Cu(II) disrupts autophagy-mediated lysosomal degradation of oligomeric Aß in microglia via mTOR-TFEB pathway.

Copper dyshomeostasis is involved in the pathogenesis of Alzheimer's disease (AD). Microglia play a major role in the proteolytic clearance of oligomeric ß-amyloid (Aßo). Here, we investigated whether Cu(II) affects microglial Aßo clearance and whether this effect involves autophagy-lysosomal pathway. Microtubule associated protein 1 light chain 3 (LC3)-II and p62 protein levels and autophagic flux in Cu(II)-treated microglia were detected. Aßo clearance was detected by enzyme-linked immunosorbent assay (ELISA) and immunofluorescence. In vivo, Cu(II) and Aßo were injected into mouse hippocampus to evaluate Aß clearance. The results showed that Cu(II) inhibited phagocytic uptake and intracellular degradation of Aßo in microglial cultures. Additionally, Cu(II) elevated LC3-II and p62 protein levels and impaired autophagic flux. It also inhibited transcription factor EB (TFEB) expression and lysosomal biogenesis. Moreover, Cu(II) activated mammalian target of rapamycin kinase (mTOR), an upstream signaling of TFEB. The mTOR inhibitor PP242 ameliorated Cu(II)-impaired TFEB expression, lysosomal biogenesis, autophagic flux, and Aßo clearance in microglia. In vivo, Cu(II) inhibited microglial Aßo clearance in mouse hippocampus, an effect accompanied with activation of mTOR and impairment of TFEB expression and lysosomal biogenesis. Collectively, our results suggest that Cu(II) reduces microglial Aßo clearance through disrupting lysosomal biogenesis and autophagic flux. This effect could involve modulation of mTOR-TFEB axis and was prevented by pharmacological antagonism of mTOR. This study reveals a novel mechanism for Cu(II) involvement in AD. Our results implicate that rescue of Cu(II)-impaired autophagy-mediated lysosomal degradation may provide a new strategy to benefit multiple neurodegenerative disorders.

Natural Xanthone α-Mangostin Inhibits LPS-Induced Microglial Inflammatory Responses and Memory Impairment by Blocking the TAK1/NF-κB Signaling Pathway.

SCOPE: The effect of α-mangostin (α-M), a polyphenolic xanthone isolated from mangostin, on lipopolysaccharide (LPS)-induced microglial activation and memory impairment is explored. The possible underlying mechanisms are also investigated. METHODS AND RESULTS: Cytokine production and activation of transforming growth factor activated kinase-1 (TAK1) and nuclear factor-κB (NF-κB) are detected by enzyme-linked immunosorbent assay (ELISA) or Western blot. Microglial migration and phagocytosis are evaluated with scratch wound-healing assay and phagocytosis of fluorescent latex beads, respectively. Learning and memory abilities of mice are evaluated with the Morris water maze test. The nanomolar (100-500 nm) α-M suppresses LPS-induced pro-inflammatory cytokine production and inducible nitric oxide synthase (iNOS) expression in microglia. It also inhibits LPS-induced microglial migration and phagocytosis. α-M rescues LPS-caused, microglia-mediated neuronal dendritic damage. Moreover, α-M represses LPS-induced toll-like receptor 4 (TLR4) expression and activation of TAK1 and NF-κB. In a mouse neuroinflammation model, α-M (50 mg kg-1 day-1 ) shows obvious anti-neuroinflammatory, neuroprotective, and memory-improving effects in vivo. CONCLUSION: α-M inhibits microglia-mediated neuroinflammation and prevents neurotoxicity and memory impairment from inflammatory damage. These results indicate that α-M has great potential to be used as a nutritional preventive strategy for neuroinflammation-related neurodegenerative disorders such as Alzheimer's disease.

A multifunctional bis-(-)-nor-meptazinol-oxalamide hybrid with metal-chelating property ameliorates Cu(II)-induced spatial learning and memory deficits via preventing neuroinflammation and oxido-nitrosative stress in mice.

Excess copper exposure is a risk factor of neurodegeneration related to Alzheimer's disease (AD). Evidence indicates that, besides promoting amyloid ß aggregation, activation of neuroinflammation and oxido-nitrosative stress (two key pathophysiological processes of AD) may also play important roles in Cu(II)-induced neuronal injury. Therefore, the copper-chelating strategy has gained attention in search for new anti-AD drugs. We previously reported a novel multifunctional compound N1,N2-bis(3-(S)-meptazinol-propyl) oxalamide (ZLA), a bis-(-)-nor-meptazinol-oxalamide hybrid with properties of dual binding site acetylcholinesterase (AChE) inhibition and Cu(II)/Zn(II) chelation. The present study was aimed to explore its effect on cognitive deficits caused by intrahippocampal injection of Cu(II) in mice. Results showed that ZLA (2, 5 mg/kg; i.p.) treatment significantly ameliorated the Cu(II)-induced impairment of hippocampus-dependent learning and memory, whereas rivastigmine, an AChE inhibitor showing a similar potency of enzyme inhibition to ZLA, had no obvious effect. Immunohistochemical and Western blot analyses revealed that ZLA attenuated the decrease in hippocampal expression of microtubule-associated protein 2 (MAP2, a dendritic marker) in Cu(II)-challenged mice. Further analysis showed that ZLA suppressed the Cu(II)-evoked microglial activation. Moreover, it inhibited the Cu(II)-evoked production of pro-inflammatory cytokines such as tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and IL-1ß and expression of inducible nitric oxide synthase in the hippocampus. The Cu(II)-induced oxidative and nitrosative stress in the hippocampus was also attenuated after ZLA treatment. Collectively, these results suggest that ZLA ameliorates the Cu(II)-caused cognitive deficits. Inhibition of neuroinflammation and oxido-nitrosative stress, and thus ameliorating neuronal injury, may be the potential mechanism for the anti-amnesic effect of ZLA.

