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Jochum K, Miccoli A, Sommersdorf C, Poetz O, Braeuning A, Tralau T, Marx-Stoelting P. NAM-based analysis of contaminant short-term organ toxicity in HepaRG and RPTEC/TERT1 cells. Toxicology 2025; 514:154104. [PMID: 40054833 DOI: 10.1016/j.tox.2025.154104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2025] [Revised: 02/20/2025] [Accepted: 02/24/2025] [Indexed: 03/15/2025]
Abstract
New Approach Methodologies (NAMs), including cell culture and multi-level omics analyses, are promising alternatives to animal testing. To become useable for risk assessment purposes, they have to be applicable for different substance groups. One important group of substances is food contaminants, including synthetic chemicals, such as perfluorooctanesulfonic acid (PFOS) and perfluorooctanoic acid (PFOA), and natural compounds, such as mycotoxins and pyrrolizidine alkaloids. We tested five known contaminants affecting the liver and/or the kidney - PFOS, PFOA, Aflatoxin B1 (AB1), lasiocarpine (Las), and cadmium chloride - using HepaRG and RPTEC/TERT1 cells at non-cytotoxic concentrations for 36 and 72 h. Our NAM-based testing protocol included marker protein analysis for cellular functions and targeted transcriptomics followed by bioinformatics pathway analysis. The effects observed were compared with established in vivo results. Protein analysis indicated various affected pathways in HepaRG cells, with generally fewer effects in RPTEC/TERT1 cells. The strongest transcriptional impact was noted for Las in HepaRG cells. This study demonstrated the test protocol's applicability across different substances, revealing significant differences between HepaRG and RPTEC/TERT1 cell lines. RPTEC/TERT1 cells, while expressing renal-specific CYP enzymes, were less suitable for detecting effects of substances requiring hepatic metabolic activation, like Las and AB1. Our data supports the concept of specific pathway toxicity, with pathway analysis enabling the prediction of effects based on mechanism rather than target organ. Employing multiple omics techniques provided comprehensive insights into various compound effects, including steatosis, reactive oxygen species production and DNA damage, highlighting the potential of an extended omics approach for advancing toxicological assessments.
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Affiliation(s)
- Kristina Jochum
- German Federal Institute for Risk Assessment, Department of Pesticides Safety, Berlin, Germany
| | - Andrea Miccoli
- German Federal Institute for Risk Assessment, Department of Pesticides Safety, Berlin, Germany; German Federal Institute for Risk Assessment, Department of Food Safety, Berlin, Germany
| | | | - Oliver Poetz
- Signatope GmbH, Reutlingen, Germany; NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Albert Braeuning
- German Federal Institute for Risk Assessment, Department of Food Safety, Berlin, Germany
| | - Tewes Tralau
- German Federal Institute for Risk Assessment, Department of Pesticides Safety, Berlin, Germany
| | - Philip Marx-Stoelting
- German Federal Institute for Risk Assessment, Department of Pesticides Safety, Berlin, Germany.
