{"id":"W4406047185","doi":"10.2337/db24-0553","title":"Renal Tubule–Specific Angiotensinogen Deletion Attenuates SGLT2 Expression and Ameliorates Diabetic Kidney Disease in Murine Models of Type 1 Diabetes","year":2025,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont; Centre Hospitalier de l’Université de Montréal","funders":"Institute of Nutrition, Metabolism and Diabetes; Canadian Institutes of Health Research; Kidney Foundation of Canada","keywords":"Endocrinology; Internal medicine; Afferent arterioles; Kidney; Angiotensin II; Losartan; Glomerular hyperfiltration; Diabetes mellitus; Streptozotocin; Diabetic nephropathy; Medicine; Renin–angiotensin system; Nephrin; Macula densa; Podocyte; Chemistry; Proteinuria; Receptor; Blood pressure","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":[0.0004052772,0.001000826,0.0007377491,0.0007697069,0.0002416267,0.0004942354,0.0004222089,0.0005174942,0.001049243],"category_scores_gemma":[0.0001714911,0.0004062345,0.0005273133,0.0003174059,0.0003800215,0.0004192519,0.000292826,0.001550566,0.0002751763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003378647,"about_ca_system_score_gemma":0.0003635317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006855508,"about_ca_topic_score_gemma":0.001310622,"domain_scores_codex":[0.9996631,0.00005597342,0.00005973246,0.00007258172,0.00007829641,0.00007036272],"domain_scores_gemma":[0.9995999,0.00001977854,0.0001643829,0.00003642884,0.00002487569,0.0001547485],"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":[0.0007377839,0.0003027606,0.0004200425,0.00008612161,0.0000244227,0.00006778587,0.00002936557,0.0001431872,0.996197,0.0001033708,0.00006995763,0.001818257],"study_design_scores_gemma":[0.0003795571,0.004100643,0.01896812,0.00004553227,0.0002321551,0.0006309942,0.000116363,0.003841775,0.9675997,0.0002114004,0.003843759,0.00002985388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923754,0.001440513,0.004206394,0.0001590476,0.00007991651,0.00006923906,0.0005300705,0.0003098274,0.0008295801],"genre_scores_gemma":[0.9875807,0.002189493,0.0056277,0.0001774225,0.00004258871,0.0001419899,0.0008659849,0.00008387899,0.003290328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001049243,"threshold_uncertainty_score":0.003510118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232111068865306,"score_gpt":0.2333498727655421,"score_spread":0.221028762076889,"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."}}