Modeling Midbrain and Brainstem Neuromelanins to Characterize Metal Binding and Associated MRI Contrast in Parkinson's and Alzheimer's Diseases
- PMID: 40970816
- PMCID: PMC12501727
- DOI: 10.1002/anie.202509102
Modeling Midbrain and Brainstem Neuromelanins to Characterize Metal Binding and Associated MRI Contrast in Parkinson's and Alzheimer's Diseases
Abstract
Neuromelanin (NM) is a dark pigment that binds potentially toxic metal ions and is crucial for neuronal vulnerability. Magnetic resonance imaging (MRI) was proposed to measure neuromelanin in the substantia nigra or locus coeruleus, potentially providing a marker of Parkinson's disease. Here, synthetic neuromelanin analogues were prepared with iron and copper and used for characterization of metal binding and impact on proton relaxation, a prerequisite for optimizing neuromelanin-sensitive MRI. The results confirm the presence of paramagnetic mononuclear Fe(III) and antiferromagnetically coupled clusters, which enhance relaxation to variable degrees. Further complexity arises from Cu(II), which can compete for binding to mononuclear sites, aggregate in mixed-metal clusters, or bind to proteins associated with the melanin moiety. Unlike the strong relaxant Fe(III), Cu(II) only indirectly impacts relaxation by replacing iron. Overall, MRI primarily provides measures of average neuromelanin concentrations. Information on the distribution of neuromelanins with different metal compositions might be obtained with multiparametric MRI.
Keywords: Bioinorganic chemistry; Copper; Iron; Magnetic resonance; Neuromelanin.
© 2025 The Author(s). Angewandte Chemie International Edition published by Wiley‐VCH GmbH.
Conflict of interest statement
The authors declare no conflict of interest.
Figures
obtained by monoexponential fitting with the amount of EPR‐active Fe(III) (measured at 10 K). Linear regression in mixed‐metal conjugates (solid lines) yielded R
1/s−1 = (0.685 ± 0.028) + (0.00201 ± 0.00061)s
Fe and R
1/s−1 = (0.796 ± 0.042) + (0.00441 ± 0.00085)s
Fe in PheoβLG‐CuFe and EuβLG‐CuFe, respectively, as well as R
2/s−1 = (2.285 ± 0.066) + (0.0027 ± 0.0012)s
Fe for the combined data from both melanins. Blue and red arrows show the R
1 or R
difference between the metal‐free conjugate (see Table S4) and the extrapolation of the regression line toward s
Fe = 0. c) Negative correlation of the fraction of the slow‐relaxing compartment with the total metal content (here expressed as magneton concentration ). Estimates of fa
in the gray shaded area were considered less reliable and excluded in the analysis. d) Variation of the bulk magnetic susceptibility with the total metal content. The Δχ values reflect the susceptibility difference between the melanin/gel suspensions and the agarose gel doped with (paramagnetic) gadopentetate dimeglumine surrounding the samples (see Figure S6). The resulting negative values, hence, do not mean that the conjugates are diamagnetic.
, where the combined contribution from homonuclear (Cu only or Fe only) and mixed‐metal (Cu‐Fe) clusters, R
, was assigned to the extrapolated R
1 for (Figure 7a) and assumed to be invariant (areas shaded in dark blue or orange. Areas shaded in light blue or orange indicate the PRE due to mononuclear Fe(III). Solid blue and red lines labeled as “0” show the R
1 variation for negligible copper content. was taken from the slope of the linear‐regression result (Figure 7a) and c
0 and c
2 from the Langmuir model (Figure 5a). Further solid lines show R
1 in mixed‐metal samples (“iso‐Cu contour lines”) for different Cu/Fe ratios of the conjugates. Arrows indicate the decreasing PRE from Fe(III) with increasing copper content. Open diamonds and circles indicate previously obtained metal concentrations in NM extracted from human substantia nigra and locus coeruleus, respectively (Table 2).
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Grants and funding
- Max Planck Society (HEM) and the International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (NW)
- Pezzoli Foundation for Parkinson's disease (Milan, Italy)
- Italian Ministry of University and Research (MUR)-"InvAt Project-Active and Healthy Aging (FOE 2022)"
- University of Pavia, "Dipartimenti di Eccellenza 2023-2027"
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