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Rapid Biomarker-Based Diagnosis of Fibromyalgia Syndrome and Related Rheumatologic Disorders by Portable FT-IR Spectroscopic Techniques. Biomedicines 2023; 11:biomedicines11030712. [PMID: 36979691 PMCID: PMC10044908 DOI: 10.3390/biomedicines11030712] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 02/20/2023] [Accepted: 02/24/2023] [Indexed: 03/02/2023] Open
Abstract
Fibromyalgia syndrome (FM), one of the most common illnesses that cause chronic widespread pain, continues to present significant diagnostic challenges. The objective of this study was to develop a rapid vibrational biomarker-based method for diagnosing fibromyalgia syndrome and related rheumatologic disorders (systemic lupus erythematosus (SLE), osteoarthritis (OA) and rheumatoid arthritis (RA)) through portable FT-IR techniques. Bloodspot samples were collected from patients diagnosed with FM (n = 122) and related rheumatologic disorders (n = 70), including SLE (n = 17), RA (n = 43), and OA (n = 10), and stored in conventional protein saver bloodspot cards. The blood samples were prepared by four different methods (blood aliquots, protein-precipitated extraction, and non-washed and water-washed semi-permeable membrane filtration extractions), and spectral data were collected with a portable FT-IR spectrometer. Pattern recognition analysis, OPLS-DA, was able to identify the signature profile and classify the spectra into corresponding classes (Rcv > 0.93) with excellent sensitivity and specificity. Peptide backbones and aromatic amino acids were predominant for the differentiation and might serve as candidate biomarkers for syndromes such as FM. This research evaluated the feasibility of portable FT-IR combined with chemometrics as an accurate and high-throughput tool for distinct spectral signatures of biomarkers related to the human syndrome (FM), which could allow for real-time and in-clinic diagnostics of FM.
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Brito ALB, Brüggen C, Ildiz GO, Fausto R. Investigation of menopause-induced changes on hair by Raman spectroscopy and chemometrics. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 275:121175. [PMID: 35344858 DOI: 10.1016/j.saa.2022.121175] [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: 01/11/2022] [Revised: 03/10/2022] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
The ending of estrogen production in the ovaries after menopause results in a series of important physiologic changes, including hair texture and growth. In this study we demonstrate that Raman spectroscopy can be used successfully as a tool to probe menopause-induced changes on hair, in particular when coupled with suitable chemometrics approaches. The detailed analysis of the average Raman spectra (in particular of the Amide I and νS-S stretching spectral regions) of the hair samples of women pre- and post-menopause allowed to estimate that absence of estrogen in post-menopause women leads to an average reduction of ∼12% in the thickness of the hair cuticle, compared to that of pre-menopause women, and revealed the strong prevalence of disulphide bonds in the most stable gauche-gauche-gauche conformation in the hair cuticle. From the analysis of the νS-S stretching spectral region it could also be concluded that the amount of α-helix keratin is slightly higher for post-menopause than for pre-menopause women. A series of statistical models were developed in order to classify the hair samples. Outperforming the traditional PCA-LDA (principal component analysis - linear discriminant analysis) approach, in the present study a GA-LDA (genetic algorithm - linear discriminant analysis) strategy was used for variable reduction/selection and samples' classification. This strategy allowed to develop of a statistical model (L16), which has exceptional prediction capability (total accuracy of 96.6%, with excellent sensitivity and selectivity) and can be used as an efficient instrument for the hair samples' classification. In addition, a new chemometrics approach is here presented, which allows to overcome the intrinsic limitations of the GA algorithm and that can be used to develop statistical models that use GA as the variable reduction/selection method, but superseding its stochastic nature. Three suitable models for classification of the hair samples according to the menopause status of the women were developed using this novel approach (LV17, BLV20 and PLS7 models), which are based on the Fisher's and Bayers' LDA approaches and the PLS-DA method. The followed new chemometrics approach uses the results of a large set of GA-LDA runs over the full data matrix for the selection of the reduced data matrices. The criterion for the selection of the variables is their statistical significance in terms of number of occurrences as solutions of the whole set of GA-LDA runs.
