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耳垢的质谱分析:迈向梅尼埃病的检测

Mass Spectrometric Interrogation of Earwax: Toward the Detection of Ménière's Disease.

作者信息

Coon Allix Marie, Setzen Gavin, Musah Rabi Ann

机构信息

Department of Chemistry, University at Albany, State University of New York, 1400 Washington Avenue, Albany, New York 12222, United States.

Albany ENT and Allergy Services, 123 Everett Rd, Albany, New York 12205, United States.

出版信息

ACS Omega. 2023 Jul 21;8(30):27010-27023. doi: 10.1021/acsomega.3c01943. eCollection 2023 Aug 1.

Abstract

Many diseases remain difficult to identify because the occurrence of characteristic biomarkers within traditional matrices such as blood and urine remain unknown. Disease diagnosis could, therefore, benefit from the analysis of readily accessible, non-traditional matrices that have a high chemical content and contain distinguishing biomarkers. One such matrix is cerumen (i.e., earwax), whose chemical complexity can pose challenges when analyzed by conventional methods. A combination of cerumen chemical profiles analyzed by gas chromatography-mass spectrometry (GC-MS) and direct analysis in real time-high-resolution mass spectrometry (DART-HRMS) were investigated to ascertain the possible presence of the rare otolaryngological disorder Ménière's disease. This illness is currently identified via "diagnosis by exclusion" in which the disease is distinguished from others with overlapping symptoms by the process of elimination. GC-MS revealed a chemical profile difference between those with and without a Ménière's disease diagnosis by a visually apparent diminution of the compounds present in the Ménière's disease samples. DART-HRMS revealed that the two classes could be differentiated using three fatty acids: -9-hexadecenoic acid, -10-heptadecenoic acid, and -9-octadecenoic acid. These compounds were subsequently quantified by GC-MS and overall, the amounts of these fatty acids were decreased in Ménière's disease patients. The average levels for non-Ménière's disease samples were 7.89 μg/mg for -9-hexadecenoic acid, 0.87 μg/mg for -10-heptadecenoic acid, and 4.94 μg/mg for -9-octadecenoic acid. The average levels for Ménière's disease samples were 1.70 μg/mg for -9-hexadecenoic acid, 0.13 μg/mg for -10-heptadecenoic acid, and 2.07 μg/mg for -9-octadecenoic acid. The confidence levels for -9-hexadecenoic acid, -10-heptadecenoic acid, and -9-octadecenoic acid were 98.7%, 99.9%, and 95.4%, respectively. The results suggest that assessment of the concentrations of these fatty acids could be a useful clinical tool for the more rapid and accurate detection of Ménière's disease.

摘要

许多疾病仍然难以识别,因为血液和尿液等传统基质中特征生物标志物的出现情况尚不清楚。因此,疾病诊断可以受益于对易于获取的非传统基质的分析,这些基质具有高化学含量并含有独特的生物标志物。一种这样的基质是耵聍(即耳垢),其化学复杂性在通过传统方法分析时可能带来挑战。研究了通过气相色谱 - 质谱联用(GC - MS)分析的耵聍化学图谱与实时直接分析 - 高分辨率质谱(DART - HRMS)相结合的方法,以确定罕见的耳鼻喉科疾病梅尼埃病可能的存在情况。这种疾病目前通过“排除诊断”来确定,即在这个过程中,通过排除法将该疾病与具有重叠症状的其他疾病区分开来。GC - MS显示,通过肉眼明显减少梅尼埃病样本中存在的化合物,有梅尼埃病诊断和无梅尼埃病诊断的人之间存在化学图谱差异。DART - HRMS显示,可以使用三种脂肪酸区分这两类:-9 - 十六碳烯酸、-10 - 十七碳烯酸和 -9 - 十八碳烯酸。随后通过GC - MS对这些化合物进行了定量,总体而言,这些脂肪酸的含量在梅尼埃病患者中有所降低。非梅尼埃病样本中 -9 - 十六碳烯酸的平均水平为7.89μg/mg,-10 - 十七碳烯酸为0.87μg/mg,-9 - 十八碳烯酸为4.94μg/mg。梅尼埃病样本中 -9 - 十六碳烯酸的平均水平为1.70μg/mg,-10 - 十七碳烯酸为0.13μg/mg,-9 - 十八碳烯酸为2.07μg/mg。-9 - 十六碳烯酸、-10 - 十七碳烯酸和 -9 - 十八碳烯酸的置信水平分别为98.7%、99.9%和95.4%。结果表明,评估这些脂肪酸的浓度可能是一种有用的临床工具,用于更快速准确地检测梅尼埃病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33c3/10399190/9df462de69ba/ao3c01943_0002.jpg

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