{"id":"W3192698449","doi":"10.1007/s00125-021-05538-9","title":"Deletion of heterogeneous nuclear ribonucleoprotein F in renal tubules downregulates SGLT2 expression and attenuates hyperfiltration and kidney injury in a mouse model of diabetes","year":2021,"lang":"en","type":"article","venue":"Diabetologia","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont; Centre Hospitalier de l’Université de Montréal","funders":"Clinical and Translational Science Institute, University of California, Los Angeles; Canadian Institutes of Health Research; Université de Montréal; National Center for Advancing Translational Sciences; Kidney Foundation of Canada; Canadian Society of Nephrology; Cedars-Sinai Medical Center; American Society of Nephrology","keywords":"Internal medicine; Endocrinology; Renal function; Kidney; Albuminuria; Glomerular hyperfiltration; Knockout mouse; Glomerulosclerosis; Medicine; Downregulation and upregulation; Fibrosis; Chemistry; Diabetic nephropathy; Receptor; Proteinuria","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004107395,0.0008014265,0.0006299985,0.0008139023,0.0003726901,0.0005855456,0.0005984565,0.000847311,0.001796707],"category_scores_gemma":[0.0002221629,0.0005361897,0.000684997,0.0003547866,0.0008950117,0.0005079989,0.0002794829,0.001486555,0.000416817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005590954,"about_ca_system_score_gemma":0.0004625775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158077,"about_ca_topic_score_gemma":0.002235434,"domain_scores_codex":[0.9995553,0.00006240327,0.00005144837,0.0001034974,0.0001094533,0.0001178468],"domain_scores_gemma":[0.9994387,0.00005413189,0.0002231958,0.00005081512,0.00003050785,0.0002027117],"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":[0.000646443,0.000110449,0.0001430431,0.00003749854,0.00001341487,0.00006752119,0.0000184095,0.0001139443,0.9980243,0.0002135348,0.0000553689,0.0005561392],"study_design_scores_gemma":[0.0001753783,0.0006245279,0.002557337,0.00001031096,0.00007007286,0.0002473686,0.00006791611,0.001849823,0.9925666,0.0001169003,0.001699661,0.00001410769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903752,0.000928543,0.006349835,0.0003450731,0.0001492817,0.00005347775,0.0004800742,0.0003673063,0.0009511849],"genre_scores_gemma":[0.9887868,0.0007872982,0.004518384,0.0001339587,0.00004679061,0.00009299897,0.0005759096,0.0001241451,0.004933696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001796707,"threshold_uncertainty_score":0.006010532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009719252900280312,"score_gpt":0.2283091732341005,"score_spread":0.2185899203338202,"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."}}