Promoting identification of amyotrophic lateral sclerosis based on label‐free plasma spectroscopy
| Autor: | Ning Wang, Minlu Ye, Wei Hu, Xueliang Lin, Shangyuan Feng, Qi-Fu Guo, Qi-Jie Zhang, Yang Chen, Xiao-Huan Zou |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Plasma spectroscopy Neurosciences. Biological psychiatry. Neuropsychiatry Severity of Illness Index Plasma 03 medical and health sciences 0302 clinical medicine Disease severity Humans Medicine Amyotrophic lateral sclerosis RC346-429 Research Articles Label free Chlorophyll metabolism Receiver operating characteristic business.industry General Neuroscience Amyotrophic Lateral Sclerosis Neurodegenerative Diseases Middle Aged medicine.disease Molecular biology 030104 developmental biology ROC Curve Pyrimidine metabolism Disease Progression Female Neurology. Diseases of the nervous system Neurology (clinical) business Phenylalanine metabolism Biomarkers 030217 neurology & neurosurgery RC321-571 Research Article |
| Zdroj: | Annals of Clinical and Translational Neurology Annals of Clinical and Translational Neurology, Vol 7, Iss 10, Pp 2010-2018 (2020) |
| ISSN: | 2328-9503 |
| DOI: | 10.1002/acn3.51194 |
| Popis: | Objective Amyotrophic lateral sclerosis (ALS) is an adult‐onset fatal neurodegenerative disease which lacks identified biological markers. A label‐free plasma surface‐enhanced Raman spectroscopy (SERS) method was developed to explore a simple and noninvasive test for ALS. Methods ALS patients were enrolled serially and plasma samples were collected at the time of diagnosis prior to the start of ALS treatment. SERS spectra were recorded using a Renishaw micro‐Raman system. Results To exclude the interference by varying disease severity, we enrolled three groups of ALS patients, including ALS‐1 (n = 60; ALSFRS‐R ≥ 42 and time interval ≤ 12 months), ALS‐2 (n = 61; ALSFRS‐R 12 months). The SERS spectra were analyzed using principal component analysis (PCA), which showed that ALS‐1, ALS‐2, ALS‐3, and control groups were separated significantly. Then, decision tree (DT) models and receiver operating characteristic curves were employed and identified that bands at 722 and 739 cm−1, and ratios of 635–722 cm−1 and 635–739 cm−1 were able to distinguish ALS from controls significantly. Finally, we highlighted six metabolism pathways correlated with ALS, including phenylalanine‐tyrosine‐tryptophan biosynthesis, aminoacyl‐tRNA biosynthesis, phenylalanine metabolism, pantothenate and CoA biosynthesis, porphyrin and chlorophyll metabolism, and pyrimidine metabolism. Interpretation: Plasma SERS could be a promising tool for the detection of ALS. The bands at 722 and 739 cm−1, and the ratios of 635–722 cm−1 and 635–739 cm−1 could serve as potential indicator for ALS. |
| Databáze: | OpenAIRE |
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