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AOP: 622

Title

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Calcineurin inhibitor induced nephrotoxicity leading to kidney failure

Short name
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Calcineurin inhibitor induced nephrotoxicity
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Handbook Version v2.7

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Authors

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K.H. Liang, Department of Nephrology, University Medical Center Utrecht

E. Sendino Garví, Department of Pharmaceutical Sciences, Utrecht University

A.M. van Genderen, Department of Pharmaceutical Sciences, Utrecht University

R. Masereeuw, Department of Pharmaceutical Sciences, Utrecht University

Point of Contact

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Kate Liang   (email point of contact)

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  • Kate Liang

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OECD Information Table

Provides users with information concerning how actively the AOP page is being developed and whether it is part of the OECD Workplan and has been reviewed and/or endorsed. OECD Project: Assigned upon acceptance onto OECD workplan. This project ID is managed and updated (if needed) by the OECD. OECD Status: For AOPs included on the OECD workplan, ‘OECD status’ tracks the level of review/endorsement of the AOP . This designation is managed and updated by the OECD. Journal-format Article: The OECD is developing co-operation with Scientific Journals for the review and publication of AOPs, via the signature of a Memorandum of Understanding. When the scientific review of an AOP is conducted by these Journals, the journal review panel will review the content of the Wiki. In addition, the Journal may ask the AOP authors to develop a separate manuscript (i.e. Journal Format Article) using a format determined by the Journal for Journal publication. In that case, the journal review panel will be required to review both the Wiki content and the Journal Format Article. The Journal will publish the AOP reviewed through the Journal Format Article. OECD iLibrary published version: OECD iLibrary is the online library of the OECD. The version of the AOP that is published there has been endorsed by the OECD. The purpose of publication on iLibrary is to provide a stable version over time, i.e. the version which has been reviewed and revised based on the outcome of the review. AOPs are viewed as living documents and may continue to evolve on the AOP-Wiki after their OECD endorsement and publication.   More help
OECD Project # OECD Status Reviewer's Reports Journal-format Article OECD iLibrary Published Version
This AOP was last modified on February 06, 2026 08:48

Revision dates for related pages

Page Revision Date/Time
Increased activation, Nuclear factor kappa B (NF-kB) August 27, 2023 03:08
Activation, NADPH Oxidase September 16, 2017 10:17
Increase, Reactive oxygen species June 12, 2025 01:27
Increase, Oxidative Stress February 11, 2026 07:05
Increase, Mitochondrial dysfunction February 11, 2026 07:06
Activation, TGF-beta pathway September 16, 2017 10:17
Increase, Apoptosis April 15, 2017 16:17
Increased, Kidney Failure January 16, 2019 08:57
Metabolic impairment February 06, 2026 08:28
Increased kidney fibrosis February 06, 2026 08:31
Cyclosporin May 18, 2017 08:31
Tacrolimus (also FK506) June 27, 2021 02:54

Abstract

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Tacrolimus (TAC) and cyclosporin A (CsA) are widely used calcineurin inhibitors (CNI) whose therapeutic efficacy (i.e. immunosuppression) is limited by nephrotoxicity, particularly in kidney transplant recipients. This adverse outcome pathway (AOP) outlines the mechanistic sequence of events leading from CsA or TAC exposure to chronic kidney injury. Despite the molecular initiating event remains unknown, the first recorded key event is the activation of nuclear factor kappa B (NF-κB) and induction of NADPH oxidase 2 (NOX2). These upstream events promote increased production of reactive oxygen species (ROS), a well-established response observed in vitro and in vivo. Elevated ROS levels drive oxidative stress, characterized by depletion of antioxidant capacity and increased oxidative damage markers. Oxidative stress leads to mitochondrial dysfunction, including loss of membrane potential, impaired respiration, and reduced ATP production. These mitochondrial changes are accompanied by metabolic disturbances, such as alterations in TCA cycle intermediates, amino acid pathways, and fatty acid metabolism, described across cell-based systems and in vivo studies. Metabolic impairment and cellular stress are associated with increased TGF-β signalling, a central event consistently linked to CNI-induced tubular injury and fibrosis. Persistent activation of TGF-β pathways contributes to extracellular matrix deposition, tubular atrophy, and interstitial fibrosis. These tissue-level alterations ultimately culminate in decreased kidney function, reflected clinically by reduced GFR and progression toward chronic kidney disease. This AOP provides a structured framework to integrate mechanistic evidence, identify key data gaps, and support the development of  new approach methodology-based approaches for assessing CNI nephrotoxicity.

