Quantifying proteins in plasma to democratize personalized medicine for patients with type 1 diabetes

量化血浆中的蛋白质以使 1 型糖尿病患者的个性化医疗民主化

• 批准号: 10396811
• 负责人: ANDREW N HOOFNAGLE
• 金额: $ 27.49万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-01 至 2022-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10396811
• 关键词: Acute; Affect; Affinity; Algorithms; Amputation; Antibodies; Antibody Specificity; Autoimmune Diseases; Award; Biological Assay; Biological Markers; Blindness; Blood; Blood Glucose; Blood Tests; C-Peptide; COVID-19 pandemic; Clinical; Clinical Trials; Companions; Data; Detection; Development; Diabetes Mellitus; Disease; Emotional; Enteroglucagon; Equilibrium; Event; Financial Hardship; Flowers; Frustration; Funding; Future; Glucagon; Glucose; Glycosylated hemoglobin A; Goals; Grant; Hybridomas; Hyperglycemia; Hypoglycemia; Immunoassay; Incidence; Injectable; Institution; Insulin; Insulin-Dependent Diabetes Mellitus; Iowa; Kidney Diseases; Laboratories; Lead; Life; Liquid Chromatography; Long-Term Effects; Manufacturer Name; Mass Spectrum Analysis; Measurement; Methods; Myocardial Infarction; National Institute of Diabetes and Digestive and Kidney Diseases; Non-Insulin-Dependent Diabetes Mellitus; Obesity; Outcome; Pancreas; Patient Care; Patients; Peptides; Periodicity; Plasma; Procedures; Process; Proinsulin; Proteins; Proteomics; Reagent; Regimen; Reproducibility; Research; Research Personnel; Risk; Signal Transduction; Somatostatin; Specificity; Structure of beta Cell of islet; Technology; Technology Transfer; Time; Translating; Translations; United States; Validation; Work; analog; base; burden of illness; cardiovascular disorder risk; clinical care; cohort; cost; effective therapy; experimental study; improved; interest; method development; novel; operation; personalized medicine; prevent; proglucagon; response; standard of care; stem; tandem mass spectrometry; technology validation; web site; website development

ABSTRACT Type 1 diabetes affects more than 1.25 million people in the United States and the annual incidence is increasing at an alarming rate of 3-4%. The emotional and financial burden of the disease is overwhelming and we currently have no way to predict or prevent new cases. As we gain a better understanding of the pathophysiological processes in the pancreas and the downstream effects of hyperglycemia (and periodic hypoglycemia during treatment), more robust biomarker assays are needed to improve the reproducibility of research findings and to translate those findings to clinical care. One technology that can provide robust, transferable assays for the measurement of proteins is liquid chromatography-tandem mass spectrometry. By directly detecting the analyte of interest, assays that use mass spectrometry detection can have better specificity than immunoassays and when paired with enrichment strategies, they can also be very sensitive. As we have demonstrated previously, it is straightforward to harmonize the results of mass spectrometric assays, which is significantly more difficult for immunoassays in general. This proposal aims to generate and validate novel transferable protein assays that harness the power of mass spectrometry. Whenever possible, assays will be multiplexed and if affinity reagents are required, they will be widely distributed through the Iowa Hybridoma Bank. Chromatographic data from method development (particularly peptide selection, which will use narrow-window data-independent acquisition rather than relying on algorithms or data-dependent acquisition methods) as well as chromatographic data from method validation will be distributed via Panorama, Chorus, and Passport, as will detailed standard operating procedures. As requested in RFA DK-17-019, five of the assays produced will target c-peptide, insulin, glucagon, glycated soluble CD59, and somatostatin/prosomatostain. Our Target Prioritization Committee will help identify the most important proteins to add to this list and focus our development efforts.

摘要 1型糖尿病在美国影响着超过125万人， 发病率正以惊人的3- 4%的速度增长。的情感和经济负担， 疾病是压倒性的，我们目前没有办法预测或预防新的病例。正如我们 更好地了解胰腺的病理生理过程， 高血糖的下游效应（以及治疗期间的周期性低血糖），更多 需要稳健的生物标志物测定来提高研究结果的再现性， 将这些发现转化为临床护理。一种技术，可以提供强大的，可转移的 用于测量蛋白质的测定法是液相色谱-串联质谱法。 通过直接检测感兴趣的分析物，使用质谱检测的测定可以 具有比免疫测定更好的特异性，当与富集策略配对时， 也可能非常敏感。正如我们之前所展示的， 协调质谱分析的结果，这对于 一般的免疫测定。该提案旨在生成和验证新的可转让 利用质谱分析的力量进行蛋白质分析。只要有可能， 如果需要亲和试剂，它们将通过爱荷华州广泛分布 混合银行方法开发的色谱数据（特别是肽 选择，这将使用窄窗口数据独立采集，而不是依赖于 算法或数据依赖的采集方法）以及来自 方法验证将通过Panorama、Chorus和Passport分发，详情如下 标准操作程序根据RFA DK-17-019的要求，生产的5种检测试剂盒 将靶向C肽、胰岛素、胰高血糖素、糖化可溶性CD 59， 生长抑素/前生长抑素。我们的目标优先顺序委员会将帮助确定最重要的 重要的蛋白质添加到这个列表中，并集中我们的发展努力。

项目成果

Multiplexed quantification of insulin and C-peptide by LC-MS/MS without the use of antibodies.

• DOI: 10.1016/j.jmsacl.2022.06.003
• 发表时间: 2022-08
• 期刊: JOURNAL OF MASS SPECTROMETRY AND ADVANCES IN THE CLINICAL LAB
• 影响因子: 2.2
• 作者: Foulon, North;Goonatilleke, Elisha;MacCoss, Michael J.;Emrick, Michelle A.;Hoofnagle, Andrew N.
• 通讯作者: Hoofnagle, Andrew N.