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Enregistrement W2105707848 · doi:10.1152/ajpendo.00731.2007

Kei on GSK: a contribution by the 2007 recipient of the Young Scientist Award

2007· letter· en· W2105707848 sur OpenAlexaboutno aff
Amira Klip

Notice bibliographique

RevueAmerican Journal of Physiology-Endocrinology and Metabolism · 2007
Typeletter
Langueen
DomaineMedicine
ThématiqueGlycogen Storage Diseases and Myoclonus
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEditorial boardGlycogen synthaseGSK-3Library scienceGlycogenGerontologyPhosphorylationMedicineBiologyInternal medicineBiochemistryComputer science

Résumé

récupéré en direct d'OpenAlex

EDITORIAL FOCUSKei on GSK: a contribution by the 2007 recipient of the Young Scientist AwardAmira KlipAmira KlipPublished Online:01 Jan 2008https://doi.org/10.1152/ajpendo.00731.2007This is the final version - click for previous versionMoreSectionsPDF (29 KB)Download PDF ToolsExport citationAdd to favoritesGet permissionsTrack citations from time to time, we like to highlight articles authored by winners of the awards offered by the American Physiological Society. The Endocrinology and Metabolism section of APS conferred the 2007 Young Scientist Award to Kei Sakamoto, PhD. Kei is a prolific young scientist who has contributed to the American Journal of Physiology-Endocrinology and Metabolism with numerous publications and by serving on its Editorial Board since January 2007.Kei began his doctoral training at Yokohama City University in his native Japan, but soon transferred to the Joslin Diabetes Center/Harvard Medical School to complete it under the supervision of Dr. Laurie Goodyear. In 2003 he joined the group led by Dr. Dario Alessi at the MRC Protein Phosphorylation Unit of the University of Dundee for further training as a postdoctoral fellow. Since January 2006 he has been a Principal Investigator in the same Unit, and this year he was appointed Head of Molecular Physiology.What is Kei focusing on now? These days it is glycogen metabolism.Muscle glycogen synthesis is stimulated by insulin, and this depends on increased glucose transport and phosphorylation to glucose 6-phosphate, an allosteric activator of glycogen synthase, along with the activation of glycogen synthase by insulin-promoted dephosphorylation of the enzyme on sites Ser641 and Ser645. Insulin achieves the latter by inactivating glycogen synthase kinase-3 (GSK-3). Insulin-stimulated Akt phosphorylates and inactivates both the α- and β-isoforms of GSK-3, thus allowing for a net decrease in glycogen synthase phosphorylation at Ser641/645. Hence, it has been thought that insulin stimulates glycogen synthesis largely by dephosphorylating glycgen synthase through the PI3K-PKB-GSK-3 pathway. The study by Sakamoto and colleagues (1), highlighted below, provides genetic evidence that the insulin-stimulated muscle can synthesize glycogen normally in the absence of this system.The story began with a previous study in which Kei participated as a postodoctoral fellow in the group of Dr. Dario Alessi. McManus, Sakamoto, Alessi, and colleagues created a genetically modified homozygous mouse model in which the two endogenous GSK-3 genes had been eliminated and replaced, through gene knockin (KI), by corresponding genes encoding mutations at the NH2-terminal phosphorylation sites [from serine to alanine residues (2)]. The clear advantage of such a model is the complete replacement of the wild-type kinases with constitutively active forms whose expression is transcriptionally regulated by the wild-type GSK-3 gene promoters.Sakamoto and colleagues [Bouskila et al. (1)] now took advantage of that mouse model to show that, compared with wild-type littermates, muscles from these KI mice have similar glycogen content in the fasted and fed state or following a bolus injection of glucose, despite lack of insulin-stimulated glycogen synthase activity. The muscles from the KI mice also had similar rates of glycogen accumulation compared with controls 1 or 2 h after exposure to insulin in vitro. As well, insulin increased normally both glucose transport and glucose 6-phosphate levels in KI mice. Furthermore, KI mice did not have compensatory alterations in glycogen metabolism muscle phosphorylase activity and responded normally to epinephrine by inhibition of glycogen synthase and stimulation of glycogen phosphorylase. The authors suggest, by extrapolation of the results, that glucose 6-phosphate may be the major regulator of insulin-stimulated glycogen accumulation. This is an intriguing proposition that will likely elicit further direct analysis, a challenge that Kei Sakamoto contemplates, probably along with many of our reader experts in this area.We are pleased to highlight the work of this young scientist and hope that it will inspire young investigators in pursuit of the intricacies of endocrinology and metabolism.REFERENCES1 Bouskila M, Hirshman M, Jensen J, Goodyear L, Sakamoto K. Insulin promotes glycogen synthesis in the absence of GSK3 phosphorylation in skeletal muscle. Am J Physiol Endocrinol Metab (November 6, 2007). doi:10.1152/ajpendo.0407.2007.Google Scholar2 McManus EJ, Sakamoto K, Armit LJ, Ronaldson L, Shapiro N, Marquez R, Alessi DR. Role that phosphorylation of GSK3 plays in insulin and Wnt signalling defined by knockin analysis. EMBO J 24: 1571–1583, 2005.Crossref | PubMed | ISI | Google ScholarAUTHOR NOTESAddress for reprint requests and other correspondence: A. Klip, Division of Cell Biology, The Hospital for Sick Children, Toronto, ON, M5G 1X8 Canada (e-mail: [email protected]) Download PDF Previous Back to Top Next FiguresReferencesRelatedInformation More from this issue > Volume 294Issue 1January 2008Pages E27-E27 Copyright & PermissionsCopyright © 2008 by American Physiological Societyhttps://doi.org/10.1152/ajpendo.00731.2007PubMed18042667History Published online 1 January 2008 Published in print 1 January 2008 Metrics

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,129
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,003
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,007
Tête enseignante GPT0,258
Écart entre enseignants0,251 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
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

Citations0
Publié2007
Routes d'admission1
Résumé présentoui

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