Pro-inflammatory effects of placebo neurosurgery in rats: age-related features

Authors

DOI:

https://doi.org/10.30978/GS-2022-2-56

Keywords:

placebo surgery, phagocytes, neuroinflammation, systemic inflammation, inflammaging

Abstract

Alzheimer’s disease (AD) and Parkinson’s disease (PD) are the two most prevalent neurodegenerative diseases, affecting millions of people globally and causing significant disability and mortality. Animal models are the final step in completing preclinical studies and the most appropriate approach for gaining a thorough understanding of disease pathophysiology. Modeling of idiopathic AD and PD in rodents requires stereotactic injections of disease‑triggering substances. The placebo surgery group is an integral component of the design of these experiments in order to diminish study bias as a result of animal stress and non‑specific surgical impact. Inflammation is the most commonly reported non‑specific post‑surgery phenomenon, which can manifest in different ways in animals of different ages used in these experiments.

Objective — to compare the long‑term pro‑inflammatory effects of placebo surgery, commonly employed for PD and AD modeling, in rats of different ages.

Materials and methods. Adult male Wistar rats aged 4 and 14 months were used in the study. The placebo surgery consisted of a stereotactic unilateral intracerebral infusion of buffer solution. Before the placebo surgery, animals were anaesthetized using ketamine or xylazine administered intraperitoneally. Intact animals of both ages were used as a control. The evaluation of pro‑inflammatory effects of placebo surgery was conducted using biomarkers of local and systemic inflammation: metabolic polarization of phagocytes (microglia, peripheral blood cells), C‑reactive protein (CRP) plasma level, and systemic inflammation indexes calculated from the hemogram study.

Results. In young lesioned animals, a pronounced pro‑inflammatory functional shift of microglia and signs of the resolution of systemic inflammation (an anti‑inflammatory skew of circulating phagocyte metabolism as compared to age‑matched intact controls) were observed in the long term after the placebo neurosurgery. In old intact animals, hematological and immunological markers of low‑grade systemic inflammation were observed. In lesioned old rats, residual neuroinflammation along with pronounced systemic inflammatory responses (leukocytosis, substantially increased SIRI and SII values, pro‑inflammatory metabolic shift of peripheral blood phagocytes as compared to age‑matched intact controls) were registered.

Conclusions. The effects of placebo neurosurgical manipulations in rats depend on age. Meta‑inflammation inherent to aged rats is aggravated by non‑specific post‑surgery inflammation, leading to pronounced, persistent systemic inflammatory responses.

 

References

Aguwa US, Eze CE, Obinwa BN, et al. Comparing the effect of methods of rat euthanasia on the brain of wistar rats: Cervical dislocation, chloroform inhalation, diethyl ether inhalation and formalin inhalation. Journal of Advances in Medicine and Medical Research. 2020:8-16. doi: 10.9734/jammr/2020/v32i1730636.

Aiello A, Farzaneh F, Candore G, et al. Immunosenescence and its hallmarks: How to oppose aging strategically? A review of potential options for therapeutic intervention. Frontiers in Immunology. 2019;10. doi: 10.3389/fimmu.2019.02247.

Arias J-I, Aller M-A, Arias J. Surgical inflammation: A pathophysiological rainbow. Journal of Translational Medicine. 2009;7(1). doi: 10.1186/1479-5876-7-19.

Banerjee R, Rai A, Iyer SM, Narwal S, Tare M. Animal models in the study of alzheimer’s disease and parkinson’s disease: A historical perspective. Animal Models and Experimental Medicine. 2022;5(1):27-37. doi: 10.1002/ame2.12209.

Buckley MW, McGavern DB. Immune Dynamics in the CNS and its barriers during homeostasis and disease*. Immunological Reviews. 2022;306(1):58-75. doi: 10.1111/imr.13066.

Cassetta L, Cassol E, Poli G. Macrophage polarization in health and disease. The Scientific World JOURNAL. 2011;11:2391-2402. doi: 10.1100/2011/213962.

Cui L, Hou N-N, Wu H-M, et al. Prevalence of alzheimer’s disease and parkinson’s disease in China: An updated systematical analysis. Frontiers in Aging Neuroscience. 2020;12. doi: 10.3389/fnagi.2020.603854.

Dorsey ER, Elbaz A, Nichols E, et al. Global, regional, and national burden of parkinson’s disease, 1990-2016: A systematic analysis for the global burden of disease study 2016. The Lancet Neurology. 2018;17(11):939-953. doi: 10.1016/s1474-4422(18)30295-3.

El-naseery NI, Mousa HSE, Noreldin AE, El-Far AH, Elewa YHA. Aging-associated immunosenescence via alterations in splenic immune cell populations in rat. Life Sciences. 2020;241:117168. doi: 10.1016/j.lfs.2019.117168.

Gordon CJ, Rowsey PJ, Bishop BL, Ward WO, MacPhail RC. Serum biomarkers of aging in the Brown Norway rat. Experimental Gerontology. 2011;46(11):953-957. doi: 10.1016/j.exger.2011.07.006.

Hoban DB, Connaughton E, Connaughton C, et al. Further characterisation of the LPS model of parkinson’s disease: A comparison of intra-nigral and intra-striatal lipopolysaccharide administration on motor function, microgliosis and nigrostriatal neurodegeneration in the rat. Brain, Behavior, and Immunity. 2013;27:91-100. doi: 10.1016/j.bbi.2012.10.001.

