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New Targets and Approaches for the Treatment of Alzheimer's Disease and Related Disorders

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Neurobiology".

Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 17647

Special Issue Editors


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Guest Editor
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia
Interests: drug discovery; medicinal chemistry; molecular pharmacology; neurodegenerative diseases

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Guest Editor
Institute of Physiologically Active Compounds, Russian Academy of Sciences, 142432 Chernogolovka, Russia
Interests: drug discovery; medicinal chemistry; molecular pharmacology; neurodegenerative diseases
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia
Interests: Alzheimer's disease; beta-amyloid; cerebral amyloidosis and molecular mechanism of pathogenesis; drug discovery; medicinal chemistry; molecular pharmacology; neurodegenerative diseases

Special Issue Information

Dear Colleagues, 

The main goal of this Special Issue is to provide information on recent approaches in the development of efficient therapies and prevention measures for Alzheimer’s disease and related neurodegenerative diseases (such as dementia with Lewy bodies, Parkinsonism, ALS, frontotemporal dementia, etc.). Special attention will be paid to newly discovered biological structures involved in diseases pathogenesis as potential targets for pharmacological intervention, new biologically active compounds and therapeutic strategies, based on recent achievements in medicinal chemistry, molecular biology and biotechnology.

Dr. Alexander A. Makarov
Prof. Dr. Sergey O. Bachurin
Dr. Vladimir A. Mitkevich
Guest Editors

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Keywords

  • Alzheimer’s disease
  • dementia
  • ALS
  • Parkinsonism
  • neurodegeneration
  • neuroprotective agents
  • neuroactive peptides

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Published Papers (8 papers)

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15 pages, 2916 KiB  
Article
7,8-Dihydroxy Efavirenz Is Not as Effective in CYP46A1 Activation In Vivo as Efavirenz or Its 8,14-Dihydroxy Metabolite
by Natalia Mast, Yong Li and Irina A. Pikuleva
Int. J. Mol. Sci. 2024, 25(4), 2242; https://doi.org/10.3390/ijms25042242 - 13 Feb 2024
Viewed by 1213
Abstract
High dose (S)-efavirenz (EFV) inhibits the HIV reverse transcriptase enzyme and is used to lower HIV load. Low-dose EFV allosterically activates CYP46A1, the key enzyme for cholesterol elimination from the brain, and is investigated as a potential treatment for Alzheimer’s disease. Simultaneously, [...] Read more.
High dose (S)-efavirenz (EFV) inhibits the HIV reverse transcriptase enzyme and is used to lower HIV load. Low-dose EFV allosterically activates CYP46A1, the key enzyme for cholesterol elimination from the brain, and is investigated as a potential treatment for Alzheimer’s disease. Simultaneously, we evaluate EFV dihydroxymetabolites for in vivo brain effects to compare with those of (S)-EFV. We have already tested (rac)-8,14dihydroxy EFV on 5XFAD mice, a model of Alzheimer’s disease. Herein, we treated 5XFAD mice with (rac)-7,8dihydroxy EFV. In both sexes, the treatment modestly activated CYP46A1 in the brain and increased brain content of acetyl-CoA and acetylcholine. Male mice also showed a decrease in the brain levels of insoluble amyloid β40 peptides. However, the treatment had no effect on animal performance in different memory tasks. Thus, the overall brain effects of (rac)-7,8dihydroxy EFV were weaker than those of EFV and (rac)-8,14dihydroxy EFV and did not lead to cognitive improvements as were seen in treatments with EFV and (rac)-8,14dihydroxy EFV. An in vitro study assessing CYP46A1 activation in co-incubations with EFV and (rac)-7,8dihydroxy EFV or (rac)-8,14dihydroxy EFV was carried out and provided insight into the compound doses and ratios that could be used for in vivo co-treatments with EFV and its dihydroxymetabolite. Full article
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Figure 1

