Pengaruh Durasi DM Tipe 2 Terhadap Angka Leukosit dan Hitung Jenis Leukosit Pada Tikus Wistar Pasca Bilateral Common Carotid Artery Occlusion (BCCAO)

Ety Sari Handayani, Farah Jasmine Dianita, Rahma Yuantari Yuantari

Abstract

Pendahuluan: Stroke iskemik merupakan masalah kesehatan yang sering ditemui di dunia terutama Indonesia. BCCAO merupakan teknik yang dapat digunakan untuk menginduksi iskemia serebral. Salah satu faktor risiko stroke iskemik yaitu diabetes melitus tipe 2 dimana dapat meningkatkan agregasi leukosit dan aktivasi aterosklerosis. Mengetahui pengaruh durasi diabetes melitus tipe 2 terhadap angka leukosit dan hitung jenis leukosit pada tikus pasca ligasi BCCAO.

Metode: Jenis penelitian berupa kuasi eksperimental. Subjek penelitian ini yaitu tikus jantan dewasa (Rattus norvegicus) galur Wistar. Tikus dikelompokkan menjadi 4 kelompok perlakuan, masing-masing terdiri dari 6 ekor tikus. Kelompok 1 merupakan kelompok sham operated, kelompok 2 merupakan kelompok iskemik (diligasi BCCAO selama 20 menit dan reperfusi 7 hari), kelompok 3 merupakan kelompok perlakuan DM-iskemik (DM selama 2 minggu dengan BCCAO), dan kelompok 4 merupakan kelompok DM-iskemik (DM selama 3 minggu dengan BCCAO. Analisis data menggunakan uji ANOVA dan Kruskal Wallis.

Hasil: Angka leukosit dan hitung jenis leukosit pada DMT2 durasi 3 minggu memiliki nilai Neutrofil yang signifikan (23,53x 5,57; p = 0,014, p <0,05) dan Limfosit (66,68 x 6,16; p = 0,028, p <0,05) setelah induksi stroke iskemik.

Kesimpulan: Terdapat pengaruh durasi diabetes melitus tipe 2 terhadap hitung jenis leukosit yaitu neutrofil dan limfosit pada tikus pasca ligasi BCCAO.

Kata Kunci: Durasi DM, BCCAO, angka leukosit, hitung jenis leukosit

Keywords

durasi DM, BCCAO, angka lekosit, hitung jenis leukosit

Full Text:

