1
|
Eissa T, Leonardo C, Kepesidis KV, Fleischmann F, Linkohr B, Meyer D, Zoka V, Huber M, Voronina L, Richter L, Peters A, Žigman M. Plasma infrared fingerprinting with machine learning enables single-measurement multi-phenotype health screening. Cell Rep Med 2024; 5:101625. [PMID: 38944038 PMCID: PMC11293328 DOI: 10.1016/j.xcrm.2024.101625] [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: 10/11/2023] [Revised: 04/19/2024] [Accepted: 06/07/2024] [Indexed: 07/01/2024]
Abstract
Infrared spectroscopy is a powerful technique for probing the molecular profiles of complex biofluids, offering a promising avenue for high-throughput in vitro diagnostics. While several studies showcased its potential in detecting health conditions, a large-scale analysis of a naturally heterogeneous potential patient population has not been attempted. Using a population-based cohort, here we analyze 5,184 blood plasma samples from 3,169 individuals using Fourier transform infrared (FTIR) spectroscopy. Applying a multi-task classification to distinguish between dyslipidemia, hypertension, prediabetes, type 2 diabetes, and healthy states, we find that the approach can accurately single out healthy individuals and characterize chronic multimorbid states. We further identify the capacity to forecast the development of metabolic syndrome years in advance of onset. Dataset-independent testing confirms the robustness of infrared signatures against variations in sample handling, storage time, and measurement regimes. This study provides the framework that establishes infrared molecular fingerprinting as an efficient modality for populational health diagnostics.
Collapse
Affiliation(s)
- Tarek Eissa
- Department of Laser Physics, Ludwig Maximilian University of Munich (LMU), Garching, Germany; Laboratory for Attosecond Physics, Max Planck Institute of Quantum Optics (MPQ), Garching, Germany; School of Computation, Information and Technology, Technical University of Munich (TUM), Garching, Germany.
| | - Cristina Leonardo
- Department of Laser Physics, Ludwig Maximilian University of Munich (LMU), Garching, Germany
| | - Kosmas V Kepesidis
- Department of Laser Physics, Ludwig Maximilian University of Munich (LMU), Garching, Germany; Laboratory for Attosecond Physics, Max Planck Institute of Quantum Optics (MPQ), Garching, Germany; Center for Molecular Fingerprinting (CMF), Budapest, Hungary
| | - Frank Fleischmann
- Department of Laser Physics, Ludwig Maximilian University of Munich (LMU), Garching, Germany; Laboratory for Attosecond Physics, Max Planck Institute of Quantum Optics (MPQ), Garching, Germany
| | - Birgit Linkohr
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Daniel Meyer
- Laboratory for Attosecond Physics, Max Planck Institute of Quantum Optics (MPQ), Garching, Germany; Center for Molecular Fingerprinting (CMF), Budapest, Hungary
| | - Viola Zoka
- Department of Laser Physics, Ludwig Maximilian University of Munich (LMU), Garching, Germany; Center for Molecular Fingerprinting (CMF), Budapest, Hungary
| | - Marinus Huber
- Department of Laser Physics, Ludwig Maximilian University of Munich (LMU), Garching, Germany; Laboratory for Attosecond Physics, Max Planck Institute of Quantum Optics (MPQ), Garching, Germany
| | - Liudmila Voronina
- Department of Laser Physics, Ludwig Maximilian University of Munich (LMU), Garching, Germany
| | - Lothar Richter
- School of Computation, Information and Technology, Technical University of Munich (TUM), Garching, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; School of Public Health, Institute for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer, Ludwig Maximilian University of Munich (LMU), Munich, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Munich, Munich, Germany
| | - Mihaela Žigman
- Department of Laser Physics, Ludwig Maximilian University of Munich (LMU), Garching, Germany; Laboratory for Attosecond Physics, Max Planck Institute of Quantum Optics (MPQ), Garching, Germany.
| |
Collapse
|
2
|
Huang SH, Sartorello G, Shen PT, Xu C, Elemento O, Shvets G. Metasurface-enhanced infrared spectroscopy in multiwell format for real-time assaying of live cells. LAB ON A CHIP 2023; 23:2228-2240. [PMID: 37010356 PMCID: PMC10159923 DOI: 10.1039/d3lc00017f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Fourier transform infrared (FTIR) spectroscopy is a popular technique for the analysis of biological samples, yet its application in characterizing live cells is limited due to the strong attenuation of mid-IR light in water. Special thin flow cells and attenuated total reflection (ATR) FTIR spectroscopy have been used to mitigate this problem, but these techniques are difficult to integrate into a standard cell culture workflow. In this work, we demonstrate that the use of a plasmonic metasurface fabricated on planar substrates and the probing of cellular IR spectra through metasurface-enhanced infrared spectroscopy (MEIRS) can be an effective technique to characterize the IR spectra of live cells in a high-throughput manner. Cells are cultured on metasurfaces integrated with multiwell cell culture chambers and are probed from the bottom using an inverted FTIR micro-spectrometer. To demonstrate the use of MEIRS as a cellular assay, cellular adhesion on metasurfaces with different surface coatings and cellular response to the activation of the protease-activated receptor (PAR) signaling pathway were characterized through the changes in cellular IR spectra.
Collapse
Affiliation(s)
- Steven H Huang
- School of Applied and Engineering Physics, Cornell University, Ithaca, New York, 14853, USA.
| | - Giovanni Sartorello
- School of Applied and Engineering Physics, Cornell University, Ithaca, New York, 14853, USA.
| | - Po-Ting Shen
- School of Applied and Engineering Physics, Cornell University, Ithaca, New York, 14853, USA.
| | - Chengqi Xu
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA.
