Mast cells are multifunctional bone marrowderived cells found in mucosal and connective tissues and in the nervous system, where they play-important roles in tissue inflammation and in neuroimmune interactions. Very

Mast cells and nerve growth factor (NGF) have both been reported to be involved in neuroimmune interactions and tissue inflammation. In many peripheral tissues, mast cells interact with the innervating fibers. Changes in the behaviors of both of these elements occur after tissue injury/inflammation. As such conditions are typically associated with rapid mast cell activation and NGF accumulation in inflammatory exudates, we hypothesized that mast cells may be capable of producing NGF. Here we report that (i) NGF mRNA is expressed in adult rat peritoneal mast cells; (ii) anti-NGF antibodies clearly stain vesicular compartments of purified mast cells and mast cells in histological sections of adult rodent mesenchymal tissues; and (iii) medium conditioned by peritoneal mast cells contains biologically active NGF. Mast cells thus represent a newly recognized source of NGF. The known actions of NGF on peripheral nerve fibers and immune cells suggest that mast cell-derived NGF may control adaptive/reactive responses of the nervous and immune systems toward noxious tissue perturbations. Conversely, alterations in normal mast cell behaviors may provoke maladaptive neuroimmune tissue responses whose consequences could have profound implications in inflammatory disease states, including those of an autoimmune nature.

The amino acid L-glutamate is a neurotransmitter that mediates

Omic techniques have become key tools in the development of systems biology. As the holistic approaches underlying the practice of traditional Chinese medicine (TCM) and new tendencies in Western medicine towards personalised medicine require in-depth knowledge of mechanisms of action and active compounds, the use of omic techniques is crucial for understanding and interpretation of TCM development, especially in view of its expansion in Western countries. In this short review, omic applications in TCM research are reviewed which has allowed some speculation regarding future perspectives for these approaches in TCM modernisation and standardisation. Guidelines for good practice for the application of omics in TCM research are also proposed.

Acetylcholinesterase (AChE) inhibitors are one of the most actively investigated classes of compounds in the search for an effective treatment of Alzheimer's disease. This work describes the synthesis, AChE inhibitory activity, and structure-activity relationships of some compounds related to a recently discovered series of AChE inhibitors: the omega-[N-methyl-N-(3-alkylcarbamoyloxyphenyl)methyl]aminoalkoxy xanthen-9-ones. The influence of structural variations on the inhibitory potency was carefully investigated by modifying different parts of the parent molecule, and a theoretical model of the binding of one representative compound to the enzyme was developed. The biological properties of the series were investigated in some detail by considering not only the activity on isolated enzyme but the selectivity with respect to butyrylcholinesterase (BuChE) and the in vitro inhibitory activity on rat cerebral cortex as well. Some of the newly synthesized derivatives, when tested on isolated and/or AChE-enriched rat brain cortex fraction, displayed a selective inhibitory activity and were more active than physostigmine. In particular, compound 13, an azaxanthone derivative, displayed the best rat cortex AChE inhibition (190-fold higher than physostigmine), as well as a high degree of enzyme selectivity (over 60-fold more selective for AChE than for BuChE). When tested in the isolated enzyme, compound 13 was less active, suggesting some differences either in drug availability/biotransformation or in the inhibitor-sensitive residues of the enzyme when biologically positioned in rat brain membranes.

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The available databases that catalogue information on traditional Chinese medicines are reviewed in terms of their content and utility for in-silico research on Chinese herbal medicines, as too are the various protein database resources, and the software available for use in such studies. The software available for bioinformatics and 'omics studies of Chinese herbal medicines are summarised, and a critical evaluation given of the various in-silico methods applied in screening Chinese herbal medicines, including classification trees, neural networks, support vector machines, docking and inverse docking algorithms. Recommendations are made regarding any future in-silico studies of Chinese herbal medicines.

General anesthesia in animal experiments is an ethical must and is required for all the procedures that are likely to cause more than slight or momentary pain. As anesthetics are known to deeply affect experimental findings, including electrophysiological recordings of brain activity, understanding their mechanism of action is of paramount importance. It is widely recognized that the depth and type of anesthesia introduce significant bias in electrophysiological measurements by affecting the shape of both spontaneous and evoked signals, e.g., modifying their latency and relative amplitude. Therefore, for a given experimental protocol, it is relevant to identify the appropriate anesthetic, to minimize the impact on neuronal circuits and related signals under investigation. This review focuses on the effect of different anesthetics on cortical electrical recordings, examining their molecular mechanisms of action, their influence on neuronal microcircuits and, consequently, their impact on cortical measurements.