Establishment and evaluation of a rat model of inhalation lung injury induced by ship smoke
Abstract
Objective: We aimed to establish and evaluate a rat model of inhalation lung injury induced by ship smoke. Methods: We monitored the changes of oxygen, carbon monoxide, carbon dioxide and hydrogen sulfide concentration within 20 min after combustion of ship materials with a AIKE four in one gas detector. We detected the changes of arterial blood gas, coagulation time, and lung moisture content (%). Macroscopic and microscopic changes in lung tissue were observed to understand the degree of lung injury. Results: We set 5 g ship materials and smoked 15 min as experimental conditions. Metabolic acidosis in the early stage after inhalation, but metabolic acidosis combined with respiratory acidosis in later stage. Histopathological observation showed diffuse hemorrhage, edema and inflammatory cell infiltration in lung tissue as manifestations of lung injury, and the injury did not recover at 72 h after inhalation, the change of blood coagulation function was not statistically significant. Conclusion: A rat model of inhalation lung injury induced by ship smoke was successfully established, which has the advantages of easy replication, stability and reliability. It can be used to research and treatment inhalation lung injury induced by ship smoke in naval war environment and other cases.
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1. Shen J, Ma X, Qiao W. A model to evaluate the effectiveness of the maritime shipping risk mitigation system by entropy-based capability degradation analysis. International Journal of Environmental Research and Public Health 2022; 19(15): 9338. doi: 10.3390/ijerph19159338
2. Wu H, Hu Y, Wang W, et al. Ship fire detection based on an improved YOLO algorithm with a lightweight convolutional neural network model. Sensors 2022; 22(19): 7420. doi: 10.3390/s22197420
3. Puisa R, Williams S, Vassalos D. Towards an explanation of why onboard fires happen: The case of an engine room fire on the cruise ship “Le Boreal”. Applied Ocean Research 2019; 88: 223–232. doi: 10.1016/j.apor.2019.04.020
4. Lee AS, Mellins RB. Lung injury from smoke inhalation. Paediatric Respiratory Reviews 2006; 7(2): 123–128. doi: 10.1016/j.prrv.2006.03.003
5. Fonollosa J, Solórzano A, Marco S. Chemical sensor systems and associated algorithms for fire detection: A review. Sensors 2018; 18(2): 553. doi: 10.3390/s18020553
6. Xu LJ, Chen Q, Xiao CJ, et al. Qualitative analysis of the smoke composition of nonmetal materials of ships in combustion. Journal of Navy Medicine 2005; 26(1): 8–11. doi: 10.3969/j.issn.1009-0754.2005.01.004
7. Luo JH, Jiang YS, Chen LN. Characteristic and prevention as well as control of harmful gases causing by fire disaster in naval vessels chambers. Journal of Navy Medicine 2009; 30(2): 105–107. doi: 10.3969/j.issn.1009-0754.2009.02.004
8. Zhang F, Li M, Lan Y, Wang C. Imbalance of Th17/Tregs in rats with smoke inhalation-induced acute lung injury. Scientific Reports 2016; 6: 21348. doi: 10.1038/srep21348
9. Williams AE, Chambers RC. The mercurial nature of neutrophils: Still an enigma in ARDS? American Journal of Physiology—Lung Cellular and Molecular Physiology 2014; 306: L217–L230. doi: 10.1152/ajplung.00311.2013
10. Aggarwal NR, King LS, D’Alessio FR. Diverse macrophage populations mediate acute lung inflammation and resolution. American Journal of Physiology—Lung Cellular and Molecular Physiology 2014; 306: L709–L725. doi: 10.1152/ajplung.00341.2013
11. Abdullahi A, Amini-Nik S, Jeschke MG. Animal models in burn research. Cellular and Molecular Life Sciences 2014; 71(17): 3241–3255. doi: 10.1007/s00018-014-1612-5
12. Ballardcroft C, Sumpter LR, Broaddus R, et al. Ovine smoke/burn ARDS model: A new ventilator-controlled smoke delivery system. The Journal of Surgical Research 2010; 164(1): e155–e162. doi: 10.1016/j.jss.2010.05.042
13. Leiphrakpam PD, Weber HR, McCain A, et al. A novel large animal model of smoke inhalation-induced acute respiratory distress syndrome. Respiratory Research 2021; 22(1): 198. doi: 10.1186/s12931-021-01788-8
14. Mercel AI, Gillis DC, Sun K, et al. A comparative study of a preclinical survival model of smoke inhalation injury in mice and rats. American Journal of Physiology—Lung Cellular and Molecular Physiology 2020; 319(3): L471–L480. doi: 10.1152/ajplung.00241.2020
15. Xu LJ, Xiao CJ, Chen Q, et al. Quantitative analysis of the smoke composition formed by the burning of 7 nonmetal materials within the naval ship. Chinese Journal of Nautical Medicine and Hyperbaric Medicine 2009; 16(2): 117–119. doi: 10.3760/cma.j.issn.1009-6906.2009.02.025.
16. Dries DJ, Endorf FW. Inhalation injury: Epidemiology, pathology, treatment strategies. Scandinavian Journal of Trauma Resuscitation & Emergency Medicine 2013; 21(1): 1–15. doi: 10.1186/1757-7241-21-31
17. Zhao J, Zhu MX, Lu YM. Toxic gases in fire smoke and mechanism of poisoning. Chinese Journal of Emergency Medicine 2004; 13(7): 497–498. doi: 10.3760/j.issn:1671-0282.2004.07.031.
18. Abolhassani M, Guais A, Chaumet-Riffaud P, et al. Carbon dioxide inhalation causes pulmonary inflammation. American Journal of Physiology, Lung Cellular & Molecular Physiology 2009; 296(4): L657–L665. doi: 10.1152/ajplung.90460.2008
19. Li JX, Xia T, Qin WH, et al. The correlation analysis of indoor carbon monoxide concentration and chronic diseases. International Journal of Laboratory Medicine 2015; (16): 2326–2328. doi: 10.3969/j.issn.1673-4130.2015.16.015.
20. Gozubuyuk AA, Dag H, Kacar A, et al. Epidemiology, pathophysiology, clinical evaluation, and treatment of carbon monoxide poisoning in child, infant, and fetus. Northern Clinics of Istanbul 2017; 4(1): 100–107. doi: 10.14744/nci.2017.49368
21. Lange M, Cox RA, Enkhbaatar P, et al. Predictive role of arterial carboxyhemoglobin concentrations in ovine burn and smoke inhalation-induced lung injury. Experimental Lung Research 2011; 37(4): 239–245. doi: 10.3109/01902148.2010.538133
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