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Record W1585410256 · doi:10.1113/jphysiol.2012.240390

Peroxisome proliferator‐activated receptor γ coactivator 1‐α gene transfer restores mitochondrial biomass and improves mitochondrial calcium handling in post‐necrotic <i>mdx</i> mouse skeletal muscle

2012· article· en· W1585410256 on OpenAlexafffund
Richard Godin, Frédéric Daussin, Stéfan Matecki, Tong Li, Basil J. Petrof, Yan Burelle

Bibliographic record

VenueThe Journal of Physiology · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsMcGill University Health CentreUniversité de MontréalUniversité du Québec à Montréal
FundersCanadian Institutes of Health Research
KeywordsMitochondrionMitochondrial permeability transition poreDuchenne muscular dystrophySkeletal muscleBiologyCoactivatorMuscular dystrophyEndocrinologyCell biologyPeroxisome proliferator-activated receptorInternal medicineDownregulation and upregulationReceptorBiochemistryMedicineTranscription factorGeneticsGeneProgrammed cell deathApoptosis

Abstract

fetched live from OpenAlex

Key points Mitochondria are increasingly implicated in the pathogenesis of Duchenne muscular dystrophy (DMD). However, the extent to which the multiple facets of mitochondrial function are altered remains uncertain due to the lack of detailed assessment. Peroxisome proliferator‐activated receptor gamma coactivator 1‐alpha (PGC1α) was recently shown to improve muscle pathology in dystrophic muscle. However, the mechanisms are not fully elucidated. This study provides novel information on mitochondrial dysfunction in DMD namely that (i) loss of mitochondrial biomass precedes overt respiratory abnormalities, (ii) mitochondrial H 2 O 2 metabolism is improved at a time when no oxidative damage is detectable in the muscle, and (iii) susceptibility to permeability transition pore (PTP) opening is increased, which has only been inferred in the past, but never actually measured. This study also provides new mechanistic information regarding the beneficial effects of PGC1α overexpression upon dystrophic muscles, namely that PGC1α not only increases mitochondrial biomass but also reduces PTP opening, improves mitochondrial Ca 2+ handling and reduces the activation of Ca 2+ and mitochondria‐dependent proteases in muscles of mdx mice. These mechanisms were not examined in previous investigations, which had largely attributed the improved histopathology after PGC1α therapy to utrophin upregulation. Abstract Alterations of mitochondrial function have been implicated in the pathogenesis of Duchenne muscular dystrophy. In the present study, mitochondrial respiratory function, reactive oxygen species (ROS) dynamics and susceptibility to Ca 2+ ‐induced permeability transition pore (PTP) opening were investigated in permeabilized skeletal muscle fibres of 6‐week‐old mdx mice, in order to characterize the magnitude and nature of mitochondrial dysfunction at an early post‐necrotic stage of the disease. Short‐term overexpression of the transcriptional co‐activator PGC1α, achieved by in vivo plasmid transfection, was then performed to determine whether this intervention could prevent mitochondrial impairment and mitigate associated biochemical abnormalities. Compared with normal mice, mdx mice exhibited a lower mitochondrial biomass and oxidative capacity, greater ROS buffering capabilities, and an increased vulnerability to Ca 2+ ‐induced opening of the mitochondrial permeability transition pore complex. PGC1α gene transfer restored mitochondrial biomass, normalized the susceptibility to PTP opening and increased the capacity of mitochondria to buffer Ca 2+ . This was associated with reductions in the activity levels of the Ca 2+ ‐dependent protease calpain as well as caspases 3 and 9. Overall, these results suggest that overexpression of PGC1α in dystrophin‐deficient muscles, after the onset of necrosis, has direct beneficial effects upon multiple aspects of mitochondrial function, which may in turn mitigate the activation of proteolytic and apoptotic signalling pathways associated with disease progression.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.014
Threshold uncertainty score0.812

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.238
Teacher spread0.228 · 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 teacher head, 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

Citations82
Published2012
Admission routes2
Has abstractyes

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