Subspace-based resolution-enhancing image reconstruction method for few-view differential phase-contrast tomography.

It is well known that properly designed image reconstruction methods can facilitate reductions in imaging doses and data-acquisition times in tomographic imaging. The ability to do so is particularly important for emerging modalities, such as differential x-ray phase-contrast tomography (D-XPCT), which are currently limited by these factors. An important application of D-XPCT is high-resolution imaging of biomedical samples. However, reconstructing high-resolution images from few-view tomographic measurements remains a challenging task due to the high-frequency information loss caused by data incompleteness. In this work, a subspace-based reconstruction strategy is proposed and investigated for use in few-view D-XPCT image reconstruction. By adopting a two-step approach, the proposed method can simultaneously recover high-frequency details within a certain region of interest while suppressing noise and/or artifacts globally. The proposed method is investigated by the use of few-view experimental data acquired by an edge-illumination D-XPCT scanner.

Single-shot edge illumination x-ray phase-contrast tomography enabled by joint image reconstruction.

Edge illumination x-ray phase-contrast tomography (EIXPCT) is an emerging x-ray phase-contrast tomography technique for reconstructing the complex-valued x-ray refractive index distribution of an object. Conventional image reconstruction approaches for EIXPCT require multiple images to be acquired at each tomographic view angle. This contributes to prolonged data-acquisition times and elevated radiation doses, which can hinder in vivo applications. In this work, a new "single-shot" method is proposed for joint reconstruction (JR) of the real and imaginary-valued components of the refractive index distribution from a tomographic data set that contains only a single image acquired at each view angle. The proposed method is predicated on a nonlinear formulation of the inverse problem that is solved by using a gradient-based optimization method. The method is validated and investigated using computer-simulated and experimental EIXPCT data sets.

Imaging of Hydrogel Microsphere Structure and Foreign Body Response Based on Endogenous X-Ray Phase Contrast.

Transplantation of functional islets encapsulated in stable biomaterials has the potential to cure Type I diabetes. However, the success of these materials requires the ability to quantitatively evaluate their stability. Imaging techniques that enable monitoring of biomaterial performance are critical to further development in the field. X-ray phase-contrast (XPC) imaging is an emerging class of X-ray techniques that have shown significant promise for imaging biomaterial and soft tissue structures. In this study, XPC imaging techniques are shown to enable three dimensional (3D) imaging and evaluation of islet volume, alginate hydrogel structure, and local soft tissue features ex vivo. Rat islets were encapsulated in sterile ultrapurified alginate systems produced using a high-throughput microfluidic system. The encapsulated islets were implanted in omentum pouches created in a rodent model of type 1 diabetes. Microbeads were imaged with XPC imaging before implantation and as whole tissue samples after explantation from the animals. XPC microcomputed tomography (µCT) was performed with systems using tube-based and synchrotron X-ray sources. Islets could be identified within alginate beads and the islet volume was quantified in the synchrotron-based µCT volumes. Omental adipose tissue could be distinguished from inflammatory regions resulting from implanted beads in harvested samples with both XPC imaging techniques. Individual beads and the local encapsulation response were observed and quantified using quantitative measurements, which showed good agreement with histology. The 3D structure of the microbeads could be characterized with XPC imaging and failed beads could also be identified. These results point to the substantial potential of XPC imaging as a tool for imaging biomaterials in small animal models and deliver a critical step toward in vivo imaging.

Boundary-enhancement in propagation-based x-ray phase-contrast tomosynthesis improves depth position characterization.

Propagation-based x-ray phase-contrast (PB XPC) tomosynthesis combines the concepts of tomosynthesis and XPC imaging to realize the advantages of both for biological imaging applications. Tomosynthesis permits reductions in acquisition times compared with full-view tomography, while XPC imaging provides the opportunity to resolve weakly absorbing structures. In this note, an investigation of the depth resolving properties of PB XPC tomosynthesis is conducted. The results demonstrate that in-plane structures display strong boundary-enhancement while out-of-plane structures do not. This effect can facilitate the identification of in-plane structures in PB XPC tomosynthesis that could normally not be distinguished from out-of-plane structures in absorption-based tomosynthesis.

X-ray phase contrast imaging of calcified tissue and biomaterial structure in bioreactor engineered tissues.

Tissues engineered in bioreactor systems have been used clinically to replace damaged tissues and organs. In addition, these systems are under continued development for many tissue engineering applications. The ability to quantitatively assess material structure and tissue formation is critical for evaluating bioreactor efficacy and for preimplantation assessment of tissue quality. Techniques that allow for the nondestructive and longitudinal monitoring of large engineered tissues within the bioreactor systems will be essential for the translation of these strategies to viable clinical therapies. X-ray Phase Contrast (XPC) imaging techniques have shown tremendous promise for a number of biomedical applications owing to their ability to provide image contrast based on multiple X-ray properties, including absorption, refraction, and scatter. In this research, mesenchymal stem cell-seeded alginate hydrogels were prepared and cultured under osteogenic conditions in a perfusion bioreactor. The constructs were imaged at various time points using XPC microcomputed tomography (µCT). Imaging was performed with systems using both synchrotron- and tube-based X-ray sources. XPC µCT allowed for simultaneous three-dimensional (3D) quantification of hydrogel size and mineralization, as well as spatial information on hydrogel structure and mineralization. Samples were processed for histological evaluation and XPC showed similar features to histology and quantitative analysis consistent with the histomorphometry. These results provide evidence of the significant potential of techniques based on XPC for noninvasive 3D imaging engineered tissues grown in bioreactors.