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Record W4312112289 · doi:10.1101/2022.12.22.521639

Down regulation of the liver lipid metabolism induced by hypothyroidism in mice: metabolic flexibility favors compensatory mechanisms in white adipose tissue

2022· preprint· en· W4312112289 on OpenAlexaff
Lamis Chamas, Isabelle Seugnet, Odessa Tanvé, Valérie Enderlin, Marie-Stéphanie Clerget-Froidevaux

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldMedicine
TopicThyroid Disorders and Treatments
Canadian institutionsInstitut Universitaire en Santé Mentale de Québec
FundersInstitut National de la Santé et de la Recherche Médicale
KeywordsEndocrinologyInternal medicineAdipose tissueLipid metabolismBiologyInsulin resistanceWhite adipose tissueOrexigenicEnergy homeostasisBrown adipose tissueLipogenesisMetabolismMedicineInsulinObesityNeuropeptide Y receptorReceptor

Abstract

fetched live from OpenAlex

Abstract In mammals, the maintenance of energy homeostasis relies on complex mechanisms requiring tight synchronization between peripheral organs and the brain. Thyroid hormones (TH), among their pleiotropic actions, play a central role in these regulations. Hypothyroidism, which is characterized by low circulating TH levels, slows down the metabolism, leading to a reduction in energy expenditure, as well as in lipid and glucose metabolism, and to insulin resistance. Our objective was to evaluate whether metabolic deregulations induced by hypothyroidism could be avoid by regulatory mechanisms involved in metabolic flexibility. To this aim, we compared the response to hypothyroidism in two mouse strains, the wild-derived WSB/EiJ mouse strain characterized by a diet-induced obesity (DIO) resistance due to its high metabolic flexibility phenotype and the C57BL/6J mice, prone to DIO. Adult mice were fed with a low-iodine diet supplemented with 6-n-propyl-2-thiouracyl (PTU) for 7 weeks to induce hypothyroidism. Our results show that hypothyroidism, characterized by a decrease in serum T4 levels, led to metabolic deregulations, as an alteration of lipid metabolism in the liver of both strains. However, the decrease in hepatic lipid synthesis was compensated in WSB/EiJ mice by a mobilization of lipid reserves from white adipose tissue, but not in the C57BL/6J mice. No peripheral or hypothalamic inflammatory response to hypothyroidism was observed in both strains. Moreover, gene expression analysis showed that hypothyroidism stimulates the hypothalamic orexigenic circuit in both strains, but unchanged Mc4r and LepR expression in hypothyroid WSB/EiJ mice strain, which reflect their adaptability to maintain their body weight, contrary to C57BL/6J mice. Our results show that WSB/EiJ mice displayed a phenotype of resistance to metabolic dysregulations induced by hypothyroidism, by compensatory mechanisms. This response as well as their resistance to HFD-induced obesity highlights their adaptive capacities to maintain metabolic homeostasis, namely, their high metabolic flexibility, despite serum hypothyroidism. This model sheds light on the importance of local thyroid homeostasis to maintain lipid metabolism and metabolic homeostasis.

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)0.000
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.235
Teacher spread0.220 · 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
Published2022
Admission routes1
Has abstractyes

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