von Düring Marit Elizabeth, Jenssen Trond, Bollerslev Jens, Åsberg Anders, Godang Kristin, Hartmann Anders
Section of Nephrology, Department of Transplantation Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Clin Transplant. 2017 Jan;31(1). doi: 10.1111/ctr.12869. Epub 2016 Dec 15.
Body composition after kidney transplantation is linked to glucose metabolism, and impaired glucose metabolism is associated with increased risk of cardiovascular events and death. One year after transplantation, we examined 150 patients for post-transplant diabetes performing oral glucose tolerance tests and body composition measurements including visceral adipose tissue (VAT) content from dual-energy X-ray absorptiometry scans. We found that glucose metabolism was generally improved over the first year post-transplant, and that the levels of VAT and percentage VAT of total body fat mass (VAT ) were lowest in those with normal glucose tolerance and highest in those with post-transplant diabetes mellitus. In a multivariable linear regression analysis, 87.4% of the variability in fasting glucose concentration was explained by insulin resistance (P<.001, HOMA-IR index), beta cell function (P<.001, HOMA-beta), VAT (P=.007), and body mass index (BMI; P=.015; total model P<.001), while insulin resistance (P<.001) and beta cell function (P<.001) explained 31.9% of the variability in 2-hour glucose concentration in a multivariable model (total model P<.001). VAT was associated with glucose metabolism to a larger degree than BMI. In conclusion, VAT is associated with hyperglycemia one year after kidney transplantation, and insulin resistance and beta cell function estimates are the most robust markers of glucose metabolism.
肾移植后的身体组成与葡萄糖代谢相关,而葡萄糖代谢受损与心血管事件及死亡风险增加有关。移植后一年,我们对150名患者进行了口服葡萄糖耐量试验及身体组成测量(包括通过双能X线吸收测定扫描得出的内脏脂肪组织(VAT)含量),以检查移植后糖尿病情况。我们发现,移植后的第一年葡萄糖代谢总体有所改善,且葡萄糖耐量正常者的VAT水平及VAT占全身脂肪量的百分比最低,移植后糖尿病患者的则最高。在多变量线性回归分析中,空腹血糖浓度变异性的87.4%可由胰岛素抵抗(P<0.001,HOMA-IR指数)、β细胞功能(P<0.001,HOMA-β)、VAT(P=0.007)及体重指数(BMI;P=0.015;总模型P<0.001)解释,而在多变量模型中,胰岛素抵抗(P<0.001)和β细胞功能(P<0.001)解释了2小时血糖浓度变异性的31.9%(总模型P<0.001)。VAT与葡萄糖代谢的关联程度大于BMI。总之,肾移植后一年,VAT与高血糖有关,胰岛素抵抗和β细胞功能评估是葡萄糖代谢最可靠的标志物。