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Yaakoub H, Mina S, Calenda A, Bouchara JP, Papon N. Oxidative stress response pathways in fungi. Cell Mol Life Sci 2022; 79:333. [PMID: 35648225 PMCID: PMC11071803 DOI: 10.1007/s00018-022-04353-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/21/2022] [Accepted: 05/05/2022] [Indexed: 11/03/2022]
Abstract
Fungal response to any stress is intricate, specific, and multilayered, though it employs only a few evolutionarily conserved regulators. This comes with the assumption that one regulator operates more than one stress-specific response. Although the assumption holds true, the current understanding of molecular mechanisms that drive response specificity and adequacy remains rudimentary. Deciphering the response of fungi to oxidative stress may help fill those knowledge gaps since it is one of the most encountered stress types in any kind of fungal niche. Data have been accumulating on the roles of the HOG pathway and Yap1- and Skn7-related pathways in mounting distinct and robust responses in fungi upon exposure to oxidative stress. Herein, we review recent and most relevant studies reporting the contribution of each of these pathways in response to oxidative stress in pathogenic and opportunistic fungi after giving a paralleled overview in two divergent models, the budding and fission yeasts. With the concept of stress-specific response and the importance of reactive oxygen species in fungal development, we first present a preface on the expanding domain of redox biology and oxidative stress.
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Affiliation(s)
- Hajar Yaakoub
- Univ Angers, Univ Brest, IRF, SFR ICAT, 49000, Angers, France
| | - Sara Mina
- Department of Medical Laboratory Sciences, Faculty of Health Sciences, Beirut Arab University, Beirut, Lebanon
| | | | | | - Nicolas Papon
- Univ Angers, Univ Brest, IRF, SFR ICAT, 49000, Angers, France.
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Kudrinskiy A, Zherebin P, Gusev A, Shapoval O, Pyee J, Lisichkin G, Krutyakov Y. New Relevant Descriptor of Linear QNAR Models for Toxicity Assessment of Silver Nanoparticles. NANOMATERIALS (BASEL, SWITZERLAND) 2020; 10:E1459. [PMID: 32722446 PMCID: PMC7466614 DOI: 10.3390/nano10081459] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 07/17/2020] [Accepted: 07/23/2020] [Indexed: 01/22/2023]
Abstract
The use of silver nanoparticles (NPs) in medical, industrial and agricultural fields is becoming more widespread every year. This leads to an increasing number of experimental toxicological and microbiological studies of silver NPs aimed at establishing the risk-benefit ratio for their application. The following key parameters affecting the biological activity of silver dispersions are traditionally taken into consideration: mean diameter of NPs, surface potential of NPs and equilibrium concentration of Ag+. These characteristics are mainly predetermined by the chemical nature of the capping agent used for stabilization. However, the extent to which they influence the biological activity and the toxicity of silver NPs varies greatly. In this work, dispersions of silver NPs stabilized with a wide array of substances of different chemical nature were used for quantitative evaluation of whether the various measurable properties of silver NPs fit as descriptors of linear QNAR (quantitative nanostructure-activity relationship) models for silver NP toxicity evaluation with respect to a model eukaryotic microorganism-Saccharomyces cerevisiae yeast cells. It was shown that among the factors that determine silver NP toxicity, the charge of particles, their colloidal stability and the ability to generate Ag+ ions carry more importance than the descriptors related to the particle size. A significant synergistic effect between the ζ-potential and the colloidal stability of silver NPs on their toxicity was also discovered. Following this, a new descriptor has been proposed for the integral characterization of the silver dispersion colloidal stability. According to the obtained data, it can be considered applicable for building QNAR models of higher efficacy. The validity testing of the proposed model for theoretical prediction of silver NP toxicity using a wide range of living organisms has shown that this new descriptor correlates with toxicity much better compared to most traditionally used descriptors. Consequently, it seems promising in terms of being used not only in situations involving the rather narrow array of the objects tested, but also for the construction of silver NP toxicity models with respect to other living organisms.
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Affiliation(s)
- Alexey Kudrinskiy
- Department of Chemistry, Lomonosov Moscow State University, Lenin Hills 1-3, 119991 Moscow, Russia; (A.K.); (P.Z.); (G.L.)
- National Research Center “Kurchatov Institute”, pl. Akademika Kurchatova 1, 123182 Moscow, Russia
| | - Pavel Zherebin
- Department of Chemistry, Lomonosov Moscow State University, Lenin Hills 1-3, 119991 Moscow, Russia; (A.K.); (P.Z.); (G.L.)
| | - Alexander Gusev
- Research Institute for Environmental Science and Biotechnology, Derzhavin Tambov State University, str. Moskovskaya 10, 392000 Tambov, Russia;
- Department of Functional Nanosystems and High-Temperature Materials, National University of Science and Technology “MISIS”, 119991 Moscow, Russia
- Engineering Center, Plekhanov Russian University of Economics, Stremyanny Lane 36, 117997 Moscow, Russia
| | - Olga Shapoval
- Pryanishnikov Russian Scientific Research Institute of Agrochemistry, str. Pryanishnikova 31a, 127550 Moscow, Russia;
| | - Jaeho Pyee
- Department of Molecular Biology, Dankook University, 119 Dandae str., Cheonan 31116, Korea;
| | - Georgy Lisichkin
- Department of Chemistry, Lomonosov Moscow State University, Lenin Hills 1-3, 119991 Moscow, Russia; (A.K.); (P.Z.); (G.L.)
| | - Yurii Krutyakov
- Department of Chemistry, Lomonosov Moscow State University, Lenin Hills 1-3, 119991 Moscow, Russia; (A.K.); (P.Z.); (G.L.)
- National Research Center “Kurchatov Institute”, pl. Akademika Kurchatova 1, 123182 Moscow, Russia
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