Improvement of information in determination of N-telopeptide of type 1 collagen molecules in complex of indicators of water-electrolyte metabolism

   This paper presents the results of an expert analysis of laboratory data of patients with pathology of the musculoskeletal system, obtained using an expert analytical system. The personal data of patients who had the index of N-telopeptide of type I collagen molecules (TP1NP) were analyzed. The complex of TP1NP connections in personal observations was established by comparing the structural features of the formation of a panel of ratios of indicators of water-electrolyte metabolism against the background of the dynamics of the analyzed osteomarkers. At the same time, two types of influence of TP1NP growth on the ‘final’ structure of the panel of electrolyte ratios were singled out from the general array and personally analyzed – a high influence of the complex of TP1NP-associated bonds at the intersystem level and at absolute values of TP1NP that go beyond > M + G. A detailed analysis of the recorded relationships is presented with the substantiation of the leading mechanisms for the formation of TP1NP-associated complexes using literary sources. The authors come to the conclusion that under conditions of ‘disturbing’ effects on the body, a pronounced reaction can be achieved, in particular, due to mutual multiplication (multiplication) of the effectiveness of various mechanisms without pronounced shifts in the absolute values of the analyzed indicator. At the same time, the increase in the quantitative indicator of TP1NP with a weak expression of its effect on the final structure of the panel of electrolyte ratios may correspond to the predominant effect on bone metabolism of other factors that go beyond the osteomarkers analyzed in the article, thereby determining the need to continue the search and deciphering different complexes. At the same time, the observations presented and analyzed in this work, which demonstrate a high degree of influence on the integral PSE of the TP1NP-associated complex, can be entered into the archive of the knowledge base and recognized in the routine interpretation of the obtained laboratory data on water-electrolyte metabolism.

1. Баранова И. Результаты скрининга на гиперкальциемию у населения областного центра европейского Севера России / И. Баранова, Т. Зыкова // Врач.. – 2017. – С. 67–69. – Baranova I., Zykova T. Results of skinning for hypercalcemia in the population of the regional center of the European North of Russia. Vrach., 2017., pp. 67–69. (In Russ.)

2. Березовская Г. А. Возможности лабораторной оценки состояний соединительной ткани / Г. А. Березовская, В. Л. Эмануэль // Ученые записки СПбГМУ им. акад. И. П. Павлова. – 2015.. – Т. XXII., № 2.. – С. 37–41. – Berezovskaya G. A., Emanuel V. L. Possibilities of laboratory assessment of connective tissue states. Scientific notes of St. Petersburg State Medical University. Acad. I. P. Pavlova., 2015., Volume XXII., No. 2., p. 37–41.

3. Markus J. Seibel Biochemical Markers of Bone Turnover Part I: Biochemistry and Variability. Clin Biochem Rev. 2005 Nov; 26 (4): 97–122.

4. Соломенников А. В. Новый подход к разработке методов персонализированного экспертного анализа лабораторных данных / А. В. Соломенников, А. И. Тюкавин, Н. А. Арсениев // Медицинский совет. – 2019. – 6: 164–168. DOI: https://doi.org/10.21518/2079–701X-2019–6–164–168. – Solomennikov A. V., Tyukavin A. I., Arseniev N. A. A new approach to the development of methods for personalized expert analysis of laboratory data. Medical Advice. 2019; 6: 164–168. DOI: https: //doi.org/10.21518/2079–701X-2019–6–164–168. (In Russ.)

5. Соломенников А. В. Дополнительные возможности использования компьютерных технологий в экспертном анализе лабораторных данных / А. В. Соломенников, А. И. Тюкавин, Н. А. Арсениев // Медицинский алфавит. – 2021. – (41): 34–40. https://doi.org/10.33667/2078–5631–2021–41–34–40. – Solomennikov A. V., Tyukavin A. I., Arseniev N. A. Additional opportunities for using computer technologies in expert analysis of laboratory data. Medical Alphabet. 2021; (41): 34–40. https://doi.org/10.33667/2078–5631–2021–41–34–40. (In Russ.)

6. C. Vahe, K. Benomar, S. Espiard, L. Coppin, A. Jannin, M. F. Odou, and M. C. Vantyghem. Diseases associated with calcium-sensing receptor. Orphanet J Rare Dis. 2017; 12: 19. Published online 2017 Jan 25. DOI: 10.1186/s13023–017–0570-z.

7. Scillitani A., Guarnieri V., Battista C., Chiodini I., Salcuni A. S., Minisola S., Francucci C. M., Carnevale V. Carboxyl-terminal parathyroid hormone fragments: biologic effects. J Endocrinol Invest. 2011 Jul; 34 (7 Suppl): 23–6.

8. Смирнов В. В. Гиперпаратиреоз в детском и подростковом возрасте / В. В. Смирнов, А.А. Рылькова // Лечащий врач. – 2018. – № 12. – С. 30–37. – Smirnov V. V., Rylkova A. A. Hyperparathyroidism in childhood and adolescence. Attending physician, 2018. No. 12. P. 30–37.

9. Герштейн Е. С. Лиганд-рецепторная система RANK / RANKL / OPG и ее роль при первичных новообразованиях костей (анализ литературы и собственные результаты) / Е. С. Гештейн [и др.] // Успехи молекулярной онкологии. – 2015.. – Том 2., № 3. – С. 52–59. – Gerstein. E. S., Timofeev Yu. S., Zuev A. A., Kushlinsky N. E. Ligand-receptor system RANK / RANKL / OPG and its role in primary bone neoplasms (literature analysis and own results) / Advances in Molecular Oncology, vol. 2., No. 3., p. 52–59

10. Peter Pietschmann, Diana Mechtcheriakova, Anastasia Meshcheryakova, Ursula Föger-Samwald, and Isabella Ellinger Gerontology / Immunology of Osteoporosis: A Mini-Review 2016; 62 (2): 128–137. Published online 2015 Jun 17. DOI: 10.1159/000431091.

11. Бурцева А. Л. Создание базы знаний для медицинской экспертной системы / А. Л. Бурцева, Е. В. Берестнева, Н. П. Степаненко // Современные наукоемкие технологии. – 2016. – № 3 (часть 1). – С. 14–17. – Burtseva A. L. Berestneva E. V. Stepanenko N. P. Creation of a knowledge base for a medical expert system. Modern High Technologies. 2016. No. 3 (part 1). P. 14–17. (In Russ.)