A Role for Non-Antimicrobial Actions of Tetracyclines in Combating Oxidative Stress in Periodontal and Metabolic Diseases: A Literature Review

This review addresses the role of adjunctive tetracycline therapy in the management of periodontal diseases and its efficacy in reducing inflammatory burden, oxidative stress and its sequelae in patients with coexisting features of metabolic syndrome. Removal of the dimethylamine group at C4 of the tetracycline molecule reduces its antibiotic properties, enhancing its non-antimicrobial actions; this strategy has aided the development of several chemically modified tetracyclines such as minocycline and doxycycline, by altering different regions of the molecule for focused action on biological targets. Tetracyclines are effective in reducing inflammation by inhibiting matrix metalloproteinases, preventing excessive angiogenesis, inhibiting apoptosis and stimulating bone formation. There are important applications for tetracyclines in the management of diabetic, dyslipidaemic periodontal patients who smoke. The diverse mechanisms of action of tetracyclines in overcoming oxidative stress and enhancing matrix synthesis are discussed in this review

Reduced conditioned fear response in mice that lack Dlx1 and show subtype-specific loss of interneurons

The inhibitory GABAergic system has been implicated in multiple neuropsychiatric diseases such as schizophrenia and autism. The Dlx homeobox transcription factor family is essential for development and function of GABAergic interneurons. Mice lacking the Dlx1 gene have postnatal subtype-specific loss of interneurons and reduced IPSCs in their cortex and hippocampus. To ascertain consequences of these changes in the GABAergic system, we performed a battery of behavioral assays on the Dlx1 mutant mice, including zero maze, open field, locomotor activity, food intake, rotarod, tail suspension, fear conditioning assays (context and trace), prepulse inhibition, and working memory related tasks (spontaneous alteration task and spatial working memory task). Dlx1 mutant mice displayed elevated activity levels in open field, locomotor activity, and tail suspension tests. These mice also showed deficits in contextual and trace fear conditioning, and possibly in prepulse inhibition. Their learning deficits were not global, as the mutant mice did not differ from the wild-type controls in tests of working memory. Our findings demonstrate a critical role for the Dlx1 gene, and likely the subclasses of interneurons that are affected by the lack of this gene, in behavioral inhibition and associative fear learning. These observations support the involvement of particular components of the GABAergic system in specific behavioral phenotypes related to complex neuropsychiatric diseases

Origin of an Alternative Genetic Code in the Extremely Small and GC–Rich Genome of a Bacterial Symbiont

The genetic code relates nucleotide sequence to amino acid sequence and is shared across all organisms, with the rare exceptions of lineages in which one or a few codons have acquired novel assignments. Recoding of UGA from stop to tryptophan has evolved independently in certain reduced bacterial genomes, including those of the mycoplasmas and some mitochondria. Small genomes typically exhibit low guanine plus cytosine (GC) content, and this bias in base composition has been proposed to drive UGA Stop to Tryptophan (Stop→Trp) recoding. Using a combination of genome sequencing and high-throughput proteomics, we show that an α-Proteobacterial symbiont of cicadas has the unprecedented combination of an extremely small genome (144 kb), a GC–biased base composition (58.4%), and a coding reassignment of UGA Stop→Trp. Although it is not clear why this tiny genome lacks the low GC content typical of other small bacterial genomes, these observations support a role of genome reduction rather than base composition as a driver of codon reassignment

The antidepressant-sensitive dopamine transporter in Drosophila melanogaster: A primordial carrier for catecholamines

Extracellular concentrations of monoamine neurotransmitters are regulated by a family of high-affinity transporters that are the molecular targets for such psychoactive drugs as cocaine, amphetamines, and therapeutic antidepressants. In Drosophila melanogaster, cocaine-induced behaviors show striking similarities to those induced in vertebrate animal models. Although a cocaine-sensitive serotonin carrier exists in flies, there has been no pharmacological or molecular evidence to support the presence of distinct carrier subtypes for other bioactive monoamines. Here we report the cloning and characterization of a cocaine-sensitive fly dopamine transporter (dDAT). In situ hybridization demonstrates that dDAT mRNA expression is restricted to dopaminergic cells in the fly nervous system. The substrate selectivity of dDAT parallels that of the mammalian DATs in that dopamine and tyramine are the preferred substrates, whereas octopamine is transported less efficiently, and serotonin not at all. In contrast, dDAT inhibitors display a rank order of potency most closely resembling that of mammalian norepinephrine transporters. Cocaine has a moderately high affinity to the cloned dDAT (IC50 = 2.6 muM). Voltage-clamp analysis of dDAT expressed in Xenopus laevis oocytes indicates that dDAT-mediated uptake is electrogenic; however, dDAT seems to lack the constitutive leak conductance that is characteristic of the mammalian catecholamine transporters. The combination of a DAT-like substrate selectivity and norepinephrine transporter-like inhibitor pharmacology within a single carrier, and results from phylogenetic analyses, suggest that dDAT represents an ancestral catecholamine transporter gene. The identification of a cocaine-sensitive target linked to dopaminergic neurotransmission in D. melanogaster will serve as a basis for further dissection of the genetic components of psychostimulant-mediated behavior.X11113sciescopu

Investigating the Dynamic Decision Mechanisms of Users’ Relevance Judgment for Information Retrieval via Log Analysis

Measuring relevance of documents with respect to a user’s query is at the heart of information retrieval (IR), where the user’s relevance judgment criteria have been recognized as multi-dimensional. A set of relevance dimensions that are considered as critical factors in document relevance judgment have been investigated, such as topicality, novelty, and reliability. However, most existing work focuses on individual relevance dimensions, yet neglecting how different dimensions would interact with each other to influence the overall relevance judgment in real-world search scenarios. This paper aims at an initial step to fill the gap. Specifically, we divide 7 relevance dimensions in an enriched Multidimensional User Relevance Model (MURM) into three categories according to three main requirements for document relevance, i.e., document content requirement, document quality requirement and personalization requirement. We then exploit the Learning to Rank framework to conduct document ranking experiments on a query log dataset from a prominent search engine. The experimental results indicate the existence of an order effect between different dimensions, and suggest that considering different dimensions across categories in different orders for document relevance judgment could lead to distinct search results. Our findings provide valuable insights to build more intelligent and user-centric information retrieval systems, and potentially benefit other natural language processing tasks that involve decision making from multiple perspectives