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das Chagas E Silva de Carvalho LF, de Lima Morais TM, Nogueira MS. Providing potential solutions by using FT-IR spectroscopy for biofluid analysis: Clinical impact of optical screening and diagnostic tests. Photodiagnosis Photodyn Ther 2023; 44:103753. [PMID: 37597683 DOI: 10.1016/j.pdpdt.2023.103753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 08/02/2023] [Accepted: 08/15/2023] [Indexed: 08/21/2023]
Abstract
BACKGROUND Currently, the potential of FT-IR spectroscopy for rapid diagnosis of many pathologies has been demonstrated by numerous research studies including those targeting COVID-19 detection. However, the number of clinicians aware of this potential and who are willing to use spectroscopy in their clinics and hospitals is still negligible. In addition, lack of awareness creates a huge gap between clinicians and researchers involved in clinical translation of current FT-IR technology hence hindering initiatives to bring basic and applied research together for the direct benefit of patients. METHODS Knowledge and medical training on FT-IR on the side of clinicians should be one of the first steps to be able to integrate it into the list of complementary exams which may be requested by health professionals. Countless FT-IR applications could have a life-changing impact on patients' lives, especially screening and diagnostic tests involving biofluids such as blood, saliva and urine which are routinely non-invasively or minimally-invasively. RESULTS Blood may be the most difficult to obtain by the invasive method of collection, but much can be evaluated in its components, and areas such as hematology, infectiology, oncology and endocrinology can be directly benefited. Urine with a relatively simple collection method can provide pertinent information from the entire urinary system, including the actual condition of the kidneys. Saliva collection can be simpler for the patient and can provide information on diseases affecting the mouth and digestive system and can be used to diagnose diseases such as oral cancer in its early-stages. An unavoidable second step is the active involvement of industries to design robust and portable instruments for specific purposes, as the medical community requires user-friendly instruments of advanced computational algorithms. A third step resides in the legal situation involving the global use of the technique as a new diagnostic modality. CONCLUSIONS It is important to note that decentralized funds for variety of technologies hinders the training of clinical and medical professionals for the use of newly arising technologies and affect the engagement of these professionals with technology developers. As a result of decentralized funding, research efforts are spread out over a range of technologies which take a long time to get validated and translated to the clinic. Partnership over similar groups of technologies and efforts to test the same technologies while overcoming barriers posed to technology validation in different areas around the globe may benefit the clinical/medical, research and industry community globally.
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Affiliation(s)
| | | | - Marcelo Saito Nogueira
- Tyndall National Institute, Lee Maltings, Dyke Parade, Cork T12 R5CP, Ireland; Department of Physics, University College Cork, College Road, Cork T12 K8AF, Ireland.
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Monaghan JF, Cullen D, Wynne C, Lyng FM, Meade AD. Effect of pre-analytical variables on Raman and FTIR spectral content of lymphocytes. Analyst 2023; 148:5422-5434. [PMID: 37750362 DOI: 10.1039/d3an00686g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
The use of Fourier transform infrared (FTIR) and Raman spectroscopy (RS) for the analysis of lymphocytes in clinical applications is increasing in the field of biomedicine. The pre-analytical phase, which is the most vulnerable stage of the testing process, is where most errors and sample variance occur; however, it is unclear how pre-analytical variables affect the FTIR and Raman spectra of lymphocytes. In this study, we evaluated how pre-analytical procedures undertaken before spectroscopic analysis influence the spectral integrity of lymphocytes purified from the peripheral blood of male volunteers (n = 3). Pre-analytical variables investigated were associated with (i) sample preparation, (blood collection systems, anticoagulant, needle gauges), (ii) sample storage (fresh or frozen), and (iii) sample processing (inter-operator variability, time to lymphocyte isolation). Although many of these procedural pre-analytical variables did not alter the spectral signature of the lymphocytes, evidence of spectral effects due to the freeze-thaw cycle, in vitro culture inter-operator variability and the time to lymphocyte isolation was observed. Although FTIR and RS possess clinical potential, their translation into a clinical environment is impeded by a lack of standardisation and harmonisation of protocols related to the preparation, storage, and processing of samples, which hinders uniform, accurate, and reproducible analysis. Therefore, further development of protocols is required to successfully integrate these techniques into current clinical workflows.
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Affiliation(s)
- Jade F Monaghan
- School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Central Quad, City Campus, Grangegorman, D07 XT95, Ireland.
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Aungier Street, D02 HW71, Ireland
| | - Daniel Cullen
- School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Central Quad, City Campus, Grangegorman, D07 XT95, Ireland.
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Aungier Street, D02 HW71, Ireland
| | - Claire Wynne
- School of Biological, Health and Sports Sciences, Technological University Dublin, Central Quad, City Campus, Grangegorman, D07 XT95, Ireland
| | - Fiona M Lyng
- School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Central Quad, City Campus, Grangegorman, D07 XT95, Ireland.
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Aungier Street, D02 HW71, Ireland
| | - Aidan D Meade
- School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Central Quad, City Campus, Grangegorman, D07 XT95, Ireland.
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Aungier Street, D02 HW71, Ireland
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3
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Prada P, Brunel B, Moulin D, Rouillon L, Netter P, Loeuille D, Slimano F, Bouche O, Peyrin-Biroulet L, Jouzeau JY, Piot O. Identification of circulating biomarkers of Crohn's disease and spondyloarthritis using Fourier transform infrared spectroscopy. JOURNAL OF BIOPHOTONICS 2023; 16:e202200200. [PMID: 36112612 DOI: 10.1002/jbio.202200200] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/14/2022] [Accepted: 09/15/2022] [Indexed: 06/15/2023]
Abstract
Crohn's disease (CD) and spondyloarthritis (SpA) are two inflammatory diseases sharing many common features (genetic polymorphism, armamentarium). Both diseases lack diagnostic markers of certainty. While the diagnosis of CD is made by a combination of clinical, and biological criteria, the diagnosis of SpA may take several years to be confirmed. Based on the hypothesis that CD and SpA alter the biochemical profile of plasma, the objective of this study was to evaluate the analytical capability of Fourier transform infrared spectroscopy (FTIR) in identifying spectral biomarkers. Plasma from 104 patients was analyzed. After data processing of the spectra by Extended Multiplicative Signal Correction and linear discriminant analysis, we demonstrated that it was possible to distinguish CD and SpA from controls with an accuracy of 97% and 85% respectively. Spectral differences were mainly associated with proteins and lipids. This study showed that FTIR analysis is efficient to identify plasma biosignatures specific to CD or SpA.
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Affiliation(s)
- Pierre Prada
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Benjamin Brunel
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
- FEMTO-ST Institute, CNRS UMR-6174, Université de Bourgogne Franche-Comté, Besançon, France
| | - David Moulin
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Lise Rouillon
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Patrick Netter
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Damien Loeuille
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Florian Slimano
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Olivier Bouche
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Laurent Peyrin-Biroulet
- Département de Gastroentérologie, Hôpital Universitaire de Nancy-Brabois, Vandœuvre-lès-Nancy, France
| | - Jean-Yves Jouzeau
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Olivier Piot
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
- Plateforme d'Imagerie Cellulaire ou Tissulaire (PICT), Université de Reims Champagne-Ardenne, Reims, France
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4
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Rutherford SH, Baker MJ, Hunt NT. 2D-IR spectroscopy of proteins in H 2O-A Perspective. J Chem Phys 2023; 158:030901. [PMID: 36681646 DOI: 10.1063/5.0129480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
The form of the amide I infrared absorption band provides a sensitive probe of the secondary structure and dynamics of proteins in the solution phase. However, the frequency coincidence of the amide I band with the bending vibrational mode of H2O has necessitated the widespread use of deuterated solvents. Recently, it has been demonstrated that ultrafast 2D-IR spectroscopy allows the detection of the protein amide I band in H2O-based fluids, meaning that IR methods can now be applied to study proteins in physiologically relevant solvents. In this perspective, we describe the basis of the 2D-IR method for observing the protein amide I band in H2O and show how this development has the potential to impact areas ranging from our fundamental appreciation of protein structural dynamics to new applications for 2D-IR spectroscopy in the analytical and biomedical sciences. In addition, we discuss how the spectral response of water, rather than being a hindrance, now provides a basis for new approaches to data pre-processing, standardization of 2D-IR data collection, and signal quantification. Ultimately, we visualize a direction of travel toward the creation of 2D-IR spectral libraries that can be linked to advanced computational methods for use in high-throughput protein screening and disease diagnosis.
