Biology subjects

Gibson, R.

Publications and source records attributed to Gibson, R..

9 recordsLinked to original sources

bioRxiv2026

Novel Co-expression of Group I Metabotropic Glutamate Receptor During Mouse Cochlear Nucleus Development

Metabotropic glutamate receptors (mGluR) are G-protein coupled receptors that regulate neuroplasticity and have been shown to play a role in auditory processing. However, not much is known about the expression of mGluRs during cochlear nucleus development in the context of Fragile X syndrome (FXS). FXS is the most common heritable form of intellectual disability and autism and is associated with auditory processing deficits including hypersensitivity. Audiogenic seizure is a notable feature of the Fmr1 knock-out (KO) mouse model for FXS, in which mGluR5 has been shown to be necessary. In this study, we investigated the expression of eight metabotropic glutamate receptors (mGluRs) in the cochlear nucleus at both young and adult ages and in wildtype and Fmr1 KO mice. While it is established that mGluR1 is the predominantly expressed mGluR in adult cochlear nucleus, we report the following new finding that mGluR5 is the more abundant receptor during early development. The expression of Group II and III mGluRs (2,3,4,6,7,8) was relatively stable during development. We show that mGluR1 and mGluR5 are co-expressed across multiple neuron types. Fmr1 genotype did not have statistically significant impact on the expression pattern of mGluRs in cochlear nucleus. Although hearing onset occurs during this mGluR5 to 1 transition period, mGluR expression patterns were not impacted by cochlear activity. We conclude that there is an mGluR5 is to mGluR1 transition that occurs within cochlear nucleus neurons during the critical period closure that is intrinsic to neuronal development.

neuroscience↗

bioRxiv2026

Chronic trazodone treatment consolidates sleep, improves memory, and reduces amyloid pathology in a mouse model of Alzheimer's disease

Sleep disturbance in Alzheimers disease (AD), particularly the reduction of slow wave sleep (SWS), has been proposed as a novel therapeutic target, with disease-modifying potential. Trazodone, an antidepressant with robust SWS-promoting properties, is currently the most prescribed sleep-promoting medication in the United States. Here, we demonstrate that chronic trazodone administration consolidates sleep in the APPNL-F knock-in mouse model of AD, increasing NREM sleep duration and slow wave power during the rest phase while promoting wake during the active phase. These sleep consolidating effects were accompanied by lower regional glial activation and amyloid burden, particularly in male mice. Most notably, hippocampal amyloid plaque burden was 45% lower in mice treated from 14 to 16 months of age than in vehicle-treated controls. Chronic trazodone treatment was also associated with better short-term and long-term recognition memory. Together, these findings support the potential of repurposing trazodone as a well-tolerated, disease-modifying therapeutic for AD, capable of enhancing sleep quality, improving cognition, and lowering AD-relevant neuropathology.

neuroscience↗

bioRxiv2025

Cat brains age like humans: Translating Time shows pet cats live to be natural models for human aging

Translating biological time across species is a powerful tool to identify new models of human aging and disease. Currently, it is not clear whether any animal reaches an age comparable to a human in their 80s. Most species seem to age differently compared with humans. Some preliminary observations suggest that cats may share common patterns of aging with humans. Cats could serve as a promising model for human aging. Here, we find corresponding ages between cats, humans and other species to test whether cats can live to the equivalent of a human in their 80s. We analyzed 3,754 observations across species from sudden and gradual changes in anatomy, physiology, and behavior. Some of these data are from clinical records, whereas others are from brain scans using high-resolution MRI (7T and 3T). We studied pet cats, research colony cats, and wildcats living in zoos to encapsulate species variation in the speed of development and aging. We found that cat and human brains atrophy with age, and that their age-related patterns in brain aging are sufficiently similar that we could use them to generate cross-species age alignments. We also found that human postnatal development is stretched compared with cats and mice. Interestingly, some pet cats that visit clinics are much older than those in colonies. Therefore, cats, and especially pet cats, are natural model systems of human aging. Our findings call for increased integration across veterinary and human medicine to understand aging.

neuroscience↗

bioRxiv2024

Developing and Investigating a Nanovibration Intervention for the Prevention/Reversal of Bone Loss Following Spinal Cord Injury