AOP Development Strategy

Context

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Calcineurin inhibitor induced nephrotoxicity leading to kidney failure

This AOP describes the sequence of key events (KE’s) that link the usage of CNIs to nephrotoxicity and the adverse outcome kidney failure. CNIs are immunosuppressive drugs that inhibit calcineurin by binding to immunophilins, such as cyclophilin and FK-binding proteins (1). Calcinuerin is a crucial enzyme for activating T-cells. Blockage of the enzyme leads to reduction of interleukin-2 and T-cell proliferation. Currently, the two most commonly used systemic CNIs are TAC and CsA, typically administered  orally. Indication for systemic CNI treatment is solid organ transplantation and are used to effectively manage several autoimmune disorders, including lupus nephritis, idiopathic inflammatory myositis and interstitial lung disease. CNIs are associated with both acute and chronic kidney damage due to its narrow therapeutic window (2, 3). Nephrotoxicity secondary to CNIs occurs in liver (52%), heart (20–75%) and kidney (76–94%) transplant recipients (4). Risk factors for CNI toxicity include volume depletion, diuretic use, older donor age, exposure to high CNI doses, concomitant use of nephrotoxic drugs (particularly NSAIDs), concomitant use of CYP3A4/5 or P-glycoprotein (ABCB1) inhibitors, and genetic polymorphisms affecting CYP3A4/5 and P-glycoprotein function. CNI are also available in a topical form, which is used for mild-to-moderate atopic dermatitis. However, because of the route of exposure, nephrotoxicity is not an issue for topical CNIs.  

​​​​​​​Molecular Initiating Event: Unkown

As CNI-induced nephrotoxicity involves several mechanisms, a well-defined MIE cannot be found. CNI-induced nephrotoxicity can be a result of vasoconstriction of the afferent arteriole, leading to ischemia in the kidney (2). However, there is also a direct toxic effect, such as increased oxidative stress, of CNI’s on tubular epithelial cells, as has been shown in multiple studies (5-7). In tubular epithelial cells, the influx transporter, if existing, of CNI’s is unknown, and the only efflux transporter that has been identified to transport CNI’s is P-glycoprotein (ABCB1). Identifying the initial interaction of CNI with kidney cells, and consequently the MIE, remains challenging.

 

​​​​​​​​​​​​​​Key Event 1: Activation of NF-kB and NOX2

NF-κB, a downstream target of CNI, is activated in tubular cells after treatment with TAC and CsA (8). The pathway of NF-κB activation is not exactly known, but it could be activated by angiotensin II (9), degradation of I-κBα (10) or upstream kinases: c-Jun N-terminal kinases (JNK) and Janus Kinase (JAK)(11). A transcriptomics analysis of mouse cortical proximal tubular cells treated with TAC and CsA showed significant activation of NF-κB and pro-inflammatory cytokines which are strongly associated with kidney disease, such as monocyte chemoattractant protein -1 (MCP-1) and Rantes (11). Inhibition of Nf-κB after CNI exposure in several in vivo studies have shown attenuation of nephropathy, indicating an important role of the factor in the development of CNI nephrotoxicity (12, 13). Additionaly, activation of NF-κB leads to upregulation of NADPH oxidases (NOX) in the tubule (14).

The primary function of NOX are generating reactive oxidative species (ROS) by transferring one electron to dioxygen leading to the product superoxide. Isoforms NOX1, NOX2 and NOX4 are expressed in the kidney and known sources of ROS production (15).  NOX2 in particular is associated with CsA-induced kidney fibrosis and chronic nephrotoxicity (16, 17). Furthermore, NOX2 was significantly increased in the tubule and interstitial cells after immunohistochemical analyses of kidney biopsies from liver transplant recipients with CNI nephrotoxicity after exposure to TAC or CsA (16). Moreover, TAC increases ROS via NOX in the glomerulus, especially in endothelial glomerular cells (18).

​​​​​​​Key Event 2: ROS production

Mitochondria generate about 90% of cellular ROS, making them the primary source of ROS in renal proximal tubules (19). The kidney is highly metabolically active, abundant in mitochondira, and, therefore, particularly susceptible to ROS. When ROS production exceeds the cell’s antioxidant capacity, oxidative stress occurs, damaging cellular components and contributing to chronic kidney disease (CKD) progression (20).

In a proximal tubular cell line derived from a healthy human adult male kidney (human kidney-2 (HK-2) cells), TAC increased the intracellular ROS levels by 1.67 fold compared to the control group (21). Exposure to TAC (30 µM and 60 µM, for 24 h) in induced pluripotent stem cell (iPSC) derived  kidney organoids significantly increased ROS levels detected by immunofluorescence staining with MitoSOX Red (22). Moreover, damaged mitochondria with spherical shapes and cristolysis were observed in the kidney organoids after TAC exposure, and quantification with Mitrotracker showed increased mitochondrial stress (22).  

