{"id":"W4387967254","doi":"10.1016/j.apsb.2023.10.015","title":"miR-429-3p mediates memory decline by targeting MKP-1 to reduce surface GluA1-containing AMPA receptors in a mouse model of Alzheimer's disease","year":2023,"lang":"en","type":"article","venue":"Acta Pharmaceutica Sinica B","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Centre Scientifique et Technique du Bâtiment; Natural Science Foundation of Chongqing; Chongqing Medical University; National Natural Science Foundation of China","keywords":"AMPA receptor; Neuroprotection; Downregulation and upregulation; Neuroscience; microRNA; Long-term potentiation; Cell biology; Alzheimer's disease; Hippocampus; Biology; Chemistry; NMDA receptor; Receptor; Medicine; Internal medicine; Biochemistry; Gene; Disease","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":[0.0001917989,0.0006062149,0.0006476538,0.0002765753,0.0002819994,0.0003196699,0.0003625711,0.0005483538,0.001590559],"category_scores_gemma":[0.0001329619,0.0002838011,0.0004728693,0.0001567341,0.0003232947,0.0002977974,0.000244563,0.001732753,0.0007537664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295752,"about_ca_system_score_gemma":0.0003653665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005402502,"about_ca_topic_score_gemma":0.0006771636,"domain_scores_codex":[0.9997929,0.0000195398,0.00002401176,0.00005099531,0.00006501967,0.00004752351],"domain_scores_gemma":[0.9999238,0.000005736553,0.00002321067,0.00000722751,0.00001193824,0.00002799221],"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":[0.0003836052,0.0001283983,0.0001090254,0.0001082607,0.0000160032,0.000070453,0.00003413793,0.00007592705,0.9967355,0.0001965904,0.0001938246,0.001948235],"study_design_scores_gemma":[0.0001532735,0.001049457,0.002658335,0.00001724473,0.00008216126,0.0003324532,0.00004905849,0.001789112,0.9873289,0.0002502982,0.006275924,0.00001377043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789306,0.004381784,0.009045328,0.0007208852,0.0004383109,0.0001795833,0.001332642,0.0007820438,0.004188914],"genre_scores_gemma":[0.9852593,0.002586618,0.00496562,0.000350724,0.00005459128,0.0002907355,0.0009238976,0.00008420451,0.005484274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001590559,"threshold_uncertainty_score":0.005320907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04266582167154451,"score_gpt":0.3431579018455809,"score_spread":0.3004920801740364,"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."}}