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Background: Increased brain docosahexaenoic acid (DHA) uptake reflects a compensatory mechanism for maintaining brain DHA homeostasis and can be captured through PET‐MRI scan uptake studies using radiolabeled DHA. It has been previously shown that APOE4 status and alcohol intake alter brain DHA uptake in mice. Whether a change in DHA intake affects the brain DHA incorporation coefficient (K*) however is not known. Method: Four‐month‐old C57BL/6J mice were fed either a diet rich in DHA (15 kcal% Fat, 1.7 g/kg ALA, and 7g/kg DHA) or deficient in DHA (15 kcal% Fat and 0.9 mg/kg ALA) for 4 months. At 8 months, anesthetized mice were subjected to dynamic PET‐MRI for 30 min following i.v. injection of 22‐[18F]fluorodocosahexaenoic acid ([18F]FDHA), prepared in‐house through radiosynthesis. Using an image‐derived cardiac input function, brain uptake was assessed by estimating [18F]FDHA K* values using both the Patlak model approach and the irreversible two‐tissue compartmental model (Irr2TCM) with and without correction of the brain radioactivity for radioactive spillover from the skull. Mice were then sacrificed, and the plasma and brains were analyzed using liquid chromatography‐mass spectrometry (LC‐MS) to evaluate differences in the unlabeled concentrations of fatty acids into phospholipids, triglycerides, and other lipids. Result: There was no significant difference in the [18F]FDHA K* estimates (with either Patlak or Irr2TCM) between mice fed a DHA‐rich or a DHA‐deficient diet. LC‐MS based lipidomic analysis showed that the DHA‐rich diet significantly increased DHA concentration in triglycerides in plasma and in phosphatidylethanolamine in the brain. Conclusion: These results suggest that under physiological conditions, increased dietary intake of DHA in wild‐type mice increases DHA in brain phosphatidylethanolamine and in plasma triglycerides without changing the DHA K*. The net effect likely is increased brain DHA uptake, equal to the product of unesterified DHA plasma concentration and K*. Imaging brain DHA with dynamic [18F]FDHA PET‐MRI is a potentially useful tool not only to investigate the APOE4 phenotype, which promotes DHA dysregulation, but also to assess dietary and pharmacological interventions that affect brain DHA homeostasis as well as to guide future treatments. [ABSTRACT FROM AUTHOR]

Automated screening systems in conjunction with machine learning-based methods are becoming an essential part of the healthcare systems for assisting in disease diagnosis. Moreover, manually annotating data and hand-crafting features for training purposes are impractical and time-consuming. We propose a segmentation and classification-based approach for assembling an automated screening system for the analysis of calcium imaging. The method was developed and verified using the effects of disease IgGs (from Amyotrophic Lateral Sclerosis patients) on calcium (Ca2+) homeostasis. From 33 imaging videos we analyzed, 21 belonged to the disease and 12 to the control experimental groups. The method consists of three main steps: projection, segmentation, and classification. The entire Ca2+ time-lapse image recordings (videos) were projected into a single image using different projection methods. Segmentation was performed by using a multi-level thresholding (MLT) step and the Regions of Interest (ROIs) that encompassed cell somas were detected. A mean value of the pixels within these boundaries was collected at each time point to obtain the Ca2+ traces (time-series). Finally, a new matrix called feature image was generated from those traces and used for assessing the classification accuracy of various classifiers (control vs. disease). The mean value of the segmentation F-score for all the data was above 0.80 throughout the tested threshold levels for all projection methods, namely maximum intensity, standard deviation, and standard deviation with linear scaling projection. Although the classification accuracy reached up to 90.14%, interestingly, we observed that achieving better scores in segmentation results did not necessarily correspond to an increase in classification performance. Our method takes the advantage of the multi-level thresholding and of a classification procedure based on the feature images, thus it does not have to rely on hand-crafted training parameters of each event. It thus provides a semi-autonomous tool for assessing segmentation parameters which allows for the best classification accuracy. [ABSTRACT FROM AUTHOR]

