Preview

Acta Biomedica Scientifica

Advanced search

Lipocalin associated with neutrophil gelatinase, matrix metalloproteinases 2 and 9 in the pathogenesis of acute kidney injury in thermal skin burns

https://doi.org/10.29413/ABS.2024-9.6.11

Abstract

Background. Acute kidney injury is one of the most serious complications of thermal skin burns; in most cases it remains undiagnosed in the first day after injury. Therefore, it is necessary to search for new biomarkers that can indicate the onset of renal damage. Lidocaine and matrix metalloproteinases are of the greatest interest. Currently, there is insufficient information about the participation of these proteins in the development of acute kidney injury in the pathogenesis of burn disease.

The  aim. To  evaluate the  dynamics of  changes in  the  levels of  lipocalin, matrix metalloproteinases 2 and 9 in blood serum in patients with thermal skin burns.

Materials and methods. The study included 74 patients with thermal skin burns of  I–III  degree with  a  skin lesion area of  more than 25  %, of  which at  least 15  % are  deep burns. Serum creatinine levels were determined using the  kinetic Jaffe method. The concentration of lidocaine and matrix metalloproteinases was studied by multiplex analysis on a flow cytofluorimeter.

Results. It was  found that the  level of  lipocalin in  the  blood serum of  patients with thermal skin burns increased 5.5 times in relation to the control group during the shock period. During the period of burn toxemia and septicotoxemia, this indicator remained at a high level and exceeded the control values. The concentration of  matrix metalloproteinase  2 in  blood serum during burn shock was  4.3  times higher, with burn toxemia – 3.5 times and during septicotoxemia – 2.9 times in relation to the control group. Similar dynamics was observed in the study of the level of matrix metalloproteinase 9.

Conclusion. Lipocalin and matrix metalloproteinases 2 and 9 can be considered as early biomarkers of acute kidney injury in patients with thermal burns.

About the Author

A. A. Konovalova
Chita State Medical Academy
Russian Federation

Alina  A. Konovalova – Postgraduate at  the  Department of  Advanced Level Surgery with a  course of  Pediatric Surgery,

Gorkogo str. 39A, Chita 672000



References

1. Maslyakov VV, Sidelnikov SA, Barachevskiy YE, Kurkin KG, Pimenova AA, Polidanov MA, et al. Simultaneous mass admission of emergency victims to medical treatment organizations: Organizational problems and possible ways to solve them. Disaster Medicine. 2023; (2): 51-55. (In Russ.) doi: 10.33266/2070-1004-2023-2

2. Shilova EM, Smirnova AV, Kozlovskaya NL. Nephrology. Moscow: GEOTAR-Media; 2020. (In Russ.).

3. Koval MG, Sorokina OYu, Tatsyuk SV. Impaired renal function in the acute period of burn disease and its prognostic value. Emergency Medicine. 2019; 7(102): 52-55. (In Russ.). doi: 10.22141/2224-0586.7.102.2019.180358

4. Desai RJ, Kazarov CL, Wong A, Kane-Gill SL. Kidney damage and stress biomarkers for early identification of drug-induced kidney injury: A systematic review. Drug Saf. 2022; 45(8): 839-852. doi: 10.1007/s40264-022-01202-2

5. Pacheco-Lugo L, Sáenz-García J, Navarro Quiroz E, González Torres H, Fang L, Díaz-Olmos Y, et al. Plasma cytokines as potential biomarkers of kidney damage in patients with systemic lupus erythematosus. Lupus. 2019; 28(1): 34-43. doi: 10.1177/0961203318812679

6. Romejko K, Markowska M, Niemczyk S. The review of current knowledge on neutrophil gelatinase-associated lipocalin (NGAL). Int J Mol Sci. 2023; 24(13): 10470. doi: 10.3390/ijms241310470

7. Ahuja SS, Castillo B (eds). Kidney biomarkers: Clinical aspects and laboratory determination. Academic Press; 2020. 8. Garcia-Fernandez N, Jacobs-Cachá C, Mora-Gutiérrez JM, Vergara A, Orbe J, Soler MJ. Matrix metalloproteinases in diabetic kidney disease. J Clin Med. 2020; 9(2): 472. doi: 10.3390/jcm9020472

8. Wozniak J, Floege J, Ostendorf T, Ludwig A. Key metalloproteinase-mediated pathways in the kidney. Nat Rev Nephrol. 2021; 17(8): 513-527. doi: 10.1038/s41581-021-00415-5

9. Mudrov VA. Statistical analysis algorithms of quantitative features in biomedical research using the SPSS software package. Transbaikalian Medical Bulletin. 2020; (1): 140-150. (In Russ.).

10. Mudrov VA. Algorithms for performing data correlation analysis in biomedical research using the SPSS software package. Transbaikalian Medical Bulletin. 2020; (2): 169-176. (In Russ.).

11. Malyarchikov AV, Shаpovаlov KG, Lukyanov SA, Tereshkov PP, Kazantseva LS. Acute kidney injury in patients with pneumonia with A/H1N1 influenza. Acta biomedica scientifica. 2021; 6(3): 53-59. (In Russ.). doi: 10.29413/ABS.2021- 6.3.5

12. Yuan JH, Xie LS, Zhu YH, Wang XH, Zhang YJ, Wang XJ. Combination of neutrophil gelatinase-associated lipocalin and matrix metalloproteinase-9 are biomarkers for the detection of colon tubular adenocarcinoma. World J Gastrointest Oncol. 2021; 13(10): 1506-1517. doi: 10.4251/wjgo.v13.i10.1506

13. Grigorkevich OS, Mokrov GV, Kosova LYu. Matrix metalloproteinases and their inhibitors. Pharmacokinetics and Pharmacodynamics. 2019; (2): 3-16. (In Russ.). doi: 10.24411/2587-7836-2019-10040

14. Yang H, Chen H, Liu F, Ma Q. Up-regulation of matrix metalloproteinases-9 in the kidneys of diabetic rats and the association with neutrophil gelatinase-associated lipocalin. BMC Nephrol. 2021; 22(1): 211. doi: 10.1186/s12882-021-02396-w


Review

For citations:


Konovalova A.A. Lipocalin associated with neutrophil gelatinase, matrix metalloproteinases 2 and 9 in the pathogenesis of acute kidney injury in thermal skin burns. Acta Biomedica Scientifica. 2024;9(6):111-117. (In Russ.) https://doi.org/10.29413/ABS.2024-9.6.11

Views: 176


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2541-9420 (Print)
ISSN 2587-9596 (Online)