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Biology subjects

Morawski, M.

Publications and source records attributed to Morawski, M..

15 recordsLinked to original sources

Single-cell quantification of the iron-neuromelanin balance in dopaminergic neurons across the lifespan

Dopaminergic neurons in the substantia nigra depend on iron for dopamine synthesis but are vulnerable to iron-induced oxidative stress. Many of these neurons synthesize neuromelanin, an iron-chelating pigment that accumulates across the lifespan and makes them vulnerable in Parkinsons disease. It remains unclear whether their selective vulnerability arises from neuromelanin overload or from the release of toxic labile iron from the oversaturated pigment. We quantified iron and neuromelanin at the single-cell level across the lifespan of chimpanzees, a species closely resembling humans in pigment and iron accumulation. Combining quantitative MRI, X-ray fluorescence imaging, and microscopic colorimetry, we found that the iron-to-neuromelanin ratio remains stable with age across large neuronal populations. Chemical equilibrium modeling of the iron binding in neuromelanin indicated that cytosolic labile iron concentrations remain low throughout adulthood. We have found no evidence for neuromelanin saturation or increased iron-mediated toxicity with age. This finding challenges the hypothesis that neuromelanin saturation drives age-related dopaminergic vulnerability. The presented method provides a quantitative framework for studying iron homeostasis in these neurons.

neuroscience↗

Giving you five: A neuroimaging atlas of the nigrosomes in the substantia nigra based on 3D histology

Nigrosomes are formed by clusters of pigmented dopaminergic cells in the substantia nigra that critically contribute to dopaminergic function. The ever-increasing resolution of ultra-high-field MRI brings clinical imaging of these clusters into reach, promising unprecedented insight into the functional role of the nigrosomes and their early degeneration in Parkinsons disease. However, due to the nigrosomes small extents and intricate shapes, they are not included in current MRI brain atlases, preventing nigrosome-specific MRI data analysis. We provide a comprehensive 3D histological atlas of the five nigrosomes co-aligned to the widely-used MNI152 2009b space. This atlas is based on 3D-reconstructed, ultra-high-resolution block-face images and gold-standard nigrosome delineations in calbindin-D28K immunohistochemistry. We validated the atlass accuracy using the multimodal ultra-high-resolution post mortem BigBrain dataset and demonstrated its consistency with qualitative nigrosome atlases based on classical 2D histology. We provide detailed usage instructions for applying our atlas to ultra-high-resolution and -field MRI data. The openly available atlas enables neuroimaging studies of the nigrosomes, opening a new avenue toward understanding the differential involvement of the nigrosomes in the healthy and diseased brain and the development of neuroimaging biomarkers of dopaminergic neurodegeneration.

neuroscience↗

3D Histology Validates 2D Histology for Axon Radius Distributions and Conduction Velocities

Axons are the brains wiring, organized into bundles that connect nearby and distant regions. Axon caliber determines signal conduction velocity and varies both within and across bundles, reflecting the brains diverse functional demands. Much of what we know about this organization derives from 2D histology, assuming cylindrical axons whose calibers are described by their radius. Yet, recent 3D histology reveals that the radius varies along an individual axon--with implications for both characterizing axon caliber and potentially conduction velocity predictions. We show in 450,000 3D rat axon reconstructions that--despite this individual variation--axon bundles possess stable radius distributions at the ensemble level, which 2D cross-sections faithfully represent. This representativeness extends to conduction velocity predictions, as along-axon variation has only modest impact. In particular, large axons exhibit especially stable conduction, emphasizing their key role in time-critical signaling. With 2D sampling validated, we leverage 46 million human corpus callosum axons from 2D histology to determine sample size requirements across neuroscience applications. Our findings reinforce decades of 2D histology-based research on axon organization and its functional implications, while guiding future study design.

