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Genetic factors that affect variability in metformin response have been poorly studied in the Latin American population, despite its being the initial drug therapy for type 2 diabetes, one of the most prevalent diseases in that region. Metformin pharmacokinetics is carried out by members of the membrane transporters superfamily (SLCs), being the multidrug and toxin extrusion protein 1 (MATE1), one of the most studied. Some genetic variants in MATE1 have been associated with reduced in vitro metformin transport. They include rs77474263 p.[L125F], a variant present at a frequency of 13.8% in Latin Americans, but rare worldwide (less than 1%). Using exome sequence data and TaqMan genotyping, we revealed that the Mexican population has the highest frequency of this variant: 16% in Mestizos and 27% in Amerindians, suggesting a possible Amerindian origin. To elucidate the metformin pharmacogenetics, a children cohort was genotyped, allowing us to describe, for the first time, a MATE1 rs77474263 TT homozygous individual. An additive effect of the L125F variant was observed on blood metformin accumulation, revealing the highest metformin and lactate serum levels in the TT homozygote, and intermediate metformin values in the heterozygotes. Moreover, a molecular dynamics analysis suggested that the genetic variant effect on metformin efflux could be due to a decreased protein permeability. We conclude that pharmacogenetics could be useful in enhancing metformin pharmacovigilance in populations having a high frequency of the risk genotype, especially considering that these populations also have a higher susceptibility to the diseases for which metformin is the first-choice drug., (Copyright © 2021 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)

Background: We investigated pathogenic DYRK1B variants causative of abdominal obesity-metabolic syndrome 3 (AOMS3) in a group of patients originally diagnosed with type 2 diabetes. All DYRK1B exons were analyzed in a sample of 509 unrelated adults with type 2 diabetes and 459 controls, all belonging to the DMS1 SIGMA-cohort (ExAC). We performed in silico analysis on missense variants using Variant Effect Predictor software. To evaluate co-segregation, predicted pathogenic variants were genotyped in other family members. We performed molecular dynamics analysis for the co-segregating variants., Results: After filtering, Mendelian genotypes were confirmed in two probands bearing two novel variants, p.Arg252His and p.Lys68Gln. Both variants co-segregated with the AOMS3 phenotype in classic dominant autosomal inheritance with full penetrance. In silico analysis revealed impairment of the DYRK1B protein function by both variants. For the first time, we describe age-dependent variable expressivity of this entity, with central obesity and insulin resistance apparent in childhood; morbid obesity, severe hypertriglyceridemia, and labile type 2 diabetes appearing before 40 years of age; and hypertension emerging in the fifth decade of life. We also report the two youngest individuals suffering from AOMS3., Conclusions: Monogenic forms of metabolic diseases could be misdiagnosed and should be suspected in families with several affected members and early-onset metabolic phenotypes that are difficult to control. Early diagnostic strategies and medical interventions, even before symptoms or complications appear, could be useful.

