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临床实践中的代谢组学:改善诊断和提供管理信息。

Metabolomics in Clinical Practice: Improving Diagnosis and Informing Management.

机构信息

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX.

Baylor Genetics Laboratory, Houston, TX.

出版信息

Clin Chem. 2021 Nov 26;67(12):1606-1617. doi: 10.1093/clinchem/hvab184.

Abstract

BACKGROUND

Metabolomics is the study of small molecules to simultaneously identify multiple low molecular weight molecules in a system. Broadly speaking, metabolomics can be subdivided into targeted and untargeted types of analysis, each type having advantages and drawbacks. Targeted metabolomics can quantify analytes but only looks for known or expected analytes related to particular disease(s), whereas untargeted metabolomics is typically nonquantitative but can detect thousands of analytes from an agnostic or nonhypothesis driven perspective, allowing for novel discoveries.

CONTENT

One application of metabolomics is the study of inborn errors of metabolism (IEM). The biochemical hallmark of IEMs is decreased concentrations of analytes distal to the enzymatic defect and buildup of analytes proximal to the defect. Metabolomics can detect these changes with one test and is effective in screening for and diagnosis of IEMs. Metabolomics has also been used to study many nonmetabolic diseases such as autism spectrum disorder, various cancers, and multiple congenital anomalies syndromes. Metabolomics has led to the discovery of many novel biomarkers of disease. Recent publications demonstrate how metabolomics can be useful clinically in the diagnosis and management of patients, as well as for research and clinical discovery.

SUMMARY

Metabolomics has proved to be a useful tool clinically for screening and diagnostic purposes and from a research perspective for the detection of novel biomarkers. In the future, metabolomics will likely become a routine part of the evaluation for many diseases as either a supplementary test or it may simply replace historical analyses that require several individual tests and sample types.

摘要

背景

代谢组学是研究小分子的科学,旨在同时鉴定系统中多种低分子量分子。广义上讲,代谢组学可分为靶向和非靶向分析类型,每种类型都有其优缺点。靶向代谢组学可以定量分析物,但只能寻找与特定疾病相关的已知或预期的分析物,而非靶向代谢组学通常是非定量的,但可以从非假设驱动的角度检测数千种分析物,从而发现新的分析物。

内容

代谢组学的一个应用是研究先天性代谢缺陷(IEM)。IEM 的生化特征是酶缺陷远端的分析物浓度降低,缺陷近端的分析物堆积。代谢组学可以通过一次测试检测到这些变化,并且在 IEM 的筛查和诊断方面非常有效。代谢组学也已用于研究许多非代谢疾病,如自闭症谱系障碍、各种癌症和多种先天性异常综合征。代谢组学已经发现了许多疾病的新型生物标志物。最近的出版物展示了代谢组学如何在临床诊断和管理患者、研究和临床发现方面具有临床应用价值。

总结

代谢组学已被证明是一种用于筛查和诊断目的的有用临床工具,从研究角度来看,它也是用于检测新型生物标志物的有用工具。在未来,代谢组学可能会成为许多疾病评估的常规部分,无论是作为补充测试,还是可能简单地取代需要多个单独测试和样本类型的历史分析。

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