1
|
Inman JL, Wu Y, Chen L, Brydon E, Ghosh D, Wan KH, De Chant J, Obst-Huebl L, Nakamura K, Ralston CY, Celniker SE, Mao JH, Zwart PH, Holman HYN, Chang H, Brown JB, Snijders AM. Long-term, non-invasive FTIR detection of low-dose ionizing radiation exposure. Sci Rep 2024; 14:6119. [PMID: 38480827 PMCID: PMC10937999 DOI: 10.1038/s41598-024-56491-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 03/07/2024] [Indexed: 03/17/2024] Open
Abstract
Non-invasive methods of detecting radiation exposure show promise to improve upon current approaches to biological dosimetry in ease, speed, and accuracy. Here we developed a pipeline that employs Fourier transform infrared (FTIR) spectroscopy in the mid-infrared spectrum to identify a signature of low dose ionizing radiation exposure in mouse ear pinnae over time. Mice exposed to 0.1 to 2 Gy total body irradiation were repeatedly measured by FTIR at the stratum corneum of the ear pinnae. We found significant discriminative power for all doses and time-points out to 90 days after exposure. Classification accuracy was maximized when testing 14 days after exposure (specificity > 0.9 with a sensitivity threshold of 0.9) and dropped by roughly 30% sensitivity at 90 days. Infrared frequencies point towards biological changes in DNA conformation, lipid oxidation and accumulation and shifts in protein secondary structure. Since only hundreds of samples were used to learn the highly discriminative signature, developing human-relevant diagnostic capabilities is likely feasible and this non-invasive procedure points toward rapid, non-invasive, and reagent-free biodosimetry applications at population scales.
Collapse
Affiliation(s)
- Jamie L Inman
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
| | - Yulun Wu
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
- Department of Statistics, University of California, Berkeley, CA, 94720, USA
| | - Liang Chen
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
| | - Ella Brydon
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
| | - Dhruba Ghosh
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, USA
| | - Kenneth H Wan
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
| | - Jared De Chant
- Accelerator Technology and Applied Physics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
| | - Lieselotte Obst-Huebl
- Accelerator Technology and Applied Physics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
| | - Kei Nakamura
- Accelerator Technology and Applied Physics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
| | - Corie Y Ralston
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
| | - Susan E Celniker
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
| | - Jian-Hua Mao
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
| | - Peter H Zwart
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA
| | - Hoi-Ying N Holman
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA.
| | - Hang Chang
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA.
| | - James B Brown
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA.
- Department of Statistics, University of California, Berkeley, CA, 94720, USA.
| | - Antoine M Snijders
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA.
| |
Collapse
|
2
|
Ladeira C, Araújo R, Ramalhete L, Teixeira H, Calado CRC. Blood molecular profile to predict genotoxicity from exposure to antineoplastic drugs. MUTATION RESEARCH. GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS 2023; 891:503681. [PMID: 37770138 DOI: 10.1016/j.mrgentox.2023.503681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 08/07/2023] [Accepted: 08/10/2023] [Indexed: 10/03/2023]
Abstract
Genotoxicity is an important information that should be included in human biomonitoring programmes. However, the usually applied cytogenetic assays are laborious and time-consuming, reason why it is critical to develop rapid and economic new methods. The aim of this study was to evaluate if the molecular profile of frozen whole blood, acquired by Fourier Transform Infrared (FTIR) spectroscopy, allows to assess genotoxicity in occupational exposure to antineoplastic drugs, as obtained by the cytokinesis-block micronucleus assay. For that purpose, 92 samples of peripheral blood were studied: 46 samples from hospital professionals occupationally exposed to antineoplastic drugs and 46 samples from workers in academia without exposure (controls). It was first evaluated the metabolome from frozen whole blood by methanol precipitation of macromolecules as haemoglobin, followed by centrifugation. The metabolome molecular profile resulted in 3 ratios of spectral bands, significantly different between the exposed and non-exposed group (p < 0.01) and a spectral principal component-linear discriminant analysis (PCA-LDA) model enabling to predict genotoxicity from exposure with 73 % accuracy. After optimization of the dilution degree and solution used, it was possible to obtain a higher number of significant ratios of spectral bands, i.e., 10 ratios significantly different (p < 0.001), highlighting the high sensitivity and specificity of the method. Indeed, the PCA-LDA model, based on the molecular profile of whole blood, enabled to predict genotoxicity from the exposure with an accuracy, sensitivity, and specificity of 92 %, 93 % and 91 %, respectively. All these parameters were achieved based on 1 μL of frozen whole blood, in a high-throughput mode, i.e., based on the simultaneous analysis of 92 samples, in a simple and economic mode. In summary, it can be conclude that this method presents a very promising potential for high-dimension screening of exposure to genotoxic substances.
