Autor segons l'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
Departament: Enginyeria Química
Autor/s de la URV: De Lamo Castellvi, Silvia
Paraules clau: Central sensitization Fibromyalgia Ft-mir Opls-da Point-of-care device Rheumatic diseases
Resum: 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.
Àrees temàtiques: 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
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: silvia.delamo@urv.cat silvia.delamo@urv.cat
Identificador de l'autor: 0000-0002-5261-6806 0000-0002-5261-6806
Data d'alta del registre: 2024-02-10
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.mdpi.com/1420-3049/29/2/413
Referència a l'article segons font original: Molecules. 29 (2):
Referència de l'ítem segons les normes 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
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.3390/molecules29020413
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2024
Tipus de publicació: Journal Publications