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Biology subjects

Bergeron, G.

Publications and source records attributed to Bergeron, G..

2 recordsLinked to original sources

SARM1 is required for macrophage immunophenotype switching that is essential for nerve repair

SARM1 is a key executor of Wallerian degeneration in axons. Global knockout of sarm1 in mice delays degeneration for several weeks. Recently, we reported that Schwann cell reprogramming, inflammation, and axon regeneration are also delayed in these animals. Several studies have also indicated that SARM1 has essential regulatory functions in macrophages (M{phi}). However, the role of SARM1 in M{phi} in the context of peripheral nerve injury remains unknown. Here, we report that loss of sarm1 impairs splenic M{phi} from adopting immunological stimuli driven immunophenotypes in culture. Through a combination of cell culture, Western blotting, gene expression analysis, in vivo injection of M{phi} into sciatic nerves, and generation of cell specific sarm1 conditional knockout mouse lines, we found that SARM1 is required for proper immunophenotypes in M{phi}. Loss of sarm1 in macrophages increases neurite length of sensory neurons in culture but delays regeneration in a model of peripheral nerve injury. We identified dysregulation of several inflammatory and anti-inflammatory immunological stimuli pathways and altered regulation of both iNOS and Arginase-1 in Sarm1-/- M{phi}. In culture, Sarm1-/- M{phi} display difficulty phagocytosing and clearing myelin debris and this was recapitulated in vivo with a M{phi} specific sarm1 knockout line. Generation of M{phi} and neuronal sarm1 conditional knockout mice further indicated that SARM1 is required in both cell types for an efficient response to peripheral nerve injury. This study provides the first evidence that SARM1 signaling in M{phi} is required for injury induced inflammation, degeneration, and axon regeneration.

neuroscience↗

Environmental biases in the study of ecological networks at the planetary scale

Ecological networks are increasingly studied at large spatial scales, expanding their focus from a conceptual tool for community ecology into one that also adresses questions in biogeography and macroecology. This effort is supported by increased access to standardized information on ecological networks, in the form of openly accessible databases. Yet, there has been no systematic evaluation of the fitness for purpose of these data to explore synthesis questions at very large spatial scales. In particular, because the sampling of ecological networks is a difficult task, they are likely to not have a good representation of the diversity of Earths bioclimatic conditions, likely to be spatially aggregated, and therefore unlikely to achieve broad representativeness. In this paper, we analyze over 1300 ecological networks in the mangal.io database, and discuss their coverage of biomes, and the geographic areas in which there is a deficit of data on ecological networks. Taken together, our results suggest that while some information about the global structure of ecological networks is available, it remains fragmented over space, with further differences by types of eco-logical interactions. This causes great concerns both for our ability to transfer knowledge from one region to the next, but also to forecast the structural change in networks under climate change.

ecology↗