Suppr超能文献

迈向实时监测代谢紊乱的多重和多模式生物传感器平台。

Towards Multiplexed and Multimodal Biosensor Platforms in Real-Time Monitoring of Metabolic Disorders.

机构信息

Department of Biomedical Engineering, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA 92697, USA.

Department of Electrical Engineering and Computer Science, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA 92697, USA.

出版信息

Sensors (Basel). 2022 Jul 12;22(14):5200. doi: 10.3390/s22145200.

Abstract

Metabolic syndrome (MS) is a cluster of conditions that increases the probability of heart disease, stroke, and diabetes, and is very common worldwide. While the exact cause of MS has yet to be understood, there is evidence indicating the relationship between MS and the dysregulation of the immune system. The resultant biomarkers that are expressed in the process are gaining relevance in the early detection of related MS. However, sensing only a single analyte has its limitations because one analyte can be involved with various conditions. Thus, for MS, which generally results from the co-existence of multiple complications, a multi-analyte sensing platform is necessary for precise diagnosis. In this review, we summarize various types of biomarkers related to MS and the non-invasively accessible biofluids that are available for sensing. Then two types of widely used sensing platform, the electrochemical and optical, are discussed in terms of multimodal biosensing, figure-of-merit (FOM), sensitivity, and specificity for early diagnosis of MS. This provides a thorough insight into the current status of the available platforms and how the electrochemical and optical modalities can complement each other for a more reliable sensing platform for MS.

摘要

代谢综合征(MS)是一组增加心脏病、中风和糖尿病发病概率的病症,在全球范围内非常普遍。虽然 MS 的确切病因尚未被理解,但有证据表明 MS 与免疫系统失调之间存在关联。在这一过程中表达的相关生物标志物在相关 MS 的早期检测中具有重要意义。然而,仅检测单一分析物存在其局限性,因为一种分析物可能涉及多种病症。因此,对于通常由多种并发症共同存在引起的 MS,需要一种多分析物传感平台来进行精确诊断。在这篇综述中,我们总结了与 MS 相关的各种类型的生物标志物,以及可用于检测的非侵入性可及生物流体。然后,我们从多模态生物传感、性能指标(FOM)、灵敏度和特异性等方面讨论了两种广泛使用的传感平台,即电化学和光学,以了解 MS 早期诊断的多模态生物传感平台的现状。这为现有的平台提供了全面的了解,以及电化学和光学模式如何相互补充,以实现更可靠的 MS 传感平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e38b/9323394/f07723795842/sensors-22-05200-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验