Abstract

So far, the possible influence of single nucleotide variants (SNV) of the cholecystokinin (CCK) gene on the likelihood of developing obesity and metabolic disorders in children has not been demonstrated. The aim of the study SNV associations of the CSK gene to predict the probability of obesity and personalize the development trajectory of various metabolic disorders associated with obesity in children. Materials and methods. 252 obese children aged 6-18 years were examined. The main group (n=152) was represented by children with metabolically unhealthy obesity (MUO). The control group (n=100) consolidated of children with metabolically healthy obesity (MHO). Whole genome sequencing (CeGat, Germany) was performed in 31 children of the main and 21 children of the control group. Serum levels of interleukin-1β were measured using a chemiluminescent immunoassay (CLIA) method, interleukin-6 - by enzyme-linked immunosorbent assay (ELISA), Synevo, Ukraine. Results. The G allele of SNV rs754635 of the CCK gene was significantly more frequent among children with both MHO (t=10.93; p<0.05) and MUO (t=12.96; p<0.05) compared to healthy individuals. The G allele of SNV rs754635 of the CCK gene was associated with basal hyperglycemia (r=0.44) and impaired carbohydrate tolerance (r=0.33) in the MHO phenotype and with the atherogenicity index of the lipid spectrum (r=0.40) and was inversely correlated with the level of high-density lipoproteins (HDL) (r=-0.58) in children with MUO phenotype, p<0.05. Conclusions. The G allele SNV rs754635 of the CCK gene is associated with obesity and the development of metabolic disorders. The research was carried out in accordance with the principles of the Declaration of Helsinki. The research protocol was approved by the Local Ethics Committee of the institution mentioned in the work. Informed consent of parents or their guardians was obtained for conducting research. No conflict of interests was declared by the author.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call