In addition to increasing ROS, CNI also disrupt antioxidant defense systems leading to imbalances in the redox environment, amongst which decreasing glutathione (23). Moreover, CsA exposure damages the inner and outer mitochondrial membrane, resulting in mitochondrial permeability transition pores. The exact mechanism has yet to be elucidated, but it has been suggested that oxidative stress may alter thiol groups of membrane proteins, leading to misfolding and clustering of these proteins and resulting in opening of membrane pores (23).  Subsequently, apoptotic mediators, such as cytochrome c, are released into the cytosol. Moreover, increased ROS might lead to increased expression of dynamin related protein 1, a GTPase that regulates mitochondrial fission and decreased expression of mitofusin 2  and optic atrophy protein 1 (Opa1), both important proteins in the mitochondrial fusion process (24, 25). Consequently, increased fission and decreased fusion takes place in the mitochondria, dysregulating the apoptotic pathways (26, 27).

​​​​​​​​​​​​​​Key Event 3: Oxidative stress

Oxidative stress, defined by an imbalance between pro-oxidant and antioxidant systems, is harmful to cellular health due to the excessive production of ROS and reactive nitrogen species  (28). Evidence strongly indicates this to be a KE in TAC-induced nephrotoxicity (7, 29-31). A study in (porcine-derived) LLC-PK1 cells demonstrated an increase in hydrogen peroxide, a direct indicator of oxidative stress upon TAC treatment with increased expression of pro-oxidant enzymes and reduced activity of antioxidant pathways, resulting in cellular damage and apoptosis (7).

In vitro studies using kidney cell lines and kidney organoids offer deeper insights into the cellular and molecular mechanisms of TAC-induced oxidative stress. Kidney proximal tubular epithelial cells exposed to TAC exhibit upregulation of oxidative stress markers and mitochondrial dysfunction (32). These findings are supported by several other studies, which reported downregulation of antioxidants and upregulation of NOX2 after TAC in vitro and in vivo. Furthermore, treatment with coenzyme Q10 has been shown to alleviate TAC-induced kidney dysfunction by preventing ROS production and improving mitochondrial respiration in HK-2 cells (33).

In vivo studies in rodents further clarify the mechanisms by which TAC induces oxidative stress (34). Further, in an intracellular metabolomics analyses, mice treated with CNIs showed increased oxidative stress by either decreased glutathione or decreased glutathione peroxidase activity in the kidney cells (7). Rabbits exposed to TAC showed increased oxidative stress caused by impairments in antioxidant response (35). Additionally, the anti-oxidant cilastatin counteracted TAC-induced nephrotoxicity in rat proximal tubular cells, resulting in reduced oxidative DNA damage (33). Overall, the use of antioxidants and oxidative stress inhibitors has shown potential in mitigating the oxidative damage caused by TAC in vitro and in vivo, suggesting possible therapeutic strategies to counteract its nephrotoxic  effects (36).

Human studies have also indicated that patients undergoing TAC therapy exhibit decreased antioxidant defenses (37, 38) including reduced glutathione levels. Additionally, increased levels of malondialdehyde, indicating a process called lipid peroxidation, as a result of oxidative stress have been found in patients. Collectively, these findings underscore oxidative stress as an early key event in TAC exposure, potentially initiating the cascade of events that eventually leads to kidney failure.

​​​​​​​Key Event 4: Mitochondrial dysfunction

The kidney, with its high energy demands for reabsorption processes across different nephron segments, relies heavily on mitochondria. Mitochondrial dysfunction is a significant factor, leading to impaired ATP production, increased ROS levels, metabolic deficiencies and damage that directly impact kidney function (39).

In vitro studies using HK-2 cells have shown that TAC exposure causes a loss of mitochondrial membrane potential. These effects were accompanied by decreased oxygen consumption rates and impaired ATP synthesis, further confirming mitochondrial dysfunction (33). Also kidney organoids treated with TAC exhibit significant mitochondrial damage, including loss of mitochondrial membrane potential, increased ROS production, and activation of autophagy as a cellular response to mitochondrial stress (40). Additionally, coenzyme Q10, a mitochondrial-targeted antioxidant, could partly mitigate the mitochondrial dysfunction and oxidative stress induced by TAC (41).

In vivo studies have shown that TAC administration in mice results in increased mitochondrial ROS production and decreased antioxidant defenses, exacerbating mitochondrial dysfunction and kidney injury (42). Electron microscopy of kidney tissues from TAC-treated mice revealed a reduction in both the number and volume of mitochondria, along with structural abnormalities (33), which was also demonstrated in rats, with the remaining mitochondria appearing fragmented (fission and fusion) (33). These findings suggest that TAC not only impairs mitochondrial function but also affects mitochondrial biogenesis and morphology.

