using fluorescence, increase in which is directly proportional to the amplified PCR product. The number of cycles required per sample to reach a certain threshold of fluorescence (set by the user – usually set in the linear phase of the amplification, and the observed difference in samples to cross the set threshold reflects the initial amount available for amplification) is used to quantify the relative amount in the samples. The amplified products are detected by the DNA intercalating minor groove-binding fluorophore SYBR green, which produces a signal when incorporated into double-stranded amplicons. Since the cDNA is single stranded, the dye does not bind enhancing the specificity of the results. There are other methods such as nested fluorescent probes for detection, but SYBR green is widely used. RT-PCR primers specific to several pro-inflammatory mediators in several species including mouse, rat and humans, are readily available commercially.

Enzyme-linked immunosorbent assays (ELISA) – permit quantitative measurement of antigens in biological samples. The method is the same as described for the MIE. Both ELISA and qRT-PCR assays are used in vivo and are readily applicable to in vitro cell culture models, where cell culture supernatants or whole cell homogenates are used for ELISA or mRNA assays. Both assays are straight forward, quantitative and require relatively a small amount of input sample.

Apart from assaying single protein or gene at a time, cytokine bead arrays or cytokine PCR arrays can also be used to detect a whole panel of inflammatory mediators in a multiplex method (Husain et al., 2015b). This method is quantitative and especially advantageous when the sample amount available for testing is scarce. Lastly, immunohistochemistry can also be used to detect specific immune cell types producing the pro-inflammatory mediators and its downstream effectors in any given tissue (Costa et al., 2017). Immunohistochemistry results can be used as weight of evidence; however, the technique is not quantitative and depending on the specific antibodies used, the assay sensitivity may also become an issue (Amsen and De Visser, 2009).

Cell models - of varying complexity have been used to assess the expression of pro-inflammatory mediators. Two dimensional submerged monocultures of the main fibrotic effector cells – lung epithelial cells, macrophages, and fibroblasts – have routinely been used in vitro due to the large literature base, and ease of use, but do not adequately mimic the in vivo condition (Sharma et al., 2016; Sundarakrishnan et al., 2018). Recently, the EpiAlveolar in vitro lung model (containing epithelial cells, endothelial cells, and fibroblasts) was used to predict the fibrotic potential of MWCNTs, and researchers noted increases in the pro-inflammatory molecules TNF-α, IL-1β, and the pro-fibrotic TGF-β using ELISA (Barasova et al., 2020). A similar, but less complicated co-culture model of immortalized human alveolar epithelial cells and idiopathic pulmonary fibrosis patient derived fibroblasts was used to assess pro-fibrotic signalling, and noted enhanced secretion of Platelet derived growth factor (PDGF) and Basic fibroblast growth factor (bFGF), as well as evidence for epithelial to mesenchymal transition of epithelial cells in this system (Prasad et al., 2014). Models such as these better capitulate the in vivo pulmonary alveolar capillary, but have lower reproducibility as compared to traditional submerged mono-culture experiments.

References

1. Amsen D, de Visser KE, Town T. Approaches to determine expression of inflammatory cytokines. Methods Mol Biol. 2009;511:107-42. doi: 10.1007/978-1-59745-447-6_5. 

2. Barosova H, Maione AG, Septiadi D, Sharma M, Haeni L, Balog S, O'Connell O, Jackson GR, Brown D, Clippinger AJ, Hayden P, Petri-Fink A, Stone V, Rothen-Rutishauser B. Use of EpiAlveolar Lung Model to Predict Fibrotic Potential of Multiwalled Carbon Nanotubes. ACS Nano. 2020 Apr 28;14(4):3941-3956. doi: 10.1021/acsnano.9b06860. 

3. Boyles MS, Young L, Brown DM, MacCalman L, Cowie H, Moisala A, Smail F, Smith PJ, Proudfoot L, Windle AH, Stone V. Multi-walled carbon nanotube induced frustrated phagocytosis, cytotoxicity and pro-inflammatory conditions in macrophages are length dependent and greater than that of asbestos. Toxicol In Vitro. 2015 Oct;29(7):1513-28. doi: 10.1016/j.tiv.2015.06.012. 