PDF

References

Kementrian Kesehatan Republik Indonesia. (2013) ‘Riset Kesehatan Dasar, RISKESDAS’ Badan Penelitian dan Pengembangan Kesehatan, Jakarta. 2. Wiener, C., Fauci, A. S., Braunwald, E., Kasper, D. L., Hauser, S. L., Longo, D. L., & Loscalzo, J. (2008) ‘Harrison's principles of internal medicine, self-assessment and board review’. McGraw Hill Professional. 3. Wu, T. H., Chien, K. L., Lin, H. J., Hsu, H. C., Su, T. C., Chen, M. F., & Lee, Y. T. (2013) ‘Total white blood cell count or neutrophil count predict ischemic stroke events among adult Taiwanese: report from a community-based cohort study. BMC neurology’, 13(1), 7. 4. Lee WL, Harrison RE, Grinstein S. (2003) ‘Phagocytosis by neutrophil. Journal Microbes and Infection’, 5:1299-1306. 5. Bacigaluppi, M., Comi, G., & Hermann, D. M. (2010) ‘Animal Models of Ischemic Stroke . Part Two : Modeling Cerebral Ischemia’, 34–38. 6. Sanderson, T. H. and Wider, J. M. (2013) ‘2-Vessel Occlusion / Hypotension : A Rat Model of Global Brain Ischemia’, (June), pp. 1–8. doi: 10.3791/50173. 7. Kalogeris, T., Baines, C. P., Krenz, M., & Korthuis, R. J. (2012) ‘Cell Biology of Ischemia/Reperfusion Injury. Int Rev Cell Mol Biol’ (Vol. 298). 8. Ritter, L. S., Stempel, K. M., Coull, B. M., & Mcdonagh, P. F. (2016) ‘Leukocyte Platelet Aggregates in Rat Peripheral Blood After Ischemic Stroke and Reperfusion’ 05208(05208). 9. Nighoghossian, N., Wiart, M., Cakmak, S., Berthezène, Y., Derex, L., Cho, T. H., Hermier, M. (2007) ‘Inflammatory response after ischemic stroke: A USPIO-enhanced MRI study in patients. Stroke’ 38(2), 303–307. 10. Chen, R., Ovbiagele, B., and Feng, W. (2016) ‘Diabetes and stroke: epidemiology, pathophysiology, pharmaceuticals and outcomes’ The American journal of the medical sciences, 351(4), 380-386. 11. World Health Organization (2016) ‘Global Report on Diabetes’ , p.88. 12. Esper, A. M., Moss, M. and Martin, G. S. (2009) ‘The effect of diabetes mellitus on organ dysfunction with sepsis : an epidemiological study’, 13(1), pp. 9–14. 13. Yakhchalian, N., Mohammadian, N., Hatami, K., Nosrati, H., & Yousofvand, N. (2018) ‘Hematological and Serum Biochemical Analysis of Streptozotocin-Induced Insulin Dependent Diabetes Mellitus in Male Adult Wistar Rats’ bioRxiv, 359844. 14. Press, D. (2012) ‘Association between diabetes complications and leukocyte counts in Iranian patients’, pp. 7–11. 15. Charan, J., Kantharia, N.D. (2013) ‘How to Calculate Sample Size in Animal Studies. Journal of Pharmacology & Pharmacotherapeutics’, 4(4): 303-306. 16. Fowler, M. J. (2008) ‘Microvascular and Macrovascular Complications of Diabetes’, 26(2), pp. 77–82 17. Wang, Q., Tang, X. N., & Yenari, M. a. (2007) ‘The inflammatory response in stroke. Journal of Neuroimmunology’, 184(1-2), 53–68. 18. Jin, R., Yang, G., & Li, G. (2010) ‘Inflammatory mechanisms in ischemic stroke: role of inflammatory cells. Journal of leukocyte biology’, 87(5), 779-789. 19. Li, P., Gan, Y., Mao, L., Leak, R., Chen, J., Hu, H. (2014) ‘The Critical Roles of Immune Cells in Acute Brain Injuries, Springer Series in Translational Stroke Research’, 9-25 20. Yilmaz, G., granger, d.N. (2010) ‘Leukocyte Recruitment and Ischemic Brain Injury, Neuromolecular Med’, 12(2):193-204, doi:10.1007/s12017-009-8074-1 21. Lin, L., Wang, X., Yu Z. (2016) ‘Ischemia-reperfusion Injury in the Brain Mechanism and potential Therapeutic Strategies, Biochem Pharmacol’,5(4), 22. Kim, J. Y., Park, J., Chang, J. Y., Kim, S. H., & Lee, J. E. (2016) ‘Inflammation after ischemic stroke: the role of leukocytes and glial cells. Experimental neurobiology’, 25(5), 241-251. 23. Kraft, P., Drechsler, C., Schuhmann, M. K., Gunreben, I., Kleinschnitz, C. (2015) ‘Characterization of Peripheral Immune Cell Subsets in Patients with Acute and Chronic Cerebrovascular Disease: A Case-Control Study’, 16, 25433-25449; 24. Kawabori, M., Yenari, M.A. (2015) ‘Inflammatory Responses in Brain Ischemia, Curr Med Chem’, 22(10):1258-1277. 25. Yoon, S. S., & Zheng, Z. J. (2005) ‘’Elevated total white blood cell count with high blood glucose is associated with poor outcome after ischemic stroke. Journal of Stroke and Cerebrovascular Diseases’, 14(2), 88-93

DOI: https://doi.org/10.13057/smj.v5i1.42787

Refbacks

  • There are currently no refbacks.