Long-term exposure of human patients to TAC leads to progressive kidney failure, characterized by interstitial fibrosis, tubular atrophy, and inflammation (43), all of this potentially linked to mitochondrial damage. In agreement, ultrastructural analysis of kidney biopsies from patients treated with TAC revealed mitochondrial swelling, cristae disruption, and increased ROS production (44).

​​​​​​​​​​​​​​Key Event 5: Metabolic impairment

Cell metabolism impairment is a critical event in the pathway of TAC-induced nephrotoxicity, encompassing various disruptions that contribute to kidney damage and dysfunction (42, 45). Within mitochondria, the TCA cycle, fueled by glycolysis-derived pyruvate, produces energy-rich nucleotides and accumulates coenzyme NADH+ in the presence of oxygen (46, 47). NADH is processed by the mitochondrial respiration chain complex (subunits I-IV), along with cytochrome C and coenzyme Q10, creating a gradient that converts ADP into ATP, which is then transported into the cytosol (48).

In vivo studies have provided additional insights into the mechanisms of TAC-induced nephrotoxicity. For instance, in a mouse model, TAC administration resulted in significant alterations in kidney metabolism, including changes in metabolites such as L-valine and D-glucose, indicative of disrupted mitochondrial function (42, 45). Treatment with non-toxic doses of TAC showed impairments in the TCA cycle, including increased folate metabolism, citric acid metabolism, and glutathione synthesis, indicating a metabolic switch as a reaction to oxidative stress (G) (42, 45). In proximal tubule cells, L-carnitines were the most differentially accumulated metabolites upon TAC exposure in. Other in vitro studies using kidney cell lines have also demonstrated the impact of TAC on cellular metabolism including mitochondrial function disruption leading to decreased ATP production and increased ROS production (49, 50). These metabolic changes induce cellular stress and apoptosis, contributing to tubular dysfunction and fibrosis. Additionally, they found that TAC inhibits key metabolic enzymes, such as pyruvate dehydrogenase and citrate synthase, further impairing cellular energy metabolism. These findings highlight the direct effects of TAC on kidney cell metabolism and its role in nephrotoxicity development.

Furthermore, another study found TAC-induced metabolic impairment involved alterations in amino acid metabolism, with decreased levels of essential amino acids such as valine and leucine (7). These changes impair protein synthesis and cellular repair mechanisms, further exacerbating kidney damage.

In clinical settings, TAC-induced nephrotoxicity is often observed in kidney transplant recipients (50). Studies have shown that TAC can cause metabolic disturbances, including hyperglycemia and dyslipidemia, which are risk factors for CKD (51). TAC impairs glucose metabolism by reducing insulin secretion and increasing insulin resistance, leading to hyperglycemia (52). Additionally, the same study found TAC linked to alterations in lipid metabolism, resulting in elevated levels of cholesterol and triglycerides. These metabolic changes exacerbate kidney injury by promoting oxidative stress and inflammation within the kidney.

​​​​​​​Key Event 6: Aberrant TGF-βeta

Exposure to TAC or CsA has been associated with significant alterations in TGF-β expression in the kidney, contributing to cytoxicity and fibrosis (53). An increased TGF-β expression has been observed with an aberrant activation of the TGF-β receptor stimulating the smad-mediated production of extracellular matrix (ECM) components, including collagen and fibronectin, features of fibrosis (49, 54). In transplant recipients, long-term treatment with TAC or CsA resulted in elevated intrarenal expression of TGF-β, collagen, fibronectin, matrix metalloproteinase-2 (MMP-2), tissue inhibitor of metalloproteinases-2 (TIMP-2), and osteopontin, with TAC showing more pronounced effects than CsA (53). The TGF-β-inducible gene-H3 is a product induced by TGF-β1 and plays a role in the fibrotic response. In vitro studies have demonstrated that TAC induces fibroblast-to-myofibroblast transition via a TGF-β-dependent mechanism, which is an indication of fibrosis (55). This process involves the inhibition of the calcineurin (Cn)/nuclear factor of activated T cells (NFAT) axis, induction of TGF-β1 ligand secretion, and receptor activation in kidney fibroblasts.

Furthermore, anti-TGF-β treatment in animal models has been shown to prevent nephrotoxicity induced by CNIs, highlighting the therapeutic potential of targeting the TGF-β pathway to mitigate kidney fibrosis (56).

