Neuromelanin pigment biochemistry (Zecca review caption: NM-pigment biosynthesis & NM-containing organelle formation in human SN), Function (chelate iron / pigmented neurons vs TH correlation, Mor 2008 #1643), Rodent vs NHP, Neuromelanin-MRI section opener (Principle Sulzer 2018 #1597 / Iron in non-pigmented cells / SN pars reticulata, globus pallidus, caudate nucleus), METHODS (T1-weighted FSE / voxelwise NM-MRI / test-retest), Cassidy 2019 #1595 validation studies opener (NM-MRI vs neuromelanin tissue concentration / dopamine release / neural activity / clinical severity)
Function
- Directly bind to (Chelate) and sequester iron in the cytosol of neurons, thus protects neurons.
- Correlation: Neuromelanin pigment vs TH:
- (Mor, 2008 #1643) TH-negative pigmented neurons (no TH × Neuromelanin O) are present in the SN and LC of patients with PD (10-20%), but no normal controls (8). It is still uncertain whether these are dying neurons or not.
- (Mor, 2008 #1643) no correlation between the degree of pigmentation & TH immunoreactivity
- CF) pigmented neurons 표준화 AB(아 이건 그만 그만 ?)
Rodent
Rodent: no neuromelanin existing → less vulnerable to neurodegeneration
NHP: neuromelanin exist (n=at least macaques)
Neuromelanin-MRI
Principle
(Sulzer, 2018 #1597) Neuromelanin-iron complex is specific to NM neurons.
| NM-iron complex | Iron in non-pigmented cells | |
|---|---|---|
| NM-iron complexes are paramagnetic (i.e. possessing at least one unpaired electron, the chelating groups are catechols bearing a stable free radical) | Because most iron storage proteins (e.g. ferritin) is constructed of paramagnetic chelating groups are amino acids... but ferritin is the case of ferritin Fe-O. The N-MRI signal arises from a NM-iron complex. | |
| SN pars reticulata, globus pallidus, and caudate nucleus | are bound to neurons and less NM-iron complex | |
METHODS
- usually performed using T1-weighted fast spin echo sequence
- voxelwise method of NM-MRI analysis is now fully automated and can be run without requiring expertise or staff time.
- high test-retest reproducibility of NM-MRI techniques makes longitudinal studies of NM possible
- L-DOPA should increase NM (not fully examine since)
validation (Cassidy, 2019 #1595)
| Objective: Relationship between NM-MRI signal and | (n=7) | result | |
|---|---|---|---|
| Neuromelanin tissue concentration (biochemical method) | SN section (n=7), 41 healthy human Postmortem (i.e interindividual variability), Pectroscopiometric analysis of neuromelanin | linear model 굵은 회: ρ=-0.45, t(33)=-2.13, P=0.030, a 19% increase in NM-MRI CNR (contrast-to-noise ratio) corresponds with an estimated increase of 0.10 µg of NM per mg of tissue. | |
| Validation of voxelwise approach (i.e. to establish whether regional differences in NMMRI signal capture biologically meaningful variation in neuromelanin content within the substantia nigra) | 9 (HC) & 9 schizophrenia patients, [11C] raclopride] (baseline & dextroamphetamine administration) | higher NM-MRI signal had greater dopamine-release capacity (Spearman p = 0.64, 95% CI = 0.26-0.87, P = 0.013) | |
| Relationship of NM-MRI signal to neural activity in fMRI (ASL-MRI) to measure regional cerebral blood flow (CBF) | |||
| Relationship of NM-MRI signal to clinical severity | PANSS | ||
| study | cohort | Correlation with Neuromelanin MRI | Correlation with DAT imaging | Correlation with dopamine synthesis rate (1-dopa PET) | |
|---|---|---|---|---|---|
| (Isaias, 2016 #1065) | Cross sectional | SN volume: 70% of control 로서 DATScan 보다 덜 차이남 (SD는 30% 정도로 유사) | |||
| (Ito, 2017 #1668) | Cross sectional, HV | r=-0.24 | r=-0.47 |