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA
| | - Olivier Elemento
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA.
| | - Gennady Shvets
- School of Applied and Engineering Physics, Cornell University, Ithaca, New York, 14853, USA.
| |
Collapse
|
3
|
Tafintseva V, Lintvedt TA, Solheim JH, Zimmermann B, Rehman HU, Virtanen V, Shaikh R, Nippolainen E, Afara I, Saarakkala S, Rieppo L, Krebs P, Fomina P, Mizaikoff B, Kohler A. Preprocessing Strategies for Sparse Infrared Spectroscopy: A Case Study on Cartilage Diagnostics. Molecules 2022; 27:873. [PMID: 35164133 PMCID: PMC8839829 DOI: 10.3390/molecules27030873] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/18/2022] [Accepted: 01/19/2022] [Indexed: 02/07/2023] Open
Abstract
The aim of the study was to optimize preprocessing of sparse infrared spectral data. The sparse data were obtained by reducing broadband Fourier transform infrared attenuated total reflectance spectra of bovine and human cartilage, as well as of simulated spectral data, comprising several thousand spectral variables into datasets comprising only seven spectral variables. Different preprocessing approaches were compared, including simple baseline correction and normalization procedures, and model-based preprocessing, such as multiplicative signal correction (MSC). The optimal preprocessing was selected based on the quality of classification models established by partial least squares discriminant analysis for discriminating healthy and damaged cartilage samples. The best results for the sparse data were obtained by preprocessing using a baseline offset correction at 1800 cm-1, followed by peak normalization at 850 cm-1 and preprocessing by MSC.
Collapse
Affiliation(s)
- Valeria Tafintseva
- Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway; (T.A.L.); (J.H.S.); (B.Z.); (H.U.R.); (A.K.)
| | - Tiril Aurora Lintvedt
- Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway; (T.A.L.); (J.H.S.); (B.Z.); (H.U.R.); (A.K.)
- Norwegian Institute for Food Fisheries and Aquaculture Research (Nofima), 9291 Tromsø, Norway
| | - Johanne Heitmann Solheim
- Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway; (T.A.L.); (J.H.S.); (B.Z.); (H.U.R.); (A.K.)
| | - Boris Zimmermann
- Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway; (T.A.L.); (J.H.S.); (B.Z.); (H.U.R.); (A.K.)
| | - Hafeez Ur Rehman
- Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway; (T.A.L.); (J.H.S.); (B.Z.); (H.U.R.); (A.K.)
| | - Vesa Virtanen
- Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, 90220 Oulu, Finland; (V.V.); (S.S.); (L.R.)
| | - Rubina Shaikh
- Department of Applied Physics, University of Eastern Finland, 70211 Kuopio, Finland; (R.S.); (E.N.); (I.A.)
- Department of Orthopedics, Traumatology, Hand Surgery, Kuopio University Hospital, 70210 Kuopio, Finland
| | - Ervin Nippolainen
- Department of Applied Physics, University of Eastern Finland, 70211 Kuopio, Finland; (R.S.); (E.N.); (I.A.)
| | - Isaac Afara
- Department of Applied Physics, University of Eastern Finland, 70211 Kuopio, Finland; (R.S.); (E.N.); (I.A.)
| | - Simo Saarakkala
- Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, 90220 Oulu, Finland; (V.V.); (S.S.); (L.R.)
| | - Lassi Rieppo
- Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, 90220 Oulu, Finland; (V.V.); (S.S.); (L.R.)
| | - Patrick Krebs
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, 89081 Ulm, Germany; (P.K.); (P.F.); (B.M.)
| | - Polina Fomina
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, 89081 Ulm, Germany; (P.K.); (P.F.); (B.M.)
| | - Boris Mizaikoff
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, 89081 Ulm, Germany; (P.K.); (P.F.); (B.M.)
| | - Achim Kohler
- Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway; (T.A.L.); (J.H.S.); (B.Z.); (H.U.R.); (A.K.)
| |
Collapse
|
4
|
Figoli CB, Garcea M, Bisioli C, Tafintseva V, Shapaval V, Gómez Peña M, Gibbons L, Althabe F, Yantorno OM, Horton M, Schmitt J, Lasch P, Kohler A, Bosch A. A robust metabolomics approach for the evaluation of human embryos from in vitro fertilization. Analyst 2021; 146:6156-6169. [PMID: 34515271 DOI: 10.1039/d1an01191j] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The identification of the most competent embryos for transfer to the uterus constitutes the main challenge of in vitro fertilization (IVF). We established a metabolomic-based approach by applying Fourier transform infrared (FTIR) spectroscopy on 130 samples of 3-day embryo culture supernatants from 26 embryos that implanted and 104 embryos that failed. On examining the internal structure of the data by unsupervised multivariate analysis, we found that the supernatant spectra of nonimplanted embryos constituted a highly heterogeneous group. Whereas ∼40% of these supernatants were spectroscopically indistinguishable from those of successfully implanted embryos, ∼60% exhibited diverse, heterogeneous metabolic fingerprints. This observation proved to be the direct result of pregnancy's multifactorial nature, involving both intrinsic embryonic traits and external characteristics. Our data analysis strategy thus involved one-class modelling techniques employing soft independent modelling of class analogy that identified deviant fingerprints as unsuitable for implantation. From these findings, we could develop a noninvasive Fourier-transform-infrared-spectroscopy-based approach that represents a shift in the fundamental paradigm for data modelling applied in assisted-fertilization technologies.
Collapse
Affiliation(s)
- Cecilia Beatriz Figoli
- Laboratorio de Bioespectrosocpia, CINDEFI-CONICET, CCT La Plata, Facultad de Ciencias Exactas, UNLP, 1900 La Plata, Argentina.
| | - Marcelo Garcea
- PREGNA Medicina Reproductiva, C1425 AYV Ciudad Autónoma de Buenos Aires, Argentina
| | - Claudio Bisioli
- PREGNA Medicina Reproductiva, C1425 AYV Ciudad Autónoma de Buenos Aires, Argentina
| | - Valeria Tafintseva
- Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway.
| | - Volha Shapaval
- Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway.
| | - Mariana Gómez Peña
- PREGNA Medicina Reproductiva, C1425 AYV Ciudad Autónoma de Buenos Aires, Argentina
| | - Luz Gibbons
- IECS, Instituto de Efectividad Clínica y Sanitaria, C1414 Ciudad Autónoma de Buenos Aires, Argentina
| | - Fernando Althabe
- IECS, Instituto de Efectividad Clínica y Sanitaria, C1414 Ciudad Autónoma de Buenos Aires, Argentina
| | - Osvaldo Miguel Yantorno
- Laboratorio de Bioespectrosocpia, CINDEFI-CONICET, CCT La Plata, Facultad de Ciencias Exactas, UNLP, 1900 La Plata, Argentina.
