Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy.
Department of Materials Science, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milano, Italy.
Anal Chem. 2021 Dec 28;93(51):16995-17002. doi: 10.1021/acs.analchem.1c02546. Epub 2021 Dec 14.
Biofluid analysis by optical spectroscopy techniques is attracting considerable interest due to its potential to revolutionize diagnostics and precision medicine, particularly for neurodegenerative diseases. However, the lack of effective biomarkers combined with the unaccomplished identification of convenient biofluids has drastically hampered optical advancements in clinical diagnosis and monitoring of neurodegenerative disorders. Here, we show that vibrational spectroscopy applied to human tears opens a new route, offering a non-invasive, label-free identification of a devastating disease such as amyotrophic lateral sclerosis (ALS). Our proposed approach has been validated using two widespread techniques, namely, Fourier transform infrared (FTIR) and Raman microspectroscopies. In conjunction with multivariate analysis, this vibrational approach made it possible to discriminate between tears from ALS patients and healthy controls (HCs) with high specificity (∼97% and ∼100% for FTIR and Raman spectroscopy, respectively) and sensitivity (∼88% and ∼100% for FTIR and Raman spectroscopy, respectively). Additionally, the investigation of tears allowed us to disclose ALS spectroscopic markers related to protein and lipid alterations, as well as to a reduction of the phenylalanine level, in comparison with HCs. Our findings show that vibrational spectroscopy is a new potential ALS diagnostic approach and indicate that tears are a reliable and non-invasive source of ALS biomarkers.
由于光学光谱技术有可能彻底改变诊断学和精准医学,特别是在神经退行性疾病方面,因此它正受到极大的关注。然而,缺乏有效的生物标志物,再加上未能确定方便的生物流体,极大地阻碍了光学技术在神经退行性疾病的临床诊断和监测中的发展。在这里,我们展示了将振动光谱应用于人眼泪中为我们提供了一个新途径,它可以提供一种非侵入性、无标记的方法,用于识别像肌萎缩性侧索硬化症(ALS)这样的破坏性疾病。我们提出的方法已经使用两种广泛使用的技术,即傅里叶变换红外(FTIR)和拉曼显微镜光谱学进行了验证。通过与多元分析相结合,这种振动方法能够以高特异性(FTIR 和拉曼光谱分别约为 97%和 100%)和敏感性(FTIR 和拉曼光谱分别约为 88%和 100%)区分 ALS 患者和健康对照者(HCs)的眼泪。此外,对眼泪的研究使我们能够揭示与蛋白质和脂质变化以及与 HCs 相比苯丙氨酸水平降低相关的 ALS 光谱标记物。我们的研究结果表明,振动光谱是一种新的潜在 ALS 诊断方法,并表明眼泪是 ALS 生物标志物的可靠、非侵入性来源。