{"id":"W3106557176","doi":"10.1016/j.ynstr.2020.100271","title":"Long-term effects of stress early in life on microRNA-30a and its network: Preventive effects of lurasidone and potential implications for depression vulnerability","year":2020,"lang":"en","type":"article","venue":"Neurobiology of Stress","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Janssen Pharmaceuticals; Medical Research Council; Angelini Pharma; National Institute for Health and Care Research; Ministero dell’Istruzione, dell’Università e della Ricerca; H. Lundbeck A/S; Fondazione Cariplo; Servier; European Commission; Sunovion","keywords":"Epigenetics; Lurasidone; Prefrontal cortex; microRNA; Schizophrenia (object-oriented programming); DNA methylation; Neuroscience; Mechanism (biology); Hippocampus; Psychology; Depression (economics); Antipsychotic; Medicine; Bioinformatics; Psychiatry; Biology; Gene; Genetics; Cognition; Gene expression","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":[0.00007987803,0.0002543615,0.000283405,0.0001618898,0.0001526877,0.0002163342,0.0001011894,0.0001585121,0.0008770102],"category_scores_gemma":[0.0001469286,0.0001101878,0.0002312715,0.00008202352,0.0001973519,0.00011233,0.0002013736,0.0003283278,0.0001174595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002497978,"about_ca_system_score_gemma":0.0002784156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013205,"about_ca_topic_score_gemma":0.001986406,"domain_scores_codex":[0.9999272,0.00001154807,0.000005187213,0.00002629099,0.00001131584,0.00001842155],"domain_scores_gemma":[0.9999117,0.000008181537,0.00003539722,0.000006666944,0.00001061709,0.00002750013],"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":[0.001264246,0.000100131,0.01298008,0.0001588939,0.00008261016,0.0003345718,0.0001551733,0.000128161,0.966653,0.0002750525,0.0002109287,0.01765711],"study_design_scores_gemma":[0.00006625178,0.002071528,0.6403108,0.00008586374,0.0002946302,0.001315904,0.0005636043,0.00214591,0.3431733,0.0009810207,0.008947267,0.00004394454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922785,0.004533492,0.001288686,0.0002257216,0.00003506154,0.0000128695,0.000517863,0.00006580042,0.001042118],"genre_scores_gemma":[0.9961113,0.001661559,0.0008560372,0.0001008962,0.000008804236,0.00002359158,0.0002257631,0.00001109886,0.001000982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001013205,"threshold_uncertainty_score":0.002933919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725099212321568,"score_gpt":0.2778103565742084,"score_spread":0.2605593644509928,"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."}}