Figure 1
<p>7,8-DihydroxyEFV effect on performance of 5XFAD mice in (<b>A</b>), Barnes maze; (<b>B</b>), Y-maze; and (<b>C</b>), fear conditioning. Data represent the mean ± SEM of the individual measurements (22 control female mice, 12 control male mice, 27 treated female mice, and 13 treated male mice). Two-way repeated measures ANOVA with Bonferroni correction was used to determine if there were sex-based differences within each group. If no sex-based differences were found, then data for female and male mice within each group were combined, and a two-tailed unpaired Student’s <span class="html-italic">t</span>-test was used to assess statistical significance. ***, <span class="html-italic">p</span> ≤ 0.001. Trng, training.</p>
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<p>7,8-DihydroxyEFV effect on the Aβ content in the brain of 5XFAD mice. Data represent the mean ± SD of the individual measurements (12 female and 12 male animals per group). *, <span class="html-italic">p</span> ≤ 0.05; ***, <span class="html-italic">p</span> ≤ 0.001 as assessed by two-way ANOVA with Tukey’s multiple comparison test.</p>
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<p>7,8-DihydroxyEFV effect on sterol content and CYP46A1 expression in the brain of 5XFAD mice. (<b>A</b>) Sterol quantifications. Data represent the mean ± SD of the individual measurements (9 female and 9 male 5XFAD mice per group). Two-way repeated measures ANOVA with Bonferroni correction was used to determine if there were sex-based differences within each group. If no sex-based differences were found, then data for female and male mice within each group were combined, and a two-tailed unpaired Student’s <span class="html-italic">t</span>-test was used to assess statistical significance. Otherwise, data for female and male mice were presented separately. **, <span class="html-italic">p</span> ≤ 0.01; ***, <span class="html-italic">p</span> ≤ 0.001. (<b>B</b>) Representative Western blots (left panels) evaluating CYP46A1 expression in brain homogenates. Each lane, except that with purified recombinant CYP46A1 (used as a positive control), is a sample from an individual animal (five female and five male mice per group); the brain homogenate from a <span class="html-italic">Cyp46a1<sup>-/-</sup></span> mouse was used as a negative control. All Western blots were repeated at least three times. Protein expression quantification (right panels). Within a group, the protein expression in each sample was first normalized to the β-actin expression, and the mean value was calculated. This mean value was then normalized to the mean value of the protein expression in control 5XFAD mice (taken as one), and the data were presented as the mean ± SD. No statistically significant difference was found between control and treated groups of both sexes as assessed using a two-tailed, unpaired Student’s test.</p>
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<p>7,8-DihydroxyEFV effect on the acetyl-CoA levels in the brain of 5XFAD mice. Data represent the mean ± SD of the individual measurements (five female and five male mice per group). Two-way repeated measures ANOVA with Bonferroni correction was used to determine if there were sex-based differences within each group. If no sex-based differences were found, then data for female and male mice within each group were combined, and a two-tailed unpaired Student’s <span class="html-italic">t</span>-test was used to assess statistical significance. Otherwise, data for female and male mice were presented separately. ***, <span class="html-italic">p</span> ≤ 0.001.</p>
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<p>7,8-DihydroxyEFV effect on the Ach levels in the brain of 5XFAD mice. Data represent the mean ± SD of the individual measurements (five female and five male mice per group). ***, <span class="html-italic">p</span> ≤ 0.001 as assessed by two-way ANOVA with Tukey’s multiple comparison test.</p>
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<p>CYP46A1 activation in the in vitro co-incubations with <span class="html-italic">(S)</span>-EFV and a dihydroxy EFV metabolite. (<b>A</b>) <span class="html-italic">(S)</span>-EFV was used at a fixed (20 μM) concentration, and the concentration of a dihydroxyEFV metabolite varied from 0 to 100 μM. (<b>B</b>) Both <span class="html-italic">(S)</span>-EFV and a dihydroxy EFV metabolite were used at varied concentrations, increasing from 0 to 100 μM for <span class="html-italic">(S)</span>-EFV and decreasing from 100 to 0 μM for a dihydroxy EFV metabolite. CYP46A1 activity represents nanomoles of 24-hydoxycholesterol (24HC) per nanomole of CYP46A1 per min. The results are the mean ± SD of the three independent experiments.</p>
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17 pages, 3635 KiB  
Article
Molecular Mechanism of Zinc-Dependent Oligomerization of Alzheimer’s Amyloid-β with Taiwan (D7H) Mutation
by Olga I. Kechko, Alexei A. Adzhubei, Anna P. Tolstova, Maria I. Indeykina, Igor A. Popov, Sergey S. Zhokhov, Nikolay V. Gnuchev, Vladimir A. Mitkevich, Alexander A. Makarov and Sergey A. Kozin
Int. J. Mol. Sci. 2023, 24(14), 11241; https://doi.org/10.3390/ijms241411241 - 8 Jul 2023
Cited by 4 | Viewed by 1550
Abstract
Amyloid-β (Aβ) is a peptide formed by 39–43 amino acids, heterogenous by the length of its C-terminus. Aβ constitutes a subnanomolar monomeric component of human biological fluids; however, in sporadic variants of Alzheimer’s disease (AD), it forms soluble neurotoxic oligomers and accumulates as [...] Read more.
Amyloid-β (Aβ) is a peptide formed by 39–43 amino acids, heterogenous by the length of its C-terminus. Aβ constitutes a subnanomolar monomeric component of human biological fluids; however, in sporadic variants of Alzheimer’s disease (AD), it forms soluble neurotoxic oligomers and accumulates as insoluble extracellular polymeric aggregates (amyloid plaques) in the brain tissues. The plaque formation is controlled by zinc ions; therefore, abnormal interactions between the ions and Aβ seem to take part in the triggering of sporadic AD. The amyloid plaques contain various Aβ isoforms, among which the most common is Aβ with an isoaspartate in position 7 (isoD7). The spontaneous conversion of D7 to isoD7 is associated with Aβ aging. Aβ molecules with isoD7 (isoD7-Aβ) easily undergo zinc-dependent oligomerization, and upon administration to transgenic animals (mice, nematodes) used for AD modeling, act as zinc-dependent seeds of the pathological aggregation of Aβ. The formation of zinc-bound homo- and hetero-oligomers with the participation of isoD7-Aβ is based on the rigidly structured segment 11-EVHH-14, located in the Aβ metal binding domain (Aβ16). Some hereditary variants of AD are associated with familial mutations within the domain. Among these, the most susceptible to zinc-dependent oligomerization is Aβ with Taiwan (D7H) mutation (D7H-Aβ). In this study, the D7H-Aβ metal binding domain (D7H-Aβ16) has been used as a model to establish the molecular mechanism of zinc-induced D7H-Aβ oligomerization through turbidimetry, dynamic light scattering, isothermal titration calorimetry, mass spectrometry, and computer modelling. Additionally, the modeling data showed that a molecule of D7H-Aβ, as well as isoD7-Aβ in combination with two Aβ molecules, renders a stable zinc-induced heterotrimer. The trimers are held together by intermolecular interfaces via zinc ions, with the primary interfaces formed by 11-EVHH-14 sites of the interacting trimer subunits. In summary, the obtained results confirm the role of the 11-EVHH-14 region as a structure and function determinant for the zinc-dependent oligomerization of all known Aβ species (including various chemically modified isoforms and AD-associated mutants) and point at this region as a potent target for drugs aimed to stop amyloid plaque formation in both sporadic and hereditary variants of AD. Full article
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Figure 1

