The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Cell Death Mechanisms and Their Implications in Toxicology
Abstract
Necrotic cell death was long regarded as the ultimate consequence of chemical toxicity and was thought to result from simple cell failure because of toxic interference with vital cell functions. Introduction of the novel concept of programmed cell death (PCD), or apoptosis, has changed this view dramatically. This development has been further stimulated by the characterization of several other genetically PCD modalities, such as autophagy and pyroptosis. Like apoptosis, these modes of cell death are governed by complex signaling networks, containing "switches" responsible for cross talk between them. Recruitment or repression of these cell death signaling networks by foreign chemicals can lead to acute as well as chronic toxicity. In many instances, such effects of toxicants are mediated by disruption/modulation of cellular Ca(2+) homeostasis or increased generation of reactive oxygen species in the mitochondria or other intracellular compartments. Caspases, calpains, lysosomal proteases, and endonucleases are the main executioners of cell death, and they often co-operate during the execution stage of apoptosis. Finally, dead or dying cells are recognized and engulfed by phagocytes to prevent inflammation and associated tissue damage. Defective macrophage engulfment and degradation of cell corpses may also result from toxicity and can contribute to both the inflammatory response and dysregulation of tissue homeostasis. Hence, the cell death and phagocytosis regulatory networks offer a multitude of targets for toxic chemicals.
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BackgroundDRAM, a p53-Induced Modulator of Autophagy, Is Critical for Apoptosis
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Cited by
Activation of apoptosis signalling pathways by reactive oxygen species
Redza-Dutordoir, M., & Averill-Bates, D. A. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2016.09.012 · Cited by 3,731
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A review on the recent applications of deep learning in predictive drug toxicological studies
Sinha, K., Ghosh, N., & Sil, P. C. (2023) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.2c00375 · Cited by 64
Uncoupling of ATP-depletion and cell death in human dopaminergic neurons
Pöltl, D., Schildknecht, S., Karreman, C., & Leist, M. (2012) · NeuroToxicology · doi:10.1016/j.neuro.2011.12.007 · Cited by 49
Metadata
- Authors
- Orrenius, S., Nicotera, P., & Zhivotovsky, B.
- Venue
- Toxicological Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-09-09
- Volume
- 119
- Issue
- 1
- Pages
- 3-19
- ISSN
- 1096-0929 (ISSN-L)
- 1096-6080
- OpenAlex
- W2101810837
- Cited by
- 411
- References
- 13
- FWCI
- 9.22
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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