Division of Diagnostic Services, Department of Laboratory Medicine, University Hospital of North Norway, Tromsø, Norway.
Department of Medical Biology, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway.
Endocrinol Diabetes Metab. 2022 Mar;5(2):e00325. doi: 10.1002/edm2.325. Epub 2022 Feb 11.
Identification of individuals at high risk of developing type 2 diabetes mellitus (T2DM) is important for early prevention of the disease. Once T2DM is established, it is difficult to treat and is associated with cardiovascular complications and increased mortality. We aimed to describe pre- and post-diagnostic changes in blood biomarker concentrations over 30 years in individuals with and without T2DM, and to determine the predictive potential of pre-diagnostic blood biomarkers.
This nested case-control study included 234 participants in the Tromsø Study who gave blood samples at five time points between 1986 and 2016: 130 did not develop T2DM and were used as controls; 104 developed T2DM after the third time point and were included as cases. After stratifying by sex, we investigated changes in pre- and post-diagnostic concentrations of lipids, thyroid hormones, HbA , glucose and gamma-glutamyltransferase (GGT) using linear mixed models. We used logistic regression models and area under the receiver operating characteristic curve (AROC) to assess associations between blood biomarker concentrations and T2DM, as well as the predictive ability of blood biomarkers.
Cases and controls experienced different longitudinal changes in lipids, free T , HbA , glucose, and GGT. The combination of selected blood biomarker concentrations and basic clinical information displayed excellent (AROC 0.78-0.95) predictive ability at all pre-diagnostic time points. A prediction model that included HDL (for women), HbA , GGT, and basic clinical information demonstrated the strongest discrimination 7 years before diagnosis (AROC 0.95 for women, 0.85 for men).
There were clear differences in blood biomarker concentrations between cases and controls throughout the study, and several blood biomarkers were associated with T2DM. Selected blood biomarkers (lipids, HbA , GGT) in combination with BMI, physical activity, elevated blood pressure, and family history of T2DM had excellent predictive ability 1-7 years before T2DM diagnosis and acceptable predictive ability up to 15 years before diagnosis.
识别易患 2 型糖尿病(T2DM)的个体对于疾病的早期预防非常重要。一旦 T2DM 确立,治疗就很困难,并且与心血管并发症和死亡率增加有关。我们旨在描述在患有和不患有 T2DM 的个体中,30 年来血液生物标志物浓度在诊断前和诊断后的变化,并确定诊断前血液生物标志物的预测潜力。
这项巢式病例对照研究纳入了 1986 年至 2016 年期间在特罗姆瑟研究中接受了 5 次血液样本采集的 234 名参与者:其中 130 名参与者未患 T2DM,被用作对照组;104 名参与者在第三次采集样本后患上了 T2DM,被纳入病例组。按性别分层后,我们使用线性混合模型研究了脂质、甲状腺激素、HbA 、葡萄糖和γ-谷氨酰转移酶(GGT)在诊断前和诊断后的浓度变化。我们使用逻辑回归模型和接收者操作特征曲线下的面积(AROC)来评估血液生物标志物浓度与 T2DM 之间的关联,以及血液生物标志物的预测能力。
病例组和对照组在脂质、游离 T 、HbA 、葡萄糖和 GGT 方面经历了不同的纵向变化。在所有诊断前的时间点,选择的血液生物标志物浓度和基本临床信息的组合都具有出色的预测能力(AROC 为 0.78-0.95)。一个包含高密度脂蛋白(女性)、HbA 、GGT 和基本临床信息的预测模型在诊断前 7 年表现出最强的区分能力(女性的 AROC 为 0.95,男性为 0.85)。
在整个研究过程中,病例组和对照组之间的血液生物标志物浓度存在明显差异,并且一些血液生物标志物与 T2DM 相关。选择的血液生物标志物(脂质、HbA 、GGT)与 BMI、体力活动、血压升高和 T2DM 的家族史相结合,在 T2DM 诊断前 1-7 年具有出色的预测能力,在诊断前 15 年具有可接受的预测能力。