Biology subjects

Stankoff, B.

Publications and source records attributed to Stankoff, B..

7 recordsLinked to original sources

bioRxiv2026

High neuron-microglia interaction at the node of Ranvier predicts recovery in an inflammatory model of Multiple Sclerosis

Microglia, the resident immune cells of the central nervous system, dynamically respond to their environment in health, injury and disease. They contact axons at the nodes of Ranvier in an activity-dependent manner, a process which contributes to repair, but how adaptive immunity in Multiple Sclerosis (MS) impacts this neuron-microglia crosstalk remains unknown. Using an inflammatory MS model, we identify strengthened microglia-node interactions at remission onset, with marked interindividual variability. Increased engagement correlates with a Th2-related cytokine signature, and IL13/IL4 are sufficient to enhance microglia-node contacts. High interaction levels associate with more pro-regenerative microglia, improved tissue repair and better functional recovery. Low-intensity physical exercise at remission onset further promotes microglia-node interaction, pro-regenerative microglia and improves recovery. Consistently, high microglia-node contact in MS tissue is associated with more extensive remyelination, underscoring this interaction as a key process in repair.

neuroscience↗

bioRxiv2025

Neuronal activity promotes repair by microglial reprogramming following demyelination

Microglia, the resident immune cells of the central nervous system (CNS), play a multifaceted role in neurological disorders. In multiple sclerosis (MS), a chronic demyelinating and neurodegenerative disease, microglia contribute to inflammation and tissue damage, but can also support repair by clearing myelin debris, limiting inflammation and promoting remyelination and neuroprotection. The timely transition from their pro-inflammatory to pro-regenerative states is essential for effective repair and, in chronic MS, persistent, defective microglial activation contributes to disease progression. Yet, the mechanisms underlying the microglial switch remain largely unknown. In this study, we demonstrate that neuronal activity can modulate microglial signature at the onset of remyelination in MS models, in a pattern-dependent manner. Transcriptomic analyses reveal a downregulation of pro-inflammatory, disease-associated microglial signatures alongside an upregulation of genes associated with oxidative phosphorylation and lipid metabolism, indicative of a shift toward pro-regenerative states following physiological activity enhancement. This activity-dependent reprogramming also extends to infiltrating monocytes and macrophages, collectively fostering a microenvironment favoring repair.

neuroscience↗

bioRxiv2024

Neuronal activity promotes axonal node-like clustering prior to myelination and remyelination in the central nervous system.

Nodes of Ranvier ensure the fast saltatory conduction along myelinated axons, through their enrichment in voltage-gated sodium and potassium channels. We and others have shown that node-like cluster assembly can occur before myelination. In multiple sclerosis, demyelination is associated with node of Ranvier disassembly, but node-like reassembly can occur prior to remyelination. Given the crucial role of neuronal activity in inducing (re)myelination, we asked whether neuronal activity could regulate node-like clustering. We show that node-like clustering is promoted by neuronal activity and decreased when excitatory glutamatergic receptors are inhibited. Altering glutamatergic neurotransmission leads to the downregulation of Nav1.1 expression, which we show to be critical for node-like clustering. Neuronal activity also promotes node-like clustering in remyelination. As node-like clusters modulate conduction velocity and myelination initiation along axons, we propose that activity-dependent node-like clustering could modulate neuronal network establishment, as well as myelination regulation and patterning during development, plasticity and repair.

neuroscience↗

bioRxiv2023

Deleterious functional consequences of perfluoroalkyl substances accumulation into the myelin sheath

Exposure to persistent organic pollutants during the perinatal period is of particular concern because of the potential increased risk of neurological disorders in adulthood. Here we questioned whether exposure to perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) could alter myelin formation and regeneration. First, we show that PFOS, and to a lesser extent PFOA, accumulated into the myelin sheath of postnatal day 21 (p21) mice, whose mothers were exposed to either PFOA or PFOS (20mg/L) via drinking water during late gestation and lactation, suggesting that accumulation of PFOS into the myelin could interfere with myelin formation and function. In fact, PFOS, but not PFOA, disrupted the generation of oligodendrocytes, the myelin-forming cells of the central nervous system, derived from neural stem cells localised in the subventricular zone of p21 exposed animals. Then, cerebellar slices were transiently demyelinated using lysophosphatidylcholine and remyelination was quantified in the presence of either PFOA or PFOS. Only PFOS impaired remyelination, a deleterious effect rescued by adding thyroid hormone (TH). Similarly to our observation in the mouse, we also showed that PFOS altered remyelination in Xenopus laevis using the Tg(Mbp:GFP-ntr) model of conditional demyelination and measuring, then, the number of oligodendrocytes. The functional consequences of PFOS-impaired remyelination were shown by its effects using a battery of behavioural tests. In sum, our data demonstrate that perinatal PFOS exposure disrupts oligodendrogenesis and myelin function through modulation of TH action. PFOS exposure may exacerbate genetic and environmental susceptibilities underlying myelin disorders, the most frequent being multiple sclerosis. HighlightsO_LIOur investigation points the deleterious effects of PFOS incorporation into the myelin sheath C_LIO_LIPFOS interfere dramatically with the generation of remyelinating and functional repair of demyelinating lesions C_LIO_LIOur study points to a potential link between these persistent pollutants and the recent increase in prevalence of multiple sclerosis C_LI

