Biology subjects

Cummings, D.

Publications and source records attributed to Cummings, D..

3 recordsLinked to original sources

bioRxiv2018

Complement 3 signaling is necessary for the developmental refinement of olfactory bulb circuitry

The olfactory system depends upon organizational maps that are developmentally refined and maintained, however the cellular and molecular mechanisms that underlie these processes are unknown. Studies have shown that microglia and complement molecules are important for the developmental refinement of circuitry within the visual system, thus we asked whether they played a similar role in the olfactory system through the formation of the olfactory bulb (OB) maps, the glomerular and intrabulbar maps. Our findings revealed that microglia in mature animals engulf olfactory sensory neuron (OSN) axons and the synaptic terminals of tufted cells in the glomerular and intrabulbar maps respectively, suggesting microglia could anatomically shape the mature OB circuitry. To determine the mechanisms underlying this axonal pruning activity we used complement 3 (C3) and complement receptor 3 (CR3) knockout mice to investigate if C3 signaling was necessary for precise OB map development. Our results demonstrate that glomerular and intrabulbar map disorganization as typically present in early postnatal mice persists into adulthood when C3 signaling is disrupted. These data clearly establish the C3/CR3 pathway as necessary for the proper developmental refinement of both olfactory maps. We further present the olfactory system as a unique platform to study the role of glia in the development and adult refinement of regenerating circuits.

neuroscience↗

bioRxiv2017

Preliminary results of models to predict areas in the Americas with increased likelihood of Zika virus transmission in 2017.

Numerous Zika virus vaccines are being developed. However, identifying sites to evaluate the efficacy of a Zika virus vaccine is challenging due to the general decrease in Zika virus activity. We compare results from three different modeling approaches to estimate areas that may have increased relative risk of Zika virus transmission during 2017. The analysis focused on eight priority countries (i.e., Brazil, Colombia, Costa Rica, Dominican Republic, Ecuador, Mexico, Panama, and Peru). The models projected low incidence rates during 2017 for all locations in the priority countries but identified several subnational areas that may have increased relative risk of Zika virus transmission in 2017. Given the projected low incidence of disease, the total number of participants, number of study sites, or duration of study follow-up may need to be increased to meet the efficacy study endpoints.

epidemiology↗

bioRxiv2017

Timescales of influenza A/H3N2 antibody dynamics

Human immunity influences the evolution and impact of novel influenza strains. Because individuals are infected with multiple influenza strains during their lifetime and each virus can generate a cross-reactive antibody response, it is challenging to quantify the processes that shape observed immune responses, or to reliably detect recent infection from serological samples. Using a Bayesian model of antibody dynamics at multiple timescales, we explain complex cross-reactive antibody landscapes by inferring participants histories of infection with serological data from cross-sectional and longitudinal studies of influenza A/H3N2 in southern China and Vietnam. We show an individuals influenza antibody profile can be explained by a short-lived, broadly cross-reactive response that decays within a year to leave a smaller long-term response acting against a narrower range of strains. We also demonstrate that accounting for dynamic immune responses can provide a more accurate alternative to traditional definitions seroconversion for the estimation of infection attack rates. Our work provides a general model for explaining mechanisms of influenza immunity acting at multiple timescales based on contemporary serological data, and suggests a two-armed immune response to influenza infection consistent with competitive dynamics between B cell populations. This approach to analysing multiple timescales for antigenic responses could also be applied to other multi-strain pathogens such as dengue and related flaviviruses.

epidemiology↗