Collapse
Affiliation(s)
- Carina Ladeira
- H&TRC - Health & Technology Research Center, Escola Superior de Tecnologia da Saúde de Lisboa (ESTeSL), Instituto Politécnico de Lisboa, Avenida D. João II, lote 4.69.01, Parque das Nações, 1990-096 Lisboa, Portugal; NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal; Comprehensive Health Research Center (CHRC), Universidade NOVA de Lisboa, Portugal.
| | - Rúben Araújo
- Comprehensive Health Research Center (CHRC), Universidade NOVA de Lisboa, Portugal; ISEL - Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, R. Conselheiro Emidio Navarro 1, 1959‑007 Lisboa, Portugal; NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisbon, Portugal
| | - Luís Ramalhete
- ISEL - Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, R. Conselheiro Emidio Navarro 1, 1959‑007 Lisboa, Portugal; Blood and Transplantation Center of Lisbon, Instituto Português do Sangue e da Transplantação, Alameda das Linhas de Torres, n◦ 117, 1769-001 Lisbon, Portugal; NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisbon, Portugal
| | - Hélder Teixeira
- ISEL - Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, R. Conselheiro Emidio Navarro 1, 1959‑007 Lisboa, Portugal
| | - Cecília R C Calado
- ISEL - Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, R. Conselheiro Emidio Navarro 1, 1959‑007 Lisboa, Portugal; CIMOSM - Centro de Investigação em Modelação e Otimização de Sistemas Multifuncionais, ISEL - Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, R. Conselheiro Emidio Navarro 1, 1959‑007 Lisboa, Portugal
| |
Collapse
|
3
|
Mokari A, Guo S, Bocklitz T. Exploring the Steps of Infrared (IR) Spectral Analysis: Pre-Processing, (Classical) Data Modelling, and Deep Learning. Molecules 2023; 28:6886. [PMID: 37836728 PMCID: PMC10574384 DOI: 10.3390/molecules28196886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/13/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
Infrared (IR) spectroscopy has greatly improved the ability to study biomedical samples because IR spectroscopy measures how molecules interact with infrared light, providing a measurement of the vibrational states of the molecules. Therefore, the resulting IR spectrum provides a unique vibrational fingerprint of the sample. This characteristic makes IR spectroscopy an invaluable and versatile technology for detecting a wide variety of chemicals and is widely used in biological, chemical, and medical scenarios. These include, but are not limited to, micro-organism identification, clinical diagnosis, and explosive detection. However, IR spectroscopy is susceptible to various interfering factors such as scattering, reflection, and interference, which manifest themselves as baseline, band distortion, and intensity changes in the measured IR spectra. Combined with the absorption information of the molecules of interest, these interferences prevent direct data interpretation based on the Beer-Lambert law. Instead, more advanced data analysis approaches, particularly artificial intelligence (AI)-based algorithms, are required to remove the interfering contributions and, more importantly, to translate the spectral signals into high-level biological/chemical information. This leads to the tasks of spectral pre-processing and data modeling, the main topics of this review. In particular, we will discuss recent developments in both tasks from the perspectives of classical machine learning and deep learning.
