Marco Palombo1,2, Clémence Ligneul1,2, Chloé Najac1,2, Juliette Le Douce1,2, Julien Flament1,2, Carole Escartin1,2, Philippe Hantraye1,2, Emmanuel Brouillet1,2, Gilles Bonvento1,2, and Julien Valette1,2
1CEA/DSV/I2BM/MIRCen, Fontenay-aux-Roses, France, 2CNRS Université Paris-Saclay UMR 9199, Fontenay-aux-Roses, France
Synopsis
A new diffusion-weighted MRS paradigm, combining advanced modeling with
metabolites diffusion measurements at long diffusion times, is applied in the
mouse and macaque brain in vivo. Resulting synthetic astrocytes and neurons
(derived from cell-specific metabolite diffusion) can be compared with
histological data. Very good agreement between Sholl analysis on real and
synthetic astrocytes validates our approach and assumptions. We also measure
increased size and complexity of synthetic astrocytes in primate compared to
mouse, while dendritic organization appears better conserved throughout
species. Although still in its infancy, our strategy opens new perspectives for
the non-invasive evaluation of brain cell morphology.Purpose
We investigate how our newly introduced paradigm
1, combining advanced modeling approaches with
intracellular metabolites diffusion measurements at long diffusion times (t
d),
compares qualitatively and quantitatively with histological data. Diffusion
compartments for supposedly astrocytic (myo-inositol Ins and choline compounds
tCho
2) and
neuronal metabolites (NAA and glutamate Glu) are reconstructed from
diffusion-weighted spectroscopy (DW-MRS) up to ultra-long t
d (2
seconds). Synthetic histological slices are then extracted, allowing
direct comparison with real histological slices. Quantitative evaluation of
cellular morphology by Sholl analysis yields very similar results for real
astrocytes and for synthetic cells reconstructed from Ins and tCho.
Interspecies comparison is also performed using our method: we are able to
measure major interspecies difference regarding synthetic astrocytes (echoing
the most recent knowledge about astrocytes), while dendritic organization
(gleaned from NAA and Glu diffusion) appears better conserved throughout
species. This work strongly suggests that the time dependence of metabolite
apparent diffusion coefficient (ADC), when adequately modeled, allows
quantitatively characterizing neuronal and astrocytic morphologies
non-invasively.
Methods
We have reported elsewhere how we measured
metabolite ADC in the macaque brain up to very long t
d using
a stimulated echo approach
1,3. In a similar fashion, here we measured metabolite ADC as a
function of t
d in
eight healthy C57/BL6 mice, on a 11.7 T Bruker scanner equipped with a cryoprobe. Spectra were acquired at b=0 and 3000 s/mm
2 for t
d=52, 352,
502, 652, 1002 and 2002 ms (Fig. 1). Post-processing consisted in scan-to-scan
phasing, eddy current correction and subtraction of experimental macromolecule
spectrum. Spectra were analyzed with LCModel to estimate the ADC of total
N-acetyl aspartate (tNAA=NAA+NAAG), total creatine (tCr), tCho, Glu, Ins. ADC(t
d) was
analyzed for each metabolite using our recently introduced simulation-fitting
pipeline
1.
Briefly, the intracellular diffusivity D
intra and
the morphometric statistics (mean and S.D. of segment length L
segment and SD
Lsegment, and mean and S.D. of embranchments along processes N
branch and SD
Nbranch) describing branched cells (like neurons and astrocytes) are
iterated until the ADC simulated for particles diffusing in corresponding cells
matches experimental ADC. The number of processes leaving the soma, as well as
fiber diameters, were set to realistic values for visual representation, but
this does not affect any of the quantitative results given below. Synthetic
tissues were built by positioning synthetic cells in 3D in a realistic manner.
We primarily considered Ins and tCho compartments to tentatively obtain a
synthetic tissue mainly representative of astrocytes, comparable with tissues
stained for glial fibrillary acidic protein (GFAP) observed by confocal
microscopy. 2500 cells were generated according to the morphometric statistics
of Ins and tCho compartments, for both mouse and previously acquired macaque
data
1. Only
cells intersecting a slice of the same thickness as the histological slices (40
μm) were considered for comparison. The 2D synthetic slices and the
histological slices of mouse brain were binarized and used to perform
Sholl-based analysis using Fiji toolbox integrated in ImageJ.
Results and Discussion
The morphometric statistics resulting from the
best fit for all five metabolites are reported in Table 1. Experimental ADC(t
d) and
simulation-fitting results, together with some synthetic cells corresponding to
the best fit are reported in Fig.2. The increased size and complexity of
synthetic astrocytes in primate compared to mouse can be visually assessed. We
find that the overall diameter of synthetic astrocytes is 2.52±0.10 times
larger in macaques, similar to the 2.55±0.05 ratio recently obtained from real
histology (Human versus rodent
4).
Conversely, dendritic organization appears better conserved throughout species,
and neuronal size (~500 µm overall diameter) agrees very well with the typical
extension of the dendritic tree of many neuronal types. Comparison between real
and synthetic astrocytes is reported in Fig.3, while the corresponding Sholl
analysis for mouse astrocytes is reported in Fig.4. In our opinion, the fact
that Ins and tCho share very similar diffusion compartments, combined with the
very good agreement between Sholl analysis on synthetic and real astrocytes
(Fig.4C), firmly supports the notion that Ins and tCho are mainly
compartmentalized in astrocytes, and provides a strong argument in favor of the
validity of our experimental and modeling strategies. Note that in this work we
focused on astrocytes because they represent a relatively homogenous population
(compared to neurons), and their domains do not overlap (at least in the mouse
brain), facilitating Sholl analysis.
Conclusion
The “non-invasive histology” paradigm that we
have introduced, although in its infancy and demanding for additional validation,
already yields striking results, and should stimulate future methodological and theoretical developments. The possibility to extract quantitative
information about long-range cellular structure might find applications in
preclinical and clinical research.
Acknowledgements
This work was funded by the European Research
Council (ERC-336331-INCELL).References
1 Palombo
M et al. "A new paradigm to assess brain cell microstructure by
diffusion-weighted magnetic resonance spectroscopy: proof of concept and
initial results in the macaque brain." This symposium.
2 Choi J.K. et al. NMR Biomed. 2007; 20(3): 216-237.
3 Najac C. et al., Neuroimage 2014; 90: 374-380.
4 Oberheim N.A. et al. J. Neurosci. 2009; 29(10): 3276-3287.