骨钙素与1型和2型糖尿病患者的骨矿物质密度和VDR基因多态性相关

IF 1.1 Q4 MEDICAL LABORATORY TECHNOLOGY
Carla Ramírez Ruiz, Nerea Varo Cenarruzabeitia, Miriam Martínez Villanueva, Antonio M. Hernández Martínez, José Antonio Noguera Velasco
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引用次数: 0

摘要

【摘要】目的糖尿病(DM)患者骨代谢受损。我们的目的是评估骨转换标志物(BTM)和维生素D受体(VDR)基因多态性与1型糖尿病(T1D)和2型糖尿病(T2D)骨密度(BMD)的关系。方法165例T1D患者53例,T2D患者112例。采用双能x线骨密度仪(DEXA)测定骨密度。检测血浆骨钙素(OC)、β-交叉膜(β-CTX)、I型胶原N -氨基末端前肽(P1NP)和VDR基因多态性。结果T1D 53例(41岁[31-48]),T2D 112例(60岁[51-66])。两组间骨密度无统计学差异。T1D患者的OC (p<0.001)和P1NP水平(p<0.001)较高。T1D OC预测骨病理曲线下面积为0.732 (p=0.038), T2D OC预测骨病理曲线下面积为0.697 (p=0.007)。下腰椎骨密度与BsmI的A等位基因(p=0.03)、ApaI的A等位基因(p=0.04)和Taql的C等位基因(p=0.046)存在显著相关性。此外,高OC水平与BsmI的G等位基因(p=0.044)、ApaI的C等位基因(p=0.011)、Taql的T等位基因(p=0.006)和FokI的C等位基因(p=0.004)存在显著相关。结论:骨性骨质疏松的截断点具有较高的阴性预测值,这可能有助于排除骨质流失的风险,从而提供个性化的临床方法来预防这种病理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Osteocalcin associates with bone mineral density and VDR gene polymorphisms in type 1 and type 2 diabetes
Abstract Objectives Bone metabolism is impaired in diabetes mellitus (DM). Our objective is to evaluate the association of bone turnover markers (BTM) and vitamin D receptor ( VDR ) gene polymorphisms with bone mineral density (BMD) in DM type 1 (T1D) and DM type 2 (T2D). Methods 165 patients (53 T1D and 112 T2D) were enrolled. BMD was measured by dual-energy X-ray absorptiometry (DEXA). Plasma osteocalcin (OC), beta-CrossLaps (β-CTX) and N‐amino terminal propeptide of type I collagen (P1NP) and VDR gene polymorphisms were evaluated. Results Participants were 53 T1D (41 years [31–48]) and 112 T2D (60 years [51–66]). BMD were not statistically different between the groups. OC (p<0.001) and P1NP levels (p<0.001) were higher in patients with T1D. The areas under the curve for the prediction of bone pathology were 0.732 (p=0.038) for OC in T1D and 0.697 (p=0.007) in T2D. A significant association was found between lower lumbar BMD and the A allele of BsmI (p=0.03), the A allele of ApaI (p=0.04) and the allele C of the Taql (p=0.046). Also, a significant correlation was found with higher OC levels and the G allele of BsmI (p=0.044), C allele of ApaI (p=0.011), T allele of Taql (p=0.006) and with C allele of FokI (p=0.004). Conclusions The high negative predictive value of the cut-off point for OC suggests that could be useful in excluding the risk suffering bone loss, allowing offering a personalized clinical approach to prevent this pathology.
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