Collapse
Affiliation(s)
- Azadeh Mokari
- Leibniz Institute of Photonic Technology, Member of Research Alliance “Leibniz Health Technologies”, 07745 Jena, Germany (S.G.)
- Institute of Physical Chemistry, Friedrich Schiller University Jena, 07743 Jena, Germany
| | - Shuxia Guo
- Leibniz Institute of Photonic Technology, Member of Research Alliance “Leibniz Health Technologies”, 07745 Jena, Germany (S.G.)
| | - Thomas Bocklitz
- Leibniz Institute of Photonic Technology, Member of Research Alliance “Leibniz Health Technologies”, 07745 Jena, Germany (S.G.)
- Institute of Physical Chemistry, Friedrich Schiller University Jena, 07743 Jena, Germany
- Institute of Computer Science, Faculty of Mathematics, Physics & Computer Science, University Bayreuth, Universitaet sstraße 30, 95447 Bayreuth, Germany
| |
Collapse
|
4
|
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
|
5
|
Caixeta DC, Lima C, Xu Y, Guevara-Vega M, Espindola FS, Goodacre R, Zezell DM, Sabino-Silva R. Monitoring glucose levels in urine using FTIR spectroscopy combined with univariate and multivariate statistical methods. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 290:122259. [PMID: 36584643 DOI: 10.1016/j.saa.2022.122259] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 12/12/2022] [Accepted: 12/16/2022] [Indexed: 06/17/2023]
Abstract
The development of novel platforms for non-invasive continuous glucose monitoring applied in the screening and monitoring of diabetes is crucial to improve diabetes surveillance systems. Attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy of urine can be an alternative as a sustainable, label-free, fast, non-invasive, and highly sensitive analysis to detect changes in urine promoted by diabetes and insulin treatment. In this study, we used ATR-FTIR to evaluate the urinary components of non-diabetic (ND), diabetic (D), and diabetic insulin-treated (D + I) rats. As expected, insulin treatment was capable to revert changes in glycemia, 24-h urine collection volume, urine creatinine, urea, and glucose excretion promoted by diabetes. Several differences in the urine spectra of ND, D, and D + I were observed, with urea, creatinine, and glucose analytes being related to these changes. Principal components analysis (PCA) scores plots allowed for the discrimination of ND and D + I from D with an accuracy of ∼ 99 %. The PCA loadings associated with PC1 confirmed the importance of urea and glucose vibrational modes for this discrimination. Univariate analysis of second derivative spectra showed a high correlation (r: 0.865, p < 0.0001) between the height of 1074 cm-1 vibrational mode with urinary glucose concentration. In order to estimate the amount of glucose present in the infrared spectra from urine, multivariate curve resolution-alternating least square (MCR-ALS) was applied and a higher predicted concentration of glucose in the urine was observed with a correlation of 78.9 % compared to urinary glucose concentration assessed using enzyme assays. In summary, ATR-FTIR combined with univariate and multivariate chemometric analyses provides an innovative, non-invasive, and sustainable approach to diabetes surveillance.
Collapse
Affiliation(s)
- Douglas Carvalho Caixeta
- Innovation Center in Salivary Diagnostics and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Brazil.
| | - Cassio Lima
- Center for Lasers and Applications, Nuclear and Energy Research Institute, IPEN-CNEN/SP, São Paulo, Brazil; Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom.
| | - Yun Xu
- Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom.
| | - Marco Guevara-Vega
- Innovation Center in Salivary Diagnostics and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Brazil.
| | | | - Royston Goodacre
- Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom.
| | - Denise Maria Zezell
- Center for Lasers and Applications, Nuclear and Energy Research Institute, IPEN-CNEN/SP, São Paulo, Brazil.
| | - Robinson Sabino-Silva
- Innovation Center in Salivary Diagnostics and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Brazil.
