Alzheimer's disease and metals: a review of the involvement of cellular membrane receptors in metallosignalling

Macroscale Gradient Dysfunction in Alzheimer's Disease: Patterns With Cognition Terms and Gene Expression Profiles

Macroscale functional gradient techniques provide a continuous coordinate system that extends from unimodal regions to transmodal higher-order networks. However, the alterations of these functional gradients in AD and their correlations with cognitive terms and gene expression profiles remain to be established. In the present study, we directly studied the functional gradients with functional MRI data from seven scanners. We adopted data-driven meta-analytic techniques to unveil AD-associated changes in the functional gradients. The principal primary-to-transmodal gradient was suppressed in AD. Compared to NCs, AD patients exhibited global connectome gradient alterations, including reduced gradient range and gradient variation, increased gradient scores in the somatomotor, ventral attention, and frontoparietal regions, and decreased in the default mode network. More importantly, the Gene Ontology terms of biological processes were significantly enriched in the potassium ion transport and protein-containing complex remodeling. Our compelling evidence provides a new perspective in understanding the connectome alterations in AD.

Crystal structure of three chloridocuprate(I, II) complexes with methylene blue (MB) counterions

Three chloridocuprate complexes with methylene blue counterions of the chemical compositions [MB]+ 2[CuCl4]2− · H2O (1), [MB]+ 2[CuCl4]2− (2) and [(MB)+(CuCl2)−]3 (3) (where [MB]+ – methylthioninium cation; methylene blue cation) have been prepared by solvent-assisted mechanochemical synthesis. The reactions were carried out by mixing the copper(II) chloride dihydrate, CuCl2⋅2H2O, and methylene blue pentahydrate, [MB]+Cl− · 5H2O by grinding in an agate mortar with the addition of DMF as a solvent. The crystal structures of the compounds have been determined by single-crystal X-ray diffraction. The content of an asymmetric unit of the crystals consists of: (1) a tetrahedral [CuCl4]2− anion, two [MB]+ cations and one water molecule of crystallization; (2) a tetrahedral [CuCl4]2− anion and two [MB]+ cations; (3) trimeric [(MB)+(CuCl2)−]3 molecules with the Cu atoms coordinated by a nitrogen atom of the phenothiazine ring and two chlorine ions in a trigonal planar geometry with the copper atom in the oxidation state of +1.

Volumetric Semantic Instance Segmentation of the Plasma Membrane of HeLa Cells

In this work, an unsupervised volumetric semantic instance segmentation of the plasma membrane of HeLa cells as observed with serial block face scanning electron microscopy is described. The resin background of the images was segmented at different slices of a 3D stack of 518 slices with 8192 × 8192 pixels each. The background was used to create a distance map, which helped identify and rank the cells by their size at each slice. The centroids of the cells detected at different slices were linked to identify them as a single cell that spanned a number of slices. A subset of these cells, i.e., the largest ones and those not close to the edges were selected for further processing. The selected cells were then automatically cropped to smaller regions of interest of 2000 × 2000 × 300 voxels that were treated as cell instances. Then, for each of these volumes, the nucleus was segmented, and the cell was separated from any neighbouring cells through a series of traditional image processing steps that followed the plasma membrane. The segmentation process was repeated for all the regions of interest previously selected. For one cell for which the ground truth was available, the algorithm provided excellent results in Accuracy (AC) and the Jaccard similarity Index (JI): nucleus: JI =0.9665, AC =0.9975, cell including nucleus JI =0.8711, AC =0.9655, cell excluding nucleus JI =0.8094, AC =0.9629. A limitation of the algorithm for the plasma membrane segmentation was the presence of background. In samples with tightly packed cells, this may not be available. When tested for these conditions, the segmentation of the nuclear envelope was still possible. All the code and data were released openly through GitHub, Zenodo and EMPIAR.

Dietary high cholesterol and trace metals in the drinking water increase levels of ABCA1 in the rabbit hippocampus and temporal cortex

BACKGROUND

Cholesterol-fed rabbits have been documented to show increased amyloid-β (Aβ) deposits in the brain that can be exacerbated by the quality of drinking water especially if rabbits drink tap water or distilled water containing copper. One mechanism of cholesterol and Aβ clearance may be through the ATP-binding cassette transporter A1 (ABCA1).

OBJECTIVE AND METHODS

Using an ABCA1 antibody, we determined the number of ABCA1-immunopositive neurons in three areas of rabbit brain as a function of feeding 2% cholesterol and providing tap water, distilled water, or distilled water to which aluminum, copper, or zinc was added.

RESULTS

The number of neurons with ABCA1 immunoreactivity was increased significantly as a result of dietary cholesterol in the rabbit hippocampus and inferior and superior temporal cortex. The number of neurons with ABCA1 immunoreactivity was further increased in all three areas as a result of cholesterol-fed rabbits drinking tap water or distilled water with copper. Finally, cholesterol-fed rabbits that drank distilled water with aluminum also showed an increased number of ABCA1-immunopositive neurons in inferior and superior temporal cortex.