| | - Marcos Horton
- PREGNA Medicina Reproductiva, C1425 AYV Ciudad Autónoma de Buenos Aires, Argentina
| | | | - Peter Lasch
- Centre for Biological Threats and Special Pathogens (ZBS) Proteomics and Spectroscopy Unit, Robert Koch-Institut, 13353 Berlin, Germany
| | - Achim Kohler
- Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway.
| | - Alejandra Bosch
- Laboratorio de Bioespectrosocpia, CINDEFI-CONICET, CCT La Plata, Facultad de Ciencias Exactas, UNLP, 1900 La Plata, Argentina.
| |
Collapse
|
5
|
Kochan K, Bedolla DE, Perez-Guaita D, Adegoke JA, Chakkumpulakkal Puthan Veettil T, Martin M, Roy S, Pebotuwa S, Heraud P, Wood BR. Infrared Spectroscopy of Blood. APPLIED SPECTROSCOPY 2021; 75:611-646. [PMID: 33331179 DOI: 10.1177/0003702820985856] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
The magnitude of infectious diseases in the twenty-first century created an urgent need for point-of-care diagnostics. Critical shortages in reagents and testing kits have had a large impact on the ability to test patients with a suspected parasitic, bacteria, fungal, and viral infections. New point-of-care tests need to be highly sensitive, specific, and easy to use and provide results in rapid time. Infrared spectroscopy, coupled to multivariate and machine learning algorithms, has the potential to meet this unmet demand requiring minimal sample preparation to detect both pathogenic infectious agents and chronic disease markers in blood. This focal point article will highlight the application of Fourier transform infrared spectroscopy to detect disease markers in blood focusing principally on parasites, bacteria, viruses, cancer markers, and important analytes indicative of disease. Methodologies and state-of-the-art approaches will be reported and potential confounding variables in blood analysis identified. The article provides an up to date review of the literature on blood diagnosis using infrared spectroscopy highlighting the recent advances in this burgeoning field.
Collapse
Affiliation(s)
- Kamila Kochan
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Diana E Bedolla
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - David Perez-Guaita
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - John A Adegoke
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | | | - Miguela Martin
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Supti Roy
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Savithri Pebotuwa
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Philip Heraud
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Bayden R Wood
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| |
Collapse
|
6
|
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.
Collapse
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.)
| |
Collapse
|
7
|
Medipally DKR, Cullen D, Untereiner V, Sockalingum GD, Maguire A, Nguyen TNQ, Bryant J, Noone E, Bradshaw S, Finn M, Dunne M, Shannon AM, Armstrong J, Meade AD, Lyng FM. Vibrational spectroscopy of liquid biopsies for prostate cancer diagnosis. Ther Adv Med Oncol 2020; 12:1758835920918499. [PMID: 32821294 PMCID: PMC7412923 DOI: 10.1177/1758835920918499] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 03/18/2020] [Indexed: 12/24/2022] Open
Abstract
Background: Screening for prostate cancer with prostate specific antigen and digital rectal examination allows early diagnosis of prostate malignancy but has been associated with poor sensitivity and specificity. There is also a considerable risk of over-diagnosis and over-treatment, which highlights the need for better tools for diagnosis of prostate cancer. This study investigates the potential of high throughput Raman and Fourier Transform Infrared (FTIR) spectroscopy of liquid biopsies for rapid and accurate diagnosis of prostate cancer. Methods: Blood samples (plasma and lymphocytes) were obtained from healthy control subjects and prostate cancer patients. FTIR and Raman spectra were recorded from plasma samples, while Raman spectra were recorded from the lymphocytes. The acquired spectral data was analysed with various multivariate statistical methods, principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and classical least squares (CLS) fitting analysis. Results: Discrimination was observed between the infrared and Raman spectra of plasma and lymphocytes from healthy donors and prostate cancer patients using PCA. In addition, plasma and lymphocytes displayed differentiating signatures in patients exhibiting different Gleason scores. A PLS-DA model was able to discriminate these groups with sensitivity and specificity rates ranging from 90% to 99%. CLS fitting analysis identified key analytes that are involved in the development and progression of prostate cancer. Conclusions: This technology may have potential as an alternative first stage diagnostic triage for prostate cancer. This technology can be easily adaptable to many other bodily fluids and could be useful for translation of liquid biopsy-based diagnostics into the clinic.
Collapse
Affiliation(s)
- Dinesh K R Medipally
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Ireland
| | - Daniel Cullen
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Ireland
| | - Valérie Untereiner
- Université de Reims Champagne-Ardenne, BioSpecT EA 7506, UFR Pharmacie, Reims, France
| | - Ganesh D Sockalingum
- Université de Reims Champagne-Ardenne, BioSpecT EA 7506, UFR Pharmacie, Reims, France
| | - Adrian Maguire
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Ireland
| | - Thi Nguyet Que Nguyen
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Ireland
| | - Jane Bryant
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Ireland
| | - Emma Noone
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, Dublin, Ireland
| | - Shirley Bradshaw
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, Dublin, Ireland
| | - Marie Finn
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, Dublin, Ireland
| | - Mary Dunne
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, Dublin, Ireland
| | | | | | - Aidan D Meade
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, Kevin Street, Dublin, Dublin D08 NF82, Ireland
| | - Fiona M Lyng
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Dublin D08 NF82, Ireland
| |
Collapse
|
8
|
Medipally DKR, Cullen D, Untereiner V, Bryant J, Sockalingum GD, Nguyen TNQ, Noone E, Bradshaw S, Finn M, Dunne M, Shannon AM, Armstrong J, Meade AD, Lyng FM. Effect of hemolysis on Fourier transform infrared and Raman spectra of blood plasma. JOURNAL OF BIOPHOTONICS 2020; 13:e201960173. [PMID: 32162465 DOI: 10.1002/jbio.201960173] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 02/19/2020] [Accepted: 03/09/2020] [Indexed: 06/10/2023]
Abstract
Hemolysis is a very common phenomenon and is referred as the release of intracellular components from red blood cells to the extracellular fluid. Hemolyzed samples are often rejected in clinics due to the interference of hemoglobin and intracellular components in laboratory measurements. Plasma and serum based vibrational spectroscopy studies are extensively applied to generate spectral biomarkers for various diseases. However, no studies have reported the effect of hemolysis in blood based vibrational spectroscopy studies. This study was undertaken to evaluate the effect of hemolysis on infrared and Raman spectra of blood plasma. In this study, prostate cancer plasma samples (n = 30) were divided into three groups (nonhemolyzed, mildly hemolyzed, and moderately hemolyzed) based on the degree of hemolysis and FTIR and Raman spectra were recorded using high throughput (HT)-FTIR and HT-Raman spectroscopy. Discrimination was observed between the infrared and Raman spectra of nonhemolyzed and hemolyzed plasma samples using principal component analysis. A classical least square fitting analysis showed differences in the weighting of pure components in nonhemolyzed and hemolyzed plasma samples. Therefore, it is worth to consider the changes in spectral features due to hemolysis when comparing the results within and between experiments.
