Features of the immune and metabolomic profile in overweight children associated with polymorphic variants of the IL-1B and TP53 genes

Oleg V. Dolgikh , Nina V. Zaitseva , Natalya A. Nikonoshina , Vadim B. Alekseev

Kazan medical journal ›› 2023, Vol. 104 ›› Issue (2) : 183 -191.

PDF
Kazan medical journal ›› 2023, Vol. 104 ›› Issue (2) : 183 -191. DOI: 10.17816/KMJ108890
Theoretical and clinical medicine
research-article

Features of the immune and metabolomic profile in overweight children associated with polymorphic variants of the IL-1B and TP53 genes

Author information +
History +
PDF

Abstract

Background. The growing number of overweight children is an important problem of modern healthcare. Excess body weight causes the risk of severe metabolic disorders developing. Analysis of changes in the immune, metabolic, and genetic profile of overweight children as markers of the early development of metabolic disorders is an effective tool for the prevention, diagnosis, and treatment of these pathologies.

Aim. To identify the features of the immune and metabolomic profile in overweight children aged 7–11 years associated with polymorphic variants of the IL-1B (rs1143634) and TP53 (rs1042522) genes.

Material and methods. 132 children aged 7–11 years were examined: 54 children with overweight and 78 children with normal body weight. The lymphocytes subpopulation composition was analyzed by flow cytometry; the content of leptin, cortisol, superoxide dismutase, lipid hydroperoxide and interleukin-1β — using enzyme immunoassay, immunoglobulin G — using the method of radial immunodiffusion method by Mancini. Polymorphic variants of the IL-1B (rs1143634) and TP53 (rs1042522) genes were identified by real-time polymerase chain reaction. Statistical data processing was implemented in the Statistica 10, SNPStat and Gen-Expert programs.

Results. The immune profile of the examined children was characterized by an increased content of CD3+CD8+-, CD19+-lymphocytes and immunoglobulin G against the background of CD3+CD4+-lymphocytes, p53 deficiency and a decrease in the number of CD4+/CD8+. The metabolomic profile of children was characterized by an excess content of leptin, cortisol, lipid hydroperoxides, and superoxide dismutase. The identified changes in immune and metabolomic regulation in overweight children were significantly associated with the G allele and GG genotype of the IL-1B gene (rs1143634), as well as with the C allele and CC genotype of the TP53 gene (rs1042522), which cause the initiation of inflammation and inhibition of apoptosis.

Conclusion. The established features of immune and metabolomic regulation associated with the G allele and GG genotype of the IL-1B gene (rs1143634) and with the C allele and CC genotype of TP53 gene (rs1042522) represent a complex of markers of overweight formation in children aged 7–11 years.

Keywords

children / overweight / immune profile / humoral regulation / genetic polymorphism

Cite this article

Download citation ▾
Oleg V. Dolgikh, Nina V. Zaitseva, Natalya A. Nikonoshina, Vadim B. Alekseev. Features of the immune and metabolomic profile in overweight children associated with polymorphic variants of the IL-1B and TP53 genes. Kazan medical journal, 2023, 104(2): 183-191 DOI:10.17816/KMJ108890

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Abarca-Gómez L, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Acuin C, Adams RJ, Aekplakorn W, Afsana K, Aguilar-Salinas CA, Agyemang C, Ahmadvand A, Ahrens W, Ajlouni K, Akhtaeva N, Al-Hazzaa HM, Al-Othman AR, Al-Raddadi R, Al Buhairan F, Al Dhukair S, Lehtimäki T, Ronkainen K, Uusitalo H. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: A pooled analysis of 2416 population-based measurement studies in 128•9 million children, adolescents, and adults. Lancet. 2017;290(10113):2627–2642. DOI: 10.1016/S0140-6736(17)32129-3.

[2]

Balanova YuA, Shalnova SA, Deev AD, Imaeva AE, Kontsevaya AV, Muromtseva GA, Kapustina АV, Evstifeeva SE, Drapkina ОM. Obesity in Russian population — prevalence and association with the non-communicable diseases risk factors. Russian Journal of Cardiology. 2018;(6):123–130. (In Russ.) DOI: 10.15829/1560-4071-2018-6-123-130.

[3]

Баланова Ю.А., Шальнова С.А., Деев А.Д., Имаева А.Э., Концевая А.В., Муромцева Г.А., Капустина А.В., Евстифеева С.Е., Драпкина О.В. Ожирение в российской популяции — распространённость и ассоциации с факторами риска хронических неинфекционных заболеваний. Российский кардиологический журнал. 2018;(6):123–130. DOI: 10.15829/1560-4071-2018-6-123-130.

[4]

Isbit J. Preventing diseases of civilization. J Pediatr Surg. 2018;53(6):1261. DOI: 10.1016/j.jpedsurg.2018.02.099.