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Affiliation(s)
- Samantha H Rutherford
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow G1 1RD, United Kingdom
| | - Matthew J Baker
- School of Medicine, Faculty of Clinical Biomedical Sciences, University of Central Lancashire, Preston PR1 2HE, United Kingdom
| | - Neil T Hunt
- Department of Chemistry and York Biomedical Research Institute, University of York, York YO10 5DD, United Kingdom
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5
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Sala A, Cameron JM, Jenkins CA, Barr H, Christie L, Conn JJA, Evans TRJ, Harris DA, Palmer DS, Rinaldi C, Theakstone AG, Baker MJ. Liquid Biopsy for Pancreatic Cancer Detection Using Infrared Spectroscopy. Cancers (Basel) 2022; 14:3048. [PMID: 35804820 PMCID: PMC9264892 DOI: 10.3390/cancers14133048] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 06/16/2022] [Accepted: 06/20/2022] [Indexed: 12/04/2022] Open
Abstract
Pancreatic cancer claims over 460,000 victims per year. The carbohydrate antigen (CA) 19-9 test is the blood test used for pancreatic cancer's detection; however, its levels can be raised in symptomatic patients with other non-malignant diseases, or with other tumors in the surrounding area. Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy has demonstrated exceptional potential in cancer diagnostics, and its clinical implementation could represent a significant step towards early detection. This proof-of-concept study, investigating the use of ATR-FTIR spectroscopy on dried blood serum, focused on the discrimination of both cancer versus healthy control samples, and cancer versus symptomatic non-malignant control samples, as a novel liquid biopsy approach for pancreatic cancer diagnosis. Machine learning algorithms were applied, achieving results of up to 92% sensitivity and 88% specificity when discriminating between cancers (n = 100) and healthy controls (n = 100). An area under the curve (AUC) of 0.95 was obtained through receiver operating characteristic (ROC) analysis. Balanced sensitivity and specificity over 75%, with an AUC of 0.83, were achieved with cancers (n = 35) versus symptomatic controls (n = 35). Herein, we present these results as demonstration that our liquid biopsy approach could become a simple, minimally invasive, and reliable diagnostic test for pancreatic cancer detection.
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Affiliation(s)
- Alexandra Sala
- Department of Pure and Applied Chemistry, University of Strathclyde, Thomas Graham Building, Glasgow G1 1XL, UK; (A.S.); (L.C.); (D.S.P.)
- Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK; (J.M.C.); (J.J.A.C.)
| | - James M. Cameron
- Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK; (J.M.C.); (J.J.A.C.)
| | - Cerys A. Jenkins
- Swansea University Medical School, Swansea University, Swansea SA2 8PP, UK;
| | - Hugh Barr
- Gloucestershire Hospitals NHS Foundation Trust, Gloucester GL1 2EL, UK;
| | - Loren Christie
- Department of Pure and Applied Chemistry, University of Strathclyde, Thomas Graham Building, Glasgow G1 1XL, UK; (A.S.); (L.C.); (D.S.P.)
- Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK; (J.M.C.); (J.J.A.C.)
| | - Justin J. A. Conn
- Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK; (J.M.C.); (J.J.A.C.)
| | | | - Dean A. Harris
- Singleton Hospital, Swansea Bay University Local Health Board, Swansea SA2 8QA, UK;
| | - David S. Palmer
- Department of Pure and Applied Chemistry, University of Strathclyde, Thomas Graham Building, Glasgow G1 1XL, UK; (A.S.); (L.C.); (D.S.P.)
- Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK; (J.M.C.); (J.J.A.C.)
| | - Christopher Rinaldi
- Department of Pure and Applied Chemistry, University of Strathclyde, The Technology and Innovation Centre, Glasgow G1 1RD, UK; (C.R.); (A.G.T.)
| | - Ashton G. Theakstone
- Department of Pure and Applied Chemistry, University of Strathclyde, The Technology and Innovation Centre, Glasgow G1 1RD, UK; (C.R.); (A.G.T.)
| | - Matthew J. Baker
- Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK; (J.M.C.); (J.J.A.C.)
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6
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Cameron JM, Rinaldi C, Rutherford SH, Sala A, G Theakstone A, Baker MJ. Clinical Spectroscopy: Lost in Translation? APPLIED SPECTROSCOPY 2022; 76:393-415. [PMID: 34041957 DOI: 10.1177/00037028211021846] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
This Focal Point Review paper discusses the developments of biomedical Raman and infrared spectroscopy, and the recent strive towards these technologies being regarded as reliable clinical tools. 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 the early studies, and 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 many clinical applications.
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Affiliation(s)
| | - Christopher Rinaldi
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, Glasgow, UK
| | - Samantha H Rutherford
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, Glasgow, UK
| | - Alexandra Sala
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, Glasgow, UK
| | - Ashton G Theakstone
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, Glasgow, UK
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7
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d’Apuzzo F, Nucci L, Delfino I, Portaccio M, Minervini G, Isola G, Serino I, Camerlingo C, Lepore M. Application of Vibrational Spectroscopies in the Qualitative Analysis of Gingival Crevicular Fluid and Periodontal Ligament during Orthodontic Tooth Movement. J Clin Med 2021; 10:jcm10071405. [PMID: 33915746 PMCID: PMC8036342 DOI: 10.3390/jcm10071405] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 03/19/2021] [Accepted: 03/24/2021] [Indexed: 02/07/2023] Open
Abstract
Optical vibrational techniques show a high potentiality in many biomedical fields for their characteristics of high sensitivity in revealing detailed information on composition, structure, and molecular interaction with reduced analysis time. In the last years, we have used these techniques for investigating gingival crevicular fluid (GCF) and periodontal ligament (PDL) during orthodontic tooth treatment. The analysis with Raman and infrared signals of GCF and PDL samples highlighted that different days of orthodontic force application causes modifications in the molecular secondary structure at specific wavenumbers related to the Amide I, Amide III, CH deformation, and CH3/CH2. In the present review, we report the most relevant results and a brief description of the experimental techniques and data analysis procedure in order to evidence that the vibrational spectroscopies could be a potential useful tool for an immediate monitoring of the individual patient's response to the orthodontic tooth movement, aiming to more personalized treatment reducing any side effects.
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Affiliation(s)
- Fabrizia d’Apuzzo
- Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, 80138 Napoli, Italy; (L.N.); (G.M.)
- Correspondence: ; Tel.: +39-3384820462
| | - Ludovica Nucci
- Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, 80138 Napoli, Italy; (L.N.); (G.M.)
| | - Ines Delfino
- Department of Ecological and Biological Sciences, University of Tuscia, 01100 Viterbo, Italy;
| | - Marianna Portaccio
- Department of Experimental Medicine, University of Campania Luigi Vanvitelli, 80138 Napoli, Italy; (M.P.); (I.S.); (M.L.)
| | - Giuseppe Minervini
- Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, 80138 Napoli, Italy; (L.N.); (G.M.)
| | - Gaetano Isola
- Department of General Surgery and Medical-Surgical Specialties, University of Catania, 95124 Catania, Italy;
| | - Ismene Serino
- Department of Experimental Medicine, University of Campania Luigi Vanvitelli, 80138 Napoli, Italy; (M.P.); (I.S.); (M.L.)
| | - Carlo Camerlingo
- CNR-SPIN, SuPerconductivity and Other INnovative Materials and Devices Institute, 80078 Pozzuoli, Italy;
| | - Maria Lepore
- Department of Experimental Medicine, University of Campania Luigi Vanvitelli, 80138 Napoli, Italy; (M.P.); (I.S.); (M.L.)