​​​​​​​Key Event 7: Increased kidney fibrosis

TAC-treated kidneys exhibit significant evidence of kidney fibrosis, including increased expression of alpha-smooth muscle actin (α-SMA), indicating fibroblast activation (55, 57). Nitric oxide modulation has been proposed to affect fibrosis by altering TGF-β1 expression, leading to increased matrix deposition and decreased matrix degradation through increased plasminogen activator inhibitor-1 (58). In addition to increased TGF-β expression, macrophage infiltration and cellular proliferation are critical cellular players contributing to tubulointerstitial fibrosis (59). Cellular proliferation occurs both in the tubular and interstitial regions, starting in the medulla and progressing to fibrotic areas. Macrophages, which produce pro-fibrotic cytokines such as TGF-β and platelet-derived growth factor, may infiltrate during the early phases of fibrosis (60). This infiltration is potentially related to increased expression of osteopontin (OPN), a chemoattractant for macrophages, following CsA exposure (61).

In vitro studies on PTECs have shown that both TAC and CsA induce significant OPN mRNA expression (62). Treatment of mice with TGF-β resulted in increased intra-renal OPN mRNA and protein expression. In TAC-treated animals, a parallel increase in OPN and TGF-β mRNA was observed. Anti-TGF-β antibody treatment in vitro inhibited both TGF-β and OPN mRNA expression in PTECs, and similar results were obtained in vivo with CsA-treated mice (63). In support, OPN-deficient mice exhibit less severe CsA nephrotoxicity, characterized by reduced interstitial collagen deposition and macrophage infiltration, compared to control mice (61). Macrophage influx has been correlated with apoptosis in kidney tissue of CsA-treated rats (64). Similarly, OPN expression has been associated with increased microvascular injury in CsA nephrotoxicity, suggesting it could be an early marker of CNI toxicity (65).

​​​​​​​​​​​​​​Key Event 8: Apoptosis

TAC and CsA have been directly related to cellular damage that activate apoptotic pathways (5, 6), which is primarily driven by oxidative stress and direct toxic effect on tubular cells (7). Additionally, TAC can activate the Fas system, a critical pathway in apoptosis, leading to increased cell death in kidney tissues (66). Treatment with TAC and CsA activates the endoplasmic reticulum (ER) stress pathway, leading to the upregulation of CHOP (C/EBP homologous protein), a key mediator of ER stress-induced apoptosis (67). These cellular events culminate in the activation of caspase-12 and caspase-3 (68), executing the apoptotic process. Furthermore, in a study involving mice, TAC administration led to tubular atrophy and interstitial fibrosis, with a marked increase in apoptotic cells in the kidney cortex (66). In the clinic, biopsies from kidney transplant recipients on TAC therapy revealed increased apoptotic markers, such as caspase-3 activation and DNA fragmentation (64). These findings suggest that TAC-induced apoptosis contributes to the deterioration of kidney function in humans.

 

​​​​​​​Adverse Outcome: Kidney failure

Kidney biopsies taken from patients exposed to TAC and CsA revealed several clinical manifestations of nephrotoxicity. These include mild arteriolopathy, striped interstitial fibrosis, glomerular congestion, tubular microcalcification and arterial hyalinosis (69). Other than histological abnormalities, decline in kidney function is often observed in patients (70). Kidney function can be estimated by measuring serum creatinine levels. Creatinine is a waste product in the body that is freely filtered at a constant rate and minimally reabsorbed by the kidney. Using serum creatinine, the estimated glomerular filtration rate (eGFR) can be calculated with a formula that adjusts for age and sex. Kidney failure, e.g. end-stage kidney disease, is defined as an eGFR below 15 mL/min/1.73 m². Next to declined eGFR, other indicators for declined kidney function are decreases in urea clearance, leading to increased blood urea nitrogen (70). Urea is the end product of protein metabolism formed in the liver and is excreted, reabsorbed and transported by the kidneys. Studies have reported that 9.5% to 16.5% of patients develop kidney failure as a result of continuous CNI usage (71, 72).

Strategy

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

This adverse outcome pathway (AOP) is developed as part of the ‘Virtual Human for Safety Assessment (VHP4Safety)’ consortium. The mission of the consortium is to improve the prediction of the potential harmful effects of chemicals and pharmaceuticals based on a holistic, interdisciplinary definition of human health by developing the Virtual Human Platform and accelerating the transition from animal-based testing to innovative safety assessment. The Virtual Human Platform integrates data on human physiology, chemical characteristics and perturbations of biological pathways, for the first time in an inclusive and integrated manner. This project is funded by the Dutch Research Council (NWO) programme entitled the ’Dutch Research Agenda: Research on Routes by Consortia (NWA-ORC).

Within the VHP consortium, in vitro case studies are used to feed the Virtual Human Platform with newly generated data. This AOP focuses on nephrotoxicity caused by tacrolimus (TAC), cyclosporin A (CsA) and other calcineurin inhibitors leading to kidney failure.

