Clinical and Metabolic Profile and Cognitive Functions in Children and Adolescents with Carbohydrate Metabolism Disorders Depending on Body Weight
- Authors: Samoylova Y.G.1, Matveeva M.V.1, Filippova T.A.1, Podchinenova D.V.1, Yun V.E.1, Galyukova D.E.1, Koshmeleva M.V.1
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Affiliations:
- Siberian State Medical University
- Issue: Vol 33, No 2 (2025)
- Pages: 221-230
- Section: Original study
- URL: https://journals.rcsi.science/pavlovj/article/view/313110
- DOI: https://doi.org/10.17816/PAVLOVJ611176
- EDN: https://elibrary.ru/BKLSOX
- ID: 313110
Cite item
Abstract
INTRODUCTION: Hyperglycemia causes glucotoxicity of neurons via different mechanisms, and, in combination with obesity, is a strong predictor of cognitive dysfunction. Free fatty acids and circulating cytokines cross the blood-brain barrier leading to neuroinflammation and proliferation of microglia. These alterations can be detected using neuroimaging methods. Thus, evaluation of cognitive functions and glycemic profile seems relevant in children with disorders of carbohydrate metabolism and different weights.
AIM: To analyze clinical and metabolic profile and cognitive functions in children and adolescents with carbohydrate metabolism disorders depending on body weight.
MATERIALS AND METHODS: A prospective, open, controlled study was conducted in 2022–2023. The study included 53 children aged from 7 to 18 years with carbohydrate metabolism disorders with duration of the disease of 1 to 7 years: group 1 — children with excessive body weight or obesity (n=33) and group 2 (n=20) — children with normal body weight. The work included evaluation of anthropometric parameters, carbohydrate metabolism disorders (glycemia and its variability, determination of glycated hemoglobin, immunoreactive insulin, and C-peptide), lipid spectrum, verification of non-alcoholic fatty liver disease, and testing using children’s version of Wechsler questionnaire.
RESULTS: Children with carbohydrate metabolism disorders and overweight or obesity more often had relatives with overweight (p=0.04), or diabetes mellitus (p=0.03) and were more often diagnosed with lipidemia (p=0.048) and fatty hepatosis (p=0.031). Children with carbohydrate metabolism disorders, both normal and overweight, showed statistically significant differences in the immunoreactive insulin index: among boys (p=0.030, p=0.001) and girls (р=0.020, р=0.002). Glycemia before bedtime and the time of glycemia above the target range were higher in overweight children (p=0.029, p=0.002). In Wechsler test, children with overweight or obesity and normal body weight children differed in the following parameters: vocabulary (speech function), letter-digit test, Kohs Block Design Test (constructional-spatial praxis; p=0.043, p=0.008 and p=0.005 respectively).
CONCLUSIONS: Children with carbohydrate metabolism disorders in combination with excessive body weight and obesity are characterized by impairment of some cognitive functions associated with asymptomatic glycemic variability.
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##article.viewOnOriginalSite##About the authors
Yuliya G. Samoylova
Siberian State Medical University
Email: samoilova_y@inbox.ru
ORCID iD: 0000-0002-2667-4842
SPIN-code: 8644-8043
MD, Dr. Sci. (Medicine), Professor
Russian Federation, TomskMariya V. Matveeva
Siberian State Medical University
Email: matveeva.mariia@yandex.ru
ORCID iD: 0000-0001-9966-6686
SPIN-code: 3913-5419
MD, Dr. Sci. (Medicine), Assistant Professor
Russian Federation, TomskTatyana A. Filippova
Siberian State Medical University
Email: fta82@mail.ru
ORCID iD: 0000-0001-6423-7187
SPIN-code: 1184-0718
MD, Cand. Sci. (Medicine), Assistant Professor
Russian Federation, TomskDarya V. Podchinenova
Siberian State Medical University
Email: darvas_42@mail.ru
ORCID iD: 0000-0001-6212-4568
SPIN-code: 2268-7378
MD, Cand. Sci. (Medicine), Assistant Professor
Russian Federation, TomskVera E. Yun
Siberian State Medical University
Email: verayun05@mail.com
ORCID iD: 0000-0002-9127-8619
SPIN-code: 7774-7778
Russian Federation, Tomsk
Darya E. Galyukova
Siberian State Medical University
Author for correspondence.
Email: darya.galyukova@yandex.ru
ORCID iD: 0000-0003-2660-469X
SPIN-code: 1696-9527
Russian Federation, Tomsk
Marina V. Koshmeleva
Siberian State Medical University
Email: mvbulavko@mail.ru
ORCID iD: 0000-0001-8142-1226
SPIN-code: 6961-1022
MD, Cand. Sci. (Medicine), Assistant Professor
Russian Federation, TomskReferences
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