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8
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Brennan PM, Butler HJ, Christie L, Hegarty MG, Jenkinson MD, Keerie C, Norrie J, O'Brien R, Palmer DS, Smith BR, Baker MJ. Early diagnosis of brain tumours using a novel spectroscopic liquid biopsy. Brain Commun 2021; 3:fcab056. [PMID: 33997782 PMCID: PMC8111062 DOI: 10.1093/braincomms/fcab056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 02/15/2021] [Accepted: 02/17/2021] [Indexed: 12/05/2022] Open
Abstract
Early diagnosis of brain tumours is challenging and a major unmet need. Patients with brain tumours most often present with non-specific symptoms more commonly associated with less serious diagnoses, making it difficult to determine which patients to prioritize for brain imaging. Delays in diagnosis affect timely access to treatment, with potential impacts on quality of life and survival. A test to help identify which patients with non-specific symptoms are most likely to have a brain tumour at an earlier stage would dramatically impact on patients by prioritizing demand on diagnostic imaging facilities. This clinical feasibility study of brain tumour early diagnosis was aimed at determining the accuracy of our novel spectroscopic liquid biopsy test for the triage of patients with non-specific symptoms that might be indicative of a brain tumour, for brain imaging. Patients with a suspected brain tumour based on assessment of their symptoms in primary care can be referred for open access CT scanning. Blood samples were prospectively obtained from 385 of such patients, or patients with a new brain tumour diagnosis. Samples were analysed using our spectroscopic liquid biopsy test to predict presence of disease, blinded to the brain imaging findings. The results were compared to the patient’s index brain imaging delivered as per standard care. Our test predicted the presence of glioblastoma, the most common and aggressive brain tumour, with 91% sensitivity, and all brain tumours with 81% sensitivity, and 80% specificity. Negative predictive value was 95% and positive predictive value 45%. The reported levels of diagnostic accuracy presented here have the potential to improve current symptom-based referral guidelines, and streamline assessment and diagnosis of symptomatic patients with a suspected brain tumour.
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Affiliation(s)
- Paul M Brennan
- Translational Neurosurgery, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Holly J Butler
- ClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK
| | - Loren Christie
- ClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK
| | - Mark G Hegarty
- ClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK
| | - Michael D Jenkinson
- Institute of Translational Medicine, University of Liverpool & The Walton Centre NHS Foundation Trust, Liverpool L9 7LJ, UK
| | - Catriona Keerie
- Edinburgh Clinical Trials Unit, Usher Institute-University of Edinburgh, Edinburgh EH16 4UX, UK
| | - John Norrie
- Edinburgh Clinical Trials Unit, Usher Institute-University of Edinburgh, Edinburgh EH16 4UX, UK
| | - Rachel O'Brien
- Emergency Medicine Research Group (EMERGE), Royal Infirmiry of Edinburgh, Edinburgh EH16 4SA, UK
| | - David S Palmer
- ClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK.,Department of Pure and Applied Chemistry, Thomas Graham Building, University of Strathclyde, Glasgow G11XL, UK
| | - Benjamin R Smith
- ClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK
| | - Matthew J Baker
- ClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK
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9
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Li L, Wu J, Yang L, Wang H, Xu Y, Shen K. Fourier Transform Infrared Spectroscopy: An Innovative Method for the Diagnosis of Ovarian Cancer. Cancer Manag Res 2021; 13:2389-2399. [PMID: 33737836 PMCID: PMC7965685 DOI: 10.2147/cmar.s291906] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 02/03/2021] [Indexed: 12/24/2022] Open
Abstract
Ovarian cancer is the most lethal gynecologic malignancy due to the late diagnoses at advanced stages, drug resistance and the high recurrence rate. Thus, there is an urgent need to develop new techniques to diagnose and monitor ovarian cancer patients. Fourier transform infrared (FTIR) spectroscopy has great potential in the diagnosis of this disease, as well as the real-time monitoring of cancer development and chemoresistance. As a noninvasive, simple and convenient technique, it can not only distinguish the molecular differences between normal and malignant tissues, but also be used to identify the characteristics of different types of ovarian cancer. FTIR spectroscopy is also widely used in monitoring cancer cells in response to antitumor drugs, distinguishing cells in different growth states, and identifying new synthetic drugs. In this paper, the applications of FTIR spectroscopy for ovarian cancer diagnosis and other works carried out so far are described in detail.
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Affiliation(s)
- Lei Li
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
| | - Jinguang Wu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing, People's Republic of China
| | - Limin Yang
- State Key Laboratory of Nuclear Physics and Technology, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, People's Republic of China
| | - Huizi Wang
- Medical Science Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
| | - Yizhuang Xu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing, People's Republic of China
| | - Keng Shen
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
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10
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Albert JD, Le Corvec M, Berthoud O, David C, Guennoc X, Hoppe E, Jousse-Joulin S, Le Goff B, Tariel H, Sire O, Jolivet-Gougeon A, Coiffier G, Loréal O. Ruling out septic arthritis risk in a few minutes using mid-infrared spectroscopy in synovial fluids. Rheumatology (Oxford) 2021; 60:1158-1165. [PMID: 32885254 DOI: 10.1093/rheumatology/keaa373] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 05/19/2020] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVES The aim of this study was to show the usefulness of a mid-infrared fibre evanescent wave spectroscopy point of care device in the identification of septic arthritis patients in a multicentre cohort, and to apply this technology to clinical practice among physicians. METHODS SF samples from 402 patients enrolled in a multicentre cohort were frozen for analysis by mid-infrared fibre evanescent wave spectroscopy. The calibration cohort was divided into two groups of patients (septic arthritis and non-septic arthritis) and relevant spectral variables were used for logistic regression model. Model performances were tested on an independent set of 86 freshly obtained SF samples from patients enrolled in a single-centre acute arthritis cohort and spectroscopic analyses performed at the patient's bedside. RESULTS The model set-up, using frozen-thawed SFs, provided good performances, with area under the curve 0.95, sensitivity 0.90, specificity 0.90, positive predictive value 0.41 and negative predictive value 0.99. Performances obtained in the validation cohort were area under the curve 0.90, sensitivity 0.92, specificity 0.81, positive predictive value 0.46 and negative predictive value 0.98. The septic arthritis probability has been translated into a risk score from 0 to 4 according to septic risk. For a risk score of 0, the probability of identifying a septic patient is very low (negative predictive value of 1), whereas a risk score of 4 indicates very high risk of septic arthritis (positive predictive value of 1). CONCLUSION Mid-infrared fibre evanescent wave spectroscopy could distinguish septic from non-septic synovial arthritis fluids with good performances, and showed particular usefulness in ruling out septic arthritis. Our data supports the possibility of technology transfer. TRIAL REGISTRATION ClinicalTrials.gov, http://clinicaltrials.gov, NCT02860871.
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Affiliation(s)
- Jean-David Albert
- Rheumatology Department, Centre Hospitalier Universitaire de Rennes, Rennes, France.,INSERM, Université de Rennes, INRAe, UMR 1241, Institut NUMECAN CHU Rennes, Rennes, France
| | | | - Olivia Berthoud
- Rheumatology Department, Centre Hospitalier Universitaire de Rennes, Rennes, France
| | - Claire David
- Rheumatology Department, Centre Hospitalier de Bretagne Atlantique, Vannes, France
| | - Xavier Guennoc
- Rheumatology Department, Centre Hospitalier St-Brieuc, St-brieuc, France
| | - Emmanuel Hoppe
- Rheumatology Department, Centre Hospitalier Universitaire Angers, Angers, France
| | - Sandrine Jousse-Joulin
- Rheumatology Department, Centre Hospitalier Universitaire and Inserm, LBAI, UMR1227, Brest, France
| | - Benoît Le Goff
- Rheumatology Department, Centre Hospitalier Universitaire de Nantes, Nantes, France
| | | | | | - Anne Jolivet-Gougeon
- INSERM, Université de Rennes, INRAe, UMR 1241, Institut NUMECAN CHU Rennes, Rennes, France
| | - Guillaume Coiffier
- Rheumatology Department, Centre Hospitalier Universitaire de Rennes, Rennes, France.,INSERM, Université de Rennes, INRAe, UMR 1241, Institut NUMECAN CHU Rennes, Rennes, France
| | - Olivier Loréal
- INSERM, Université de Rennes, INRAe, UMR 1241, Institut NUMECAN CHU Rennes, Rennes, France
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11
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Fourier Transform Infrared Spectroscopy in Oral Cancer Diagnosis. Int J Mol Sci 2021; 22:ijms22031206. [PMID: 33530491 PMCID: PMC7865696 DOI: 10.3390/ijms22031206] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/19/2021] [Accepted: 01/21/2021] [Indexed: 12/13/2022] Open
Abstract
Oral cancer is one of the most common cancers worldwide. Despite easy access to the oral cavity and significant advances in treatment, the morbidity and mortality rates for oral cancer patients are still very high, mainly due to late-stage diagnosis when treatment is less successful. Oral cancer has also been found to be the most expensive cancer to treat in the United States. Early diagnosis of oral cancer can significantly improve patient survival rate and reduce medical costs. There is an urgent unmet need for an accurate and sensitive molecular-based diagnostic tool for early oral cancer detection. Fourier transform infrared spectroscopy has gained increasing attention in cancer research due to its ability to elucidate qualitative and quantitative information of biochemical content and molecular-level structural changes in complex biological systems. The diagnosis of a disease is based on biochemical changes underlying the disease pathology rather than morphological changes of the tissue. It is a versatile method that can work with tissues, cells, or body fluids. In this review article, we aim to summarize the studies of infrared spectroscopy in oral cancer research and detection. It provides early evidence to support the potential application of infrared spectroscopy as a diagnostic tool for oral potentially malignant and malignant lesions. The challenges and opportunities in clinical translation are also discussed.