Figure 1
<p>Dependence of turbidity (optical density at 405 nm, OD<sub>405</sub>) of Aβ<sub>16</sub> (black triangles) and D7H-Aβ<sub>16</sub> (black squares) solutions (1 mM) on the incubation time after the addition of Zn<sup>2+</sup> (2.25 mM). Measurements were performed in 50 mM Tris buffer, pH 7.3. The means and standard deviations for three measurements are shown.</p>
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<p>The characteristic diameter (D) of Zn<sup>2+</sup>-induced Aβ soluble aggregates as a function of the Zn<sup>2+</sup>/peptide molar ratio. D values of Aβ<sub>16</sub> (black triangles) and D7H-Aβ<sub>16</sub> (black squares) soluble aggregates were measured after 10-min incubation with Zn<sup>2+</sup> in 50 mM Tris buffer, pH 7.3. Concentration of peptides was 50 µM. The means and standard deviations for three measurements are shown.</p>
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<p>ITC titration curve (upper panel) and the binding isotherm (lower panel) for Zn<sup>2+</sup> (5 mM) interaction with 0.3 mM D7H-Aβ<sub>16</sub> (<b>A</b>), E11A-D7H-Aβ<sub>16</sub> (<b>B</b>), H13A-D7H-Aβ<sub>16</sub> (<b>C</b>), H14A-D7H-Aβ<sub>16</sub> (<b>D</b>) at 25 °C in 50 mM Tris buffer, pH 7.3.</p>
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<p>(<b>A</b>) Mass-spectrum of complexes D7H-Aβ<sub>16</sub> with zinc ions (arrows indicate number of Zn<sup>2+</sup>: blue—0, green—1, red—2, black—3, violet—4, grey—5). Monomeric and dimeric complexes with different amounts of zinc adducts are observed. (<b>B</b>) Enlargement of a high-resolution FT ICR MS spectrum of the dimer complex cluster region. (<b>C</b>) The theoretical and measured isotopic distributions are in good agreement.</p>
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<p>Dissociation of the D7H-Aβ<sub>16</sub> peptide dimer with 4 zinc ions results in the formation of quasi-molecular monomer ions with different numbers of zinc ions (no peptide fragments are formed).</p>
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<p>Results of MS/MS analysis of monomer complexes D7H-Aβ<sub>16</sub> with different amounts of zinc adducts. Ions carrying no, one, two and three zinc ions are shown by solid light blue, solid green, red dashed and black dotted lines, respectively. The smallest internal fragments carrying one zinc ion are circled. The assumed zinc ion chelator candidates are shown in black.</p>
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<p>Tetramer constructed with D7H-Aβ<sub>16</sub> peptides with interlacing E11/H14:ZN:E11/H14 and E3/H6:ZN:E3/H6 interfaces between peptides. (<b>A</b>) the initial conformation after energy minimization. (<b>B</b>) The final conformation after 50 ns of MD. Residues Glu11 and His14 are colored with magenta. Residue Glu3 and His6 are colored with cyan.</p>
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<p>Tetramer constructed with D7H-Aβ<sub>16</sub> peptides with interlacing E11/H14:ZN:E11/H14 and H7/H13:ZN:H7/H13 interfaces between peptides. (<b>A</b>) the initial conformation after energy minimization. (<b>B</b>) The final conformation after 50 ns of MD. Residues Glu11 and His14 are colored with magenta. Residue His7 and His13 are colored with green.</p>
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<p>Octamer constructed with D7H-Aβ<sub>16</sub> peptides with interlacing E3/H6:ZN:E3/H6, E11/H14:ZN:E11/H14 and H7/H13:ZN:H7/H13 interfaces between peptides after 50 ns of MD. Residues Glu11 and His14 are colored with magenta. Residue His7 and His13 are colored with green. Residue Glu3 and His6 are colored with cyan.</p>
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<p>Dodecamer constructed with D7H-Aβ<sub>16</sub> peptides with interlacing E3/H6:ZN:E3/H6, E11/H14:ZN:E11/H14 and H7/H13:ZN:H7/H13 interfaces between peptides after 50 ns of MD. Residues Glu11 and His14 are colored with magenta. Residue His7 and His13 are colored with green. Residue Glu3 and His6 are colored with cyan. The system was built of three tetramers highlighted with pink for tetramers with the H7/H13:ZN:H7/H13 interface and yellow for tetramer with the E3/H6:ZN:E3/H6 interface. Interaction interfaces are highlighted with dotted squares for the internal interactions inside each tetramer and with solid line squares for interactions between tetramers. The potential seeds for polymerization are shown with arrows.</p>
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<p>Equilibrium conformations of the trimers formed by D7H-Aβ<sub>16</sub> (colored with green) with two standard Aβ<sub>16</sub> peptides (<b>A</b>,<b>B</b>) and isoD7-Aβ<sub>16</sub> (colored with cyan) with two standard Aβ<sub>16</sub> peptides (<b>C</b>,<b>D</b>) obtained after 100 ns of MD. (<b>A</b>) interaction interface between D7H-Aβ<sub>16</sub> and two standard Aβ<sub>16</sub> peptides bound via Zn ions. Zn ions are coordinated with Glu11 and His14 residues of the standard Aβ<sub>16</sub> peptides (colored with magenta) and with residues His7, His13 and Glu11, His14 of the D7H-Aβ<sub>16</sub> peptide. (<b>B</b>)—different view on the complex presented in (<b>A</b>). C-termini are shown with arrows. (<b>C</b>) interaction interface between the isoD7-Aβ<sub>16</sub> and two standard Aβ<sub>16</sub> peptides bound via Zn ions. Zn ions are coordinated with Glu11 and His14 residues of the standard Aβ<sub>16</sub> peptides (colored with magenta) and with residues His6, His13 and Glu11, His14 of the isoD7-Aβ<sub>16</sub> peptide. (<b>D</b>) different view on the complex presented in (<b>C</b>). C-termini are shown with arrows.</p>
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24 pages, 9857 KiB  
Article
Mitochondria-Targeted Delivery Strategy of Dual-Loaded Liposomes for Alzheimer’s Disease Therapy
by Leysan Vasileva, Gulnara Gaynanova, Farida Valeeva, Grigory Belyaev, Irina Zueva, Kseniya Bushmeleva, Guzel Sibgatullina, Dmitry Samigullin, Alexandra Vyshtakalyuk, Konstantin Petrov, Lucia Zakharova and Oleg Sinyashin
Int. J. Mol. Sci. 2023, 24(13), 10494; https://doi.org/10.3390/ijms241310494 - 22 Jun 2023
Cited by 13 | Viewed by 2259
Abstract
Liposomes modified with tetradecyltriphenylphosphonium bromide with dual loading of α-tocopherol and donepezil hydrochloride were successfully designed for intranasal administration. Physicochemical characteristics of cationic liposomes such as the hydrodynamic diameter, zeta potential, and polydispersity index were within the range from 105 to 115 nm, [...] Read more.
Liposomes modified with tetradecyltriphenylphosphonium bromide with dual loading of α-tocopherol and donepezil hydrochloride were successfully designed for intranasal administration. Physicochemical characteristics of cationic liposomes such as the hydrodynamic diameter, zeta potential, and polydispersity index were within the range from 105 to 115 nm, from +10 to +23 mV, and from 0.1 to 0.2, respectively. In vitro release curves of donepezil hydrochloride were analyzed using the Korsmeyer–Peppas, Higuchi, First-Order, and Zero-Order kinetic models. Nanocontainers modified with cationic surfactant statistically better penetrate into the mitochondria of rat motoneurons. Imaging of rat brain slices revealed the penetration of nanocarriers into the brain. Experiments on transgenic mice with an Alzheimer’s disease model (APP/PS1) demonstrated that the intranasal administration of liposomes within 21 days resulted in enhanced learning abilities and a reduction in the formation rate of Aβ plaques in the entorhinal cortex and hippocampus of the brain. Full article
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Graphical abstract