Collapse
Affiliation(s)
- Dinesh K R Medipally
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Ireland
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, Dublin, Ireland
| | - Daniel Cullen
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Ireland
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, Dublin, Ireland
| | - Valérie Untereiner
- BioSpecT EA 7506, Université de Reims Champagne-Ardenne, UFR Pharmacie, Reims, France
- Plateforme en Imagerie Cellulaire et Tissulaire (PICT), Université de Reims Champagne-Ardenne, Reims, France
| | - Jane Bryant
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Ireland
| | - Ganesh D Sockalingum
- BioSpecT EA 7506, Université de Reims Champagne-Ardenne, UFR Pharmacie, Reims, France
| | - Thi N Q Nguyen
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Ireland
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, Dublin, Ireland
| | - Emma Noone
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, Dublin, Ireland
| | - Shirley Bradshaw
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, Dublin, Ireland
| | - Marie Finn
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, Dublin, Ireland
| | - Mary Dunne
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, Dublin, Ireland
| | | | - John Armstrong
- Cancer Trials Ireland, Dublin, Ireland
- Department of Radiation Oncology, St Luke's Radiation Oncology Network, St Luke's Hospital, Dublin, Ireland
| | - Aidan D Meade
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Ireland
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, Dublin, Ireland
| | - Fiona M Lyng
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Dublin, Ireland
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, Dublin, Ireland
| |
Collapse
|
9
|
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.
Collapse
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
| |
Collapse
|
10
|
Faviez C, Chen X, Garcelon N, Neuraz A, Knebelmann B, Salomon R, Lyonnet S, Saunier S, Burgun A. Diagnosis support systems for rare diseases: a scoping review. Orphanet J Rare Dis 2020; 15:94. [PMID: 32299466 PMCID: PMC7164220 DOI: 10.1186/s13023-020-01374-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 03/31/2020] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Rare diseases affect approximately 350 million people worldwide. Delayed diagnosis is frequent due to lack of knowledge of most clinicians and a small number of expert centers. Consequently, computerized diagnosis support systems have been developed to address these issues, with many relying on rare disease expertise and taking advantage of the increasing volume of generated and accessible health-related data. Our objective is to perform a review of all initiatives aiming to support the diagnosis of rare diseases. METHODS A scoping review was conducted based on methods proposed by Arksey and O'Malley. A charting form for relevant study analysis was developed and used to categorize data. RESULTS Sixty-eight studies were retained at the end of the charting process. Diagnosis targets varied from 1 rare disease to all rare diseases. Material used for diagnosis support consisted mostly of phenotype concepts, images or fluids. Fifty-seven percent of the studies used expert knowledge. Two-thirds of the studies relied on machine learning algorithms, and one-third used simple similarities. Manual algorithms were encountered as well. Most of the studies presented satisfying performance of evaluation by comparison with references or with external validation. Fourteen studies provided online tools, most of which aimed to support the diagnosis of all rare diseases by considering queries based on phenotype concepts. CONCLUSION Numerous solutions relying on different materials and use of various methodologies are emerging with satisfying preliminary results. However, the variability of approaches and evaluation processes complicates the comparison of results. Efforts should be made to adequately validate these tools and guarantee reproducibility and explicability.
Collapse
Affiliation(s)
- Carole Faviez
- Centre de Recherche des Cordeliers, INSERM, Université de Paris, Sorbonne Université, F-75006, Paris, France.
| | - Xiaoyi Chen
- Centre de Recherche des Cordeliers, INSERM, Université de Paris, Sorbonne Université, F-75006, Paris, France
| | - Nicolas Garcelon
- Centre de Recherche des Cordeliers, INSERM, Université de Paris, Sorbonne Université, F-75006, Paris, France.,Institut Imagine, Université de Paris, F-75015, Paris, France
| | - Antoine Neuraz
- Centre de Recherche des Cordeliers, INSERM, Université de Paris, Sorbonne Université, F-75006, Paris, France.,Département d'informatique médicale, Hôpital Necker-Enfants Malades, Assistance Publique - Hôpitaux de Paris (AP-HP), F-75015, Paris, France
| | - Bertrand Knebelmann
- Service de Néphrologie Transplantation Adultes, Hôpital Necker-Enfants Malades, F-75015, Paris, France.,Université de Paris, F-75006, Paris, France.,Institut Necker-Enfants Malades, INSERM, Hôpital Necker-Enfants Malades, F-75015, Paris, France
| | - Rémi Salomon
- Institut Imagine, Université de Paris, F-75015, Paris, France.,Service de Néphrologie Pédiatrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université de Paris, F-75015, Paris, France
| | - Stanislas Lyonnet
- Université de Paris, F-75006, Paris, France.,Laboratory of Embryology and Genetics of Congenital Malformations, INSERM UMR 1163, Université de Paris, Imagine Institute, F-75015, Paris, France.,Service de génétique, Hôpital Necker-Enfants Malades, Assistance Publique - Hôpitaux de Paris (AP-HP), F-75015, Paris, France
| | - Sophie Saunier
- Université de Paris, F-75006, Paris, France.,Laboratory of Renal Hereditary Diseases, INSERM UMR 1163, Université de Paris, Imagine Institute, F-75015, Paris, France
| | - Anita Burgun
- Centre de Recherche des Cordeliers, INSERM, Université de Paris, Sorbonne Université, F-75006, Paris, France.,Département d'informatique médicale, Hôpital Necker-Enfants Malades, Assistance Publique - Hôpitaux de Paris (AP-HP), F-75015, Paris, France.,Université de Paris, F-75006, Paris, France.,PaRis Artificial Intelligence Research InstitutE (PRAIRIE), Paris, France
| |
Collapse
|
11
|
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.
