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"Predicting diabetic kidney disease in youth with type 1 diabetes: Insights from genetic risk assessment".
Evin, Ferda; Kirkgöz, Tarik; Atik, Tahir; Ak, Günes; Köse, Timur; Kabasakal, Caner; Özkan, Behzat; Özen, Samim; Darcan, Sükran; Göksen, Damla.
Afiliación
  • Evin F; Division of Pediatric Endocrinology, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey. Electronic address: ferdaevin88@gmail.com.
  • Kirkgöz T; Division of Pediatric Endocrinology, Department of Pediatrics, Dr. Behçet Uz Children's Education and Research Hospital, Izmir, Turkey.
  • Atik T; Division of Pediatric Genetics, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey.
  • Ak G; Department of Biochemistry, School of Medicine, Ege University, Izmir, Turkey.
  • Köse T; Department of Biostatistics and Medical Informatics, School of Medicine, Ege University, Izmir, Turkey.
  • Kabasakal C; Division of Pediatric Nephrology, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey.
  • Özkan B; Division of Pediatric Endocrinology, Department of Pediatrics, Dr. Behçet Uz Children's Education and Research Hospital, Izmir, Turkey.
  • Özen S; Division of Pediatric Endocrinology, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey.
  • Darcan S; Division of Pediatric Endocrinology, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey.
  • Göksen D; Division of Pediatric Endocrinology, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey.
J Diabetes Complications ; 38(11): 108833, 2024 Aug 13.
Article en En | MEDLINE | ID: mdl-39293150
ABSTRACT

OBJECTIVE:

Diabetic kidney disease (DKD) is influenced by multiple factors, yet its precise progression mechanisms remain largely unclear. This study aimed to create a clinical risk-scoring system based on genetic polymorphisms in the AFF3, CARS, CERS2, ERBB4, GLRA3, RAET1L, TMPO, and ZMIZ1 genes.

METHODS:

The study included a DKD group diagnosed with diabetic kidney disease before age 18 and a WDC group matched by age, gender, and age at diabetes diagnosis. Genetic data and clinical data from diabetes diagnosis to moderately increased albuminuria (MIA) detection were compared between the groups.

RESULTS:

Among 43 DKD cases, 22 were girls and 21 were boys. At MIA diagnosis, mean body weight SDS was -0.24 ± 0.94, height SDS was 0.34 ± 1.15, and BMI SDS was -0.26 ± 0.94. Systolic blood pressure was at the 72nd percentile (2-99), and diastolic blood pressure was at the 74th percentile (33-99). Significant differences in rs267734, rs267738, and rs942263 polymorphisms were found between DKD and non-complication diabetic groups (13[30.2 %] vs 5[11.6 %], p = 0.034; 14[32.6 %] vs 5[11.6 %], p = 0.019; 26[60.5 %] vs 40[93 %], p < 0.001).

CONCLUSION:

Several factors were identified as significant in DKD onset, including low follow-up weight SDS, elevated diastolic blood pressure, presence of rs267734, and absence of rs942263 polymorphisms. The model demonstrated a specificity of 81.4 % and a sensitivity of 74.4 %.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Diabetes Complications Asunto de la revista: ENDOCRINOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Diabetes Complications Asunto de la revista: ENDOCRINOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos