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Showing content from https://pubmed.ncbi.nlm.nih.gov/35587826/ below:

Raman spectroscopy and multivariate analysis as potential tool to follow Alzheimer's disease progression

Affiliations

• ¹ Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Italy.
• ² Institute of Chemistry of Organometallic Compounds, ICCOM-CNR-Pisa, Pisa, Italy.
• ³ Institute of Clinical Physiology Research, IFC-CNR-Pisa, Pisa, Italy.
• ⁴ Spinal Cord Injuries Section, Azienda Ospedaliero-Universitaria, Pisa, Italy.
• ⁵ Institute of Chemistry of Organometallic Compounds, ICCOM-CNR-Pisa, Pisa, Italy. stefano.legnaioli@cnr.it.

• PMID: 35587826
• PMCID: PMC9117601
• DOI: 10.1007/s00216-022-04087-3

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Angela Gilda Carota et al. Anal Bioanal Chem. 2022 Jul.

• ¹ Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Italy.
• ² Institute of Chemistry of Organometallic Compounds, ICCOM-CNR-Pisa, Pisa, Italy.
• ³ Institute of Clinical Physiology Research, IFC-CNR-Pisa, Pisa, Italy.
• ⁴ Spinal Cord Injuries Section, Azienda Ospedaliero-Universitaria, Pisa, Italy.
• ⁵ Institute of Chemistry of Organometallic Compounds, ICCOM-CNR-Pisa, Pisa, Italy. stefano.legnaioli@cnr.it.

• PMID: 35587826
• PMCID: PMC9117601
• DOI: 10.1007/s00216-022-04087-3

Item in Clipboard

Raman spectroscopy is an emerging tool in the research and diagnosis of different diseases, including neurodegenerative disorders. In this work, blood serum samples collected from healthy controls and dementia patients were analysed by Raman spectroscopy to develop a classification model for the diagnosis of dementia of Alzheimer's type (DAT). Raman spectra were processed by means of multivariate tools for multivariate analysis. Lower concentration levels of carotenoids were detected in blood serum from patients, which allowed for a good discrimination with respect to controls, such as 93% of correct predictions on the test set with random forest. We also hypothesize that carotenoid levels might be informative about the severity and progression of the disease, since the intensity of carotenoid signals decreased from the early stage to more severe patients. These encouraging results suggest the possibility to use Raman spectroscopy for the analysis of alternative biofluids (e.g. saliva) and the unobtrusive diagnosis of other neurodegenerative disorders.

Keywords: Alzheimer’s disease; Biomarkers; Blood serum; Dementia; Multivariate analysis; Raman spectroscopy.

© 2022. The Author(s).

PubMed Disclaimer

The authors declare no competing interests.

Raman spectra from CTR (red…

Raman spectra from CTR (red line) and DAT (black line) blood serum sample

Raman spectra from CTR (red line) and DAT (black line) blood serum sample

PC analysis: score plot (…

PC analysis: score plot ( A ) and loading plot ( B )…

PC analysis: score plot (A) and loading plot (B) of the reduced spectrum dataset (carotenoids) (89.3% of variance explained on the two first principal components, 99.8% of variance explained by the first 10 PCs). CTR are in blue, while DAT in red

A PCA score plot of…

A PCA score plot of disease severity of DAT samples (99.8% of variance…

A PCA score plot of disease severity of DAT samples (99.8% of variance explained by the first 10 PCs). The arrow indicates the direction of increasing intensity of carotenoid peaks suggested by the loading plot, showed in B. In C and D, the CDR is plotted against the months of blood sample collection, for patients D14_1 and D26_1, respectively. The yellow circle indicates the date of collection of the analysed sample

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