neuroscience↗

Spatial and single-nucleus transcriptomic profile of a chimpanzee frontal pole

Chimpanzees, our closest living relatives, share a vast amount of our genetic code, with the majority of differences found in non-coding regions of the genome. Functional and gene regulatory differences drive phenotypic divergence, including the distinctive brain anatomy of humans compared to chimpanzees and other apes. However, little is known about species differences in gene expression, and how they relate to the evolution of neuroanatomy and cognition. This is primarily due to the limited availability of great ape brain samples and challenges in comparative spatial transcriptomic studies. Here, we present the first spatial transcriptomic data from a chimpanzee brain based on post mortem tissue from an adult female, who was euthanised due to poor health. We focus on the frontal pole, a brain region that has undergone significant evolutionary changes in size and organisation since the last common ancestor of humans and chimpanzees, and is considered critical for cognitive evolution. We examined the gene expression profiles and cell-type composition of the frontal pole on the left hemisphere, including both neuronal and non-neuronal cell types across cortical layers and white matter. By integrating our spatial transcriptomic data with a publicly available single-nucleus transcriptomic dataset of the chimpanzee dorsolateral prefrontal cortex, we mapped the spatial distribution of 29 chimpanzee brain cell types. This study represents a first step towards characterisation of spatial gene regulatory differences between the brains of non-human great apes and humans. Significance statementRecent advances in spatial transcriptomics technologies provided important insights into the spatial organisation of gene expression and cell types in human and mouse brains, yet applications in non-model organisms remain limited. Here, we present the first-ever spatial transcriptomics dataset from a chimpanzee brain. We demonstrate i) the applicability of a widely used spatial transcriptomics technique to chimpanzee brain samples freshly frozen in isopentane, and ii) an end-to-end pipeline for generating good-quality spatial transcriptomics data from chimpanzee brains. Our work paves the way for future comparative spatial transcriptomics studies across human and non-human primate brains, and marks a step toward applying spatial omics methods to great ape brains.

evolutionary biology↗

Lifespan trajectory of chimpanzee brains characterized by magnetic resonance imaging histology

Chimpanzee brain maturation provides an invaluable framework for understanding the evolution of the human brain. We performed ultra-high resolution quantitative magnetic resonance imaging (qMRI) with histological validation on post mortem brains from captive and wild chimpanzees with a broad age range. We mapped developmental myelination and age-related iron accumulation across regions and layers of the neocortex. Compared to humans, chimpanzees showed more myelination and iron deposition in motor and premotor cortices, while the auditory cortex was more strongly myelinated in humans. Our model suggests that chimpanzees cortical myelination was largely completed by the age of nine years, while iron accumulation continued throughout the lifespan. The regions with highest adult levels of myelin and iron took the longest to mature, challenging the widespread assumption that highly myelinated regions complete their development first. The reported maps and developmental curves provide a foundation for comparative neuroscience research and understanding of human brain evolution.

neuroscience↗

Human short association fibers are thinner and less myelinated than long fibers

The size and complexity of the human brain requires optimally sized and myelinated fibers. White matter fibers facilitate fast communication between distant areas, but also connect adjacent cortical regions via short association fibers. The fundamental questions of i) how thick these fibers are and ii) how strongly they are myelinated, however, remain unanswered. We present a comprehensive analysis of [~]400,000 fibers of human white matter regions with long (corpus callosum) and short fibers (superficial white matter). We demonstrate a substantially smaller fiber diameter and lower myelination in superficial white matter than in the corpus callosum. Surprisingly, we do not find a difference in the ratio between axon diameter and myelin thickness (g-ratio), which is close to the theoretically optimal value of [~]0.6 in both areas. For the first time, to our knowledge, we shed light on a fundamental principle of brain organization that will be essential to understand the human brain.