Background: Carrying the apolipoprotein E ε4 (APOE4) allele is the highest known genetic risk factor for late‐onset Alzheimer's disease (LOAD). Although how APOE4 leads to LOAD is not known, dysregulated endo‐lysosomal trafficking and lipid metabolism are key defects associated with APOE4. Cholesterol accumulation in glia instigates intracellular trafficking defects, increases cellular stress, and disrupts secretion. Additionally, enlarged endosomes were observed in the frontal lobes of APOE4‐carrying individuals, decades before the appearance of Aβ fibrilization. Therefore, we asked if cholesterol and endo‐lysosomal trafficking dysregulation in APOE4 carriers were due to differential lipidation of APOE3 and APOE4. Method: Localization of ATP Binding Cassette Subfamily A Member 1 (ABCA1) in early, late, and recycling endosomal compartments were analyzed in human isogenic induced pluripotent stem cell (iPSC)‐derived neural cells and in cell lines treated with recombinant APOE in microscopic images. Membrane and cytoplasmic ABCA1 were compared using Western blots. Secreted high‐density lipoprotein (HDL) particles containing fluorescently tagged APOE3 or APOE4 were analyzed using ion‐mobility spectrometry. CS‐6253, an ABCA1 agonist peptide, was used to increase APOE lipidation. Result: The protein levels of ABCA1, which mediates cholesterol and phospholipid efflux to the nascent apolipoprotein particles, were lower in APOE4/4 iPSC‐derived astrocytes compared to astrocytes derived from isogenic APOE3/3 iPSCs. Advanced image analysis revealed lower ABCA1 protein levels in Rab11+ recycling endosomes and less colocalization between ABCA1 and Rab7, a late endosome marker, in APOE4/4 astrocytes than APOE3/3 astrocytes. Consequently, less ABCA1 was detected at the cell membrane. Combined with previous data, these findings suggest APOE4 lipidation was reduced due to reduced ABCA1 activity. Additionally, BHK cells treated with recombinant APOE3 or APOE4 showed differences in ABCA1 localization that were altered by increasing APOE lipidation by activating ABCA1 via CS‐6253. Finally, fluorescently tagged APOE3 and APOE4 were incorporated in HDL particles and were secreted whose sizes were altered after CS‐6253 treatment, suggesting differences in lipidation levels. Conclusion: We demonstrated that diminished APOE4 lipidation is, at least in part, due to dysregulation of endo‐lysosomal trafficking of ABCA1 and that increasing APOE4 lipidation could alleviate cellular defects. [ABSTRACT FROM AUTHOR]

Background: Apolipoprotein E4 (ApoE4) dysregulates cholesterol metabolism in the brain promoting the accumulation of lipid droplets, synaptic dysfunction and associates with a greater Alzheimer's disease risk. We previously demonstrated that ApoE4 reduces the function of ATP‐binding cassette transporters A1 (ABCA1) which has important roles in cholesterol transport. The mechanisms of how ApoE4 induces less ABCA1 activity are poorly understood. Method: ABCA1 binding proteins were analyzed with mass spectrum after immunoprecipitation. Immortalized astrocytes, primary astrocytes, mouse brain and human postmortem brain samples were used to test the association of ABCA1 and caveolin‐1 levels. Small interfere RNA was used to knockdown caveolin‐1 expression and 3H labelled cholesterol was used to test the cholesterol efflux of ABCA1. Result: Here, we enriched ABCA1 binding protein complexes from ABCA1‐overexpressing cells treated with recombinant ApoE3 or ApoE4 proteins for a proteomic screen implicating endocytosis as a major pathway differentiating ApoE3 from ApoE4. Among the protein targets discovered, caveolin‐1 expression increased after ApoE4 treatment. Caveolin‐1 and ABCA1 interactions were confirmed using immunoprecipitation experiments. Cholesterol accumulation in astrocytes induced caveolin‐1 expression and promoted ABCA1 degradation. Greater caveolin‐1 and lower ABCA1 expression was observed in brains of 8, 18 and 22 months‐old ApoE4‐TR mice compared with the corresponding ApoE3‐TR mice. Isolation of single cell types from adult mouse ApoE‐TR brains confirmed lower ABCA1 and greater caveolin‐1 expression was largely driven by astrocytes and not microglia or neurons enriched fractions. Conclusion: In conclusion, cholesterol accumulation induced by ApoE4 promotes ABCA1 degradation in astrocytes partly through a caveolin‐1 dependent endocytosis pathway. [ABSTRACT FROM AUTHOR]

Disorders that disrupt myelin formation during development or in adulthood, such as multiple sclerosis and peripheral neuropathies, lead to severe pathologies, illustrating myelin's crucial role in normal neural functioning. However, although our understanding of glial biology is increasing, the signals that emanate from axons and regulate myelination remain largely unknown. To identify the core components of the myelination process, here we adopted a microarray analysis approach combined with laser-capture microdissection of spinal motoneurons during the myelinogenic phase of development. We identified neuronal genes whose expression was enriched during myelination and further investigated hepatoma-derived growth factorrelated protein 3 (HRP3 or HDGFRP3). HRP3 was strongly expressed in the white matter fiber tracts of the peripheral (PNS) and central (CNS) nervous systems during myelination and remyelination in a cuprizone-induced demyelination model. The dynamic localization of HPR3 between axons and nuclei duringmyelination was consistent with its axonal localization during neuritogenesis. To study this phenomenon, we identified two splice variants encoded by the HRP3 gene: the canonical isoform HRP3-I and a newly recognized isoform, HRP3-II. HRP3-I remained solely in the nucleus, whereas HRP3-II displayed distinct axonal localization both before and during myelination. Interestingly, HRP3-II remained in the nuclei of unmyelinated neurons and glial cells, suggesting the existence of a molecular machinery that transfers it to and retains it in the axons of neurons fated for myelination. Overexpression of HRP3-II, but not of HRP3-I, increased Schwann cell numbers and myelination in PNS neuron-glia co-cultures. However, HRP3-II overexpression in CNS co-cultures did not altermyelination. [ABSTRACT FROM AUTHOR]

