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Combined effects of lithium supplementation and exercise on memory in the D2 mdx mouse

2023· article· en· W4378649921 on OpenAlexaff
Emily N. Copeland, Bianca M. Marcella, Bradley J. Baranowski, Ahmad Mohammad, Shawn M. Beaudette, Rebecca E. K. MacPherson, Val A. Fajardo

Bibliographic record

VenuePhysiology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsBrock University
Fundersnot available
Keywordsmdx mouseDuchenne muscular dystrophyNeurodegenerationEndocrinologyInternal medicineGSK-3Aerobic exerciseMedicineSERCACognitive declineNeurosciencePsychologyDystrophinChemistryDiseaseBiochemistryATPaseKinaseDementia

Abstract

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Introduction: Duchenne muscular dystrophy (DMD) is an X-linked muscle wasting disease that occurs in 1 in 3500 boys. With muscular deficits, approximately one third of patients experience cognitive difficulties, including memory loss. Recently, it was found that DBA/2J (D2) mdx mice present with memory deficits and an increased presence of Alzheimer’s disease (AD)-like markers. A common contributor to AD pathology is glycogen synthase kinase 3 (GSK3), which promotes the production of amyloid beta (Aβ) via an increase in beta secretase 1 (BACE1) content and activity. Additionally, GSK3β has been shown to limit the expression and activation of the sarco(endo)plasmic reticulum calcium (Ca2+) ATPase (SERCA), which also pathologically contributes to AD via increased free cytosolic Ca2+ and neurodegeneration. Aerobic exercise in preclinical models of AD have been shown to inhibit GSK3 and reduce BACE1 activity; however, its effects on the mdx brain remains unknown. Furthermore, whether GSK3 in combination with exercise can provide additional cognitive benefits for the mdx mouse remains unknown. Here, we examined the effects of 6 weeks of voluntary wheel running (VWR) with and without the supplementation of low dose lithium, a natural GSK3 inhibitor. We hypothesized that aerobic exercise combined with lithium supplementation (VWR+Li) would provide the most cognitive benefit via a reduction in BACE1 activity and an enhancement in SERCA activity. Methods: 5-6 weeks old mice were separated into four groups: 1) wild-type (WT) healthy controls, 2 ) mdx sedentary, 3 ) mdx VWR, and 4 ) mdx VWR+Li (50 mg/kg/day lithium chloride via drinking water). An automated novel object recognition test (NORT) was conducted on the 5th week of training. At the time of euthanasia, hippocampal and prefrontal cortex (PFC) samples were collected. All samples were subjected to BACE1 and SERCA activity assays. Results: Automated NORT analysis showed that the VWR+Li mdx mice had higher investigation times compared to the mdx sedentary group ( p < 0.05), four hours post-training, similar to WT healthy controls. In the hippocampus, the mdx VWR+Li group had lower BACE1 activity compared to the mdx sedentary group; however, VWR alone could not elicit a similar effect, despite the fact VWR+Li ran less than VWR alone ( p < 0.05). Furthermore, maximal SERCA activity was higher in the VWR+Li mdx group compared to all other groups ( p < 0.05). In the PFC, no differences in BACE1 nor SERCA activity were found between the experimental groups. Conclusions: The combined therapy of VWR and lithium supplementation in mdx mice attenuated memory deficits, which was associated with lowered BACE1 activity and elevated maximal SERCA activity in the hippocampus. This work reveals exercise in conjunction with GSK3β inhibition as a potential therapeutic for DMD. CIHR and CRC to VAF. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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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 score0.003
Threshold uncertainty score0.009

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 communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.007
GPT teacher head0.239
Teacher spread0.232 · 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
Published2023
Admission routes1
Has abstractyes

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