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Harris G, Stickland CA, Lim M, Goldberg Oppenheimer P. Raman Spectroscopy Spectral Fingerprints of Biomarkers of Traumatic Brain Injury. Cells 2023; 12:2589. [PMID: 37998324 PMCID: PMC10670390 DOI: 10.3390/cells12222589] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/02/2023] [Accepted: 11/06/2023] [Indexed: 11/25/2023] Open
Abstract
Traumatic brain injury (TBI) affects millions of people of all ages around the globe. TBI is notoriously hard to diagnose at the point of care, resulting in incorrect patient management, avoidable death and disability, long-term neurodegenerative complications, and increased costs. It is vital to develop timely, alternative diagnostics for TBI to assist triage and clinical decision-making, complementary to current techniques such as neuroimaging and cognitive assessment. These could deliver rapid, quantitative TBI detection, by obtaining information on biochemical changes from patient's biofluids. If available, this would reduce mis-triage, save healthcare providers costs (both over- and under-triage are expensive) and improve outcomes by guiding early management. Herein, we utilize Raman spectroscopy-based detection to profile a panel of 18 raw (human, animal, and synthetically derived) TBI-indicative biomarkers (N-acetyl-aspartic acid (NAA), Ganglioside, Glutathione (GSH), Neuron Specific Enolase (NSE), Glial Fibrillary Acidic Protein (GFAP), Ubiquitin C-terminal Hydrolase L1 (UCHL1), Cholesterol, D-Serine, Sphingomyelin, Sulfatides, Cardiolipin, Interleukin-6 (IL-6), S100B, Galactocerebroside, Beta-D-(+)-Glucose, Myo-Inositol, Interleukin-18 (IL-18), Neurofilament Light Chain (NFL)) and their aqueous solution. The subsequently derived unique spectral reference library, exploiting four excitation lasers of 514, 633, 785, and 830 nm, will aid the development of rapid, non-destructive, and label-free spectroscopy-based neuro-diagnostic technologies. These biomolecules, released during cellular damage, provide additional means of diagnosing TBI and assessing the severity of injury. The spectroscopic temporal profiles of the studied biofluid neuro-markers are classed according to their acute, sub-acute, and chronic temporal injury phases and we have further generated detailed peak assignment tables for each brain-specific biomolecule within each injury phase. The intensity ratios of significant peaks, yielding the combined unique spectroscopic barcode for each brain-injury marker, are compared to assess variance between lasers, with the smallest variance found for UCHL1 (σ2 = 0.000164) and the highest for sulfatide (σ2 = 0.158). Overall, this work paves the way for defining and setting the most appropriate diagnostic time window for detection following brain injury. Further rapid and specific detection of these biomarkers, from easily accessible biofluids, would not only enable the triage of TBI, predict outcomes, indicate the progress of recovery, and save healthcare providers costs, but also cement the potential of Raman-based spectroscopy as a powerful tool for neurodiagnostics.
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Affiliation(s)
- Georgia Harris
- Advanced Nanomaterials Structures and Applications Laboratories, School of Chemical Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Clarissa A. Stickland
- Advanced Nanomaterials Structures and Applications Laboratories, School of Chemical Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Matthias Lim
- Advanced Nanomaterials Structures and Applications Laboratories, School of Chemical Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Pola Goldberg Oppenheimer
- Advanced Nanomaterials Structures and Applications Laboratories, School of Chemical Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
- Institute of Healthcare Technologies, Mindelsohn Way, Birmingham B15 2TH, UK
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2
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Postnikov EB, Wasiak M, Bartoszek M, Polak J, Zyubin A, Lavrova AI, Chora̧żewski M. Accessing Properties of Molecular Compounds Involved in Cellular Metabolic Processes with Electron Paramagnetic Resonance, Raman Spectroscopy, and Differential Scanning Calorimetry. Molecules 2023; 28:6417. [PMID: 37687246 PMCID: PMC10490169 DOI: 10.3390/molecules28176417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 08/29/2023] [Accepted: 09/01/2023] [Indexed: 09/10/2023] Open
Abstract
In this work, we review some physical methods of macroscopic experiments, which have been recently argued to be promising for the acquisition of valuable characteristics of biomolecular structures and interactions. The methods we focused on are electron paramagnetic resonance spectroscopy, Raman spectroscopy, and differential scanning calorimetry. They were chosen since it can be shown that they are able to provide a mutually complementary picture of the composition of cellular envelopes (with special attention paid to mycobacteria), transitions between their molecular patterning, and the response to biologically active substances (reactive oxygen species and their antagonists-antioxidants-as considered in our case study).
