Magnetic Properties of Ferritin at Different Levels of Degradation: Implications for MRI ‐Based Iron Quantification in the Brain
Year: 2025
Type: article
Abstract: ABSTRACT Purpose Ferritin's iron core exhibits complex magnetic properties, as suggested by magnetometry and Mössbauer spectroscopy, which remain incompletely understood. In particular, the antiferromagnetic inner core could influence the accuracy of iron quantification using MRI and raise concerns about postmortem validation studies involving degraded ferritin cores. Methods Fresh postmortem brain samples from six deceased human subjects were analyzed using energy‐filtered transmission electron microscopy (EFTEM) and electron energy loss spectrometry in scanning mode of the TEM (STEM‐EELS) to visualize and quantify the iron cores of ferritin proteins and estimate their iron content. EFTEM findings were compared with results from mass spectrometry and R 2 * mapping at 3T. Analyses focused on three gray matter regions including the frontal cortex, putamen, and globus pallidus. Results Autolysis led to a rapid degradation of ferritin molecules, with fewer than one‐third remaining detectable via EFTEM 24 h postmortem. The degradation followed a single‐exponential decay pattern, suggesting that almost the entire non‐heme iron is stored in ferritin. However, R 2 * relaxation rates did not follow this degradation pattern but instead correlated strongly with total iron content as measured by mass spectrometry. Conclusion R 2 * mapping‐derived magnetic susceptibility of ferritin appears to be independent of the structural and magnetic organization of its iron core and shows a linear relationship with total iron content. These findings support the interpretation of ferritin as a simple paramagnet at room temperature, without significant antiferromagnetic contributions. Consequently, susceptibility based postmortem studies focusing on iron accumulation are not affected by autolysis.
Source: Magnetic Resonance in Medicine
DOI: 10.1002/mrm.70241
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,680
Funder: Austrian Science Fund
OpenAlex ID: W7117770274