4. Costa PM, Gosens I, Williams A, Farcal L, Pantano D, Brown DM, Stone V, Cassee FR, Halappanavar S, Fadeel B. Transcriptional profiling reveals gene expression changes associated with inflammation and cell proliferation following short-term inhalation exposure to copper oxide nanoparticles. J Appl Toxicol. 2018 Mar;38(3):385-397. doi: 10.1002/jat.3548.

5. Halappanavar S, Jackson P, Williams A, Jensen KA, Hougaard KS, Vogel U, Yauk CL, Wallin H. Pulmonary response to surface-coated nanotitanium dioxide particles includes induction of acute phase response genes, inflammatory cascades, and changes in microRNAs: a toxicogenomic study. Environ Mol Mutagen. 2011 Jul;52(6):425-39. doi: 10.1002/em.20639. 

6. Hubbard AK, Timblin CR, Shukla A, Rincón M, Mossman BT. Activation of NF-kappaB-dependent gene expression by silica in lungs of luciferase reporter mice. Am J Physiol Lung Cell Mol Physiol. 2002 May;282(5):L968-75. doi: 10.1152/ajplung.00327.2001.

7. Husain M, Kyjovska ZO, Bourdon-Lacombe J, Saber AT, Jensen KA, Jacobsen NR, Williams A, Wallin H, Halappanavar S, Vogel U, Yauk CL. Carbon black nanoparticles induce biphasic gene expression changes associated with inflammatory responses in the lungs of C57BL/6 mice following a single intratracheal instillation. Toxicol Appl Pharmacol. 2015a Dec 15;289(3):573-88. doi: 10.1016/j.taap.2015.11.003.

8. Husain M, Wu D, Saber AT, Decan N, Jacobsen NR, Williams A, Yauk CL, Wallin H, Vogel U, Halappanavar S. Intratracheally instilled titanium dioxide nanoparticles translocate to heart and liver and activate complement cascade in the heart of C57BL/6 mice. Nanotoxicology. 2015b;9(8):1013-22. doi: 10.3109/17435390.2014.996192.

9. Kaminski N. Microarray analysis of idiopathic pulmonary fibrosis. Am J Respir Cell Mol Biol. 2003 Sep;29(3 Suppl):S32-6.

10. Mestas J, Hughes CC. Of mice and not men: differences between mouse and human immunology. J Immunol. 2004 Mar 1;172(5):2731-8. doi: 10.4049/jimmunol.172.5.2731.

11. Nolan T, Hands RE, Bustin SA. Quantification of mRNA using real-time RT-PCR. Nat Protoc. 2006;1(3):1559-82. doi: 10.1038/nprot.2006.236.

12. Park SJ, Im DS. Deficiency of Sphingosine-1-Phosphate Receptor 2 (S1P2) Attenuates Bleomycin-Induced Pulmonary Fibrosis. Biomol Ther (Seoul). 2019 May 1;27(3):318-326. doi: 10.4062/biomolther.2018.131.

13. Poland CA, Duffin R, Kinloch I, Maynard A, Wallace WA, Seaton A, Stone V, Brown S, Macnee W, Donaldson K. Carbon nanotubes introduced into the abdominal cavity of mice show asbestos-like pathogenicity in a pilot study. Nat Nanotechnol. 2008 Jul;3(7):423-8. doi: 10.1038/nnano.2008.111.

14. Prasad S, Hogaboam CM, Jarai G. Deficient repair response of IPF fibroblasts in a co-culture model of epithelial injury and repair. Fibrogenesis Tissue Repair. 2014 Apr 29;7:7. doi: 10.1186/1755-1536-7-7. 

15. Sharma M, Nikota J, Halappanavar S, Castranova V, Rothen-Rutishauser B, Clippinger AJ. Predicting pulmonary fibrosis in humans after exposure to multi-walled carbon nanotubes (MWCNTs). Arch Toxicol. 2016 Jul;90(7):1605-22. doi: 10.1007/s00204-016-1742-7. 