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Affiliation(s)
- Eugene B. Postnikov
- Theoretical Physics Department, Kursk State University, Radishcheva St. 33, 305000 Kursk, Russia
| | - Michał Wasiak
- Department of Physical Chemistry, University of Lódź, ul. Pomorska 165, 90-236 Lódź, Poland;
| | - Mariola Bartoszek
- Institute of Chemistry, University of Silesia in Katowice, ul. Szkolna 9, 40-006 Katowice, Poland; (M.B.); (J.P.)
| | - Justyna Polak
- Institute of Chemistry, University of Silesia in Katowice, ul. Szkolna 9, 40-006 Katowice, Poland; (M.B.); (J.P.)
| | - Andrey Zyubin
- Sophya Kovalevskaya North-West Mathematical Research Center, Immanuel Kant Baltic Federal University, Nevskogo St. 14, 236041 Kaliningrad, Russia; (A.Z.); (A.I.L.)
| | - Anastasia I. Lavrova
- Sophya Kovalevskaya North-West Mathematical Research Center, Immanuel Kant Baltic Federal University, Nevskogo St. 14, 236041 Kaliningrad, Russia; (A.Z.); (A.I.L.)
- Saint-Petersburg State Research Institute of Phthisiopulmonology, Ligovskiy Prospect 2-4, 194064 Saint Petersburg, Russia
| | - Mirosław Chora̧żewski
- Institute of Chemistry, University of Silesia in Katowice, ul. Szkolna 9, 40-006 Katowice, Poland; (M.B.); (J.P.)
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3
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Delrue C, Speeckaert MM. The Potential Applications of Raman Spectroscopy in Kidney Diseases. J Pers Med 2022; 12:jpm12101644. [PMID: 36294783 PMCID: PMC9604710 DOI: 10.3390/jpm12101644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/09/2022] [Accepted: 09/29/2022] [Indexed: 12/23/2022] Open
Abstract
Raman spectroscopy (RS) is a spectroscopic technique based on the inelastic interaction of incident electromagnetic radiation (from a laser beam) with a polarizable molecule, which, when scattered, carries information from molecular vibrational energy (the Raman effect). RS detects biochemical changes in biological samples at the molecular level, making it an effective analytical technique for disease diagnosis and prognosis. It outperforms conventional sample preservation techniques by requiring no chemical reagents, reducing analysis time even at low concentrations, and working in the presence of interfering agents or solvents. Because routinely utilized biomarkers for kidney disease have limitations, there is considerable interest in the potential use of RS. RS may identify and quantify urinary and blood biochemical components, with results comparable to reference methods in nephrology.