Collapse
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.
| |
Collapse
|
12
|
Medipally DKR, Nguyen TNQ, Bryant J, Untereiner V, Sockalingum GD, Cullen D, Noone E, Bradshaw S, Finn M, Dunne M, Shannon AM, Armstrong J, Lyng FM, Meade AD. Monitoring Radiotherapeutic Response in Prostate Cancer Patients Using High Throughput FTIR Spectroscopy of Liquid Biopsies. Cancers (Basel) 2019; 11:E925. [PMID: 31269684 PMCID: PMC6679106 DOI: 10.3390/cancers11070925] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 06/26/2019] [Accepted: 06/28/2019] [Indexed: 02/08/2023] Open
Abstract
Radiation therapy (RT) is used to treat approximately 50% of all cancer patients. However, RT causes a wide range of adverse late effects that can affect a patient's quality of life. There are currently no predictive assays in clinical use to identify patients at risk of normal tissue radiation toxicity. This study aimed to investigate the potential of Fourier transform infrared (FTIR) spectroscopy for monitoring radiotherapeutic response. Blood plasma was acquired from 53 prostate cancer patients at five different time points: prior to treatment, after hormone treatment, at the end of radiotherapy, two months post radiotherapy and eight months post radiotherapy. FTIR spectra were recorded from plasma samples at all time points and the data was analysed using MATLAB software. Discrimination was observed between spectra recorded at baseline versus follow up time points, as well as between spectra from patients showing minimal and severe acute and late toxicity using principal component analysis. A partial least squares discriminant analysis model achieved sensitivity and specificity rates ranging from 80% to 99%. This technology may have potential to monitor radiotherapeutic response in prostate cancer patients using non-invasive blood plasma samples and could lead to individualised patient radiotherapy.
Collapse
Affiliation(s)
- Dinesh K R Medipally
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, D08 NF82 Dublin, Ireland
| | - Thi Nguyet Que Nguyen
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, D08 NF82 Dublin, Ireland
| | - Jane Bryant
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland
| | - Valérie Untereiner
- BioSpecT EA 7506, Université de Reims Champagne-Ardenne, UFR Pharmacie, 51097 Reims, France
- Plateforme en Imagerie Cellulaire et Tissulaire (PICT), Université de Reims Champagne-Ardenne, 51097 Reims, France
| | - Ganesh D Sockalingum
- BioSpecT EA 7506, Université de Reims Champagne-Ardenne, UFR Pharmacie, 51097 Reims, France
| | - Daniel Cullen
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, D08 NF82 Dublin, Ireland
| | - Emma Noone
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, D06 HH36 Dublin, Ireland
| | - Shirley Bradshaw
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, D06 HH36 Dublin, Ireland
| | - Marie Finn
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, D06 HH36 Dublin, Ireland
| | - Mary Dunne
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, D06 HH36 Dublin, Ireland
| | | | - John Armstrong
- Cancer Trials Ireland, D11 KXN4 Dublin, Ireland
- Department of Radiation Oncology, St Luke's Radiation Oncology Network, St Luke's Hospital, D06 HH36 Dublin, Ireland
| | - Fiona M Lyng
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland.
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, D08 NF82 Dublin, Ireland.
| | - Aidan D Meade
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland.
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, D08 NF82 Dublin, Ireland.
| |
Collapse
|
13
|
El Khoury Y, Collongues N, De Sèze J, Gulsari V, Patte-Mensah C, Marcou G, Varnek A, Mensah-Nyagan AG, Hellwig P. Serum-based differentiation between multiple sclerosis and amyotrophic lateral sclerosis by Random Forest classification of FTIR spectra. Analyst 2019; 144:4647-4652. [PMID: 31257384 DOI: 10.1039/c9an00754g] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The challenging diagnosis and differentiation between multiple sclerosis and amyotrophic lateral sclerosis relies on the clinical assessment of the symptoms along with magnetic resonance imaging and sampling cerebrospinal fluid for the search of biomarkers for either disease. Despite the progress made in imaging techniques and biomarker identification, misdiagnosis still occurs. Here we used 2.5 μL of serum samples to obtain the infrared spectroscopic signatures of sera of multiple sclerosis and amyotrophic lateral sclerosis patients and compared them to those of healthy controls. The spectra are then classified with the help of a two-fold Random Forest cross-validation algorithm. This approach shows that infrared spectroscopy is powerful in discriminating between the two diseases and healthy controls by offering high specificity for multiple sclerosis (100%) and amyotrophic lateral sclerosis (98%). In addition, data after six and twelve months of treatment of the multiple sclerosis patients with biotin are discussed.
Collapse
Affiliation(s)
- Youssef El Khoury
- Laboratory of Bioelectrochemistry and Spectroscopy, UMR 7140 University of Strasbourg/CNRS, 4 rue Blaise Pascal, 67000 Strasbourg, France.
| | - Nicolas Collongues
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, INSERM U1119, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Bâtiment 3 de la Faculté de Médecine, Strasbourg, France and Department of Neurology, University Hospital of Strasbourg, Strasbourg, France
| | - Jérôme De Sèze
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, INSERM U1119, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Bâtiment 3 de la Faculté de Médecine, Strasbourg, France and Department of Neurology, University Hospital of Strasbourg, Strasbourg, France
| | - Vildan Gulsari
- Laboratory of Bioelectrochemistry and Spectroscopy, UMR 7140 University of Strasbourg/CNRS, 4 rue Blaise Pascal, 67000 Strasbourg, France.
| | - Christine Patte-Mensah
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, INSERM U1119, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Bâtiment 3 de la Faculté de Médecine, Strasbourg, France
| | - Gilles Marcou
- Laboratory of Chemoinformatics, UMR 7140 University of Strasbourg/CNRS, 4 rue Blaise Pascal, 67000 Strasbourg, France
| | - Alexandre Varnek
- Laboratory of Chemoinformatics, UMR 7140 University of Strasbourg/CNRS, 4 rue Blaise Pascal, 67000 Strasbourg, France
| | - Ayikoé Guy Mensah-Nyagan
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, INSERM U1119, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Bâtiment 3 de la Faculté de Médecine, Strasbourg, France
| | - Petra Hellwig
- Laboratory of Bioelectrochemistry and Spectroscopy, UMR 7140 University of Strasbourg/CNRS, 4 rue Blaise Pascal, 67000 Strasbourg, France. and University of Strasbourg Institute for Advanced Study (USIAS), Strasbourg, France
| |
Collapse
|
14
|
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]
|
15
|
Parachalil DR, Bruno C, Bonnier F, Blasco H, Chourpa I, Baker MJ, McIntyre J, Byrne HJ. Analysis of bodily fluids using vibrational spectroscopy: a direct comparison of Raman scattering and infrared absorption techniques for the case of glucose in blood serum. Analyst 2019; 144:3334-3346. [DOI: 10.1039/c9an00125e] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Analysis of biomarkers present in the blood stream can potentially deliver crucial information on patient health and indicate the presence of numerous pathologies.