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Affiliation(s)
- Anna Luiza B Brito
- CQC-IMS, Department of Chemistry, University of Coimbra, P-3004-535 Coimbra, Portugal.
| | - Carlotta Brüggen
- Biochemistry Center, Heidelberg University, P-69120 Heidelberg, Germany
| | - Gulce Ogruc Ildiz
- CQC-IMS, Department of Chemistry, University of Coimbra, P-3004-535 Coimbra, Portugal; Faculty of Science and Letters, Department of Physics, Istanbul Kultur University, Atakoy Campus, Bakirkoy 34156, Istanbul, Turkey
| | - Rui Fausto
- CQC-IMS, Department of Chemistry, University of Coimbra, P-3004-535 Coimbra, Portugal
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ATR-IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:4777434. [PMID: 35707272 PMCID: PMC9192200 DOI: 10.1155/2022/4777434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/13/2022] [Accepted: 05/19/2022] [Indexed: 11/18/2022]
Abstract
Endometriosis is one of the most common gynecological diseases among young women of reproductive age. Thus far, it has not been possible to define a parameter that is sensitive and specific enough to be a recognized biomarker for diagnosing this disease. Nonspecific symptoms of endometriosis and delayed diagnosis are impulses for researching noninvasive methods of differentiating endometriosis from other gynecological disorders. We compared three groups of individuals in our research: women with endometriosis (E), patients suffering from other gynecological disorders (nonendometriosis, NE), and healthy women from the control group (C). Partial least squares discriminant analysis (PLS-DA) models were developed based on selected serum biochemical parameters, specific regions of the serum’s infrared attenuated total reflectance (FTIR ATR) spectra, and combined data. Incorporating the spectral data into the models significantly improved differentiation among the three groups, with an overall accuracy of 87.5%, 97.3%, and 98.5%, respectively. This study shows that infrared spectroscopy and discriminant analysis can be used to differentiate serum samples among women with advanced endometriosis, women without this disease, i.e., healthy women, and, most importantly, also women with other benign gynecological disorders.
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Pérez-Guaita D, Richardson Z, Quintás G, Kuligowski J, Bedolla DE, Byrne HJ, Wood B. ATR-Spin: an open-source 3D printed device for direct cytocentrifugation onto attenuated total reflectance crystals. LAB ON A CHIP 2021; 21:4743-4748. [PMID: 34822714 DOI: 10.1039/d1lc00813g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Infrared spectroscopy (IR) enables the direct and rapid characterization of cells at the molecular level. Achieving a rapid and consistent cell preparation is critical for the development of point-of-care diagnostics for cell analysis. Here we introduce an open-source, 3D printed device for integrating the isolation, preconcentration, and measurement of attenuated total reflectance IR spectra of cells from biofluids. The tool comprises a disposable card for cytocentrifugation, equipped with magnets, which allows reproducible integration into the pathlength of the IR spectrophotometer. Preliminary results using cell culture media containing A549 cells indicate that this system enables a qualitative and quantitative characterization of cells down to 10 cells μL-1 by using a single and cost-effective device and within a few minutes.
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Affiliation(s)
- David Pérez-Guaita
- Department of Analytical Chemistry, University of Valencia, Burjassot, Spain.
