Metallo-β-lactamase: Inhibitors and reporter substrates

Metallo-β-lactamases represent an emerging clinical threat due to their ability to render ineffective an entire class of antibiotics. Accordingly, this family of enzymes has been suggested as an attractive target for drug design. Progress toward developing effective inhibitors as well as the development of reporter substrates is reviewed. Inhibitors are classified into six classes and known binding interactions with metallo-β-lactamases are summarized. The development of chromogenic and fluorogenic reporter substrates is also reviewed with respect to current and prospective applications to future inhibitor and diagnostic discovery, mechanistic studies, and biological imaging. Despite progress in molecular probe development, the sequence and structural diversity within the metallo-β-lactamase family continue to present substantial hurdles for rational ligand design.     

Interaction of the C14-OH Group of Adriamycin with DNA Phosphate as Spectroscopically Evidenced

Abstract

Monitoring the band of the antisymmetric stretching vibration of the backbone PO₂ ^? group in DNA-anthracycline complexes demonstrates an extraordinary wavenumber shift for the adriamycin complex compared to that of daunomycin. The structures of both anthracyclines, however, are very closely related and differ only by a surplus hydroxyl group of adriamycin in the C14 position. The wavenumber shift observed for the DNA-adriamycin complex is unequivocally attributed to an additional linkage of the C14-OH of adriamycin to the phosphate group of DNA. Thus, serveral of the hypothetical structural models for the DNA-adriamycin complex for which a hydrogen bond between the C14 hydroxyl of the drug and DNA phosphate was postulated (S. Neidle, Cancer Treatment Rep. 61, 928 (1977); G. J. Quigley et. al., Proc. Natl. Acad Sci. USA 77, 7204 (1980)) get the first clear-cut experimental evidence.     

The Properties of Chondrocyte Membrane Reservoirs and Their Role in Impact-Induced Cell Death

Impact loading of articular cartilage causes extensive chondrocyte death. Cell membranes have a limited elastic range of 3–4% strain but are protected from direct stretch during physiological loading by their membrane reservoir, an intricate pattern of membrane folds. Using a finite-element model, we suggested previously that access to the membrane reservoir is strain-rate-dependent and that during impact loading, the accessible membrane reservoir is drastically decreased, so that strains applied to chondrocytes are directly transferred to cell membranes, which fail when strains exceed 3–4%. However, experimental support for this proposal is lacking. The purpose of this study was to measure the accessible membrane reservoir size for different membrane strain rates using membrane tethering techniques with atomic force microscopy. We conducted atomic force spectroscopy on isolated chondrocytes (n = 87). A micron-sized cantilever was used to extract membrane tethers from cell surfaces at constant pulling rates. Membrane tethers could be identified as force plateaus in the resulting force-displacement curves. Six pulling rates were tested (1, 5, 10, 20, 40, and 80 μm/s). The size of the membrane reservoir, represented by the membrane tether surface areas, decreased exponentially with increasing pulling rates. The current results support our theoretical findings that chondrocytes exposed to impact loading die because of membrane ruptures caused by high tensile membrane strain rates.     

Human cytochromes P450 in health and disease

There are 18 mammalian cytochrome P450 (CYP) families, which encode 57 genes in the human genome. CYP2, CYP3 and CYP4 families contain far more genes than the other 15 families; these three families are also the ones that are dramatically larger in rodent genomes. Most (if not all) genes in the CYP1, CYP2, CYP3 and CYP4 families encode enzymes involved in eicosanoid metabolism and are inducible by various environmental stimuli (i.e. diet, chemical inducers, drugs, pheromones, etc.), whereas the other 14 gene families often have only a single member, and are rarely if ever inducible or redundant. Although the CYP2 and CYP3 families can be regarded as largely redundant and promiscuous, mutations or other defects in one or more genes of the remaining 16 gene families are primarily the ones responsible for P450-specific diseases—confirming these genes are not superfluous or promiscuous but rather are more directly involved in critical life functions. P450-mediated diseases comprise those caused by: aberrant steroidogenesis; defects in fatty acid, cholesterol and bile acid pathways; vitamin D dysregulation and retinoid (as well as putative eicosanoid) dysregulation during fertilization, implantation, embryogenesis, foetogenesis and neonatal development.     

Transfer of Natural Micro Structures to Bionic Lightweight Design Proposals

The abstraction of complex biological lightweight structure features into a producible technical component is a funda- mental step within the transfer of design principles from nature to technical lightweight solutions. A major obstacle for the transfer of natural lightweight structures to technical solutions is their peculiar geometry. Since natural lightweight structures possess irregularities and often have extremely complex forms due to elaborate growth processes, it is usually necessary to simplify their design principles. This step of simplification/abstraction has been used in different biomimetic methods, but so far, it has an arbitrary component, i.e. it crucially depends on the competence of the person who executes the abstraction. This paper describes a new method for abstraction and specialization of natural micro structures for technical lightweight compo- nents. The new method generates stable lightweight design principles by using topology optimization within a design space of preselected biological archetypes such as diatoms or radiolarian. The resulting solutions are adapted to the technical load cases and production processes, can be created in a large variety, and may be further optimized e.g. by using parametric optimization.     

Affective Computing and the Impact of Gender and Age

Affective computing aims at the detection of users’ mental states, in particular, emotions and dispositions during human-computer interactions. Detection can be achieved by measuring multimodal signals, namely, speech, facial expressions and/or psychobiology. Over the past years, one major approach was to identify the best features for each signal using different classification methods. Although this is of high priority, other subject-specific variables should not be neglected. In our study, we analyzed the effect of gender, age, personality and gender roles on the extracted psychobiological features (derived from skin conductance level, facial electromyography and heart rate variability) as well as the influence on the classification results. In an experimental human-computer interaction, five different affective states with picture material from the International Affective Picture System and ULM pictures were induced. A total of 127 subjects participated in the study. Among all potentially influencing variables (gender has been reported to be influential), age was the only variable that correlated significantly with psychobiological responses. In summary, the conducted classification processes resulted in 20% classification accuracy differences according to age and gender, especially when comparing the neutral condition with four other affective states. We suggest taking age and gender specifically into account for future studies in affective computing, as these may lead to an improvement of emotion recognition accuracy.