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12
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Theakstone AG, Rinaldi C, Butler HJ, Cameron JM, Confield LR, Rutherford SH, Sala A, Sangamnerkar S, Baker MJ. Fourier‐transform infrared spectroscopy of biofluids: A practical approach. TRANSLATIONAL BIOPHOTONICS 2021. [DOI: 10.1002/tbio.202000025] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Affiliation(s)
- Ashton G. Theakstone
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
| | - Christopher Rinaldi
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
| | | | | | - Lily Rose Confield
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
- CDT Medical Devices, Department of Biomedical Engineering Wolfson Centre Glasgow UK
| | - Samantha H. Rutherford
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
| | - Alexandra Sala
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
- ClinSpec Diagnostics Ltd, Royal College Building Glasgow UK
| | - Sayali Sangamnerkar
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
| | - Matthew J. Baker
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
- ClinSpec Diagnostics Ltd, Royal College Building Glasgow UK
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13
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Cameron JM, Conn JJA, Rinaldi C, Sala A, Brennan PM, Jenkinson MD, Caldwell H, Cinque G, Syed K, Butler HJ, Hegarty MG, Palmer DS, Baker MJ. Interrogation of IDH1 Status in Gliomas by Fourier Transform Infrared Spectroscopy. Cancers (Basel) 2020; 12:E3682. [PMID: 33302429 PMCID: PMC7762605 DOI: 10.3390/cancers12123682] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 11/23/2020] [Accepted: 12/04/2020] [Indexed: 12/12/2022] Open
Abstract
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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Affiliation(s)
- James M. Cameron
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George St., Glasgow G1 1RD, UK; (J.M.C.); (C.R.); (A.S.)
- ClinSpec Diagnostics, Technology and Innovation Centre, University of Strathclyde, 99 George St., Glasgow G1 1RD, UK; (J.J.A.C.); (H.J.B.); (M.G.H.); (D.S.P.)
| | - Justin J. A. Conn
- ClinSpec Diagnostics, Technology and Innovation Centre, University of Strathclyde, 99 George St., Glasgow G1 1RD, UK; (J.J.A.C.); (H.J.B.); (M.G.H.); (D.S.P.)
| | - Christopher Rinaldi
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George St., Glasgow G1 1RD, UK; (J.M.C.); (C.R.); (A.S.)
| | - Alexandra Sala
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George St., Glasgow G1 1RD, UK; (J.M.C.); (C.R.); (A.S.)
| | - Paul M. Brennan
- Department of Clinical Neurosciences, Translational Neurosurgery, Western General Hospital, Edinburgh EH4 2XU, UK;
| | - Michael D. Jenkinson
- Institute of Systems, Molecular and Integrated Biology, University of Liverpool & The Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, Liverpool L9 7LJ, UK;
| | - Helen Caldwell
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Division of Pathology, Western General Hospital, Crewe Road South, Edinburgh EH4 2XR, UK;
| | - Gianfelice Cinque
- Diamond Light Source, Harwell Science and Innovation Campus, Chilton, Oxfordshire OX11 0DE, UK;
| | - Khaja Syed
- Walton Research Tissue Bank, Neurosciences Laboratories, The Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, Liverpool L9 7LJ, UK;
| | - Holly J. Butler
- ClinSpec Diagnostics, Technology and Innovation Centre, University of Strathclyde, 99 George St., Glasgow G1 1RD, UK; (J.J.A.C.); (H.J.B.); (M.G.H.); (D.S.P.)
| | - Mark G. Hegarty
- ClinSpec Diagnostics, Technology and Innovation Centre, University of Strathclyde, 99 George St., Glasgow G1 1RD, UK; (J.J.A.C.); (H.J.B.); (M.G.H.); (D.S.P.)
| | - David S. Palmer
- ClinSpec Diagnostics, Technology and Innovation Centre, University of Strathclyde, 99 George St., Glasgow G1 1RD, UK; (J.J.A.C.); (H.J.B.); (M.G.H.); (D.S.P.)
- WestCHEM, Department of Pure and Applied Chemistry, Thomas Graham Building, University of Strathclyde, 295 Cathedral Str., Glasgow G1 1XL, UK
| | - Matthew J. Baker
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George St., Glasgow G1 1RD, UK; (J.M.C.); (C.R.); (A.S.)
- ClinSpec Diagnostics, Technology and Innovation Centre, University of Strathclyde, 99 George St., Glasgow G1 1RD, UK; (J.J.A.C.); (H.J.B.); (M.G.H.); (D.S.P.)
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14
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Abstract
State of the art of quantitative Vibrational Spectroscopic analysis of human blood serum is reviewed. Technical considerations for infrared absorption and Raman analysis are discussed. Quantitative analyses of Endogenous and Exogenous constituents are presented. The potential for clinical translation of spectroscopic serology is argued.
Analysis of bodily fluids using vibrational spectroscopy has attracted increasing attention in recent years. In particular, infrared spectroscopic screening of blood products, particularly blood serum, for disease diagnostics has been advanced considerably, attracting commercial interests. However, analyses requiring quantification of endogenous constituents or exogenous agents in blood are less well advanced. Recent advances towards this end are reviewed, focussing on infrared and Raman spectroscopic analyses of human blood serum. The importance of spectroscopic analysis in the native aqueous environment is highlighted, and the relative merits of infrared absorption versus Raman spectroscopy are considered, in this context. It is argued that Raman spectroscopic analysis is more suitable to quantitative analysis in liquid samples, and superior performance for quantification of high and low molecular weight components, is demonstrated. Applications for quantitation of viral loads, and therapeutic drug monitoring are also discussed.
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15
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Spectrochemical analysis in blood plasma combined with subsequent chemometrics for fibromyalgia detection. Sci Rep 2020; 10:11769. [PMID: 32678231 PMCID: PMC7366631 DOI: 10.1038/s41598-020-68781-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 07/01/2020] [Indexed: 12/11/2022] Open
Abstract
Fibromyalgia is a rheumatologic condition characterized by multiple and chronic body pain, and other typical symptoms such as intense fatigue, anxiety and depression. It is a very complex disease where treatment is often made by non-medicated alternatives in order to alleviate symptoms and improve the patient’s quality of life. Herein, we propose a method to detect patients with fibromyalgia (n = 252, 126 controls and 126 patients with fibromyalgia) through the analysis of their blood plasma using attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy in conjunction with chemometric techniques, hence, providing a low-cost, fast and accurate diagnostic approach. Different chemometric algorithms were tested to classify the spectral data; genetic algorithm with linear discriminant analysis (GA-LDA) achieved the best diagnostic results with a sensitivity of 89.5% in an external test set. The GA-LDA model identified 24 spectral wavenumbers responsible for class separation; amongst these, the Amide II (1,545 cm−1) and proteins (1,425 cm−1) were identified to be discriminant features. These results reinforce the potential of ATR-FTIR spectroscopy with multivariate analysis as a new tool to screen and detect patients with fibromyalgia in a fast, low-cost, non-destructive and minimally invasive fashion.
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16
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Anderson DJ, Anderson RG, Moug SJ, Baker MJ. Liquid biopsy for cancer diagnosis using vibrational spectroscopy: systematic review. BJS Open 2020; 4:554-562. [PMID: 32424976 PMCID: PMC7397350 DOI: 10.1002/bjs5.50289] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 03/23/2020] [Indexed: 02/06/2023] Open
Abstract
Background Vibrational spectroscopy (VS) is a minimally invasive tool for analysing biological material to detect disease. This study aimed to review its application to human blood for cancer diagnosis. Methods A systematic review was undertaken using a keyword electronic database search (MEDLINE, Embase, PubMed, TRIP and Cochrane Library), with all original English‐language manuscripts examining the use of vibrational spectral analysis of human blood for cancer detection. Studies involving fewer than 75 patients in the cancer or control group, animal studies, or where the primary analyte was not blood were excluded. Results From 1446 results, six studies (published in 2010–2018) examining brain, bladder, oral, breast, oesophageal and hepatic cancer met the criteria for inclusion, with a total population of 2392 (1316 cancer, 1076 control; 1476 men, 916 women). For cancer detection, reported mean sensitivities in each included study ranged from 79·3 to 98 per cent, with specificities of 82·8–95 per cent and accuracies between 81·1 and 97·1 per cent. Heterogeneity in reporting strategies, methods and outcome measures made meta‐analysis inappropriate. Conclusion VS shows high potential for cancer diagnosis, but until there is agreement on uniform standard reporting methods and studies with adequate sample size for valid classification models have been performed, its value in clinical practice will remain uncertain.