- FOCAS Research Institute, Technological University Dublin, City Campus, Dublin 8, Ireland
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia
| | - Zack Richardson
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia
| | | | - Julia Kuligowski
- Neonatal Research Group, Health Research Institute La Fe, Valencia, Spain
| | - Diana E Bedolla
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, City Campus, Dublin 8, Ireland
| | - Bayden Wood
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia
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Kochan K, Bedolla DE, Perez-Guaita D, Adegoke JA, Chakkumpulakkal Puthan Veettil T, Martin M, Roy S, Pebotuwa S, Heraud P, Wood BR. Infrared Spectroscopy of Blood. APPLIED SPECTROSCOPY 2021; 75:611-646. [PMID: 33331179 DOI: 10.1177/0003702820985856] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
The magnitude of infectious diseases in the twenty-first century created an urgent need for point-of-care diagnostics. Critical shortages in reagents and testing kits have had a large impact on the ability to test patients with a suspected parasitic, bacteria, fungal, and viral infections. New point-of-care tests need to be highly sensitive, specific, and easy to use and provide results in rapid time. Infrared spectroscopy, coupled to multivariate and machine learning algorithms, has the potential to meet this unmet demand requiring minimal sample preparation to detect both pathogenic infectious agents and chronic disease markers in blood. This focal point article will highlight the application of Fourier transform infrared spectroscopy to detect disease markers in blood focusing principally on parasites, bacteria, viruses, cancer markers, and important analytes indicative of disease. Methodologies and state-of-the-art approaches will be reported and potential confounding variables in blood analysis identified. The article provides an up to date review of the literature on blood diagnosis using infrared spectroscopy highlighting the recent advances in this burgeoning field.
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Affiliation(s)
- Kamila Kochan
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Diana E Bedolla
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - David Perez-Guaita
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - John A Adegoke
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | | | - Miguela Martin
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Supti Roy
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Savithri Pebotuwa
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Philip Heraud
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Bayden R Wood
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
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Perez-Guaita D, Chrabaszcz K, Malek K, Byrne HJ. Multimodal vibrational studies of drug uptake in vitro: Is the whole greater than the sum of their parts? JOURNAL OF BIOPHOTONICS 2020; 13:e202000264. [PMID: 32888394 DOI: 10.1002/jbio.202000264] [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: 07/01/2020] [Revised: 08/22/2020] [Accepted: 08/28/2020] [Indexed: 06/11/2023]
Abstract
Herein, we investigated the use of multimodal Raman and infrared (IR) spectroscopic microscopy for the elucidation of drug uptake and subsequent cellular responses. Firstly, we compared different methods for the analysis of the combined data. Secondly, we evaluated whether the combined analysis provided enough benefits to justify the fusion of the data. A459 cells inoculated with doxorubicin (DOX) at different times were fixed and analysed using each technique. Raman spectroscopy provided high sensitivity to DOX and enabled an accurate estimation of the drug uptake at each time point, whereas IR provided a better insight into the resultant changes in the biochemical composition of the cell. In terms of benefits of data fusion, 2D correlation analysis allowed the study of the relationship between IR and Raman variables, whereas the joint analysis of IR and Raman enabled the correlation of the different variables to be monitored over time. In summary, the complementary nature of IR and Raman makes the combination of these vibrational techniques an appealing tool to follow drug kinetics and cellular response.
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Affiliation(s)
- David Perez-Guaita
- FOCAS Research Institute, Technological University Dublin, Dublin 8, Ireland
| | | | - Kamilla Malek
- Faculty of Chemistry, Jagiellonian University, Krakow, Poland
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, Dublin 8, Ireland
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Pérez-Guaita D, Moreno-Torres M, Jover R, Pareja E, Lendl B, Kuligowski J, Quintás G, Castell JV. Toward Rapid Screening of Liver Grafts at the Operating Room Using Mid-infrared Spectroscopy. Anal Chem 2020; 92:14542-14549. [PMID: 33084322 DOI: 10.1021/acs.analchem.0c02735] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The estimation of steatosis in a liver graft is mandatory prior to liver transplantation, as the risk of graft failure increases with the level of infiltrated fat. However, the assessment of liver steatosis before transplantation is typically based on a qualitative or semiquantitative characterization by visual inspection and palpation and histological analysis. Thus, there is an unmet need for transplantation surgeons to have access to a diagnostic tool enabling an in situ fast classification of grafts prior to extraction. In this study, we have assessed an attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopic method compatible with the requirements of an operation room for the evaluation of the lipid contents in human livers. A set of 20 human liver biopsies obtained from organs intended for transplantation were analyzed by expert pathologists, ATR-FTIR spectroscopy, lipid biochemical analysis, and UPLC-ESI(+/-)TOFMS for lipidomic profiling. Comparative analysis of multisource data showed strong correlations between ATR-FTIR, clinical, and lipidomic information. Results show that ATR-FTIR captures a global picture of the lipid composition of the liver, along with information for the quantification of the triradylglycerol content in liver biopsies. Although the methodology performance needs to be further validated, results support the applicability of ATR-FTIR for the in situ determination of the grade of liver steatosis at the operation room as a fast, quantitative method, as an alternative to the qualitative and subjective pathological examination.
