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Exploring novel paths towards protein signatures of chronic pain

机译:探索实现慢性疼痛蛋白质特征的新途径

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摘要

Pain is a major symptom of many medical conditions and the worldwide number one reason for people to seek medical assistance. It affects the quality of life of patients and poses a heavy financial burden on society with high costs of treatment and lost productivity. Furthermore, the treatment of chronic pain presents a big challenge as pain therapeutics often lack efficacy and exhibit minimal safety profiles. The latter can be largely attributed to the fact that current therapies target molecules with key physiological functions throughout the body. In light of these difficulties, the identification of proteins specifically involved in chronic pain states is of paramount importance for designing selective interventions. Several profiling efforts have been employed with the aim to dissect the molecular underpinnings of chronic pain, both on the level of the transcriptome and proteome. However, generated results are often inconsistent and non-overlapping, which is largely due to inherent technical constraints. A potential solution may be offered by emerging strategies capable of performing standardized and reproducible proteome analysis, such as data-independent acquisition-mass spectrometry (DIA-MS). We have recently demonstrated the applicability of DIA-MS to interrogate chronic pain-related proteome alterations in mice. Based on our results, we aim to provide an overview on DIA-MS and its potential to contribute to the comprehensive characterization of molecular signatures underlying pain pathologies.
机译:疼痛是许多医疗状况的主要症状,也是人们寻求医疗救助的全球第一原因。它会影响患者的生活质量,给社会造成沉重的经济负担,并带来高昂的治疗费用和生产力损失。此外,由于疼痛疗法通常缺乏功效并且显示出最小的安全性,因此慢性疼痛的疗法提出了巨大的挑战。后者在很大程度上可以归因于这样的事实,即当前的治疗方法靶向整个人体具有关键生理功能的分子。鉴于这些困难,鉴定与慢性疼痛状态特别相关的蛋白质对于设计选择性干预至关重要。为了在转录组和蛋白质组水平上剖析慢性疼痛的分子基础,已经进行了数项剖析工作。但是,生成的结果通常不一致且不重叠,这在很大程度上是由于固有的技术限制所致。新兴的能够执行标准化和可重现的蛋白质组分析的策略可能会提供潜在的解决方案,例如与数据无关的采集质谱(DIA-MS)。最近,我们已经证明DIA-MS可用于研究小鼠中与疼痛有关的慢性蛋白质组改变。根据我们的研究结果,我们旨在概述DIA-MS及其对潜在疼痛病理分子特征的全面表征做出贡献的潜力。

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