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King, E. S.

Publications and source records attributed to King, E. S..

6 recordsLinked to original sources

Chronic subthreshold intermittent theta burst stimulation promotes structural axon initial segment plasticity in cortical neurons

Repetitive transcranial magnetic stimulation (rTMS) is used widely in neuroscience to study and alter neural plasticity. The cellular mechanisms underlying the effect of rTMS on the brain remain unclear but is primarily thought to act via activity-dependent synaptic plasticity mechanisms. Here we investigated whether chronic repetitive magnetic stimulation in vitro and in vivo can induce another form of activity-dependent neural plasticity, axon initial segment (AIS) plasticity. Cortical neurons isolated from postnatal wild-type mice were stimulated with 6 hours of sham, repetitive magnetic stimulation in the form of intermittent theta-burst stimulation (iTBS), or 15 mM potassium chloride, with changes to AIS location and length measured +0 hours and +24 hours post-stimulation. In addition, adult transgenic mice expressing green fluorescent protein at the AIS received daily sham or iTBS over the primary motor cortices for 7 consecutive days and processed for microscopy 3 hours after the last stimulation. Analysis of neurons stimulated in vitro showed that chronic iTBS caused bidirectional and time-dependent shifts to the AIS position relative to the soma and a delayed shortening of the AIS length at +24 hours. In the adult mice, 7 consecutive days of daily iTBS decreased AIS lengths in layers 2/3 and 5 pyramidal neurons. Our findings provide in vitro and in vivo evidence that rTMS induces neuronal plasticity outside of the synapse, which may contribute to the long-lasting effect of rTMS on the brain with repeated stimulation protocols.

neuroscience↗

Characterisation of the axon initial segment and intrinsic excitability in the sub-acute phase post-ischemic stroke

BackgroundStroke is a leading cause of disability and stroke-induced changes in cortical excitability are thought to impede functional recovery. Identifying cellular targets that contribute to maladaptive excitability holds great potential for the development of therapeutic interventions to improve stroke outcomes. One potential target is the axon initial segment (AIS), the specialised cellular domain where action potentials are initiated. In the acute phase post stroke, neurons in the peri-infarct zone display abnormal AIS structural properties which is assumed to contribute to altered neuronal excitability. However, whether this continues into the sub-acute phase post stroke, a period with heightened plasticity and when physical rehabilitation typically begins is unknown. MethodsWe induced a photothrombotic ischemic stroke to the right motor cortex of 13-week-old mice alongside adeno-associated virus labelling of layer 2/3 and layer 5 pyramidal neurons in the peri-infarct zone and contralesional motor cortex. Immunofluorescence staining for Ankyrin-G and whole-cell patch clamp electrophysiology measures were made at 28-days post stroke to assess changes in AIS structure and function. Additionally, we investigated potential hemispheric-, cortical layer-, and sex-dependent differences in AIS and intrinsic excitability properties. ResultsWe found that normal AIS structure and function are preserved in the sub-acute phase post ischemic stroke. However, we found evidence of reduced input resistance across both hemispheres and reduced evoked spike firing frequency in the peri-infarct zone in both sexes. In addition, we found stroke reduced the evoked spike firing frequencies in the contralesional hemisphere, but only in males. ConclusionDespite the preservation of normal AIS structure and function in the sub-acute phase post ischemic stroke, cortical pyramidal neuron excitability is reduced through other intrinsic membrane mechanisms. Additionally, we show that changes to neuronal excitability spread to the contralesional hemisphere in males. These findings provide novel insight into the maladaptive changes to neural excitability in the sub-acute phase of ischemic stroke and further highlight the need to develop sex-specific stroke treatments.

neuroscience↗

A low-footprint, fluorescence-based bacterial time-kill assay for estimating dose-dependent cell death dynamics

Dose-response curves that describe the relationship between antibiotic dose and growth rate in bacteria are commonly measured with optical density (OD) based assays. While being simple and high-throughput, any dose-dependent cell death dynamics are obscured, as OD assays in batch culture can only quantify a positive net change in cells. Time-kill experiments can be used to quantify cell death rates, but current techniques are extremely resource-intensive and may be biased by residual drug carried over into the quantification assay. Here, we report a novel, fluorescence-based time-kill assay leveraging resazurin as a viable cell count indicator. Our method improves upon previous techniques by greatly reducing the material cost and being robust to residual drug carry-over. We demonstrate our technique by quantifying a dose-response curve in Escherichia coli subject to cefotaxime, revealing dose-dependent death rates. We also show that our method is robust to extracellular debris and cell aggregation. Dose-response curves quantified with our method may provide a more accurate description of pathogen response to therapy, paving the way for more accurate integrated pharmacodynamic-pharmacokinetic studies.

microbiology↗

Fitness seascapes promote genetic heterogeneity through spatiotemporally distinct mutant selection windows

