An investigation into the effective role of astrocyte in the hippocampus pattern separation process: A computational modeling study.

A physiologically realistic three layer neuron-astrocyte network model is used to evaluate the biological mechanism in pattern separation. The innovative feature of the model is the use of a combination of three elements: neuron, interneuron and astrocyte. In the input layer, a pyramidal neuron receives input patterns from stimulus current, while in the middle layer there are two pyramidal neurons coupled with two inhibitory interneurons and an astrocyte. Finally, in the third layer, a pyramidal neuron produces the output of the model by integrating the output of two neurons from the middle layer resulting from inhibitory and excitatory connections among neurons, interneurons and the astrocyte. Results of computer simulations show that the neuron-astrocyte network within the hippocampal dentate gyrus can generate diverse, complex and different output patterns to given inputs. It is concluded that astrocytes within the dentate gyrus play an important role in the pattern separation process.

Tailoring synthetic polymeric biomaterials towards nerve tissue engineering: a review.

The nervous system is known as a crucial part of the body and derangement in this system can cause potentially lethal consequences or serious side effects. Unfortunately, the nervous system is unable to rehabilitate damaged regions following seriously debilitating disorders such as stroke, spinal cord injury and brain trauma which, in turn, lead to the reduction of quality of life for the patient. Major challenges in restoring the damaged nervous system are low regenerative capacity and the complexity of physiology system. Synthetic polymeric biomaterials with outstanding properties such as excellent biocompatibility and non-immunogenicity find a wide range of applications in biomedical fields especially neural implants and nerve tissue engineering scaffolds. Despite these advancements, tailoring polymeric biomaterials for design of a desired scaffold is fundamental issue that needs tremendous attention to promote the therapeutic benefits and minimize adverse effects. This review aims to (i) describe the nervous system and related injuries. Then, (ii) nerve tissue engineering strategies are discussed and (iii) physiochemical properties of synthetic polymeric biomaterials systematically highlighted. Moreover, tailoring synthetic polymeric biomaterials for nerve tissue engineering is reviewed.

Mechanisms of hippocampal astrocytes mediation of spatial memory and theta rhythm by gliotransmitters and growth factors.

Our knowledge about encoding and maintenance of spatial memory emphasizes the integrated functional role of the grid cells and the place cells of the hippocampus in the generation of theta rhythm in spatial memory formation. However, the role of astrocytes in these processes is often underestimated in their contribution to the required structural and functional characteristics of hippocampal neural network operative in spatial memory. We show that hippocampal astrocytes, by the secretion of gliotransmitters, such as glutamate, d-serine, and ATP and growth factors such as BDNF and by the expression of receptors and channels such as those of TNFα and aquaporin, have several diverse fuctions in spatial memory. We specifically focus on the role of astrocytes on five phases of spatial memory: (1) theta rhythm generation, (2) theta phase precession, (3) formation of spatial memory by mapping data of entorhinal grid cells into the place cells, (4) storage of spatial information, and (5) maintenance of spatial memory. Finally, by reviewing the literature, we propose specific mechanisms mentioned in the form of a hypothesis suggesting that astrocytes are important in spatial memory formation.

New role for astroglia in learning: formation of muscle memory.

Muscle memory can be described as gradual adaptation of muscles over a period of time to perform a new movement or action. Its precise mechanism is unknown; however, it is now known that when a motor skill is learned it leads to significant brain activity. Astrocytes are the most abundant glial cell types in the CNS that play an associative active role with neurons in learning and memory. They are interconnected to neurons via gap junctions forming astroglial network for fast communication and synchronization. We hypothesize that astroglial cells play main role in the formation of muscle memory and evaluate it by the experimental evidence published so far that indicates role of astroglia on various cellular and molecular aspects of muscle memory. The basis of our hypothesis is the fact that during training or motor learning period, neuronal output data related to learning lead to certain specific pattern for stimulating target muscles over a period of time and partly these data are stored in astroglial network. This stored data fine tune glial parameters that affect synaptic space and neuronal output used to perform rapid motor actions. For the validation of our hypothesis, we have generated a computational model for a section of neural pathway with astroglial network and have shown that the astroglial network by using inhibitory and stimulatory neurotransmitters can generate certain patterns, modulate and balance synaptic space across the neural pathway during acquisition of muscle memory.