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Affiliation(s)
- D J Anderson
- WestCHEM, Department of Pure and Applied Chemistry, Glasgow, UK.,Clinical Research Unit, Royal Alexandra Hospital, NHS Greater Glasgow and Clyde, Paisley, UK
| | - R G Anderson
- Clinical Research Unit, Royal Alexandra Hospital, NHS Greater Glasgow and Clyde, Paisley, UK
| | - S J Moug
- Clinical Research Unit, Royal Alexandra Hospital, NHS Greater Glasgow and Clyde, Paisley, UK
| | - M J Baker
- WestCHEM, Department of Pure and Applied Chemistry, Glasgow, UK.,ClinSpec Diagnostics, Technology and Innovation Centre, University of Strathclyde, Glasgow, UK
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17
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Biofluid diagnostics by FTIR spectroscopy: A platform technology for cancer detection. Cancer Lett 2020; 477:122-130. [DOI: 10.1016/j.canlet.2020.02.020] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 01/31/2020] [Accepted: 02/14/2020] [Indexed: 12/19/2022]
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18
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An FTIR Microspectroscopy Ratiometric Approach for Monitoring X-ray Irradiation Effects on SH-SY5Y Human Neuroblastoma Cells. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10082974] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The ability of Fourier transform infrared (FTIR) spectroscopy in analyzing cells at a molecular level was exploited for investigating the biochemical changes induced in protein, nucleic acid, lipid, and carbohydrate content of cells after irradiation by graded X-ray doses. Infrared spectra from in vitro SH-SY5Y neuroblastoma cells following exposure to X-rays (0, 2, 4, 6, 8, 10 Gy) were analyzed using a ratiometric approach by evaluating the ratios between the absorbance of significant peaks. The spectroscopic investigation was performed on cells fixed immediately (t0 cells) and 24 h (t24 cells) after irradiation to study both the initial radiation-induced damage and the effect of the ensuing cellular repair processes. The analysis of infrared spectra allowed us to detect changes in proteins, lipids, and nucleic acids attributable to X-ray exposure. The ratiometric analysis was able to quantify changes for the protein, lipid, and DNA components and to suggest the occurrence of apoptosis processes. The ratiometric study of Amide I band indicated also that the secondary structure of proteins was significantly modified. The comparison between the results from t0 and t24 cells indicated the occurrence of cellular recovery processes. The adopted approach can provide a very direct way to monitor changes for specific cellular components and can represent a valuable tool for developing innovative strategies to monitor cancer radiotherapy outcome.
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19
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Cameron JM, Butler HJ, Smith BR, Hegarty MG, Jenkinson MD, Syed K, Brennan PM, Ashton K, Dawson T, Palmer DS, Baker MJ. Developing infrared spectroscopic detection for stratifying brain tumour patients: glioblastoma multiforme vs. lymphoma. Analyst 2020; 144:6736-6750. [PMID: 31612875 DOI: 10.1039/c9an01731c] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Over a third of brain tumour patients visit their general practitioner more than five times prior to diagnosis in the UK, leading to 62% of patients being diagnosed as emergency presentations. Unfortunately, symptoms are non-specific to brain tumours, and the majority of these patients complain of headaches on multiple occasions before being referred to a neurologist. As there are currently no methods in place for the early detection of brain cancer, the affected patients' average life expectancy is reduced by 20 years. These statistics indicate that the current pathway is ineffective, and there is a vast need for a rapid diagnostic test. Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy is sensitive to the hallmarks of cancer, as it analyses the full range of macromolecular classes. The combination of serum spectroscopy and advanced data analysis has previously been shown to rapidly and objectively distinguish brain tumour severity. Recently, a novel high-throughput ATR accessory has been developed, which could be cost-effective to the National Health Service in the UK, and valuable for clinical translation. In this study, 765 blood serum samples have been collected from healthy controls and patients diagnosed with various types of brain cancer, contributing to one of the largest spectroscopic studies to date. Three robust machine learning techniques - random forest, partial least squares-discriminant analysis and support vector machine - have all provided promising results. The novel high-throughput technology has been validated by separating brain cancer and non-cancer with balanced accuracies of 90% which is comparable to the traditional fixed diamond crystal methodology. Furthermore, the differentiation of brain tumour type could be useful for neurologists, as some are difficult to distinguish through medical imaging alone. For example, the highly aggressive glioblastoma multiforme and primary cerebral lymphoma can appear similar on magnetic resonance imaging (MRI) scans, thus are often misdiagnosed. Here, we report the ability of infrared spectroscopy to distinguish between glioblastoma and lymphoma patients, at a sensitivity and specificity of 90.1% and 86.3%, respectively. A reliable serum diagnostic test could avoid the need for surgery and speed up time to definitive chemotherapy and radiotherapy.
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Affiliation(s)
- James M Cameron
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George St, Glasgow, G1 1RD, UK.
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20
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Beć KB, Grabska J, Huck CW. Biomolecular and bioanalytical applications of infrared spectroscopy - A review. Anal Chim Acta 2020; 1133:150-177. [PMID: 32993867 DOI: 10.1016/j.aca.2020.04.015] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 04/05/2020] [Accepted: 04/06/2020] [Indexed: 12/11/2022]
Abstract
Infrared (IR; or mid-infrared, MIR; 4000-400 cm-1; 2500-25,000 nm) spectroscopy has become one of the most powerful and versatile tools at the disposal of modern bioscience. Because of its high molecular specificity, applicability to wide variety of samples, rapid measurement and non-invasivity, IR spectroscopy forms a potent approach to elucidate qualitative and quantitative information from various kinds of biological material. For these reasons, it became an established bioanalytical technique with diverse applications. This work aims to be a comprehensive and critical review of the recent accomplishments in the field of biomolecular and bioanalytical IR spectroscopy. That progress is presented on a wider background, with fundamental characteristics, the basic principles of the technique outlined, and its scientific capability directly compared with other methods being used in similar fields (e.g. near-infrared, Raman, fluorescence). The article aims to present a complete examination of the topic, as it touches the background phenomena, instrumentation, spectra processing and data analytical methods, spectra interpretation and related information. To suit this goal, the article includes a tutorial information essential to obtain a thorough perspective of bio-related applications of the reviewed methodologies. The importance of the fundamental factors to the final performance and applicability of IR spectroscopy in various areas of bioscience is explained. This information is interpreted in critical way, with aim to gain deep understanding why IR spectroscopy finds extraordinarily intensive use in this remarkably diverse and dynamic field of research and utility. The major focus is placed on the diversity of the applications in which IR biospectroscopy has been established so far and those onto which it is expanding nowadays. This includes qualitative and quantitative analytical spectroscopy, spectral imaging, medical diagnosis, monitoring of biophysical processes, and studies of physicochemical properties and dynamics of biomolecules. The application potential of IR spectroscopy in light of the current accomplishments and the future prospects is critically evaluated and its significance in the progress of bioscience is comprehensively presented.
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Affiliation(s)
- Krzysztof B Beć
- Institute of Analytical Chemistry and Radiochemistry, Center for Chemistry and Biomedicine, University of Innsbruck, Innrain 80/82, A-6020, Innsbruck, Austria.
| | - Justyna Grabska
- Institute of Analytical Chemistry and Radiochemistry, Center for Chemistry and Biomedicine, University of Innsbruck, Innrain 80/82, A-6020, Innsbruck, Austria
| | - Christian W Huck
- Institute of Analytical Chemistry and Radiochemistry, Center for Chemistry and Biomedicine, University of Innsbruck, Innrain 80/82, A-6020, Innsbruck, Austria.