[5]

Dolgikh OV, Zaitseva NV, Nikonoshina NA. Neurohumoral and immune profile features in children with the functional disorders of autonomic nervous system associated with the sirtuin gene SIRT1 (rs7069102) polymorphism. Bulletin of experimental biology and medicine. 2021;172(11):622–626. (In Russ.) DOI: 10.47056/0365-9615-2021-172-11-622-626.

[6]

Долгих О.В., Зайцева Н.В., Никоношина Н.А. Особенности нейрогуморального и иммунного профиля детей с функциональными расстройствами вегетативной нервной системы, ассоциированные с полиморфизмом гена сиртуина SIRT1 (rs7069102). Бюллетень экспериментальной биологии и медицины. 2021;172(11):622–626. DOI: 10.47056/0365-9615-2021-172-11-622-626.

[7]

Romantsova TI, Sych YuP. Immunometabolism and metainflammation on obesity. Obesity and metabolism. 2019;16(4):3–17. (In Russ.) DOI: 10.14341/omet12218.

[8]

Романцова Т.И., Сыч Ю.П. Иммунометаболизм и метавоспаление при ожирении. Ожирение и метаболизм. 2019;16(4):3–17. DOI: 10.14341/omet12218.

[9]

Klinicheskoe rukovodstvo Titsa po laboratornym testam. (Tietz clinical guide to laboratory tests.) Woo AHB, editor. Menshikov VV, translator. Moscow: Labora; 2013. 1280 р. (In Russ.)

[10]

Клиническое руководство Тица по лабораторным тестам. Под ред. А.Х.Б. Ву. Пер. с англ. под ред. В.В. Меньшикова. М.: Лабора; 2013. 1280 с.

[11]

Setko AG, Bulycheva EV, Setko NP. Percularities of prenosological changes in mental and physical health of students of generation Z. Health risk analysis. 2019;(4):158–164. (In Russ.) DOI: 10.21668/health.risk/2019.4.17.

[12]

Сетко А.Г., Булычева Е.В., Сетко Н.П. Особенности развития донозологических изменений в психическом и физическом здоровье у учащихся поколения Z. Анализ риска здоровью. 2019;(4):158–164. DOI: 10.21668/health.risk/2019.4.17.

[13]

Barazzoni R, Cappellari GG, Ragni M, Nisoli E. Insulin resistance in obesity: an overview of fundamental alterations. Eat Weight Disord. 2018;23:149–157. DOI: 10.1007/s40519-018-0481-6.

[14]

Troshina EA. The role of cytokines in the processes of adaptive integration of immune and neuroendocrine reactions of the human body. Problems of Endocrinology. 2021;67(2):4–9. (In Russ.) DOI: 10.14341/probl12744.

[15]

Трошина Е.А. Роль цитокинов в процессах адаптивной интеграции иммунных и нейроэндокринных реакций организма. Проблемы эндокринологии. 2021;67(2):4−9. DOI: 10.14341/probl12744.

[16]

Gancheva S, Jelenik T, Alvarez-Hernandez E, Roden M. Interorgan metabolic crosstalk in human insulin resistance. Physiol Rev. 2018;98(3):1371–1415. DOI: 10.1152/physrev.00015.2017.

[17]

Carlos D, Costa FRC, Pereira CA, Rocha FA, Yaochite JNU, Oliveira GG, Carneiro FS, Tostes RC, Ramos SG, Zamboni DS, Camara NOS, Ryffel B, Silva JS. Mitochondrial DNA activates the NLRP3 inflammasome and predisposes to type 1 diabetes in murine model. Front Immunol. 2017;8:164. DOI: 10.3389/fimmu.2017.00164.

[18]

Hill S, Sataranatarajan K, van Remmen H. Role of signaling molecules in mitochondrial stress response. Front Genet. 2018;9:225. DOI: 10.3389/fgene.2018.00225.

[19]

Pfister AS. Emerging role of the nucleolar stress response in autophagy. Front Cell Neurosci. 2019;13:156. DOI: 10.3389/fncel.2019.00156.

[20]

Jo E-K, Kim JK, Shin D-M, Sasakawa C. Molecular mechanisms regulating NLRP3 inflammasome activation. Cell Mol Immunol. 2016;13(2):148–159. DOI: 10.1038/cmi.2015.95.

[21]

Liang JJ, Fraser IDC, Bryant CE. Lipid regulation of NLRP3 inflammasome activity through organelle stress. Trends Immunol. 2021;42(9):807–823. DOI: 10.1016/j.it.2021.07.005.

RIGHTS & PERMISSIONS

Eco-Vector

AI Summary AI Mindmap
PDF

118

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/