Collapse
Affiliation(s)
- Drishya Rajan Parachalil
- FOCAS Research Institute
- Technological University Dublin
- Dublin 8
- Ireland
- School of Physics and Optometric & Clinical Sciences
| | - Clément Bruno
- Université de Tours
- UFR sciences pharmaceutiques
- EA 6295 Nanomédicaments et Nanosondes
- 37200 Tours
- France
| | - Franck Bonnier
- Université de Tours
- UFR sciences pharmaceutiques
- EA 6295 Nanomédicaments et Nanosondes
- 37200 Tours
- France
| | - Hélène Blasco
- CHRU de Tours
- Laboratoire de Biochimie et Biologie Moléculaire
- Tours
- France
- WestCHEM
| | - Igor Chourpa
- Université de Tours
- UFR sciences pharmaceutiques
- EA 6295 Nanomédicaments et Nanosondes
- 37200 Tours
- France
| | - Matthew J. Baker
- WestCHEM
- Department of Pure & Applied Chemistry
- Technology and Innovation Centre
- University of Strathclyde
- Glasgow
| | - Jennifer McIntyre
- FOCAS Research Institute
- Technological University Dublin
- Dublin 8
- Ireland
| | - Hugh J. Byrne
- FOCAS Research Institute
- Technological University Dublin
- Dublin 8
- Ireland
| |
Collapse
|
16
|
Medipally DKR, Maguire A, Bryant J, Armstrong J, Dunne M, Finn M, Lyng FM, Meade AD. Development of a high throughput (HT) Raman spectroscopy method for rapid screening of liquid blood plasma from prostate cancer patients. Analyst 2018; 142:1216-1226. [PMID: 28001146 DOI: 10.1039/c6an02100j] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Extensive research has been undertaken on the examination of tissue biopsies using vibrational spectroscopic techniques. However, fewer studies have focused on less invasive and commonly acquired blood samples. Recent studies have shown the ability of Raman and Fourier transform infrared (FTIR) spectroscopy to discriminate between non-cancer controls and cancer cases using blood serum or plasma. Even though many studies have proposed Raman spectroscopy as a potential diagnostic tool in various cancers, the Raman spectroscopic technique has not been introduced as a routine clinical technology. This is due to multiple drawbacks with the application of the technique, including sample preparation, the requirement for expensive substrates and long acquisition times. The current study aims to overcome these limitations and focuses on the translation of Raman spectroscopy into a high throughput clinical diagnostic tool for prostate cancer. In this study, the effect of different instrumental and sample preparation parameters were investigated, with the aim of identifying a combination that would reduce the overall acquisition time for spectra from peripheral blood plasma, reduce the complexity of sample preparation and retain the classification accuracy from Raman spectroscopic diagnostics. A high throughput (HT) system was developed and Raman spectroscopic measurements were performed on plasma samples from 10 prostate cancer patients and 10 healthy volunteers. The spectra were pre-processed and classified by principal component analysis - linear discriminant analysis (PCA-LDA) in the R environment. Statistically significant differences were observed between Raman spectra of prostate cancer patients and non-cancer controls. The (HT) classification resulted in a sensitivity and specificity of 96.5% and 95% respectively. Overall, this study has overcome some of the limitations associated with clinical translation of Raman spectroscopy. The HT-Raman spectroscopy method developed in this study can be used for rapid and accurate diagnosis of prostate cancer using liquid plasma samples.
Collapse
Affiliation(s)
- Dinesh K R Medipally
- School of Physics, Dublin Institute of Technology, Kevin Street, Dublin 8, Ireland.
| | | | | | | | | | | | | | | |
Collapse
|
17
|
Lovergne L, Bouzy P, Untereiner V, Garnotel R, Baker MJ, Thiéfin G, Sockalingum GD. Biofluid infrared spectro-diagnostics: pre-analytical considerations for clinical applications. Faraday Discuss 2018; 187:521-37. [PMID: 27048927 DOI: 10.1039/c5fd00184f] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Several proof-of-concept studies on the vibrational spectroscopy of biofluids have demonstrated that the methodology has promising potential as a clinical diagnostic tool. However, these studies also show that there is a lack of a standardised protocol in sample handling and preparation prior to spectroscopic analysis. One of the most important sources of analytical errors is the pre-analytical phase. For the technique to be translated into clinics, it is clear that a very strict protocol needs to be established for such biological samples. This study focuses on some of the aspects of the pre-analytical phase in the development of the high-throughput Fourier Transform Infrared (FTIR) spectroscopy of some of the most common biofluids such as serum, plasma and bile. Pre-analytical considerations that can impact either the samples (solvents, anti-coagulants, freeze-thaw cycles…) and/or spectroscopic analysis (sample preparation such as drying, deposit methods, volumes, substrates, operators dependence…) and consequently the quality and the reproducibility of spectral data will be discussed in this report.
