{"id":"W4389101093","doi":"10.1016/j.stem.2023.10.008","title":"VEGFA mRNA-LNP promotes biliary epithelial cell-to-hepatocyte conversion in acute and chronic liver diseases and reverses steatosis and fibrosis","year":2023,"lang":"en","type":"article","venue":"Cell stem cell","topic":"Liver physiology and pathology","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acuitas Therapeutics (Canada)","funders":"National Center for Advancing Translational Sciences; National Institute of Allergy and Infectious Diseases; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; University of Pennsylvania","keywords":"Biology; Hepatocyte; Vascular endothelial growth factor A; Steatosis; Cancer research; Fibrosis; Hepatocyte growth factor; Progenitor cell; Liver injury; Cell biology; Immunology; Vascular endothelial growth factor; Receptor; Pharmacology; Stem cell; Internal medicine; Endocrinology; Medicine; VEGF receptors; 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":[0.0001285868,0.000192977,0.0001516576,0.0001403154,0.00009310784,0.0001463591,0.00007176782,0.0001778837,0.001078206],"category_scores_gemma":[0.0000878943,0.00006827009,0.000128426,0.0000680434,0.0002222955,0.0001772795,0.0001069653,0.0004512132,0.0001811225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001574095,"about_ca_system_score_gemma":0.0002232479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003274875,"about_ca_topic_score_gemma":0.0005342845,"domain_scores_codex":[0.9999313,0.00001267814,0.000006774921,0.00001497553,0.00001689609,0.00001728305],"domain_scores_gemma":[0.9999552,0.000006210197,0.00001241599,0.00000443392,0.000006001464,0.00001578156],"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":[0.0002028603,0.00006060717,0.0001568221,0.00004760211,0.000003632475,0.00004083675,0.00001124171,0.00005970693,0.9946912,0.0001967129,0.00005827568,0.004470357],"study_design_scores_gemma":[0.00003532563,0.0009312119,0.001883241,0.000004786743,0.00001515585,0.0002058967,0.0000156102,0.0006465025,0.9940727,0.00007053286,0.002115904,0.000003043702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910269,0.002011104,0.004706087,0.0001565102,0.00006362551,0.00003725065,0.0001034926,0.0001813246,0.001713558],"genre_scores_gemma":[0.9945774,0.000734953,0.001938383,0.00005285959,0.00001378262,0.00002807523,0.0001215853,0.00002150342,0.002511499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001078206,"threshold_uncertainty_score":0.003606975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185895865865595,"score_gpt":0.2240316398940827,"score_spread":0.2121726812354267,"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."}}