16. Sundarakrishnan A, Chen Y, Black LD, Aldridge BB, Kaplan DL. Engineered cell and tissue models of pulmonary fibrosis. Adv Drug Deliv Rev. 2018 Apr;129:78-94. doi: 10.1016/j.addr.2017.12.013.

17. Turner MD, Nedjai B, Hurst T, Pennington DJ. Cytokines and chemokines: At the crossroads of cell signalling and inflammatory disease. Biochim Biophys Acta. 2014 Nov;1843(11):2563-2582. doi: 10.1016/j.bbamcr.2014.05.014. 

18. Zuo F, Kaminski N, Eugui E, Allard J, Yakhini Z, Ben-Dor A, Lollini L, Morris D, Kim Y, DeLustro B, Sheppard D, Pardo A, Selman M, Heller RA. Gene expression analysis reveals matrilysin as a key regulator of pulmonary fibrosis in mice and humans. Proc Natl Acad Sci U S A. 2002 Apr 30;99(9):6292-7. doi: 10.1073/pnas.092134099.

Event: 1438: Transcription of acute phase proteins, Increased

Short Name: Increased transcription of APP

Key Event Component

Process Object Action
acute-phase response Acute phase proteins increased

AOPs Including This Key Event

Biological Context

Level of Biological Organization
Organ

Organ term

Organ term
lung

Domain of Applicability

Taxonomic Applicability
Term Scientific Term Evidence Links
mouse Mus musculus High NCBI
human Homo sapiens High NCBI
Life Stage Applicability
Life Stage Evidence
All life stages High
Sex Applicability
Sex Evidence
Male High
Female High
  • Taxonomic applicability: APR is part of the immune reponse and is obseved in vertebrate species3.
  • Life stage applicability: This key event is applicable to all life stages.
  • Sex applicability: This key event is applicable to male and female sexes.

Key Event Description

Acute phase response is characterized by the change in plasma concentration of acute phase proteins (APP), along with other physiological changes during inflammatory conditions 1,2. In humans, the major APPs are C-reactive protein and serum amyloid A, while in mice the major APPs are serum amyloid A, haptoglobin and serum amyloid P 1,3.

It is widely accepted than APPs are mainly produced by the liver, however several other tissues have been showed to express APPs; these include lungs, intestines, kidneys, skin and adipose tissue in humans 4-7, and kidney, spleen, brain, lung and testis in mice 8,9. According to National Center for Biotechnology Information (NCBI) serum amyloid A isoforms and C-reactive protein genes in mice have been shown to be expressed in tissue from adrenal gland, bladder, central nervous system, colon, duodenum, genital fat pad, heart, kidney, large intestine, limbs, liver, lung, mammary gland, ovary, placenta, small intestine, subcutaneous fat pad, testis and thymus10. In the case of humans, these genes have been shown to be expressed in tissue from adrenal gland, appendix, fat, gall bladder, heart, kidney, liver, lung, placenta, prostate, salivary gland, small intestine, stomach, thymus, thyroid, trachea and uterus10.

How it is Measured or Detected

Gene expression of APPs can be measured from tissue samples using quantitative Polymerase Chain Reaction (PCR). Humans and mice express four SAA isoforms (Saa1, Saa2, Saa3 and Saa4), however Saa3 is a pseudogene in humans11. CRP is expressed in humans and mice, although only moderately expressed in mice12.

It has been shown that in mice the Saa3 isoform is the most differentially expressed APP gene in lung tissue and it is not highly expressed in the liver, while Saa1 gene is the most differentially expressed in liver tissue after exposure to particles 13-15. In humans, it has been shown that crp, saa1, saa2 and saa4 gene expression can be measured in lung samples taken during surgery 16. In addition, microarray analysis can be used to evaluate the gene expression of several APPs at the same time 13.

References

1            Gabay, C. & Kushner, I. Acute-phase proteins and other systemic responses to inflammation. N Engl J Med 340, 448-454, doi:10.1056/NEJM199902113400607 (1999).

2            Mantovani, A. & Garlanda, C. Humoral Innate Immunity and Acute-Phase Proteins. N Engl J Med 388, 439-452, doi:10.1056/NEJMra2206346 (2023).

