{"id":"W4323347622","doi":"10.1111/cns.14143","title":"<scp>MicroRNA</scp>‐128 suppresses tau phosphorylation and reduces amyloid‐beta accumulation by inhibiting the expression of <scp>GSK3β</scp>, <scp>APPBP2</scp>, and <scp>mTOR</scp> in Alzheimer's disease","year":2023,"lang":"en","type":"article","venue":"CNS Neuroscience & Therapeutics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Guangdong Science and Technology Department; Science, Technology and Innovation Commission of Shenzhen Municipality; Innovation and Technology Commission","keywords":"PI3K/AKT/mTOR pathway; Phosphorylation; microRNA; Disease; Chemistry; Biochemistry; Gene; Medicine; Signal transduction; Internal medicine","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":[0.0001487685,0.0003362576,0.0002710096,0.0001889797,0.0001170439,0.0002105016,0.0002055058,0.0002174053,0.001063166],"category_scores_gemma":[0.0001104351,0.0001295373,0.0002120968,0.000101268,0.0002468628,0.00014207,0.0001061275,0.0004587159,0.0003493836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002350278,"about_ca_system_score_gemma":0.0002785043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004048977,"about_ca_topic_score_gemma":0.0007008223,"domain_scores_codex":[0.9998945,0.00001641083,0.00001479346,0.00001988124,0.00003633818,0.00001800386],"domain_scores_gemma":[0.9999394,0.000007855918,0.00002209091,0.000007387007,0.000009722706,0.00001349126],"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":[0.0002257763,0.00005569191,0.0001243815,0.00004059184,0.00000683242,0.00001968556,0.000006096588,0.00006675901,0.9978002,0.00006573805,0.00009967366,0.0014886],"study_design_scores_gemma":[0.00007127393,0.0007254513,0.003130993,0.000006673073,0.00003205207,0.0003164594,0.00001427597,0.001126255,0.991461,0.00004623473,0.003064227,0.000005112935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943742,0.001318893,0.001790934,0.0001194784,0.00004730437,0.00004263506,0.0003530934,0.000211444,0.00174203],"genre_scores_gemma":[0.9929381,0.0009566961,0.003127702,0.00007797592,0.00001821091,0.00008223442,0.0005162401,0.00003260937,0.002250257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001063166,"threshold_uncertainty_score":0.003556669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03386938953998631,"score_gpt":0.2883676717882803,"score_spread":0.254498282248294,"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."}}