Assessment of the parameters of the fatty acid spectrum of blood serum in relation to hormonal status in obese adolescents
https://doi.org/10.29413/ABS.2025-10.5.18
Abstract
Rationale. The development and implementation of new high-tech mass spectrometric diagnostic methods into laboratory practice has determined the possibility of a global analysis of the human lipidome, in particular, for a detailed study of its fatty acid component and assessment of the role of individual free fatty acids (FFA) in the pathogenesis of obesity and associated diseases.
Objective. To identify the features of changes in the parameters of the fatty acid spectrum of blood serum and establish their relationship to hormonal status indicators in adolescents with obesity.
Materials and methods. A total of 27 adolescents aged 10–18 years with obesity (SDS BMI 2.0-3.9) were examined. The control group consisted of 27 adolescents with normal weight with comparable characteristics by gender and age. SDS BMI was calculated using the WHO Anthroplus calculator. The concentration of hormones and peptides in the blood serum was measured by ELISA. The mobile fatty acid pool of blood serum was assessed by chromatography-mass spectrometry on an Agilent 7000B detector.
Results. In adolescents with obesity of 1–3 degrees, elevated levels of insulin and C-peptide, decreased concentration of GLP-2 and fatty acid imbalance (decreased proportion of GLA, DGLA, DPA, DHA, AA and increased content of ALA, OA, POA, BA, MA, PA, MAA), as well as a low risk index for the development of a subintimal inflammatory reaction are recorded in the blood. In the group with obesity, direct and negative correlations were established between the content of individual hormones and fatty acids, which were absent between the corresponding parameters in the group of healthy individuals.
Conclusion. The established endocrine-metabolic changes in adolescents with obesity are pathogenetic factors of a complex of compensatory-adaptive reactions accompanying low-intensity inflammation.
About the Authors
I. E. Esimova
Siberian State Medical University
Russian Federation
Russian Federation
Irina E. Esimova – Dr. Sc. (Med.), Professor of the Department of Biochemistry and Molecular Biology with a course in Clinical Laboratory Diagnostics,
Moskovsky trakt 2, Tomsk 634050
O. V. Voronkova
Siberian State Medical University
Russian Federation
Russian Federation
Olga V. Voronkova – Dr. Sc. (Med.), Assistant Professor, Head of the Department of Biology and Genetics,
Moskovsky trakt 2, Tomsk 634050
Iu. G. Samoilova
Siberian State Medical University;
Institute of Medicine and Medical Technologies Novosibirsk State University
Russian Federation
Russian Federation
Iuliia G. Samoilova – Dr. Sc. (Med.), Professor, Professor of the Department of Pediatrics with a course in Endocrinology, Moskovsky trakt 2, Tomsk 634050;
Director, Pirogov Street, 1, Novosibirsk Oblast, Novosibirsk 630090
D. V. Podchinenova
Siberian State Medical University;
Institute of Medicine and Medical Technologies Novosibirsk State University
Russian Federation
Russian Federation
Daria V. Podchinenova – Cand. Sc. (Med.), Associate Professor of the Department of Pediatrics with a course in Endocrinology, Moskovsky trakt 2, Tomsk 634050;
Deputy Director, Pirogov Street, 1, Novosibirsk Oblast, Novosibirsk 630090
References
1. Peterkova VA, Bezlepkina OB, Bolotova NV, Bogova EA, Vasyukova OV, Hirsch YV, et al. Pediatric Obesity Guidelines. Problems of Endocrinology. 2021; 67(5): 67-83. (In Russ.). doi: 10.14341/probl12802
2. Vasyukova OV. Obesity in children and adolescents: diagnosis criteria. Obesity and metabolism. 2019; 16(1): 70-73. (In Russ.). doi: 10.14341/omet10170
3. Romantsova TI, Ostrovskaya EV. Metabolically healthy obesity: definitions, protective factors, clinical significance. Almanac of Clinical Medicine. 2015; 1: 75-86. (In Russ.).