| |
Collapse
|
6
|
Mateus Pereira de Souza N, Hunter Machado B, Koche A, Beatriz Fernandes da Silva Furtado L, Becker D, Antonio Corbellini V, Rieger A. Detection of metabolic syndrome with ATR-FTIR spectroscopy and chemometrics in blood plasma. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 288:122135. [PMID: 36442341 DOI: 10.1016/j.saa.2022.122135] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/02/2022] [Accepted: 11/16/2022] [Indexed: 06/16/2023]
Abstract
Metabolic Syndrome (MetS) is a constellation of 3 or more risk factor (abdominal obesity, high triglycerides, low HDL-c, high blood pressure, and elevated blood glucose) for atherosclerotic cardiovascular disease. Considering these systemic metabolic changes in the biochemical pathways of all biomolecules, Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) spectroscopy is a rapid, low-cost, and reagent-free alternative technique capable of identifying spectral biomarkers that differentiate subjects with MetS from control. In this study, plasma samples from 74 subjects (14 MetS, 60 control) were analyzed on the ATR-FTIR spectrophotometer. The objective was to differentiate subjects with MetS from control with supervised chemometrics modeling (Orthogonal Partial Least Squares-Discriminant Analysis, OPLS-DA). Additionally, the inflammatory status of subjects with MetS and control (supervised by C-reactive protein - CRP, leptin, and cell-free DNA - cfDNA) was verified. The OPLS-DA model achieved 100% sensitivity and specificity in cross-validation. For 1 latent variable (93.4% of variance), RMSECV < 0.002, PRESS CV < 0.0001, and R2 > 0.9999 was obtained. Significant spectrochemical differences (p < 0.05) were found between MetS and control subjects in the following biomolecular regions (cm-1): 1717-1703 [ν(CO) and δ(NH)], 1166-1137 [ν(C-OH) + ν(CO) and ν(CC) + δ(OH) + ν(CO)], 1113-1040 [ν(PO2-) and ν(C-OH)], and 1027-1008 [ν(CO) and v(CH2OH)]. In the OPLS-DA model loadings, amide I [1720-1600 cm-1, ν(CO)] and amide II [1570-1480 cm-1, δ(NH) + ν(CH)] had significantly greater weight than all other regions. There was a significant difference in inflammatory status between MetS patient and control (p < 0.05 for CRP and leptin, and p < 0.01 for cfDNA).
Collapse
Affiliation(s)
| | - Brenda Hunter Machado
- International Affairs, International University Centre, Santa Cruz do Sul, RS, Brazil.
| | - Andreia Koche
- Department of Life Sciences, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil.
| | | | - Débora Becker
- Bachelor of Biological Sciences, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil
| | - Valeriano Antonio Corbellini
- Department of Sciences, Humanities and, Education, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil; Postgraduate Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil; Postgraduate Program in Environmental Technology, University of Santa Cruz do Sul, RS, Brazil.
| | - Alexandre Rieger
- Department of Life Sciences, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil; Postgraduate Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil; Postgraduate Program in Environmental Technology, University of Santa Cruz do Sul, RS, Brazil.
| |
Collapse
|
7
|
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.