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Affiliation(s)
- Charlotte Delrue
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Marijn M. Speeckaert
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium
- Research Foundation-Flanders (FWO), 1000 Brussels, Belgium
- Correspondence: ; Tel.: +32-9-332-4509
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4
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Ullah U, Tahir Z, Qazi O, Mirza S, Cheema MI. Raman spectroscopy and machine learning-based optical probe for tuberculosis diagnosis via sputum. Tuberculosis (Edinb) 2022; 136:102251. [DOI: 10.1016/j.tube.2022.102251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/10/2022] [Accepted: 08/24/2022] [Indexed: 11/26/2022]
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5
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Dastgir G, Majeed MI, Nawaz H, Rashid N, Raza A, Ali MZ, Shakeel M, Javed M, Ehsan U, Ishtiaq S, Fatima R, Abdulraheem A. Surface-enhanced Raman spectroscopy of polymerase chain reaction (PCR) products of Rifampin resistant and susceptible tuberculosis patients. Photodiagnosis Photodyn Ther 2022; 38:102758. [DOI: 10.1016/j.pdpdt.2022.102758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/25/2022] [Accepted: 02/10/2022] [Indexed: 10/19/2022]
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Akbar S, Majeed MI, Nawaz H, Rashid N, Tariq A, Hameed W, Shakeel S, Dastgir G, Bari RZA, Iqbal M, Nawaz A, Akram M. Surface-Enhanced Raman Spectroscopic (SERS) Characterization of Low Molecular Weight Fraction of the Serum of Breast Cancer Patients with Principal Component Analysis (PCA) and Partial Least Square-Discriminant Analysis (PLS-DA). ANAL LETT 2021. [DOI: 10.1080/00032719.2021.2017948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Saba Akbar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | | | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad, Pakistan
| | - Ayesha Tariq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Wajeeha Hameed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Samra Shakeel
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Ghulam Dastgir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Rana Zaki Abdul Bari
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Maham Iqbal
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Amna Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Maria Akram
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
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Hackshaw KV, Miller JS, Aykas DP, Rodriguez-Saona L. Vibrational Spectroscopy for Identification of Metabolites in Biologic Samples. Molecules 2020; 25:E4725. [PMID: 33076318 PMCID: PMC7587585 DOI: 10.3390/molecules25204725] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 09/27/2020] [Accepted: 09/28/2020] [Indexed: 12/16/2022] Open
Abstract
Vibrational spectroscopy (mid-infrared (IR) and Raman) and its fingerprinting capabilities offer rapid, high-throughput, and non-destructive analysis of a wide range of sample types producing a characteristic chemical "fingerprint" with a unique signature profile. Nuclear magnetic resonance (NMR) spectroscopy and an array of mass spectrometry (MS) techniques provide selectivity and specificity for screening metabolites, but demand costly instrumentation, complex sample pretreatment, are labor-intensive, require well-trained technicians to operate the instrumentation, and are less amenable for implementation in clinics. The potential for vibration spectroscopy techniques to be brought to the bedside gives hope for huge cost savings and potential revolutionary advances in diagnostics in the clinic. We discuss the utilization of current vibrational spectroscopy methodologies on biologic samples as an avenue towards rapid cost saving diagnostics.
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Affiliation(s)
- Kevin V. Hackshaw
- Department of Internal Medicine, Division of Rheumatology, Dell Medical School, The University of Texas, 1601 Trinity St, Austin, TX 78712, USA
| | - Joseph S. Miller
- Department of Medicine, Ohio University Heritage College of Osteopathic Medicine, Dublin, OH 43016, USA;
| | - Didem P. Aykas
- Department of Food Science and Technology, Ohio State University, Columbus, OH 43210, USA; (D.P.A.); (L.R.-S.)
- Department of Food Engineering, Faculty of Engineering, Adnan Menderes University, Aydin 09100, Turkey
| | - Luis Rodriguez-Saona
- Department of Food Science and Technology, Ohio State University, Columbus, OH 43210, USA; (D.P.A.); (L.R.-S.)
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Shao X, Zhang H, Wang Y, Qian H, Zhu Y, Dong B, Xu F, Chen N, Liu S, Pan J, Xue W. Deep convolutional neural networks combine Raman spectral signature of serum for prostate cancer bone metastases screening. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2020; 29:102245. [PMID: 32592757 DOI: 10.1016/j.nano.2020.102245] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 05/27/2020] [Accepted: 06/12/2020] [Indexed: 12/20/2022]
Abstract
Prostate cancer most frequently metastasizes to bone, resulting in abnormal bone metabolism and the release of components into the blood stream. Here, we evaluated the capacity of convolutional neural networks (CNNs) to use Raman data for screening of prostate cancer bone metastases. We used label-free surface-enhanced Raman spectroscopy (SERS) to collect 1281 serum Raman spectra from 427 patients with prostate cancer, and then we constructed a CNN based on LetNet-5 to recognize prostate cancer patients with bone metastases. We then used 5-fold cross-validation method to train and test the CNN model and evaluated its actual performance. Our CNN model for bone metastases detection revealed a mean training accuracy of 99.51% ± 0.23%, mean testing accuracy of 81.70% ± 2.83%, mean testing sensitivity of 80.63% ± 5.07%, and mean testing specificity of 82.82% ± 2.94%.