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21
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Interference of hemolysis, hyperlipidemia, and icterus on plasma infrared spectral profile. Anal Bioanal Chem 2019; 412:805-810. [DOI: 10.1007/s00216-019-02312-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 11/28/2019] [Indexed: 10/25/2022]
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22
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Lovergne L, Lovergne J, Bouzy P, Untereiner V, Offroy M, Garnotel R, Thiéfin G, Baker MJ, Sockalingum GD. Investigating pre-analytical requirements for serum and plasma based infrared spectro-diagnostic. JOURNAL OF BIOPHOTONICS 2019; 12:e201900177. [PMID: 31276294 DOI: 10.1002/jbio.201900177] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 07/02/2019] [Accepted: 07/04/2019] [Indexed: 06/09/2023]
Abstract
Infrared spectroscopy is a rapid, easy-to-operate, label-free and therefore cost-effective technique. Many studies performed on biofluids (eg, serum, plasma, urine, sputum, bile and cerebrospinal fluid) have demonstrated its promising application as a clinical diagnostic tool. Given all these characteristics, infrared spectroscopy appears to be an ideal candidate to be implemented into the clinics. However, before considering its translation, a clear effort is needed to standardise protocols for biofluid spectroscopic analysis. To reach this goal, careful investigations to identify and track errors that can occur during the pre-analytical phase is a crucial step. Here, we report for the first time, results of investigations into pre-analytical factors that can affect the quality of the spectral data acquired on serum and plasma, such as the impact of long-term freezing time storage of samples as well as the month-to-month reproducibility of the spectroscopic analysis. The spectral data discrimination has revealed to be majorly impacted by a residual water content variation in serum and plasma dried samples.
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Affiliation(s)
- Lila Lovergne
- Université de Reims Champagne-Ardenne, BioSpecT EA7506, UFR de Pharmacie, Reims, France
- WESTChem, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, UK
| | - Jean Lovergne
- WESTChem, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, UK
| | - Pascaline Bouzy
- Université de Reims Champagne-Ardenne, BioSpecT EA7506, UFR de Pharmacie, Reims, France
| | - Valérie Untereiner
- Université de Reims Champagne-Ardenne, BioSpecT EA7506, UFR de Pharmacie, Reims, France
- Université de Reims Champagne-Ardenne, Plateforme en Imagerie Cellulaire et Tissulaire (PICT), Reims, France
| | - Marc Offroy
- Université de Reims Champagne-Ardenne, BioSpecT EA7506, UFR de Pharmacie, Reims, France
| | - Roselyne Garnotel
- Université de Reims Champagne-Ardenne, BioSpecT EA7506, UFR de Pharmacie, Reims, France
- CHU de Reims, Hôpital Maison Blanche, Laboratoire de Biochimie-Pharmacologie-Toxicologie, Reims, France
| | - Gérard Thiéfin
- Université de Reims Champagne-Ardenne, BioSpecT EA7506, UFR de Pharmacie, Reims, France
- CHU de Reims, Hôpital Robert Debré, Service d'hépato- Gastroentérologie, Reims, France
| | - Matthew J Baker
- WESTChem, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, UK
| | - Ganesh D Sockalingum
- Université de Reims Champagne-Ardenne, BioSpecT EA7506, UFR de Pharmacie, Reims, France
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23
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Huang J, Ramoji A, Guo S, Bocklitz T, Boivin-Jahns V, Möller J, Kiehntopf M, Noutsias M, Popp J, Neugebauer U. Vibrational spectroscopy as a powerful tool for follow-up immunoadsorption therapy treatment of dilated cardiomyopathy - a case report. Analyst 2019; 145:486-496. [PMID: 31781708 DOI: 10.1039/c9an01696a] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Dilated cardiomyopathy (DCM) is a leading cardiomyopathy condition and is the leading reason for heart transplantation. Due to high etiologic and genetic heterogeneity of the pathologies, different therapeutic treatment strategies are available and have been successful for different treatments. Immunoadsorption (IA) therapy removes the circulating anticardiac antibodies and improves the left ventricular function in substantial proportion of DCM patients. Powerful, non-invasive analytical tools are highly desired to investigate the efficiency and success of IA therapy. In this contribution, we followed the changes of a female DCM patient undergoing IA therapy at different treatment time points in a label-free, non-invasive manner from blood samples (plasma and serum) on the basis of vibrational spectroscopy (Raman scattering and IR absorption). Chemometric methods, including dimension reduction and statistical modeling, were used to interpret spectral data. The impact of different time points of the IA treatment can be identified in both the plasma and serum, using both techniques, with high accuracy. The removal of antibodies of immunoglobulin G (IgG) group during IA therapy and their restoration was reflected in both Raman and FTIR spectra. Relative changes in the spectral bands assigned to IgG agreed well with the immunoturbidimetry measurement of total IgG. Successful clinical treatment was accompanied by spectral differences between vibrational spectra obtained at initial disease state and 11 months after the IA treatment. The long-term follow-up of the patient reveals the stabilization of the health state after therapy. It is noteworthy that the treatment time points were distinguished with a better accuracy using spectra from plasma compared to those from serum samples, which might indicate the involvement of corresponding proteins in the coagulation. Vibrational spectroscopy is a powerful tool for personalized medicine to follow-up the treatment success of IA therapy for the DCM disorder.
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Affiliation(s)
- Jing Huang
- Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, Friedrich-Schiller University, D-07743, Jena, Germany. and Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, D-07745 Jena, Germany and Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, D-07747 Jena, Germany
| | - Anuradha Ramoji
- Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, Friedrich-Schiller University, D-07743, Jena, Germany. and Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, D-07745 Jena, Germany and Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, D-07747 Jena, Germany
| | - Shuxia Guo
- Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, Friedrich-Schiller University, D-07743, Jena, Germany. and Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, D-07745 Jena, Germany
| | - Thomas Bocklitz
- Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, Friedrich-Schiller University, D-07743, Jena, Germany. and Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, D-07745 Jena, Germany
| | - Valérie Boivin-Jahns
- Institute of Pharmacology and Toxicology, University of Würzburg, Versbacher Str. 9, 97078 Würzburg, Germany
| | - Jan Möller
- Institute of Pharmacology and Toxicology, University of Würzburg, Versbacher Str. 9, 97078 Würzburg, Germany and Max-Delbrück-Centrum für Molekulare Medizin, Robert-Rössle-Str. 10, 13125 Berlin, Germany
| | - Michael Kiehntopf
- Institute of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, Am Klinikum 1, D-07747 Jena, Germany
| | - Michel Noutsias
- Mid-German Heart Center, Department of Internal Medicine III (KIM-III), Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Halle, Martin-Luther-University Halle, Ernst-Grube-Strasse 40, D-06120 Halle (Saale), Germany and Department of Cardiology - Internal Medicine, Jena University Hospital, Am Klinikum 1, D-07747 Jena, Germany
| | - Jürgen Popp
- Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, Friedrich-Schiller University, D-07743, Jena, Germany. and Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, D-07745 Jena, Germany and Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, D-07747 Jena, Germany and Mid-German Heart Center, Department of Internal Medicine III (KIM-III), Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Halle, Martin-Luther-University Halle, Ernst-Grube-Strasse 40, D-06120 Halle (Saale), Germany and InfectoGnostics Research Campus Jena, Centre of Applied Research, Philosophenweg 7, D-07743 Jena, Germany
| | - Ute Neugebauer
- Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, Friedrich-Schiller University, D-07743, Jena, Germany. and Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, D-07745 Jena, Germany and Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, D-07747 Jena, Germany and Mid-German Heart Center, Department of Internal Medicine III (KIM-III), Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Halle, Martin-Luther-University Halle, Ernst-Grube-Strasse 40, D-06120 Halle (Saale), Germany and InfectoGnostics Research Campus Jena, Centre of Applied Research, Philosophenweg 7, D-07743 Jena, Germany
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24
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Butler HJ, Brennan PM, Cameron JM, Finlayson D, Hegarty MG, Jenkinson MD, Palmer DS, Smith BR, Baker MJ. Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer. Nat Commun 2019; 10:4501. [PMID: 31594931 PMCID: PMC6783469 DOI: 10.1038/s41467-019-12527-5] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 09/16/2019] [Indexed: 12/22/2022] Open
Abstract
Non-specific symptoms, as well as the lack of a cost-effective test to triage patients in primary care, has resulted in increased time-to-diagnosis and a poor prognosis for brain cancer patients. A rapid, cost-effective, triage test could significantly improve this patient pathway. A blood test using attenuated total reflection (ATR)-Fourier transform infrared (FTIR) spectroscopy for the detection of brain cancer, alongside machine learning technology, is advancing towards clinical translation. However, whilst the methodology is simple and does not require extensive sample preparation, the throughput of such an approach is limited. Here we describe the development of instrumentation for the analysis of serum that is able to differentiate cancer and control patients at a sensitivity and specificity of 93.2% and 92.8%. Furthermore, preliminary data from the first prospective clinical validation study of its kind are presented, demonstrating how this innovative technology can triage patients and allow rapid access to imaging.
