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Standards for Quantitative Metalloproteomic Analysis Using Size Exclusion ICP-MS
Published on: April 13, 2016
Serum Trace-Element Profiles and Exploratory Composite Indices in Multiple System Atrophy: A Case-Control Study
Aslı Aksoy Gündoğdu1, Bekir Enes Demiryürek2
1Department of Neurology, Faculty of Medicine, Tekirdağ Namık Kemal University, Tekirdağ 59030, Turkey.
Diagnostics (Basel, Switzerland)
|August 13, 2026
Summary
Multiple system atrophy (MSA) is linked to altered trace elements, specifically higher aluminum and copper, and lower iron and zinc. The Metal Burden Index (MBI) primarily reflects aluminum levels in MSA patients.
Area of Science:
- Neuroscience
- Toxicology
- Biochemistry
Background:
- Neurodegenerative disorders are associated with trace element imbalances.
- Data on trace elements in multiple system atrophy (MSA) are limited.
- This study investigates trace element profiles in MSA patients.
Purpose of the Study:
- To compare eleven trace elements between MSA patients and controls.
- To evaluate composite indices, including the Metal Burden Index (MBI), for their association with MSA.
- To explore potential biomarkers for MSA.
Main Methods:
- A case-control study involving 30 MSA patients and 30 controls.
- Quantification of eleven trace elements using ICP-MS.
- Calculation of the raw Metal Burden Index (MBI) and Neurotoxic Metal Score (NMS), with sensitivity analyses.
Main Results:
- MSA patients exhibited significantly higher serum aluminum and copper, and lower iron and zinc compared to controls.
- The raw MBI was significantly higher in MSA patients and associated with MSA status.
- Aluminum was the primary driver of the MBI difference; MBIz showed a significant association with MSA.
Conclusions:
- Multiple system atrophy is associated with distinct alterations in serum trace elements, notably elevated aluminum and copper, and reduced iron and zinc.
- The utility of the raw MBI as a standalone diagnostic tool for MSA is questionable due to its strong reliance on aluminum levels.
- Further validation in larger, multicenter cohorts is essential to confirm these findings and their clinical implications.