Mutant selection windows (MSWs), the range of drug concentrations that select for drug-resistant mutants, have long been used as a model for predicting drug resistance and designing optimal dosing strategies in infectious disease. The canonical MSW model offers comparisons between two subtypes at a time: drug-sensitive and drug-resistant. In contrast, the fitness landscape model with N alleles, which maps genotype to fitness, allows comparisons between N genotypes simultaneously, but does not encode continuous drug response data. In clinical settings, there may be a wide range of drug concentrations selecting for a variety of genotypes. Therefore, there is a need for a more robust model of the pathogen response to therapy to predict resistance and design new therapeutic approaches. Fitness seascapes, which model genotype-by-environment interactions, permit multiple MSW comparisons simultaneously by encoding genotype-specific dose-response data. By comparing dose-response curves, one can visualize the range of drug concentrations where one genotype is selected over another. In this work, we show how N-allele fitness seascapes allow for N *2N-1 unique MSW comparisons. In spatial drug diffusion models, we demonstrate how fitness seascapes reveal spatially heterogeneous MSWs, extending the MSW model to more accurately reflect the selection fo drug resistant genotypes. Furthermore, we find that the spatial structure of MSWs shapes the evolution of drug resistance in an agent-based model. Our work highlights the importance and utility of considering dose-dependent fitness seascapes in evolutionary medicine. Author SummaryDrug resistance in infectious disease and cancer is a major driver of mortality. While undergoing treatment, the population of cells in a tumor or infection may evolve the ability to grow despite the use of previously effective drugs. Researchers hypothesize that the spatial organization of these disease populations may contribute to drug resistance. In this work, we analyze how spatial gradients of drug concentration impact the evolution of drug resistance. We consider a decades-old model called the mutant selection window (MSW), which describes the drug concentration range that selects for drug-resistant cells. We show how extending this model with continuous dose-response data, which describes how different types of cells respond to drug, improves the ability of MSWs to predict evolution. This work helps us understand how the spatial organization of cells, such as the organization of blood vessels within a tumor, may promote drug resistance. In the future, we may use these methods to optimize drug dosing to prevent resistance or leverage known vulnerabilities of drug-resistant cells.

evolutionary biology↗

Fitness seascapes facilitate the prediction of therapy resistance under time-varying selection

Pharmacokinetic (PK) and pharmacodynamic (PD) modeling of host-pathogen interactions has enhanced our understanding of drug resistance. However, how combinations of drug resistance mutations impact dose-response curves remains underappreciated in PK-PD studies. The fitness seascape model addresses this by extending the fitness landscape model to map genotypes to dose-response functions, enabling the study of evolution under fluctuating drug concentrations. Here, we present an empirical fitness seascape in E. coli harboring all combinations of four drug resistance mutations. Incorporating these data into PK-PD simulations of antibiotic treatment, we find that higher mutation supply increases the probability of resistance, and early adherence to the drug regimen is critical. In vitro studies further support the finding that the second dose in a drug regimen is important for preventing resistance. This work represents the first application of an empirical fitness seascape in computational PK-PD studies, revealing novel insights into drug resistance.

evolutionary biology↗

Static magnetic stimulation induces structural plasticity at the axon initial segment of inhibitory cortical neurons

Static magnetic stimulation (SMS) is a form of non-invasive brain stimulation that can alter neural activity and induce neural plasticity that outlasts the period of stimulation. While SMS is typically delivered for short periods (e.g., 10 minutes) to alter corticospinal excitability or motor behaviours, the plasticity mechanisms that can be induced with longer periods of stimulation have not been explored. In mammalian neurons, the axon initial segment (AIS) is the site of action potential initiation and undergoes structural plasticity as a homeostatic mechanism to counteract chronic changes in neuronal activity. Therefore, we investigated whether the chronic application of SMS would induce structural AIS plasticity in cortical neurons. SMS (0.5 Tesla in intensity) was delivered to postnatally derived mouse primary cortical neurons consisting of mainly inhibitory neurons, for 6 or 48 hours beginning from 7 days in vitro (DIV7). AIS structural plasticity (length and starting distance from the soma) was quantified immediately after and 24 hours post-stimulation. Following 6 hours of stimulation, we observed an immediate decrease in median AIS length compared to control, that persisted to 24 hours post stimulation. In addition, there was a distal shift in the AIS start position relative to the soma that was only observed 24 hours after the 6-hour stimulation. Following 48 hours of stimulation, we observed an immediate shortening of AIS length and a distal shift in AIS start position relative to the soma, however only the distal shift in AIS start position persisted to 24 hours post-stimulation. Our findings provide the foundation to expand the use of SMS to more chronic applications as a method to study or promote AIS plasticity non-invasively.

neuroscience↗