1
|
Panizzi L, Vignes M, Dittmer K, Waterland M, Rogers C, Sano H, McIlwraith C, Pemberton S, Owen M, Riley C. Infrared spectroscopy of serum fails to identify early biomarker changes in an equine model of traumatic osteoarthritis. OSTEOARTHRITIS AND CARTILAGE OPEN 2022; 4:100297. [DOI: 10.1016/j.ocarto.2022.100297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 07/21/2022] [Accepted: 07/22/2022] [Indexed: 11/29/2022] Open
|
2
|
Clarke EJ, Lima C, Anderson JR, Castanheira C, Beckett A, James V, Hyett J, Goodacre R, Peffers MJ. Optical photothermal infrared spectroscopy can differentiate equine osteoarthritic plasma extracellular vesicles from healthy controls. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:3661-3670. [PMID: 36066093 PMCID: PMC9521322 DOI: 10.1039/d2ay00779g] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/25/2022] [Indexed: 05/26/2023]
Abstract
Equine osteoarthritis is a chronic degenerative disease of the articular joint, characterised by cartilage degradation resulting in pain and reduced mobility and thus is a prominent equine welfare concern. Diagnosis is usually at a late stage through clinical examination and radiographic imaging, whilst treatment is symptomatic not curative. Extracellular vesicles are nanoparticles that are involved in intercellular communication. The objective of this study was to investigate the feasibility of Raman and Optical Photothermal Infrared Spectroscopies to detect osteoarthritis using plasma-derived extracellular vesicles, specifically differentiating extracellular vesicles in diseased and healthy controls within the parameters of the techniques used. Plasma samples were derived from thoroughbred racehorses. A total of 14 samples were selected (control; n = 6 and diseased; n = 8). Extracellular vesicles were isolated using differential ultracentrifugation and characterised using nanoparticle tracking analysis, transmission electron microscopy, and human tetraspanin chips. Samples were then analysed using combined Raman and Optical Photothermal Infrared Spectroscopies. Infrared spectra were collected between 950-1800 cm-1. Raman spectra had bands between the wavelengths of 900-1800 cm-1 analysed. Spectral data for both Raman and Optical Photothermal Infrared Spectroscopy were used to generate clustering via principal components analysis and classification models were generated using partial least squared discriminant analysis in order to characterize the techniques' ability to distinguish diseased samples. Optical Photothermal Infrared Spectroscopy could differentiate osteoarthritic extracellular vesicles from healthy with good classification (93.4% correct classification rate) whereas Raman displayed poor classification (correct classification rate = -64.3%). Inspection of the infrared spectra indicated that plasma-derived extracellular vesicles from osteoarthritic horses contained increased signal for proteins, lipids and nucleic acids. For the first time we demonstrated the ability to use optical photothermal infrared spectroscopy combined with Raman spectroscopy to interrogate extracellular vesicles and osteoarthritis-related samples. Optical Photothermal Infrared Spectroscopy was superior to Raman in this study, and could distinguish osteoarthritis samples, suggestive of its potential use diagnostically to identify osteoarthritis in equine patients. This study demonstrates the potential of Raman and Optical Photothermal Infrared Spectroscopy to be used as a future diagnostic tool in clinical practice, with the capacity to detect changes in extracellular vesicles from clinically derived samples.
Collapse
Affiliation(s)
- Emily J Clarke
- Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, William Henry Duncan Building, 6 W Derby St, Liverpool L7 8TX, UK.
| | - Cassio Lima
- Centre for Metabolomics Research, Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7BE, UK
| | - James R Anderson
- Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, William Henry Duncan Building, 6 W Derby St, Liverpool L7 8TX, UK.
| | - Catarina Castanheira
- Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, William Henry Duncan Building, 6 W Derby St, Liverpool L7 8TX, UK.
| | - Alison Beckett
- Biomedical Electron Microscopy Unit, University of Liverpool, UK
| | - Victoria James
- School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, Loughborough LE12 5RD, UK
| | - Jacob Hyett
- Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, William Henry Duncan Building, 6 W Derby St, Liverpool L7 8TX, UK.
| | - Royston Goodacre
- Centre for Metabolomics Research, Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7BE, UK
| | - Mandy J Peffers
- Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, William Henry Duncan Building, 6 W Derby St, Liverpool L7 8TX, UK.