Collapse
Affiliation(s)
- L Lovergne
- Université de Reims Champagne-Ardenne, MéDIAN-Biophotonique et Technologies pour la Santé, UFR de Pharmacie, 51 rue Cognacq-Jay, 51095 Reims Cedex, France. and CNRS UMR 7369, Matrice extracellulaire et Dynamique Cellulaire, MEDyC, 51096 Reims Cedex, France and WESTChem, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, UK
| | - P Bouzy
- SATT NORD (Société d'Accélération du Transfert de Technologie), 4 bd de la Paix, 51100 Reims, France
| | - V Untereiner
- Université de Reims Champagne-Ardenne, MéDIAN-Biophotonique et Technologies pour la Santé, UFR de Pharmacie, 51 rue Cognacq-Jay, 51095 Reims Cedex, France. and CNRS UMR 7369, Matrice extracellulaire et Dynamique Cellulaire, MEDyC, 51096 Reims Cedex, France and Plateforme en imagerie cellulaire et tissulaire (PICT), Université de Reims Champagne-Ardenne, 51 rue Cognacq-Jay, 51096 Reims Cedex, France
| | - R Garnotel
- Université de Reims Champagne-Ardenne, MéDIAN-Biophotonique et Technologies pour la Santé, UFR de Pharmacie, 51 rue Cognacq-Jay, 51095 Reims Cedex, France. and CNRS UMR 7369, Matrice extracellulaire et Dynamique Cellulaire, MEDyC, 51096 Reims Cedex, France and Laboratoire de Biologie et Recherche Pédiatriques, CHU de Reims, 51092 Reims Cedex, France
| | - M J Baker
- WESTChem, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, UK
| | - G Thiéfin
- Université de Reims Champagne-Ardenne, MéDIAN-Biophotonique et Technologies pour la Santé, UFR de Pharmacie, 51 rue Cognacq-Jay, 51095 Reims Cedex, France. and CNRS UMR 7369, Matrice extracellulaire et Dynamique Cellulaire, MEDyC, 51096 Reims Cedex, France and Service d'Hépato-Gastroentérologie, CHU de Reims, Hôpital Robert Debré, 51092 Reims Cedex, France
| | - G D Sockalingum
- Université de Reims Champagne-Ardenne, MéDIAN-Biophotonique et Technologies pour la Santé, UFR de Pharmacie, 51 rue Cognacq-Jay, 51095 Reims Cedex, France. and CNRS UMR 7369, Matrice extracellulaire et Dynamique Cellulaire, MEDyC, 51096 Reims Cedex, France
| |
Collapse
|
18
|
Stables R, Clemens G, Butler HJ, Ashton KM, Brodbelt A, Dawson TP, Fullwood LM, Jenkinson MD, Baker MJ. Feature driven classification of Raman spectra for real-time spectral brain tumour diagnosis using sound. Analyst 2018; 142:98-109. [PMID: 27757448 DOI: 10.1039/c6an01583b] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Spectroscopic diagnostics have been shown to be an effective tool for the analysis and discrimination of disease states from human tissue. Furthermore, Raman spectroscopic probes are of particular interest as they allow for in vivo spectroscopic diagnostics, for tasks such as the identification of tumour margins during surgery. In this study, we investigate a feature-driven approach to the classification of metastatic brain cancer, glioblastoma (GB) and non-cancer from tissue samples, and we provide a real-time feedback method for endoscopic diagnostics using sound. To do this, we first evaluate the sensitivity and specificity of three classifiers (SVM, KNN and LDA), when trained with both sub-band spectral features and principal components taken directly from Raman spectra. We demonstrate that the feature extraction approach provides an increase in classification accuracy of 26.25% for SVM and 25% for KNN. We then discuss the molecular assignment of the most salient sub-bands in the dataset. The most salient sub-band features are mapped to parameters of a frequency modulation (FM) synthesizer in order to generate audio clips from each tissue sample. Based on the properties of the sub-band features, the synthesizer was able to maintain similar sound timbres within the disease classes and provide different timbres between disease classes. This was reinforced via listening tests, in which participants were able to discriminate between classes with mean classification accuracy of 71.1%. Providing intuitive feedback via sound frees the surgeons' visual attention to remain on the patient, allowing for greater control over diagnostic and surgical tools during surgery, and thus promoting clinical translation of spectroscopic diagnostics.
Collapse
Affiliation(s)
- Ryan Stables
- Digital Media Technology Laboratory, Millennium Point, City Centre Campus Birmingham City University, West Midlands, B47XG, UK
| | - Graeme Clemens
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G11RD, UK. Twitter:@ChemistryBaker and Centre for Materials Science, Division of Chemistry, University of Central Lancashire, Preston, PR12HE, UK
| | - Holly J Butler
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G11RD, UK. Twitter:@ChemistryBaker
| | - Katherine M Ashton
- Neuropathology, Lancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Sharoe Green Lane North, Preston, PR29HT, UK
| | - Andrew Brodbelt
- Neuropathology, Lancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Sharoe Green Lane North, Preston, PR29HT, UK
| | - Timothy P Dawson
- Neuropathology, Lancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Sharoe Green Lane North, Preston, PR29HT, UK
| | - Leanne M Fullwood
- Centre for Materials Science, Division of Chemistry, University of Central Lancashire, Preston, PR12HE, UK
| | - Michael D Jenkinson
- The Walton Centre for Neurology and Neurosurgery, The Walton Centre NHS Trust, Lower Lane, Liverpool, L97LJ, UK
| | - Matthew J Baker
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G11RD, UK. Twitter:@ChemistryBaker
| |
Collapse
|
19
|
Bonnier F, Blasco H, Wasselet C, Brachet G, Respaud R, Carvalho LFCS, Bertrand D, Baker MJ, Byrne HJ, Chourpa I. Ultra-filtration of human serum for improved quantitative analysis of low molecular weight biomarkers using ATR-IR spectroscopy. Analyst 2017; 142:1285-1298. [DOI: 10.1039/c6an01888b] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Monitoring of changes in the concentrations of the low molecular weight constituents enhanced by abundant proteins depletion.