Objective: Myelin is essential for a healthy nervous system. Myelin formed by oligodendrocytes, accelerates impulse propagation and supports neuronal survival. Demyelination leads to neurodegeneration. In multiple sclerosis (MS) immune attack results in demyelination. Our goal is to dissect interactions among oligodendrocytes, neurons, and immune cells to improve our understanding of myelination and the demyelinating diseases. We aim to discover new targets for remyelination therapies. Methods: We are building tools for analyzing protein-protein and cell-to-cell interactions. To identify genes involved in myelination and MS, we developed a bioinformatics-based strategy, interactome analysis, which combines proteome and gene expression methodologies. Identified genes are evaluated in peripheral blood of MS patients and in mouse models. To accelerate drug discovery, 23 machine learning-based methodologies were assessed for myelin identification in fluorescent microscopy images. Results: Interactome analysis identified hundreds of proteinprotein interactions between pairs of oligodendrocytes, neurons, macrophages, microglia, and T cells. Most significant interactions are further analyzed in vivo and in vitro. Our customizedconvolutional neural network and Boosted Tree methods segmented myelin at over 98% accuracy. Identified myelin can be quantified and visualized in 3D. Conclusion: The interactome analysis yielded novel genes that are likely to be linked to MS. Machine learning-based methodologies are very effective in accelerating myelin quantification and thus, drug screens against demyelinating diseases such as MS. Overall, our innovative analysis strategies employing computer assistance produced novel avenues of exploration for myelination and demyelinating diseases. This study was supported TUBITAK (218S495,316S026), Istanbul Medipol University (BAP2018/06), and Turkish Academy of Sciences (GEBIP). [ABSTRACT FROM AUTHOR]

Objective: Function of the myelin membrane is to accelerate impulse propagation and support metabolism and health of an axon that may extend a long distance off the neuronal body. In the central nervous system specialized glia cells -oligodendrocyteswrap the axons. An oligodendrocyte has to generate a striking amount of membrane as it can wrap up to 30-40 internodes, which are myelinated regions between nodes of Ranvier. During the expansion of the oligodendrocyte membrane towards the nodes of Ranvier large amounts of lipid and protein are trafficked to the cell membrane. Thus, defects in the cellular vesicular transport may result in myelin disorders such as "Pelizaeus-Merzbacher" disease (PMD). Cellular transport and the resulting membrane expansion processes were studied in detail at the ultrastructural level mainly by immunocytochemistry and electron microscopy, yet their dynamics are poorly understood during myelination. In order to fill the gap in our understanding, we aim to monitor lipid and protein transport to the cellular membrane in real-time. Methods: Using oligodendrocytes derived from stem cells, the cargo vesicles, lipids and lipid rafts in oligodendrocytes were monitored in real-time during myelin formation using fluorescent dyes and fluorescent proteins. Monitored oligodendrocytes were categorized according to their maturation status. Results: Our early results revealed that membrane lipids and cargo vesicles carrying different proteins followed different transportation patterns and integrated to the membrane at different locations. Conclusion: Higher temporal and spatial resolution observations are needed to reach a more detailed description of molecular physiology of myelination. Increased knowledge on myelination will not only result in a better understanding of the basic biology of the oligodendrocytes but will also improve our understanding of the myelination disorders such as PMD. [ABSTRACT FROM AUTHOR]

The plasticity of macrophages in the immune response is a dynamic situation dependent on external stimuli. The activation of macrophages both has beneficial and detrimental effects on mature oligodendrocytes (OLs) and myelin. The activation towards inflammatory macrophages has a critical role in the immune-mediated oligodendrocytes death in multiple sclerosis (MS) lesions. We established an in vitro co-culture method to study the function of macrophages in the survival and maturation of OLs. We revealed that M1 macrophages decreased the number of mature OLs and phagocytosed the myelin. Interestingly, non-activated as well as M2 macrophages contributed to an increase in the number of mature OLs in our in vitro co-culture platform. We added an antibody against an OL surface antigen in our in vitro co-cultures. The antibody presents the OLs to the macrophages enabling the investigation of direct interactions between macrophages and OLs. Our co-culture system is a feasible method for the investigation of the direct cell-to-cell interactions between OLs and macrophages. We utilized it to show that M2 and non-activated macrophages may be employed to enhance remyelination. [Display omitted] • A new in vitro co-culture method to study demyelination and remyelination. • Peritoneal M1 macrophages increased the death of mature oligodendrocytes. • Peritoneal non-activated macrophages increased the number of mature oligodendrocytes. • Non-activated macrophages can be targeted for therapeutic purposes. [ABSTRACT FROM AUTHOR]