MétaCan
Menu
Back to cohort
Record 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 on OpenAlexaboutno aff
Amira Klip

Bibliographic record

VenueAmerican Journal of Physiology-Endocrinology and Metabolism · 2007
Typeletter
Languageen
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsnot available
Fundersnot available
KeywordsEditorial boardGlycogen synthaseGSK-3Library scienceGlycogenGerontologyPhosphorylationMedicineBiologyInternal medicineBiochemistryComputer science

Abstract

fetched live from 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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.258
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Physiology-Endocrinology and MetabolismSame topicGlycogen Storage Diseases and MyoclonusFrench-language works237,207