Neural inflammation alters synaptic plasticity probed by 10 Hz repetitive magnetic stimulation
Lenz, M.; Eichler, A.; Kruse, P.; Strehl, A.; Rodriguez-Rozada, S.; Goren, I.; Yogev, N.; Frank, S.; Waisman, A.; Deller, T.; Jung, S.; Maggio, N.; Vlachos, A.
Show abstract
Systemic inflammation is associated with alterations in complex brain functions such as learning and memory. However, diagnostic approaches to functionally assess and quantify inflammation-associated alterations in synaptic plasticity are not well-established. In previous work, we demonstrated that bacterial lipopolysaccharide (LPS)-induced systemic inflammation alters the ability of hippocampal neurons to express synaptic plasticity, i.e., the long-term potentiation (LTP) of excitatory neurotransmission. Here, we tested whether synaptic plasticity induced by repetitive magnetic stimulation (rMS), a non-invasive brain stimulation technique used in clinical practice, is affected by LPS-induced inflammation. Specifically, we explored brain tissue cultures to learn more about the direct effects of LPS on neural tissue, and we tested for the plasticity-restoring effects of the anti-inflammatory cytokine interleukin 10 (IL10). As shown previously, 10 Hz repetitive magnetic stimulation (rMS) of organotypic entorhino-hippocampal tissue cultures induced a robust increase in excitatory neurotransmission onto CA1 pyramidal neurons. Furthermore, LPS-treated tissue cultures did not express rMS-induced synaptic plasticity. Live-cell microscopy in tissue cultures prepared from a novel transgenic reporter mouse line [C57BL6-Tg(TNFa-eGFP)] confirms that ex vivo LPS administration triggers microglial tumor necrosis factor alpha (TNF) expression, which is ameliorated in the presence of IL10. Consistent with this observation, IL10 hampers the LPS-induced increase in TNF, IL6, IL1{beta}, and IFN{gamma} and restores the ability of neurons to express rMS-induced synaptic plasticity in the presence of LPS. These findings establish organotypic tissue cultures as a suitable model for studying inflammation-induced alterations in synaptic plasticity, thus providing a biological basis for the diagnostic use of transcranial magnetic stimulation in the context of brain inflammation.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- IRF3 regulates neuroinflammatory responses and the expression of genes associated with Alzheimer's disease. 95%
- Metabolic reprogramming and altered ATP content impair neuroprotective functions of microglia in β-glucocerebrosidase deficiency models 94%
- Neuronal nuclear calcium signaling suppression of microglial reactivity is mediated by osteoprotegerin after traumatic brain injury 94%
Similar papers in this journal
- A Novel Tmem119-tdTomato Reporter Mouse Model for Studying Microglia in the Central Nervous System 95%
- Autoimmune inflammation triggers aberrant astrocytic calcium signaling to impair synaptic plasticity 95%
- C-section and systemic inflammation synergize to disrupt the neonatal gut microbiota and brain development in a model of prematurity 95%
Similar papers in this journal
- HDAC4 Inhibits NMDA Receptor-Mediated Stimulation of Neurogranin Expression 95%
- A nanobody-based proximity ligation assay detects constitutive and stimulus-regulated native Arc/Arg3.1 oligomers in hippocampal neuronal dendrites 95%
- Knockdown of astrocytic monocarboxylate transporter 4 (MCT4) in the motor cortex leads to loss of dendritic spines and a deficit in motor learning 94%
Similar papers in this journal
- Neurotensin receptor 2 is induced in astrocytes and brain endothelial cells in relation to status epilepticus and neuroinflammation following pilocarpine administration in rats 96%
- Microglia control glutamatergic synapses in the adult mouse hippocampus 95%
- Astrocytic Chromatin Remodeler ATRX Gates Hippocampal Memory Consolidation through Metabolic and Synaptic Regulation 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.