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Affiliation(s)
- Holly J Butler
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK. .,ClinSpec Diagnostics Limited, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.
| | - Paul M Brennan
- Translational Neurosurgery, Department of Clinical Neurosciences, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - James M Cameron
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK
| | - Duncan Finlayson
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK
| | - Mark G Hegarty
- ClinSpec Diagnostics Limited, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK
| | - Michael D Jenkinson
- Institute of Translational Medicine, University of Liverpool & The Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, Liverpool, L9 7LJ, UK
| | - David S Palmer
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.,ClinSpec Diagnostics Limited, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK
| | - Benjamin R Smith
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK
| | - Matthew J Baker
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK. .,ClinSpec Diagnostics Limited, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.
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25
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Abstract
Fourier transform-infrared spectroscopy (FT-IR) represents an attractive molecular diagnostic modality for translation to the clinic, where comprehensive chemical profiling of biological samples may revolutionize a myriad of pathways in clinical settings. Principally, FT-IR provides a rapid, cost-effective platform to obtain a molecular fingerprint of clinical samples based on vibrational transitions of chemical bonds upon interaction with infrared light. To date, considerable research activities have demonstrated competitive to superior performance of FT-IR strategies in comparison to conventional techniques, with particular promise for earlier, accessible disease diagnostics, thereby improving patient outcomes. However, amidst the changing healthcare landscape in times of aging populations and increased prevalence of cancer and chronic disease, routine adoption of FT-IR within clinical laboratories has remained elusive. Hence, this perspective shall outline the significant clinical potential of FT-IR diagnostics and subsequently address current barriers to translation from the perspective of all stakeholders, in the context of biofluid, histopathology, cytology, microbiology, and biomarker discovery frameworks. Thereafter, future perspectives of FT-IR for healthcare will be discussed, with consideration of recent technological advances that may facilitate future clinical translation.
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Affiliation(s)
- Duncan Finlayson
- Centre for Doctoral Training in Medical Devices and Health Technologies, Department of Biomedical Engineering , University of Strathclyde , Wolfson Centre, 106 Rottenrow , Glasgow G4 0NW , U.K.,WestCHEM , Department of Pure and Applied Chemistry , Technology and Innovation Centre, 99 George Street , Glasgow G1 1RD , U.K
| | - Christopher Rinaldi
- Centre for Doctoral Training in Medical Devices and Health Technologies, Department of Biomedical Engineering , University of Strathclyde , Wolfson Centre, 106 Rottenrow , Glasgow G4 0NW , U.K.,WestCHEM , Department of Pure and Applied Chemistry , Technology and Innovation Centre, 99 George Street , Glasgow G1 1RD , U.K
| | - Matthew J Baker
- WestCHEM , Department of Pure and Applied Chemistry , Technology and Innovation Centre, 99 George Street , Glasgow G1 1RD , U.K.,ClinSpec Diagnostics Ltd. , Technology and Innovation Centre, 99 George Street , Glasgow G11RD , U.K
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26
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Zhang Z, Lin H, Li Z, Luo Y, Wang L, Chen L, Huang P. Identification of fatal hypothermia via attenuated total reflection Fourier transform infrared spectroscopy of rabbit vitreous humour. AUST J FORENSIC SCI 2019. [DOI: 10.1080/00450618.2019.1629021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Zhong Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
- Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot, China
| | - Hancheng Lin
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Zhengdong Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Yiwen Luo
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Lei Wang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Liqin Chen
- Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot, China
| | - Ping Huang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
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27
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Morais CLM, Paraskevaidi M, Cui L, Fullwood NJ, Isabelle M, Lima KMG, Martin-Hirsch PL, Sreedhar H, Trevisan J, Walsh MJ, Zhang D, Zhu YG, Martin FL. Standardization of complex biologically derived spectrochemical datasets. Nat Protoc 2019; 14:1546-1577. [PMID: 30953040 DOI: 10.1038/s41596-019-0150-x] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 02/12/2019] [Indexed: 12/17/2022]
Abstract
Spectroscopic techniques such as Fourier-transform infrared (FTIR) spectroscopy are used to study interactions of light with biological materials. This interaction forms the basis of many analytical assays used in disease screening/diagnosis, microbiological studies, and forensic/environmental investigations. Advantages of spectrochemical analysis are its low cost, minimal sample preparation, non-destructive nature and substantially accurate results. However, an urgent need exists for repetition and validation of these methods in large-scale studies and across different research groups, which would bring the method closer to clinical and/or industrial implementation. For this to succeed, it is important to understand and reduce the effect of random spectral alterations caused by inter-individual, inter-instrument and/or inter-laboratory variations, such as variations in air humidity and CO2 levels, and aging of instrument parts. Thus, it is evident that spectral standardization is critical to the widespread adoption of these spectrochemical technologies. By using calibration transfer procedures, in which the spectral response of a secondary instrument is standardized to resemble the spectral response of a primary instrument, different sources of variation can be normalized into a single model using computational-based methods, such as direct standardization (DS) and piecewise direct standardization (PDS); therefore, measurements performed under different conditions can generate the same result, eliminating the need for a full recalibration. Here, we have constructed a protocol for model standardization using different transfer technologies described for FTIR spectrochemical applications. This is a critical step toward the construction of a practical spectrochemical analysis model for daily routine analysis, where uncertain and random variations are present.
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Affiliation(s)
- Camilo L M Morais
- School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
| | - Maria Paraskevaidi
- School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
| | - Li Cui
- Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
| | - Nigel J Fullwood
- Division of Biomedical and Life Sciences, Faculty of Health and Medicine, Lancaster University, Lancaster, UK
| | - Martin Isabelle
- Spectroscopy Products Division, Renishaw plc., New Mills, Wotton-under-Edge, UK
| | - Kássio M G Lima
- Institute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Pierre L Martin-Hirsch
- Department of Obstetrics and Gynaecology, Lancashire Teaching Hospitals NHS Foundation, Preston, UK
| | - Hari Sreedhar
- Department of Pathology, University of Illinois at Chicago, Chicago, IL, USA
| | - Júlio Trevisan
- Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, Brazil
| | - Michael J Walsh
- Department of Pathology, University of Illinois at Chicago, Chicago, IL, USA
| | - Dayi Zhang
- School of Environment, Tsinghua University, Beijing, China
| | - Yong-Guan Zhu
- Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
| | - Francis L Martin
- School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
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28
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Portaccio M, d’Apuzzo F, Perillo L, Grassia V, Errico S, Lepore M. Infrared microspectroscopy characterization of gingival crevicular fluid during orthodontic treatment. J Mol Struct 2019. [DOI: 10.1016/j.molstruc.2018.09.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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29
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Leal L, Nogueira M, Canevari R, Carvalho L. Vibration spectroscopy and body biofluids: Literature review for clinical applications. Photodiagnosis Photodyn Ther 2018; 24:237-244. [DOI: 10.1016/j.pdpdt.2018.09.008] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 09/03/2018] [Accepted: 09/17/2018] [Indexed: 12/19/2022]
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30
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Gray E, Butler HJ, Board R, Brennan PM, Chalmers AJ, Dawson T, Goodden J, Hamilton W, Hegarty MG, James A, Jenkinson MD, Kernick D, Lekka E, Livermore LJ, Mills SJ, O'Neill K, Palmer DS, Vaqas B, Baker MJ. Health economic evaluation of a serum-based blood test for brain tumour diagnosis: exploration of two clinical scenarios. BMJ Open 2018; 8:e017593. [PMID: 29794088 PMCID: PMC5988134 DOI: 10.1136/bmjopen-2017-017593] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVES To determine the potential costs and health benefits of a serum-based spectroscopic triage tool for brain tumours, which could be developed to reduce diagnostic delays in the current clinical pathway. DESIGN A model-based health pre-trial economic assessment. Decision tree models were constructed based on simplified diagnostic pathways. Models were populated with parameters identified from rapid reviews of the literature and clinical expert opinion. SETTING Explored as a test in both primary and secondary care (neuroimaging) in the UK health service, as well as application to the USA. PARTICIPANTS Calculations based on an initial cohort of 10 000 patients. In primary care, it is estimated that the volume of tests would approach 75 000 per annum. The volume of tests in secondary care is estimated at 53 000 per annum. MAIN OUTCOME MEASURES The primary outcome measure was quality-adjusted life-years (QALY), which were employed to derive incremental cost-effectiveness ratios (ICER) in a cost-effectiveness analysis. RESULTS Results indicate that using a blood-based spectroscopic test in both scenarios has the potential to be highly cost-effective in a health technology assessment agency decision-making process, as ICERs were well below standard threshold values of £20 000-£30 000 per QALY. This test may be cost-effective in both scenarios with test sensitivities and specificities as low as 80%; however, the price of the test would need to be lower (less than approximately £40). CONCLUSION Use of this test as triage tool in primary care has the potential to be both more effective and cost saving for the health service. In secondary care, this test would also be deemed more effective than the current diagnostic pathway.
