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Downes, G.

Publications and source records attributed to Downes, G..

2 recordsLinked to original sources

CD22L Conjugation to Insulin Attenuates Insulin-Specific B cell Activation

Pancreatic islet-reactive B lymphocytes promote Type 1 diabetes (T1D) by presenting antigen to islet-destructive T cells. Teplizumab, an anti-CD3 monoclonal, delays T1D onset in patients at risk, but additional therapies are needed to prevent disease entirely. Therefore, bifunctional molecules were designed to selectively inhibit T1D-promoting anti-insulin B cells by conjugating a ligand for the B cell inhibitory receptor CD22 (i.e., CD22L) to insulin, which permit these molecules to concomitantly bind to anti-insulin B cell receptors (BCRs) and CD22. Two prototypes were synthesized: 2:2 insulin-CD22L conjugate on a 4-arm PEG backbone, and 1:1 insulin-CD22L direct conjugate. Transgenic mice (125TgSD) expressing anti-insulin BCRs provided cells for in vitro testing. Cells were cultured with constructs for three days then assessed by flow cytometry. Duplicate wells with anti-CD40 simulated T cell help. Surprisingly, a 2-insulin 4-arm PEG control caused robust proliferation and activation-induced CD86 upregulation. Anti-CD40 further boosted these effects. This was unexpected, as soluble insulin alone has no effect, and may indicate that BCR-crosslinking occurs when antigens are tethered by the PEG backbone. Addition of CD22L via the 2:2 insulin-CD22L conjugate restored B cell properties to that of controls without additional beneficial effect. In contrast, the 1:1 insulin-CD22L direct conjugate significantly reduced anti-insulin B cell proliferation in the presence of anti-CD40. CD22L alone had no effect, and the constructs did not affect WT B cells. Thus, high valency constructs activate anti-insulin B cells, while low-valency antigen-CD22L conjugates co-ligate BCR and CD22, reducing B cell activation in response to simulated T cell help and reducing pathogenic B cell numbers without harming normal cells. Thus, the insulin-CD22L direct conjugate is a promising candidate for preclinical trials to prevent T1D without inducing immunodeficiency

bioengineering↗

Expression of the Eight GABAA Receptor α Subunits in the Developing Zebrafish Central Nervous System

GABA is a robust regulator of both developing and mature neural networks. It exerts many of its effects through GABAA receptors, which are heteropentamers assembled from a large array of subunits encoded by distinct genes. In mammals, there are 19 different GABAA subunit types, which are divided into the , {beta}, {gamma}, {delta}, {varepsilon}, {pi}, {theta} and {rho} subfamilies. The immense diversity of GABAA receptors is not fully understood. However, it is known that specific isoforms, with their distinct biophysical properties and expression profiles, tune responses to GABA. Although larval zebrafish are well-established as a model system for neural circuit analysis, little is known about GABAA receptors diversity and expression in this system. Here, using database analysis, we show that the zebrafish genome contains at least 23 subunits. All but the mammalian {theta} and {varepsilon} subunits have at least one zebrafish ortholog, while five mammalian GABAA subunits have two zebrafish orthologs. Zebrafish contain one subunit, {beta}4, which does not have a clear mammalian ortholog. Similar to mammalian GABAA receptors, the zebrafish subfamily is the largest and most diverse of the subfamilies. In zebrafish there are eight subunits, and RNA in situ hybridization across early zebrafish development revealed that they demonstrate distinct patterns of expression in the brain, spinal cord, and retina. Some subunits were very broadly distributed, whereas others were restricted to small populations of cells. Subunit-specific expression patterns were similar between zebrafish, frogs and rodents, which suggests that the roles of different GABAA receptor isoforms are largely conserved among vertebrates. This study provides a platform to examine isoform specific roles of GABAA receptors within zebrafish neural circuits and it highlights the potential of this system to better understand the remarkable heterogeneity of GABAA receptors.

neuroscience↗