| |
Collapse
|
3
|
Leal LB, Nogueira MS, Mageski JGA, Martini TP, Barauna VG, Dos Santos L, de Carvalho LFDCES. Diagnosis of Systemic Diseases Using Infrared Spectroscopy: Detection of Iron Overload in Plasma-Preliminary Study. Biol Trace Elem Res 2021; 199:3737-3751. [PMID: 33415581 DOI: 10.1007/s12011-020-02510-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 11/23/2020] [Indexed: 02/07/2023]
Abstract
Despite the important role of iron in cellular homeostasis, iron overload (IO) is associated with systemic and tissue deposits which damage several organs. In order to reduce the impact caused by IO, invasive diagnosis exams (e.g., biopsies) and minimally invasive methods were developed including computed tomography and magnetic resonance imaging. However, current diagnostic methods are still time-consuming and expensive. A cost-effective solution is using Fourier-transform infrared spectroscopy (FTIR) for real-time and molecular-sensitive biofluid analysis during conventional laboratory exams. In this study, we performed the first evaluation of the accuracy of FTIR for IO diagnosis. The study was performed by collecting FTIR spectra of plasma samples of five rats intravenously injected with iron-dextran and five control rats. We developed a classification model based on principal component analysis and supervised methods including J48, random forest, multilayer perceptron, and radial basis function network. We achieved 100% accuracy for the classification of the IO status and provided a list of possible biomolecules related to the vibrational modes detected. In this preliminary study, we give a first step towards real-time diagnosis for acute IO or intoxication. Furthermore, we have expanded the literature knowledge regarding the pathophysiological changes induced by iron overload.
Collapse
Affiliation(s)
- Leonardo Barbosa Leal
- Department of Physiological Sciences, Federal University of Espírito Santo (UFES), Marechal Campos Ave, 1468, Maruípe, Vitória, Espírito Santo, 29040-090, Brazil.
| | - Marcelo Saito Nogueira
- Tyndall National Institute/University College Cork - Lee Maltings Complex, Dyke Parade, Cork, T12R5CP, Ireland
| | - Jandinay Gonzaga Alexandre Mageski
- Department of Physiological Sciences, Federal University of Espírito Santo (UFES), Marechal Campos Ave, 1468, Maruípe, Vitória, Espírito Santo, 29040-090, Brazil
| | - Thiago Pereira Martini
- Institute of Science and Technology, Federal University of Sao Paulo, São José dos Campos, Brazil
| | - Valério Garrone Barauna
- Department of Physiological Sciences, Federal University of Espírito Santo (UFES), Marechal Campos Ave, 1468, Maruípe, Vitória, Espírito Santo, 29040-090, Brazil
| | - Leonardo Dos Santos
- Department of Physiological Sciences, Federal University of Espírito Santo (UFES), Marechal Campos Ave, 1468, Maruípe, Vitória, Espírito Santo, 29040-090, Brazil
| | - Luis Felipe das Chagas E Silva de Carvalho
- Universidade de Taubaté. R. dos Operários, 09 - Centro, Taubaté, São Paulo, 12020-340, Brazil
- Centro Universitário Braz Cubas, Av. Francisco Rodrigues Filho, 1233 - Vila Mogilar, Mogi das Cruzes, São Paulo, Brazil
| |
Collapse
|
4
|
Luo Y, Liu H, Wu C, Paraskevaidi M, Deng Y, Shi W, Yuan Y, Feng R, Martin FL, Pang W. Diagnostic segregation of human breast tumours using Fourier-transform infrared spectroscopy coupled with multivariate analysis: Classifying cancer subtypes. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 255:119694. [PMID: 33799187 DOI: 10.1016/j.saa.2021.119694] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 03/01/2021] [Accepted: 03/07/2021] [Indexed: 06/12/2023]
Abstract
The present study aimed to investigate whether attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy coupled with multivariate analysis could be applied to discriminate and classify among breast tumour molecular subtypes based on the unique spectral "fingerprints" of their biochemical composition. The different breast cancer tissues and normal breast tissues were collected and identified by pathology and ATR-FTIR spectroscopy respectively. The study indicates that the levels of the lipid-to-protein, nucleic acid-to-lipid, phosphate-to-carbohydrate and their secondary structure ratio, including RNA-to-DNA, Amide I-to-Amide II, and RNA-to-lipid ratios were significantly altered among the molecular subtype of breast tumour compared with normal breast tissues, which helps explain the changes in the biochemical structure of different molecular phenotypes of breast cancer. Tentatively-assigned characteristic peak ratios of infrared (IR) spectra reflect the changes of the macromolecule structure in different issues to a great extent and can be used as a potential biomarker to predict the molecular subtype of breast tumour. The present study acts as the first case study to show the successful application of IR spectroscopy in classifying subtypes of breast cancer with biochemical alterations. Therefore, the present study is likely to help to provide a new diagnostic approach for the accurate diagnosis of breast tumours and differential molecular subtypes and has the potential to be used for further intraoperative management.