neuroscience↗

Neuroinfectiology of an atypical anthrax-causing pathogen in wild chimpanzees

Bacillus cereus biovar anthracis (Bcbva) is an atypical anthrax-causing bacterium, inflicting wildlife fatalities across African rainforest ecosystems. The pathogens virulence in one of our closest living relatives, the chimpanzee, together with human serological evidence, suggests Bcbva is zoonotic. While classical B. anthracis-induced anthrax has been described to affect the central nervous system at a progressive disease-state, the neuroinfectiology of Bcbva is yet unknown. Here we characterised the pathogens neuro-invasiveness via gross pathological assessment, ultra-high resolution quantitative Magnetic Resonance Imaging and histological analysis on four brains, which were extracted from naturally deceased wild chimpanzees in Tai National Park, Cote dIvoire. Based on macroscopically evident pial vessel congestion and haemorrhages as well as cortical siderosis detected via MRI, we concluded that Bcbva induced meningitis analogous to B. anthracis. Further, histological visualisation of bacteria and leukocytes in the subarachnoid space evidenced the bacteriums capability to breach the arachnoid barrier. Bcbva was detected in the brain parenchyma of all four cases. This indicates a higher ability to transgress the glia limitans and therefore exhibits a higher neuroinvasiveness compared to B. anthracis that predominantly stays confined to the meninges. Heightened glial fibrillary acidic protein (GFAP) expression but little morphological gliosis suggest a rapid disease progression leading to host-death within hours to a few days after central nervous system invasion. Overall our results reveal Bcbvas ability to breach blood-brain barriers which results in a pronounced neuropathogenicity. Bcbva causes extensive damage to the meninges and the brain parenchyma, as well as rapid and massive digestion of brain extracellular matrix in chimpanzees and potentially so in humans in case of zoonotic spillover.

neuroscience↗

High-Resolution Magnetization-Transfer Imaging of Post-Mortem Marmoset Brain: Comparisons with Relaxometry and Histology

Cell membranes and macromolecules or paramagnetic compounds interact with water proton spins, which modulates magnetic resonance imaging (MRI) contrast providing information on tissue composition. For a further investigation, quantitative magnetization transfer (qMT) parameters (at 3T), including the ratio of the macromolecular and water proton pools, [F], and the exchange-rate constant as well as the (observed) longitudinal and the effective transverse relaxation rates (at 3T and 7T), [Formula] and [Formula] respectively, were measured at high spatial resolution (200 m) in a slice of fixed marmoset brain and compared to histology results obtained with Gallyas myelin stain and Perls iron stain. [Formula] and [Formula] were linearly correlated with the iron content for the entire slice, whereas distinct differences were obtained between gray and white matter for correlations of relaxometry and qMT parameters with myelin content. The combined results suggest that the macromolecular pool interacting with water consists of myelin and (less efficient) non-myelin contributions. Despite strong correlation of [F] and [Formula] none of these parameters was uniquely specific to myelination. Due to additional sensitivity to iron stores, [Formula] and [Formula] were more sensitive for depicting microstructural differences between cortical layers than [F]. HighlightsO_LIMRI (200m) is correlated with myelin and iron histology in fixed marmoset brain. C_LIO_LIDetailed z-spectra are employed for precise magnetization-transfer (MT) measurements. C_LIO_LILongitudinal and effective transverse relaxation rates depend linearly on tissue iron. C_LIO_LILongitudinal relaxation and MT are not uniquely specific to myelin. C_LIO_LIMyelin and non-myelin macromolecules impact water relaxation and MT contrast. C_LI

neuroscience↗

Deciphering the fibre-orientation independent component of R2* (R2,iso*) in the human brain with a single multi-echo gradient-recalled-echo measurement under varying microstructural conditions

