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Metabolic effect of orchidectomy on C57BL6/J mice exposed to intermittent hypoxia

2022· article· en· W4225372497 on OpenAlexaff
Gauthier Ganouna‐Cohen, Britanny Blachot Minassian, François Marcouiller, Vincent Joseph

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsIntermittent hypoxiaEndocrinologyInternal medicineInsulin resistanceMedicineAdipose tissueDiabetes mellitusOxidative stressType 2 diabetesObstructive sleep apneaHypoxia (environmental)Testosterone (patch)Sleep apneaInsulinChemistry

Abstract

fetched live from OpenAlex

Introduction Sleep apnea (SA) is characterized by obstructions of the airways or cessation of breathing during sleep leading to intermittent hypoxia (IH). IH is a source of oxidative stress and inflammation altering the functions of pancreas, liver, muscles and adipose tissue. As a consequence, sleep apnea patients have a high prevalence of insulin resistance and glucose intolerance which can lead to type 2 diabetes. In mice, exposures to IH induce adipose tissue inflammation, liver injury and worsen the pancreatic β‐cell injury in a model of diabetes. While these effects are associated with insulin resistance, glucose tolerance is improved, notably via an enhanced glucose uptake by skeletal muscles. In men, sleep apnea and diabetes are also characterized by low testosterone levels. Interestingly, testosterone levels are positively corelated with insulin sensitivity in human, and low testosterone levels can be associated with inflammation, oxidative stress and insulin resistance. Therefore, we tested the hypothesis that testosterone modulates the metabolic alterations induced by IH in male mice. Method We used intact (Sham) or orchidectomized (ORX) C57BL/6J male mice exposed for 14 days to IH (12h / day, 10 cycles / h, 6% nadir oxygen) or normoxia (Nx). The animals were weighed, and we assessed body composition in terms of lean and fat mass, as well as fluid content by using a small animal MRI scanner before the surgery, before IH or Nx exposures and at the end of the protocol. The day after the last IH session, mice were fasted for 6h, we measured fasting glycaemia and insulinemia then we performed a glucose tolerance test. Results In Sham mice, IH decreased bodyweight and fat mass. This was associated with a decrease of fasting glycaemia, insulinemia and HOMA‐IR (index of insulin resistance), and improved glucose sensitivity. ORX decreased bodyweight and lean tissue mass, associated with lower fasting glycemia, insulinemia, HOMA‐IR and improved whole body glucose sensitivity. ORX mice exposed to IH had a decrease of both fat and lean tissue mass leading to further reduction of body weight. However, there was no additive effects of ORX and ORX IH for fasting glycaemia, insulinemia, HOMA‐IR and glucose sensitivity. Conclusion IH and ORX respectively reduce fat and lean tissue mass, and these effects are additive when both stimuli are applied simultaneously. Contrastingly, there are no additive effects of IH and ORX on the metabolic parameters reported here.

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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)0.000
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.021
GPT teacher head0.299
Teacher spread0.278 · 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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