CONCLUSIONS

These data suggest that ABCA1 levels increase in parallel with previously documented increases in Aβ levels as a result of high dietary cholesterol and copper in the drinking water. Addition of aluminum to distilled water may have a similar effect in the temporal cortex. ABCA1 has been proposed as a means of clearing Aβ from the brain and manipulations that increase Aβ also result in an increase of clearance machinery.

Memory restorative ability of clioquinol in copper-cholesterol-induced experimental dementia in mice

CONTEXT

Results from various studies indicate that the presence of certain heavy metals such as aluminum (Al), arsenic (As), copper (Cu), lead (Pb), and mercury (Hg) may enhance the aggregation of Aβ and oxidative stress levels leading to neuronal toxicity and Alzheimer's disease (AD). Studies also reveal that anomalous brain copper-cholesterol (Cu-Ch) homeostasis may lead to memory deficits in Swiss albino mice.

OBJECTIVE

The present study investigates the anti-amnesic potential of clioquinol (5-chloro-7-iodoquinolin-8-ol) in cognitive deficits associated with experimental dementia induced by Cu-Ch.

MATERIALS AND METHODS

Administration of Cu-Ch {0.21 mg/kg, per os - 2% w/v, per os for 8 weeks} was used to induce dementia in Swiss albino mice. The Morris water maze (MWM) test was performed to assess the effect on learning and memory. A battery of biochemical estimations was performed following the MWM test such as brain-reduced glutathione (GSH), superoxide dismutase (SOD), thiobarbituric acid reactive species (TBARS), acetylcholinestrase (AChE) activity, and serum cholesterol levels.

RESULTS

Administration of Cu-Ch produced a marked decline in MWM performance measured during the acquisition (78.9 ± 3.3) and retrieval trials (9.5 ± 2.4), reflecting impairment of learning and memory. Cu-Ch-treated mice also exhibited a marked accentuation of AChE activity (5.8 ± 0.55) and TBARS levels (9.74 ± 1.9) along with a decline in the GSH level (15.4 ± 3.3) and the SOD level (26 ± 2.5) when compared with the untreated control group. Administration of clioquinol significantly attenuated Cu-Ch-induced memory deficits and biochemical alterations.

DISCUSSION AND CONCLUSION

The findings demonstrate memory restorative ability of clioquinol which may be attributed to its anti-cholinesterase, antioxidative, and cholesterol-lowering potential.

Role of copper and cholesterol association in the neurodegenerative process

Age is one of the main factors involved in the development of neurological illnesses, in particular, Alzheimer, and it is widely held that the rapid aging of the world population is accompanied by a rise in the prevalence and incidence of Alzheimer disease. However, evidence from recent decades indicates that Cu and Cho overload are emerging causative factors in neurodegeneration, a hypothesis that has been partially investigated in experimental models. The link between these two variables and the onset of Alzheimer disease has opened up interesting new possibilities requiring more in-depth analysis. The aim of the present study was therefore to investigate the effect of the association of Cu + Cho (CuCho) as a possible synergistic factor in the development of an Alzheimer-like pathology in Wistar rats. We measured total- and nonceruloplasmin-bound Cu and Cho (free and sterified) contents in plasma and brain zones (cortex and hippocampus), markers of oxidative stress damage, inflammation, and programmed cell death (caspase-3 and calpain isoforms). The ratio beta-amyloid (1-42)/(1-40) was determined in plasma and brain as neurodegenerative biomarker. An evaluation of visuospatial memory (Barnes maze test) was also performed. The results demonstrate the establishment of a prooxidative and proinflammatory environment after CuCho treatment, hallmarked by increased TBARS, protein carbonyls, and nitrite plus nitrate levels in plasma and brain zones (cortex and hippocampus) with a consequent increase in the activity of calpains and no significant changes in caspase-3. A simultaneous increase in the plasma Aβ1-42/Aβ1-40 ratio was found. Furthermore, a slight but noticeable change in visuospatial memory was observed in rats treated with CuCho. We conclude that our model could reflect an initial stage of neurodegeneration in which Cu and Cho interact with one another to exacerbate neurological damage.

Central role of the EGF receptor in neurometabolic aging

A strong connection between neuronal and metabolic health has been revealed in recent years. It appears that both normal and pathophysiological aging, as well as neurodegenerative disorders, are all profoundly influenced by this "neurometabolic" interface, that is, communication between the brain and metabolic organs. An important aspect of this "neurometabolic" axis that needs to be investigated involves an elucidation of molecular factors that knit these two functional signaling domains, neuronal and metabolic, together. This paper attempts to identify and discuss a potential keystone signaling factor in this "neurometabolic" axis, that is, the epidermal growth factor receptor (EGFR). The EGFR has been previously demonstrated to act as a signaling nexus for many ligand signaling modalities and cellular stressors, for example, radiation and oxidative radicals, linked to aging and degeneration. The EGFR is expressed in a wide variety of cells/tissues that pertain to the coordinated regulation of neurometabolic activity. EGFR signaling has been highlighted directly or indirectly in a spectrum of neurometabolic conditions, for example, metabolic syndrome, diabetes, Alzheimer's disease, cancer, and cardiorespiratory function. Understanding the positioning of the EGFR within the neurometabolic domain will enhance our appreciation of the ability of this receptor system to underpin highly complex physiological paradigms such as aging and neurodegeneration.