Janowski M, ed. Experimental Neurosurgery in Animal Models. New York: Springer; 2016. doi: 10.1007/978-1-4939-3730-1.

Jin Z, Wu Q, Chen S, et al. The associations of two novel inflammation indexes, sii and Siri with the risks for cardiovascular diseases and all-cause mortality: A ten-year follow-up study in 85,154 individuals. Journal of Inflammation Research. 2021;Volume 14:131-140. doi: 10.2147/jir.s283835.

Karimi A, Shobeiri P, Kulasinghe A, Rezaei N. Novel systemic inflammation markers to predict ­COVID‑19 prognosis. Frontiers in Immunology. 2021;12. doi: 10.3389/fimmu.2021.741061.

Kasza Á, Penke B, Frank Z, et al. Studies for improving a rat model of alzheimer’s disease: ICV administration of well-characterized β-amyloid 1-42 oligomers induce dysfunction in spatial memory. Molecules. 2017;22(11):2007. doi: 10.3390/molecules22112007.

Ludwig N, Hilger A, Zarbock A, Rossaint J. Platelets at the crossroads of pro-inflammatory and resolution pathways during inflammation. Cells. 2022;11(12):1957. doi: 10.3390/cells11121957.

Margraf A, Ludwig N, Zarbock A, Rossaint J. Systemic inflammatory response syndrome after surgery: Mechanisms and protection. Anesthesia & Analgesia. 2020;131(6):1693-1707. doi: 10.1213/ane.0000000000005175.

Pjanova D, Hurmach Y, Rudyk M, et al. Effect of bacteriophage-derived double stranded RNA on rat peritoneal macrophages and microglia in normoxia and hypoxia. Proceedings of the Latvian Academy of Sciences Section B Natural, Exact, and Applied Sciences. 2021;75(5):343-349. doi: 10.2478/prolas-2021-0050.

Qu L, Matz AJ, Karlinsey K, Cao Z, Vella AT, Zhou B. Macrophages at the Crossroad of Meta-Inflammation and Inflammaging. Genes (Basel). 2022 Nov 9;13(11):2074. doi: 10.3390/genes13112074.

Ritzel RM, Patel AR, Grenier JM, et al. Functional differences between microglia and monocytes after ischemic stroke. Journal of Neuroinflammation. 2015;12(1). doi: 10.1186/s12974-015-0329-1.

Rudyk MP, Pozur VV, Voieikova DO, et al. Sex-based differences in phagocyte metabolic profile in rats with monosodium glutamate-induced obesity. Scientific Reports. 2018;8(1). doi: 10.1038/s41598-018-23664-0.

Salminen A. Activation of immunosuppressive network in the aging process. Ageing Research Reviews. 2020;57:100998. doi: 10.1016/j.arr.2019.100998.

Sendama W. The effect of ageing on the resolution of inflammation. Ageing Research Reviews. 2020;57:101000. doi: 10.1016/j.arr.2019.101000.

Soehnlein O, Lindbom L. Phagocyte partnership during the onset and resolution of inflammation. Nature Reviews Immunology. 2010;10(6):427-439. doi: 10.1038/nri2779.

Sokolenko VL. Impact of emotional stress on the immune system indices among residents of radiation contaminated areas. Fiziolohichnyĭ zhurnal. 2016;62(4):53-59. doi: 10.15407/fz62.04.053.

Swift T. ‘Sham surgery’ control groups: Etics and context. Research Ethics. 2011;7(4):148-155. doi: 10.1177/174701611100700405.

Torrance HD, Longbottom ER, Vivian ME, et al. Post-operative immune suppression is mediated via reversible, interleukin-10 dependent pathways in circulating monocytes following major abdominal surgery. PLOS ONE. 2018;13(9). doi: 10.1371/journal.pone.0203795.

Tucker SL, Sarr D, Rada B. Granulocytic myeloid-derived suppressor cells in cystic fibrosis. Frontiers in Immunology. 2021;12. doi: 10.3389/fimmu.2021.745326H.

Walker KA, Basisty N, Wilson DM 3rd, Ferrucci L. Connecting aging biology and inflammation in the omics era. J Clin Invest. 2022 Jul 15;132(14):e158448. doi: 10.1172/JCI158448.

Wang Q, Zhu D. The prognostic value of systemic immune-inflammation index (SII) in patients after radical operation for carcinoma of stomach in gastric cancer. Journal of Gastrointestinal Oncology. 2019;10(5):965-978. doi: 10.21037/jgo.2019.05.03.

Yousefzadeh MJ, Flores RR, Zhu Y, et al. An aged immune system drives senescence and ageing of solid organs. Nature. 2021;594(7861):100-105. doi: 10.1038/s41586-021-03547-7.

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Published

2022-12-30

How to Cite

1.
Nefodova A, Rudyk M, Pasichnichenko M, Dovhyi R, Dovbynchuk T, Tolstanova G, Skivka L. Pro-inflammatory effects of placebo neurosurgery in rats: age-related features. ЗХ [Internet]. 2022Dec.30 [cited 2024Dec.22];(2):56-63. Available from: http://generalsurgery.com.ua/article/view/265978

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Original Research