Osteoporosis disrupts the fine-tuned balance between bone formation and resorption leading to reductions in bone quantity and quality, ultimately leading to increased fracture risk. Prevention and treatment of osteoporotic fractures is essential, for reductions in mortality, morbidity and the economic burden, particularly considering the ageing global population. Extreme bone loss that mimics time-accelerated osteoporosis develops in the paralysed limbs following complete spinal cord injury (SCI). In vitro nanoscale vibration (1 kHz, 30- or 90 nm amplitude) has been shown to drive differentiation of mesenchymal stem cells towards osteoblast-like phenotypes, enhancing osteogenesis, and inhibiting osteoclastogenesis, simultaneously. Here we develop and characterise a wearable device designed to deliver continuous nano-amplitude vibration to the hindlimb long bones of rats with complete SCI. We investigate whether a clinically feasible dose of nanovibration (4-hours/day, 5-days/week for 6 weeks) is effective at reversing the established SCI-induced osteoporosis. Laser interferometry and finite element analysis confirmed transmission of nanovibration into the bone, and micro-computed tomography and serum bone formation and resorption markers assessed effectiveness. The intervention did not reverse SCI-induced osteoporosis. However, serum analysis indicated an elevated concentration of the bone formation marker procollagen type 1 N-terminal propeptide (P1NP) in rats receiving 40 nm amplitude nanovibration, suggesting increased synthesis of type 1 collagen, the major organic component of bone. Therefore, enhanced doses of nanovibrational stimulus may yet prove beneficial in attenuating/reversing osteoporosis, particularly in less severe forms of osteoporosis.

bioengineering↗

bioRxiv2022

The Staphylococcus aureus iron-regulated surface determinant A (IsdA) increases SARS CoV-2 replication by modulating JAK-STAT signaling

The emergence and spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS CoV-2) and the associated Coronavirus disease (COVID-19) pandemic have affected millions globally. Like other respiratory viruses, a significant complication of COVID-19 infection is secondary bacterial co-infection, which is seen in approximately 25% of severe cases. The most common organism isolated from co-infection is the Gram-positive bacterium Staphylococcus aureus. Here, we developed an in vitro co-infection model where both CoV-2 and S. aureus replication kinetics can be examined. We demonstrate CoV-2 infection does not alter how S. aureus attaches to or grows in host epithelial cells. In contrast, the presence of replicating S. aureus enhances the replication of CoV-2 by 10-15-fold. We identify this pro-viral activity is due to the S. aureus iron-regulated surface determinant A (IsdA) and this effect is mimicked across different SARS CoV-2 permissive cell lines infected with multiple viral variants. Analysis of co-infected cells demonstrated an IsdA dependent modification of host transcription. Using chemical inhibition, we determined S. aureus IsdA modifies host Janus Kinase - Signal Transducer and Activator of Transcription (JAK-STAT) signalling, ultimately leading to increased viral replication. These findings provide key insight into the molecular interactions that occur between host cells, CoV-2 and S. aureus during co-infection. ImportanceBacterial co-infection is a common and significant complication of respiratory viral infection, including in patients with COVID-19, and leads to increased morbidity and mortality. The relationship between virus, bacteria and host is largely unknown, which makes it difficult to design effective treatment strategies. In the present study we created a model of co-infection between SARS CoV-2 and Staphylococcus aureus, the most common species identified in COVID-19 patients with co-infection. We demonstrate that the S. aureus protein IsdA enhances the replication of SARS CoV-2 in vitro by modulating host cell signal transduction pathways. The significance of this finding is in identifying a bacterial component that enhances CoV-2 pathogenesis, which could be a target for the development of co-infection specific therapy in the future. In addition, this protein can be used as a tool to decipher the mechanisms by which CoV-2 manipulates the host cell, providing a better understanding of COVID-19 virulence.

microbiology↗

bioRxiv2020

Elucidating the viral and host factors enabling the cross-species transmission of primate lentiviruses from simians to humans

