Department of Chemistry and Biochemistry, Florida State University, 95 Chieftain Way, Tallahassee, FL, 32306, USA.
Program in Molecular Biophysics, Florida State University, 95 Chieftain Way, Tallahassee, FL, 32306, USA.
Anal Bioanal Chem. 2023 Sep;415(23):5671-5680. doi: 10.1007/s00216-023-04837-x. Epub 2023 Jul 14.
Islets of Langerhans release peptide hormones in controlled amounts and patterns to ensure proper maintenance of blood glucose levels. The overall release of the hormones is shaped by external factors and by autocrine and paracrine interactions occurring within the islets. To better understand what controls the secretion of islet-secreted peptides, and how these processes go awry in diabetes, methods to monitor the release of multiple hormones simultaneously are needed. While antibody-based assays are typically used, they are most often applied to quantification of a single hormone. Mass spectrometry (MS), on the other hand, is well suited for quantifying multiple hormones simultaneously but typically requires time-consuming separation steps with biological samples. In this report, response surface methodology was used to identify a set of optimal solid-phase extraction (SPE) conditions for the islet-secreted peptides, insulin, C-peptide, glucagon, and somatostatin. The optimized SPE method was used with multiple reaction monitoring and isotopically labeled standards to quantify secretion levels. Calibrations were linear from 0.5 to 50 nM with < 15% RSD peak area ratios. A microfluidic system was used to perfuse 30 human islets with different glucose conditions, and fractions were collected every 2 min for SPE-MS analysis. Results showed the release dynamics of the individual peptides, as well as patterns, such as positively and negatively correlated release and oscillations. This rapid SPE-MS method is expected to be useful for examining other peptide and small-molecule secretions from islets and could be applied to a number of other biological systems for investigating cellular communication.
胰岛以受控的量和模式释放肽类激素,以确保血糖水平的适当维持。激素的整体释放受到外部因素以及胰岛内发生的自分泌和旁分泌相互作用的影响。为了更好地了解什么控制着胰岛分泌肽的分泌,以及这些过程在糖尿病中是如何出错的,需要有方法来同时监测多种激素的释放。虽然通常使用基于抗体的测定法,但它们最常用于单个激素的定量。另一方面,质谱 (MS) 非常适合同时定量多种激素,但通常需要对生物样本进行耗时的分离步骤。在本报告中,响应面法用于确定一组优化的固相萃取 (SPE) 条件,用于胰岛分泌的肽、胰岛素、C 肽、胰高血糖素和生长抑素。优化的 SPE 方法与多重反应监测和同位素标记标准品一起用于定量分泌水平。校准从 0.5 到 50 nM 呈线性,峰面积比的 RSD 小于 15%。使用微流控系统以不同的葡萄糖条件灌流 30 个人胰岛,并每隔 2 分钟收集一个用于 SPE-MS 分析的馏分。结果显示了各个肽的释放动力学,以及正相关和负相关释放以及振荡等模式。这种快速的 SPE-MS 方法有望用于研究来自胰岛的其他肽和小分子分泌,并且可以应用于许多其他生物系统,以研究细胞通讯。