The recent pandemic of the coronavirus infectious disease 2019 (COVID-19) has affected around 192 countries, and projections have shown that around 40% to 70% of world population could be infected in the next months. COVID-19 is caused by the virus SARS- CoV-2, it enters the cells through the ACE2 receptor (angiotensin converting enzyme 2). It is well known that SARS-CoV-2 could develop mild, moderate, and severe respiratory symptoms that could lead to death. The virus receptor is expressed in different organs such as the lungs, kidney, intestine, and brain, among others. In the lung could cause pneumonia and severe acute respiratory syndrome (SARS). The brain can be directly affected by cellular damage due to viral invasion, which can lead to an inflammatory response, by the decrease in the enzymatic activity of ACE2 that regulates neuroprotective, neuro-immunomodulatory and neutralizing functions of oxidative stress. Another severe damage is hypoxemia in patients that do not receive adequate respiratory support. The neurological symptoms that the patient presents, will depend on factors that condition the expression of ACE2 in the brain such as age and sex, as well as the mechanism of neuronal invasion, the immune response and the general state of the patient. Clinical and histopathological studies have described neurological alterations in human patients with COVID-19. These conditions could have a possible contribution to the morbidity and mortality caused by this disease and may even represent the onset of neurodegenerative activity in recovered patients., The recent pandemic of the coronavirus infectious disease 2019 (COVID-19) has affected around 192 countries, and projections have shown that around 40% to 70% of world population could be infected in the next months. COVID-19 is caused by the virus SARS- CoV-2, it enters the cells through the ACE2 receptor (angiotensin converting enzyme 2). It is well known that SARS-CoV-2 could develop mild, moderate, and severe respiratory symptoms that could lead to death. The virus receptor is expressed in different organs such as the lungs, kidney, intestine, and brain, among others. In the lung could cause pneumonia and severe acute respiratory syndrome (SARS). The brain can be directly affected by cellular damage due to viral invasion, which can lead to an inflammatory response, by the decrease in the enzymatic activity of ACE2 that regulates neuroprotective, neuro-immunomodulatory and neutralizing functions of oxidative stress. Another severe damage is hypoxemia in patients that do not receive adequate respiratory support. The neurological symptoms that the patient presents, will depend on factors that condition the expression of ACE2 in the brain such as age and sex, as well as the mechanism of neuronal invasion, the immune response and the general state of the patient. Clinical and histopathological studies have described neurological alterations in human patients with COVID-19. These conditions could have a possible contribution to the morbidity and mortality caused by this disease and may even represent the onset of neurodegenerative activity in recovered patients.

Most of the B-cell lymphoma-2 (Bcl-2) protein structure has been elucidated; however, the conformation of its flexible loop domain (FLD) has not yet been experimentally predicted. Its high flexibility under physiological conditions is the reason. FLD behaves as an intrinsically disordered region (IDR) and can adopt regular structures in particular conditions associated with the control of Bcl-2's anti-apoptotic functions. In a previous contribution, we analyzed an engineered Bcl-2 construct (Bcl-2-Δ22Σ3) submitted to 25-ns MD and reported a disordered-to-helix transitions in a region of FLD (rFLD, residues 60-77). However, the conformational preferences in solution of rFLD in the nanosecond to microsecond scale were not analyzed. Herein, an average model was obtained for the native Bcl-2 protein by homology modeling and MD simulation techniques. From this, only the atomic coordinates corresponding to the rFLD were simulated for 1 μs by MD at 310 K. In concordance with previous studies, a disordered-to-helix transitions were exhibited, implying that this "interconversion of folding" in the rFLD suggest a possible set of conformations encoded in its sequence. Principal component analysis (PCA) showed that most of the conformational fluctuation of Bcl-2 is provided by rFLD. Dihedral PCA (dPCA) offered information about all the conformations of rFLD in the μs of the simulation, characterizing a dPCA-based free energy landscape of rFLD, and a conformational ensemble of fast interconverting conformations as other IDRs. Furthermore, despite the conformational heterogeneity of rFLD, the analysis of the dihedral angles (Φ, Ψ) showed that this region does not randomly explore the conformational space in solution.

Aim: It is known that botulinum neurotoxin type A (BoNTA) improves some kinds of cancer (e.g. prostate) and that synaptic vesicle glycoprotein 2 (SV2) is the molecular target of this neurotoxin. Besides having potential therapeutic value, this glycoprotein has recently been proposed as a molecular marker for several types of cancer. Although the mechanisms of cancer development and the improvement found with botulinum treatment are not well understood, the formation of the botulinum-SV2 complex may influence the presence and distribution of SV2 and the function of vesicles. To date, there are no reports on the possible effect of botulinum on breast cancer of unknown causes, which have a great impact on women's health. Thus we determined the presence of SV2 in three breast cancer cell lines and the alterations found with botulinum application., Materials and Methods: With and without adding 10 units of botulinum, SV2 protein expression was determined by optical densitometry in T47D, MDA-MB-231 and MDA-MB-453 cell lines and the distribution of SV2 was observed with immunochemistry (hematoxylin staining)., Results: The SV2 protein was abundant in the cancer cells herein tested, and maximally so in T47D. In all three cancer cell lines botulinum diminished SV2 expression, which was found mostly in the cell periphery., Conclusion: SV2 could be a molecular marker in breast cancer. Its expression and distribution is regulated by botulinum, suggesting an interesting control mechanism for SV2 expression and a possible alternative therapy. Further studies are needed in this sense.