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Affiliation(s)
- Xiaoguang Shao
- Department of Urology, RenJi hospital, school of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Heng Zhang
- Shanghai Institute for Advanced Communication and Data science, Key laboratory of specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, People's Republic of China
| | - Yanqing Wang
- Department of Urology, RenJi hospital, school of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Hongyang Qian
- Department of Urology, RenJi hospital, school of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Yinjie Zhu
- Department of Urology, RenJi hospital, school of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Baijun Dong
- Department of Urology, RenJi hospital, school of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Fan Xu
- Department of Urology, RenJi hospital, school of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Na Chen
- Shanghai Institute for Advanced Communication and Data science, Key laboratory of specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, People's Republic of China
| | - Shupeng Liu
- Shanghai Institute for Advanced Communication and Data science, Key laboratory of specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, People's Republic of China.
| | - Jiahua Pan
- Department of Urology, RenJi hospital, school of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
| | - Wei Xue
- Department of Urology, RenJi hospital, school of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
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9
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Flores-Guerrero JL, Muñoz-Morales A, Narea-Jimenez F, Perez-Fuentes R, Torres-Rasgado E, Ruiz-Vivanco G, Gonzalez-Viveros N, Castro-Ramos J. Novel Assessment of Urinary Albumin Excretion in Type 2 Diabetes Patients by Raman Spectroscopy. Diagnostics (Basel) 2020; 10:diagnostics10030141. [PMID: 32138353 PMCID: PMC7151048 DOI: 10.3390/diagnostics10030141] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 11/25/2019] [Accepted: 12/24/2019] [Indexed: 11/16/2022] Open
Abstract
Urinary albumin excretion remains the key biomarker to detect renal complications in type 2 diabetes. As diabetes epidemy increases, particularly in low-income countries, efficient and low-cost methods to measure urinary albumin are needed. In this pilot study, we evaluated the performance of Raman spectroscopy in the assessment of urinary albumin in patients with type 2 diabetes. The spectral Raman analysis of albumin was performed using artificial urine, at five concentrations of albumin and 24 h collection urine samples from ten patients with Type 2 Diabetes. The spectra were obtained after removing the background fluorescence and fitting Gaussian curves to spectral regions containing features of such metabolites. In the samples from patients with type 2 diabetes, we identified the presence of albumin in the peaks of the spectrum located at 663.07, 993.43, 1021.43, 1235.28, 1429.91 and 1633.91 cm−1. In artificial urine, there was an increase in the intensity of the Raman signal at 1450 cm−1, which corresponds to the increment of the concentrations of albumin. The highest concentration of albumin was located at 1630 cm−1. The capability of Raman spectroscopy for detection of small concentrations of urinary albumin suggests the feasibility of this method for the screening of type 2 diabetes renal complications.
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Affiliation(s)
- Jose L. Flores-Guerrero
- Department of Internal Medicine, Division of Nephrology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
- Correspondence: ; Tel.:+ 31-50-36-10137
| | - Aaron Muñoz-Morales
- Department of Physics, Faculty of Experimental Sciences and Technology, Center of Medical and Biotechnology Research, University of Carabobo, Valencia 2005, Venezuela;
| | - Freddy Narea-Jimenez
- Optics coordination, Biomedical Optics Group, National Institute of Astrophysics, Optics and Electronics, INAOE, Puebla 72840, Mexico; (F.N.-J.); (N.G.-V.); (J.C.-R.)
| | - Ricardo Perez-Fuentes
- Department of Chronic Disease Physiopathology, East Center of Biomedical Research, Mexican Social Security Institute, CIBIOR, Puebla 74360, Mexico; (R.P.-F.); (G.R.-V.)
| | - Enrique Torres-Rasgado
- Faculty of Medicine, Meritorious Autonomous University of Puebla, BUAP, Puebla 72589, Mexico;
| | - Guadalupe Ruiz-Vivanco
- Department of Chronic Disease Physiopathology, East Center of Biomedical Research, Mexican Social Security Institute, CIBIOR, Puebla 74360, Mexico; (R.P.-F.); (G.R.-V.)
| | - Naara Gonzalez-Viveros
- Optics coordination, Biomedical Optics Group, National Institute of Astrophysics, Optics and Electronics, INAOE, Puebla 72840, Mexico; (F.N.-J.); (N.G.-V.); (J.C.-R.)
| | - Jorge Castro-Ramos
- Optics coordination, Biomedical Optics Group, National Institute of Astrophysics, Optics and Electronics, INAOE, Puebla 72840, Mexico; (F.N.-J.); (N.G.-V.); (J.C.-R.)
