Biology subjects

Stewart, J. M.

Publications and source records attributed to Stewart, J. M..

5 recordsLinked to original sources

bioRxiv2023

A thin-film optogenetic visual prosthesis

Retinitis pigmentosa and macular degeneration lead to photoreceptor death and loss of visual perception. Despite recent progress, restorative technologies for photoreceptor degeneration remain largely unavailable. Here, we describe a novel optogenetic visual prosthesis (FlexLED) based on a combination of a thin-film retinal display and optogenetic activation of retinal ganglion cells (RGCs). The FlexLED implant is a 30 {micro}m thin, flexible, wireless {micro}LED display with 8,192 pixels, each with an emission area of 66 {micro}m2. The display is affixed to the retinal surface, and the electronics package is mounted under the conjunctiva in the form factor of a conventional glaucoma drainage implant. In a rabbit model of photoreceptor degeneration, optical stimulation of the retina using the FlexLED elicits activity in visual cortex. This technology is readily scalable to hundreds of thousands of pixels, providing a route towards an implantable optogenetic visual prosthesis capable of generating vision by stimulating RGCs at near-cellular resolution.

neuroscience↗

bioRxiv2022

A meta-analysis of the stony coral tissue loss disease microbiome finds key bacteria in lesions and unaffected tissue of diseased colonies

Stony coral tissue loss disease (SCTLD) has been causing significant whole colony mortality on reefs in Florida and the Caribbean. The cause of SCTLD remains unknown, with limited concurrence of SCTLD-associated bacteria among studies. We conducted a meta-analysis of SSU 16S ribosomal RNA gene datasets generated by 16 field and laboratory SCTLD studies to find consistent bacteria associated with SCTLD across disease zones (vulnerable, endemic, and epidemic), coral species, coral compartments (mucus, tissue, and skeleton), and disease states (apparently healthy colony tissue [AH], and unaffected [DU] and lesion [DL] tissue from diseased colonies). We also evaluated bacteria in seawater and sediment, which may be sources of SCTLD transmission. Although AH colonies in endemic and epidemic zones harbor bacteria associated with SCTLD lesions, and aquaria and field samples had distinct microbial compositions, there were still clear differences in the microbial composition among AH, DU, and DL in the combined dataset. Alpha diversity between AH and DL was not different; however, DU showed increased alpha diversity compared to AH, indicating that, prior to lesion formation, corals may undergo a disturbance to the microbiome. This disturbance may be driven by Flavobacteriales, which were especially enriched in DU. While Rhodobacterales and Peptostreptococcales-Tissierellales were prominent in structuring microbial interactions in DL. Peptostreptococcales-Tissierellales specifically may contribute to lesion progression through an alpha-toxin. We provide a consensus of SCTLD-associated bacteria both prior to and during lesion progression and identify how these taxa vary across studies, coral species, coral compartments, seawater, and sediment.

microbiology↗

bioRxiv2022

Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock

Biological age, distinct from an individuals chronological age, has been studied extensively through predictive aging clocks. However, these clocks have limited accuracy in short time-scales. Deep learning approaches on imaging datasets of the eye have proven powerful for a variety of quantitative phenotype inference tasks and provide an opportunity to explore organismal aging and tissue health. Here we trained deep learning models on fundus images from the EyePACS dataset to predict individuals chronological age. These predictions led to the concept of a retinal aging clock, "eyeAge", which we employed for a series of downstream longitudinal analyses. eyeAge was used to predict chronological age on timescales under a year using longitudinal fundus imaging data from a subset of patients. To further validate the model, it was applied to a separate cohort from the UK Biobank. The difference between individuals eyeAge and their chronological age, hereafter "eyeAgeAccel", was computed and used for genome-wide association analysis (GWAS). EyeAge predicted chronological age more accurately than other aging clocks (mean absolute error of 2.86 and 3.30 years on quality-filtered data from EyePACS and UKBiobank, respectively). Additionally, eyeAgeAccel was highly independent of blood marker-based measures of biological age (e.g. "phenotypic age"), maintaining an all-cause mortality hazard ratio of 1.026 even in the presence of phenotypic age. Longitudinal studies showed that the resulting models were able to predict individuals aging, in time-scales less than a year, with 71% accuracy. The individual-specific component to this prediction was confirmed with the identification of multiple GWAS hits in the independent UK Biobank cohort. The knockdown of the fly homolog to the top hit, ALKAL2, which was previously shown to extend lifespan in flies, also slowed age-related decline in vision in flies. In conclusion, predicted age from retinal images can be used as a biomarker of biological aging that is independent from assessment based on blood markers. This study demonstrates the potential utility of a retinal aging clock for studying aging and age-related diseases and quantitatively measuring aging on very short time-scales, opening avenues for quick and actionable evaluation of gero-protective therapeutics.

