Contribution of hyperglycemia-induced changes in microglia to Alzheimer's disease pathology.

Alzheimer's disease (AD) is a neurodegenerative condition characterized by cognitive and functional impairments. The investigation of AD has focused on the formation of senile plaques, composed mainly by amyloid ß (Aß) peptide, and neurofibrillary tangles (NFTs) in the brain. Senile plaques and NFTs cause the excessive recruitment and activation of microglia, thus generating neuroinflammation and neuronal damage. Among the risk factors for the development of AD, diabetes has increasingly attracted attention. Hyperglycemia, the fundamental characteristic of diabetes, is involved in several mechanisms that give rise to microglial overactivation, resulting in neuronal damage and cognitive impairment. Indeed, various studies have identified the correlation between diabetes and AD. The aim of this review is to describe various mechanisms of the hyperglycemia-induced overactivation of microglia, which leads to neuroinflammation and neuronal damage and consequently contributes to the pathology of AD. The disruption of the regulation of microglial activity by hyperglycemia occurs through many mechanisms, including a greater production of reactive oxygen species (ROS) and glycation end products (AGEs), and a decrease in the elimination of Aß. The future direction of research on the relation between hyperglycemia and AD is addressed, such as the importance of determining whether the hyperglycemia-induced harmful effects on microglial activity can be reversed or attenuated if blood glucose returns to a normal level.

Dissecting the molecular recognition of dual lapatinib derivatives for EGFR/HER2.

Abnormalities in the expression levels of EGFR/HER2 are found in many different types of human cancer; therefore, the design of dual inhibitors of EGFR/HER2 is a recognized anti-cancer strategy. Some lapatinib derivatives have been previously synthesized by modification at the methylsulfonylethylaminomethylfuryl group and biologically evaluated, demonstrating that the 2i compound shows potent inhibitory activity against EGFR/HER2-overexpressing cancer cells. In the present study, we explored the structural and energetic features that guide the molecular recognition of 2i using various EGFR/HER2 states. Molecular dynamics (MD) simulation with an MMPB(GB)SA approach was used to generate the inactive EGFR/HER2-ligand complexes. Our results corroborate that slight modification of lapatinib contributes to an increase in the affinity of the 2i compound for inactive EGFR/HER2 as compared with lapatinib compound, which is in accordance with experimental results. Comparison with previous results reveals that lapatinib and its derivative bind more strongly to the inactive than the intermediate active-inactive HER2 state. Principal component analysis allowed the observation that coupling of 2i to EGFR/HER2 is linked to a reduction in the conformational mobility, which may also contribute to the improvement in affinity observed for this compound as compared with lapatinib.

Complexation of peptide epitopes with G4-PAMAM dendrimer through ligand diffusion molecular dynamic simulations.

Peptide epitopes from HIV-1 gp120 have been used to block the gp120-CD4 complex, whereas their poor absorbable or immunogenic properties prevent them from coupling to generation four polyamidoamine (PAMAM-G4) dendrimers. PAMAM-G4 are synthetic nanoparticles that are relatively nontoxic and nonimmunogenic have been employed as nanocarriers. In a previous study, two peptide epitopes (ABC and PGV04) from gp120 located at the protein-protein interface of the gp120-CD4 complex were identified through protein-protein dissociation. Then, their complexation with G4-PAMAM was evaluated through experimental and theoretical approaches, revealing a stoichiometry of 1:8/9 for G4-PAMAM and ABC or PGV04, respectively, providing important information that can be used to gain insight into the structural and energetic basis of the molecular binding of these G4-PAMAM-peptide systems. In this contribution, we performed ligand diffusion molecular dynamic simulations (LDMDSs) using 1.5 µs combined with the molecular mechanics generalized Born surface area (MMGBSA) approach, a strategy that successfully reproduced experimentally encapsulation on PAMAM-G4-ligand complexes, to explore the mechanism through which ABC and PGV04 are encapsulated by PAMAM-G4 under neutral and acid conditions. Our results reproduce the reported PAMAM-G4-peptide complex stoichiometry, revealing a slower peptide delivery at neutral conditions and a spontaneous release under acidic conditions. LDMDSs show that several peptides can reach stable G4-PAMAM complexes at neutral pH, and only a few are able to encapsulate on dendrimers without impacting dendrimer sphericity. Energetic analysis exploring different generalized Born models revealed that the ABC peptide has better binding properties than PGV04.