Summary of the AOP

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

Events:

Molecular Initiating Events (MIE)
An MIE is a specialised KE that represents the beginning (point of interaction between a prototypical stressor and the biological system) of an AOP. More help
Key Events (KE)
A measurable event within a specific biological level of organisation. More help
Adverse Outcomes (AO)
An AO is a specialized KE that represents the end (an adverse outcome of regulatory significance) of an AOP. More help
Type Event ID Title Short name
KE 1172 Increased activation, Nuclear factor kappa B (NF-kB) Increased activation, Nuclear factor kappa B (NF-kB)
KE 1174 Activation, NADPH Oxidase Activation, NADPH Oxidase
KE 1115 Increase, Reactive oxygen species Increase, ROS
KE 1392 Increase, Oxidative Stress Increase, Oxidative Stress
KE 177 Increase, Mitochondrial dysfunction Increase, Mitochondrial dysfunction
KE 2403 Metabolic impairment Metabolic impairment
KE 1283 Activation, TGF-beta pathway Activation, TGF-beta pathway
KE 2404 Increased kidney fibrosis Increased kidney fibrosis
KE 1365 Increase, Apoptosis Increase, Apoptosis
AO 759 Increased, Kidney Failure Increased, Kidney Failure

Relationships Between Two Key Events (Including MIEs and AOs)

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

Network View

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

Prototypical Stressors

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

Life Stage Applicability

The life stage for which the AOP is known to be applicable. More help
Life stage Evidence
Not Otherwise Specified

Taxonomic Applicability

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

Sex Applicability

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

Overall Assessment of the AOP

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

In this section, we assessed the AOP using the Brasdford-Hill criteria (73), including the AOP’s biological plausibility and assessment of the empirical evidence: dose-response and temporal concordance. We also assessed the overall KEs within the AOP, including their domain of applicability and essenciality.

Biological Plausibility

Currently, there is no evidence supporting the intracellular transport of calcineurin inhibitors, specifically TAC and CsA. TAC has been documented to be secreted from proximal tubule cells in the kidney via the P-glycoprotein efflux pump, encoded by the ABCB1/MDR1 gene (74). However, it remains unclear whether this transport is exclusively mediated by P-glycoprotein or involves other transporters. This gap in knowledge regarding the cellular transport mechanisms of these agents presents a significant challenge in elucidating the initial triggering event and subsequent KEs and relationships (KERs). Although the MIE could not be identified, it has been suggested that NF-κB and NOX2 activation are among the earliest key events in nephrotoxicity induced by CNI (14, 16, 17). Exposure to these nephrotoxic agents results in increased expression of both NF-κB and NOX2. The activation of NF-κB and NOX2 promotes the generation of ROS by transferring an electron from NADPH to molecular oxygen within the mitochondrial respiratory chain.

In this AOP, although the sequence of KEs is depicted linearly, we propose that the KEs of ROS production, oxidative stress, and mitochondrial dysfunction are fundamentally interconnected and dynamic processes that occur simultaneously. This simultaneity complicates the assessment of whether one event precedes another or if they occur concurrently. Given that critical metabolic processes occur in the mitochondria, mitochondrial dysfunction results in metabolic impairment (7). Studies have identified the metabolic pathways of arginine, amino acids, and pyrimidine as the most affected by TAC exposure in both in vitro and in vivo models (7). Metabolic impairment due to CNI exposure has been associated with aberrant TGF-β signaling and subsequent fibrosis in kidney cells and animal models (49). Evidence suggests that fibrosis may arise from either increased TGF-β levels or malfunctions in the TGF-β receptor signaling pathway, or a combination of both (49). Increased fibrosis has been observed alongside the presence of pro-apoptotic and apoptotic cells in in vitro, animal, and human studies (64, 75). However, apoptosis can be triggered by various stressors, including oxidative stress, mitochondrial dysfunction, and increased fibrosis, complicating its placement within the AOP framework. Ultimately, increased apoptosis leads to the loss of functional kidney tissue and eventual kidney failure.

​​​​​​​Empirical evidence: Dose-response and temporal concordance

CNI induced kidney damage in patients is associated with the dosage of CNI. A mean reduction in TAC dosage of 41% (range 11–89) led to a 86% (range 45–100) reduction in serum creatinine within 1–14 days (76). To decrease CNI usage, combining CNI with or switching to other immunosuppressive drugs seems to be able to partly restore kidney function. Switching from CNI to sirolimus for example led to an increase of 27% of eGFR (from 34 to 42 ml/min/1.73m2) in adult liver transplant recipients (77). Adding immunosuppressant mycophenolate mofetil to reduce CNI doses led to decreased serum creatinine levels from 2.63+/-0.39 to 1.74+/-0.34 mg/dl after one month and was maintained within a follow-up period of 4.8 years in adult liver transplant recipients (78). In the pediatric heart transplant population, improvement of kidney function after decreasing CNI by 50% and adding mycophenolate was also observed. At 1 year post-intervention, GFR was increased by 67% from 46.5 to 77.6mL/min/1.73 m2a nd remained stable during the mean follow-up of 26.3 months (79).