4. Torkhovskaya TI, Zakharova TS, Korotkevich EI, Ipatova OM, Markin SS. Human plasma lipid: the possibilities and prospects of its analysis in medical chemistry. Bioorganic chemistry. 2019; 45(5): 488-501. (In Russ.). doi: 10.1134/S0132342319050142
5. Kytikova OYu, Antonyuk MV, Kantur TA, Novgorodtseva TP, Denisenko YuK. Prevalence and biomarkers of metabolic syndrome. Obesity and metabolism. 2021; 18(3): 302-312. (In Russ.). doi: 10.14341/omet12704
6. Orlova TI, Ukolov AI, Savelyeva EI, Radilov AS. Determination of free and esterified fatty acids in blood plasma by gas chromatography with mass-selective detection. Analytics and control. 2015; 19(2): 183-188. (In Russ.). doi: 10.15826/analitika.2015.19.2.002
7. Lavrenova EA, Drapkina OM. Insulin resistance in obesity: causes and consequences. Obesity and metabolism. 2020; 17(1): 48-55. (In Russ.). doi: 10.14341/omet9759
8. Zhang D, Wei Y, Huang Q, Chen Y, Zeng K, Yang W, et al. Important Hormones Regulating Lipid Metabolism. Molecules. 2022; 27(20): 7052. doi: 10.3390/molecules27207052
9. Maddaloni E, Bolli GB, Frier BM, Little RR, Leslie RD, Pozzilli P, et al. C-peptide determination in the diagnosis of type of diabetes and its management: A clinical perspective. Diabetes Obes Metab. 2022; 24(10): 1912-1926. doi: 10.1111/dom.14785
10. Pálsson TG, Gilliam-Vigh H, Jensen BAH, Jeppesen PB, Lund AB, Knop FK, et al. Targeting the GLP-2 receptor in the management of obesity. Peptides. 2024; 177: 171210. doi: 10.1016/j.peptides.2024.171210
11. Podchinenova DV, Tarabrina AA, Ogorodova LM, Samoilova IG, Matveeva MV, Oleynik OA. Patterns of eating habits and body composition in primary school children. Voprosy pitaniia [Problems of Nutrition]. 2023; 92 (3): 45-53. (In Russ.).
12. Romantsova TI, Sych YuP. Immunometabolism and metainflammation in obesity. Obesity and metabolism. 2019; 16(4): 3-17. (In Russ.). doi: 10.14341/omet12218
13. Khanna D, Khanna S, Khanna P, Kahar P, Patel BM. Obesity: A Chronic Low-Grade Inflammation and Its Markers. Cureus. 2022; 14(2): e22711. doi: 10.7759/cureus.22711
14. Obradovic M, Sudar-Milovanovic E, Soskic S, Essack M, Arya S, Stewart AJ, et al. Leptin and Obesity: Role and Clinical Implication. Front Endocrinol (Lausanne). 2021; 12: 585887. doi: 10.3389/fendo.2021.585887
15. Shcherbak SG, Vologzhanin DA, Vasiliev EV, Smolyannikov AA. Adipose tissue, lipid metabolism and immune response. University Therapeutic Journal. 2021; 3(3): 47-58. (In Russ.).
