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Povzetek: Introduction: The purpose of this study was to evaluate lipid profile and kidney function in children and adolescents with Type 1 Diabetes. Methods: This was a retrospective study including 324 children and adolescents with Type 1 Diabetes (48% females, mean age 13.1 ± 3.2 years). For all participants, demographic and clinical information were collected. The prevalence of dyslipidemia and kidney function markers were analyzed according to age. Multivariate linear regression analyses were performed to test the association of lipids or markers of renal function with demographic and clinical information (sex, age, disease duration, BMI SDS, HbA1c). Results: In our study the rate of dyslipidemia reached 32% in children <11 years and 18.5% in those ≥11 years. Children <11 years presented significantly higher triglyceride values. While the albumin-to-creatinine ratio was normal in all individuals, 17% had mildly reduced estimated glomerular filtration rate. Median of HbA1c was the most important determinant of lipids and kidney function, being associated with Total Cholesterol (p-value<0.001); LDL Cholesterol (pvalue= 0.009), HDL Cholesterol (p-value=0.045) and eGFR (p-value=0.001). Conclusion: Dyslipidemia could be present both in children and adolescents, suggesting that screening for markers of diabetic complications should be performed regardless of age, pubertal stage, or disease duration, to optimize glycemia and medical nutrition therapy and/or to start a specific medical treatment.
Ključne besede: type 1 diabetes, diabetes care, lipids profile, kidney function, age, guidelines
Objavljeno v DiRROS: 01.09.2026; Ogledov: 145; Prenosov: 91
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Povzetek: Aims: This study evaluates the contribution of common variants in Maturity-Onset Diabetes of the Young (MODY) genes on type 1 diabetes (T1D), using a polygenic score (PGS) approach. Methods: 485 children and youth diagnosed with T1D from at least 1 year and 271 healthy controls (HC) were recruited. Personal information (i.e. age, sex, height, weight) were collected for each participant, and clinical information (i.e. age at diagnosis, disease duration, presence of autoantibodies and ketoacidosis at onset (DKA)) were also obtained for T1D subjects. Participants were genotyped using Illumina Infinium Global Screening Array. PGS based on Single Nucleotide Polymorphisms (SNPs) in 16 MODY genes were developed. The association of this PGS with T1D susceptibility and clinical disease characteristics was assessed by regression analysis. Results: A PGS including 335 SNPs in MODY genes discriminates T1D from HC (AUC = 60.1%, AIC = 787.6). This PGS was significantly higher in T1D compared to HC (p-value = 0.0004, pseudo-R2 = 2.85%). Moreover, regression analysis between PGS and T1D clinical characteristics showed higher PGS values in T1D subjects with zinc transporter 8 autoantibodies (ZnT8A) compared with T1D subjects without ZnT8A (p-value = 0.04). A similar trend was also observed for antibodies directed against glutamic acid decarboxylase (GADA), although the association did not reach statistical significance (p-value = 0.06). Conclusions: Our study suggests that a polygenic approach based on MODY genes may discriminate T1D from HC and may contribute to patient stratification, helping to better understand T1D heterogeneity.
Ključne besede: type 1 diabetes, MODY, polygenic score, autoantibody
Objavljeno v DiRROS: 09.12.2025; Ogledov: 857; Prenosov: 368
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