Collapse
Affiliation(s)
- Youhong Luo
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Hui Liu
- School of Public Health, Guilin Medical University, Guilin, Guangxi, PR China
| | - Chunye Wu
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Maria Paraskevaidi
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, UK; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston PR1 2HE, UK
| | - Yujie Deng
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Wenjie Shi
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Ye Yuan
- School of Basic Medical Sciences, Guilin Medical University, Guilin, Guangxi, PR China
| | - Ruifa Feng
- The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | | | - Weiyi Pang
- School of Public Health, Guilin Medical University, Guilin, Guangxi, PR China.
| |
Collapse
|
5
|
Vibrational Spectroscopy in Assessment of Early Osteoarthritis-A Narrative Review. Int J Mol Sci 2021; 22:ijms22105235. [PMID: 34063436 PMCID: PMC8155859 DOI: 10.3390/ijms22105235] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 05/07/2021] [Accepted: 05/13/2021] [Indexed: 12/21/2022] Open
Abstract
Osteoarthritis (OA) is a degenerative disease, and there is currently no effective medicine to cure it. Early prevention and treatment can effectively reduce the pain of OA patients and save costs. Therefore, it is necessary to diagnose OA at an early stage. There are various diagnostic methods for OA, but the methods applied to early diagnosis are limited. Ordinary optical diagnosis is confined to the surface, while laboratory tests, such as rheumatoid factor inspection and physical arthritis checks, are too trivial or time-consuming. Evidently, there is an urgent need to develop a rapid nondestructive detection method for the early diagnosis of OA. Vibrational spectroscopy is a rapid and nondestructive technique that has attracted much attention. In this review, near-infrared (NIR), infrared, (IR) and Raman spectroscopy were introduced to show their potential in early OA diagnosis. The basic principles were discussed first, and then the research progress to date was discussed, as well as its limitations and the direction of development. Finally, all methods were compared, and vibrational spectroscopy was demonstrated that it could be used as a promising tool for early OA diagnosis. This review provides theoretical support for the application and development of vibrational spectroscopy technology in OA diagnosis, providing a new strategy for the nondestructive and rapid diagnosis of arthritis and promoting the development and clinical application of a component-based molecular spectrum detection technology.
Collapse
|
6
|
Baishya N, Mamouei M, Budidha K, Qassem M, Vadgama P, Kyriacou PA. Investigations into the Effects of pH on Quantitative Measurements of Lactate in Biological Media Using ATR-FTIR Spectroscopy. Molecules 2020; 25:molecules25163695. [PMID: 32823662 PMCID: PMC7466057 DOI: 10.3390/molecules25163695] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 08/10/2020] [Accepted: 08/12/2020] [Indexed: 01/03/2023] Open
Abstract
Quantification of lactate/lactic acid in critical care environments is essential as lactate serves as an important biochemical marker for the adequacy of the haemodynamic circulation in shock and of cell respiration at the onset of sepsis/septic shock. Hence, in this study, ATR-FTIR was explored as a potential tool for lactate measurement, as the current techniques depend on sample preparation and fails to provide rapid response. Moreover, the effects of pH on PBS samples (7.4, 7, 6.5 and 6) and change in solution conditions (PBS to whole blood) on spectral features were also investigated. A total 189 spectra from five sets of lactate containing media were obtained. Results suggests that lactate could be measured with more than 90% accuracy in the wavenumber range of 1500–600 cm−1. The findings of this study further suggest that there exist no effects of change in pH or media, when estimating lactate concentration changes in this range of the Mid-IR spectral region.
Collapse
Affiliation(s)
- Nystha Baishya
- Research Center for Biomedical Engineering, University of London, Northampton Square, London EC1V 0HB, UK; (M.M.); (K.B.); (M.Q.); (P.A.K.)
- Correspondence: ; Tel.: +44-(0)20-7040-3878
| | - Mohammad Mamouei
- Research Center for Biomedical Engineering, University of London, Northampton Square, London EC1V 0HB, UK; (M.M.); (K.B.); (M.Q.); (P.A.K.)
| | - Karthik Budidha
- Research Center for Biomedical Engineering, University of London, Northampton Square, London EC1V 0HB, UK; (M.M.); (K.B.); (M.Q.); (P.A.K.)
| | - Meha Qassem
- Research Center for Biomedical Engineering, University of London, Northampton Square, London EC1V 0HB, UK; (M.M.); (K.B.); (M.Q.); (P.A.K.)
| | - Pankaj Vadgama
- Interdisciplinary Research Centre (IRC) in Biomedical Materials, Queen Mary University of London, Mile End Road, London E1 4NS, UK;
| | - Panayiotis A. Kyriacou
- Research Center for Biomedical Engineering, University of London, Northampton Square, London EC1V 0HB, UK; (M.M.); (K.B.); (M.Q.); (P.A.K.)
| |
Collapse
|