The anti-apoptotic B-cell lymphoma 2 (Bcl-2) protein interacts with several proteins that regulate the apoptotic properties of cells. In this research, we conduct several all-atom molecular dynamics (MD) simulations under high-temperature unfolding conditions, from 400 to 800 K, for 25 ns. These simulations were performed using a model of an engineered Bcl-2 human protein (Bcl-2-Δ22Σ3), which lacks 22 C-terminal residues of the transmembrane domain. The aim of this study is to gain insight into the structural behavior of Bcl-2-Δ22Σ3 by mapping the conformational movements involved in Bcl-2 stability and its biological function. To build a Bcl-2-Δ22Σ3 three-dimensional model, the protein core was built by homology modeling and the flexible loop domain (FLD, residues 33-91) by ab initio methods. Further, the entire protein model was refined by MD simulations. Afterwards, the production MD simulations showed that the FLD at 400 and 500 K has several conformations reaching into the protein core, whereas at 600 K some of the alpha-helices were lost. At 800 K, the Bcl-2 core is destabilized suggesting a possible mechanism for protein unfolding, where the alpha helices 1 and 6 were the most stable, and a reduction in the number of hydrogen bonds initially occurs. In conclusion, the structural changes and the internal protein interactions suggest that the core and the FLD are crucial components of Bcl-2 in its function of regulate ng access to the recognition sites of kinases and caspases.

In the circulatory system, serum albumin (SA) is an important transporter of the majority of molecules with biological activity. We focused the current study on the anti-inflammatory compound, o-alkylselenenylated benzoic acid (ALKSEBEA), to determine its ability to access SA. Herein, we employed experimental procedures (fluorescence studies, Raman spectroscopy) and docking study on SA obtained from the Protein Data Bank and key conformers obtained from molecular dynamics simulations. The results show that ALKSEBEA accesses SA using a cooperative behavior according to fluorescence studies. In addition, the Raman results indicate that the ligand binding affects the backbone constituents. These results were confirmed by docking simulations tested on several SA conformers, which showed that ALKSEBEA bound on several sites on SA via π-π or π-cation interactions and that the ligand reaches other binding sites, where aromatic and basic residues as well as the backbone residues are involved.

The recent occurrence of 2009 influenza A (H1N1) pandemic as well as others has raised concern of a far more dangerous outcome should this virus becomes resistant to current drug therapies. The number of clinical cases that are resistant to oseltamivir (Tamiflu®) is larger than the limited number of neuraminidase (NA) mutations (H275Y, N295S, and I223R) that have been identified at the active site and that are associated to oseltamivir resistance. In this study, we have performed a comparative analysis between a set of NAs that have the most representative mutations located outside the active site. The recently crystallized NA-oseltamivir complex (PDB ID: 3NSS) was used as a wild-type structure. After selecting the target NA sequences, their three-dimensional (3D) structure was built using 3NSS as a template by homology modeling. The 3D NA models were refined by molecular dynamics (MD) simulations. The refined models were used to perform a docking study, using oseltamivir as a ligand. Furthermore, the docking results were refined by free-energy analysis using the MM-PBSA method. The analysis of the MD simulation results showed that the NA models reached convergence during the first 10 ns. Visual inspection and structural measures showed that the mutated NA active sites show structural variations. The docking and MM-PBSA results from the complexes showed different binding modes and free energy values. These results suggest that distant mutations located outside the active site of NA affect its structure and could be considered to be a new source of resistance to oseltamivir, which agrees with reports in the clinical literature., (Copyright © 2012 Wiley Periodicals, Inc.)

