{"id":"W4386843756","doi":"10.1093/bbb/zbad135","title":"Long-term intake of α-glycerophosphocholine (GPC) suppresses microglial inflammation and blood-brain barrier (BBB) disruption and promotes neurogenesis in senescence-accelerated mice prone 8 (SAMP8)","year":2023,"lang":"en","type":"article","venue":"Bioscience Biotechnology and Biochemistry","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kieikai Research Foundation; Japan Society for the Promotion of Science; Council for Science, Technology and Innovation; Swine Innovation Porc","keywords":"Neurogenesis; Microglia; Doublecortin; Senescence; Neuroprotection; Blood–brain barrier; Inflammation; Hippocampus; Central nervous system; Neuroinflammation; Biology; Neuroscience; Endocrinology; Immunology; Cell biology; Dentate gyrus","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":[0.0001134426,0.0006446603,0.0005326366,0.0004137113,0.0001937749,0.0002056853,0.000265023,0.000449023,0.000976395],"category_scores_gemma":[0.0001257751,0.0001539468,0.0003164315,0.0002644276,0.0003528432,0.0003939926,0.0002592143,0.0009658461,0.0001819062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002210506,"about_ca_system_score_gemma":0.0003733768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008338669,"about_ca_topic_score_gemma":0.002031623,"domain_scores_codex":[0.9998627,0.00001514437,0.00001959017,0.00003507753,0.0000251751,0.00004244175],"domain_scores_gemma":[0.9998357,0.00001050548,0.00005402253,0.00001777046,0.00002260558,0.00005931585],"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":[0.001456616,0.0002555912,0.0002793394,0.00007369911,0.00001450581,0.0000669022,0.0000326534,0.00003378313,0.995834,0.00004785692,0.00004444954,0.001860564],"study_design_scores_gemma":[0.0001148095,0.004208841,0.006276516,0.00001806296,0.000068751,0.0001566903,0.0000746678,0.0002943075,0.9864163,0.00008587771,0.002272447,0.00001275283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977101,0.0008690317,0.0005829386,0.00008200647,0.00003365976,0.00002351672,0.0003705786,0.00004282152,0.0002852707],"genre_scores_gemma":[0.9919368,0.001476327,0.00228666,0.0001045641,0.00002617519,0.0001722949,0.0006969133,0.00003153365,0.003268864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000976395,"threshold_uncertainty_score":0.003266335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140738462706347,"score_gpt":0.2563817667242748,"score_spread":0.2349743820972114,"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."}}