Graphical abstract
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<p>Chemical structures of liposome components.</p>
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<p>Diagram of changes in zeta potential of PC/Chol/TOC/TPPB-14 liposomes during storage. Liposome concentration is: (<b>a</b>) 15 mM; (<b>b</b>) 20 mM; (<b>c</b>) 30 mM.</p>
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<p>(<b>a</b>) TEM images of PC/Chol/TOC/TPPB-14 liposomes (20 mM); (<b>b</b>) size distribution of liposomes by number (TEM); (<b>c</b>) number averaged size distribution of particles (DLS), 25 °C.</p>
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<p>The release kinetic model fitting curves of DNP: (<b>a</b>) Korsmeyer–Peppas model; (<b>b</b>) First-Order kinetic model; (<b>c</b>) Higuchi model; (<b>d</b>) Zero-Order kinetic model. Total lipid concentration is 20 mM. Phosphate buffer (0.025 M), pH = 7.4, 37 °C.</p>
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<p>Analysis of colocalization of PC/Chol/TOC and PC/Chol/TOC/TPPB-14 (20 mM) liposomes with mitochondria of rat motoneurons: (<b>a</b>) cells are labeled with DOPE-RhB (liposomes); (<b>b</b>) cells are labeled with MitoTracker Green (mitochondria); (<b>c</b>) merged image with yellow color indicating colocalization of the two probes. Scale bar 20 μm.</p>
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<p>Cross-sections of rat brain: (<b>a</b>) control; (<b>b</b>) after administration of free RhB (0.5 mg/kg); (<b>c</b>) after intranasal administration of RhB (0.5 mg/kg) in PC/Chol/TPPB-14 (15 mM) liposomes. Scale bar 250 μm.</p>
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<p>Distribution of the preference index of transgenic APP/PS1 mice for the novel object in the control group of wild-type mice (TG−, in the control group of transgenic mice (TG+), and in the group of transgenic mice (TG+) that intranasally received liposomes with TOC and DNP for 21 days. Data are presented as mean values ± SEM. ***—difference with regard to the control group of TG− mice is statistically significant at <span class="html-italic">p</span> ≤ 0.001. Statistical analysis was performed using ANOVA with Tukey’s post hoc test.</p>
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<p>Mean number of Aβ plaques (<b>a</b>) and mean percentage of total area of Aβ plaques (<b>b</b>) in the entorhinal cortex and hippocampus of the brain in the control group of transgenic mice (TG+) and in the group of transgenic mice (TG+) receiving liposomes loaded with TOC and DNP. Data are presented as mean values ± SEM. *—difference with regard to the TG+ control group is statistically significant at <span class="html-italic">p</span> ≤ 0.05; *** at <span class="html-italic">p</span> ≤ 0.001. Statistical analysis was performed using the Mann–Whitney test.</p>
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<p>Intensity of synaptophysin immunoexpression in cross-sections of mice brain in entorhinal cortex and hippocampus in the control group of transgenic mice (TG−) and in the group of transgenic mice (TG+) receiving liposomes loaded with TOC and DNP. The dotted line shows the mean value of synaptophysin immunoexpression intensity in the control group of TG− mice. Data are presented as mean values ± SEM. *—significant difference from the control group of TG− mice at <span class="html-italic">p</span> ≤ 0.05; ** at <span class="html-italic">p</span> ≤ 0.01. ##—significant difference from the control group of TG+ mice at <span class="html-italic">p</span> ≤ 0.01; ### at <span class="html-italic">p</span> ≤ 0.001. Statistical analysis was performed using the Mann–Whitney test.</p>
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23 pages, 4295 KiB  
Article
Distinct Effects of Beta-Amyloid, Its Isomerized and Phosphorylated Forms on the Redox Status and Mitochondrial Functioning of the Blood–Brain Barrier Endothelium
by Aleksandra V. Petrovskaya, Artem M. Tverskoi, Evgeny P. Barykin, Kseniya B. Varshavskaya, Alexandra A. Dalina, Vladimir A. Mitkevich, Alexander A. Makarov and Irina Yu. Petrushanko
Int. J. Mol. Sci. 2023, 24(1), 183; https://doi.org/10.3390/ijms24010183 - 22 Dec 2022
Cited by 9 | Viewed by 2030
Abstract
The Alzheimer’s disease (AD)-associated breakdown of the blood–brain barrier (BBB) promotes the accumulation of beta-amyloid peptide (Aβ) in the brain as the BBB cells provide Aβ transport from the brain parenchyma to the blood, and vice versa. The breakdown of the BBB during [...] Read more.
The Alzheimer’s disease (AD)-associated breakdown of the blood–brain barrier (BBB) promotes the accumulation of beta-amyloid peptide (Aβ) in the brain as the BBB cells provide Aβ transport from the brain parenchyma to the blood, and vice versa. The breakdown of the BBB during AD may be caused by the emergence of blood-borne Aβ pathogenic forms, such as structurally and chemically modified Aβ species; their effect on the BBB cells has not yet been studied. Here, we report that the effects of Aβ42, Aβ42, containing isomerized Asp7 residue (iso-Aβ42) or phosphorylated Ser8 residue (p-Aβ42) on the mitochondrial potential and respiration are closely related to the redox status changes in the mouse brain endothelial cells bEnd.3. Aβ42 and iso-Aβ42 cause a significant increase in nitric oxide, reactive oxygen species, glutathione, cytosolic calcium and the mitochondrial potential after 4 h of incubation. P-Aβ42 either does not affect or its effect develops after 24 h of incubation. Aβ42 and iso-Aβ42 activate mitochondrial respiration compared to p-Aβ42. The isomerized form promotes a greater cytotoxicity and mitochondrial dysfunction, causing maximum oxidative stress. Thus, Aβ42, p-Aβ42 and iso-Aβ42 isoforms differently affect the BBBs’ cell redox parameters, significantly modulating the functioning of the mitochondria. The changes in the level of modified Aβ forms can contribute to the BBBs’ breakdown during AD. Full article
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Figure 1