3            Cray, C., Zaias, J. & Altman, N. H. Acute phase response in animals: a review. Comp Med 59, 517-526 (2009).

4            Schrödl, W. et al. Acute phase proteins as promising biomarkers: Perspectives and limitations for human and veterinary medicine.  10, 1077-1092, doi:https://doi.org/10.1002/prca.201600028 (2016).

5            de Dios, O. et al. C-reactive protein expression in adipose tissue of children with acute appendicitis. Pediatr Res 84, 564-567, doi:10.1038/s41390-018-0091-z (2018).

6            Urieli-Shoval, S., Cohen, P., Eisenberg, S. & Matzner, Y. Widespread expression of serum amyloid A in histologically normal human tissues. Predominant localization to the epithelium. J Histochem Cytochem 46, 1377-1384, doi:10.1177/002215549804601206 (1998).

7            Venteclef, N., Jakobsson, T., Steffensen, K. R. & Treuter, E. Metabolic nuclear receptor signaling and the inflammatory acute phase response. Trends Endocrinol Metab 22, 333-343, doi:10.1016/j.tem.2011.04.004 (2011).

8            Kalmovarin, N. et al. Extrahepatic expression of plasma protein genes during inflammation. Inflammation 15, 369-379, doi:10.1007/BF00917353 (1991).

9            Saber, A. T. et al. Particle-induced pulmonary acute phase response correlates with neutrophil influx linking inhaled particles and cardiovascular risk. PLoS One 8, e69020, doi:10.1371/journal.pone.0069020 (2013).

10          NCBI. <https://www.ncbi.nlm.nih.gov/gene> (2023).

11          Shridas, P. & Tannock, L. R. Role of serum amyloid A in atherosclerosis. Curr Opin Lipidol 30, 320-325, doi:10.1097/MOL.0000000000000616 (2019).

12          Pepys, M. B. & Hirschfield, G. M. C-reactive protein: a critical update. J Clin Invest 111, 1805-1812, doi:10.1172/JCI18921 (2003).

13          Halappanavar, S. et al. Pulmonary response to surface-coated nanotitanium dioxide particles includes induction of acute phase response genes, inflammatory cascades, and changes in microRNAs: a toxicogenomic study. Environ Mol Mutagen 52, 425-439, doi:10.1002/em.20639 (2011).

14          Poulsen, S. S. et al. Multi-walled carbon nanotube-physicochemical properties predict the systemic acute phase response following pulmonary exposure in mice. PLoS One 12, e0174167, doi:10.1371/journal.pone.0174167 (2017).

15          Saber, A. T. et al. Particle-induced pulmonary acute phase response may be the causal link between particle inhalation and cardiovascular disease. Wiley Interdiscip Rev Nanomed Nanobiotechnol 6, 517-531, doi:10.1002/wnan.1279 (2014).

16          Calero, C. et al. Differential expression of C-reactive protein and serum amyloid A in different cell types in the lung tissue of chronic obstructive pulmonary disease patients. BMC Pulm Med 14, 95, doi:10.1186/1471-2466-14-95 (2014).

Event: 1439: Systemic acute phase response

Short Name: Systemic APR

Key Event Component

Process Object Action
acute-phase response Acute phase proteins increased

AOPs Including This Key Event

Biological Context

Level of Biological Organization
Organ

Organ term

Organ term
blood

Domain of Applicability

Taxonomic Applicability
Term Scientific Term Evidence Links
mouse Mus musculus High NCBI
human Homo sapiens High NCBI
Life Stage Applicability
Life Stage Evidence
All life stages High
Sex Applicability
Sex Evidence
Male High
Female High
  • Taxonomic applicability: APR is part of the immune response and is observed in vertebrates6.
  • Life stages applicability: This key event is applicable to all life stages.
  • Sex applicability: This key event is applicable to male and females sexes.