pharmacology and toxicology↗

bioRxiv2021

Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis

Choroid plexuses (CP) are structures of the brain ventricles which produce most of the cerebrospinal fluid (CSF). Several postmortem and in vivo studies have pointed towards their role in the inflammatory processes in multiple sclerosis (MS). Automatic segmentation of CP from MRI thus has high value for studying their characteristics in large cohorts of patients. To the best of our knowledge, the only freely available tool for CP segmentation is FreeSurfer but its accuracy for this specific structure is poor. In this paper, we propose to automatically segment CP from non-contrast enhanced T1-weighted MRI. To that end, we introduce a new model called "Axial-MLP" based on an assembly of Axial multi-layer perceptrons (MLPs). This is inspired by recent works which showed that the self-attention layers of Transformers can be replaced with MLPs. This approach is systematically compared with a standard 3D U-Net, nnU-Net, Freesurfer and FastSurfer. For our experiments, we make use of a dataset of 141 subjects (44 controls and 97 patients with MS). We show that all the tested deep learning (DL) methods outperform FreeSurfer (Dice around 0.7 for DL vs 0.33 for FreeSurfer). Axial-MLP is competitive with U-Nets even though it is slightly less accurate. The conclusions of our paper are two-fold: 1) the studied deep learning methods could be useful tools to study CP in large cohorts of MS patients; 2) Axial-MLP is a potentially viable alternative to convolutional neural networks for such tasks, although it could benefit from further improvements.

bioengineering↗

bioRxiv2021

Dysregulated functional and metabolic response in multiple sclerosis patient macrophages correlate with a more inflammatory state, reminiscent of trained immunity

In multiple sclerosis (MS), immune cells invade the central nervous system and destroy myelin. Macrophages contribute to demyelination and myelin repair, and their role in each process depends on their ability to acquire specific phenotypes in response to external signals. Here, we assess whether defects in MS patient macrophage responses may lead to increased inflammation or lack of neuro-regenerative effects. To test this hypothesis, CD14+CD16- monocytes from MS patients and healthy controls were activated in vitro to obtain homeostatic-like, pro-inflammatory and pro-regenerative macrophages. Myelin phagocytic capacity and surface molecule expression of CD14, CD16 and HLA-DR were evaluated with flow cytometry. In parallel, macrophages were assessed through RNA sequencing and metabolomics. We observed that MS patient monocytes ex vivo recapitulate their preferential activation toward a CD16+ phenotype, a subset of pro-inflammatory cells present in MS lesions. Even in the absence of pro-inflammatory stimuli, MS patient macrophages exhibit a pro-inflammatory transcriptomic profile with higher levels of cytokine/chemokine suggesting increased recruitment capacities. Interestingly, MS patient macrophages exhibit a specific metabolic signature with a mitochondrial energy metabolism blockage resulting in a shift from oxidative phosphorylation to glycolysis. Furthermore, we observe a failure to up-regulate apoptosis effector genes in the pro inflammatory state suggesting a longer-lived pro-inflammatory macrophage population. Our results highlight an intrinsic defect of MS patient macrophages that provide evidence of innate immune cell memory in MS.

neuroscience↗

bioRxiv2018

Dynamic 11C-PiB PET shows cerebrospinal fluid flow alterations in Alzheimer’s disease and multiple sclerosis

Cerebrospinal fluid (CSF) plays an important role in the clearance of solutes and maintenance of brain homeostasis. 11C-PiB PET was recently proposed as a tool for detection of CSF clearance alterations in Alzheimers disease. The current study seeks to investigate the magnitude of 11C-PiB PET signal in the lateral ventricles of an independent group of Alzheimers and mild cognitive impairment subjects. We have also evaluated multiple sclerosis as a model of disease with CSF clearance alterations without amyloid-beta tissue accumulation.\n\nMethodsA set of Alzheimers and mild cognitive impairment subjects and a set of multiple sclerosis subjects with matched healthy controls underwent MRI and dynamic 11C-PiB PET. Manual lateral ventricle regions of interest were generated from MRI data. PET data was analysed using a simplified reference tissue model with cerebellum or a supervised reference region, for the Alzheimers and multiple sclerosis datasets, respectively. Magnitude of 11C-PiB signal in the lateral ventricles was calculated as area under curve from 35 to 80 minutes and standard uptake value ratio (SUVR) from 50 to 70 minutes. Compartmental modelling analysis was performed on a separate dataset containing Alzheimers and matched healthy control data with an arterial input function to further understand the kinetics of the lateral ventricular 11C-PiB signal.\n\nResultsAnalysis of variance revealed significant group differences in lateral ventricular SUVR across the Alzheimers, mild cognitive impairment, and healthy control groups (p=0.004). Additional pairwise comparisons revealed significantly lower lateral ventricular SUVR in Alzheimers compared to healthy controls (p<0.001) and mild cognitive impairment (p=0.029). Lateral ventricular SUVR was also significantly lower in multiple sclerosis compared to healthy controls (p=0.008). Compartmental modelling analysis revealed significantly lower uptake rates of 11C-PiB signal from blood (p=0.005) and brain tissue (p=0.004) to the lateral ventricles in Alzheimers compared to healthy controls. This analysis also revealed significantly lower clearance of 11C-PiB signal out of the lateral ventricles in Alzheimers compared to healthy controls (p=0.002).\n\nConclusionOverall, these results indicate that dynamic 11C-PiB PET can be used to observe pathological changes in cerebrospinal fluid dynamics and that cerebrospinal fluid-mediated clearance is reduced in Alzheimers disease and multiple sclerosis compared to healthy controls.

neuroscience↗