{"id":"W4379470153","doi":"10.3390/md21060347","title":"The Anti-Inflammatory Effect of Low Molecular Weight Fucoidan from Sargassum siliquastrum in Lipopolysaccharide-Stimulated RAW 264.7 Macrophages via Inhibiting NF-κB/MAPK Signaling Pathways","year":2023,"lang":"en","type":"article","venue":"Marine Drugs","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Korea Institute of Marine Science and Technology promotion; Ministry of Oceans and Fisheries","keywords":"Fucoidan; Lipopolysaccharide; Inflammasome; MAPK/ERK pathway; NF-κB; Chemistry; Signal transduction; Macrophage; Tumor necrosis factor alpha; Proinflammatory cytokine; Reactive oxygen species; Viability assay; Cell biology; Inflammation; Biology; Biochemistry; Polysaccharide; Apoptosis; Immunology; In vitro","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008594043,0.0003818122,0.0004991584,0.00006719155,0.0003205517,0.0001147525,0.0005728126,0.0001752641,0.000137105],"category_scores_gemma":[0.0001947111,0.000160779,0.0002294273,0.0008469073,0.0001877267,0.0001356222,0.0006634442,0.0003803072,0.00006733111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007242188,"about_ca_system_score_gemma":0.00001664506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001720332,"about_ca_topic_score_gemma":0.000233683,"domain_scores_codex":[0.9972296,0.0004529888,0.0005931959,0.0005840094,0.0004696268,0.0006705348],"domain_scores_gemma":[0.9977601,0.001567876,0.0002811833,0.0001824962,0.00008633468,0.0001220334],"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":[0.0001169796,0.00003438291,0.03182647,0.00002491799,0.0000466917,0.00009219028,0.0001384865,0.0001620247,0.9239599,0.00002360628,0.0000204182,0.04355396],"study_design_scores_gemma":[0.0005408411,0.0001959398,0.06798391,0.00009405773,0.00002167156,0.000002221597,0.0003048934,0.003825298,0.9261069,0.000545577,0.00007797922,0.000300676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982769,0.0001227404,0.00000686107,0.0004341023,0.0002357721,0.0004427992,0.00003554999,0.0002385732,0.0002066486],"genre_scores_gemma":[0.9993969,0.00003249806,0.00002368768,0.00005594485,0.0002131231,0.0000316351,0.0001900323,0.000009330786,0.00004682816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04325328,"threshold_uncertainty_score":0.6556376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004933621217830747,"score_gpt":0.1960627264018243,"score_spread":0.1911291051839936,"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."}}