Key Event Description

During acute phase response, the plasma concentration of acute phase proteins (APP) changes in more than 25%. APPs that increase their concentration during APR are called positive APP, while negative APP are decreased during APR 1. In humans, positive APPs include C-reactive protein, serum amyloid A, C3 and C4 complement system, mannose-binding lectin, fibrinogen, fibronectin, ferritin, haptoglobin, hemopexin, among others 1,2. In humans the two major APPs are C-reactive protein (CRP) and serum amyloid A (SAA), whose concentration can increase in more than 1000-fold during acute phase response 1. SAA and CRP have been shown to be correlated in humans 3-5.In mice, the major APP are serum amyloid A, haptoglobin and serum amyloid P6.

How it is Measured or Detected

Systemic acute phase response is assessed by measuring APPs concentrations in blood plasma or serum, most often CRP and SAA. In humans, these proteins are measured by immunoassays detecting single or multiple proteins 4,7-12. In addition, CRP is measured by turbidimetric 13-15 and nephelometric assays 16.

In mice, CRP is not a major APP 6, therefore SAA isoforms are measured using ELISA assays or western blot 17-21.

References

1            Gabay, C. & Kushner, I. Acute-phase proteins and other systemic responses to inflammation. N Engl J Med 340, 448-454, doi:10.1056/NEJM199902113400607 (1999).

2            Mantovani, A. & Garlanda, C. Humoral Innate Immunity and Acute-Phase Proteins. N Engl J Med 388, 439-452, doi:10.1056/NEJMra2206346 (2023).

3            Baumann, R. et al. Human nasal mucosal C-reactive protein responses after inhalation of ultrafine welding fume particles: positive correlation to systemic C-reactive protein responses. Nanotoxicology 12, 1130-1147, doi:10.1080/17435390.2018.1498930 (2018).

4            Monse, C. et al. Concentration-dependent systemic response after inhalation of nano-sized zinc oxide particles in human volunteers. Part Fibre Toxicol 15, 8, doi:10.1186/s12989-018-0246-4 (2018).

5            Ridker, P. M., Hennekens, C. H., Buring, J. E. & Rifai, N. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. N Engl J Med 342, 836-843, doi:10.1056/NEJM200003233421202 (2000).

6            Cray, C., Zaias, J. & Altman, N. H. Acute phase response in animals: a review. Comp Med 59, 517-526 (2009).

7            Meier, R. et al. Associations of short-term particle and noise exposures with markers of cardiovascular and respiratory health among highway maintenance workers. Environ Health Perspect 122, 726-732, doi:10.1289/ehp.1307100 (2014).

8            Baumann, R. et al. Systemic serum amyloid A as a biomarker for exposure to zinc and/or copper-containing metal fumes. J Expo Sci Environ Epidemiol 28, 84-91, doi:10.1038/jes.2016.86 (2018).

9            Adetona, A. M. et al. Impact of Work Task-Related Acute Occupational Smoke Exposures on Select Proinflammatory Immune Parameters in Wildland Firefighters. J Occup Environ Med 59, 679-690, doi:10.1097/JOM.0000000000001053 (2017).

10          Andersen, M. H. G. et al. Health effects of exposure to diesel exhaust in diesel-powered trains. Part Fibre Toxicol 16, 21, doi:10.1186/s12989-019-0306-4 (2019).

11          Walker, E. S. et al. Acute differences in blood lipids and inflammatory biomarkers following controlled exposures to cookstove air pollution in the STOVES study. Int J Environ Health Res 32, 565-578, doi:10.1080/09603123.2020.1785402 (2022).

12          Wyatt, L. H., Devlin, R. B., Rappold, A. G., Case, M. W. & Diaz-Sanchez, D. Low levels of fine particulate matter increase vascular damage and reduce pulmonary function in young healthy adults. Part Fibre Toxicol 17, 58, doi:10.1186/s12989-020-00389-5 (2020).

13          Kim, J. Y., Chen, J. C., Boyce, P. D. & Christiani, D. C. Exposure to welding fumes is associated with acute systemic inflammatory responses. Occup Environ Med 62, 157-163, doi:10.1136/oem.2004.014795 (2005).

