{"id":"W4408964192","doi":"10.1016/j.ejphar.2025.177563","title":"Nicotinic acid increases adipose tissue dietary fatty acid trapping and reduces postprandial hepatic and cardiac fatty acid uptake in prediabetes","year":2025,"lang":"en","type":"article","venue":"European Journal of Pharmacology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Société Francophone du Diabète","keywords":"Postprandial; Prediabetes; Adipose tissue; Fatty acid; Nicotinic agonist; Internal medicine; Endocrinology; Chemistry; Biochemistry; Diabetes mellitus; Biology; Medicine; Type 2 diabetes","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":[0.0002647124,0.0002114228,0.0004004549,0.0001268056,0.0001360481,0.0002472871,0.0001531714,0.0003049914,0.000767939],"category_scores_gemma":[0.0002162014,0.000131971,0.000139656,0.0001115968,0.0001821923,0.000112565,0.000150297,0.0004734096,0.0001043832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868435,"about_ca_system_score_gemma":0.0001814927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049686,"about_ca_topic_score_gemma":0.002714717,"domain_scores_codex":[0.9999188,0.00003386462,0.000007021481,0.000009996016,0.00001161294,0.00001875759],"domain_scores_gemma":[0.9999205,0.00001144057,0.00002120542,0.00000674325,0.000007268004,0.0000328707],"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":[0.09427221,0.00793619,0.06956043,0.0003403766,0.0003800992,0.0003420811,0.0002507936,0.0006216122,0.7269128,0.0002140478,0.0007426738,0.09842672],"study_design_scores_gemma":[0.01000169,0.1250476,0.7041308,0.00009771897,0.0007939815,0.0008874529,0.0005442935,0.003633944,0.1501683,0.0003457819,0.004303206,0.00004528157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988596,0.0005582556,0.0001666288,0.00004369382,0.000005478299,0.00001686999,0.00002807783,0.00001257769,0.0003087998],"genre_scores_gemma":[0.9987882,0.0003295898,0.0002967181,0.00008746447,0.000005751707,0.00002489416,0.00008403237,0.000002581395,0.0003807336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001049686,"threshold_uncertainty_score":0.00256902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615039502298503,"score_gpt":0.2921903481488397,"score_spread":0.2760399531258547,"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."}}