Related Experiment Video
Updated: May 8, 2026
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Raman spectroscopy and partial least squares analysis in discrimination of peripheral cells affected by Huntington's
1Institute of Integrated Micro and Nano System, School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom. m.muratore@ed.ac.uk
Insights
Plasma membrane analysis using Raman spectroscopy can help detect Huntington's disease (HD). Changes in lipid rafts within fibroblast plasma membranes serve as a potential biomarker for early HD diagnosis.
Area of Science:
- Biochemistry
- Neuroscience
- Spectroscopy
Background:
- Huntington's disease (HD) is a neurodegenerative disorder caused by a CAG trinucleotide expansion in the Huntingtin gene (HTT).
- The Huntingtin protein (Htt) is implicated in cellular dysregulation within lipid rafts of plasma membranes in peripheral fibroblasts.
- Plasma membrane analysis offers a potential diagnostic avenue for detecting HD in accessible peripheral cells.
Purpose of the Study:
- To investigate the plasma membrane as a potential diagnostic biomarker for Huntington's disease.
- To corroborate the utility of plasma membranes as a sub-cellular biomarker for HD identification using Raman spectroscopy and chemometrics.
Main Methods:
- Raman spectroscopy was employed to analyze plasma membranes from HD and control fibroblast cells.
- A chemometric approach, specifically Partial Least Square (PLS) analysis, was utilized.
- Spectral data were collected in the 400–1800 cm⁻¹ and 2700–3200 cm⁻¹ regions.
Main Results:
- Significant differences and peak displacements were observed in the 400–1800 cm⁻¹ spectral region between HD and control plasma membranes.
- Key compositional differences were identified in cholesterol, phospholipids (notably phosphatidylinositol), and tyrosine-containing proteins.
- These spectral variations indicate distinct plasma membrane compositions in HD patients.
Conclusions:
- The plasma membrane of peripheral cells demonstrates potential as a diagnostic biomarker for Huntington's disease.
- Raman spectroscopy combined with PLS analysis effectively discriminates between HD and control samples.
- Further in vitro and in vivo research is warranted to explore the clinical applicability of plasma membrane analysis for HD detection.
Abstract:
Huntington's disease (HD) is a neurodegenerative disorder caused by trinucleotide CAG (Cytosine-Adenine-Guanine) expansion on the Huntingtin gene (HTT) encoding for the Huntingtin protein (Htt). The protein has been linked in peripheral fibroblasts with dysregulation of cellular components which are part of lipid rafts in plasma membrane sub-domains. Therefore the analysis of the plasma membrane might be a useful diagnostic biomarker for the detection of the presence and possible onset of HD in readily accessible peripheral cells. Here Raman spectroscopy has been used with a chemometric approach in the form of Partial Least Square (PLS) for an initial corroboration that the plasma membrane is indeed a sub-cellular biomarker discriminator for HD identification. Observations were made in the spectral regions from 400 to 1800 cm(-1) and 2700 to 3200 cm(-1) with the former region displaying the most significant differences and peak displacement between plasma membranes extracted from HD and control fibroblast cells. The major differences in plasma membrane composition reside in sub-cellular elements putatively associated to cholesterol, phospholipids (mainly phophatidylinositol) as well as proteins containing tyrosine. These findings are indicative of the plasma membrane as an amenable biomarker for HD for further in vitro research with possible applications in vivo models.