14          Barregard, L. et al. Experimental exposure to wood-smoke particles in healthy humans: effects on markers of inflammation, coagulation, and lipid peroxidation. Inhal Toxicol 18, 845-853, doi:10.1080/08958370600685798 (2006).

15          Sikkeland, L. I. B. et al. Systemic and Airway Inflammation after Exposure to Fumes from Military Small Arms. Am J Respir Crit Care Med 197, 1349-1353, doi:10.1164/rccm.201709-1857LE (2018).

16          Brand, P. et al. Relationship between welding fume concentration and systemic inflammation after controlled exposure of human subjects with welding fumes from metal inert gas brazing of zinc-coated materials. J Occup Environ Med 56, 1-5, doi:10.1097/JOM.0000000000000061 (2014).

17          Hadrup, N. et al. Acute phase response and inflammation following pulmonary exposure to low doses of zinc oxide nanoparticles in mice. Nanotoxicology 13, 1275-1292, doi:10.1080/17435390.2019.1654004 (2019).

18          Poulsen, S. S. et al. Multi-walled carbon nanotube-physicochemical properties predict the systemic acute phase response following pulmonary exposure in mice. PLoS One 12, e0174167, doi:10.1371/journal.pone.0174167 (2017).

19          Gutierrez, C. T. et al. Acute phase response following pulmonary exposure to soluble and insoluble metal oxide nanomaterials in mice. Part Fibre Toxicol 20, 4, doi:10.1186/s12989-023-00514-0 (2023).

20          Christophersen, D. V. et al. Accelerated atherosclerosis caused by serum amyloid A response in lungs of ApoE(-/-) mice. FASEB J 35, e21307, doi:10.1096/fj.202002017R (2021).

21          Halappanavar, S. et al. Pulmonary response to surface-coated nanotitanium dioxide particles includes induction of acute phase response genes, inflammatory cascades, and changes in microRNAs: a toxicogenomic study. Environ Mol Mutagen 52, 425-439, doi:10.1002/em.20639 (2011).

List of Adverse Outcomes in this AOP

Event: 1443: Atherosclerosis

Short Name: Atherosclerosis

Key Event Component

Process Object Action
Atherosclerosis increased

AOPs Including This Key Event

Biological Context

Level of Biological Organization
Individual

Domain of Applicability

Taxonomic Applicability
Term Scientific Term Evidence Links
human Homo sapiens High NCBI
Life Stage Applicability
Life Stage Evidence
All life stages High
Sex Applicability
Sex Evidence
Male High
Female High
  • Taxonomic applicability: Human.
  • Life stages applicability: All life stages. Although atherosclerosis is mostly observed in adult humans, this condition begins early in life, and progresses through adulthood 7,8. Children with chronic inflammation diseases have shown to develop atherosclerosis in early childhood 9,10.
  • Sex applicability: Unspecific, atherosclerosis is manifested in males and females 11.

Key Event Description

Atherosclerosis is defined as the accumulation of fatty and fibrous material in the intima layer of arteries 1. Atherosclerosis initiates with the alteration of the endothelium homeostasis and accumulation of modified low density lipoproteins (LDL) in the intima layer. The activation of endothelial cells leads to the recruitment and translocation of monocytes to the intima, where monocytes differentiate into macrophages. Following this, macrophages internalize oxidized LDL becoming foam cells. Several factors enhance plaque progression including continuous accumulation of foam cells and lipoproteins, and migration and proliferation of smooth muscle cells in the intima layer. Extracellular matrix macromolecules produced by smooth muscle cells results in the thickening of the intima.  A necrotic core rich in lipids inside the atherosclerotic plaque is formed when macrophages and smooth muscle cells go through apoptosis. During progression, atherosclerotic plaques can develop calcification regions and expand toward the lumen of the artery. Advanced atherosclerosis can diminish the arteries lumen and/or form a thrombus (i.e. blood clot), reducing the blood flow, and leading to ischemia. The rupture of atherosclerotic plaques can also lead to embolism 1,2.

