Cargando…

IGF1 and PPARG polymorphisms are associated with reduced estimated glomerular filtration rate in a cohort of children and adolescents with type 1 diabetes

INTRODUCTION: Several genetic loci have been associated with diabetic nephropathy; however, the underlying genetic mechanisms are still poorly understood, with no robust candidate genes identified yet. AIM: We aimed to determine whether two polymorphisms, previously associated with renal decline, in...

Descripción completa

Detalles Bibliográficos
Autores principales: Zusi, Chiara, Rioda, Marco, Maguolo, Alice, Emiliani, Federica, Unali, Ilaria, Costantini, Silvia, Corradi, Massimiliano, Contreas, Giovanna, Morandi, Anita, Maffeis, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442246/
https://www.ncbi.nlm.nih.gov/pubmed/37338602
http://dx.doi.org/10.1007/s00592-023-02128-6
Descripción
Sumario:INTRODUCTION: Several genetic loci have been associated with diabetic nephropathy; however, the underlying genetic mechanisms are still poorly understood, with no robust candidate genes identified yet. AIM: We aimed to determine whether two polymorphisms, previously associated with renal decline, influence kidney impairment evaluating their association with markers of renal function in a pediatric population with type 1 diabetes (T1D). MATERIAL AND METHODS: Renal function was evaluated by glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR) in a cohort of pediatric subjects with T1D (n = 278). Risk factors for diabetes complications (diabetes duration, blood pressure, HbA1c) were assessed. The IGF1 rs35767 and PPARG rs1801282 SNPs were genotyped by TaqMan RT-PCR system. An additive genetic interaction was calculated. Association analysis between markers of renal function and both SNPs or their additive interaction were performed. RESULTS: Both SNPs showed a significant association with eGFR: the A allele of rs35767 or the C allele of rs1801282 were associated to reduced eGFR compared to G alleles. Multivariate regression analysis adjusted for age, sex, z-BMI, T1D duration, blood pressure and Hba1c values showed that the additive genetic interaction was independently associated with lower eGFR (β = −3.59 [−6.52 to −0.66], p = 0.017). No associations were detected between SNPs, their additive interaction and ACR. CONCLUSIONS: These results provide new insight into the genetic predisposition to renal dysfunction, showing that two polymorphisms in IGF1 and PPARG genes can lead to a reduction in renal filtration rate leading these patients to be exposed to a higher risk of early renal complications.