Author, as appears in the article.: Nuguri SM; Hackshaw KV; de Lamo Castellvi S; Bao H; Yao S; Aziz R; Selinger S; Mikulik Z; Yu L; Osuna-Diaz MM; Sebastian KR; Giusti MM; Rodriguez-Saona L
Department: Enginyeria Química
URV's Author/s: De Lamo Castellvi, Silvia
Keywords: Central sensitization Fibromyalgia Ft-mir Opls-da Point-of-care device Rheumatic diseases
Abstract: The diagnostic criteria for fibromyalgia (FM) have relied heavily on subjective reports of experienced symptoms coupled with examination-based evidence of diffuse tenderness due to the lack of reliable biomarkers. Rheumatic disorders that are common causes of chronic pain such as rheumatoid arthritis, systemic lupus erythematosus, osteoarthritis, and chronic low back pain are frequently found to be comorbid with FM. As a result, this can make the diagnosis of FM more challenging. We aim to develop a reliable classification algorithm using unique spectral profiles of portable FT-MIR that can be used as a real-time point-of-care device for the screening of FM. A novel volumetric absorptive microsampling (VAMS) technique ensured sample volume accuracies and minimized the variation introduced due to hematocrit-based bias. Blood samples from 337 subjects with different disorders (179 FM, 158 non-FM) collected with VAMS were analyzed. A semi-permeable membrane filtration approach was used to extract the blood samples, and spectral data were collected using a portable FT-MIR spectrometer. The OPLS-DA algorithm enabled the classification of the spectra into their corresponding classes with 84% accuracy, 83% sensitivity, and 85% specificity. The OPLS-DA regression plot indicated that spectral regions associated with amide bands and amino acids were responsible for discrimination patterns and can be potentially used as spectral biomarkers to differentiate FM and other rheumatic diseases.
Thematic Areas: Analytical chemistry Astronomia / física Biochemistry & molecular biology Biodiversidade Biotecnología Chemistry (miscellaneous) Chemistry, multidisciplinary Chemistry, organic Ciência da computação Ciência de alimentos Ciências agrárias i Ciências ambientais Ciências biológicas i Ciências biológicas ii Ciências biológicas iii Drug discovery Economia Educação física Engenharias i Engenharias ii Engenharias iii Engenharias iv Ensino Farmacia General medicine Geografía Interdisciplinar Matemática / probabilidade e estatística Materiais Medicina i Medicina ii Medicina iii Medicina veterinaria Medicine (miscellaneous) Molecular medicine Nutrição Odontología Organic chemistry Pharmaceutical science Physical and theoretical chemistry Planejamento urbano e regional / demografia Psicología Química Saúde coletiva Zootecnia / recursos pesqueiros
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: silvia.delamo@urv.cat silvia.delamo@urv.cat
Author identifier: 0000-0002-5261-6806 0000-0002-5261-6806
Record's date: 2024-02-10
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.mdpi.com/1420-3049/29/2/413
Papper original source: Molecules. 29 (2):
APA: Nuguri SM; Hackshaw KV; de Lamo Castellvi S; Bao H; Yao S; Aziz R; Selinger S; Mikulik Z; Yu L; Osuna-Diaz MM; Sebastian KR; Giusti MM; Rodriguez-Saon (2024). Portable Mid-Infrared Spectroscopy Combined with Chemometrics to Diagnose Fibromyalgia and Other Rheumatologic Syndromes Using Rapid Volumetric Absorptive Microsampling. Molecules, 29(2), -. DOI: 10.3390/molecules29020413
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Article's DOI: 10.3390/molecules29020413
Entity: Universitat Rovira i Virgili
Journal publication year: 2024
Publication Type: Journal Publications