Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, United States; ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, United States.
Clin Biochem. 2021 Jan;87:85-92. doi: 10.1016/j.clinbiochem.2020.10.014. Epub 2020 Nov 5.
Measurement of lipoprotein subclass concentration (-c), particle number (-p), and size (-s) by nuclear magnetic resonance (NMR) has gained traction in the clinical laboratory due to associations between smaller lipid particle sizes and atherogenic risk, especially for LDL-p. The standard protocols for lipoprotein measurements by NMR require fasting blood samples; however, patients may not fast properly before sample collection. The study objective was to evaluate the impact of fasting status on the NMR-based lipid profile and to identify key parameters differentiating between fasting and post-meal specimens.
Forty-eight self-reported healthy male and female participants were recruited. Blood was collected after a 12 h fast and 4 h after a high fat meal. Samples were analyzed using the AXINON LipoFIT by NMR assay. The measurements included triglyceride, total cholesterol, IDL-c, and LDL, HDL, VLDL concentration, particle number, and size, as well as glucose, and four amino acids (alanine, valine, leucine and isoleucine).
As expected, triglycerides increased after the meal (58%, p < 0.0001). Significant changes were also observed for VLDL, LDL, and HDL parameters, and the branched chain amino acids. The ratio of ValineVLDL-c/LDL-c or IsoleucineVLDL-c/LDL-c provided equally effective differentiation of fasting and post-meal samples. The ratio cutoffs (79.1 and 23.6 when calculated using valine and isoleucine, respectively) had sensitivities of 86% and specificities of 93-95%.
The clinical impact on NMR results from post-meal samples warrants further evaluation. Algorithms to differentiate fasting and post-meal specimens may be useful in identifying suboptimal specimens.
由于较小的脂质颗粒大小与动脉粥样硬化风险之间存在关联,尤其是对于 LDL-p,因此通过核磁共振(NMR)测量脂蛋白亚类浓度(-c)、颗粒数(-p)和大小(-s)在临床实验室中得到了重视。基于 NMR 的脂蛋白测量的标准协议要求禁食血样;然而,患者在采集样本前可能无法正确禁食。研究目的是评估禁食状态对基于 NMR 的血脂谱的影响,并确定区分空腹和餐后标本的关键参数。
招募了 48 名自我报告的健康男性和女性参与者。在禁食 12 小时后和高脂餐后 4 小时采集血液。使用 AXINON LipoFIT 进行 NMR 分析。测量包括甘油三酯、总胆固醇、IDL-c 和 LDL、HDL、VLDL 浓度、颗粒数和大小,以及葡萄糖和四种氨基酸(丙氨酸、缬氨酸、亮氨酸和异亮氨酸)。
正如预期的那样,餐后甘油三酯增加(58%,p<0.0001)。VLDL、LDL 和 HDL 参数以及支链氨基酸也发生了显著变化。ValineVLDL-c/LDL-c 或 IsoleucineVLDL-c/LDL-c 的比值同样有效地区分了空腹和餐后样本。使用缬氨酸和异亮氨酸计算时,比值的截断值(分别为 79.1 和 23.6)的敏感性为 86%,特异性为 93-95%。
餐后样本对 NMR 结果的临床影响值得进一步评估。区分空腹和餐后标本的算法可能有助于识别不充分的标本。