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目前通过呼出气生物标志物识别的病理学。

Pathologies currently identified by exhaled biomarkers.

机构信息

Unit of Sensory Physiology, Department of Neuroscience and Imaging, University of Chieti-Pescara G. d'Annunzio, Italy.

出版信息

Respir Physiol Neurobiol. 2013 Jun 1;187(1):128-34. doi: 10.1016/j.resp.2013.02.016. Epub 2013 Feb 26.

Abstract

Ancient Greek physicians already knew that the smell of human breath could provide a clue to the pathology. Nowadays, volatile breath biomarkers are known to be released in a broad range of diseases. However, their identification, isolation, and quantification as indicative of relevant alterations in clinical status have required the development of new techniques and analytical methods. Breath sample analysis encounters several obstacles. Particularly, there is a need of a system that could work in a continuous manner, with the low concentration and small volume of a sample. Herein we review, in the light of literature and our experience, clinical applications of the metal oxide semiconductor (MOS) sensor for breath analysis to distinguish between health and disease in some conditions, e.g., diabetes, multiple chemical sensitivity (MCS) syndrome, or in tracing the central neural fatigue resulting from cognitive performance. We submit that exhaled breath analysis holds promise in the diagnosis and treatment of genetic or neurodegenerative diseases which involve cognitive derangements.

摘要

古希腊医生已经知道,人的呼吸气味可以提供病理线索。如今,人们已经知道挥发性呼吸生物标志物在广泛的疾病中释放。然而,要将它们作为临床状况相关变化的指示物进行识别、分离和定量,就需要开发新技术和分析方法。呼吸样本分析遇到了几个障碍。特别是,需要有一种能够以连续方式工作的系统,其样本浓度低且体积小。在此,我们根据文献和我们的经验,综述了金属氧化物半导体(MOS)传感器在呼吸分析中的临床应用,以区分某些情况下的健康和疾病,例如糖尿病、多种化学敏感性(MCS)综合征,或追踪认知表现导致的中枢神经疲劳。我们认为,呼气分析有望用于诊断和治疗涉及认知障碍的遗传或神经退行性疾病。

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