The effective transverse relaxation rate (R2*) is sensitive to the microstructure of the human brain, e.g. the g-ratio characterising the relative myelination of axons. However, R2* depends on the orientation of the fibres relative to the main magnetic field degrading its reproducibility and that of any microstructural derivative measure. To decipher its orientation-independent part (R2,iso*), a second-order polynomial in time (M2) can be applied to single multi-echo gradient-recalled-echo (meGRE) measurements at arbitrary orientation. The linear-time dependent parameter, {beta}1, of M2 can be biophysically related to R2,iso* when neglecting the signal from the myelin water (MW) in the hollow cylinder fibre model (HCFM). Here, we examined the effectiveness of M2 using experimental and simulated data with variable g-ratio and fibre dispersion. We showed that the fitted {beta}1 effectively estimates R2,iso*when using meGRE with long maximum echo time (TEmax {approx} 54 ms) but its microscopic dependence on the g-ratio was not accurately captured. This error was reduced to less than 12% when accounting for the MW contribution in a newly introduced biophysical expression for {beta}1. We further used this new expression to estimate the MW fraction (0.14) and g-ratio (0.79) in a human optic chiasm. However, the proposed method failed to estimate R2,iso* for a typical in-vivo meGRE protocol (TEmax {approx} 18 ms). At this TEmax and around the magic angle, the HCFM-based simulations failed to explain the R2*-orientation-dependence. In conclusion, estimation of R2,iso* with M2 in vivo requires meGRE protocols with very long TEmax {approx} 54 ms.

neuroscience↗

Myelin insulation as a risk factor for axonal degeneration in autoimmune demyelinating disease

Axonal degeneration determines the clinical outcome of multiple sclerosis (MS), and is thought to result from exposure of denuded axons to immune-mediated damage. We challenge this view after finding in MS and its mouse models that myelin itself increases the risk of axons to degenerate under inflammatory conditions. We propose a model for demyelinating diseases in which for axons that remain myelinated, and thus shielded from the extracellular milieu, dependence from oligodendroglial support turns fatal in an autoimmune disease environment.

neuroscience↗

A representative reference for MRI-based human axon radius assessment using light microscopy

Non-invasive assessment of axon radii via MRI bears great potential for clinical and neuroscience research as it is a main determinant of the neuronal conduction velocity. However, there is a lack of representative histological reference data on the scale of the cross-section of MRI voxels for validating the MRI-visible, effective radius (reff). Because the current gold standard stems from neuroanatomical studies designed to estimate the frequency-weighted arithmetic mean radius (rarith) on small ensembles of axons, it is unsuited to estimate the tail-weighted reff. We propose CNN-based segmentation on high-resolution, large-scale light microscopy (lsLM) data to generate a representative reference for reff. In a human corpus callosum, we assessed estimation accuracy and bias of rarith and reff. Furthermore, we investigated whether mapping anatomy-related variation of rarith and reff is confounded by low-frequency variation of the image intensity, e.g., due to staining heterogeneity. Finally, we analyzed the potential error due to outstandingly large axons in reff. Compared to rarith, reff was estimated with higher accuracy (normalized-root-mean-square-error of reff: 7.2 %; rarith: 21.5 %) and lower bias (normalized-mean-bias-error of reff: -1.7 %; rarith: 16 %). While rarith was confounded by variation of the image intensity, variation of reff seemed anatomy-related. The largest axons contributed between 0.9 % and 3 % to reff. In conclusion, the proposed method accurately estimates reff at MRI voxel resolution across a human corpus callosum sample. Further investigations are required to assess generalization to brain areas with different axon radii ensembles.

neuroscience↗

Mapping the Human Visual Thalamus and its Cytoarchitectonic Subdivisions Using Quantitative MRI

