Obesity is emerging as a global health problem, with more than one-third of the world’s adult population being overweight or obese. In this study, we investigated worldwide population differentiation in allele frequencies of obesity-associated SNPs (single nucleotide polymorphisms). We collected a total of 225 obesity-associated SNPs from a public database. Their population-level allele frequencies were derived based on the genotype data from 1000 Genomes Project (phase 3). We used hypergeometric model to assess whether the effect allele at a given SNP is significantly enriched or depleted in each of the 26 populations surveyed in the 1000 Genomes Project with respect to the overall pooled population. Our results indicate that 195 out of 225 SNPs (86.7%) possess effect alleles significantly enriched or depleted in at least one of the 26 populations. Populations within the same continental group exhibit similar allele enrichment/depletion patterns whereas inter-continental populations show distinct patterns. Among the 225 SNPs, 15 SNPs cluster in the first intron region of the FTO gene, which is a major gene associated with body-mass index (BMI) and fat mass. African populations exhibit much smaller blocks of LD (linkage disequilibrium) among these15 SNPs while European and Asian populations have larger blocks. To estimate the cumulative effect of all variants associated with obesity, we developed the personal composite genetic risk score for obesity. Our results indicate that the East Asian populations have the lowest averages of the composite risk scores, whereas three European populations have the highest averages. In addition, the population-level average of composite genetic risk scores is significantly correlated (R2 = 0.35, P = 0.0060) with obesity prevalence. We have detected substantial population differentiation in allele frequencies of obesity-associated SNPs. The results will help elucidate the genetic basis which may contribute to population disparities in obesity prevalence.

Molecular dynamics (MD) simulations were used to investigate the binding of four ligands to the Val122Ile mutant of the protein transthyretin. Dissociation, misfolding, and subsequent aggregation of mutated transthyretin proteins are associated with the disease Familial Amyloidal Cardiomyopathy. The ligands investigated were the drug candidate AG10 and its decarboxy and N-methyl derivatives along with the drug tafamidis. These ligands bound to the receptor in two halogen binding pockets (HBP) designated AB and A'B'. Inter-ligand distances, solvent accessible surface areas, root mean squared deviation measurements, and extracted structures showed very little change in the AG10 ligands' conformations or locations within the HBP during the MD simulation. In addition, the AG10 ligands experienced stable, two-point interactions with the protein by forming hydrogen bonds with Ser-117 residues in both the AB and A'B' binding pockets and Lysine-15 residues found near the surface of the receptor. Distance measurements showed these H-bonds formed simultaneously during the MD simulation. Removal of the AG10 carboxylate functional group to form decarboxy-AG10 disrupted this two-point interaction causing the ligand in the AB pocket to undergo a conformational change during the MD simulation. Likewise, addition of a methyl group to the AG10 hydrazone functional group also disrupted the two-point interaction by decreasing hydrogen bonding interactions with the receptor. Finally, MD simulations showed that the tafamidis ligands experienced fewer hydrogen bonding interactions than AG10 with the protein receptor. The tafamidis ligand in pocket A'B' was also found to move deeper into the HBP during the MD simulation.

Molecular dynamics simulations and NMR spectroscopy were used to compare the binding of two β-blocker drugs to the chiral molecular micelle poly-(sodium undecyl-(L)-leucine-valine). The molecular micelle is used as a chiral selector in capillary electrophoresis. This study is part of a larger effort to understand the mechanism of chiral recognition in capillary electrophoresis by characterizing the molecular micelle binding of chiral compounds with different geometries and charges. Propranolol and atenolol were chosen because their structures are similar, but their chiral interactions with the molecular micelle are different. Molecular dynamics simulations showed both propranolol enantiomers inserted their aromatic rings into the molecular micelle core and that (S)-propranolol associated more strongly with the molecular micelle than (R)-propranolol. This difference was attributed to stronger molecular micelle hydrogen bonding interactions experienced by (S)-propranolol. Atenolol enantiomers were found to bind near the molecular micelle surface and to have similar molecular micelle binding free energies.

Molecular dynamics simulations were used to characterize the binding of the chiral drugs chlorthalidone and lorazepam to the molecular micelle poly-(sodium undecyl-(L)-leucine-valine). The project’s goal was to characterize the nature of chiral recognition in capillary electrophoresis separations that use molecular micelles as the chiral selector. The shapes and charge distributions of the chiral molecules investigated, their orientations within the molecular micelle chiral binding pockets, and the formation of stereoselective intermolecular hydrogen bonds with the molecular micelle were all found to play key roles in determining where and how lorazepam and chlorthalidone enantiomers interacted with the molecular micelle. GRAPHICAL ABSTRACT