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Multivariate classification techniques and mass spectrometry as a tool in the screening of patients with fibromyalgia.
Alves, Marcelo V S; Maciel, Lanaia I L; Ramalho, Ruver R F; Lima, Leomir A S; Vaz, Boniek G; Morais, Camilo L M; Passos, João O S; Pegado, Rodrigo; Lima, Kássio M G.
Afiliação
  • Alves MVS; Institute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande do Norte, Natal, 59072-970, Brazil.
  • Maciel LIL; Institute of Chemistry, Federal University of Goiás, Samambaia St., Goiânia, GO, 74690-900, Brazil.
  • Ramalho RRF; Institute of Chemistry, Federal University of Goiás, Samambaia St., Goiânia, GO, 74690-900, Brazil.
  • Lima LAS; Estácio de Sá Goiás, North Regional, Goiânia, GO, 74063-010, Brazil.
  • Vaz BG; Institute of Chemistry, Federal University of Goiás, Samambaia St., Goiânia, GO, 74690-900, Brazil.
  • Morais CLM; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE, UK.
  • Passos JOS; Postgraduation Program in Rehabilitation Sciences, Faculty of Health Science of Trairí, Federal University of Rio Grande do Norte, Trairí St., Santa Cruz, RN, 59200-000, Brazil.
  • Pegado R; Postgraduation Program in Rehabilitation Sciences, Faculty of Health Science of Trairí, Federal University of Rio Grande do Norte, Trairí St., Santa Cruz, RN, 59200-000, Brazil.
  • Lima KMG; Institute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande do Norte, Natal, 59072-970, Brazil. kassiolima@gmail.com.
Sci Rep ; 11(1): 22625, 2021 11 19.
Article em En | MEDLINE | ID: mdl-34799667
Fibromyalgia is a rheumatological disorder that causes chronic pain and other symptomatic conditions such as depression and anxiety. Despite its relevance, the disease still presents a complex diagnosis where the doctor needs to have a correct clinical interpretation of the symptoms. In this context, it is valid to study tools that assist in the screening of this disease, using chemical work techniques such as mass spectroscopy. In this study, an analytical method is proposed to detect individuals with fibromyalgia (n = 20, 10 control samples and 10 samples with fibromyalgia) from blood plasma samples analyzed by mass spectrometry with paper spray ionization and subsequent multivariate classification of the spectral data (unsupervised and supervised), in addition to the treatment of selected variables with possible associations with metabolomics. Exploratory analysis with principal component analysis (PCA) and supervised analysis with successive projections algorithm with linear discriminant analysis (SPA-LDA) showed satisfactory results with 100% accuracy for sample prediction in both groups. This demonstrates that this combination of techniques can be used as a simple, reliable and fast tool in the development of clinical diagnosis of Fibromyalgia.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Fibromialgia / Programas de Rastreamento Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Fibromialgia / Programas de Rastreamento Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido