Disruption of motor behavior and injury to the CNS induced by 3-thienylboronic acid in mice.

The scarcity of studies on boron containing compounds (BCC) in the medicinal field is gradually being remedied. Efforts have been made to explore the effects of BCCs due to the properties that boron confers to molecules. Research has shown that the safety of some BCCs is similar to that found for boron-free compounds (judging from the acute toxicological evaluation). However, it has been observed that the administration of 3-thienylboronic acid (3TB) induced motor disruption in CD1 mice. In the current contribution we studied in deeper form the disruption of motor performance produced by the intraperitoneal administration of 3TB in mice from two strains (CD1 and C57BL6). Disruption of motor activity was dependent not only on the dose of 3TB administered, but also on the DMSO concentration in the vehicle. The ability of 3TB to enter the Central Nervous System (CNS) was evidenced by Raman spectroscopy as well as morphological effects on the CNS, such as loss of neurons yielding biased injury to the substantia nigra and striatum at doses ≥200mg/kg, and involving granular cell damage at doses of 400mg/kg but less injury in the motor cortex. Our work acquaints about the use of this compound in drug design, but the interesting profile as neurotoxic agent invite us to study it regarding the damage on the motor system.

A review of the impact of oxidative stress and some antioxidant therapies on renal damage.

An increase in the generation of reactive oxygen species (ROS) and reactive nitrogen species (RNS) leads to complications during chronic kidney disease (CKD). This increase essentially derives from the impairment of natural antioxidant systems of the organism. The resulting oxidative stress produces damage to kidney tissue, especially by affecting nephrons and more generally by disrupting the function and structure of the glomerulus and interstitial tubule. This leads to a rapid decline in the condition of the patient and finally renal failure. Possible causes of kidney tissue damage are explored, as are different therapies, especially those related to the administration of antioxidants.

Modeling type 2 diabetes in rats by administering tacrolimus.

The prevalence of diabetes is rapidly increasing. The current number of diagnosed cases is ~422 million, expected to reach ~640 million by 2040. Type 2 diabetes, which constitutes ~95% of the cases, is characterized by insulin resistance and a progressive loss of ß-cell function. Despite intense research efforts, no treatments are yet able to cure the disease or halt its progression. Since all existing animal models of type 2 diabetes have serious drawbacks, one is needed that represents the complete pathogenesis, is low cost and non-obese, and can be developed relatively quickly. The aim of this study was to evaluate a low-cost, non-obese model of type 2 diabetes engendered by administering a daily high dose of tacrolimus (an immunosuppressant) to Wistar rats for 4 weeks. The biochemical and antioxidant markers were measured at basal and after the 4-week tacrolimus treatment. At week 4, the values of these parameters closely resembled those observed in human type 2 diabetes, including fasting blood glucose at 141.5 mg/dL, blood glucose greater than 200 mg/dL at 120 min of the glucose tolerance test, blood glucose at varied levels in the insulin tolerance test, and elevated levels of cholesterol and triglyceride. The tacrolimus treatment produced hypoinsulinemia and sustained hyperglycemia, probably explained by the alteration found in pancreatic ß-cell function and morphology. This model should certainly be instrumental for evaluating possible type 2 diabetes treatments, and for designing new immunosuppressants that do not cause pancreatic damage, type 2 diabetes, or new-onset diabetes after transplantation (NODAT).

Epigenetic Evaluation of N-(2-hydroxyphenyl)-2-Propylpentanamide, a Valproic Acid Aryl Derivative with Activity Against HeLa Cells.

BACKGROUND: Valproic acid (VPA) is an HDAC inhibitor (HDACI) with an anticancer activity, but is hepatotoxic. N-(2-hydroxyphenyl)-2-propylpentanamide (o-OH-VPA) is a VPA aryl derivative designed in silico as a selective inhibitor of HDAC8 with biological properties against HeLa, rhabdomyosarcoma and breast cancer cell cultures. OBJECTIVE: We studied the epigenetic mechanism of o-OH-VPA as an HDACI and evaluated whether it was toxic to normal cells. METHODS: HeLa cells and primary human fibroblasts were used for this study as carcinogenic and normal cells, respectively. Cell survival was evaluated by MTT assay, whereas viability and doubling time were determined by the Trypan-blue method. HDAC activity was tested using the colorimetric HDAC activity assay. The expression of p21 was analyzed by PCR and HDAC8 expression was also evaluated by real-time PCR. Cell cycle and caspase-3 activity were analyzed by flow cytometry and caspase-3 colorimetric assay, respectively. RESULTS: o-OH-VPA (IC50 = 0.1 mM) was fifty-eight times more effective than VPA (IC50 = 5.8 mM) to reduce HeLa cell survival. Furthermore, o-OH-VPA increased the doubling time of HeLa cells by 33% with respect to the control. o-OH-VPA acted as HDACI in HeLa cells without affecting the HDAC8 expression, arresting the cell cycle of HeLa cells in the G0/G1 phase due to the increase in p21 expression with the inhibition of caspase-3 activity without exhibiting toxicity toward normal cells. CONCLUSION: Our results revealed that o-OH-VPA is an HDACI with a selective effect against HeLa cells but without the known toxicity exerted by most pan-HDACIs on normal cells.

Catalytic activity of acetylcholinesterase immobilized on mesoporous molecular sieves.

MCM-41 and FSM-16 were used for enzyme immobilization on account of their good physical and chemical properties. In this work, the catalytic activity of acetylcholinesterase (AChE) immobilized on these materials was investigated, using neostigmina as AChE inhibitor. The results show that AChE was adsorbed on MCM-41 and on FSM-16-TIPB. AChE immobilized on the latter material maintained 70% of its activity and the material did not hydrolyze ACh (as MCM-41) by itself. Therefore, FSM-16-TIPB was the best material, considering also that when neostigmine was applied to AChE immobilized on FSM-16-TIPB, the activity of AChE decreased as occurs in its free from. Hence, this model could be useful in the evaluation of different kinds of AChE inhibitors, allowing the recycling of enzymes and making possible several assays and thereby, lowering cost.

Effect of a M1 allosteric modulator on scopolamine-induced amnesia.

It is well accepted that acetylcholine is involved in memory and learning processes and that loss of memory is characteristic of Alzheimer's disease (AD). Several muscarinic agonists have been shown to be clinically effective in the treatment of AD. However, their use has been limited due to adverse side effects. As a result, more selective M1 agonists are expected to be the next generation of agents for the treatment of AD. One pharmacological approach to evaluate possible cognitive effects of compounds includes their ability to reverse scopolamine-induced amnesia. In the current study the succinamide and succinimide of p-aminophenol, two newly synthesized compounds that were previously designed to be acetylcholine analogues, were evaluated in a Pavlovian/Instrumental autoshaped memory task. Simultaneously, docking studies on the M1 receptor were done. The scopolamine-induced amnesia was reversed by the amide but not the imide. These findings are in line with results derived from the docking simulations, and suggest that at least the succinamide of p-aminophenol could represent a novel candidate for the treatment of AD.

Current data regarding the structure-toxicity relationship of boron-containing compounds.

Boron is ubiquitous in nature, being an essential element of diverse cells. As a result, humans have had contact with boron containing compounds (BCCs) for a long time. During the 20th century, BCCs were developed as antiseptics, antibiotics, cosmetics and insecticides. Boric acid was freely used in the nosocomial environment as an antiseptic and sedative salt, leading to the death of patients and an important discovery about its critical toxicology for humans. Since then the many toxicological studies done in relation to BCCs have helped to establish the proper limits of their use. During the last 15 years, there has been a boom of research on the design and use of new, potent and efficient boron containing drugs, finding that the addition of boron to some known drugs increases their affinity and selectivity. This mini-review summarizes two aspects of BCCs: toxicological data found with experimental models, and the scarce but increasing data about the structure-activity relationship for toxicity and therapeutic use. As is the case with boron-free compounds, the biological activity of BCCs is related to their chemical structure. We discuss the use of new technology to discover potent and efficient BCCs for medicinal therapy by avoiding toxic effects.

In Silico Studies Most Employed in the Discovery of New Antimicrobial Agents.