Collapse
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
| |
Collapse
|
8
|
Application of Advanced Non-Linear Spectral Decomposition and Regression Methods for Spectroscopic Analysis of Targeted and Non-Targeted Irradiation Effects in an In-Vitro Model. Int J Mol Sci 2022; 23:ijms232112986. [DOI: 10.3390/ijms232112986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/30/2022] [Accepted: 10/11/2022] [Indexed: 12/24/2022] Open
Abstract
Irradiation of the tumour site during treatment for cancer with external-beam ionising radiation results in a complex and dynamic series of effects in both the tumour itself and the normal tissue which surrounds it. The development of a spectral model of the effect of each exposure and interaction mode between these tissues would enable label free assessment of the effect of radiotherapeutic treatment in practice. In this study Fourier transform Infrared microspectroscopic imaging was employed to analyse an in-vitro model of radiotherapeutic treatment for prostate cancer, in which a normal cell line (PNT1A) was exposed to low-dose X-ray radiation from the scattered treatment beam, and also to irradiated cell culture medium (ICCM) from a cancer cell line exposed to a treatment relevant dose (2 Gy). Various exposure modes were studied and reference was made to previously acquired data on cellular survival and DNA double strand break damage. Spectral analysis with manifold methods, linear spectral fitting, non-linear classification and non-linear regression approaches were found to accurately segregate spectra on irradiation type and provide a comprehensive set of spectral markers which differentiate on irradiation mode and cell fate. The study demonstrates that high dose irradiation, low-dose scatter irradiation and radiation-induced bystander exposure (RIBE) signalling each produce differential effects on the cell which are observable through spectroscopic analysis.
Collapse
|
9
|
Detection of Prostate Cancer via IR Spectroscopic Analysis of Urinary Extracellular Vesicles: A Pilot Study. MEMBRANES 2021; 11:membranes11080591. [PMID: 34436354 PMCID: PMC8401611 DOI: 10.3390/membranes11080591] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/28/2021] [Accepted: 07/29/2021] [Indexed: 01/08/2023]
Abstract
Extracellular vesicles (EVs) are membranous nanoparticles naturally released from living cells which can be found in all types of body fluids. Recent studies found that cancer cells secreted EVs containing the unique set of biomolecules, which give rise to a distinctive absorbance spectrum representing its cancer type. In this study, we aimed to detect the medium EVs (200–300 nm) from the urine of prostate cancer patients using Fourier transform infrared (FTIR) spectroscopy and determine their association with cancer progression. EVs extracted from 53 urine samples from patients suspected of prostate cancer were analyzed and their FTIR spectra were preprocessed for analysis. Characterization of morphology, particle size and marker proteins confirmed that EVs were successfully isolated from urine samples. Principal component analysis (PCA) of the EV’s spectra showed the model could discriminate prostate cancer with a sensitivity of 59% and a specificity of 81%. The area under curve (AUC) of FTIR PCA model for prostate cancer detection in the cases with 4–20 ng/mL PSA was 0.7, while the AUC for PSA alone was 0.437, suggesting the analysis of urinary EVs described in this study may offer a novel strategy for the development of a noninvasive additional test for prostate cancer screening.
Collapse
|
10
|
Howe O, Lyng FM, Mothersill C. Women's contributions to radiobiology in Ireland; from small beginnings…. Int J Radiat Biol 2021; 98:331-340. [PMID: 34010091 DOI: 10.1080/09553002.2021.1931529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVES To describe the contribution of women radiobiologists in Ireland to the development of the discipline internationally and at home and to discuss the history of radiobiology in Ireland to date. This parallels the history of the evolution of a small radiobiology group in Kevin Street, Dublin Institute of Technology (DIT) which was formerly part of the City of Dublin Vocational Education Committee. There followed years of development first as a radiobiological research center which evolved in the FOCAS Research Institute now embedded within Technological University Dublin (TU Dublin). CONCLUSIONS Over the last 45 years, the women of the Radiation and Environmental Science Centre (RESC) contributed to the major paradigm shift in low dose radiobiology contributing exciting new research concerning non-targeted effects, including discovery of lethal mutations, medium transfer bystander mechanisms, and signaling pathways. They also developed translational research using human explant culture systems with unique immunocytochemical methods and more recently evolved to molecular and spectroscopic analysis of clinical samples. The RESC also developed unique in vitro research methods into effects of radiation on non-human species of concern in ecosystems.
