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Lithium Inhibition of GSK3 Uncouples SERCA Transport Efficiency in C2C12 Cells and Alters Energy Expenditure <i>in vivo</i>

2021· article· en· W3168701295 on OpenAlexafffund
Mia S. Geromella, Sophie I. Hamstra, Fereshteh Moradi, Daniel M. Marko, Brian D. Roy, Jeffrey A. Stuart, Rebecca E. K. MacPherson, Val A. Fajardo

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsThermogenesisSERCAEndocrinologyInternal medicineBrown adipose tissueChemistryThermogeninSkeletal muscleUncoupling proteinATPaseAdipose tissueMyocyteBiologyBiochemistryEnzymeMedicine

Abstract

fetched live from OpenAlex

Adaptive thermogenesis is a cellular process that accelerates energy expenditure while increasing heat production in response to prolonged cold exposure or caloric excess. Enhancing adaptive thermogenesis mechanisms may assist in combatting diet‐induced obesity. Skeletal muscle via sarco(endo)plasmic reticulum Ca 2+ ‐ATPase (SERCA) uncoupling and brown/beige adipose via mitochondrial uncoupling are the two primary sites for adaptive thermogenesis in mammals. Recent evidence has shown that glycogen synthase kinase 3 (GSK3) negatively regulates adipose‐based thermogenesis by repressing uncoupling protein‐1 expression in brown adipocytes. However, to our knowledge, there have been no studies examining whether GSK3 also negatively regulates muscle‐based thermogenesis via SERCA uncoupling. Lithium (LiCl), a known GSK3 inhibitor, has previously been shown to offset diet induced obesity in rodents. Thus, we examined the effect of LiCl treatment on energy expenditure first utilizing a cellular model followed by an in vivo mouse model. To this end, C2C12 cells were treated with 0.5 mM LiCl at the onset of differentiation for 7 days. SERCA coupling ratios were obtained by measuring the rates of Ca 2+ uptake using a fluorophore‐based assay and the rates of ATP hydrolysis using a spectrophotometric assay at physiological Ca 2+ concentrations. Our results show that when treated with LiCl, C2C12 cells had significantly reduced Ca 2+ uptake (‐59%, p = 0.03) with no change in SERCA activity. This led to a significant reduction in SERCA's coupling ratio ( p = 0.04). These results are consistent with our previous findings suggesting that LiCl increases basal respiration and SERCA's energy contribution in C2C12 cells. To support this increase in energy expenditure, our Western blot analyses identified that LiCl treatment inhibited GSK3 and showed increased levels of PGC‐1a, the master regulator of mitochondrial biogenesis. To investigate the effects of LiCl on energy expenditure in vivo , adult male C57BL/6J mice were provided 10mg/kg/day LiCl via their drinking water for 6 weeks. We have previously shown that this dose and duration of LiCl significantly inhibits GSK3 in murine skeletal muscle. On the 6 th week of treatment, mice were housed in a Promethion metabolic cage system for a period of 48h to examine daily energy expenditure via indirect calorimetry. Metabolic cage data revealed that LiCl fed mice had significantly increased energy expenditure (kcal/kg/hr; p = 0.008) compared to controls; however, the contribution from muscle‐based thermogenesis and SERCA uncoupling still needs to be examined. Altogether, these data suggest that GSK3 inhibition via LiCl treatment augments SERCA energy expenditure in muscle by uncoupling Ca 2+ transport from ATP hydrolysis. Future studies will determine whether our in vitro findings translate to the in vivo setting.

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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.233
Teacher spread0.222 · 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
Published2021
Admission routes2
Has abstractyes

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