The HIV-1 epidemic originated from a cross-species transmission of a primate lentivirus from chimpanzees to humans near the turn of the 18th century. Simian immunodeficiency viruses have been jumping between old world monkeys in West/Central Africa for thousands of years. So why did HIV-1 only emerge in the past century? This study examined the replicative fitness, transmission, restriction, and cytopathogenicity of 26 primate lentiviruses. Pairwise competitions of these primate lentiviruses revealed that SIVcpz had the highest replicative fitness in human or chimpanzee peripheral blood mononuclear cells, even higher fitness than HIV-1 group M strains responsible for 37 million infections worldwide. In contrast the "HIV-2 lineage" (SIVsmm, SIVmac, SIVagm, and HIV-2) had the lowest replicative fitness. SIVcpz strains were less inhibited by human restriction factors than the "HIV-2 lineage" strains, a restriction that was inversely correlated with replicative fitness. SIVcpz from the chimpanzee subspecies Pan troglodytes troglodytes (Ptt) was slightly more fit in human cells than the strains from Pt schweinfurthii (Pts). However, unlike all other primate lentiviruses (including the HIV-2 lineage), SIVcpz was nonpathogenic in human tonsillar tissue and did not deplete CD4+ T-cells, consistent with the slow or nonpathogenic disease observed in chimpanzees. Despite the close phylogenetic relationship between SIVcpz_Ptt and HIV-1, this epidemic was either caused by cross species transmission of a rare, undiscovered SIVcpz strain of higher virulence or higher virulence differentially evolved among HIV-1 subtypes during the human epidemic. Author summaryInvasion of wild animal habitats by humans can have devastating consequences for the human population as evident by the HIV-1 and SARS-CoV-2 epidemics. With SARS-CoV-2, a recent zoonotic jump, likely from bats, will help to identify a coronavirus progenitor. In contrast, simian immunodeficiency virus (SIV) jumped into humans over 100 years ago from a possibly extinct sub-species of chimpanzees and/or extinct lineage of SIV. We examined replicative fitness and pathogenesis of 26 different primate lentiviruses in human and chimpanzee primary lymphoid cells from blood and within tonsils. SIV from a specific chimpanzee species and lowland gorillas were the most capable of infecting and replicating in human and chimp lymphoid cells but they did not result in the pathogenesis related to disease in humans. In contrast, SIV from other old world monkeys were pathogenic but could not replicate efficiently in human cells. We propose the main HIV-1 is derived from a distinct jump of a very rare SIV strain in chimps leading to AIDS pandemic.

microbiology↗

bioRxiv2020

FastPG: Fast clustering of millions of single cells

Current single-cell experiments can produce datasets with millions of cells. Unsupervised clustering can be used to identify cell populations in single-cell analysis but often leads to interminable computation time at this scale. This problem has previously been mitigated by subsampling cells, which greatly reduces accuracy. We built on the graph-based algorithm PhenoGraph and developed FastPG which has the same cell assignment accuracy but is on average 27x faster in our tests. FastPG also has higher cell assignment accuracy than two other fast clustering methods, FlowSOM and PARC. AvailabilityFastPG is available here: https://github.com/sararselitsky/FastPG

bioinformatics↗

bioRxiv2020

Optimization of Human Papillomavirus-based Pseudovirus Techniques for Efficient Gene Transfer

Human papillomavirus (HPV) L1 and L2 capsid proteins self-assemble into virions capable of efficiently packaging either its 8 kilobase genome or non-viral DNA. The ability of HPV capsids to package non-viral DNA makes these a useful tool for delivering plasmids to study proteins of interest in a variety of cell types. We describe optimization of current methods and present new protocols for using HPV capsids to deliver non-viral DNA thereby providing an alternative to DNA transfection. Using keratinocyte generated extracellular matrices can enhance infection efficiency in keratinocytes, hepatocytes and neuronal cells. Furthermore, we describe a suspension-based efficient technique for infecting different cell types.

microbiology↗

bioRxiv2017

Analyzing Key Nodes and Epidemic Risk in Seed Networks: Sweetpotato in Northern Uganda

Seed systems are critical for deployment of improved varieties, but also serve as major conduits for the spread of seed-borne pathogens. We evaluated the structure of an informal sweetpotato seed system for its vulnerability to the spread of epidemics, and its utility for disseminating improved varieties. During the 2014 growing season, vine sellers were surveyed weekly in the Gulu Region of Northern Uganda. Our analysis draws on tools from network theory to evaluate the potential for epidemic spread in this region. Using empirical seed transaction data and estimated spatial spread, we constructed a network of seed and pathogen movement. We modeled the introduction of a pathogen, and evaluated the influence of both epidemic starting point and quarantine treatments on epidemic progress. Quarantine of 30 out of 99 villages reduced epidemic progress by up to 66%, when compared to the control (no quarantine), over 20 time steps. The starting position in the network was critical for epidemic progress and final epidemic outcomes, and influenced the percent control conferred by quarantine treatments. Considering equal likelihood of any node being an introduction point for a new epidemic, villages of particular utility for disease monitoring were identified. Sensitivity analysis identified important parameters and priorities for future data collection. The efficacy of node degree, closeness, and eigenvector centrality was similar for selecting quarantine locations, while betweenness had more limited utility. This analysis framework can be applied to provide recommendations for a wide variety of seed systems.

ecology↗