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Record W3135965150

Mouse models of insulin resistance and IGF-1 deficiency in colon carcinogenesis

2007· article· en· W3135965150 on OpenAlexaff
Kafi N. Ealey, Wanli Xuan, Suying Lü, Michael C. Archer

Bibliographic record

VenueCancer Research · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHyperinsulinemiaInsulin resistanceEndocrinologyInternal medicineInsulinKnockout mouseColorectal cancerMedicineCancerReceptor
DOInot available

Abstract

fetched live from OpenAlex

2421 Insulin resistance is a risk factor for colon cancer, but it is not clear which of the metabolic consequences of insulin resistance are involved. Muscle-specific Insulin Receptor Knockout (MIRKO) mice exhibit elevated serum triglycerides (TG), free-fatty acids (FFA) and fat mass, but have normal body weight, circulating glucose and insulin and normal insulin sensitivity relative to their wild-type (WT) littermates. Liver-specific IGF-1 knockout (LID) mice have a significant reduction in circulating IGF-1 levels relative to their WT littermates. The objective of this study was to test in MIRKO mice the hypothesis that hyperlipidemia promotes colon cancer independent of changes in insulin, and in LID mice, that a reduction in IGF-1 protects against colon cancer. Seven-week old male MIRKO mice, 12-week old male and female LID mice and their WT littermates, were treated with AOM to induce aberrant crypt foci (ACF) or colon tumors. In MIRKO mice, ACF were assessed at 24 weeks of age and tumors at 40 weeks of age. Unexpectedly, the metabolic phenotype of the MIRKO mice changed significantly as the mice aged. Seven week-old MIRKO mice displayed hyperinsulinemia and at 16 weeks they displayed reduced insulin sensitivity. The previously reported MIRKO phenotype developed between 16 and 24 weeks of age. By 40 weeks of age, however, the serum metabolites as well as insulin were not different from WT, but the MIRKO mice were again insulin resistant. ACF development was not different in MIRKO and WT mice, but MIRKO mice had a reduced susceptibility to the development of tumors. Our results suggest that circulating TG and FFA are not promoters of colon carcinogenesis. Circulating adiponectin, however, was elevated in MIRKO mice by 24 weeks of age, suggesting that this adipokine may have inhibited formation of colon tumors. In LID mice, ACF were assessed at 16 and tumors at 40 weeks of age. Male and female LID mice had approximately 60% lower serum IGF-1 levels compared to WT littermates. Male LID mice were hyperinsulinemic relative to WT, though female LID mice had normal insulin levels. There was a significant inverse correlation between insulin and IGF-1 levels in males only, and there were no differences in total ACF between male LID and WT mice. Female LID mice, however, developed significantly fewer ACF compared to WT and there was a significant positive correlation between serum IGF-1 and total ACF. By 40 weeks of age, both male and female LID mice were hyperinsulinemic and there were no differences in tumor development compared to WT. There was a significant inverse correlation between insulin and IGF-1 in both males and females at this age suggesting that the reduced susceptibility to colon carcinogenesis caused by reductions in circulating IGF-1 may be masked by hyperinsulinemia. Taken together, these studies exclude circulating lipids as factors that increase risk of colon cancer development, but support the involvement of the insulin-IGF-1 axis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.002

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 head0.047
GPT teacher head0.356
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

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