{"id":"W2481117352","doi":"10.1139/cjpp-2016-0066","title":"Hyperoside ameliorates glomerulosclerosis in diabetic nephropathy by downregulating miR-21","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Diabetic nephropathy; Medicine; Diabetes mellitus; Glomerulosclerosis; Hyperoside; Nephropathy; Pharmacology; Internal medicine; Proteinuria; Urology; Endocrinology; Chemistry; Kidney; Quercetin; Antioxidant; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001288205,0.0003347289,0.0003638524,0.0002378311,0.0001637585,0.0002346205,0.0001794433,0.000213522,0.001067873],"category_scores_gemma":[0.00008323671,0.0001200206,0.000245697,0.0001533463,0.0002054006,0.0002101422,0.0001797942,0.0006239024,0.0001810246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001546111,"about_ca_system_score_gemma":0.0002778571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002596831,"about_ca_topic_score_gemma":0.0006153701,"domain_scores_codex":[0.9998906,0.00002415783,0.00001289379,0.00001708367,0.00003187188,0.00002353964],"domain_scores_gemma":[0.9999546,0.000005052743,0.00001626179,0.000004096639,0.000007193,0.00001289892],"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":[0.0005776113,0.0001571455,0.0004261956,0.0001736377,0.0000234362,0.00009735385,0.00002350398,0.00009201153,0.990682,0.0002070121,0.000128363,0.007411752],"study_design_scores_gemma":[0.0001784063,0.002565101,0.01336189,0.00002830083,0.00019053,0.0005644394,0.0000750362,0.001615176,0.9697443,0.0002741249,0.01138462,0.00001810358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775537,0.01409867,0.004087146,0.0003311166,0.0001255943,0.00007441773,0.0002722399,0.0002220942,0.003235023],"genre_scores_gemma":[0.9886628,0.006043297,0.002782899,0.0001759709,0.00003758901,0.000075908,0.0002455187,0.00002547872,0.001950408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001067873,"threshold_uncertainty_score":0.003572404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007299873589352925,"score_gpt":0.2301620751547132,"score_spread":0.2228622015653603,"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."}}