Figure 1
<p>The effects of beta-amyloid isoforms on bEnd.3 cell death. The cells were incubated for (<b>A</b>) 4 h, (<b>B</b>) 24 h and (<b>C</b>) 48 h with 10 µM of Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. The percentage of propidium iodide positive (dead) cells was analyzed by flow cytometry. The mean ± SD in 7 independent experiments in triplicates is shown in the figure. The statistical difference between experimental groups was analyzed by one-way analysis of variance using the post hoc Tukey test for multiple comparisons. ***—<span class="html-italic">p</span> &lt; 0.001.</p>
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<p>The effects of beta-amyloid isoforms on the redox parameters in bEnd.3 cells. Cells were incubated for 4 h (<b>A</b>,<b>D</b>,<b>G</b>), 24 h (<b>B</b>,<b>E</b>,<b>H</b>) and 48 h (<b>C</b>,<b>F</b>,<b>I</b>) with 10 µM of Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. The level of intracellular nitric oxide (NO) (<b>A</b>–<b>C</b>), reduced glutathione (GSH) (<b>D</b>–<b>F</b>) and intracellular reactive oxygen species (ROS) (<b>G</b>–<b>I</b>) were analyzed by flow cytometry. All parameters were normalized to control. The values in the control samples were taken as 100%. The mean ± SD in 3 independent experiments in triplicates is shown in the figure. The statistical difference between experimental groups was analyzed by one-way analysis of variance using the post hoc Tukey test for multiple comparisons. *—<span class="html-italic">p</span> &lt; 0.05, **—<span class="html-italic">p</span> &lt; 0.01 and ***—<span class="html-italic">p</span> &lt; 0.001.</p>
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<p>The effects of beta-amyloid isoforms on intracellular and mitochondrial calcium levels in bEnd.3 cells. Cells were incubated for 4 h (<b>A</b>,<b>B</b>), 24 h (<b>C</b>,<b>D</b>) and 48 h (<b>E</b>,<b>F</b>) with 10 μM of Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. Flow cytometry was used to analyze changes in intracellular calcium (<b>A</b>,<b>C</b>,<b>E</b>) and mitochondrial calcium (<b>B</b>,<b>D</b>,<b>F</b>). All parameters were normalized to control. The values in the control samples were taken as 100%. The mean ± SD in 3 independent experiments in triplicates is shown in the figure. The statistical difference between experimental groups was analyzed by one-way analysis of variance using the post hoc Tukey test for multiple comparisons. *—<span class="html-italic">p</span> &lt; 0.05, ** —<span class="html-italic">p</span> &lt; 0.01 and ***—<span class="html-italic">p</span> &lt; 0.001.</p>
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<p>The effects of beta-amyloid isoforms on mitochondrial potential in bEnd.3 cells. Cells were incubated for 4 h (<b>A</b>,<b>B</b>), 24 h (<b>C</b>,<b>D</b>) and 48 h (<b>E</b>,<b>F</b>) with 10 μM of Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. Flow cytometry was used to analyze changes in mean MitoProbe DilC fluorescence (<b>A</b>,<b>C</b>,<b>E</b>) and the number of cells with low mitochondrial potential (ψ) (<b>B</b>,<b>D</b>,<b>F</b>). Mean DilC fluorescence was normalized to control. The values in the control samples were taken as 100%. The mean ± SD in 3 independent experiments in triplicates is shown in the figure. The statistical difference between experimental groups was analyzed by one-way analysis of variance using the post hoc Tukey test for multiple comparisons. *—<span class="html-italic">p</span> &lt; 0.05, **—<span class="html-italic">p</span> &lt; 0.01 and ***—<span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Scheme for measuring the bioenergetics parameters. Seahorse technology was used to assess cellular OCR. The ATP synthase inhibitor oligomycin, protonophore FCCP (carbonyl cyanide 4-(trifluoromethoxy)phenylhydrazone), and mitochondrial complex I and III inhibitors, Rotenone and antimycin A, respectively, were used to further determine indicators of cellular respiration. OCR is the oxygen consumption rate. ECAR is the extracellular acidification rate. The respiration parameters were calculated as follows: Basal respiration = cellular respiration—non-mitochondrial respiration; ATP-linked respiration = cellular respiration—oligomycin-inhibited respiration; Maximal respiration capacity = FCCP-induced respiration—non-mitochondrial respiration; Spare capacity = FCCP-induced respiration—cellular respiration; Proton leak = ATP-linked respiration—non-mitochondrial respiration.</p>
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<p>The effects of beta-amyloid isoforms on the bioenergetic functions of bEnd.3 cells after 4 h incubation. Cells were incubated with 10 µM of Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. (<b>A</b>) Representative raw data of bioenergetic function. (<b>B</b>) Basal respiration, (<b>C</b>) ATP-linked respiration, (<b>D</b>) maximal respiration capacity, (<b>E</b>) spare capacity, (<b>F</b>) proton leak and (<b>G</b>) non-mitochondrial respiration are demonstrated. The results were calculated based on data obtained using bioenergetic functional analysis (for details, see <a href="#ijms-24-00183-f005" class="html-fig">Figure 5</a>). The values in the control samples were taken as 1. All parameters were normalized to control. OCR is the oxygen consumption rate. FCCP is carbonyl cyanide 4-(trifluoromethoxy)phenylhydrazone. Each geometric figure (circle/square/up-pointing triangle/down-pointing triangle) in the histogram represents the result in an independent sample and corresponds to the Control, Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. The mean ± SD in 3 independent experiments in 4–8 replications is shown in the figure. The statistical difference between experimental groups was analyzed by one-way analysis of variance using the post hoc Tukey test for multiple comparisons. *—<span class="html-italic">p</span> &lt; 0.05, **—<span class="html-italic">p</span> &lt; 0.01 and ***—<span class="html-italic">p</span> &lt; 0.001.</p>
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<p>The effects of beta-amyloid isoforms on the bioenergetic functions in bEnd.3 cells after 24 h incubation. Cells were incubated with 10 µM of Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. (<b>A</b>) Representative raw data of bioenergetic function. (<b>B</b>) Basal respiration, (<b>C</b>) ATP-linked respiration, (<b>D</b>) maximal respiration capacity, (<b>E</b>) spare capacity, (<b>F</b>) proton leak and (<b>G</b>) non-mitochondrial respiration are demonstrated. The results were calculated based on the data obtained from bioenergetic functional analysis (for details, see <a href="#ijms-24-00183-f005" class="html-fig">Figure 5</a>). The values in the control samples were taken as 1. All parameters given are normalized to control. OCR is the oxygen consumption rate. FCCP is carbonyl cyanide 4-(trifluoromethoxy)phenylhydrazone. Each geometric figure (circle/square/up-pointing triangle/down-pointing triangle) in the histogram represents the result in an independent sample and corresponds to the Control, Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. The mean ± SD in 3 independent experiments in 5–8 replications is shown in the figure. The statistical difference between experimental groups was analyzed by one-way analysis of variance using the post hoc Tukey test for multiple comparisons. **—<span class="html-italic">p</span> &lt; 0.01 and ***—<span class="html-italic">p</span> &lt; 0.001.</p>
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<p>The effects of beta-amyloid isoforms on the bioenergetic functions in bEnd.3 cells after 48 h incubation. Cells were incubated with 10 µM of Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. (<b>A</b>) Representative raw data of bioenergetic function. (<b>B</b>) Basal respiration, (<b>C</b>) ATP-linked respiration, (<b>D</b>) maximal respiration capacity, (<b>E</b>) spare capacity, (<b>F</b>) proton leak and (<b>G</b>) non-mitochondrial respiration are demonstrated. The results were calculated based on the data obtained from bioenergetic functional analysis (for details, see <a href="#ijms-24-00183-f005" class="html-fig">Figure 5</a>). The values in the control samples were taken as 1. All parameters given are normalized to control. OCR is the oxygen consumption rate. FCCP is carbonyl cyanide 4-(trifluoromethoxy)phenylhydrazone. Each geometric figure (circle/square/up-pointing triangle/down-pointing triangle) in the histogram represents the result in an independent sample and corresponds to the Control, Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. The mean ± SD in 3 independent experiments in 4–5 replications is shown in the figure. The statistical difference between experimental groups was analyzed by one-way analysis of variance using the post hoc Tukey test for multiple comparisons. *—<span class="html-italic">p</span> &lt; 0.05, **—<span class="html-italic">p</span> &lt; 0.01 and ***—<span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effect of beta-amyloid isoforms on the extracellular acidification rate. Mouse brain endothelial cells bEnd.3 were incubated for (<b>A</b>) 4 h, (<b>B</b>) 24 h and (<b>C</b>) 48 h with 10 µM of Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. Extracellular acidification rate (ECAR)—the level of acidification of the extracellular medium. The values in the control samples were taken as 1. The histograms indicate the ratio of values in samples with beta-amyloid isoforms, normalized to the control. Each geometric figure (circle/square/up-pointing triangle/down-pointing triangle) in the histogram represents the result in an independent sample and corresponds to the Control, Aβ<sub>42</sub>, p-Aβ<sub>42</sub> and iso-Aβ<sub>42</sub>. The mean ± SD in 3 independent experiments in 5–8 replications is shown in the figure. The statistical difference between experimental groups was analyzed by one-way analysis of variance using the post hoc Tukey test for multiple comparisons. **—<span class="html-italic">p</span> &lt; 0.01 and ***—<span class="html-italic">p</span> &lt; 0.001.</p>
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Review

