{"id":"W4414708617","doi":"10.1016/j.omtm.2025.101600","title":"Lactic acid improves Treg manufacturing and in vivo function","year":2025,"lang":"en","type":"article","venue":"Molecular Therapy — Methods & Clinical Development","topic":"Gastrointestinal motility and disorders","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Centre of Excellence for Women's Health; BC Cancer Agency; BC Children's Hospital; University of British Columbia","funders":"Breakthrough T1D Canada; Institute of Nutrition, Metabolism and Diabetes; Canadian Institutes of Health Research; University of British Columbia; Michael Smith Health Research BC; BC Children's Hospital; Juvenile Diabetes Research Foundation Canada","keywords":"Autoimmunity; Immune system; Lactic acid; Cell therapy; Chimeric antigen receptor; In vivo; Regulatory T cell; Stimulation; Cell; T cell","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003721655,0.0003822708,0.0002587851,0.0002480941,0.0001576097,0.0004820165,0.0001925403,0.0002711448,0.001545473],"category_scores_gemma":[0.0002597235,0.0001013306,0.0002147519,0.0001205826,0.0001652431,0.0002035391,0.0002927525,0.0005147365,0.0004163651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306951,"about_ca_system_score_gemma":0.0001634435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002396293,"about_ca_topic_score_gemma":0.0004467942,"domain_scores_codex":[0.999703,0.00009712238,0.0000267218,0.00004830131,0.00006534439,0.00005950253],"domain_scores_gemma":[0.9998105,0.00003986091,0.00004499597,0.00002859417,0.00002797991,0.00004797842],"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":[0.000297879,0.00007235383,0.0001813915,0.00002856034,0.000002972218,0.00002648513,0.00001587052,0.0001250259,0.9958848,0.00006565837,0.00004087492,0.003258028],"study_design_scores_gemma":[0.00001936343,0.0007231492,0.0007129587,0.00000668818,0.00001517394,0.0001125024,0.00001188528,0.0004834176,0.9958555,0.00003472475,0.002021901,0.000002766185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696203,0.00336411,0.0216258,0.0001799512,0.0001099913,0.00008083574,0.000426597,0.0003178886,0.004274456],"genre_scores_gemma":[0.9869009,0.0007642453,0.008938896,0.00008776705,0.00002892021,0.00005650305,0.0004239616,0.00009303437,0.002705815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001545473,"threshold_uncertainty_score":0.005170047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04562908937418795,"score_gpt":0.4144515319733403,"score_spread":0.3688224425991524,"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."}}