Plasma Levels of the Engulfment and Cell Motility Protein-1 are Associated with Kidney Damage in Diabetic Nephropathy: A Single-Center Pilot Study in Indonesia Population
DOI:
https://doi.org/10.3889/oamjms.2020.4276Keywords:
Engulfment and cell motility protein-1, Kidney damage level, Type 2 diabetes mellitus, Diabetic nephropathy, Albumin to creatinine ratio, Glomerular filtration rateAbstract
BACKGROUND: Diabetic nephropathy (DN) is a chronic kidney disease with microvascular complications which influence a patient’s quality of life and poses a potentially significant economic burden. The discovery of new biomarkers is needed to gain a better understanding and find additional treatment approaches beyond controlling plasma glucose and blood pressure. The engulfment and cell motility protein called engulfment and cell motility protein (ELMO)-1 is known to play a role in tissue remodeling and is associated with DN progression in animal models. Human studies correlating this protein with DN have been limited, although a genetic variation of ELMO-1 has been associated with DN.
AIMS: This research aimed to investigate the association and correlation of circulating ELMO-1 with the level of kidney damage in DN.
METHODS: The research design was cross-sectional. In this study, 60 patients with type 2 diabetes mellitus (T2DM) participated. Patients’ blood pressure, plasma glucose, and renal function parameters were measured to confirm the diagnosis. Albumin to creatinine ratio (ACR) was used to assess the level of kidney damage and determines DN group.
RESULTS: Analyses shown the severity of albuminuria which is associated with plasma ELMO-1 when DN is evident. Furthermore, in all study participants, plasma ELMO-1 was correlated with increased proteinuria, ACR, and decline of glomerular filtration rate.
CONCLUSIONS: Our research findings provide support for ELMO-1 as a promising marker of kidney damage level in patients with T2DM, especially when DN has occurred. Larger sample sizes and multicenter research in the Indonesian population are needed to confirm these results.
Downloads
Metrics
Plum Analytics Artifact Widget Block
References
Koye DN, Magliano DJ, Nelson RG, Pavkov ME. The global epidemiology of diabetes and kidney disease. Adv Chronic Kidney Dis. 2018;25(2):121-32. https://doi.org/10.1053/j. ackd.2017.10.011 PMid:29580576
Gheith O, Farouk N, Nampoory N, Halim MA, Al-Otaibi T. Diabetic kidney diseases. World wide difference of prevalence and risk factors. J Nephropharmacol. 2016;5(1):49-56. PMid:28197499
Persson F, Rossing P. Diagnosis of diabetic kidney disease: State of the art and future perspective. Kidney Int Suppl. 2018;8(1):2-7. PMid:30675433
Lee C, Lam KS. Biomarkers of progression in diabetic nephropathy: The past, present and future. J Diabetes Investig. 2015;6(3):247-9. https://doi.org/10.1111/jdi.12329 PMid:25969706
Currie G, Mckay G, Delles C. Biomarkers in diabetic nephropathy: Present and future. World J Diabetes. 2014;5(6):763-76. PMid:25512779
Alicic RZ, Rooney MT, Tuttle KR. Diabetic kidney disease: Challenges, progress and possibilities. Clin J Am Soc Nephrol. 2017;12(12):2032-45. https://doi.org/10.2215/cjn.11491116 PMid:28522654
Fioretto P, Mauer M. Histopathology of diabetic nephropathy. Semin Nephrol. 2007;27(2):195-207. https://doi.org/10.1016/j. semnephrol.2007.01.012 PMid:17418688
Batlle D. Clinical and cellular markers of diabetic nephropathy. Kidney Int. 2003;63(6):2319-30. https://doi. org/10.1046/j.1523-1755.2003.00053.x PMid:12753325
Shimazaki A, Kawamura Y, Kanazawa A, Sekine A, Saito S, Tsunoda T, et al. Genetic variations in the gene encoding ELMO1 are associated with susceptibility to diabetic nephropathy. Diabetes. 2005;54(4):1171-8. https://doi.org/10.2337/ diabetes.54.4.1171 PMid:15793258
Pezzolesi MG, Katavetin P, Kure M, Poznik GD, Skupien J, Mychaleckyj JC, et al. Confirmation of genetic associations at ELMO1 in the GoKinD collection supports its role as a susceptibility gene in diabetic nephropathy. Diabetes. 2009;58(11):2698-702. https://doi.org/10.2337/db09-0641 PMid:19651817
Bodhini D, Chidambaram M, Liju S, Revathi B, Laasya D, Sathish N, et al. Association of rs11643718 SLC12A3 and rs741301 ELMO1 variants with diabetic nephropathy in South Indian population. Ann Hum Gen. 2016;80(6):1-6. https://doi. org/10.1111/ahg.12174 PMid:27699784
Mehrabzadeh M, Pasalar P, Karimi M, Abdollahi M, Daneshpour M, Asadolahpour E, et al. Association between ELMO1 gene polymorphisms and diabetic nephropathy in an Iranian population. J Diabetes Metab Disord. 2016;15:43. https://doi.org/10.1186/s40200-016-0265-3 PMid:27761430
Hathaway CK, Chang AS, Grant R, Kim H, Madden VJ, Bagnell CR, et al. High Elmo1 expression aggravates and low Elmo1 expression prevents diabetic nephropathy. Proc Natl Acad Sci U S A. 2016;113(8):2218-22. https://doi.org/10.1073/ pnas.1600511113 PMid:26858454
Sharma KR, Heckler K, Stoll SJ, Hillebrands J, Kynast K, Herpel E, et al. ELMO1 protects renal structure and ultrafiltration in kidney development and under diabetic conditions. Sci Rep. 2016;6:37172. https://doi.org/10.1038/srep37172
Roshan B, Stanton RC. A story of microalbuminuria and diabetic nephropathy. J Nephropathol. 2013;2(4):234-40. PMid:24475455
Downloads
Published
How to Cite
License
Copyright (c) 2020 Elfiani Elfiani, Ellyza Nasrul, Yanwirasti Yanwirasti, Zulkhair Ali, Anggelia Puspasari (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
http://creativecommons.org/licenses/by-nc/4.0