This work details recent advances in the science of estrogen receptor (ER) modulation, with emphasis on the discovery of novel ligands for the ER ligand binding domain (LBD). A detailed examination of structural studies of the ERs is presented with analysis of the impact of such works on contemporary ligand design and the molecular pharmacology of the ER. The various classes of ER modulators are discussed on the basis of stuctural similarities including selective estrogen receptor modulators (SERMs) and 'pure' non-steroidal antiestrogens. Additionally we review the emergence of a novel selective class of modulator which we have termed the selective estrogen receptor subtype modulators (SERSMs) and, in a departure from LBD strategies we examine the discovery of novel peptide inhibitors of the ER which inhibit transcriptional activiation of agonist liganded receptor through interaction with coactivator recruitment proteins, and offer unique insight to the mechanism of action of all classes of ER modulators. Through examination of patent and classical literature we present a thorough and informative cross-section of the contemporary state of the art in this exciting field of pharmaceutical research.
Joint tissue mechanics (e.g., stress and strain) are believed to have a major involvement in the onset and progression of musculoskeletal disorders, e.g., knee osteoarthritis (KOA). Accordingly, considerable efforts have been made to develop musculoskeletal finite element (MS-FE) models to estimate highly-detailed tissue mechanics that predict cartilage degeneration. However, creating such models is time-consuming and requires advanced expertise. This limits these complex, yet promising MS-FE models to research applications with few participants and making the models impractical for clinical assessments. Also, these previously developed MS-FE models are not assessed for any activities other than the gait. This study introduces and validates a semi-automated rapid state-of-the-art MS-FE modeling and simulation toolbox incorporating an electromyography (EMG) assisted MS model and a muscle-force driven FE model of the knee with fibril-reinforced poro(visco)elastic cartilages and menisci. To showcase the usability of the pipeline, we estimated joint- and tissue-level knee mechanics in 15 KOA individuals performing different daily activities. The pipeline was validated by comparing the estimated muscle activations and joint mechanics to existing experimental data. Also, to examine the importance of EMG-assisted MS analyses, results were compared against outputs from the same FE models but driven by static-optimization-based MS models. The EMG-assisted MS-FE pipeline bore a closer resemblance to experiments, compared to the static-optimization-based MS-FE pipeline. More importantly, the developed pipeline showed great potentials as a rapid MS-FE analysis toolbox to investigate multiscale knee mechanics during different activities of individuals with KOA.
In a recent quantitative neuroimaging study, the authors reported significant reduction in the gray matter volume of both temporal lobes of schizophrenic (SC) patients. In order to better elucidate the nature of this finding (i.e., diffuse vs. focal), we analyzed the shape of the temporal lobes of 17 SC patients and an equal number of age-sex matched controls. Our shape analysis was able to discriminate between a significant number of SC and control patients based on the Fourier harmonic amplitudes of both the middle and posterior levels of the temporal lobes. These results are consistent with bilateral focal or multifocal distortions of the temporal lobes of SC patients. A similar shape analysis of the prefrontal lobes showed no significant conformational differences between the groups. The basis of this quantitative shape analysis (the Fourier expansion series) and the method by which it can be applied are explained in detail.
Summary. Allocation strategies in which a limited resource is apportioned among alternative activities are applicable to diverse structural, geneticat and behavioral topics, including male versus female investments. In a model of sex allocation strategies, the absolute fitnesses of individuals are calculated by summing the production of male and female gametes or offspring, each weighted by its reproductive value. The ESS is obtained by examining the fitness advantage of one phenotype over another. An analogous method is used to obtain a general model of allocation strategies that incorporates some widespread features. Allocation strategies are affected by the sizes and shapes of the reward curves, stochastic factors, and constraints on the allocations permitted. A number of parallels among diverse types of allocation strategies, including the occurrence of fixed, conditional and mixed strategies, and matching rules, are discussed.
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