Hair in Parkinson's disease patients exhibits differences in Calcium, Iron and Zinc concentrations measured by flame atomic absorption spectrometry − FAAS

Research output: Contribution to journalJournal articleResearchpeer-review

  • Altair B. dos Santos
  • Kohlmeier, Kristi Anne
  • Marcelo E. Rocha
  • George E. Barreto
  • Jeferson A. Barreto
  • Ana Carla A. de Souza
  • Marcos A. Bezerra

Imbalances in metals have emerged as playing a role in the pathophysiology of Parkinson's Disease (PD). Monitoring of metal levels could serve as a biomarker of presence, or future development, of this disease. To this end, we evaluated the ability of flame atomic absorption spectrometry (FAAS) to assess the concentrations of Ca, Fe and Zn in hair of PD patients and to investigate if there was an association with age and disease duration. Hair samples were collected from 26 clinically-diagnosed PD patients, and 33 healthy individuals. Concentrations of Ca and Fe were lower in PD patients when compared to control, whereas, a higher concentration of Zn was detected in PD patients. Levels of Ca and Fe did not vary with age nor with the duration of PD. While Zn did not present variation with duration of the disease, there was a correlation with age as PD patients older than 65 years exhibited a higher concentration of Zn than controls. We conclude that FAAS is useful for detecting differences in Fe, Ca and Zn in hair samples of patients with PD. Hair samples required for this method are easy to collect, and the technique relies on a simple method of digestion of the organic matrix. The ease of use of FAAS should allow for more frequent monitoring of metallic levels in patients in a variety of small clinical situations, thereby offering the hope of allowing systematic tracking of metal levels as the disease progresses, or prior to the defining motor symptoms.

Original languageEnglish
JournalJournal of Trace Elements in Medicine and Biology
Volume47
Pages (from-to)134-139
Number of pages6
ISSN0946-672X
DOIs
Publication statusPublished - 1 May 2018

    Research areas

  • Analytical methods, Metals unbalance, Neurochemistry, Neurodegenerative disease, Neurotoxicity

ID: 203010364