{"id":"W4415600010","doi":"10.1101/2025.10.27.684531","title":"Dynamic proteome profiling uncovers age-related impairments in proteostasis and the protective effects of resistance exercise in human skeletal muscle","year":2025,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sudbury Regional Hospital","funders":"Physiological Society; UK Research and Innovation","keywords":"Proteostasis; Skeletal muscle; Proteome; Protein turnover; Sarcopenia; Ribosome; Ribosomal protein; Insulin resistance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001649158,0.000202642,0.0002566648,0.0003862548,0.000128372,0.0001742792,0.0001038898,0.000199953,0.0006792086],"category_scores_gemma":[0.0001291341,0.0001388162,0.0001820165,0.0002583052,0.0001207007,0.00013312,0.0001855602,0.0001487731,0.0001626305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000908069,"about_ca_system_score_gemma":0.00006794432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000727689,"about_ca_topic_score_gemma":0.0009319795,"domain_scores_codex":[0.9999388,0.000007285681,0.000003935698,0.00002639143,0.00001349633,0.00001002002],"domain_scores_gemma":[0.9999416,0.000006668478,0.0000225635,0.000006407633,0.00001188039,0.00001085848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004286813,0.00001876055,0.009168155,0.00004851204,0.00003254141,0.00007255968,0.0000490341,0.00006953299,0.9873645,0.00001632776,0.00004710718,0.002684407],"study_design_scores_gemma":[0.00002499556,0.0006381862,0.8393639,0.00001822377,0.00009390375,0.0008535361,0.0001620258,0.002014248,0.1552753,0.0001109395,0.00143021,0.00001458181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978648,0.0008706934,0.0007664926,0.00001873147,0.000004672713,0.000007782023,0.0002915603,0.0000117633,0.0001635589],"genre_scores_gemma":[0.9969811,0.0004837787,0.001139042,0.0000397253,0.000008336782,0.00002257744,0.0005613422,0.000007490775,0.000756562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000727689,"threshold_uncertainty_score":0.002272129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00324732842455033,"score_gpt":0.2138737104314056,"score_spread":0.2106263820068553,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}