How it is Measured or Detected

Atherosclerosis can be detected through direct and indirect methods. Techniques that allow direct visualization of atherosclerotic plaques include ultrasonography, computed tomography angiography, magnetic resonance imaging, and optical coherence tomography 1. These techniques can measure the intima thickness of arteries, along with detection of calcified components 3,4. Techniques that allows the evaluation of atherosclerosis without direct visualization of plaques include angiography, aortic pulse wave velocity and the ankle-arm systolic blood pressure index 1,3,5. Finally, although nonspecific, inflammatory markers are also use to evaluate atherosclerosis including blood levels of IL-6, CRP and TNF-α 5.

The induction and/or progression of atherosclerosis after exposure to a stressor can be studied through animal models. Examples of these are the ApoE-/- and LdLr-/- mouse models and Watanabe rabbit model, where the development of atherosclerotic can be assessed 6.

Regulatory Significance of the AO

Atherosclerosis is the principal cause of cardiovascular diseases including myocardial infarction, stroke and angina pectoris 1,2,12. In turn, cardiovascular diseases are the principal cause of deaths worldwide and measures have been made by many countries to control risk factors and prevent this disease.13.

References

1            Libby, P. et al. Atherosclerosis. Nat Rev Dis Primers 5, 56, doi:10.1038/s41572-019-0106-z (2019).

2            Jebari-Benslaiman, S. et al. Pathophysiology of Atherosclerosis. Int J Mol Sci 23, doi:10.3390/ijms23063346 (2022).

3            van der Meer, I. M. et al. Predictive value of noninvasive measures of atherosclerosis for incident myocardial infarction: the Rotterdam Study. Circulation 109, 1089-1094, doi:10.1161/01.CIR.0000120708.59903.1B (2004).

4            Poyrazoglu, H. G., Vurdem, U. E., Arslan, A. & Uytun, S. Evaluation of carotid intima-media thickness in children with migraine: a marker of subclinical atherosclerosis. Neurol Sci 37, 1663-1669, doi:10.1007/s10072-016-2648-0 (2016).

5            Rodondi, N. et al. Markers of atherosclerosis and inflammation for prediction of coronary heart disease in older adults. Am J Epidemiol 171, 540-549, doi:10.1093/aje/kwp428 (2010).

6            Gistera, A., Ketelhuth, D. F. J., Malin, S. G. & Hansson, G. K. Animal Models of Atherosclerosis-Supportive Notes and Tricks of the Trade. Circ Res 130, 1869-1887, doi:10.1161/CIRCRESAHA.122.320263 (2022).

7            McGill, H. C., Jr., McMahan, C. A. & Gidding, S. S. Preventing heart disease in the 21st century: implications of the Pathobiological Determinants of Atherosclerosis in Youth (PDAY) study. Circulation 117, 1216-1227, doi:10.1161/CIRCULATIONAHA.107.717033 (2008).

8            McMahan, C. A. et al. Risk scores predict atherosclerotic lesions in young people. Arch Intern Med 165, 883-890, doi:10.1001/archinte.165.8.883 (2005).

9            Yamamura, K. et al. Early progression of atherosclerosis in children with chronic infantile neurological cutaneous and articular syndrome. Rheumatology (Oxford) 53, 1783-1787, doi:10.1093/rheumatology/keu180 (2014).

10          Tyrrell, P. N. et al. Rheumatic disease and carotid intima-media thickness: a systematic review and meta-analysis. Arterioscler Thromb Vasc Biol 30, 1014-1026, doi:10.1161/ATVBAHA.109.198424 (2010).

11          Libby, P. The changing landscape of atherosclerosis. Nature 592, 524-533, doi:10.1038/s41586-021-03392-8 (2021).

12          Frostegard, J. Immunity, atherosclerosis and cardiovascular disease. BMC Med 11, 117, doi:10.1186/1741-7015-11-117 (2013).

13          Vaduganathan, M., Mensah, G. A., Turco, J. V., Fuster, V. & Roth, G. A. The Global Burden of Cardiovascular Diseases and Risk: A Compass for Future Health. J Am Coll Cardiol 80, 2361-2371, doi:10.1016/j.jacc.2022.11.005 (2022).

Appendix 2

List of Key Event Relationships in the AOP