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10
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Kaewseekhao B, Nuntawong N, Eiamchai P, Roytrakul S, Reechaipichitkul W, Faksri K. Diagnosis of active tuberculosis and latent tuberculosis infection based on Raman spectroscopy and surface-enhanced Raman spectroscopy. Tuberculosis (Edinb) 2020; 121:101916. [PMID: 32279876 DOI: 10.1016/j.tube.2020.101916] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 02/15/2020] [Accepted: 02/17/2020] [Indexed: 12/17/2022]
Abstract
Current tools for screening LTBI are limited due to the long turnaround time required, cross-reactivity of tuberculin skin test to BCG vaccine and the high cost of interferon gamma release assay (IGRA) tests. We evaluated Raman spectroscopy (RS) for serum-protein fingerprinting from 26 active TB (ATB) cases, 20 LTBI cases, 34 early clearance (EC; TB-exposed persons with undetected infection) and 38 healthy controls (HC). RS at 532 nm using candidate peaks provided 92.31% sensitivity and 90.0% to distinguish ATB from LTBI, 84.62% sensitivity and 89.47% specificity to distinguish ATB from HC and 87.10% sensitivity and 85.0% specificity to distinguish LTBI from EC. RS at 532 nm with the random forest model provided 86.84% sensitivity and 65.0% specificity to distinguish LTBI from HC and 94.74% sensitivity and 87.10% specificity to distinguish EC from HC. Using preliminary sample sets (n = 5 for each TB-infection category), surface-enhanced Raman spectroscopy (SERS) showed high potential diagnostic performance, distinguishing very clearly among all TB-infection categories with 100% sensitivity and specificity. With lower cost, shorter turnaround time and performance comparable to that of IGRAs, our study demonstrated RS and SERS to have high potential for ATB and LTBI diagnosis.
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Affiliation(s)
- Benjawan Kaewseekhao
- Department of Microbiology and Research and Diagnostic Center for Emerging Infectious Diseases, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Noppadon Nuntawong
- National Electronics and Computer Technology Center (NECTEC), National Science and Technology Development Agency (NSTDA), Rama VI Rd., Pathumthani, Thailand
| | - Pitak Eiamchai
- National Electronics and Computer Technology Center (NECTEC), National Science and Technology Development Agency (NSTDA), Rama VI Rd., Pathumthani, Thailand
| | - Sittiruk Roytrakul
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Rama VI Rd., Pathumthani, Thailand
| | - Wipa Reechaipichitkul
- Department of Medicine and Diagnostic Center for Emerging Infectious Diseases, Faculty of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Kiatichai Faksri
- Department of Microbiology and Research and Diagnostic Center for Emerging Infectious Diseases, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
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Stefancu A, Moisoiu V, Couti R, Andras I, Rahota R, Crisan D, Pavel IE, Socaciu C, Leopold N, Crisan N. Combining SERS analysis of serum with PSA levels for improving the detection of prostate cancer. Nanomedicine (Lond) 2018; 13:2455-2467. [DOI: 10.2217/nnm-2018-0127] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Aim: Previous studies regarding surface-enhanced Raman scattering (SERS) of serum have shown promising initial results in discriminating prostate cancer, a strategy which could complement standard tests such as the prostate-specific antigen (PSA). Materials & methods: SERS spectra of serum samples were combined with serum PSA levels to improve the discrimination accuracy between prostate cancer and nonmalignant pathologies in a cohort of 54 patients using principal component analysis-linear discriminant analysis (PCA-LDA). Results & discussion: Combining SERS spectra with serum PSA levels in a single PCA-LDA model could discriminate between the two groups with an overall accuracy of 94%, yielding better results than either method alone. Conclusion: These results highlight that combining SERS-based cancer screening with serum PSA levels represents a promising strategy for improving the accuracy of prostate cancer diagnosis.
