Preview

Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics)

Advanced search
Open Access Open Access  Restricted Access Subscription or Fee Access

RNA analysis as a promising area of diagnostics in nephrology

https://doi.org/10.21508/1027-4065-2023-68-4-24-XX

Abstract

   Today, medicine is at a stage when traditional diagnostic tools no longer meet current needs, which has led to the rapid development of molecular diagnostic methods that not only complement traditional research methods but also provide insight from the point of view of molecular pathophysiology. mRNA analysis is a new field that could revolutionize the diagnosis and treatment of kidney disease. The study of mRNA can be used for diagnosing and classifying kidney diseases, predicting the progression of nephropathies, monitoring the effectiveness of treatment, and developing modern approaches to therapy. As a new field, mRNA analysis faces a number of challenges and limitations, but as technology advances, the technique becomes more accessible for clinical use.

About the Authors

S. L. Morozov
Veltischev Research and Clinical Institute for Pediatrics and Pediatric Surgery of the Pirogov Russian National Research Medical University; Pirogov Russian National Research Medical University
Russian Federation

Moscow



V. P. Pakhomova
Pirogov Russian National Research Medical University
Russian Federation

Moscow



V. Yu. Voinova
Veltischev Research and Clinical Institute for Pediatrics and Pediatric Surgery of the Pirogov Russian National Research Medical University; Pirogov Russian National Research Medical University
Russian Federation

Moscow



V. V. Dlin
Veltischev Research and Clinical Institute for Pediatrics and Pediatric Surgery of the Pirogov Russian National Research Medical University
Russian Federation

Moscow



References

1. Morozov S.L., Dlin V.V., Sukhorukov V.S., Voronkova A.S. Molecular nephropathology: new possibilities for diagnosing kidney diseases. Rossiyskiy vestnik perinatologii i pediatrii 2017; 62(3): 32–36. (in Russ.) DOI: 10.21508/1027–4065–2017–62–3–32–36

2. Morozov S.L., Voronkova A.S., Dlin V.V., Turkina T.I., Sukhorukov V.S. Analysis of gene expression using nCounter Nanostring technology in medical research: experience of use in children with nephrotic syndrome. Rossiyskiy vestnik perinatologii i pediatrii 2019; 64(1): 110–115. (in Russ.) DOI: 10.21508/1027–4065–2019–64–1–110–115

3. Neuen B.L., Bello A.K., Levin A., Lunney M., Osman M.A., Ye F. et al. National health policies and strategies for addressing chronic kidney disease: Data from the International Society of Nephrology Global Kidney Health Atlas. PLOS Glob Public Health 2023; 3(2): e0001467. DOI: 10.1371/journal.pgph.0001467

4. Morozov S.L., Aksenova M.E. Primary nephrotic syndrome in children. Prospects for personalized therapy. Prakticheskaya Meditsina 2018; 8: 39–42. (in Russ.)

5. Ignatova M.S., Dlin V.V. Nephrotic syndrome: past, present and future. Rossiyskiy vestnik perinatologii i pediatrii 2017; 62(6): 29–44. (in Russ.) URL: https://cyberleninka.ru/article/n/nefroticheskiy-sindrom-proshloe-nastoyaschee-i-buduschee?ysclid=lm7k8pcbn0915911031

6. Liu K-Z., Tian G., Ko AC-T., Geissler M., Brassard D., Veres T. Detection of renal biomarkers in chronic kidney disease using microfluidics: progress, challenges and opportunities. Biomed Microdevices 2020; 22(2): 29. DOI: 10.1007/s10544–020–00484–6

7. Dlin V.V., Morozov S.L. Personalized therapy in pediatric nephrology: problems and prospects. Rossiyskiy vestnik perinatologii i pediatrii. 2021; 66(2): 6–12. (in Russ.) DOI: 10.21508/1027–4065–2021–66–2–6–12

8. Ignatova M.S., Morozov S.L., Kryganova T.A., Shentseva D.V., Nazarova N.F., Konkova N.E. et al. Modern ideas about congenital anomalies of the urinary system (CAKUT syndrome) in children. Klinicheskaya nefrologiya 2013; 2: 58–64. (in Russ.)

9. Mizdrak M., Kumrić M., Kurir T.T, Božić J. Emerging biomarkers for early detection of chronic kidney disease. JPM 2022; 12(4): 548. DOI: 10.3390/jpm12040548

10. Reidy K., Kang H.M., Hostetter T., Susztak K. Molecular mechanisms of diabetic kidney disease. J Clin Invest 2014; 124(6): 2333–2340. DOI: 10.1172/JCI72271.

11. Yan Z., Wang G., Shi X. Advances in the progression and prognosis Biomarkers of chronic kidney disease. Front Pharmacol 2021; 12: 785375. DOI: 10.3389/fphar.2021.785375

12. Dlin V.V., Morozov S.L. Nephrotic syndrome: Is personalized therapy possible? Review. Pediatriya. Vostochnaya Evropa 2023; 11(1): 65–76. (in Russ.) DOI: 10.34883/PI.2023.11.1.007

13. Morozov S.L., Koval N.Yu., Stolyarevich E.S., Piruzieva O.R., Lepaeva T.V., Nikishina T.A. et al. Lupus nephritis as an actual problem of pediatric nephrology. A clinical example of class I lupus nephritis in a child with nephrotic syndrome. Prakticheskaya meditsina 2022; 20(2): 13–19. (in Russ.)

