We invite proposals for special issues that spotlight emerging areas in skeletal muscle science. Proposals should present a focused theme with clear relevance to muscle biology, rehabilitation, or performance science.

Special issues may address novel methodologies, translational studies, or collaborative consortia advancing muscle research.

Clarify recruitment and activation markers for the muscle populations studied.

Explain how muscle function outcomes were validated and replicated.

Summaries that connect molecular signals to functional performance strengthen impact.

Describe how confounders were handled in longitudinal training studies.

Discuss limitations related to cohort size or model specificity.

Explain how muscle fiber composition was measured and validated.

Report instrumentation settings for strength and power testing.

Describe adverse events or safety monitoring for interventions.

Provide baseline characteristics for all cohorts and subgroups.

Describe how missing data were handled in longitudinal analyses.

Describe how imaging regions of interest were selected.

Document data processing pipelines for omics workflows.

Include the proposed title, scope statement, and list of potential contributors. Provide a draft timeline for submission, review, and publication.

We assess proposals based on scientific merit, feasibility, and community relevance.

Report exercise protocols with intensity, frequency, and duration details.

Document imaging settings for fiber typing and morphology assays.

Report statistical thresholds used for mechanistic or clinical outcome analysis.

Provide context for translational relevance to rehabilitation or sports medicine.

Document how muscle strength or endurance outcomes were standardized.

State how fatigue or recovery outcomes were defined and compared.

Include calibration routines for dynamometers or metabolic carts.

Explain how nutrition or supplementation variables were controlled.

Summarize how muscle architecture outcomes were quantified.

Clarify sample size calculations and power assumptions.

Explain the inclusion of sex specific or age specific analyses.

Clarify assumptions in computational or modeling analyses.

Describe normalization steps for metabolomic or proteomic profiles.

Note how animal or human cohorts were stratified by age and sex.

Include details on sample handling to preserve muscle tissue integrity.

Clarify how satellite cell activation was measured and quantified.

Describe how data deposition supports future reuse and verification.

Describe randomization and blinding procedures when applicable.

Clarify the rationale for selected biomarkers and endpoints.

Document compliance rates for training or rehabilitation protocols.

Report effect sizes alongside statistical significance values.

Include time points for follow up and recovery assessments.

Report quality control steps for histology or biopsy processing.

Provide references for validated scales or questionnaires used.