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Affiliation(s)
- Andrei Stefancu
- Faculty of Physics, Babeș-Bolyai University, Cluj-Napoca, Romania
- MEDFUTURE Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine & Pharmacy, Cluj-Napoca, Romania
| | - Vlad Moisoiu
- Faculty of Physics, Babeș-Bolyai University, Cluj-Napoca, Romania
- IMOGEN Medical Research Institute, County Clinical Emergency Hospital, Cluj-Napoca, Romania
| | - Razvan Couti
- Department of Urology, Clinical Municipal Hospital, Cluj-Napoca, Romania
| | - Iulia Andras
- Department of Urology, Clinical Municipal Hospital, Cluj-Napoca, Romania
- Department of Urology, Iuliu Hatieganu University of Medicine & Pharmacy, Cluj-Napoca, Romania
| | - Razvan Rahota
- Department of Urology, Clinical Municipal Hospital, Cluj-Napoca, Romania
| | - Dana Crisan
- 5th Medical Clinic, Iuliu Hatieganu University of Medicine & Pharmacy, Cluj-Napoca, Romania
| | - Ioana E Pavel
- MEDFUTURE Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine & Pharmacy, Cluj-Napoca, Romania
- Department of Chemistry, Wright State University, Dayton, OH 45435, USA
| | - Carmen Socaciu
- BIODIATECH Research Center for Applied Biotechnology, SC Proplanta, Cluj-Napoca, Romania
- Faculty of Food Science & Technology, University of Agricultural Sciences & Veterinary Medicine of Cluj-Napoca, Cluj-Napoca, Romania
| | - Nicolae Leopold
- Faculty of Physics, Babeș-Bolyai University, Cluj-Napoca, Romania
- MEDFUTURE Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine & Pharmacy, Cluj-Napoca, Romania
| | - Nicolae Crisan
- Department of Urology, Clinical Municipal Hospital, Cluj-Napoca, Romania
- Department of Urology, Iuliu Hatieganu University of Medicine & Pharmacy, Cluj-Napoca, Romania
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Pahlow S, Weber K, Popp J, Wood BR, Kochan K, Rüther A, Perez-Guaita D, Heraud P, Stone N, Dudgeon A, Gardner B, Reddy R, Mayerich D, Bhargava R. Application of Vibrational Spectroscopy and Imaging to Point-of-Care Medicine: A Review. APPLIED SPECTROSCOPY 2018; 72:52-84. [PMID: 30265133 PMCID: PMC6524782 DOI: 10.1177/0003702818791939] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Affiliation(s)
- Susanne Pahlow
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
| | - Karina Weber
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
- Leibniz Institute of Photonic Technology-Leibniz Health Technologies, Jena, Germany
| | - Jürgen Popp
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
- Leibniz Institute of Photonic Technology-Leibniz Health Technologies, Jena, Germany
| | - Bayden R. Wood
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Kamila Kochan
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Anja Rüther
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - David Perez-Guaita
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Philip Heraud
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Nick Stone
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Alex Dudgeon
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Ben Gardner
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Rohith Reddy
- Department of Electrical Engineering, University of Houston, Houston, USA
| | - David Mayerich
- Department of Electrical Engineering, University of Houston, Houston, USA
| | - Rohit Bhargava
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Departments of Mechanical Engineering, Bioengineering, Chemical and Biomolecular Engineering, Electrical and Computer Engineering, and Chemistry, University of Illinois at Urbana-Champaign, Urbana, USA
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Botta R, Chindaudom P, Eiamchai P, Horprathum M, Limwichean S, Chananonnawathorn C, Patthanasettakul V, Kaewseekhao B, Faksri K, Nuntawong N. Tuberculosis determination using SERS and chemometric methods. Tuberculosis (Edinb) 2018. [PMID: 29523323 DOI: 10.1016/j.tube.2017.12.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Nanostructures have been multiplying the advantages of Raman spectroscopy and further amplify the advantages of Raman spectroscopy is a continuous effort focused on the appropriate design of nanostructures. Herein, we designed different shapes of plasmonic nanostructures such as Vertical, Zig Zag, Slant nanorods and Spherical nanoparticles employing the DC magnetron sputtering system as SERS-active substrates for ultrasensitive detection of target molecules. The fabricated plasmonic nanostructures sensitivity and uniformity were exploited by reference dye analyte. These nanostructures were utilized in the label free detection of infectious disease, Tuberculosis (TB). For the first time, TB detection from serum samples using SERS has been demonstrated. Various multivariate statistical methods such as principal component analysis, support vector machine, decision tree and random forest were developed and tested their ability to discriminate the healthy and active TB samples. The results demonstrate the performance of the SERS spectra, chemometric methods and potential of the method in clinical diagnosis.