The present review summarizes the methods most used in drug search and design, which may help to keep pace with the growing antibiotic resistance among pathogens. The rate of reduction in the effectiveness of many antimicrobial medications, caused by this resistance, is faster than new drug development, thereby creating a worldwide public health threat. Among the scientific community, the urgency of finding new drugs is peaking interest in the use of in silico studies to explore the interaction of compounds with target receptors. With this approach, small molecules (designed or retrieved from data bases) are tested with computer-aided molecular simulation to explore their efficacy. That is, ligand-protein complexes are constructed and evaluated via virtual screening (VS), molecular dynamics (MD), and docking simulations with the data from the physical, chemical and pharmacological properties of such molecules. Additionally, the application of quantitative structure-activity relationship (QSAR), multi-target quantitative structure-activity relationship (mt- QSAR), and multi-tasking quantitative structure-biological effect (mtk-QSBER) can be enhanced by principal component analysis and systematic workflows. These types of studies aid in selecting a group of promising molecules with high potency and selectivity as well as low toxicity, thus making in vitro and in vivo (animal model) testing more efficient. Since knowledge of the receptor topography and receptor-ligand interactions has yielded promising compounds and effective drugs, there is now no doubt that the use of in silico tools can lead to more rapid validation of new potential drugs for preclinical studies and clinical trials.

Docking Studies of Glutamine Valproic Acid Derivative (S)-5- amino-2-(heptan-4-ylamino)-5-oxopentanoic Acid (Gln-VPA) on HDAC8 with Biological Evaluation in HeLa Cells.

In this contribution, we focused on evaluating a novel compound developed by our group. This molecule, derived from glutamine (Gln) and valproic acid (VPA), denominated (S)- 5-amino-2-(heptan-4-ylamino)-5-oxopentanoic acid (Gln-VPA), was submitted to docking studies on histone deacetylase 8 (HDAC8) to explore its non-bonded interactions. The theoretical results were validated in HeLa cells as a cancer cell model and in human dermal fibroblasts as a normal cell model. The effects of Gln-VPA on HeLa and normal fibroblasts in terms of cell survival and the ability to inhibit HDAC activity in nude nuclear proteins and in nuclear proteins of whole cells treated for 24 h were analyzed. The HeLa cell cycle was analyzed after 24 and 48 h of treatment with Gln-VPA. The docking studies show that Gln-VPA can reach the catalytic site of HDAC8. Gln-VPA was organically synthesized with a purity greater than 97%, and its structure was validated using mass spectrometry, nuclear magnetic resonance and infrared spectroscopy. Gln-VPA showed a similar effect to VPA as an HDAC inhibitor but with less toxicity to fibroblasts. Although Gln-VPA was less efficient than VPA in reducing the survival of HeLa cells, it could be studied for use as a cancer cell sensitizer.

Effects of succinic acid derivatives on ex vivo acetylcholinesterase activity.

In the present study the acetylcholinesterase (AChE) inhibition and acute toxicity of two succinic acid derivatives were compared with tacrine. Administration of a single dose of each of two succinic acid derivatives produced a time and dose-dependent inhibition of brain AChE activity. Although the magnitude of the cholinergic effects observed with the two succinic acid derivatives was similar to that seen with tacrine and other AChE inhibitors, the toxicity study showed that the new inhibitors have less adverse side effects.

Antitumor effect and toxicity of two new active-site-directed irreversible ornithine decarboxylase and extrahepatic arginase inhibitors.

The irreversible ornithine decarboxylase and extrahepatic arginase inhibitors (+)-S-2-amino-5-iodoacetamidopentanoic acid (2-AIPA) and (+)-S-2-amino-6-iodoacetamidohexanoic acid (2-AIHA) were evaluated. The LD50 tests were made in rats and mice using both compounds. Rats and mice were treated with either 2-AIPA or 2-AIHA i.p. for a period of 180 days. The treated animals showed a decrease of total serum proteins and increased ALT and AST levels. CK was also modified but inversely related to dose. Protection tests were carried out using L5178Y mouse lymphosarcoma. The mean survival time for each treated group was calculated and the percentage T/C was determined. For 2-AIPA it was 170 and for 2-AIHA it was 210 at 15 mg/kg.

Reversible and irreversible inhibitory activity of succinic and maleic acid derivatives on acetylcholinesterase.

