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Record W2039041181 · doi:10.1159/000212782

Characteristics of Normal and Maturity-Onset Diabetic, (Type II Diabetes) Cell Cultures:, Life Spans and DNA Synthetic Capabilities

2009· article· en· W2039041181 on OpenAlexaff
Ralph J. Germinario, Maureen Oliveira, Susannia Manuel, Melarie Taylor

Bibliographic record

VenueGerontology · 2009
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsInsulinEndocrinologyInternal medicineDexamethasoneDiabetes mellitusStimulationDNA synthesisDNABiologyMedicineChemistryBiochemistry

Abstract

fetched live from OpenAlex

The replicative ability of fibroblasts derived from normal and type II diabetic (non-insulin-dependent) donors and their DNA synthetic capabilities in response to serum and insulin (+/- dexamethasone) have been studied. Comparative replicative life spans of the fibroblasts studied using several lots of serum showed no significant differences between the two donor groups with any lot of serum (p greater than 0.05). Insulin (i.e. 700 nM) and serum (10% v/v) stimulation of DNA synthesis in normal and type II diabetic cultures exhibited no differences in responses. The insulin:control ratios of the normal vs. type II diabetic were 1.61 +/- 0.08 vs. 1.81 +/- 0.11, respectively (p greater than 0.05) while the serum:control ratios were 3.55 +/- 0.58 vs. 4.02 +/- 0.54, respectively (p greater than 0.05). Dexamethasone amplification of the insulin-stimulated DNA synthetic response over a range of insulin concentrations (i.e. 1.6-66.6 nM) expressed no differences between the two donor groups. Additionally, calculation of the insulin concentration necessary for the half-maximal response showed no differences between the normal and diabetic groups (3.47 +/- 0.5 vs. 4.44 +/- 0.8 nM, respectively) (p greater than 0.05). The data suggest that there are no general age-related abnormalities inherent to the type II diabetic cultured cell.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.237
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2009
Admission routes1
Has abstractyes

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