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Affiliation(s)
- Raju Botta
- National Electronics and Computer Technology Center (NECTEC), Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, Thailand.
| | - Pongpan Chindaudom
- National Electronics and Computer Technology Center (NECTEC), Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, Thailand
| | - Pitak Eiamchai
- National Electronics and Computer Technology Center (NECTEC), Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, Thailand
| | - Mati Horprathum
- National Electronics and Computer Technology Center (NECTEC), Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, Thailand
| | - Saksorn Limwichean
- National Electronics and Computer Technology Center (NECTEC), Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, Thailand
| | - Chanunthorn Chananonnawathorn
- National Electronics and Computer Technology Center (NECTEC), Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, Thailand
| | - Viyapol Patthanasettakul
- National Electronics and Computer Technology Center (NECTEC), Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, Thailand
| | - Benjawan Kaewseekhao
- Department of Microbiology and Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Kiatichai Faksri
- Department of Microbiology and Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Noppadon Nuntawong
- National Electronics and Computer Technology Center (NECTEC), Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, Thailand
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Kuhar N, Sil S, Verma T, Umapathy S. Challenges in application of Raman spectroscopy to biology and materials. RSC Adv 2018; 8:25888-25908. [PMID: 35541973 PMCID: PMC9083091 DOI: 10.1039/c8ra04491k] [Citation(s) in RCA: 124] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 07/09/2018] [Indexed: 12/14/2022] Open
Abstract
Raman spectroscopy has become an essential tool for chemists, physicists, biologists and materials scientists. In this article, we present the challenges in unravelling the molecule-specific Raman spectral signatures of different biomolecules like proteins, nucleic acids, lipids and carbohydrates based on the review of our work and the current trends in these areas. We also show how Raman spectroscopy can be used to probe the secondary and tertiary structural changes occurring during thermal denaturation of protein and lysozyme as well as more complex biological systems like bacteria. Complex biological systems like tissues, cells, blood serum etc. are also made up of such biomolecules. Using mice liver and blood serum, it is shown that different tissues yield their unique signature Raman spectra, owing to a difference in the relative composition of the biomolecules. Additionally, recent progress in Raman spectroscopy for diagnosing a multitude of diseases ranging from cancer to infection is also presented. The second part of this article focuses on applications of Raman spectroscopy to materials. As a first example, Raman spectroscopy of a melt cast explosives formulation was carried out to monitor the changes in the peaks which indicates the potential of this technique for remote process monitoring. The second example presents various modern methods of Raman spectroscopy such as spatially offset Raman spectroscopy (SORS), reflection, transmission and universal multiple angle Raman spectroscopy (UMARS) to study layered materials. Studies on chemicals/layered materials hidden in non-metallic containers using the above variants are presented. Using suitable examples, it is shown how a specific excitation or collection geometry can yield different information about the location of materials. Additionally, it is shown that UMARS imaging can also be used as an effective tool to obtain layer specific information of materials located at depths beyond a few centimeters. This paper reviews various facets of Raman spectroscopy. This encompasses biomolecule fingerprinting and conformational analysis, discrimination of healthy vs. diseased states, depth-specific information of materials and 3D Raman imaging.![]()
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Affiliation(s)
- Nikki Kuhar
- Department of Inorganic & Physical Chemistry
- Indian Institute of Science
- Bangalore
- India-560012
| | - Sanchita Sil
- Defence Bioengineering & Electromedical Laboratory
- DRDO
- Bangalore
- India-560093
| | - Taru Verma
- Centre for Biosystems Science and Engineering
- Indian Institute of Science
- Bangalore
- India-560012
| | - Siva Umapathy
- Department of Inorganic & Physical Chemistry
- Indian Institute of Science
- Bangalore
- India-560012
- Department of Instrumentation & Applied Physics
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15
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Moreira LP, Silveira L, da Silva AG, Fernandes AB, Pacheco MTT, Rocco DDFM. Raman spectroscopy applied to identify metabolites in urine of physically active subjects. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY 2017; 176:92-99. [DOI: 10.1016/j.jphotobiol.2017.09.019] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 09/04/2017] [Accepted: 09/21/2017] [Indexed: 10/18/2022]
