Articles producció científica> Enginyeria Química

Portable Mid-Infrared Spectroscopy Combined with Chemometrics to Diagnose Fibromyalgia and Other Rheumatologic Syndromes Using Rapid Volumetric Absorptive Microsampling

  • Identification data

    Identifier: imarina:9351837
    Authors:
    Nuguri SMHackshaw KVde Lamo Castellvi SBao HYao SAziz RSelinger SMikulik ZYu LOsuna-Diaz MMSebastian KRGiusti MMRodriguez-Saona L
    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.
  • Others:

    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
  • Keywords:

    Analytical Chemistry,Biochemistry & Molecular Biology,Chemistry (Miscellaneous),Chemistry, Multidisciplinary,Chemistry, Organic,Drug Discovery,Medicine (Miscellaneous),Molecular Medicine,Organic Chemistry,Pharmaceutical Science,Physical and Theoretical Chemistry
    Central sensitization
    Fibromyalgia
    Ft-mir
    Opls-da
    Point-of-care device
    Rheumatic diseases
    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
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