Articles producció científica> Enginyeria Química

Early Diagnosis of Fibromyalgia Using Surface-Enhanced Raman Spectroscopy Combined with Chemometrics

  • Datos identificativos

    Identificador: imarina:9351842
    Handle: http://hdl.handle.net/20.500.11797/imarina9351842
  • Autores:

    Bao, HN
    Hackshaw, KV
    Castellvi, SD
    Wu, YL
    Gonzalez, CM
    Nuguri, SM
    Yao, SY
    Goetzman, CM
    Schultz, ZD
    Yu, LB
    Aziz, R
    Osuna-Diaz, MM
    Sebastian, KR
    Giusti, MM
    Rodriguez-Saona, L
  • Otros:

    Autor según el artículo: Bao, HN; Hackshaw, KV; Castellvi, SD; Wu, YL; Gonzalez, CM; Nuguri, SM; Yao, SY; Goetzman, CM; Schultz, ZD; Yu, LB; Aziz, R; Osuna-Diaz, MM; Sebastian, KR; Giusti, MM; Rodriguez-Saona, L
    Departamento: Enginyeria Química
    Autor/es de la URV: De Lamo Castellvi, Silvia
    Palabras clave: Surface-enhanced raman spectroscopy Rheumatic-diseases Metabolic fingerprinting In-clinic disease diagnostics Fibromyalgia Chemometrics Central sensitization syndrome Blood surface-enhanced raman spectroscopy spectra serum prevalence pain metabolic fingerprinting inventory in-clinic disease diagnostics criteria classification chemometrics central sensitization syndrome blood amino-acids american-college
    Resumen: Fibromyalgia (FM) is a chronic muscle pain disorder that shares several clinical features with other related rheumatologic disorders. This study investigates the feasibility of using surface-enhanced Raman spectroscopy (SERS) with gold nanoparticles (AuNPs) as a fingerprinting approach to diagnose FM and other rheumatic diseases such as rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), osteoarthritis (OA), and chronic low back pain (CLBP). Blood samples were obtained on protein saver cards from FM (n = 83), non-FM (n = 54), and healthy (NC, n = 9) subjects. A semi-permeable membrane filtration method was used to obtain low-molecular-weight fraction (LMF) serum of the blood samples. SERS measurement conditions were standardized to enhance the LMF signal. An OPLS-DA algorithm created using the spectral region 750 to 1720 cm−1 enabled the classification of the spectra into their corresponding FM and non-FM classes (Rcv > 0.99) with 100% accuracy, sensitivity, and specificity. The OPLS-DA regression plot indicated that spectral regions associated with amino acids were responsible for discrimination patterns and can be potentially used as spectral biomarkers to differentiate FM and other rheumatic diseases. This exploratory work suggests that the AuNP SERS method in combination with OPLS-DA analysis has great potential for the label-free diagnosis of FM.
    Áreas temáticas: Pharmacology & pharmacy Medicine, research & experimental Medicine (miscellaneous) General biochemistry,genetics and molecular biology Ciencias sociales Biochemistry, genetics and molecular biology (miscellaneous) Biochemistry, genetics and molecular biology (all) Biochemistry & molecular biology
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: silvia.delamo@urv.cat silvia.delamo@urv.cat
    Identificador del autor: 0000-0002-5261-6806 0000-0002-5261-6806
    Fecha de alta del registro: 2024-02-17
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.mdpi.com/2227-9059/12/1/133
    Referencia al articulo segun fuente origial: Biomedicines. 12 (1):
    Referencia de l'ítem segons les normes APA: Bao, HN; Hackshaw, KV; Castellvi, SD; Wu, YL; Gonzalez, CM; Nuguri, SM; Yao, SY; Goetzman, CM; Schultz, ZD; Yu, LB; Aziz, R; Osuna-Diaz, MM; Sebastian (2024). Early Diagnosis of Fibromyalgia Using Surface-Enhanced Raman Spectroscopy Combined with Chemometrics. Biomedicines, 12(1), -. DOI: 10.3390/biomedicines12010133
    URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
    DOI del artículo: 10.3390/biomedicines12010133
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2024
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Biochemistry & Molecular Biology,Biochemistry, Genetics and Molecular Biology (Miscellaneous),Medicine (Miscellaneous),Medicine, Research & Experimental,Pharmacology & Pharmacy
    Surface-enhanced raman spectroscopy
    Rheumatic-diseases
    Metabolic fingerprinting
    In-clinic disease diagnostics
    Fibromyalgia
    Chemometrics
    Central sensitization syndrome
    Blood
    surface-enhanced raman spectroscopy
    spectra
    serum
    prevalence
    pain
    metabolic fingerprinting
    inventory
    in-clinic disease diagnostics
    criteria
    classification
    chemometrics
    central sensitization syndrome
    blood
    amino-acids
    american-college
    Pharmacology & pharmacy
    Medicine, research & experimental
    Medicine (miscellaneous)
    General biochemistry,genetics and molecular biology
    Ciencias sociales
    Biochemistry, genetics and molecular biology (miscellaneous)
    Biochemistry, genetics and molecular biology (all)
    Biochemistry & molecular biology
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