Zöller, D. | bioRxiv Science

bioRxiv2026

A reparative neutrophil subpopulation promotes spinal cord regeneration in zebrafish by controlling macrophage inflammation via Il-4

In mammals, a dysregulated immune response is detrimental to spinal cord repair. In zebrafish, which are capable of spinal cord regeneration, the immune response promotes regeneration. Neutrophils are the first immune cells to arrive at a spinal cord injury site, but their role in successful regeneration is not fully understood. Here we show that ablating neutrophils, including a subpopulation that expresses the cytokine il4, increases expression of il1b (coding for Il-1{beta}) in macrophages/microglia and impairs anatomical and functional recovery after a spinal cord injury in larval zebrafish. Regeneration is fully rescued by over-expression of il4 alone or experimentally reducing Il-1{beta} levels. Disruption of il4 mimics the detrimental effect of neutrophil ablation for axonal regeneration and is also rescued by reducing Il-1{beta} levels. Hence, after spinal cord injury, a pro-regenerative neutrophil subpopulation promotes spinal cord regeneration in larval zebrafish by controlling expression of il1b in macrophages/microglia. For this neutrophil action, il4 expression is necessary and sufficient. HIGHLIGHTS- Neutrophil ablation impairs spinal cord repair in zebrafish - The neutrophil response can be replaced by reducing Il-1{beta} levels - A pro-regenerative subpopulation of neutrophils expresses il4 - il4 overexpression fully rescues effects of neutrophil ablation

neuroscience↗

bioRxiv2022

dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD

ObjectiveAchieving sufficient statistical power in a survival analysis usually requires large amounts of data from different sites. Sensitivity of individual-level data, ethical and practical considerations regarding data sharing across institutions could be a potential challenge for achieving this added power. Hence we implemented a federated meta-analysis approach of survival models in DataSHIELD, where only anonymous aggregated data are shared across institutions, while simultaneously allowing for exploratory, interactive modelling. In this case, meta-analysis techniques to combine analysis results from each site are a solution, but an analytic workflow involving local analysis undertaken at individual studies hinders exploration. Thus, the aim is to provide a framework for performing meta-analysis of Cox regression models across institutions without manual analysis steps for the data providers. ResultsWe introduce a package (dsSurvival) which allows privacy preserving meta-analysis of survival models, including the calculation of hazard ratios. Our tool can be of great use in biomedical research where there is a need for building survival models and there are privacy concerns about sharing data.

bioinformatics↗