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Affiliation(s)
- Ewan Gray
- Health Improvement Scotland, Glasgow, UK
| | - Holly J Butler
- Department of Pure and Applied Chemistry, University of Strathclyde Technology and Innovation Centre, Glasgow, UK
- ClinSpec Diagnostics Limited, University of Strathlcyde, Technology and Innovation Centre, Glasgow, UK
| | - Ruth Board
- Rosemere Cancer Centre, Lancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Preston, UK
| | - Paul M Brennan
- Department of Clinical Neurosciences, Western General Hospital, Edinburgh, UK
| | - Anthony J Chalmers
- Beatson West of Scotland Cancer Centre, Glasgow, UK
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, UK
| | - Timothy Dawson
- Neurosurgery Department, Lancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Preston, UK
| | - John Goodden
- Neurosurgery Department, Leeds General Infirmary, Leeds, UK
| | - Willie Hamilton
- Primary Care Diagnostics, University of Exeter Medical School, College House, University of Exeter, Exeter, UK
| | - Mark G Hegarty
- Department of Pure and Applied Chemistry, University of Strathclyde Technology and Innovation Centre, Glasgow, UK
- ClinSpec Diagnostics Limited, University of Strathlcyde, Technology and Innovation Centre, Glasgow, UK
| | - Allan James
- Institute of Molecular Cell and Systems Biology, Glasgow, UK
| | - Michael D Jenkinson
- Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
- Institute of Translational Medicine, Clinical Science Centre, University of Liverpool, Liverpool, UK
| | | | - Elvira Lekka
- Neurosurgery Department, Lancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Preston, UK
| | - Laurent J Livermore
- Department of Neurosurgery, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Samantha J Mills
- Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Kevin O'Neill
- John Fulcher Neuro-Oncology Laboratory, Imperial College, London, UK
| | - David S Palmer
- ClinSpec Diagnostics Limited, University of Strathlcyde, Technology and Innovation Centre, Glasgow, UK
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow, UK
| | - Babar Vaqas
- John Fulcher Neuro-Oncology Laboratory, Imperial College, London, UK
| | - Matthew J Baker
- Department of Pure and Applied Chemistry, University of Strathclyde Technology and Innovation Centre, Glasgow, UK
- ClinSpec Diagnostics Limited, University of Strathlcyde, Technology and Innovation Centre, Glasgow, UK
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31
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Cameron JM, Butler HJ, Palmer DS, Baker MJ. Biofluid spectroscopic disease diagnostics: A review on the processes and spectral impact of drying. JOURNAL OF BIOPHOTONICS 2018; 11:e201700299. [PMID: 29377638 DOI: 10.1002/jbio.201700299] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 01/18/2018] [Indexed: 06/07/2023]
Abstract
The complex patterns observed from evaporated liquid drops have been examined extensively over the last 20 years. Complete understanding of drop deposition is vital in many medical processes, and one which is essential to the translation of biofluid spectroscopic disease diagnostics. The promising use of spectroscopy in disease diagnosis has been hindered by the complicated patterns left by dried biological fluids which may inhibit the clinical translation of this technology. Coffee-ring formation, cracking and gelation patterns have all been observed in biofluid drops, and with surface homogeneity being a key element to many spectroscopic techniques, experimental issues have been found to arise. A better understanding of the fundamental processes involved in a drying droplet could allow efficient progression in this research field, and ultimately benefit the population with the development of a reliable cancer diagnostic.
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Affiliation(s)
- James M Cameron
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, UK
| | - Holly J Butler
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, UK
| | - David S Palmer
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow, UK
| | - Matthew J Baker
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, UK
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32
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Wrobel TP, Bhargava R. Infrared Spectroscopic Imaging Advances as an Analytical Technology for Biomedical Sciences. Anal Chem 2018; 90:1444-1463. [PMID: 29281255 PMCID: PMC6421863 DOI: 10.1021/acs.analchem.7b05330] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Tomasz P. Wrobel
- Beckman Institute for Advanced Science and Technology, Urbana, Illinois 61801, United States
| | - Rohit Bhargava
- Beckman Institute for Advanced Science and Technology, Urbana, Illinois 61801, United States
- Departments of Bioengineering, Electrical and Computer Engineering, Mechanical Science and Engineering, Chemical and Biomolecular Engineering, and Chemistry, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States
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33
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Jenkins CA, Jenkins RA, Pryse MM, Welsby KA, Jitsumura M, Thornton CA, Dunstan PR, Harris DA. A high-throughput serum Raman spectroscopy platform and methodology for colorectal cancer diagnostics. Analyst 2018; 143:6014-6024. [DOI: 10.1039/c8an01323c] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Translating Raman spectroscopy for colorectal cancer diagnosis with a focus on high-throughput design, inter-user variability and sample handling considerations.
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Affiliation(s)
- Cerys A. Jenkins
- Swansea University Medical School
- Institute of Life Science 1
- Swansea University
- Swansea
- UK
| | - Rhys A. Jenkins
- Department of Physics
- Centre for Nanohealth
- Swansea University
- Swansea
- UK
| | - Meleri M. Pryse
- Department of Physics
- Centre for Nanohealth
- Swansea University
- Swansea
- UK
| | - Kathryn A. Welsby
- Department of Physics
- Centre for Nanohealth
- Swansea University
- Swansea
- UK
| | | | - Catherine A. Thornton
- Swansea University Medical School
- Institute of Life Science 1
- Swansea University
- Swansea
- UK
| | - Peter R. Dunstan
- Department of Physics
- Centre for Nanohealth
- Swansea University
- Swansea
- UK
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34
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d'Apuzzo F, Perillo L, Delfino I, Portaccio M, Lepore M, Camerlingo C. Monitoring early phases of orthodontic treatment by means of Raman spectroscopies. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:1-10. [PMID: 29110445 DOI: 10.1117/1.jbo.22.11.115001] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 10/12/2017] [Indexed: 05/06/2023]
Abstract
Gingival crevicular fluid (GCF) is a site-specific exudate in the gingival sulcus. GCF composition changes in response to diseases or mechanical stimuli, such as those occurring during orthodontic treatments. Raman microspectroscopy (μ-RS) and surface-enhanced Raman spectroscopy (SERS) were adopted for a GCF analysis during different initial phases of orthodontic force application. GCF samples were pooled from informed patients using paper cones. SERS spectra were obtained from GCF extracted from these cones, whereas μ-RS spectra were directly acquired on paper cones without any manipulation. The spectral characteristics of the main functional groups and the changes in cytochrome, amide III, and amide I contributions were highlighted in the different phases of orthodontic treatment with both SERS and μ-RS analysis. μ-RS directly performed on the paper cones together with proper statistical methods can offer an effective approach for the development of a tool for monitoring the processes occurring during orthodontic treatments, which may help the clinician in the choice of type of treatment individually for each patient and accelerate and improve the orthodontic therapy.
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Affiliation(s)
- Fabrizia d'Apuzzo
- Università degli Studi della Campania "Luigi Vanvitelli," Dipartimento Multidisciplinare di Speciali, Italy
| | - Letizia Perillo
- Università degli Studi della Campania "Luigi Vanvitelli," Dipartimento Multidisciplinare di Speciali, Italy
| | - Ines Delfino
- Università della Tuscia, Dipartimento di Scienze Ecologiche e Biologiche, Viterbo, Italy
| | - Marianna Portaccio
- Università degli Studi della Campania "Luigi Vanvitelli," Dipartimento di Medicina Sperimentale, Nap, Italy
| | - Maria Lepore
- Università degli Studi della Campania "Luigi Vanvitelli," Dipartimento di Medicina Sperimentale, Nap, Italy
| | - Carlo Camerlingo
- CNR-SPIN, Istituto Superconduttori, Materiali Innovativi e Dispositivi, Pozzuoli, Napoli, Italy
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