The human lateral geniculate nucleus (LGN) of the visual thalamus is a key subcortical processing site for visual information analysis. A non-invasive assessment of the LGN and its functionally and microstructurally distinct magnocellular (M) and parvocellular (P) subdivisions in-vivo in humans is challenging, because of its small size and location deep inside the brain. Here we tested whether recent advances in high-field structural quantitative MRI (qMRI) can enable MR-based mapping of human LGN subdivisions. We employed ultra-high resolution 7 Tesla qMRI of a post-mortem human LGN specimen and high-resolution 7 Tesla in-vivo qMRI in a large participant sample. We found that a quantitative assessment of the LGN and a differentiation of its subdivisions was possible based on microstructure-informed MR-contrast alone. In both the post-mortem and in-vivo qMRI data, we identified two components of shorter and longer longitudinal relaxation time (T1) within the LGN that coincided with the known anatomical locations of a dorsal P and a ventral M subdivision, respectively. Through a subsequent ground truth histological examination of the same post-mortem LGN specimen, we showed that the observed T1 contrast pertains to cyto- and myeloarchitectonic differences between LGN subdivisions. These differences were based on cell and myelin density, but not on iron content. Our qMRI-based mapping strategy overcomes shortcomings of previous fMRI-based mapping approaches. It paves the way for an in-depth understanding of the function and microstructure of the LGN in humans. It also enables investigations into the selective contributions of LGN subdivisions to human behavior in health and disease. Significance StatementThe lateral geniculate nucleus (LGN) is a key processing site for the analysis of visual information. Due to its small size and deep location within the brain, non-invasive mapping of the LGN and its microstructurally distinct subdivisions in humans is challenging. Using quantitative MRI methods that are sensitive to underlying microstructural tissue features, we show that a differentiation of the LGN and its microstructurally distinct subdivisions is feasible in humans non-invasively. These findings are important because they open up novel opportunities to assess the hitherto poorly understood complex role of the LGN in human perception and cognition, as well as the contribution of selective LGN subdivision impairments to various clinical conditions including developmental dyslexia, glaucoma and multiple sclerosis.

neuroscience↗

Measuring the iron content of dopaminergic neurons in substantia nigra with MRI relaxometry

In Parkinsons disease, the depletion of iron-rich dopaminergic neurons in substantia nigras nigrosome 1 precedes first motor symptoms by two decades. Monitoring this neuronal depletion at an early disease stage is needed for diagnosis and treatment monitoring. Magnetic resonance imaging (MRI) is particularly suitable for this task due to its sensitivity to tissue iron. However, the mechanisms of MRI contrast in substantia nigra are not well understood, hindering the development of specific biomarkers. We showed that the dominant contribution to the effective transverse MRI relaxation rate [Formula] in nigrosome 1 originates from iron accumulated in the neuromelanin of dopaminergic neurons. We linked [Formula] quantitatively to the product of cell density and local iron concentration in dopaminergic neurons, combining quantitative 3D iron histology, biophysical modeling, and quantitative MRI on post mortem brain tissue. This knowledge opens an avenue for monitoring neuronal iron and density in vivo and may be applied to detect early neurodegeneration in Parkinsons disease.

neuroscience↗

A molecular mechanism by which amyloid-β induces transcriptional inactivation of CREB in Alzheimer's Disease

Synaptic dysfunction caused by soluble {beta}-Amyloid (A{beta}) is a hallmark of the early stage of Alzheimers disease (AD) and is tightly linked to cognitive decline. A{beta} induces by yet unknown mechanisms disruption of transcriptional activity of cAMP- responsive element-binding protein (CREB), a master regulator of cell survival and plasticity-related gene expression. Here, we report that A{beta} elicits cytonuclear trafficking of Jacob, a protein serves as a mobile signaling hub that docks a signalosome to CREB, which induces transcriptional inactivation and subsequent synapse impairment and eventually loss in AD. The small chemical compound Nitarsone selectively hinders assembly of this signalosome and thereby restores CREB transcriptional activity. Nitarsone prevents impairment of synaptic plasticity as well as cognitive decline in mouse models of AD. Collectively, the data suggest that targeting Jacob induced CREB shutoff is a therapeutic avenue against early synaptic dysfunction in AD.

neuroscience↗

Deep Learning meets Topology-preserving Active Contours: towards scalable quantitative histology of cortical cytoarchitecture.

Deep learning has thoroughly changed the field of image analysis yielding impressive results whenever enough annotated data can be gathered. While partial annotation can be very fast, manual segmentation of 3D biological structures is tedious and error-prone. Additionally, high-level shape concepts such as topology or boundary smoothness are hard if not impossible to encode in Feedforward Neural Networks. Here we present a modular strategy for the accurate segmentation of neural cell bodies from light-sheet microscopy combining mixed-scale convolutional neural networks and topology-preserving geometric deformable models. We show that the network can be trained efficiently from simple cell centroid annotations, and that the final segmentation provides accurate cell detection and smooth segmentations that do not introduce further cell splitting or merging.

bioinformatics↗