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Record W1650708470 · doi:10.1159/000319999

Mitochondrial Theory of Aging in Human Age-Related Sarcopenia

2010· review· en· W1650708470 on OpenAlexaff
Gianni Parise, Michael De Lisio

Bibliographic record

VenueInterdisciplinary topics in gerontology and geriatrics · 2010
Typereview
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSarcopeniaGerontologyPsychologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Understanding age-related sarcopenia and, more importantly, devising counterstrategies require an intimate knowledge of the underlying mechanism(s) of sarcopenia. The mitochondrial theory of aging (MTA) has been a leading theory on aging for the last decade; however, there is relatively little information from human tissue to support or rebut the involvement of the MTA in aging skeletal muscle. It is believed that mitochondria may contribute to sarcopenia in a stochastic fashion where regions of fibers containing dysfunctional mitochondria are forced to atrophy. Resistance exercise, a known hypertrophic stimulus, has been shown to improve the mitochondrial phenotype of aged skeletal muscle. Furthermore, activation of skeletal muscle stem cells by resistance exercise may attenuate sarcopenia in two ways. First by inducing nuclear addition to postmitotic fibers, and, second, by increasing the proportion of functional mitochondria donated by muscle stem cells in a process termed 'gene shifting'. In this chapter we review the evidence supporting the MTA, the potential to attenuate the MTA with a known hypertrophic stimuli and explore the role of muscle stem cells in gene shifting to determine the connection between mitochondrial dysfunction and age-related sarcopenia.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.953
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.072
GPT teacher head0.426
Teacher spread0.354 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations23
Published2010
Admission routes1
Has abstractyes

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