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Luo T, Song S, Wang S, Jiang S, Zhou B, Song Q, Shen L, Wang X, Song H, Shao C. Mechanistic insights into cadmium-induced nephrotoxicity: NRF2-Driven HO-1 activation promotes ferroptosis via iron overload and oxidative stress in vitro. Free Radic Biol Med 2025; 235:162-175. [PMID: 40311785 DOI: 10.1016/j.freeradbiomed.2025.04.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2025] [Revised: 04/27/2025] [Accepted: 04/28/2025] [Indexed: 05/03/2025]
Abstract
Cadmium (Cd), a pervasive environmental toxicant, poses significant threats to human and animal health through multi-organ toxicity. While ferroptosis has been implicated in Cd-induced pathologies, the molecular mechanisms underlying Cd-mediated nephrotoxicity remain poorly understood. This study elucidates the ferroptosis pathway in CdCl2-exposed PK-15 cells and murine kidney, characterized by iron overload, lipid peroxidation, and mitochondrial dysfunction, which were ameliorated by ferroptosis inhibitor ferrostatin-1. Transcriptomic analysis revealed substantial upregulation of heme oxygenase-1 (HO-1) following CdCl2 exposure. Mechanistically, CdCl2 triggered nuclear translocation of nuclear factor erythroid 2-related factor-2 (NRF2), subsequently activating HO-1 transcription. Over-activated HO-1 catalyzes the decomposition of heme and releases free iron, accompanied with the degradation of ferritin heavy chain 1 (FTH1) induced by CdCl2 exposure, which leads to intracellular iron overload and excessive lipid peroxides production through Fenton reaction, resulting in ferroptosis ultimately. In vivo validation confirmed NRF2/HO-1-mediated ferroptosis in CdCl2-induced murine nephrotoxicity. Both pre-treatment with HO-1 competitive inhibitor Zinc protoporphyrin IX (ZnPP) and knockout of HO-1 gene remarkably alleviated PK-15 cells against ferroptosis induced by CdCl2 treatment. Our findings demonstrate that Cd exposure initiates NRF2-mediated HO-1 overexpression, driving iron-dependent lipid peroxidation and subsequent ferroptosis. This mechanistic insight provides potential therapeutic targets for mitigating Cd-induced renal damage, advancing our understanding of heavy metal toxicity and its cellular consequences.
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Affiliation(s)
- Tongwang Luo
- College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China; Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, 311300, Zhejiang, China; Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Hangzhou, 311300, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, 311300, Zhejiang, China; Belt and Road International Joint Laboratory for One Health and Food Safety, Hangzhou, 311300, Zhejiang, China; China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, 311300, Zhejiang, China
| | - Shengzhe Song
- College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China; Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, 311300, Zhejiang, China; Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Hangzhou, 311300, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, 311300, Zhejiang, China; Belt and Road International Joint Laboratory for One Health and Food Safety, Hangzhou, 311300, Zhejiang, China; China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, 311300, Zhejiang, China
| | - Shujie Wang
- College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China; Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, 311300, Zhejiang, China; Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Hangzhou, 311300, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, 311300, Zhejiang, China; Belt and Road International Joint Laboratory for One Health and Food Safety, Hangzhou, 311300, Zhejiang, China; China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, 311300, Zhejiang, China
| | - Sheng Jiang
- College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China; Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, 311300, Zhejiang, China; Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Hangzhou, 311300, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, 311300, Zhejiang, China; Belt and Road International Joint Laboratory for One Health and Food Safety, Hangzhou, 311300, Zhejiang, China; China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, 311300, Zhejiang, China
| | - Bin Zhou
- College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China; Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, 311300, Zhejiang, China; Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Hangzhou, 311300, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, 311300, Zhejiang, China; Belt and Road International Joint Laboratory for One Health and Food Safety, Hangzhou, 311300, Zhejiang, China; China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, 311300, Zhejiang, China
| | - Quanjiang Song
- College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China; Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, 311300, Zhejiang, China; Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Hangzhou, 311300, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, 311300, Zhejiang, China; Belt and Road International Joint Laboratory for One Health and Food Safety, Hangzhou, 311300, Zhejiang, China; China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, 311300, Zhejiang, China
| | - Lingjun Shen
- College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China; Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, 311300, Zhejiang, China; Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Hangzhou, 311300, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, 311300, Zhejiang, China; Belt and Road International Joint Laboratory for One Health and Food Safety, Hangzhou, 311300, Zhejiang, China; China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, 311300, Zhejiang, China
| | - Xiaodu Wang
- College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China; Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, 311300, Zhejiang, China; Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Hangzhou, 311300, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, 311300, Zhejiang, China; Belt and Road International Joint Laboratory for One Health and Food Safety, Hangzhou, 311300, Zhejiang, China; China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, 311300, Zhejiang, China
| | - Houhui Song
- College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China; Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, 311300, Zhejiang, China; Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Hangzhou, 311300, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, 311300, Zhejiang, China; Belt and Road International Joint Laboratory for One Health and Food Safety, Hangzhou, 311300, Zhejiang, China; China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, 311300, Zhejiang, China.
