{"id":"W2069933496","doi":"10.1016/j.bcp.2012.09.033","title":"Beta-d-glucoside protects against advanced glycation end products (AGEs)-mediated diabetic responses by suppressing ERK and inducing PPAR gamma DNA binding","year":2012,"lang":"en","type":"article","venue":"Biochemical Pharmacology","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Centre for DNA Fingerprinting and Diagnostics; Defence Research and Development Organisation; Council of Scientific and Industrial Research, India; AGE-WELL","keywords":"Glycation; MAPK/ERK pathway; Peroxisome proliferator-activated receptor; Chemistry; BETA (programming language); Advanced glycation end-product; Cell biology; Pharmacology; Receptor; Biology; Signal transduction; Endocrinology; Internal medicine; Biochemistry; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00008429775,0.0005054291,0.0002421428,0.0002210985,0.0001589772,0.00020262,0.0001784982,0.0002547989,0.001955272],"category_scores_gemma":[0.00007725948,0.0001642155,0.0002310361,0.0001516455,0.0002181484,0.0001638266,0.0001200125,0.0007074562,0.0004059587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001333648,"about_ca_system_score_gemma":0.0002708138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004699888,"about_ca_topic_score_gemma":0.0008949276,"domain_scores_codex":[0.9999515,0.00001097624,0.000004171525,0.000007032379,0.00000664299,0.00001965655],"domain_scores_gemma":[0.9999501,0.000006103702,0.00001290647,0.000007072927,0.000004393112,0.00001947868],"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":[0.001818611,0.0002041821,0.0002413635,0.00005070252,0.00001759733,0.00005415321,0.00001103009,0.00008786664,0.9943275,0.0001466225,0.0001167424,0.002923699],"study_design_scores_gemma":[0.0002021093,0.001694106,0.005555948,0.00001237561,0.00005378955,0.0001935275,0.00005252739,0.0004407896,0.9894953,0.0001685021,0.002120913,0.00001014479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994085,0.001550109,0.00142388,0.0002349329,0.00008981133,0.00002155412,0.0003333047,0.0001259038,0.002135567],"genre_scores_gemma":[0.9936942,0.001838794,0.001390414,0.0001828419,0.00003139301,0.00002640941,0.0005583474,0.0000215354,0.00225606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001955272,"threshold_uncertainty_score":0.006541014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190117763766505,"score_gpt":0.313327934700408,"score_spread":0.2943161583237576,"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."}}