Aryl succinic and maleic acid derivatives are potent inhibitors of bovine acetylcholinesterase in vitro. Succinic acid aminophenol derivatives 1b-e and 2b-d act as reversible inhibitors of acetylcholinesterase, while maleic acid aminophenol derivatives 3b-d and 4c-e act as choline subsite-directed irreversible inhibitors, detected by dialysis in the presence of edrophonium. Linear relationships between the logarithm of the velocity of hydrolysis of acetylcholine plotted against the time of incubation at several different inhibitor concentrations were determined. The K(i) for reversible competitive inhibitors was determined. For irreversible inhibitors the K(i) for the dissociation constant of the enzyme-inhibitor complex at the beginning of the recognition process was also determined as well as the inactivation constant of the enzyme-inhibitor adduct formation k(+2) and the bimolecular inhibition constant k(i) for the inhibition of acetylcholinesterase by aminophenol derivatives 3b-d and 4c-e. The conclusions of this study can be summarized as follows for both families: (a) the aromatic moiety played a critical role in the recognition of the active site; (b) in case of the reversible inhibitor, when the ester function took the place of the hydroxyl fragment, there was an important increase in the affinity; and (c) the distance between phenolic hydroxyl and nitrogen was critical because the inhibition is ortho<

The ambrosanolide cumanin inhibits macrophage nitric oxide synthesis: some structural considerations.

Since its role in inflammatory diseases was recognized, nitric oxide (NO) has become an important mediator to evaluate anti-inflammatory agents. Sesquiterpene lactones, which occur in several medicinal plants, inhibit the NO production in macrophage-like cells. This action is probably due to a 1,4 addition reaction between its alpha,beta-unsaturated carbonyl group with sulfhydryl (SH)-containing compounds. For this reason it is believed that these compounds are cytotoxic, which restricts their therapeutic use. In this contribution, the ability of the ambrosanolide-type sesquiterpene lactone cumanin (from the Asteraceae Ambrosia psilostachya) to inhibit NO biosynthesis was evaluated in lipopolisaccharide-induced peritoneal murine macrophages and its cytotoxicity was assessed in the MTT assay. Cumanin showed a potent inhibitory effect in NO production (IC(50) = 9.38+/-0.38 microM) with low cytotoxicity. The 1,4-addition reaction of thiols was slow, which does not explain the inhibition of NO production but does explain the low cytotoxicity of cumanin with respect to other lactones.

[Toxicity and hypotensive effect of L-arginine oxoborolidinone and its modulation by methylene blue. Comparison with L-arginine, nitrite, and nitrate]. / Toxicidad y efecto hipotensor de oxoborolidinona de L-arginina y su modulación por azul de metileno. Comparación con L-arginina, nitrito y nitrato.

Nitric oxide is synthesized by constitutive oxide nitric synthase from the guanidine group of L-arginine. L-arginine, oxoborolidinone of L-arginine, nitrite and nitrate showed dose-dependent hypotensive effects after injection via the femoral vein in Wistar rats. The hypotensive effects were shifted to the right after treatment with methylene blue, which is a synthetic phenothiazine inhibitor of guanylate cyclase. Oxoborolidinone of L-arginine had high hypotensive effects with an effective half dose of 10 eta moles kg-1 and of mumoles kg-1 for methylene blue. Methylene blue also attenuated the toxic effects of all the tested compounds.

QSAR, docking, dynamic simulation and quantum mechanics studies to explore the recognition properties of cholinesterase binding sites.

