{"id":"W4389070094","doi":"10.1002/jcsm.13381","title":"Handelin alleviates cachexia‐ and aging‐induced skeletal muscle atrophy by improving protein homeostasis and inhibiting inflammation","year":2023,"lang":"en","type":"article","venue":"Journal of Cachexia Sarcopenia and Muscle","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Jiangxi Provincial Department of Science and Technology; Nanchang University; Education Department of Jiangxi Province; National Natural Science Foundation of China","keywords":"Myogenesis; MyoD; Myogenin; Endocrinology; Internal medicine; Muscle atrophy; Skeletal muscle; Cachexia; MyoD Protein; Medicine; Atrophy; Myogenic regulatory factors; Sarcopenia; Myosin; Tumor necrosis factor alpha; Downregulation and upregulation; Myocyte; Insulin-like growth factor; Biology; Growth factor; Receptor; Cell biology; Biochemistry","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":[0.00008122539,0.0003055676,0.0003797359,0.000301599,0.0001081578,0.0001209669,0.0001737056,0.0002370643,0.001308373],"category_scores_gemma":[0.00006584857,0.00008257839,0.0002369574,0.0001273011,0.0001528411,0.0001802089,0.0001738131,0.0004632763,0.0001263814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346223,"about_ca_system_score_gemma":0.0001383172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002533841,"about_ca_topic_score_gemma":0.0005904464,"domain_scores_codex":[0.9999591,0.000005732702,0.000004179086,0.000007981081,0.00001281761,0.0000101605],"domain_scores_gemma":[0.9999437,0.000004278688,0.00002384358,0.000004474402,0.000006993268,0.00001667564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001717979,0.0003123992,0.0004413992,0.0004083089,0.00004076997,0.0001260368,0.00002026679,0.000108428,0.9878967,0.00004909443,0.00009520707,0.008783379],"study_design_scores_gemma":[0.0009557004,0.01294479,0.04650275,0.0001038145,0.0003572392,0.0009856783,0.0001013456,0.001630779,0.9270421,0.0002265331,0.009120169,0.00002908367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920671,0.005462311,0.001068335,0.00009688214,0.00003749833,0.0000337555,0.0001985429,0.00009136368,0.0009442642],"genre_scores_gemma":[0.9912164,0.003683303,0.001481975,0.0001080539,0.00003547362,0.00005554198,0.0003829086,0.00001243135,0.003024012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001308373,"threshold_uncertainty_score":0.004376948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008810832958239272,"score_gpt":0.2377937719732121,"score_spread":0.2289829390149728,"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."}}