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14 pages, 1733 KiB  
Review
Cannabinoid and Orexigenic Systems Interplay as a New Focus of Research in Alzheimer’s Disease
by Joan Biel Rebassa, Toni Capó, Jaume Lillo, Iu Raïch, Irene Reyes-Resina and Gemma Navarro
Int. J. Mol. Sci. 2024, 25(10), 5378; https://doi.org/10.3390/ijms25105378 - 15 May 2024
Viewed by 1238
Abstract
Alzheimer’s disease (AD) remains a significant health challenge, with an increasing prevalence globally. Recent research has aimed to deepen the understanding of the disease pathophysiology and to find potential therapeutic interventions. In this regard, G protein-coupled receptors (GPCRs) have emerged as novel potential [...] Read more.
Alzheimer’s disease (AD) remains a significant health challenge, with an increasing prevalence globally. Recent research has aimed to deepen the understanding of the disease pathophysiology and to find potential therapeutic interventions. In this regard, G protein-coupled receptors (GPCRs) have emerged as novel potential therapeutic targets to palliate the progression of neurodegenerative diseases such as AD. Orexin and cannabinoid receptors are GPCRs capable of forming heteromeric complexes with a relevant role in the development of this disease. On the one hand, the hyperactivation of the orexins system has been associated with sleep–wake cycle disruption and Aβ peptide accumulation. On the other hand, cannabinoid receptor overexpression takes place in a neuroinflammatory environment, favoring neuroprotective effects. Considering the high number of interactions between cannabinoid and orexin systems that have been described, regulation of this interplay emerges as a new focus of research. In fact, in microglial primary cultures of APPSw/Ind mice model of AD there is an important increase in CB2R–OX1R complex expression, while OX1R antagonism potentiates the neuroprotective effects of CB2R. Specifically, pretreatment with the OX1R antagonist has been shown to strongly potentiate CB2R signaling in the cAMP pathway. Furthermore, the blockade of OX1R can also abolish the detrimental effects of OX1R overactivation in AD. In this sense, CB2R–OX1R becomes a new potential therapeutic target to combat AD. Full article
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<p>Interplay between the cannabinoid and orexigenic systems. This diagram illustrates the different pathways through which cannabinoid and orexigenic systems interact with each other. The interactions can be as follows: direct through the formation of heteromers (<b>1</b>), or indirect via other components of both systems (<b>2</b> and <b>3</b>). When forming heteromers, both receptors (CB<sub>1</sub>R–OX<sub>1</sub>R) mutually potentiate each other, resulting in an intracellular increase in calcium through a Gq-protein-phospholipase C cascade mediated by OXR and an enhancement of the MAPK pathway mediated by both receptors (<b>1</b>). Upon orexin release, activation of postsynaptic OXR triggers the synthesis of the endocannabinoid 2 arachidonoylglycerol (2-AG) through a signaling cascade involving Gq-protein and phospholipase C-diacylglycerol lipase (PLC-DAGL). Subsequently, 2-AG diffuses into the extracellular space and binds to CBR on presynaptic cells (<b>2</b>) or neighboring cells (<b>3</b>), inducing hyperpolarization of neuronal membranes and suppressing neurotransmitter release at axon terminals. When neighboring cells are GABAergic interneuron cells, this can avoid its inhibitory role and promote a higher neuronal activation (<b>3</b>) inducing an excitotoxity state.</p>
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<p>CBR–OXR heteromeric complex as a potential therapeutic target by which to reverse the classical symptoms in Alzheimer’s disease. (<b>A</b>) In AD, activation of orexin receptors promotes dysregulation of the sleep–wake cycle, which is associated with increased accumulation of Aβ and tau proteins, accelerating disease progression. Consequently, this leads to neuronal death and microglial activation, releasing proinflammatory molecules and triggering glutamate release to counteract this adverse situation. Overall, this neuroinflammatory state promotes dysfunction of orexin receptors, creating a cycle that worsens the disease prognosis. (<b>B</b>) CB<sub>2</sub>R–OX<sub>1</sub>R heteromers hold great potential for treating AD symptoms. Treatment with OX<sub>1</sub>R antagonists enhances microglial neuroprotective functions, mitigating the neuroinflammatory process through the OX<sub>1</sub>R–CB<sub>2</sub>R heteromer. Reduced production of proinflammatory molecules by microglia and the consequent decrease in excitotoxicity ensure a state of neuroprotection. Furthermore, OX<sub>1</sub>R blockade in the OX<sub>1</sub>R–CB<sub>2</sub>R heteromer potentiates the neuroprotective effects of CB<sub>2</sub>R, further enhancing the beneficial effects of this drug.</p>
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18 pages, 3471 KiB  
Review
Mechanisms of 3-Hydroxyl 3-Methylglutaryl CoA Reductase in Alzheimer’s Disease
by Xun Zhou, Xiaolang Wu, Rui Wang, Lu Han, Huilin Li and Wei Zhao
Int. J. Mol. Sci. 2024, 25(1), 170; https://doi.org/10.3390/ijms25010170 - 22 Dec 2023
Cited by 4 | Viewed by 1903
Abstract
Alzheimer’s disease (AD) is the most common neurodegenerative disease worldwide and has a high incidence in the elderly. Unfortunately, there is no effective therapy for AD owing to its complicated pathogenesis. However, the development of lipid-lowering anti-inflammatory drugs has heralded a new era [...] Read more.