Complexation of methotrexate via ligand diffusion molecular dynamic simulations under neutral, basic, and acidic conditions.

Methotrexate (MTX), an FDA-approved drug employed in the treatment of several types of cancer and autoimmune diseases, is characterized by its poor solubility. Therefore, new strategies have been implemented such as coupling to nanocarriers to increase its solubility. Previous experimental studies have demonstrated complexation of MTX to polyamidoamine of a generation four (PAMAM-G4) dendrimer with a complex stoichiometry of 19/22:1 under neutral conditions, providing important information that can be used to further elucidate the structural and energetic basis of the molecular binding of MTX and PAMAM-G4. In this study, we performed ligand diffusion molecular dynamic simulations (LDMDSs), using 3 µs combined with the molecular mechanics generalized surface area (MMGBSA) approach employing saturating concentrations of MTX to explore the mechanism through which MTX is complexed by PAMAM-G4 at neutral, basic, and acidic conditions. Our results reproduce the reported complex stoichiometry between MTX and PAMAM-G4 in neutral conditions. Binding free energy values suggest a much slower release in neutral and acidic conditions, consistent with the controlled rate of drug release into the bloodstream and when reaching the acidic environment of tumor tissues. Altogether, the methodology employed and the results may be useful in the evaluation of other drugs of pharmaceutical interest.

In silico search, chemical characterization and immunogenic evaluation of amino-terminated G4-PAMAM-HIV peptide complexes using three-dimensional models of the HIV-1 gp120 protein.

Peptide epitopes have been widely used to develop synthetic vaccines and immunotherapies. However, peptide epitopes may exhibit poor absorption or immunogenicity due to their low molecular weights. Conversely, fourth-generation polyamidoamine (G4-PAMAM) dendrimers are nonimmunogenic and relatively nontoxic synthetic nanoparticles that have been used as adjuvants and nanocarriers of small peptides and to improve nasal absorption. Based on this information, we hypothesized that the combination of intranasal immunization and G4-PAMAM dendrimers would be useful for enhancing the antibody responses of HIV-1 gp120 peptide epitopes. Therefore, we first used structural data, peptide epitope predictors and docking and MD simulations on MHC-II to identify two peptide epitopes on the CD4 binding site of HIV-1 gp120. The formation of G4-PAMAM-peptide complexes was evaluated in silico (molecular docking studies using different G4-PAMAM conformations retrieved from MD simulations as well as the MMGBSA approach) and validated experimentally (electrophoresis, 1H NMR and cryo-TEM). Next, the G4-PAMAM dendrimer-peptide complexes were administered intranasally to groups of female BALB/cJ mice. The results showed that both peptides were immunogenic at the systemic and mucosal levels (nasal and vaginal), and G4-PAMAM dendrimer-peptide complexes improved IgG and IgA responses in serum and nasal washes. Thus, G4-PAMAM dendrimers have potential for use as adjuvants and nanocarriers of peptides.

Binding free energy calculations using MMPB/GBSA approaches for PAMAM-G4-drug complexes at neutral, basic and acid pH conditions.

Dendrimers are synthetic macromolecules with a highly-branched structure and high concentration of surface groups. Among dendrimers, Poly(amidoamine) (PAMAM) has received substantial attention as a novel drug carrier and delivery system. Depending on the generation and type of terminal groups, dendrimer toxicity could change and include cytotoxicity. Although PAMAM is water soluble, molecular modeling of the dendrimer-drug complex is considered challenging for exploring the conformational mobility of dendrimers and atomic specific interactions during the dendrimer-drug association. However, conventional protocols for predicting binding affinities have been designed for small protein molecules or protein-protein complexes that can be applied to study the dendrimer-drug association. In this work, we performed docking calculations for a set of 94 previously reported compounds on PAMAM of fourth generation (G4-PAMAM) to select six compounds, cromoglicic acid (CRO) - a mast cell stabilizer, Fusidic acid (FUS) - a bacteriostatic antibiotic, and Methotrexate (MTX) - a chemotherapy agent and immune system suppressant, which have the highest affinities for G4-PAMAM, and Lidocaine (LDC) - used to numb tissue in a specific area and for ventricular tachycardia treatment, Metoprolol (MET) - a ß1 receptor blocker, and Pindolol (PIN) - a ß blocker, which have the lowest affinities for the G4-PAMAM dendrimer, to perform MD simulations combined with the molecular mechanics generalized/Poisson-Boltzmann surface area MMGBSA/MMPBSA approach to investigate the interactions of generating 4 charge-neutral, charge-basic and charge-acid G4-PAMAM dendrimers. In addition, to validate these theoretical G4-PAMAM-drug complexes, the complexes were experimentally conjugated to determine their stability in aqueous solubility studies immediately and over one year. Our results show that among the different commercial drugs, both charged and neutral PAMAM have the most favorable binding free energies for CRO, MTX, and FUS, which appears to be due to a complex counterbalance of electrostatics and van der Waals interactions. These theoretical and aqueous solubility studies supported the high affinity of methotrexate for the G4-PAMAM-drug due to its carboxyl and aryl moieties that favor its accommodation by noncovalent interactions.

