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Feidler, A.

Publications and source records attributed to Feidler, A..

3 recordsLinked to original sources

Noradrenergic signaling controls Alzheimer's disease pathology via activation of microglial β2 adrenergic receptors

In Alzheimers disease (AD) pathophysiology, plaque and tangle accumulation trigger an inflammatory response that mounts positive feed-back loops between inflammation and protein aggregation, aggravating neurite damage and neuronal death. One of the earliest brain regions to undergo neurodegeneration is the locus coeruleus (LC), the predominant site of norepinephrine (NE) production in the central nervous system (CNS). In animal models of AD, dampening the impact of noradrenergic signaling pathways, either through administration of beta blockers or pharmacological ablation of the LC, heightened neuroinflammation through increased levels of pro-inflammatory mediators. Since microglia are the resident immune cells of the CNS, it is reasonable to postulate that they are responsible for translating the loss of NE tone into exacerbated disease pathology. Recent findings from our lab demonstrated that noradrenergic signaling inhibits microglia dynamics via {beta}2 adrenergic receptors ({beta}2ARs), suggesting a potential anti-inflammatory role for microglial {beta}2AR signaling. Thus, we hypothesize that microglial {beta}2 adrenergic signaling is progressively impaired during AD progression, which leads to the chronic immune vigilant state of microglia that worsens disease pathology. First, we characterized changes in microglial {beta}2AR signaling as a function of amyloid pathology. We found that LC neurons and their projections degenerate early and progressively in the 5xFAD mouse model of AD; accompanied by mild decrease in the levels of norepinephrine and its metabolite normetanephrine. Interestingly, while 5xFAD microglia, especially plaque-associated microglia, significant downregulated {beta}2AR gene expression early in amyloid pathology, they did not lose their responsiveness to {beta}2AR stimulation. Most importantly, we demonstrated that specific microglial {beta}2AR deletion worsened disease pathology while chronic {beta}2AR stimulation resulted in attenuation of amyloid pathology and associated neuritic damage, suggesting microglial {beta}2AR might be used as potential therapeutic target to modify AD pathology.

neuroscience↗

A Model-Based Hierarchical Bayesian Approach to Sholl Analysis

SO_SCPLOWUMMARYC_SCPLOWDue to the link between microglial morphology and function, morphological changes in microglia are frequently used to identify pathological immune responses in the central nervous system. In the absence of pathology, microglia are responsible for maintaining homeostasis, and their morphology can be indicative of how the healthy brain behaves in the presence of external stimuli and genetic differences. Despite recent interest in high throughput methods for morphological analysis, Sholl analysis is still the gold standard for quantifying microglia morphology via imaging data. Often, the raw data are naturally hierarchical, minimally including many cells per image and many images per animal. However, existing methods for performing downstream inference on Sholl data rely on truncating this hierarchy so rudimentary statistical testing procedures can be used. To fill this longstanding gap, we introduce a fully parametric model-based approach for analyzing Sholl data. We generalize our model to a hierarchical Bayesian framework so that inference can be performed without aggressive reduction of otherwise very rich data. We apply our model to three real data examples and perform simulation studies comparing the proposed method with a popular alternative.

neuroscience↗

Rhythmic expression of Neurofibromin 1 in mushroom body neurons mediates circadian wake drive through activating cAMP-PKA signaling

Various behavioral and cognitive states exhibit circadian variations in animals across phyla including Drosophila, in which only [~]0.1% of the entire brain neurons contain circadian clocks. This suggests that clock neurons communicate with a plethora of non-clock neurons to transmit the timing information to gate various behavioral outputs in Drosophila. Here, we address the molecular underpinning of this phenomenon by performing circadian RNA-seq analysis of non-clock neurons that constitute the mushroom body (MB), the center of information processing and sleep regulation. We identify hundreds of genes rhythmically expressed in the MB, including the Drosophila ortholog of Neurofibromin 1 (Nf1), the gene responsible for neurofibromatosis type 1 (NF1). Rhythmic expression of Nf1 promotes daytime wakefulness by activating cAMP-PKA signaling and increasing excitability of the MB. These findings reveal the pervasive, non-cell-autonomous circadian regulation of gene expression in the brain and its role in sleep, with implications in the pathology of NF1.

neuroscience↗