4.5 Article

Diagnosis of Systemic Diseases Using Infrared Spectroscopy: Detection of Iron Overload in Plasma-Preliminary Study

Journal

BIOLOGICAL TRACE ELEMENT RESEARCH
Volume 199, Issue 10, Pages 3737-3751

Publisher

SPRINGERNATURE
DOI: 10.1007/s12011-020-02510-3

Keywords

Infrared spectroscopy; FTIR; Vibrational spectroscopy; Iron overload; Iron accumulation

Funding

  1. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (Capes)
  2. PNPD Odontologia UNITAU
  3. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) [001]
  4. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [303077/2017-4 201820]
  5. Fundacao de Amparo a Pesquisa do Espirito Santo (FAPES) [80707483, 151/2019UNIVERSAL-FAPES, PRONEM 06/2019]
  6. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico [424070/2016-2 UNIVERSAL, 308541/2018-9]

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This study evaluated the accuracy of FTIR for IO diagnosis by collecting FTIR spectra of plasma samples from rats injected with iron-dextran and control rats. A classification model based on principal component analysis and supervised methods achieved 100% accuracy in classifying IO status and identified possible biomolecules related to the vibrational modes detected. This preliminary study took a step towards real-time diagnosis for acute IO or intoxication while expanding knowledge on the pathophysiological changes induced by iron overload.
Despite the important role of iron in cellular homeostasis, iron overload (IO) is associated with systemic and tissue deposits which damage several organs. In order to reduce the impact caused by IO, invasive diagnosis exams (e.g., biopsies) and minimally invasive methods were developed including computed tomography and magnetic resonance imaging. However, current diagnostic methods are still time-consuming and expensive. A cost-effective solution is using Fourier-transform infrared spectroscopy (FTIR) for real-time and molecular-sensitive biofluid analysis during conventional laboratory exams. In this study, we performed the first evaluation of the accuracy of FTIR for IO diagnosis. The study was performed by collecting FTIR spectra of plasma samples of five rats intravenously injected with iron-dextran and five control rats. We developed a classification model based on principal component analysis and supervised methods including J48, random forest, multilayer perceptron, and radial basis function network. We achieved 100% accuracy for the classification of the IO status and provided a list of possible biomolecules related to the vibrational modes detected. In this preliminary study, we give a first step towards real-time diagnosis for acute IO or intoxication. Furthermore, we have expanded the literature knowledge regarding the pathophysiological changes induced by iron overload.

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