Collapse
Affiliation(s)
- Franck Bonnier
- Université François-Rabelais de Tours
- Faculté de Pharmacie
- EA 6295 Nanomédicaments et Nanosondes
- 37200 Tours
- France
| | - Hélène Blasco
- CHRU de Tours
- Laboratoire de Biochimie et de Biologie Moléculaire
- Tours
- France
- INSERM
| | - Clément Wasselet
- Université François-Rabelais de Tours
- Faculté de Pharmacie
- EA 6295 Nanomédicaments et Nanosondes
- 37200 Tours
- France
| | - Guillaume Brachet
- Université François Rabelais de Tours
- UMR CNRS 7292 Génétique
- Immunothérapie
- Chimie et Cancer
- Faculté de Médecine
| | - Renaud Respaud
- Université François-Rabelais de Tours
- UMR 1100
- CHRU de Tours
- Service de Pharmacie
- F-37032 Tours
| | - Luis Felipe C. S. Carvalho
- Universidade do Vale do Paraiba
- Laboratory of Biomedical Vibrational Spectroscopy
- Sao José dos Campos
- Brazil
| | | | - Matthew J. Baker
- WestCHEM
- Technology and Innovation Centre
- Department of Pure and Applied Chemistry
- University of Strathclyde
- Glasgow G1 1XL
| | - Hugh J. Byrne
- FOCAS Research Institute
- Dublin Institute of Technology (DIT)
- Dublin 8
- Ireland
| | - Igor Chourpa
- Université François-Rabelais de Tours
- Faculté de Pharmacie
- EA 6295 Nanomédicaments et Nanosondes
- 37200 Tours
- France
| |
Collapse
|
20
|
Bonnier F, Brachet G, Duong R, Sojinrin T, Respaud R, Aubrey N, Baker MJ, Byrne HJ, Chourpa I. Screening the low molecular weight fraction of human serum using ATR-IR spectroscopy. JOURNAL OF BIOPHOTONICS 2016; 9:1085-1097. [PMID: 27507567 DOI: 10.1002/jbio.201600015] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Revised: 06/06/2016] [Accepted: 07/11/2016] [Indexed: 05/11/2023]
Abstract
Vibrational spectroscopic techniques can detect small variations in molecular content, linked with disease, showing promise for screening and early diagnosis. Biological fluids, particularly blood serum, are potentially valuable for diagnosis purposes. The so-called Low Molecular Weight Fraction (LMWF) contains the associated peptidome and metabolome and has been identified as potentially the most relevant molecular population for disease-associated biomarker research. Although vibrational spectroscopy can deliver a specific chemical fingerprint of the samples, the High Molecular Weight Fraction (HMWF), composed of the most abundant serum proteins, strongly dominates the response and ultimately makes the detection of minor spectral variations a challenging task. Spectroscopic detection of potential serum biomarkers present at relatively low concentrations can be improved using pre-analytical depletion of the HMWF. In the present study, human serum fractionation by centrifugal filtration was used prior to analysis by Attenuated Total Reflection infrared spectroscopy. Using a model sample based on glycine spiked serum, it is demonstrated that the screening of the LMWF can be applied to quantify blinded concentrations up to 50 times lower. Moreover, the approach is easily transferable to different bodily fluids which would support the development of more efficient and suitable clinical protocols exploring vibrational spectroscopy based ex-vivo diagnostic tools. Revealing serum LMWF for spectral serological diagnostic applications.
Collapse
Affiliation(s)
- Franck Bonnier
- Université François-Rabelais de Tours, Faculty of Pharmacy, 31 avenue Monge, 37200, Tours, France.
| | - Guillaume Brachet
- Université François Rabelais de Tours, UMR CNRS 7292 Génétique, Immunothérapie, Chimie et Cancer, Faculté de Médecine, 10 Bd Tonnellé, 37032, Tours, Cedex
| | - Romain Duong
- Université François-Rabelais de Tours, Faculty of Pharmacy, 31 avenue Monge, 37200, Tours, France
| | - Tobiloba Sojinrin
- FOCAS Research Institute, Dublin Institute of Technology (DIT), Camden Row, Dublin 8, Ireland
| | - Renaud Respaud
- Université François-Rabelais de Tours, F-37032, Tours, France
| | - Nicolas Aubrey
- Université de Tours, 37200, Tours, France
- Institut National de la Recherche Agronomique, 37380, Nouzilly, France
| | - Matthew J Baker
- WestCHEM, Technology and Innovation Centre, Department of Pure and Applied Chemistry, University of Strathclyde, 295 Cathedral Street, Glasgow G1 1XL, UK
| | - Hugh J Byrne
- FOCAS Research Institute, Dublin Institute of Technology (DIT), Camden Row, Dublin 8, Ireland
| | - Igor Chourpa
- Université François-Rabelais de Tours, Faculty of Pharmacy, 31 avenue Monge, 37200, Tours, France
| |
Collapse
|
21
|
Baker MJ, Hussain SR, Lovergne L, Untereiner V, Hughes C, Lukaszewski RA, Thiéfin G, Sockalingum GD. Developing and understanding biofluid vibrational spectroscopy: a critical review. Chem Soc Rev 2016; 45:1803-18. [DOI: 10.1039/c5cs00585j] [Citation(s) in RCA: 196] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Biofluid vibrational spectroscopy, a promising tool for rapid disease diagnosis.
Collapse
Affiliation(s)
- Matthew J. Baker
- WESTChem
- Department of Pure and Applied Chemistry
- Technology and Innovation Centre
- University of Strathclyde
- Glasgow
| | - Shawn R. Hussain
- Equipe MéDIAN-Biophotonique et Technologies pour la Santé
- Université de Reims Champagne-Ardenne
- CNRS UMR 7369-MEDyC
- UFR de Pharmacie
- 51096 Reims Cedex
| | - Lila Lovergne
- WESTChem
- Department of Pure and Applied Chemistry
- Technology and Innovation Centre
- University of Strathclyde
- Glasgow
| | - Valérie Untereiner
- Equipe MéDIAN-Biophotonique et Technologies pour la Santé
- Université de Reims Champagne-Ardenne
- CNRS UMR 7369-MEDyC
- UFR de Pharmacie
- 51096 Reims Cedex
| | - Caryn Hughes
- Manchester Institute of Biotechnology
- University of Manchester
- Manchester
- UK
| | | | - Gérard Thiéfin
- Equipe MéDIAN-Biophotonique et Technologies pour la Santé
- Université de Reims Champagne-Ardenne
- CNRS UMR 7369-MEDyC
- UFR de Pharmacie
- 51096 Reims Cedex
| | - Ganesh D. Sockalingum
- Equipe MéDIAN-Biophotonique et Technologies pour la Santé
- Université de Reims Champagne-Ardenne
- CNRS UMR 7369-MEDyC
- UFR de Pharmacie
- 51096 Reims Cedex
| |
Collapse
|