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Enregistrement W4205629395 · doi:10.15252/embj.2020106825

Hypophosphorylated pRb knock‐in mice exhibit hallmarks of aging and vitamin C‐preventable diabetes

2022· article· en· W4205629395 sur OpenAlexafffund
Zhe Jiang, Huiqin Li, Stephanie A. Schroer, Véronique Voisin, YoungJun Ju, Marek Pacal, Natalie Erdmann, Wei Shi, Philip E.D. Chung, Tao Deng, Nien‐Jung Chen, Giovanni Ciavarra, Alessandro Datti, Tak W. Mak, Lea Harrington, Frederick A. Dick, Gary D. Bader, Rod Bremner, Minna Woo, Eldad Zacksenhaus

Notice bibliographique

RevueThe EMBO Journal · 2022
Typearticle
Langueen
DomaineMedicine
ThématiquePancreatic function and diabetes
Établissements canadiensWestern UniversityUniversité de MontréalInstitute for Research in Immunology and CancerPrincess Margaret Cancer CentreSinai Health SystemLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalUniversity of TorontoUniversity Health Network
Organismes subventionnairesNational Center for Research ResourcesNational Institute of General Medical SciencesCanadian Institutes of Health ResearchNational Institutes of Health
Mots-clésBiologyEndocrinologyInternal medicinePhosphorylationRetinoblastoma proteinCell cycleKnockout mouseCell biologyApoptosisMedicineGenetics

Résumé

récupéré en direct d'OpenAlex

In this manuscript Jiang et al present findings pointing towards a role of pRb N-terminal phosphorylation in b-cell proliferation.They develop de RbDK7 mice, which show increased fasting glucose from age 3 months, and abnormal glucose homeostasis and decreased pancreatic islet size with aging (more than 6 months).The authors state that this phenotype is due to increased DNA-damage response and senescence in pancreatic beta cells, and identify Vitamin C enriched diet, as a means to revert their phenotype.This is indeed novel, as the role of the phosphorylation of pRb directly, has never been described in vivo, and this to my knowledge the 1st mouse model allowing it.Despite being rather well written, I find the data presented rather confusing, since the authors show a lot of results not related to their phenotype, and lack in my opinion key experiments to support their main claims.In addition, the results (in the figures) are shown in a disorganized manner, and lack key details.Out of all the images (IHC, IF, telomeres, SA-Beta-Gal), only figure 2E and 7E show scale bars, and more than half of the images have no quantification at all, despite n>3 indicated in figure legends for most experiments.Finally, the authors describe their main findings in beta-cells, but use a plethora of models, ranging from thymocytes, splenocytes, MEFs, retina, myotubes and even a breast cancer model (PyMT).I believe the findings done in those models to be of certain relevance, but they could be moved to supplementary images to free space for the findings needed to support the author's main finding.Major concerns:1.The author's main finding is that the homozygous presence of RbDK7 causes diabetes, and prevents pancreatic beta cells from proliferating, however, the "gold-standard" assay of streptozotocin [STZ]-induced diabetes was not performed.In addition, there is no figure showing an actual defect in either circulating insulin levels, or glucose/feeding induced insulin secretion.Similarly, no insulin IHC or IF is shown comparing RbDK7 and WT mice ( corresponding to Figure 5D), with the except from the single image from 14.5 pregnant female mice in Figure 5G.Importantly, insulin is not part of the differentially regulated genes identified by microarray when comparing RbDK7 and WT mice pancreatic islets.2. Glucose induced Insulin secretion from isolated mice was not measured either.3. The authors claim that the diabetic phenotype RbDK7 mice is aging dependent, but if I understood correctly, most molecular and histological analysis were performed well before the phenotype appears, suggesting that other tissues than pancreatic islets are touched.By observing the single radiograph shown in figure 4D and the single skin H-E staining shown in figure 5F, I would imagine that RbDK7 mice also have enlarged liver and lipodystrophy, with total loss of skin adipose tissue.Unfortunately, the age of the animals used for those figures is not specified in the manuscript.4. Similarly, the authors claim that the diabetic phenotype observed in RbDK7 mice is due to an increased senescence in beta cells, however, the senescence in pancreatic islets cells is not actually measured (SA-Bgal, secretion or protein of SASP proteins), see PMID 3079928. 5.Many figures lack scale bars, quantifications (and thus statistics), and clear indications of whether independent experiments were performed, making it difficult to estimate data quality/reliability. 6.Similarly, for the main findings, concerning glucose homeostasis, insulin levels, and pancreatic beta cells, the age and sex of the mice is not clearly specified in the legends or the methods (it is only specified that GSIS, ITT and GTT were performed using male mice, does it mean females were used for histology and microarray?).In addition, whereas clear differences in glucose levels are not shown before 3 months old, the analysis of pancreatic sections is performed in 10day old mice or "young mice" in others, when even specified.This is especially important since the size of pancreatic islet is known to change with age ( PMID 32005707 and PMID 27284112, and the islets of RbDK7 do not actually decrease in size (Fig 5D), they rather do not show the published age dependent expansion, and even more since the authors use islet size as a readout for islet fitness.7. Some key experiments are not at all described in the methods section, like the islet isolation and the microarray analysis.Other experiments are never detailed.Numerous key experimental details are not written, making it unlikely that the data can be reproduced in other labs.8. Some panels show no clear staining, yet the authors draw negative conclusions: KIR6.2 in fig S5 and pS15-p53 in fig S6.Minor concerns: • The panels in Figure 3H appear inverted.• The authors state that no difference in myogenesis is observed, despite only showing single images that actually point to 1: a defective myogenesis protocol in vitro, 2: a decrease of myotube differentiation in vitro, 3: a decreased in myotube thickness in vivo.The authors should either measure myogenesis properly, or remove this data from the paper, since it does not really relate to the main finding.( see PMID 23868259 and PMID 19001499) • The experiment in figure 7A should be repeated several times, to be of sufficient quality for publication.• What is stained red and green in figure 6G middle panels?• The authors should at least discuss why, despite observing, according to their own words decreased proliferation, no cell cycle/proliferation gene seems to be differentially expressed in their microarray.• The authors mention abnormal islet morphology in their discussion but show no data about that in the results section.• The authors mention loss of beta cell organization in their discussion but show no data about that in the results section.• The authors should show a survival curve of RbDK7 and WT male and female mice, to further support their premature aging clam.Referee #2: This manuscript presents an interesting mouse genetic model to study the effects of retinoblastoma protein (Rb) phosphorylation in vivo.The Rb tumor suppressor protein has been well studied for its role in various cellular processes and cancer, and its inactivation through Cdk phosphorylation is a critical mechanism driving normal and cancer cell proliferation.The authors rightly point out that to date all studies of the implications of Rb phosphorylation have been performed in vitro, and this study is the first to probe deficiencies that occur in vivo specifically from a lack of Rb phosphorylation at several sites.

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 enseignants0,007
Score d'incertitude au seuil0,023

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0070,002

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 Opus0,009
Tête enseignante GPT0,228
Écart entre enseignants0,219 · 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

Citations21
Publié2022
Routes d'admission2
Résumé présentnon

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