| | - Chunyan Shao
- College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China; Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Hangzhou, 311300, Zhejiang, China; Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Hangzhou, 311300, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Hangzhou, 311300, Zhejiang, China; Belt and Road International Joint Laboratory for One Health and Food Safety, Hangzhou, 311300, Zhejiang, China; China-Australia Joint Laboratory for Animal Health Big Data Analytics, Hangzhou, 311300, Zhejiang, China.
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Ageena SA, Bakr AG, Mokhlis HA, Abd-Ellah MF. Renoprotective effects of apocynin and/or umbelliferone against acrylamide-induced acute kidney injury in rats: role of the NLRP3 inflammasome and Nrf-2/HO-1 signaling pathways. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2025; 398:569-580. [PMID: 39028331 PMCID: PMC11787205 DOI: 10.1007/s00210-024-03271-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 07/01/2024] [Indexed: 07/20/2024]
Abstract
Acrylamide (ACR) is a toxic, probably carcinogenic compound commonly found in fried foods and used in the production of many industrial consumer products. ACR-induced acute kidney injury is mediated through several signals. In this research, we investigated, for the first time, the therapeutic effects of phytochemicals apocynin (APO) and/or umbelliferone (UMB) against ACR-induced nephrotoxicity in rats and emphasized the underlying molecular mechanism. To achieve this goal, five groups of rats were randomly assigned: the control group received vehicle (0.5% CMC; 1 ml/rat), ACR (40 mg/kg, i.p.), ACR + APO (100 mg/kg, P.O.), ACR + UMB (50 mg/kg, P.O.), and combination group for 10 days. In ACR-intoxicated rats, there was a significant reduction in weight gain while the levels of blood urea, uric acid, creatinine, and Kim-1 were elevated, indicating renal injury. Histopathological injury was also observed in the kidneys of ACR-intoxicated rats, confirming the biochemical data. Moreover, MDA, TNF-α, and IL-1β levels were raised; and GSH and SOD levels were decreased. In contrast, treatment with APO, UMB, and their combination significantly reduced the kidney function biomarkers, prevented tissue damage, and decreased inflammatory cytokines and MDA. Mechanistically, it suppressed the expression of NLRP-3, ASC, GSDMD, caspase-1, and IL-1β, while it upregulated Nrf-2 and HO-1 in the kidneys of ACR-intoxicated rats. In conclusion, APO, UMB, and their combination prevented ACR-induced nephrotoxicity in rats by attenuating oxidative injury and inflammation, suppressing NLRP-3 inflammasome signaling, enhancing antioxidants, and upregulating Nrf-2 and HO-1 in the kidneys of ACR-induced rats.
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Affiliation(s)
- Saad A Ageena
- Department of Pharmacology & Toxicology, Faculty of Pharmacy, Al Azhar University, Assiut Branch, Assiut, 71524, Egypt.
| | - Adel G Bakr
- Department of Pharmacology & Toxicology, Faculty of Pharmacy, Al Azhar University, Assiut Branch, Assiut, 71524, Egypt
| | - Hamada A Mokhlis
- Department of Pharmacology & Toxicology, Faculty of Pharmacy (Boys), Al-Azhar University, Cairo, Egypt
- Department of Pharmacy Practice, Faculty of Pharmacy, Kantara Branch, Sinai University, Cairo, Egypt
| | - Mohamed F Abd-Ellah
- Department of Pharmacology & Toxicology, Faculty of Pharmacy (Boys), Al-Azhar University, Cairo, Egypt
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