Design, Synthesis and Biological Evaluation of a Phenyl Butyric Acid Derivative, N-(4-chlorophenyl)-4-phenylbutanamide: A HDAC6 Inhibitor with Anti-proliferative Activity on Cervix Cancer and Leukemia Cells.

BACKGROUND: The epigenetic regulation of genes in cancer could be targeted by inhibiting Histone deacetylase 6 (HDAC6), an enzyme involved in several types of cancer such as lymphoma, leukemia, ovarian cancer, etc. OBJECTIVE: Through in silico methods, a set of Phenyl butyric acid derivatives with possible HDAC6 inhibitory activity were designed, rendering monophenylamides and biphenylamides using tubacin (HDAC6 selective inhibitor) as reference. METHOD: The target compounds were submitted to theoretical ADMET analyses and their binding properties on different HDAC6 conformers were evaluated through docking calculations. RESULTS: These in silico studies allowed us to identify a compound named B-R2B. In order to have more information about the B-R2B binding recognition properties on HDAC6, the B-R2B-HDAC6 complex was submitted through 100 ns-long Molecular Dynamics (MD) simulation coupled to MMGBSA approach, revealing that B-R2B is located at the entrance of HDAC6 active pocket, blocking the passage of the substrate without reaching the HDAC6 binding site. Based on these results, B-R2B was synthesized, characterized and biologically tested. The HDAC6 fluorometric drug discovery kit Fluor-de-Lys (ENZO Life Sciences Inc.) was used to determine the HDAC6 human inhibitory activity (IC50 value) of B-R2B compound. In addition, B-R2B show IC50 values on cancer cell lines (HeLa; IC50 = 72.6 µM), acute myeloid leukemia (THP-1; IC50 = 16.5 µM), human mast leukemia (HMC; IC50 = 79.29 µM) and chronic myelogenous leukemia (Kasumi; IC50 = 101 µM). CONCLUSION: These results show that B-R2B is a HDAC6 inhibitor, specifically a non-competitive type in a similar way that tubacin does, according to MD simulations.

Searching the conformational complexity and binding properties of HDAC6 through docking and molecular dynamic simulations.

Histone deacetylases (HDACs) are a family of proteins involved in the deacetylation of histones and other non-histones substrates. HDAC6 belongs to class II and shares similar biological functions with others of its class. Nevertheless, its three-dimensional structure that involves the catalytic site remains unknown for exploring the ligand recognition properties. Therefore, in this contribution, homology modeling, 100-ns-long Molecular Dynamics (MD) simulation and docking calculations were combined to explore the conformational complexity and binding properties of the catalytic domain 2 from HDAC6 (DD2-HDAC6), for which activity and affinity toward five different ligands have been reported. Clustering analysis allowed identifying the most populated conformers present during the MD simulation, which were used as starting models to perform docking calculations with five DD2-HDAC6 inhibitors: Cay10603 (CAY), Rocilinostat (RCT), Tubastatin A (TBA), Tubacin (TBC), and Nexturastat (NXT), and then were also submitted to 100-ns-long MD simulations. Docking calculations revealed that the five inhibitors bind at the DD2-HDAC6 binding site with the lowest binding free energy, the same binding mode is maintained along the 100-ns-long MD simulations. Overall, our results provide structural information about the molecular flexibility of apo and holo DD2-HDAC6 states as well as insight of the map of interactions between DD2-HDAC6 and five well-known DD2-HDAC6 inhibitors allowing structural details to guide the drug design. Finally, we highlight the importance of combining different theoretical approaches to provide suitable structural models for structure-based drug design.