bioinformatics↗

bioRxiv2022

Treatment with an Antigen-Specific Dual Microparticle System Reverses Advanced Multiple Sclerosis in Mice

Antigen-specific therapies hold promise for treating autoimmune diseases such as multiple sclerosis while avoiding the deleterious side effects of systemic immune suppression. In this study, an antigen-specific dual-sized microparticle (dMP) immunotherapy reversed hind limb paralysis when administered in mice with advanced experimental autoimmune encephalomyelitis (EAE). Treatment reduced central nervous system (CNS) immune cell infiltration, demyelination and inflammatory cytokine levels. Mechanistic insights using single-cell RNA sequencing showed that treatment impacted the MHC II antigen presentation pathway in dendritic cells, macrophages, B cells and microglia, not only in the draining lymph nodes, but strikingly also in the spinal cord. CD74 and cathepsin S were among the common genes downregulated in most antigen presenting cell (APC) clusters, with B cells also having numerous MHC II genes reduced. Efficacy of the treatment diminished when B cells were absent, suggesting their impact in this therapy, in concert with other immune populations. Activation and inflammation were reduced in both APCs and T cells. This promising antigen-specific therapeutic approach advantageously engaged essential components of both innate and adaptive autoimmune responses, and capably reversed paralysis in advanced EAE without the use of broad immunosuppressant. Significance StatementMultiple sclerosis (MS) is a debilitating autoimmune disease that can lead to paralysis. We demonstrate an antigen-specific microparticle treatment can reverse hind limb paralysis when administered in advanced EAE. Single-cell RNA-sequencing and flow cytometry analysis provide evidence the treatment acts by diminishing Ag presentation in APCs, including B cells in the CNS and the draining lymph nodes. Thus, the antigen-specific dual-sized microparticle treatment is a promising therapy even in advanced EAE, and potentially MS.

bioengineering↗

bioRxiv2021

Hedgehog pathway members Patched and Costal-2 exhibit differences in overgrowth autonomy in Drosophila melanogaster

Genetic screens are used in Drosophila melanogaster to identify genes key in the regulation of organismal development and growth. These screens have defined signaling pathways necessary for tissue and organismal development which are evolutionarily conserved across species, including Drosophila. Here we have used a Flp/FRT mosaic system to screen for conditional regulators of cell growth and cell division in the Drosophila eye. The conditional nature of this screen utilizes a block in the apoptotic pathway to prohibit the mosaic mutant cells from dying via apoptosis. From this screen, we identified two different mutants that mapped to the Hedgehog signaling pathway. Previously, we described a novel Ptc mutation and here we add to the understanding of disrupting the Hh pathway with a novel allele of Cos2. Both of these Hh components are negative regulators of the pathway, yet they depict mutant differences in the type of overgrowth. Ptc mutations lead to overgrowth consisting of almost entirely wild type issue (non-autonomous overgrowth), while the Cos2 mutation results in tissue that is overgrown in both the mutant and wild type clones (both autonomous and non-autonomous). These differences in tissue overgrowth are consistent in the Drosophila eye and wing. The observed difference is correlated with a different pattern of deregulation of Mad, the downstream effector of DPP signaling. This finding provides insight into pathway specific differences that may help to better understand intricacies of developmental processes and human disease.

developmental biology↗