Vibrational spectroscopic analysis and quantification of proteins in human blood plasma and serum

Cameron, James M.; Bruno, Clément; Parachalil, Drishya Rajan; Baker, Matthew J.; Bonnier, Franck; Butler, Holly J.; Byrne, Hugh J.

doi:10.1016/b978-0-12-818610-7.00010-4

Cited by 16 publications

(11 citation statements)

References 155 publications

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“…The development of a simple, rapid and label-free diagnostic tool for IDH1 detection would be transformative for molecular diagnosis. Analytical techniques involving vibrational spectroscopy have great potential for diagnosing disease states, namely infrared and Raman spectroscopy [16][17][18]. In particular, Fourier transform infrared (FTIR) spectroscopy has been shown to be valuable for the detection of various cancers, such as breast, lung, colorectal, ovarian and prostate cancer [19][20][21][22][23][24][25][26], since it can probe the biochemical composition of normal and pathological tissue and generate the fingerprint structure of several biomolecular components, such as proteins, lipids and nucleic material [27,28].…”

Section: Glioma Entity Who Grade Idh1 Mutationmentioning

confidence: 99%

Interrogation of IDH1 Status in Gliomas by Fourier Transform Infrared Spectroscopy

Cameron

Conn

Rinaldi

et al. 2020

Cancers

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Mutations in the isocitrate dehydrogenase 1 (IDH1) gene are found in a high proportion of diffuse gliomas. The presence of the IDH1 mutation is a valuable diagnostic, prognostic and predictive biomarker for the management of patients with glial tumours. Techniques involving vibrational spectroscopy, e.g., Fourier transform infrared (FTIR) spectroscopy, have previously demonstrated analytical capabilities for cancer detection, and have the potential to contribute to diagnostics. The implementation of FTIR microspectroscopy during surgical biopsy could present a fast, label-free method for molecular genetic classification. For example, the rapid determination of IDH1 status in a patient with a glioma diagnosis could inform intra-operative decision-making between alternative surgical strategies. In this study, we utilized synchrotron-based FTIR microanalysis to probe tissue microarray sections from 79 glioma patients, and distinguished the positive class (IDH1-mutated) from the IDH1-wildtype glioma, with a sensitivity and specificity of 82.4% and 83.4%, respectively. We also examined the ability of attenuated total reflection (ATR)-FTIR spectroscopy in detecting the biomolecular events and global epigenetic and metabolic changes associated with mutations in the IDH1 enzyme, in blood serum samples collected from an additional 72 brain tumour patients. Centrifugal filtration enhanced the diagnostic ability of the classification models, with balanced accuracies up to ~69%. Identification of the molecular status from blood serum prior to biopsy could further direct some patients to alternative treatment strategies.

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Section: Glioma Entity Who Grade Idh1 Mutationmentioning

confidence: 99%

Interrogation of IDH1 Status in Gliomas by Fourier Transform Infrared Spectroscopy

Cameron

Conn

Rinaldi

et al. 2020

Cancers

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“…When analysing biofluids through FTIR spectroscopy, liquid drops are often dehydrated onto a substrate due to the spectral interference of water [125][126][127][128] . On the other hand, aqueous samples are well suited to Raman spectroscopy since water is a weak Raman scatterer, hence it is less common for biofluids to be dehydrated prior to Raman measurements 129 . We have published various studies in the last decade exploring these types of pre-analytical factors that seem to inhibit the clinical progression of FTIR spectroscopy, as well as computational methods to overcome some of those barriers [130][131][132][133][134] .…”

Section: Cryopreservationmentioning

confidence: 99%

Clinical Spectroscopy: Lost in Translation?

Cameron¹,

Rinaldi

Rutherford

et al. 2021

Appl Spectrosc

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This focal point article discusses the developments of biomedical Raman and infrared spectroscopy, and the recent strive towards being a recognised clinical tool for various applications. The promise of vibrational spectroscopy in the field of biomedical science, alongside the development of computational methods for spectral analysis, has driven a plethora of proof-of-concept studies which convey the potential of various spectroscopic approaches. Here we report a brief review of the literature published over the past few decades, with a focus on the current technical, clinical and economic barriers to translation, namely the limitations of many of these early studies, the lack of understanding of clinical pathways, health technology assessments, regulatory approval, clinical feasibility and funding applications. The field of biomedical vibrational spectroscopy must acknowledge and overcome these hurdles in order to achieve clinical efficacy. Current prospects have been overviewed with comment on the advised future direction of spectroscopic technologies, with the aspiration that many of these innovative approaches can ultimately reach the frontier of medical diagnostics and other clinical applications.

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“…Its sensitivity is limited, however, as a smaller range of metabolites can be detected by NMR [54]. Other approaches used in metabolomic research include vibrational spectroscopy which explores vibrations induced to the chemical bonds of metabolites following exposure to electromagnetic radiation [58]. Infrared and Raman spectroscopy are the two main vibrational spectroscopy techniques and respond to different types of vibrations, thus complementing each other [58].…”

Section: Metabolomic Platforms For Ec Biomarker Researchmentioning

confidence: 99%

“…Other approaches used in metabolomic research include vibrational spectroscopy which explores vibrations induced to the chemical bonds of metabolites following exposure to electromagnetic radiation [58]. Infrared and Raman spectroscopy are the two main vibrational spectroscopy techniques and respond to different types of vibrations, thus complementing each other [58]. The choice of platform to use in biomarker research is dependent on the focus of the study, the nature of clinical samples available, cost, accessibility and availability of expertise.…”

Section: Metabolomic Platforms For Ec Biomarker Researchmentioning

confidence: 99%

Metabolomic Biomarkers for Detection, Prognosis and Identifying Recurrence in Endometrial Cancer

et al. 2020

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Metabolic reprogramming is increasingly recognised as one of the defining hallmarks of tumorigenesis. There is compelling evidence to suggest that endometrial cancer develops and progresses in the context of profound metabolic dysfunction. Whilst the incidence of endometrial cancer continues to rise in parallel with the global epidemic of obesity, there are, as yet, no validated biomarkers that can aid risk prediction, early detection, prognostic evaluation or surveillance. Advances in high-throughput technologies have, in recent times, shown promise for biomarker discovery based on genomic, transcriptomic, proteomic and metabolomic platforms. Metabolomics, the large-scale study of metabolites, deals with the downstream products of the other omics technologies and thus best reflects the human phenotype. This review aims to provide a summary and critical synthesis of the existing literature with the ultimate goal of identifying the most promising metabolite biomarkers that can augment current endometrial cancer diagnostic, prognostic and recurrence surveillance strategies. Identified metabolites and their biochemical pathways are discussed in the context of what we know about endometrial carcinogenesis and their potential clinical utility is evaluated. Finally, we underscore the challenges inherent in metabolomic biomarker discovery and validation and provide fresh perspectives and directions for future endometrial cancer biomarker research.

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Vibrational spectroscopic analysis and quantification of proteins in human blood plasma and serum

Cited by 16 publications

References 155 publications

Interrogation of IDH1 Status in Gliomas by Fourier Transform Infrared Spectroscopy

Interrogation of IDH1 Status in Gliomas by Fourier Transform Infrared Spectroscopy

Clinical Spectroscopy: Lost in Translation?

Metabolomic Biomarkers for Detection, Prognosis and Identifying Recurrence in Endometrial Cancer

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