A set of 84 known N-aryl-monosubstituted derivatives (42 amides: series 1 and 2, and 42 imides: series 3 an 4, from maleic and succinic anhydrides, respectively) that display inhibitory activity toward both acetylcholinesterase and butyrylcholinesterase (ChEs) was considered for Quantitative structure-activity relationship (QSAR) studies. These QSAR studies employed docking data from both ChEs that were previously submitted to molecular dynamics (MD) simulations. Donepezil and galanthamine stereoisomers were included to analyze their quantum mechanics properties and for validating the docking procedure. Quantum parameters such as frontier orbital energies, dipole moment, molecular volume, atomic charges, bond length and reactivity parameters were measured, as well as partition coefficients, molar refractivity and polarizability were also analyzed. In order to evaluate the obtained equations, four compounds: 1a (4-oxo-4-(phenylamino)butanoic acid), 2a ((2Z)-4-oxo-4-(phenylamino)but-2-enoic acid), 3a (2-phenylcyclopentane-1,3-dione) and 4a (2-phenylcyclopent-4-ene-1,3-dione) were employed as independent data set, using only equations with r(m(test))²>0.5. It was observed that residual values gave low value in almost all series, excepting in series 1 for compounds 3a and 4a, and in series 4 for compounds 1a, 2a and 3a, giving a low value for 4a. Consequently, equations seems to be specific according to the structure of the evaluated compound, that means, series 1 fits better for compound 1a, series 3 or 4 fits better for compounds 3a or 4a. Same behavior was observed in the butyrylcholinesterase (BChE). Therefore, obtained equations in this QSAR study could be employed to calculate the inhibition constant (Ki) value for compounds having a similar structure as N-aryl derivatives described here. The QSAR study showed that bond lengths, molecular electrostatic potential and frontier orbital energies are important in both ChE targets. Docking studies revealed that despite the multiple conformations obtained through MD simulations on both ChEs, the ligand recognition properties were conserved. In fact, the complex formed between ChEs and the best N-aryl compound reproduced the binding mode experimentally reported, where the ligand was coupled into the choline-binding site and stabilized through π-π interactions with Trp82 or Trp86 for BChE and AChE, respectively, suggesting that this compound could be an efficient inhibitor and supporting our model.

In silico methods to assist drug developers in acetylcholinesterase inhibitor design.

Alzheimer's disease (AD) is a neurodegenerative disease characterized by a low acetylcholine (ACh) concentration in the hippocampus and cortex. ACh is a neurotransmitter hydrolyzed by acetylcholinesterase (AChE). Therefore, it is not surprising that AChE inhibitors (AChEIs) have shown better results in the treatment of AD than any other strategy. To improve the effects of AD, many researchers have focused on designing and testing new AChEIs. One of the principal strategies has been the use of computational methods (structural bioinformatics or in silico methods). In this review, we summarize the in silico methods used to enhance the understanding of AChE, particularly at the binding site, to design new AChEIs. Several computational methods have been used, such as docking approaches, molecular dynamics studies, quantum mechanical studies, electronic properties, hindrance effects, partition coefficients (Log P) and molecular electrostatic potentials surfaces, among other physicochemical methods that exhibit quantitative structure-activity relationships.

Give boron a chance: boron containing compounds reach ionotropic and metabotropic transmembrane receptors.

The ligand-gated ion channels and seven transmembrane domain receptors are the greatest families of transmembrane receptors (TMR) expressed in mammalians and the major target of current available drugs. Recently, boron containing compounds (BCC) have shown capability of acting as ligands on these targets. This mini-review is focused on the description of BCC that target TMR which were evaluated under experimental models. The results in experimental models are related with the theoretical interaction studies of these ligands on the target proteins as 3D-models in order to explore the biological effects of BCC in molecular detail.

Molecular modeling applied to anti-cancer drug development.

In the past, anti-cancer drugs were identified and developed without focusing on a particular macromolecular target. Currently, the fields of molecular biochemistry, molecular biology, genetics and pharmacology, among other disciplines, have grown considerably in their ability to identify biological targets. These disciplines are now searching for specific targets to treat cancer. These targets exist in different cellular compartments (membrane, cytoplasm, nucleus) as proteins, glycoproteins, nucleic acids, etc. Computational tools have recently been used to explore such targets and to corroborate previously obtained experimental data. These methods have also been used to design new drugs with the aim of decreasing illness and the economic resources needed to discover drug candidates. Some of these computational methods include quantum mechanics (ab initio and density functional theories) and molecular mechanics (docking, molecular dynamics, and protein folding). Docking and molecular dynamics are the most commonly used computational tools for elucidating cancer targets. Using these tools, one can identify the recognition processes between ligands and targets at the atomic level. In addition, one can identify the affinity and conformational changes of these molecular complexes. In conclusion, we propose that the use of such tools is necessary in order to identify new anti-cancer drugs.