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Affiliation(s)
- David Pérez-Guaita
- FOCAS Research Institute, Technological University Dublin, 13 Camden Row, D08CKP1 Dublin, Ireland
| | - Marta Moreno-Torres
- Unidad de Hepatología Experimental, Health Research Institute Hospital La Fe, Av. Fernando Abril Martorell, 46026 Valencia, Spain
| | - Ramiro Jover
- Unidad de Hepatología Experimental, Health Research Institute Hospital La Fe, Av. Fernando Abril Martorell, 46026 Valencia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. de Monforte de Lemos 5, 28029 Madrid, Spain.,Departamento de Bioquímica y Biología Molecular, Facultad de Medicina, Universidad de Valencia, Av. de Blasco Ibáñez, 15, 46010 Valencia, Spain
| | - Eugenia Pareja
- Unidad de Hepatología Experimental, Health Research Institute Hospital La Fe, Av. Fernando Abril Martorell, 46026 Valencia, Spain.,Servicio de Cirugía General y Aparato Digestivo, Hospital Universitario Dr. Peset, Av. de Gaspar Aguilar, 90, 46017 Valencia, Spain
| | - Bernhard Lendl
- Institute of Chemical Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9/164, A, 1060 Vienna, Austria
| | - Julia Kuligowski
- Division of Neonatology, University & Polytechnic Hospital La Fe, Av. Fernando Abril Martorell, 46026 Valencia, Spain
| | - Guillermo Quintás
- Unidad Analítica, Health Research Institute Hospital La Fe, Av. Fernando Abril Martorell, 46026 Valencia, Spain.,Health and Biomedicine, LEITAT Technological Center, Baldiri Reixac 10, 08028 Barcelona, Spain
| | - Jose Vicente Castell
- Unidad de Hepatología Experimental, Health Research Institute Hospital La Fe, Av. Fernando Abril Martorell, 46026 Valencia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. de Monforte de Lemos 5, 28029 Madrid, Spain.,Departamento de Bioquímica y Biología Molecular, Facultad de Medicina, Universidad de Valencia, Av. de Blasco Ibáñez, 15, 46010 Valencia, Spain
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Ogruc Ildiz G, Bayari S, Karadag A, Kaygisiz E, Fausto R. Fourier Transform Infrared Spectroscopy Based Complementary Diagnosis Tool for Autism Spectrum Disorder in Children and Adolescents. Molecules 2020; 25:molecules25092079. [PMID: 32365644 PMCID: PMC7249117 DOI: 10.3390/molecules25092079] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 04/11/2020] [Accepted: 04/21/2020] [Indexed: 11/16/2022] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that begins early in life and continues lifelong with strong personal and societal implications. It affects about 1%-2% of the children population in the world. The absence of auxiliary methods that can complement the clinical evaluation of ASD increases the probability of false identification of the disorder, especially in the case of very young children. In this study, analytical models for auxiliary diagnosis of ASD in children and adolescents, based on the analysis of patients' blood serum ATR-FTIR (Attenuated Total Reflectance-Fourier Transform Infrared) spectra, were developed. The models use chemometrics (either Principal Component Analysis (PCA) or Partial Least Squares Discriminant Analysis (PLS-DA)) methods, with the infrared spectra being the X-predictor variables. The two developed models exhibit excellent classification performance for samples of ASD individuals vs. healthy controls. Interestingly, the simplest, unsupervised PCA-based model results to have a global performance identical to the more demanding, supervised (PLS-DA)-based model. The developed PCA-based model thus appears as the more economical alternative one for use in the clinical environment. Hierarchical clustering analysis performed on the full set of samples was also successful in discriminating the two groups.