Collapse
Affiliation(s)
- Orla Howe
- School of Biological and Health Sciences, Technological University Dublin, Dublin, Ireland.,Radiation and Environmental Science Centre, FOCAS Research Institute, Dublin, Ireland
| | - Fiona M Lyng
- Radiation and Environmental Science Centre, FOCAS Research Institute, Dublin, Ireland.,School of Physics & Clinical & Optometric Sciences, Technological University Dublin, Dublin, Ireland
| | - Carmel Mothersill
- Radiation and Environmental Science Centre, FOCAS Research Institute, Dublin, Ireland.,Department of Biology, Life Sciences building, McMaster University, Hamilton, Canada
| |
Collapse
|
11
|
Depciuch J, Barnaś E, Skręt-Magierło J, Skręt A, Kaznowska E, Łach K, Jakubczyk P, Cebulski J. Spectroscopic evaluation of carcinogenesis in endometrial cancer. Sci Rep 2021; 11:9079. [PMID: 33907297 PMCID: PMC8079695 DOI: 10.1038/s41598-021-88640-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 04/08/2021] [Indexed: 12/13/2022] Open
Abstract
Carcinogenesis is a multifaceted process of cancer formation. The transformation of normal cells into cancerous ones may be difficult to determine at a very early stage. Therefore, methods enabling identification of initial changes caused by cancer require novel approaches. Although physical spectroscopic methods such as FT-Raman and Fourier Transform InfraRed (FTIR) are used to detect chemical changes in cancer tissues, their potential has not been investigated with respect to carcinogenesis. The study aimed to evaluate the usefulness of FT-Raman and FTIR spectroscopy as diagnostic methods of endometrial cancer carcinogenesis. The results indicated development of endometrial cancer was accompanied with chemical changes in nucleic acid, amide I and lipids in Raman spectra. FTIR spectra showed that tissues with development of carcinogenesis were characterized by changes in carbohydrates and amides vibrations. Principal component analysis and hierarchical cluster analysis of Raman spectra demonstrated similarity of tissues with cancer cells and lesions considered precursor of cancer (complex atypical hyperplasia), however they differed from the control samples. Pearson correlation test showed correlation between cancer and complex atypical hyperplasia tissues and between non-cancerous tissue samples. The results of the study indicate that Raman spectroscopy is more effective in assessing the development of carcinogenesis in endometrial cancer than FTIR.
Collapse
Affiliation(s)
- Joanna Depciuch
- Institute of Nuclear Physics, Polish Academy of Science, 31-342, Krakow, Poland.
| | - Edyta Barnaś
- Institute of Health Sciences, Medical College, University of Rzeszow, Kopisto 2a, 35-959, Rzeszow, Poland
| | - Joanna Skręt-Magierło
- Institute of Medical Sciences, Medical College, University of Rzeszow, Kopisto 2a, 35-959, Rzeszow, Poland
| | - Andrzej Skręt
- Institute of Medical Sciences, Medical College, University of Rzeszow, Kopisto 2a, 35-959, Rzeszow, Poland
| | - Ewa Kaznowska
- Chair of Morphological Sciences, Department of Pathomorphology, Medical College, University of Rzeszow, Kopisto 2a , 35-959, Rzeszow, Poland
| | - Kornelia Łach
- Department of Pediatrics, Institute of Medical Sciences, Medical College, University of Rzeszow, Warzywna 1A, 35-310, Rzeszow, Poland
| | - Paweł Jakubczyk
- Institute of Physics, College of Natural Sciences, University of Rzeszow, Pigonia 1, 35-310, Rzeszow, Poland
| | - Jozef Cebulski
- Institute of Physics, College of Natural Sciences, University of Rzeszow, Pigonia 1, 35-310, Rzeszow, Poland
| |
Collapse
|
12
|
Huber M, Kepesidis KV, Voronina L, Božić M, Trubetskov M, Harbeck N, Krausz F, Žigman M. Stability of person-specific blood-based infrared molecular fingerprints opens up prospects for health monitoring. Nat Commun 2021; 12:1511. [PMID: 33686065 PMCID: PMC7940620 DOI: 10.1038/s41467-021-21668-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 02/03/2021] [Indexed: 01/31/2023] Open
