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Mulders, G.

Publications and source records attributed to Mulders, G..

2 recordsLinked to original sources

Molecular and anatomical roadmap of stroke pathology in immunodeficient mice

BackgroundStroke remains a leading cause of disability and death worldwide. It has become apparent that inflammation and immune mediators have a pre-dominant role in initial tissue damage and long-term recovery following the injury. Still, different immunosuppressed mouse models are necessary in stroke research e.g., to evaluate therapies using human cell grafts. Despite mounting evidence delineating the importance of inflammation in the stroke pathology, it is poorly described to what extent partial immune deficiency influences the overall stroke outcome. MethodsHere, we assessed the stroke pathology of popular genetic immunodeficient mouse models, i.e., NOD scid gamma (NSG) and recombination activating gene 2 (Rag2-/-) mice as well as pharmacologically immunosuppressed mice and compared them to immune competent, wildtype (WT) C57BL/6J mice up to three weeks after injury. We performed histology, gene expression profiling, serum analysis and functional behavioural tests to identify the impact of immunosuppression on the stroke progression. ResultsWe detected distinct changes in microglia infiltration, scar-forming and vascular repair in immune-suppressed mice three weeks after injury. Gene expression analysis of stroked tissue revealed the strongest deviation from immune competent mice was observed in NSG mice, for instance, affecting immunological and angiogenic pathways. Pharmacological immunosuppression resulted in the least variation in gene expression compared with the WT. Major differences have been further identified in the systemic inflammatory response following stroke acutely and three weeks following injury. These anatomical, genetic, and systemic changes did not affect functional deficits and recovery in a time course of three weeks. To determine whether the timing of immunosuppression after stroke is critical, we compared mice with acute and delayed pharmacological immunosuppression after stroke. Mice with a delayed immunosuppression (7d) after stroke showed increased inflammatory and scarring responses compared to animals acutely treated with tacrolimus, thus more closely resembling WT pathology. Transplantation of human cells in the brains of immunosuppressed mouse models led to prolonged cell survival in all immunosuppressed mouse models, which was most consistent in NSG and Rag2-/- mice. ConclusionsIn sum, we detected distinct anatomical and molecular changes in the stroke pathology between the individual immunosuppressed mouse models that should be carefully considered when selecting an appropriate mouse model for stroke research.

neuroscience↗

Deep learning based behavioral profiling of rodent stroke recovery

Stroke research heavily relies on rodent behavior when assessing underlying disease mechanisms and treatment efficacy. Although functional motor recovery is considered the primary targeted outcome, tests in rodents are still poorly reproducible, and often unsuitable for unraveling the complex behavior after injury. Here, we provide a comprehensive 3D gait analysis of mice after focal cerebral ischemia based on the new deep learning-based software (DeepLabCut, DLC) that only requires basic behavioral equipment. We demonstrate a high precision 3D tracking of 10 body parts (including all relevant joints and reference landmarks) in several mouse strains with an accuracy of 99.4%. Building on this rigor motion tracking, a comprehensive post-analysis (with >100 parameters) unveils biologically relevant differences in locomotor profiles after a stroke over a time course of three weeks. We further refine the widely used ladder rung test using deep learning and compare its performance to human annotators. The generated DLC-assisted tests were then benchmarked to five widely used conventional behavioral set-ups (neurological scoring, rotarod, ladder rung walk, cylinder test, and single-pellet grasping) regarding sensitivity, accuracy, time use and costs. We conclude that deep learning-based motion tracking with comprehensive post-analysis provides accurate and sensitive data to describe the complex recovery of rodents following a stroke. The experimental set-up and analysis can also benefit a range of other neurological injuries that affect locomotion.

neuroscience↗