14. Varnell C.D., Stone H.K., Welge J.A. Bleeding complications after pediatric kidney biopsy: A Systematic Review and Meta-Analysis. CJASN. 2019; 14(1): 57–65. DOI: 10.2215/CJN.05890518

15. Floege J., Mak R.H., Molitoris B.A., Remuzzi G., Ronco P. Nephrology research — the past, present and future. Nat Rev Nephrol 2015; 11(11): 677–687. DOI: 10.1038/nrneph.2015.152

16. Molecular biology of the cell. 5<sup>th</sup> ed. Editor: B. Alberts New York: Garland Science; 2008: 1392.

17. Crick F.H. The genetic code--yesterday, today, and tomorrow. Cold Spring Harb Symp Quant Biol 1966; 31: 1–9.

18. Moore M.J., Proudfoot N.J. Pre-mRNA processing reaches back to transcription and ahead to translation. Cell 2009; 136(4): 688–700. DOI: 10.1016/j.cell.2009.02.001

19. Van De Vrie M., Deegens J.K., Eikmans M., Van Der Vlag J., Hilbrands L.B. Urinary MicroRNA as Biomarker in Renal Transplantation. Am J Transplant 2017; 17(5): 1160–1166. DOI: 10.1111/ajt.14082

20. Li B., Hartono C., Ding R., Sharma V.K., Ramaswamy R., Qian B. et al. Noninvasive diagnosis of renal-allograft rejection by measurement of messenger RNA for perforin and granzyme B in urine. N Engl J Med 2001; 344(13): 947–954. DOI: 10.1056/NEJM200103293441301

21. Mas V.R., Dumur C.I., Scian M.J., Gehrau R.C., Maluf D.G. MicroRNAs as biomarkers in solid organ transplantation. Am J Transplant 2013; 13(1): 11–19. DOI: 10.1111/j.1600–6143.2012.04313.x

22. ilflingseder J., Reindl-Schwaighofer R., Sunzenauer J., Kainz A., Heinzel A., Mayer B. et al. MicroRNAs in kidney transplantation. Nephrol Dial Transplant 2015; 30(6): 910–917. DOI: 10.1093/ndt/gfu280

23. Zhang W., Yi Z., Keung K.L., Shang H., Wei C., Cravedi P. et al. A peripheral blood gene expression signature to diagnose subclinical acute rejection. JASN [Internet] 2019; 30(8): 1481–1494. DOI: 10.1681/ASN.2018111098

24. Woroniecka K.I., Park A.S.D., Mohtat D., Thomas D.B., Pullman J.M., Susztak K. Transcriptome analysis of human diabetic kidney disease. Diabetes 2011; 60(9): 2354–2369. DOI: 10.2337/db10–1181

25. Kalantari S., Nafar M. A comprehensive narrative review of diagnostic biomarkers in human primary membranous nephropathy. Biomark Med 2017; 11(9): 781–797. DOI: 10.2217/bmm-2017–0081

26. Morozov S.L. Peculiarities of immune system gene expression in steroid-resistant nephrotic syndrome. Rossiyskiy vestnik perinatologii i pediatrii 2018; 63(4): 221–222. (in Russ.) DOI: 10.21508/1027–4065-congress-2018

27. Youssef D.M., Elbehidy R.M., Abdelhalim H.S., Amr G.E. Soluble interleukine-2 receptor and MDR1 gene expression levels as inflammatory biomarkers for prediction of steroid response in children with nephrotic syndrome. Iran J Kidney Dis 2011; 5(3): 154–161.

28. Morozov S.L., Voronkova A.S., Dlin V.V. Significance of ABCB1 gene expression in children with idiopathic nephrotic syndrome. Nefrologiya 2021; 25(1): 83–89. (in Russ.) DOI: 10.36485/1561–6274–2021–25–1–83–89

29. Donn R., Berry A., Stevens A., Farrow S., Betts J., Stevens R. et al. Use of gene expression profiling to identify a novel glucocorticoid sensitivity determining gene, BMPRII. FASEB J 2007; 21(2): 402–414. DOI: 10.1096/fj.06–7236com

30. Eikmans M., Baelde H.J., De Heer E., Bruijn J.A. Messenger RNA assessment in clinical nephrology: perspectives and progress of methodology. Nephrol Dialys Transplant 2005; 20(12): 2598–2601. DOI: 10.1093/ndt/gfi176

31. Shao О., Yang H., Zhuang X., Liao J., Yang P., Cheng J. et al. scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network. Nucleic Acids Res 2021; 49(21): e122–e122. DOI: 10.1093/nar/gkab775

32. Kamyshova E.S., Bobkova I.N., Kutyrina I.M. Modern ideas about the role of microRNAs in diabetic nephropathy: potential biomarkers and targets for targeted therapy. Saharnyi diabet 2017; 20(1): 42–50. (in Russ.) DOI: 10.14341/DM8237

33. Mengel M., Loupy A., Haas M., Roufosse C., Naesens M., Akalin E. et al. Banff 2019 Meeting Report: Molecular diagnostics in solid organ transplantation–Consensus for the Banff Human Organ Transplant (B-HOT) gene panel and open source multicenter validation. Am J Transplant 2020; 20(9): 2305–2317. DOI: 10.1111/ajt.16059


Review

For citations:


Morozov S.L., Pakhomova V.P., Voinova V.Yu., Dlin V.V. RNA analysis as a promising area of diagnostics in nephrology. Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics). 2023;68(4):24-31. (In Russ.) https://doi.org/10.21508/1027-4065-2023-68-4-24-XX

Views: 414


ISSN 1027-4065 (Print)
ISSN 2500-2228 (Online)