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Monitoring glucose levels in urine using FTIR spectroscopy combined with univariate and multivariate statistical methods.
Caixeta, Douglas Carvalho; Lima, Cassio; Xu, Yun; Guevara-Vega, Marco; Espindola, Foued Salmen; Goodacre, Royston; Zezell, Denise Maria; Sabino-Silva, Robinson.
Afiliación
  • Caixeta DC; Innovation Center in Salivary Diagnostics and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Brazil. Electronic address: caixetadoug@gmail.com.
  • Lima C; Center for Lasers and Applications, Nuclear and Energy Research Institute, IPEN-CNEN/SP, São Paulo, Brazil; Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom. Electronic a
  • Xu Y; Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom. Electronic address: Yun.Xu@liverpool.ac.uk.
  • Guevara-Vega M; Innovation Center in Salivary Diagnostics and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Brazil. Electronic address: marco.guevara.vega@gmail.com.
  • Espindola FS; Institute of Biotechnology, Federal University of Uberlandia, Uberlandia, Brazil. Electronic address: foued@ufu.br.
  • Goodacre R; Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom. Electronic address: roy.goodacre@liverpool.ac.uk.
  • Zezell DM; Center for Lasers and Applications, Nuclear and Energy Research Institute, IPEN-CNEN/SP, São Paulo, Brazil. Electronic address: zezell@gmail.com.
  • Sabino-Silva R; Innovation Center in Salivary Diagnostics and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Brazil. Electronic address: robinsonsabino@ufu.br.
Spectrochim Acta A Mol Biomol Spectrosc ; 290: 122259, 2023 Apr 05.
Article en En | MEDLINE | ID: mdl-36584643
The development of novel platforms for non-invasive continuous glucose monitoring applied in the screening and monitoring of diabetes is crucial to improve diabetes surveillance systems. Attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy of urine can be an alternative as a sustainable, label-free, fast, non-invasive, and highly sensitive analysis to detect changes in urine promoted by diabetes and insulin treatment. In this study, we used ATR-FTIR to evaluate the urinary components of non-diabetic (ND), diabetic (D), and diabetic insulin-treated (D + I) rats. As expected, insulin treatment was capable to revert changes in glycemia, 24-h urine collection volume, urine creatinine, urea, and glucose excretion promoted by diabetes. Several differences in the urine spectra of ND, D, and D + I were observed, with urea, creatinine, and glucose analytes being related to these changes. Principal components analysis (PCA) scores plots allowed for the discrimination of ND and D + I from D with an accuracy of âˆ¼ 99 %. The PCA loadings associated with PC1 confirmed the importance of urea and glucose vibrational modes for this discrimination. Univariate analysis of second derivative spectra showed a high correlation (r: 0.865, p < 0.0001) between the height of 1074 cm-1 vibrational mode with urinary glucose concentration. In order to estimate the amount of glucose present in the infrared spectra from urine, multivariate curve resolution-alternating least square (MCR-ALS) was applied and a higher predicted concentration of glucose in the urine was observed with a correlation of 78.9 % compared to urinary glucose concentration assessed using enzyme assays. In summary, ATR-FTIR combined with univariate and multivariate chemometric analyses provides an innovative, non-invasive, and sustainable approach to diabetes surveillance.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Automonitorización de la Glucosa Sanguínea / Insulinas Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Automonitorización de la Glucosa Sanguínea / Insulinas Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido