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Wei X, Tang X, Liu N, Liu Y, Guan G, Liu Y, Wu X, Liu Y, Wang J, Dong H, Wang S, Zheng Y. PyCoCa:A quantifying tool of carbon content in airway macrophage for assessment the internal dose of particles. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 851:158103. [PMID: 35988636 DOI: 10.1016/j.scitotenv.2022.158103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 08/09/2022] [Accepted: 08/13/2022] [Indexed: 06/15/2023]
Abstract
Given the lack of a comprehensive understanding of the complex metabolism and variable exposure environment, carbon particles in macrophages have become a potentially valuable biomarker to assess the exposure level of atmospheric particles, such as black carbon. However, the tedious and subjective quantification method limits the application of carbon particles as a valid biomarker. Aiming to obtain an accurate carbon particles quantification method, the deep learning and binarization algorithm were implemented to develop a quantitative tool for carbon content in airway macrophage (CCAM), named PyCoCa. Two types of macrophages, normal and foamy appearance, were applied for the development of PyCoCa. In comparison with the traditional methods, PyCoCa significantly improves the identification efficiency for over 100 times. Consistency assessment with the gold standard revealed that PyCoCa exhibits outstanding prediction ability with the Interclass Correlation Coefficient (ICC) values of over 0.80. And a proper fresh dye will enhance the performance of PyCoCa (ICC = 0.89). Subsequent sensitivity analysis confirmed an excellent performance regarding accuracy and robustness of PyCoCa under high/low exposure environments (sensitivity > 0.80). Furthermore, a successful application of our quantitative tool in cohort studies indicates that carbon particles induce macrophage foaming and the foaming decrease the carbon particles internalization in reverse. Our present study provides a robust and efficient tool to accurately quantify the carbon particles loading in macrophage for exposure assessment.
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Affiliation(s)
- Xiaoran Wei
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China
| | - Xiaowen Tang
- Department of Medicinal Chemistry, School of Pharmacy, Qingdao University, Qingdao 266071, China
| | - Nan Liu
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China
| | - Yuansheng Liu
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China
| | - Ge Guan
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China
| | - Yi Liu
- College of Computer Science and Technology, Ocean University of China, Qingdao, China
| | - Xiaohan Wu
- College of Computer Science and Technology, Ocean University of China, Qingdao, China
| | - Yingjie Liu
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China
| | - Jingwen Wang
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China
| | - Hanqi Dong
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China
| | - Shengke Wang
- College of Computer Science and Technology, Ocean University of China, Qingdao, China.
| | - Yuxin Zheng
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
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Ammendolia MG, De Berardis B. Nanoparticle Impact on the Bacterial Adaptation: Focus on Nano-Titania. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:3616. [PMID: 36296806 PMCID: PMC9609019 DOI: 10.3390/nano12203616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/29/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Titanium dioxide nanoparticles (nano-titania/TiO2 NPs) are used in different fields and applications. However, the release of TiO2 NPs into the environment has raised concerns about their biosafety and biosecurity. In light of the evidence that TiO2 NPs could be used to counteract antibiotic resistance, they have been investigated for their antibacterial activity. Studies reported so far indicate a good performance of TiO2 NPs against bacteria, alone or in combination with antibiotics. However, bacteria are able to invoke multiple response mechanisms in an attempt to adapt to TiO2 NPs. Bacterial adaption arises from global changes in metabolic pathways via the modulation of regulatory networks and can be related to single-cell or multicellular communities. This review describes how the impact of TiO2 NPs on bacteria leads to several changes in microorganisms, mainly during long-term exposure, that can evolve towards adaptation and/or increased virulence. Strategies employed by bacteria to cope with TiO2 NPs suggest that their use as an antibacterial agent has still to be extensively investigated from the point of view of the risk of adaptation, to prevent the development of resistance. At the same time, possible effects on increased virulence following bacterial target modifications by TiO2 NPs on cells or tissues have to be considered.
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