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Enregistrement W2762672191 · doi:10.1113/jp275251

The muscles’ grip on neurogenesis: contributions of skeletal muscle‐derived vascular endothelial growth factor to running‐induced stem cell proliferation

2017· letter· en· W2762672191 sur OpenAlexafffundabout
Timal S. Kannangara, Marc A. Vani

Notice bibliographique

RevueThe Journal of Physiology · 2017
Typeletter
Langueen
DomaineNeuroscience
ThématiqueNeurogenesis and neuroplasticity mechanisms
Établissements canadiensHeart and Stroke FoundationUniversity of Ottawa
Organismes subventionnairesCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaHeart and Stroke Foundation of Canada
Mots-clésNeurogenesisCell biologySkeletal muscleStem cellVascular endothelial growth factorEndothelial stem cellCell growthBiologyChemistryNeuroscienceAnatomyVEGF receptorsCancer researchBiochemistry

Résumé

récupéré en direct d'OpenAlex

Neurogenesis, a process through which new neurons are generated from neural stem cells (NSCs), occurs in two regions in the adult brain: the subventricular zone lining the lateral ventricles and the subgranular zone of the hippocampal dentate gyrus (DG). During their maturation within the DG, adult-generated neurons acquire unique physiological properties when compared to mature neurons, including a reduced rheobase, lowered threshold for synaptic plasticity, and dampened perisomatic inhibition. These intrinsic and extrinsic properties allow the adult-generated neuronal population to play specialized roles in hippocampal function. As such, sophisticated modulation of adult-born neurons utilizing genetic modifications to enhance or ablate neurogenesis, and optogenetic regulation to modify functional activity, has revealed the crucial contributions of these cells to spatial learning and memory, anxiety and depression. Additionally, impaired neurogenesis is often observed in a number of neurodegenerative disorders, such as Alzheimer's and Huntington's disease (reviewed in Goncalves et al. 2016). Due to the positive association of adult-generated neurons to learning and memory processes, as well as their dysregulation in neurodegenerative disorders, extensive research has been conducted to determine extrinsic regulators of hippocampal adult neurogenesis. Exercise, and running in particular, has been identified as a potent means to increase NSC proliferation and neurogenesis; however, the mechanisms have yet to be fully elucidated. One candidate that may underlie running-induced up-regulation of neurogenesis is vascular endothelial growth factor (VEGF) (reviewed in Vivar et al. 2013). VEGF is a neurotrophin produced in multiple tissue types, whose chief purpose is to stimulate the production of new blood vessels. Previous work demonstrated that intravenous administration of a VEGF antagonist abolished running-induced increases in hippocampal neurogenesis (Fabel et al. 2003), indicating that VEGF may be produced by a distant peripheral origin outside of the hippocampus. The true source of VEGF release, however, has been elusive. In a paper recently published in The Journal of Physiology, Rich et al. (2017) hypothesized that, since 60–90% of peripheral VEGF is produced in muscle, skeletal muscle may act as a source of VEGF during running-induced neurogenesis. To investigate this hypothesis, the authors generated a triple transgenic mouse (Nestin-GFP;HSACreERT2;VEGFLoxP, i.e. VEGFHSA−/−) that labelled nestin-expressing stem and progenitor cells, and permitted the inducible ablation of VEGF in human α-skeletal actin (HSA)-expressing skeletal myofibres, resulting in an ∼60% decrease in VEGF production. These transgenic mice, along with control animals with unaltered VEGF levels (Nestin-GFP;WT;VEGFLoxP, i.e. VEGFF/F), were given voluntary access to a running wheel for a 2-week training period. Although performance metric on the first day of wheel access suggests that VEGFHSA−/− mice may have altered wheel usage, the authors found no overall difference between control and VEGFHSA−/− mice in the total time spent or distance travelled on the running wheels. When running capacity was assayed with a treadmill forced-running test after voluntary running training, however, only control mice showed improvements in maximum speed and time to exhaustion. This possibility that VEGFHSA−/− mice have an altered exercise performance is further insinuated in experiments examining hippocampal VEGF in control and VEGFHSA−/− mice. After being challenged with the treadmill forced-running test, control mice were only able to show running-induced hippocampal VEGF when the treadmill speed was set to 40 cm s−1. Importantly, VEGFHSA−/− mice were unable to tolerate a treadmill speed of 40 cm s−1, and had to be tested at a lower speed. The failure of VEGFHSA−/− mice to improve exercise performance, along with possible altered performance on training onset, may be indicative of additional performance differences in VEGFHSA−/− mice. It is conceivable that the increased exhaustion may force VEGFHSA−/− mice to perform short bouts of exercise, in comparison to control VEGFF/F mice; as such, further investigation into exercise performance strategy in these transgenic mice may be revealing. In addition to the impaired exercise performance, VEGFHSA−/− mice showed a reduced level of basal hippocampal blood flow under normoxic conditions. The authors confirmed that this effect could not be attributed to a decrease in hippocampal capillary formation, since the number of dividing endothelial progenitors in the DG was the same between genotypes. Given that VEGFHSA−/− mice were examined several weeks after VEGF knockdown was initiated, it is possible that alterations to vascular structures other than endothelial progenitors, such as pericytes, or regressions to vascular density may have contributed to the observed impairments in blood flow. Following the 2-week running wheel exposure, control mice demonstrated an increased proliferative response, as evidenced by quantifying the proportion of nestin-expressing NSCs that expressed the proliferative marker 5-bromo-2′deoxyuridine (BrdU). The effect of running was not observed in VEGFHSA−/− mice, indicating that the presence of skeletal muscle VEGF is required for the running-induced increase in NSC proliferation. Thus, with this report, Rich and colleagues (2017) provide convincing evidence that peripheral VEGF is required for the exercise-induced increase in NSC proliferation. Importantly, this work also broadly supports the notion of peripheral organs distant from the hippocampus having the capacity to regulate the adult neurogenic process. In the future, the authors might consider investigating whether VEGF knockdown alters any other aspects of exercise-induced neurogenesis, such as enhanced dendritic arborization or spatial learning and memory. Another path of investigation could be to determine whether the administration of VEGF is effective in treating disorders in which neurogenesis is impaired. VEGF has been shown to influence neurogenesis when administered intracerebroventricularly, but peripheral administration has not been tested (Jin et al. 2002). This paper adds to the growing body of knowledge describing modulators of neurogenesis, and raising interesting hypotheses as to the role of skeletal muscle-derived VEGF in neurogenesis. Understanding the intricacies of the neurogenic process is fundamental to developing novel therapeutic options for those that may benefit from enhanced neurogenesis, especially those living with neurodegenerative disorders. None declared. T.S.K. and M.A.V. received Canadian Partnership for Stroke Recovery Trainee awards. The laboratory of Dr. Jean-Claude Béïque is supported by grants from the Canadian Institutes of Health Research (CIHR) and the Heart and Stroke Foundation of Canada. The laboratory of Dr. Diane Lagace is supported by CIHR and the Natural Sciences and Engineering Research Council of Canada (NSERC). We would like to thank our supervisors Drs Jean-Claude Béïque (T.S.K.) and Diane Lagace (T.S.K. and M.A.V.) as well as the members of their laboratories for their ongoing support.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,035
Tête enseignante GPT0,259
Écart entre enseignants0,224 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2017
Routes d'admission3
Résumé présentoui

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