title: Role of Heterogeneous Macromolecular Crowding and Geometrical Irregularity at Central Excitatory Synapses in Shaping Synaptic Transmission.
abstract: Besides the geometrical tortousity due to the extrasynaptic structures, macromolecular crowding and geometrical irregularities constituting the cleft composition at central excitatory synapses has a major and direct role in retarding the glutamate diffusion within the cleft space. However, the cleft composition may not only coarsely reduce the overall diffusivity of the glutamate but may also lead to substantial spatial variation in the diffusivity across the cleft space. Decrease in the overall diffusivity of the glutamate may have straightforward consequences to the glutamate transients in the cleft. However, how spatial variation in the diffusivity may further affect glutamate transients is an intriguing aspect. Therefore, to understand the role of cleft heterogeneity, the present study adopts a novel approach of glutamate diffusion which considers a gamma statistical distribution of the diffusion coefficient of glutamate (Dglut) across the cleft space, such that its moments discernibly capture the dual impacts of the cleft composition, and further applies the framework of superstatistics. The findings reveal a power law behavior in the glutamate transients, akin to the long-range anomalous subdiffusion, which leads to slower decay profile of cleft glutamate at higher intensity of cleft heterogeneity. Moreover, increase in the cleft heterogeneity is seen to eventually cause slower-rising excitatory postsynaptic currents with higher amplitudes, lesser noise, and prolonged duration of charge transfer across the postsynaptic membrane. Further, with regard to the conventional standard diffusion approach, the study suggests that the effective Dglut essentially derives from the median of the Dglut distribution and does not necessarily need to be the mean Dglut. Together, the findings indicate a strong implication of cleft heterogeneity to the metabolically cost-effective tuning of synaptic response during the phenomenon of plasticity at individual synapses and also provide an additional factor of variability in transmission across identical synapses.
authors.affiliation: School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India 110067.
authors.forename: Rahul
authors.initials: R
authors.lastname: Gupta
authors.affiliation: School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India 110067.
authors.forename: Melissa
authors.initials: M
authors.lastname: Reneaux
authors.affiliation: School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India 110067.|School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India 110067.
authors.lastname: Karmeshu
mesh_terms: D000465:Algorithms; D056547:CA1 Region, Hippocampal / Q000502:physiology; D002490:Central Nervous System / Q000502:physiology; D019706:Excitatory Postsynaptic Potentials; D018698:Glutamic Acid / Q000378:metabolism; D015233:Models, Statistical; D009473:Neuronal Plasticity; D018377:Neurotransmitter Agents / Q000378:metabolism; D017966:Pyramidal Cells / Q000502:physiology; D018091:Receptors, AMPA / Q000378:metabolism; D013569:Synapses / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology*
chemical_list: D018377:Neurotransmitter Agents; D018091:Receptors, AMPA; D018698:Glutamic Acid