Biology subjects

Chauveau, F.

Publications and source records attributed to Chauveau, F..

3 recordsLinked to original sources

bioRxiv2022

Virtual histology of Alzheimer's Disease: why are amyloid-β plaques visible with X-ray phase-contrast imaging?

Amyloid-{beta} (A{beta}) plaques from Alzheimers Disease (AD) can be visualized ex vivo in label-free brain samples using synchrotron X-ray phase-contrast tomography (XPCT). However, for XPCT to be useful as a screening method for amyloid pathology, it is essential to understand which factors drive the detection of A{beta} plaques. The current study was designed to test the hypothesis that A{beta}-related contrast in XPCT could be caused by the A{beta} fibrils and/or by metals trapped in the plaques. This study probed the fibrillar and elemental compositions of A{beta} plaques in brain samples from different types of AD patients and AD models to establish a relationship between XPCT contrast and A{beta} plaque characteristics. XPCT, micro-Fourier-Transform Infrared spectroscopy and micro-X-Ray Fluorescence spectroscopy were conducted on human samples (genetic and sporadic cases) and on four transgenic rodent strains (mouse: APPPS1, ArcA{beta}, J20; rat: TgF344). A{beta} plaques from the genetic AD patient were visible using XPCT, and had higher {beta}-sheet content and higher metal levels than the sporadic AD patient, which remained undetected by XPCT. A{beta} plaques in J20 mice and TgF344 rats appeared hyperintense on XPCT images, while they were hypointense with an hyperintense core in the case of APPPS1 and ArcA{beta} mice. In all four transgenic strains, {beta}-sheet content was similar, while metal levels were highly variable: J20 (zinc and iron) and TgF344 (copper) strains showed greater metal accumulation than APPPS1 and ArcA{beta} mice. Hence, a positive contrast formation of A{beta} plaques in XPCT images appeared driven by biometal entrapment. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=143 SRC="FIGDIR/small/509706v2_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@56e672org.highwire.dtl.DTLVardef@1336d85org.highwire.dtl.DTLVardef@15b6690org.highwire.dtl.DTLVardef@1aaa6cb_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIAmyloid-{beta} plaques in the different forms of Alzheimers Disease have various contrasts in X-ray phase-contrast tomography C_LIO_LIIn transgenic rodents, a core-restricted, positive contrast is driven by the level of metal entrapment within plaques C_LIO_LIIn humans, greater and more diffuse metal accumulation lead to a positive contrast in a genetic case of AD C_LI

biophysics↗

bioRxiv2021

Brain virtual histology with X-ray phase-contrast tomography Part I: whole-brain myelin mapping in white-matter injury models

White-matter injury leads to severe functional loss in many neurological diseases. Myelin staining on histological samples is the most common technique to investigate white-matter fibers. However, tissue processing and sectioning may affect the reliability of 3D volumetric assessments. The purpose of this study was to propose an approach that enables myelin fibers to be mapped in the whole rodent brain with microscopic resolution and without the need for strenuous staining. With this aim, we coupled inline (propagation-based) X-ray phase-contrast tomography (XPCT) to ethanol-induced brain sample dehydration. We here provide the proof-of-concept that this approach enhances myelinated axons in rodent and human brain tissue. In addition, we demonstrated that white-matter injuries could be detected and quantified with this approach, using three animal models: ischemic stroke, premature birth and multiple sclerosis. Furthermore, in analogy to diffusion tensor imaging (DTI), we retrieved fiber directions and DTI-like diffusion metrics from our XPCT data to quantitatively characterize white-matter microstructure. Finally, we showed that this non-destructive approach was compatible with subsequent complementary brain sample analysis by conventional histology. In-line XPCT might thus become a novel gold-standard for investigating white-matter injury in the intact brain. This is Part I of a series of two articles reporting the value of in-line XPCT for virtual histology of the brain; Part II shows how in-line XPCT enables the whole-brain 3D morphometric analysis of amyloid-{beta} (A{beta}) plaques. HighlightsO_LIX-ray phase-contrast tomography (XPCT) enables myelin mapping of the whole brain C_LIO_LIXPCT detects and quantifies white-matter injuries in a range of diseases C_LIO_LIFiber directions and anisotropy metrics can be retrieved from XPCT data C_LIO_LIXPCT is compatible with subsequent conventional histology of brain samples C_LIO_LIXPCT is a powerful virtual histology tool that requires minimal sample preparation C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/436852v3_ufig1.gif" ALT="Figure 1"> View larger version (65K): org.highwire.dtl.DTLVardef@1b06ba6org.highwire.dtl.DTLVardef@16b8d4aorg.highwire.dtl.DTLVardef@91cfborg.highwire.dtl.DTLVardef@4dcbca_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2021

Brain virtual histology with X-ray phase-contrast tomography Part II: 3D morphologies of amyloid-β plaques in Alzheimer's disease models

While numerous transgenic mouse strains have been produced to model the formation of amyloid-{beta} (A{beta}) plaques in the brain, efficient methods for whole-brain 3D analysis of A{beta} deposits are lacking. Moreover, standard immunohistochemistry performed on brain slices precludes any shape analysis of A{beta} plaques. The present study shows how in-line (propagation-based) X-ray phase-contrast tomography (XPCT) combined with ethanol-induced brain sample dehydration enables hippocampus-wide detection and morphometric analysis of A{beta} plaques. Performed in three distinct Alzheimer mouse strains, the proposed workflow identified differences in signal intensity and 3D shape parameters: 3xTg displayed a different type of A{beta} plaques, with a larger volume and area, greater elongation, flatness and mean breadth, and more intense average signal than J20 and APP/PS1. As a label-free non-destructive technique, XPCT can be combined with standard immunohistochemistry. XPCT virtual histology could thus become instrumental in quantifying the 3D spreading and the morphological impact of seeding when studying prion-like properties of A{beta} aggregates in animal models of Alzheimers disease. This is Part II of a series of two articles reporting the value of in-line XPCT for virtual histology of the brain; Part I shows how in-line XPCT enables 3D myelin mapping in the whole rodent brain and in human autopsy brain tissue. HighlightsO_LIX-ray phase-contrast tomography (XPCT) enables whole brain detection of A{beta} plaques C_LIO_LIMorphometric parameters of A{beta} plaques may be readily retrieved from XPCT data C_LIO_LINew shape parameters were successfully extracted from three Alzheimers disease models C_LIO_LIA Fiji-based "biologist-friendly" analysis workflow is proposed and shared C_LIO_LIXPCT is a powerful virtual histology tool that requires minimal sample preparation C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/436908v2_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@7c3167org.highwire.dtl.DTLVardef@18f689eorg.highwire.dtl.DTLVardef@1d9c72org.highwire.dtl.DTLVardef@a027a_HPS_FORMAT_FIGEXP M_FIG Graphical abstract C_FIG

neuroscience↗