Label-free fibre optic Raman spectroscopy with bounded simplex-structured matrix factorization for the serial study of serum in amyotrophic lateral sclerosis

Alix, James J P; Verber, Nick; Schooling, Chlöe N; Kadirkamanathan, Visakan; Turner, Martin R.; Malaspina, Andrea; Day, John C C; Shaw, Pamela J.

doi:10.1039/d2an00936f

Cited by 4 publications

(3 citation statements)

References 51 publications

(89 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Raman spectroscopy is an emerging biomarker for neuromuscular diseases that derives a biochemical fingerprint from the sample of interest via the vibration of chemical bonds. Work from our group and others has also demonstrated the potential of Raman to identify several neurological diseases from a range of tissues, including serum, 6–8 saliva 9 and tears. 10 We have recently developed in vivo muscle recordings for the assessment of preclinical mouse models 11–13 and demonstrated efficacy in human biopsy samples.…”

Section: Introductionmentioning

confidence: 88%

Conformational fingerprinting with Raman spectroscopy reveals protein structure as a translational biomarker of muscle pathology

Alix,

Plesia,

Dudgeon

et al. 2024

Analyst

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 88%

Conformational fingerprinting with Raman spectroscopy reveals protein structure as a translational biomarker of muscle pathology

Alix,

Plesia,

Dudgeon

et al. 2024

Analyst

Self Cite

View full text Add to dashboard Cite

show abstract

“…Schematic layout of the portable Raman spectrometer is presented in Figure 10. Alix et al (2022) developed an optical fiber fluid pool to permit the spontaneous Raman spectrum-based analysis of human biofluids amenable to use outside of laboratory settings. This system was then applied to assess serum samples collected from patients with ALS on their first visit (n = 66) and after four months (n = 27).…”

Section: Applying Raman Spectroscopy In Other Neurodegenerative Diseasesmentioning

confidence: 99%

Applications of Raman spectroscopy in the diagnosis and monitoring of neurodegenerative diseases

Chen,

Qi,

et al. 2024

Front. Neurosci.

View full text Add to dashboard Cite

Raman scattering is an inelastic light scattering that occurs in a manner reflective of the molecular vibrations of molecular structures and chemical conditions in a given sample of interest. Energy changes in the scattered light can be assessed to determine the vibration mode and associated molecular and chemical conditions within the sample, providing a molecular fingerprint suitable for sample identification and characterization. Raman spectroscopy represents a particularly promising approach to the molecular analysis of many diseases owing to clinical advantages including its instantaneous nature and associated high degree of stability, as well as its ability to yield signal outputs corresponding to a single molecule type without any interference from other molecules as a result of its narrow peak width. This technology is thus ideally suited to the simultaneous assessment of multiple analytes. Neurodegenerative diseases represent an increasingly significant threat to global public health owing to progressive population aging, imposing a severe physical and social burden on affected patients who tend to develop cognitive and/or motor deficits beginning between the ages of 50 and 70. Owing to a relatively limited understanding of the etiological basis for these diseases, treatments are lacking for the most common neurodegenerative diseases, which include Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, and amyotrophic lateral sclerosis. The present review was formulated with the goal of briefly explaining the principle of Raman spectroscopy and discussing its potential applications in the diagnosis and evaluation of neurodegenerative diseases, with a particular emphasis on the research prospects of this novel technological platform.

show abstract

“…Raman spectral data can then be combined with ML algorithms and multivariate analysis to enable accurate diagnostics of disease progression and discrimination between disease subtypes. By probing these metabolites, RS has characterized tissue, − cells, − and biofluids , including tears, − urine, saliva, − serum, − and plasma. − However, a limitation of spontaneous RS is the time required for a reasonable SNR, which limits both the ability for subcellular imaging and to monitor processes in real time. Both of these characteristics are necessary to understand the mechanistic pathway of metabolic changes.…”

Section: Introductionmentioning

confidence: 99%

The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine

Cutshaw,

Uthaman,

Hassan

et al. 2023

Chem. Rev.

View full text Add to dashboard Cite

Omics technologies have rapidly evolved with the unprecedented potential to shape precision medicine. Novel omics approaches are imperative toallow rapid and accurate data collection and integration with clinical information and enable a new era of healthcare. In this comprehensive review, we highlight the utility of Raman spectroscopy (RS) as an emerging omics technology for clinically relevant applications using clinically significant samples and models. We discuss the use of RS both as a label-free approach for probing the intrinsic metabolites of biological materials, and as a labeled approach where signal from Raman reporters conjugated to nanoparticles (NPs) serve as an indirect measure for tracking protein biomarkers in vivo and for high throughout proteomics. We summarize the use of machine learning algorithms for processing RS data to allow accurate detection and evaluation of treatment response specifically focusing on cancer, cardiac, gastrointestinal, and neurodegenerative diseases. We also highlight the integration of RS with established omics approaches for holistic diagnostic information. Further, we elaborate on metal-free NPs that leverage the biological Raman-silent region overcoming the challenges of traditional metal NPs. We conclude the review with an outlook on future directions that will ultimately allow the adaptation of RS as a clinical approach and revolutionize precision medicine.

show abstract

Label-free fibre optic Raman spectroscopy with bounded simplex-structured matrix factorization for the serial study of serum in amyotrophic lateral sclerosis

Abstract: Amyotrophic lateral sclerosis (ALS) is an incurable neurodegenerative disease in urgent need of disease biomarkers for the assessment of promising therapeutic candidates in clinical trials. Raman spectroscopy is an attractive...

Cited by 4 publications

References 51 publications

Conformational fingerprinting with Raman spectroscopy reveals protein structure as a translational biomarker of muscle pathology

Conformational fingerprinting with Raman spectroscopy reveals protein structure as a translational biomarker of muscle pathology

Applications of Raman spectroscopy in the diagnosis and monitoring of neurodegenerative diseases

The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine

Contact Info

Product

Resources

About