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Abstract
Clinical diagnostic devices provide new sources of information that give insight about the state of health which can then be used to manage patient care. These tools can be as simple as an otoscope to better visualize the ear canal or as complex as a wireless capsule endoscope to monitor the gastrointestinal tract. It is with tools such as these that medical practitioners can determine when a patient is healthy and to make an appropriate diagnosis when he/she is not. The goal of diagnostic medicine then is to efficiently determine the presence and cause of disease in order to provide the most appropriate intervention. The earliest form of medical diagnostics relied on the eye - direct visual observation of the interaction of light with the sample. This technique was espoused by Hippocrates in his 5th century BCE work Epidemics, in which the pallor of a patient's skin and the coloring of the bodily fluids could be indicative of health. In the last hundred years, medical diagnosis has moved from relying on visual inspection to relying on numerous technological tools that are based on various types of interaction of the sample with different types of energy - light, ultrasound, radio waves, X-rays etc. Modern advances in science and technology have depended on enhancing technologies for the detection of these interactions for improved visualization of human health. Optical methods have been focused on providing this information in the micron to millimeter scale while ultrasound, X-ray, and radio waves have been key in aiding in the millimeter to centimeter scale. While a few optical technologies have achieved the status of medical instruments, many remain in the research and development phase despite persistent efforts by many researchers in the translation of these methods for clinical care. Of these, Raman spectroscopy has been described as a sensitive method that can provide biochemical information about tissue state while maintaining the capability of delivering this information in real-time, non-invasively, and in an automated manner. This review presents the various instrumentation considerations relevant to the clinical implementation of Raman spectroscopy and reviews a subset of interesting applications that have successfully demonstrated the efficacy of this technique for clinical diagnostics and monitoring in large (n ≥ 50) in vivo human studies.
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Affiliation(s)
- Isaac Pence
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
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Xu F, Wang X, Xu H, Wang K. A study of structural differences between TBM patients' and non-TBM persons' CSF using UV–Vis absorption spectroscopy. J Mol Struct 2016. [DOI: 10.1016/j.molstruc.2015.09.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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18
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Circulating Mycobacterium bovis peptides and host response proteins as biomarkers for unambiguous detection of subclinical infection. J Clin Microbiol 2013; 52:536-43. [PMID: 24478485 DOI: 10.1128/jcm.02433-13] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Bovine tuberculosis remains one of the most damaging diseases to agriculture, and there is also a concern for human spillover. A critical need exists for rapid, thorough, and inexpensive diagnostic methods capable of detecting and differentiating Mycobacterium bovis infection from other pathogenic and environmental mycobacteria at multiple surveillance levels. In a previous study, Seth et al. (PLoS One 4:e5478, 2009, doi:10.1371/journal.pone.0005478) identified 32 host peptides that specifically increased in the blood serum of M. bovis-infected animals). In the current study, 16 M. bovis proteins were discovered in the blood serum proteomics data sets. A large-scale validation analysis was undertaken for selected host and M. bovis proteins using a cattle serum repository containing M. bovis (n = 128), Mycobacterium kansasii (n = 10), and Mycobacterium avium subsp. paratuberculosis (n = 10), cases exposed to M. bovis (n = 424), and negative controls (n = 38). Of the host biomarkers, vitamin D binding protein (VDBP) showed the greatest sensitivity and specificity for M. bovis detection. Circulating M. bovis proteins, specifically polyketide synthetase 5, detected M. bovis-infected cattle with little to no seroreactivity against M. kansasii- and M. avium subsp. paratuberculosis-infected animals. These data indicate that host and pathogen serum proteins can serve as reliable biomarkers for tracking M. bovis infection in animal populations.
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