Abstract
Health state transitions are reflected in characteristic changes in the molecular composition of biofluids. Detecting these changes in parallel, across a broad spectrum of molecular species, could contribute to the detection of abnormal physiologies. Fingerprinting of biofluids by infrared vibrational spectroscopy offers that capacity. Whether its potential for health monitoring can indeed be exploited critically depends on how stable infrared molecular fingerprints (IMFs) of individuals prove to be over time. Here we report a proof-of-concept study that addresses this question. Using Fourier-transform infrared spectroscopy, we have fingerprinted blood serum and plasma samples from 31 healthy, non-symptomatic individuals, who were sampled up to 13 times over a period of 7 weeks and again after 6 months. The measurements were performed directly on liquid serum and plasma samples, yielding a time- and cost-effective workflow and a high degree of reproducibility. The resulting IMFs were found to be highly stable over clinically relevant time scales. Single measurements yielded a multiplicity of person-specific spectral markers, allowing individual molecular phenotypes to be detected and followed over time. This previously unknown temporal stability of individual biochemical fingerprints forms the basis for future applications of blood-based infrared spectral fingerprinting as a multiomics-based mode of health monitoring.
Collapse
Affiliation(s)
- Marinus Huber
- grid.5252.00000 0004 1936 973XDepartment of Physics, Ludwig Maximilian University of Munich, Garching, Germany ,grid.450272.60000 0001 1011 8465Max Planck Institute of Quantum Optics, Garching, Germany
| | - Kosmas V. Kepesidis
- grid.5252.00000 0004 1936 973XDepartment of Physics, Ludwig Maximilian University of Munich, Garching, Germany
| | - Liudmila Voronina
- grid.5252.00000 0004 1936 973XDepartment of Physics, Ludwig Maximilian University of Munich, Garching, Germany ,grid.450272.60000 0001 1011 8465Max Planck Institute of Quantum Optics, Garching, Germany
| | - Maša Božić
- grid.5252.00000 0004 1936 973XDepartment of Physics, Ludwig Maximilian University of Munich, Garching, Germany
| | - Michael Trubetskov
- grid.450272.60000 0001 1011 8465Max Planck Institute of Quantum Optics, Garching, Germany
| | - Nadia Harbeck
- grid.5252.00000 0004 1936 973XDepartment of Obstetrics and Gynecology, Breast Center and Comprehensive Cancer Center (CCLMU), Hospital of the Ludwig Maximilian University (LMU), Munich, Germany
| | - Ferenc Krausz
- grid.5252.00000 0004 1936 973XDepartment of Physics, Ludwig Maximilian University of Munich, Garching, Germany ,grid.450272.60000 0001 1011 8465Max Planck Institute of Quantum Optics, Garching, Germany ,Center for Molecular Fingerprinting (CMF), Budapest, Hungary
| | - Mihaela Žigman
- grid.5252.00000 0004 1936 973XDepartment of Physics, Ludwig Maximilian University of Munich, Garching, Germany ,grid.450272.60000 0001 1011 8465Max Planck Institute of Quantum Optics, Garching, Germany ,Center for Molecular Fingerprinting (CMF), Budapest, Hungary
| |
Collapse
|
13
|
New Discoveries in Radiation Science. Cancers (Basel) 2021; 13:cancers13051034. [PMID: 33801176 PMCID: PMC7957593 DOI: 10.3390/cancers13051034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 02/18/2021] [Accepted: 02/23/2021] [Indexed: 01/15/2023] Open
|
14
|
A Comparison between FTIR Spectra from HUKE and SH-SY5Y Cell Lines Grown on Different Substrates. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10248825] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
