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Vanishing white matter disease (VWM) is a severe leukodystrophy of the central nervous system caused by mutations in subunits of the eukaryotic initiation factor 2B complex (eIF2B). Current models only partially recapitulate key disease features, and pathophysiology is poorly understood. Through development and validation of zebrafish (Danio rerio) models of VWM, we demonstrate that zebrafish eif2b mutants phenocopy VWM, including impaired somatic growth, early lethality, effects on myelination, loss of oligodendrocyte precursor cells, increased apoptosis in the CNS, and impaired motor swimming behavior. Expression of human EIF2B2 in the zebrafish eif2b2 mutant rescues lethality and CNS apoptosis, demonstrating conservation of function between zebrafish and human. In the mutants, intron 12 retention leads to expression of a truncated eif2b5 transcript. Expression of the truncated eif2b5 in wild-type larva impairs motor behavior and activates the ISR, suggesting that a feed-forward mechanism in VWM is a significant component of disease pathophysiology.

Orientation distribution functions (ODFs) are widely used to resolve fiber crossing problems in high angular resolution diffusion imaging (HARDI). The characteristics of the ODFs are often assessed using a visual criterion, although the use of objective criteria is also reported, which are directly borrowed from classic signal and image processing theory because they are intuitive and simple to compute. However, they are not always pertinent for the characterization of ODFs. We propose a more general paradigm for assessing the characteristics of ODFs. The idea consists in regarding an ODF as a three-dimensional (3D) point cloud, projecting the 3D point cloud onto an angle-distance map, constructing an angle-distance matrix, and calculating metrics such as length ratio, separability, and uncertainty. The results from both simulated and real data show that the proposed metrics allow for the assessment of the characteristics of ODFs in a quantitative and relatively complete manner.

Diffusion tensor imaging and high angular resolution diffusion imaging are often used to analyze the fiber complexity of tissues. In these imaging techniques, the most commonly calculated metric is anisotropy, such as fractional anisotropy (FA), generalized anisotropy (GA), and generalized fractional anisotropy (GFA). The basic idea underlying these metrics is to compute the deviation from free or spherical diffusion. However, in many cases, the question is not really to know whether it concerns spherical diffusion. Instead, the main concern is to describe and quantify fiber complexity such as fiber crossing in a voxel. In this context, it would be more direct and effective to compute the deviation from a single fiber bundle instead of a sphere. We propose a new metric, called PEAM (PEAnut Metric), which is based on computing the deviation of orientation diffusion functions (ODFs) from a single fiber bundle ODF represented by a peanut. As an example, the proposed PEAM metric is used to classify intravoxel fiber configurations. The results on simulated data, physical phantom data and real brain data consistently showed that the proposed PEAM provides greater accuracy than FA, GA and GFA and enables parallel and complex fibers to be better distinguished. [ABSTRACT FROM AUTHOR]

Peripheral nerve injury is a significant public health challenge, with limited treatment options and potential lifelong impact on function. More than just an intrinsic part of nerve anatomy, the vascular network of nerves impact regeneration, including perfusion for metabolic demands, appropriate signaling and growth factors, and structural scaffolding for Schwann cell and axonal migration. However, the established nerve injury classification paradigm proposed by Sydney Sunderland in 1951 is based solely on hierarchical disruption to gross anatomical nerve structures and lacks further information regarding the state of cellular, metabolic, or inflammatory processes that are critical in determining regenerative outcomes. This review covers the anatomical structure of nerve-associated vasculature, and describes the biological processes that makes these vessels critical to successful end-organ reinnervation after severe nerve injuries. We then propose a theoretical framework that incorporates measurements of blood vessel perfusion and inflammation to unify perspectives on all mechanisms of nerve injury.

The development of cell- and gene-based strategies for regenerative medicine offers a therapeutic option for the repair and potential regeneration of damaged cardiac tissue post-myocardial infarction (MI). Human umbilical cord subepithelial cell-derived stem cells (hUC-SECs), human bone marrow-derived mesenchymal stem cells (hBM-MSCs), and human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs), all derived from human tissue, have been shown to have in vitro and in vivo therapeutic potential. Additionally, S100a1, VEGF165, and stromal-derived factor-1α (SDF-1α) genes all have the potential to improve cardiac function and/or effect adverse remodeling. In this study, we compared the therapeutic potential of hBM-MSCs, hUC-SECs, and hiPSC-CMs along with plasmid-based genes to evaluate the in vivo potential of intramyocardially injected biologics to enhance cardiac function in a mouse MI model. Human cells derived from various tissue types were expanded under hypoxic conditions and injected intramyocardially into mice that had undergone left anterior descending (LAD) artery ligation. Similarly, plasmids were also injected into three groups of mice after LAD ligation. Seven experimental groups were studied in total: ( 1 ) control (saline), ( 2 ) hBM-MSCs, ( 3 ) hiPSC-CMs, ( 4 ) hUC-SECs, ( 5 ) S100a1 plasmid, ( 6 ) VEGF165 plasmid, and ( 7 ) SDF-1α plasmid. We evaluated echocardiography, hemodynamic catheterization measurements, and histology at 4 and 12 weeks post-biologic injection. Significant improvement was observed in cardiac function and contractility in hiPSC-CM and S100a1 groups and a significant reduction in left ventricle scar within the hUC-SEC group and a slight improvement in the SDF-1α and VEGF165 groups compared to the control group. These results demonstrate the potential for new biologic therapies to reduce scar burden and improve contractile function.