Alzheimer’s disease (AD) is the most common neurodegenerative disease worldwide and has a high incidence in the elderly. Unfortunately, there is no effective therapy for AD owing to its complicated pathogenesis. However, the development of lipid-lowering anti-inflammatory drugs has heralded a new era in the treatment of Alzheimer’s disease. Several studies in recent years have shown that lipid metabolic dysregulation and neuroinflammation are associated with the pathogenesis of AD. 3-Hydroxyl 3-methylglutaryl CoA reductase (HMGCR) is a rate-limiting enzyme in cholesterol synthesis that plays a key role in cholesterol metabolism. HMGCR inhibitors, known as statins, have changed from being solely lipid-lowering agents to neuroprotective compounds because of their effects on lipid levels and inflammation. In this review, we first summarize the main regulatory mechanism of HMGCR affecting cholesterol biosynthesis. We also discuss the pathogenesis of AD induced by HMGCR, including disordered lipid metabolism, oxidative stress, inflammation, microglial proliferation, and amyloid-β (Aβ) deposition. Subsequently, we explain the possibility of HMGCR as a potential target for AD treatment. Statins-based AD treatment is an ascent field and currently quite controversial; therefore, we also elaborate on the current application prospects and limitations of statins in AD treatment. Full article
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<p>HMGCR catalyzes the NADPH-dependent conversion of HMG-CoA to mevalonate. Mevalonate is phosphorylated by mevalonate kinase and then metabolized to isopentenyl pyrophosphate (IPP), which promotes the formation of acetylene pyrophosphate (FPP) and geranylgeranyl pyrophosphate (GGPP) from IPP through the mevalonate pathway. In addition, LDLR can promote plasma LDL catabolism and reduce plasma cholesterol concentration by inhibiting HMGCR activity. SREBP cleavage activator protein (SCAP) can bind to <span class="html-italic">INSIG1</span> and <span class="html-italic">INSIG2</span> to form the SREBP/SCAP/INSIG complex, which is transmitted to the Golgi apparatus if necessary. Among them, sterol regulatory element binding protein-2 (SREBP-2) is retained as a membrane-bound precursor of the endoplasmic reticulum (ER) and binds to SCAP to sense cholesterol. Next, SREBP-2 is sequentially cleaved by membrane-bound transcription factor site-1 protease (MBTPS1) and MBTPS2 and transported to the nucleus. Interestingly, the SREBP/SCAP complex is retained in the endoplasmic reticulum at higher sterol concentrations, inhibiting SREBP-mediated transcription and HMGCR production. INSIGs can also link HMGCR to the E3 ligases gp78 and TRC8 to participate in the ubiquitination of HMGCR. HMGCR promoter regions such as sterol regulatory element (SRE), cyclic AMP response element (CRE), and estrogen response element (ERE) can activate HMGCR transcriptional activity. Created from <a href="https://app.biorender.com" target="_blank">https://app.biorender.com</a> (accessed on 28 November 2022).</p>
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<p>HMGCR-mediated inflammatory response is mainly caused by oxidative stress and neuroinflammatory mediators, microglial proliferation, and Aβ deposition. HMGCR upregulates MHC-II expression to activate T-cell activation, thereby increasing the release of the proinflammatory cytokines Interleukin-1 (IL-1) and Interleukin-6 (IL-6) and the synthesis of tumor necrosis factor (TNF-α). High cholesterol levels drastically decrease the activity of brain antioxidant–detoxifying enzymes, including glutathione peroxidase (GPX) and superoxide dismutase (SOD), while increasing the production of malondialdehyde (MDA). Arrows red (stimulate/increase), green arrows (inhibit/decrease). Created from <a href="https://app.biorender.com" target="_blank">https://app.biorender.com</a> (accessed on 28 November 2022).</p>
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<p>Cognitive dysfunction can result from activation of the HMGCR, which can also cause lipid metabolism disorder, oxidative stress, the release of neuroinflammatory mediators, and proliferation, Aβ deposition, and microglial proliferation. Red cross indicates separation of LDLR from plasma LDL-C particles. Created from <a href="https://app.biorender.com" target="_blank">https://app.biorender.com</a> (accessed on 28 November 2022).</p>
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26 pages, 1788 KiB  
Review
Repositioning of Anti-Diabetic Drugs against Dementia: Insight from Molecular Perspectives to Clinical Trials
by Keren Esther Kristina Mantik, Sujin Kim, Bonsang Gu, Sohee Moon, Hyo-Bum Kwak, Dong-Ho Park and Ju-Hee Kang
Int. J. Mol. Sci. 2023, 24(14), 11450; https://doi.org/10.3390/ijms241411450 - 14 Jul 2023
Cited by 12 | Viewed by 3284
Abstract
Insulin resistance as a hallmark of type 2 DM (T2DM) plays a role in dementia by promoting pathological lesions or enhancing the vulnerability of the brain. Numerous studies related to insulin/insulin-like growth factor 1 (IGF-1) signaling are linked with various types of dementia. [...] Read more.
Insulin resistance as a hallmark of type 2 DM (T2DM) plays a role in dementia by promoting pathological lesions or enhancing the vulnerability of the brain. Numerous studies related to insulin/insulin-like growth factor 1 (IGF-1) signaling are linked with various types of dementia. Brain insulin resistance in dementia is linked to disturbances in Aβ production and clearance, Tau hyperphosphorylation, microglial activation causing increased neuroinflammation, and the breakdown of tight junctions in the blood–brain barrier (BBB). These mechanisms have been studied primarily in Alzheimer’s disease (AD), but research on other forms of dementia like vascular dementia (VaD), Lewy body dementia (LBD), and frontotemporal dementia (FTD) has also explored overlapping mechanisms. Researchers are currently trying to repurpose anti-diabetic drugs to treat dementia, which are dominated by insulin sensitizers and insulin substrates. Although it seems promising and feasible, none of the trials have succeeded in ameliorating cognitive decline in late-onset dementia. We highlight the possibility of repositioning anti-diabetic drugs as a strategy for dementia therapy by reflecting on current and previous clinical trials. We also describe the molecular perspectives of various types of dementia through the insulin/IGF-1 signaling pathway. Full article