In animal models, male Sprague-Dawley rats dosed daily with CsA (2.5 or 25 mg/kg/day), TAC (0.6 or 6 mg/kg/day) for 1-28 days, a significant increase in blood urea nitrogen was observed in rats treated with CsA (high dose) or TAC (high dose) for 14 and 28 days (80). In another study, significant impairment of eGFR was seen in Sprague-Dawley rats treated with doses of CsA as low as 5 mg/kg/day (81). CsA 7.5 mg/kg/day caused a significant reduction in effective kidney plasma flow, and at 10 mg/kg/day filtration fraction declined significantly, again, implying that CNI-induced kidney failure is dose-dependent (81). In vitro models also showed that several KE’s in this AOP are dose-dependent. First of all, Jin et al. showed a dose-response in cell viability when HK-2 cells were exposed to TAC (82). Additionally, increased ROS production and acecelerated apoptosis were found in those cells in a dose-dependent manner. In human mesangial cells, CsA exposure led to a dose-dependent loss of viability, and only after 48 hours a decrease in cell proliferation was observed, suggesting that CsA nephrotoxicity is also time-dependent (83). In PTEC, the oxygen consumption rate and activity of the electron transport chain complexes I, II, IV were dose-dependently decreased after 48 hour exposure to CsA whereas glycolysis, measured by the extracellular acidification rate is dose-dependently increased, which both could be an indicator of mitochondrial dysfunction (84). In conclusion, aforementioned in vitro, in vivo and in clinical results imply that CNI treatment is associated with several KE’s and kidney failure in a dose- and time-dependent manner.

Domain of Applicability

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

Mechanistic evidence for KEs and KERs in this AOP primarily comes from rodent studies and immortalized kidney cell lines, and limited clinical evidence. Due to this, it remains unclear whether this AOP can be fully applied to other species and life stages. This AOP outlines the general mechanisms leading to kidney failure across various species, including humans and rodents.

Theoretically, this AOP could be applicable to all life stages and any organism capable of experiencing CNI-related kidney failure. There is an edivent limitation in empirical support, with very limited studies detailing the KEs and KERs. Additionally, there is limited information on the dose- and time-dependent response relationships for most of the stressors within this AOP, particularly in studies that measure the relationship between the KEs in the context of CNI exposure and the kidney. Therefore, additional quantitative data is needed before this AOP can be considered for regulatory significance.

Essentiality of the Key Events

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

MIE/KE

Short name

Support

Essentiality

MIE

N/A

Unidentified event

N/A

1

NF-κB and NOX2 activation

NF-κB inhibition by affeic acid phenethyl ester suppressed NOX2 protein expression in both WT and CnAα−/− kidney fibroblasts, and significantly reduced ROS levels in CnAα−/− cells, indicating that NF-κB mediates CnAα-induced NOX2 regulation (14). Inhibition of NOX2 by coadministration of apocynin or diphenyleneiodonium in Fisher344 rats treated with CsA was associated with reduced striped fibrosis and cytoplasmic vacuolization that characterize chronic CNI toxicity (16). Additionally, treatment of wild-type and Nox2 null (B6.129S-CybbTm1Din/J) mice with high dose CsA revealed that in the KO mice significantly lower levels of α-SMA and 4-hydroxynonenal protein were found in the kidney, indicating that NOX2 is a mediator in chronic CNI toxicity.

High

2

ROS increase

CTLA4-Ig, a fusion protein, can effectively reduce TAC-induced increase in ROS levels and oxidative stress in HK-cells. Additionally, in rats, CTLA4-Ig treatment significantly reversed kidney function indices induced by TAC, including blood urea nitrogen, creatinine, malondialdehyde, glutathione, 8-OHdG, 4-HHE, catalase, glutathione S-transferase and glutathione reductase(82).

High

3

Oxidative stress increase

Treatment with coenzyme Q10 has been shown to reduce mitochondrial ROS production and alleviate TAC-induced dysfunction in the kidney by preventing apoptosis in HK-2 cells(31). Additionally, treatment with cytotoxic T-lymphocyte-associated antigen 4-immunoglobulin (CTLA4-Ig) has been reported to alleviate TAC induced oxidative stress and apoptotic cell death in HK-2 cells via the activation of the protein kinase B (AKT)/forkhead transcription factor (FOXO) 3 pathway (82).

High

4

Mitochondrial dysfunction

HK-2 cells treated with TAC and coenzyme Q10, an antioxidant, had higher rates of basal mitochondrial respiration than those treated with TAC only, indicating an increased activity of mitochondria. Additionally, the cells treated with coenzyme Q10 also showed higher ATP-associated and total respiration (31).