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Affiliation(s)
- Gulce Ogruc Ildiz
- Department of Physics, Faculty of Sciences and Letters, Istanbul Kultur University, 34158 Istanbul, Turke
- Department of Chemistry, CQC, University of Coimbra, P-3004-535 Coimbra, Portugal;
- Correspondence:
| | - Sevgi Bayari
- Department of Physics Engineering, Hacettepe University, 06800 Ankara, Turkey;
| | - Ahmet Karadag
- Department of Physics, Faculty of Sciences and Letters, Istanbul Kultur University, 34158 Istanbul, Turke
| | - Ersin Kaygisiz
- Department of Geological Engineering, Istanbul University-Cerrahpasa, 34320 Istanbul, Turkey;
| | - Rui Fausto
- Department of Chemistry, CQC, University of Coimbra, P-3004-535 Coimbra, Portugal;
- Department of Chemistry, King Fahd University of Petroleum and Minerals, Dhahran 34463, Saudi Arabia
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Richardson Z, Perez-Guaita D, Kochan K, Wood BR. Determining the Age of Spoiled Milk from Dried Films Using Attenuated Reflection Fourier Transform Infrared (ATR FT-IR) Spectroscopy. APPLIED SPECTROSCOPY 2019; 73:1041-1050. [PMID: 30990066 DOI: 10.1177/0003702819842548] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Milk spoilage is an inevitable occurrence, which generates waste and can result in food poisoning. When milk spoils, the off-flavor and curdling are due to excessive proliferation of various bacteria which causes pH changes. Time, temperature, environment, and previous handling practice all affect the spoilage rate. There is a need for a fast reliable and accurate method that can identify in situ early spoilage of milk. Here we show the ability of attenuated total reflection Fourier transformed infrared spectroscopy (ATR FT-IR) in conjunction with multivariate data analysis to predict the age of milk. We found that dried films vastly increased the absorbance of important biomolecules within milk such as lipids, proteins, and sugars, compared to an unchanged milk sample. This allowed us to note the minor discrepancies that happened in spoilage. Spoilt milk was characterized by bands associated with increased lipids, proteins, and lactic acid and a decrease in carbohydrates. A semi-quantitative prediction model for milk spoilage at room temperature demonstrated ATR FT-IR spectroscopy can predict milk age with a root mean square error of prediction of approximately 14 h. The model showed poor performance in the first 40 h but the predictions improved significantly after this time. The experimental procedure proposed for detecting biomolecules within milk has the potential to improve common practice. Furthermore, the model would be a starting point for newer and improved methods to predict the spoilage date of milk, with potential commercial uses to reduce food waste and costs to the milk industry.
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Affiliation(s)
- Zack Richardson
- Centre for Biospectroscopy, Monash University, Clayton, VIC, Australia
| | | | - Kamila Kochan
- Centre for Biospectroscopy, Monash University, Clayton, VIC, Australia
| | - Bayden R Wood
- Centre for Biospectroscopy, Monash University, Clayton, VIC, Australia
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Exploration of attenuated total reflectance mid-infrared spectroscopy and multivariate calibration to measure immunoglobulin G in human sera. Talanta 2015; 142:110-9. [DOI: 10.1016/j.talanta.2015.04.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2015] [Revised: 04/03/2015] [Accepted: 04/03/2015] [Indexed: 12/14/2022]
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Pérez-Guaita D, Sánchez-Illana Á, Garrigues S, de la Guardia M. Determination of lidocaine in urine at low ppm levels using dispersive microextraction and attenuated total reflectance–Fourier transform infrared measurements of dry films. Microchem J 2015. [DOI: 10.1016/j.microc.2015.03.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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