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Record W4303574771 · doi:10.21926/obm.geriatr.2204206

Myokine Response to Resistance Exercise in Older Adults and the Similarities and Differences to Younger Adults: A Brief Narrative Review

2022· article· en· W4303574771 on OpenAlexaff
Dean M. Cordingley, Stephen M. Cornish

Bibliographic record

VenueOBM Geriatrics · 2022
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsUniversity of ManitobaPan Am Clinic
Fundersnot available
KeywordsMyokineSarcopeniaSkeletal muscleNarrative reviewPhysical exerciseMedicinePsychologyInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

Myokines are cytokines secreted from muscle during contraction and are implicated in autocrine, paracrine, and endocrine regulation of biological systems. It is postulated that myokines contribute to skeletal muscle adaptations in response to resistance exercise. Exercise, including resistance exercise, is an important factor in the management of maintaining skeletal muscle strength, mass, and function with aging. Sarcopenia is exacerbated with increased age and therefore, it is important to understand the potential underlying mechanisms whereby exercise may be beneficial in reducing the consequences of sarcopenia for older adults. Myokine secretion is one mechanism which is postulated to account for the benefits of exercise in aging muscle. The response of myokines to aerobic exercise in older adults have previously been reviewed; however, there is limited research focused on the response of myokines to resistance exercise. Therefore, the aim of this narrative review is to discuss the response of various myokines to an acute bout of resistance exercise and/or chronic resistance exercise training in older adults, compare the response between younger and older adults, and briefly outline the influence myokines may have on skeletal muscle adaptations.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.264
Teacher spread0.254 · 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 designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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