16. Tsai YW, Lu CH, Chang RC, Hsu YP, Ho LT, Shih KC. Palmitoleic acid ameliorates palmitic acid-induced proinflammation in J774A.1 macrophages via TLR4-dependent and TNF-α-independent signallings. Prostaglandins Leukot Essent Fatty Acids. 2021; 169: 102270. doi: 10.1016/j.plefa.2021.102270
17. Bermúdez MA, Pereira L, Fraile C, Valerio L, Balboa MA, Balsinde J. Roles of Palmitoleic Acid and Its Positional Isomers, Hypogeic and Sapienic Acids, in Inflammation, Metabolic Diseases and Cancer. Cells. 2022; 11(14): 2146. doi: 10.3390/cells11142146
18. Tripathi D, Kant S, Pandey S, Ehtesham NZ. Resistin in metabolism, inflammation, and disease. FEBS J. 2020; 287(15): 3141-3149. doi: 10.1111/febs.15322
19. Verbovoi AF, Lomonova TV. Resistin level and metabolic parameters in patients with type 2 diabetes mellitus in combination with hypothyroidism. Farmateka. 2020; 27(12): 49-54. (In Russ.). doi: 10.18565/pharmateca.2020.12.49-54
20. Zhang X, Bao J, Zhang Y, Wang X. Alpha-Linolenic Acid Ameliorates Cognitive Impairment and Liver Damage Caused by Obesity. Diabetes Metab Syndr Obes. 2024; 17: 981-995. doi: 10.2147/DMSO.S434671
21. Fan R, Kim J, You M, Giraud D, Toney AM, Shin SH, et al. α-Linolenic acid-enriched butter attenuated high fat diet-induced insulin resistance and inflammation by promoting bioconversion of n-3 PUFA and subsequent oxylipin formation. J Nutr Biochem, 2020; 76: 108285. doi: 10.1016/j.jnutbio.2019.108285
22. Zahradka P, Neumann S, Aukema HM, Taylor CG. Adipocyte lipid storage and adipokine production are modulated by lipoxygenase-derived oxylipins generated from 18-carbon fatty acids. Int J Biochem Cell Biol. 2017; 88: 23-30. doi: 10.1016/j.biocel.2017.04.009
23. Wang Z, Gao H, Ma X, Zhu D, Zhao L, Xiao W. Adrenic acid: A promising biomarker and therapeutic target (Review). Int J Mol Med. 2025; 55(2): 20. doi: 10.3892/ijmm.2024.5461
24. Hussey B, Steel RP, Gyimah B, Reynolds JC, Taylor IM, Lindley MR, et al. DNA methylation of tumour necrosis factor (TNF) alpha gene is associated with specific blood fatty acid levels in a gender-specific manner. Mol Genet Genomic Med. 2021; 9(12): e1679. doi: 10.1002/mgg3.1679
25. Yang G, Li L, Fang C, Zhang L, Li Q, Tang Y, et al. Effects of free fatty acids on plasma resistin and insulin resistance in awake rats. Metabolism. 2005; 54(9): 1142-1146. doi: 10.1016/j.metabol.2005.03.020
26. Shim YS, Kang MJ, Yang S, Hwang IT. Irisin is a biomarker for metabolic syndrome in prepubertal children. Endocr J. 2018; 65(1): 23-31. doi: 10.1507/endocrj.EJ17-0260
27. Slate-Romano JJ, Yano N, Zhao TC. Irisin reduces inflammatory signaling pathways in inflammation-mediated metabolic syndrome. Mol Cell Endocrinol. 2022; 552: 111676. doi: 10.1016/j.mce.2022.111676
28. Phung NV, Rong F, Xia WY, Fan Y, Li XY, Wang SA, et al. Nervonic acid and its sphingolipids: Biological functions and potential food applications. Crit Rev Food Sci Nutr. 2024; 64(24): 8766-8785. doi: 10.1080/10408398.2023.2203753
29. Wang X, Li Z, Li X, Liu X, Ying M, Cao F, et al. Integrated metabolomics and transcriptomics reveal the neuroprotective effect of nervonic acid on LPS-induced AD model mice. Biochem Pharmacol. 2023; 209: 115411. doi: 10.1016/j.bcp.2023.115411
30. Pickens CA, Matsuo KH, Fenton JI. Relationship between Body Mass Index, C-Peptide, and Delta-5-Desaturase Enzyme Activity Estimates in Adult Males. PLoS One. 2016; 11(3): e0149305. doi: 10.1371/journal.pone.0149305
Review
For citations:
Esimova I.E., Voronkova O.V., Samoilova I.G., Podchinenova D.V. Assessment of the parameters of the fatty acid spectrum of blood serum in relation to hormonal status in obese adolescents. Acta Biomedica Scientifica. 2025;10(5):155-166. (In Russ.) https://doi.org/10.29413/ABS.2025-10.5.18
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