Cellular mechanisms of brain-derived neurotrophic factor mediated synapse reorganization following hippocampal injury
Notice bibliographique
Résumé
Brain injury and neurological disorders can adversely impact the way that we communicate with the environment and therefore detrimentally affect quality of life for patients.Synapses, which are important neuronal structures that mediate communication between neurons, can become dysfunctional after brain injury.It is generally thought that synaptic dysfunction underlies the cognitive deficits that patients experience following brain injury and disease.As such, synapses represent an interesting target for therapeutic intervention in order to limit the damage that brain insults have on cognition.In the case of post-traumatic epilepsy and ischemia, both excitatory and inhibitory synapses are remodelled, which can have devastating effects to existing functional neuronal networks.Though there are some theories on how trauma can lead to long-term functional deficits through neurocircuitry reorganization, there is still a paucity of information on the cellular mechanisms underlying synapse remodeling.In this thesis, I studied the role of the neurotrophin, brain-derived neurotrophic factor (BDNF) in synaptic reorganization following hippocampal injury, a brain region which is important for learning and memory.BDNF plays a crucial role in development of both excitatory glutamatergic and inhibitory GABAergic synapses.Interestingly, BDNF is highly upregulated after many different types of brain injury, including stroke and epilepsy.Some neuroscientists believe that this increase in BDNF is an attempt by the brain to ameliorate injury, but may actually revert the central nervous system to a more juvenile and aberrant state thereby provoking further injury.In my thesis I hypothesized that (1) BDNF can downregulate excitatory and inhibitory neurotransmission following ischemia, (2) BDNF mediates axonal reorganization and network hyperexcitability in a model of post-traumatic epilepsy and (3) BDNF-mediated axonal reorganization is due to a misappropriation of activity-dependent transcription of the Bdnf gene.v In order to test my hypotheses, I used organotypic hippocampal slice cultures and subjected them to two well-established in vitro models of hippocampal injury for long-term studies on neuronal networks: (1) oxygen-glucose deprivation, focusing on area CA1, the hippocampal region most susceptible to ischemia and (2) Schaffer collateral lesion, focusing on area CA3, the region where axon sprouting and hyperexcitability occurs in response to Schaffer collateral injury.I then combined confocal microscopy, immunofluorescence, molecular biology and electrophysiology to study synapse function, morphology and signaling.I found that after ischemia to organotypic hippocampal slices, BDNF can downregulate GABAergic synapses structurally and functionally through the high-affinity TrkB receptor.Moreover, I found that proBDNF, the precursor protein of BDNF, can downregulate glutamatergic synapses structurally and functionally through the low-affinity p75 NTR receptor.Accordingly, my findings identify distinct signaling cascades that specifically provoke acute excitatory or inhibitory synapse loss after ischemia.Therefore, these signaling cascades represent putative therapeutic targets for prevention of cognitive deficits following ischemic stroke.I next wanted to determine if BDNF played a role in another type of hippocampal injury such as post-traumatic epilepsy.Using the Schaffer collateral transection model, I found that bdnf mRNA expression is upregulated shortly following a lesion and that scavenging BDNF with TrkB-Fc prevented lesion-induced axonal remodeling and inhibited the formation of a recurrent network.Given that axonal remodelling is a classic hallmark of post-traumatic epilepsy, my data identifies a specific therapeutic pathway that may prevent epileptogenesis in patients following traumatic brain injury.Lastly, in order to better understand the source of this BDNF and also identify other therapeutic targets to prevent injury-induced synaptic reorganization, I tested the involvement of vi methyl CpG binding protein 2 (MeCP2) regulation of activity-dependent transcription of Bdnf on CA3 pyramidal neuron hyperexcitability.I found that MeCP2 became phosphorylated at serine 421, a molecular switch for activating bdnf transcription, shortly following Schaffer collateral lesion.In addition, I found that this injury-induced pMeCP2 upregulation could be prevented by inhibiting Ca 2+ /Calmodulin kinase II (CaMKII).Interestingly, I found that inhibiting CaMKII did not prevent CA3 pyramidal neuron hyperexcitability, suggesting that Ca 2+ -dependent regulation of pMeCP2 does not underlie synaptic reorganization induced by BDNF.Taken together, my results enhance our understanding of how BDNF-mediated synaptic plasticity can be misappropriated after hippocampal injury and that this underlies synaptic reorganization and dysfunction.In conclusion, my work provides a mechanistic basis for further study of BDNF signaling after acquired brain injuries in rodents and higher mammals in vivo.Consequently, findings from my work may lead to the development of specific therapeutic targets that enhance cognitive recovery following brain injury.vii
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».