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<p>Current proposed mechanisms of anti-diabetic drugs, including (<b>A</b>) insulin, (<b>B</b>) insulin secretagogues, (<b>C</b>) insulin sensitizers, and (<b>D</b>) SGLT-2 inhibitors and amylin analogues as DMT for dementia. * GLP-1 receptor agonists, ** Sulfonylurea, # SGLT-2 inhibitors, ## Amylin analogs, solid red line: current proposed mechanism, dashed red line: further studies needed.</p>
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<p>Current status of clinical trial phases in repositioning anti-diabetic drugs for dementia treatment.</p>
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<p>Targeted conditions and diseases in clinical trials repositioning anti-diabetic drugs for dementia treatment.</p>
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<p>Classification of drug modes of action in clinical trials repositioning anti-diabetic drugs for dementia treatment.</p>
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19 pages, 1587 KiB  
Review
Synthetic, Cell-Derived, Brain-Derived, and Recombinant β-Amyloid: Modelling Alzheimer’s Disease for Research and Drug Development
by Kseniya B. Varshavskaya, Vladimir A. Mitkevich, Alexander A. Makarov and Evgeny P. Barykin
Int. J. Mol. Sci. 2022, 23(23), 15036; https://doi.org/10.3390/ijms232315036 - 30 Nov 2022
Cited by 7 | Viewed by 3241
Abstract
Alzheimer’s disease (AD) is the most common cause of dementia in the elderly, characterised by the accumulation of senile plaques and tau tangles, neurodegeneration, and neuroinflammation in the brain. The development of AD is a pathological cascade starting according to the amyloid hypothesis [...] Read more.
Alzheimer’s disease (AD) is the most common cause of dementia in the elderly, characterised by the accumulation of senile plaques and tau tangles, neurodegeneration, and neuroinflammation in the brain. The development of AD is a pathological cascade starting according to the amyloid hypothesis with the accumulation and aggregation of the β-amyloid peptide (Aβ), which induces hyperphosphorylation of tau and promotes the pro-inflammatory activation of microglia leading to synaptic loss and, ultimately, neuronal death. Modelling AD-related processes is important for both studying the molecular basis of the disease and the development of novel therapeutics. The replication of these processes is often achieved with the use of a purified Aβ peptide. However, Aβ preparations obtained from different sources can have strikingly different properties. This review aims to compare the structure and biological effects of Aβ oligomers and aggregates of a higher order: synthetic, recombinant, purified from cell culture, or extracted from brain tissue. The authors summarise the applicability of Aβ preparations for modelling Aβ aggregation, neurotoxicity, cytoskeleton damage, receptor toxicity in vitro and cerebral amyloidosis, synaptic plasticity disruption, and cognitive impairment in vivo and ex vivo. Further, the paper discusses the causes of the reported differences in the effect of Aβ obtained from the sources mentioned above. This review points to the importance of the source of Aβ for AD modelling and could help researchers to choose the optimal way to model the Aβ-induced abnormalities. Full article
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<p>Common sources of beta-amyloid peptide (Aβ) used for modelling Alzheimer’s disease (AD)-related processes in vitro and in vivo.</p>
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<p>Aβ-derived diffusible ligands (ADDLs) from the AD brain or prepared in vitro show identical punctate binding to neuronal cell-surface proteins. Cultured hippocampal neurons were incubated with soluble extracts of the human brain or synthetic ADDLs. Binding was visualised by immunofluorescence microscopy by using an M93 antibody. Soluble AD-brain proteins (<b>A</b>), soluble control-brain proteins (<b>B</b>), synthetic ADDLs (<b>C</b>), and synthetic ADDLs (<b>D</b>) pretreated (1 h) with an oligomer-selective antibody M71 are shown. Small puncta, typically &lt;1 μm, and largely distributed along neurites, are evident for AD extracts and synthetic ADDLs, but not for control extracts or antibody-pretreated ADDLs. (Bar, 10 μm). The figure is reprinted from [<a href="#B15-ijms-23-15036" class="html-bibr">15</a>].</p>
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<p>Different structures of brain-derived and in vitro formed Aβ fibrils. (<b>a</b>) Negative stain TEM images of brain-derived amyloid fibrils or in vitro formed Aβ fibrils. Scale bar: 200 nm. (<b>b</b>,<b>c</b>) TEM (<b>b</b>) and SEM (<b>c</b>) images of brain-derived amyloid fibrils or in vitro formed Aβ fibrils after platinum side shadowing. Scale bars: 100 nm. The figure is reprinted from [<a href="#B18-ijms-23-15036" class="html-bibr">18</a>].</p>
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<p>Fibrils of recombinant (<b>left</b>) and synthetic (<b>right</b>) Aβ42. Negative stain EM analysis. The figure is reprinted from [<a href="#B23-ijms-23-15036" class="html-bibr">23</a>].</p>
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