We have performed a 4-μs molecular dynamics simulation to investigate the native conformational preferences of the intrinsically disordered kinase-inducible domain (KID) of the transcription factor CREB in solution. There is solid experimental evidence showing that KID does not possess a bound-like structure in solution; however, it has been proposed that coil-to-helix transitions upon binding to its binding partner (CBP) are template-driven. While these studies indicate that IDPs possess a bias towards the bound structure, they do not provide direct evidence on the time-dependent conformational preferences of IDPs in atomic detail. Our simulation captured intrinsic conformational characteristics of KID that are in good agreement with experimental data such as a very small percentage of helical structure in its segment α(B) and structural disorder in solution. We used dihedral principal component analysis dPCA to map the conformations of KID in the microsecond timescale. By using principal components as reaction coordinates, we further constructed dPCA-based free energy landscapes of KID. Analysis of the free energy landscapes showed that KID is best characterized as a conformational ensemble of rapidly interconverting conformations. Interestingly, we found that despite the conformational heterogeneity of the backbone and the absence of substantial secondary structure, KID does not randomly sample the conformational space in solution: analysis of the (Φ, Ψ) dihedral angles showed that several individual residues of KID possess a strong bias toward the helical region of the Ramachandran plot. We suggest that the intrinsic conformational preferences of KID provide a bias toward the folded state without having to populate bound-like conformations before binding. Furthermore, we argue that these conformational preferences do not represent actual structural constraints which drive binding through a single pathway, which allows for specific interactions with multiple binding partners. Based on this evidence, we propose that the backbone conformational preferences of KID provide a thermodynamic advantage for folding and binding without negatively affecting the kinetics of binding. We further discuss the relation of our results to previous studies to rationalize the functional implications of the conformational preferences of IDPs, such as the optimization of structural disorder in protein-protein interactions. This study illustrates the importance in obtaining atomistic information of intrinsically disordered proteins in real time to reveal functional features arising from their complex conformational space.

Epigenetic therapy is an important focus of research for drug development in the treatment of cancer. Valproic acid (VPA) is an HDAC inhibitor that has been evaluated in clinical studies. Despite its success in treating cancer, the mechanism of inhibition of VPA in HDAC is unknown. To this end, we have used docking and molecular dynamic simulations to investigate VPA binding to HDAC, employing both native and rebuilt 3-D structures. The results showed that VPA, via its carboxyl group, coordinates the Zn atom and other local residues (H141-142 and Y360) located at the catalytic site (CS) of HDAC. This causes electrostatic and hydrogen bonding interactions while having little interaction with the hydrophobic side chains, resulting in a low affinity. However, after several docking studies on different native HDAC 3-D structures and after using several snapshots from MD simulations, it became apparent that VPA bound with highest affinity at a site located at the acetyl-releasing channel, termed the hydrophobic active site channel (HASC). The affinity of VPA for HASC was due to its highly hydrophobic properties that allow VPA to take part in van der Waals interactions with Y18, I19, Y20, V25, R37, A38, V41, H42, I135 and W137, while VPA's carboxylate group has several hydrogen bonding interactions with the backbones of S138, I19, N136 and W137. MD simulations showed that the HASC door continuously opened and closed, which affected the affinity of VPA to the HASC, but the affinity toward the HASC was consistently higher than that obtained for the CS, suggesting that the HASC could be involved in the mechanism of inhibition.

Bcl-2 (B-cell lymphoma 2) family proteins have been studied intensively due to their association with cancer and other human diseases. These proteins were originally associated with the regulation of outer mitochondrial membrane integrity and apoptosis. However, there is experimental evidence that suggests that several members of this family play instrumental roles in other cellular pathways including autophagy, endoplasmic reticulum signaling, mitochondrial morphology and synaptic activity among others. Bcl-2 family proteins have been explored using diverse experimental and theoretical methods to obtain structural information that can provide valuable insight for drug development. This review is focused on computational studies related to Bcl-2 family proteins. Different strategies are described and evaluated, such as Molecular Dynamics simulations, docking, and rational drug design with the aim of demonstrating the importance of structural details of either ligands or proteins. The relevance of the knowledge obtained using these tools to drug design is discussed.