Low/Medium

5

Metabolic impairment

A study showed that CTLA4-Ig treatment in mice and HK-2 cells exposed to TAC significantly reversed the altered levels of several key metabolites, including blood urea nitrogen, creatinine, malondialdehyde, glutathione, 8-OHdG, 4-HHE, catalase, glutathione S-transferase, and glutathione reductase (82).

Low/Medium

6

Aberrant TGF-β

In vitro studies using conditionally immortalized PTECs and in vivo studies have demonstrated that inhibition of TGF-β prevented TGF-β activation and consequent fibrosis signalling in the context of Cas exposure (56, 85).

Low/Medium

7

Increased fibrosis

In vivo treatment with TGF-β in mice results in increased intra-renal osteopontin (OPN) mRNA and protein expression (85). In TAC-treated animals, a parallel increase in OPN and TGF-β mRNA was observed. Fibrosis inhibition by TGF-β blockage downregulated both TGF-β and OPN mRNA expression in PTECs, with similar results obtained in vivo with CsA-treated mice (86), leading to macrophage infiltration and consequent inflammation and fibrosis.

Low/Medium

8

Apoptosis

Treatment with coenzyme Q10 was shown to alleviate TAC-induced dysfunction in the kidney by preventing apoptosis in HK-2 proximal tubule cells (31). Additionally, cilastatin treatment acts as an anti-apoptotic agent in TAC-induced nephrotoxicity in proximal tubular cells and in rat models (87).

High

AO

Kidney failure

CNI treatment, including mostly TAC and CsA, has been associated with both acute and CKD due to its narrow therapeutic window (2, 3). Nephrotoxicity due to treatment with CNIs occurs often in solid-organ transplantation, including liver (52%), heart (20–75%) and kidney (76–94%) transplant recipients (4).

High

Evidence Assessment

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

The clinical evidence, linking nephrotoxicity caused by CNI to kidney failure, is strong and reliable. However, the mechanistic links between exposure to the agents and kidney failure remain poorly described and, therefore, not well understood. We were unable to find any evidence of a specific MIE, which thus remains unknown. The toxicity trigger of CNIs can be influenced by the kinetics of the individual stressors, which are determined by the transporters that these agents use to enter cells. Except for P-glycoprotein, neither influx nor efflux transporters have been identified, which hampers the identification of the MIE and the potential subsequent cascade of events. Currently, there are no reported alternative mechanisms that deviate from the proposed AOP, but additional contributors to the current AOP should not be excluded. This AOP is a qualitative description of the pathway and does currently not include quantitative information on dose-response relationships. However, it is known that CNI treatment needs frequent drug monitoring due to its narrow therapeutic window. There is substantial inter-individual variability in drug exposure, which may result from differences in metabolic enzymes (CYP3A4/5) and transporter polymorphisms (ABCB1), as well as the impact of high-fat meals that can reduce CNI absorption (88). These factors need to be considered when quantifying the AOP. There are limited studies available for each of the KEs and KERs to provide empirical support for this AOP, and there is a lack of substantial information on the dose-response relationships for the stressor agents. Additionally, no single study measures all reported KEs simultaneously following exposure to various doses, which hinders the ability to perform a highly accurate dose-response and concordance analysis. Extensive further research is needed to provide a better quantitative understanding of dose-response relationships between upstream and downstream KEs, as well as the elucidation of the MIE.

Known Modulating Factors

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

Quantitative Understanding

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

The quantitave understanding of the KERs does not apply to this qualitative AOP. The Weight of Evidence (WoE) analysis revealed that many KERs lack considerable experimental proof, particularly in demonstrating the direct relationship with the proposed upstream and downstream KEs within individual studies. Therefore, this AOP should be considered as a qualitative contribution and as a backbone to build on in the future until quantitative data becomes available.

While some quantitative connections between upstream KEs have been identified in a few studies, the variability in the models used and the dosages chosen makes it difficult to compare studies and draw conclusions. Ideally, future efforts to strengthen WoE should focus on either gathering data from a single system type that shows exposure to a stressor correlating with changes observed in all described KEs or harmonizing the existing evidence in order to identify gaps to be filled and to further investigate.

Considerations for Potential Applications of the AOP (optional)

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

The AOP described here aims to provide a basic mechanistic framework for developing in vitro assays that could accurately predict quantitatively nephrotoxicity safety assessments. These assays could be part of an integrated testing strategy to minimize the need for repeated dose toxicity studies. Generating quantitative data by measuring all KEs in a single model after exposure to various concentrations of CNI could also accelerate the development of computational predictive methods. With potential overlap between KEs in this AOP with other nephrotoxic agents, the current AOP could offer additional connections for extensive networks to model nephrotoxicity and kidney failure.

References

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

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