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Promoting identification of amyotrophic lateral sclerosis based on label-free plasma spectroscopy.
Zhang, Qi-Jie; Chen, Yang; Zou, Xiao-Huan; Hu, Wei; Ye, Min-Lu; Guo, Qi-Fu; Lin, Xue-Liang; Feng, Shang-Yuan; Wang, Ning.
Afiliação
  • Zhang QJ; Department of Neurology and Institute of Neurology, First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Chen Y; Department of Laboratory Medicine, Fujian Medical University, Fuzhou, China.
  • Zou XH; Department of Neurology and Institute of Neurology, First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Hu W; Department of Neurology and Institute of Neurology, First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Ye ML; Department of Laboratory Medicine, Fujian Medical University, Fuzhou, China.
  • Guo QF; Department of Neurology and Institute of Neurology, First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Lin XL; Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, China.
  • Feng SY; Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, China.
  • Wang N; Department of Neurology and Institute of Neurology, First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Ann Clin Transl Neurol ; 7(10): 2010-2018, 2020 10.
Article em En | MEDLINE | ID: mdl-32951348
ABSTRACT

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 < 42 and time interval ≤ 12 months), and ALS-3 (n = 61; ALSFRS-R ≥ 38 and time interval> 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Doenças Neurodegenerativas / Esclerose Lateral Amiotrófica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans / Middle aged Idioma: En Revista: Ann Clin Transl Neurol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Doenças Neurodegenerativas / Esclerose Lateral Amiotrófica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans / Middle aged Idioma: En Revista: Ann Clin Transl Neurol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China