Association between ADIPOQ gene polymor-phisms and the risk of new-onset diabetes mel-litus after liver transplantation

BACKGROUND:New-onset diabetes after transplantation (NODAT) has become one of the major factors that affect the overall survival and long-term life quality in liver transplan-tation (LT) recipients. Previous studies found that the serum adiponectin concentration of diabetic patients is significantly...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:国际肝胆胰疾病杂志(英文版) 2017, Vol.16 (6), p.602-609
Hauptverfasser: Chao Cen, Hai-Xing Fang, Song-Feng Yu, Ji-Min Liu, Yuan-Xing Liu, Lin Zhou, Jun Yu, Shu-Sen Zheng
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:BACKGROUND:New-onset diabetes after transplantation (NODAT) has become one of the major factors that affect the overall survival and long-term life quality in liver transplan-tation (LT) recipients. Previous studies found that the serum adiponectin concentration of diabetic patients is significantly lower than that of healthy subjects. Adiponectin regulates the blood glucose level by increasing body sensitivityto insulin through various mechanisms. In this study, we aimed to in-vestigate the impact of diabetes related gene polymorphisms on the development of NODAT in liver recipients. METHODS: A total of 256 LT patients in a single-center were selected retrospectively for the study. Genomic DNA was extracted from explanted liver tissues, and tested for twelve diabetes mellitus associated single nucleotide polymorphisms by Sequenom MassARRAY. Modified clinical models in pre-dicting NODAT were established and evaluated.RESULTS: The GG genotype of ADIPOQ rs1501299 gene polymorphism was significantly more frequent in NODAT than non-NODAT LT patients (56% vs 39%,P=0.014). Dom-inant model (GG vs GT+TT,P=0.030) and recessive model (GT+GG vs TT,P=0.005) also confirmed the genotype distri-bution difference between NODAT and non-NODAT groups. Age (OR=1.048,P=0.004), BMI (OR=1.107,P=0.041), and blood tacrolimus level at 1-month LT (OR=1.170,P=0.003) were clinical independent risk factorsof NODAT. Furthermore, rs1501299 could improve the ability of clinical model in predict-ing NODAT (AUROC=0.743,P
ISSN:1499-3872
DOI:10.1016/S1499-3872(17)60069-9