In recent years, Fourier Transform Infrared (FTIR) micro-spectroscopy has shown promising potential in medical diagnostics at the cellular level. In fact, FTIR spectra can provide information related to DNA, protein, and lipid content and how such a content changes when a pathological state arises. Most of these information is included in the so-called fingerprint region (1000–1800 cm−1), consisting of several spectral peaks related to vibrational modes occurring inside cellular components. Unfortunately, the slides commonly used in cytology (as the glass microscopy slides and coverslips) are opaque to IR radiation in the fingerprint region, whereas they are transparent for wavenumber values larger than 2000 cm−1, where few and broad spectral absorption bands, mainly due to lipids and proteins, are present. Nonetheless, here we show that FTIR spectra performed in the high wavenumber range 2750–3000 cm−1 can be used to discriminate two different types of cells, one from a normal cell line (Human Keratinocyte, HUKE) and the other from a cancer one (SH-SY5Y). The spectra are discriminated by means of their Principal Component Analysis, according to the PC1 component, and by means of ratiometric analysis, according to the ratio of the intensity of the peak at 2956 cm−1 and that of the peak at 2924 cm−1. The PC1 score values of the HUKE are statistically different from the PC1 score values of SH-SY5Y, whereas the intensity ratio results larger for SH-SY5Y than for HUKE cells. Such results occur for different substrates over which the cells have been grown, including the thick glass slides used for cytological analysis. This result is a further step toward the application of FTIR microspectroscopy in the cytological routine diagnosis.
Collapse
|
15
|
Nguyen TNQ, Maguire A, Mooney C, Jackson N, Lynam‐Lennon N, Weldon V, Muldoon C, Maguire AA, O'Toole D, Ravi N, Reynolds JV, O'Sullivan J, Meade AD. Prediction of pathological response to neo‐adjuvant chemoradiotherapy for oesophageal cancer using vibrational spectroscopy. TRANSLATIONAL BIOPHOTONICS 2020. [DOI: 10.1002/tbio.202000014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Affiliation(s)
- Thi N. Q. Nguyen
- Centre for Radiation and Environmental Science, Focas Research Institute Technological University Dublin Dublin Ireland
- School of Physics and Clinical and Optometric Sciences Technological University Dublin Dublin Ireland
| | - Adrian Maguire
- Centre for Radiation and Environmental Science, Focas Research Institute Technological University Dublin Dublin Ireland
| | - Catherine Mooney
- School of Computer Science University College Dublin Dublin Ireland
| | - Naomi Jackson
- Centre for Radiation and Environmental Science, Focas Research Institute Technological University Dublin Dublin Ireland
| | - Niamh Lynam‐Lennon
- Trinity Translational Medicine Institute, Department of Surgery, Trinity College Dublin St James's Hospital Dublin Ireland
| | - Vicki Weldon
- Centre for Radiation and Environmental Science, Focas Research Institute Technological University Dublin Dublin Ireland
- School of Physics and Clinical and Optometric Sciences Technological University Dublin Dublin Ireland
| | - Cian Muldoon
- Department of Histopathology St. James's Hospital Dublin Ireland
| | - Aoife A. Maguire
- Department of Histopathology St. James's Hospital Dublin Ireland
| | - D. O'Toole
- Department of Histopathology St. James's Hospital Dublin Ireland
| | - Narayanasamy Ravi
- Trinity Translational Medicine Institute, Department of Surgery, Trinity College Dublin St James's Hospital Dublin Ireland
| | - John V. Reynolds
- Trinity Translational Medicine Institute, Department of Surgery, Trinity College Dublin St James's Hospital Dublin Ireland
| | - Jacintha O'Sullivan
- Trinity Translational Medicine Institute, Department of Surgery, Trinity College Dublin St James's Hospital Dublin Ireland
| | - Aidan D. Meade
- Centre for Radiation and Environmental Science, Focas Research Institute Technological University Dublin Dublin Ireland
- School of Physics and Clinical and Optometric Sciences Technological University Dublin Dublin Ireland
| |
Collapse
|
16
|
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
|
17
|
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
|