{"id":"W4379365438","doi":"10.1016/j.chom.2023.05.011","title":"Gut bacterial metabolism contributes to host global purine homeostasis","year":2023,"lang":"en","type":"article","venue":"Cell Host & Microbe","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Metabolomics Innovation Centre; National Institutes of Health; Novo Nordisk Fonden; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Riksförbundet HjärtLung; Hjärt-Lungfonden; Fondation Leducq; Knut och Alice Wallenbergs Stiftelse; AFA Försäkring","keywords":"Biology; Purine metabolism; Purine; Bacteria; Gut flora; Catabolism; Uric acid; Microbial metabolism; Microbiology; Homeostasis; Host (biology); Metabolism; Biochemistry; Cell biology; Genetics; Enzyme","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":[0.0001763894,0.0002906698,0.0003727068,0.0003014788,0.0001784802,0.000643066,0.0001060531,0.0002702771,0.0005626598],"category_scores_gemma":[0.0002515595,0.0001320281,0.0001294416,0.0002093026,0.0002559542,0.0002516494,0.000390325,0.0002958296,0.0001243981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666795,"about_ca_system_score_gemma":0.0001799631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004669273,"about_ca_topic_score_gemma":0.0006179066,"domain_scores_codex":[0.99985,0.00003593248,0.000007503352,0.00004703906,0.00002880562,0.00003057241],"domain_scores_gemma":[0.9997755,0.00002600088,0.0001014137,0.00001725223,0.0000216452,0.00005816918],"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":[0.0004981607,0.00002097541,0.024859,0.00009122014,0.00004958129,0.000211648,0.00006710518,0.0002141282,0.9629872,0.0003009999,0.00006027012,0.01063974],"study_design_scores_gemma":[0.00003187734,0.00101116,0.6352968,0.00009785531,0.000236162,0.002765814,0.0004118487,0.004349761,0.3472814,0.002148894,0.006325529,0.0000428472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884644,0.006343516,0.003800904,0.0001591651,0.0000140988,0.000007953945,0.0001758361,0.00006121649,0.0009728338],"genre_scores_gemma":[0.9964702,0.001546548,0.001531501,0.00003451409,0.00001159398,0.000005508908,0.00008046913,0.000007458736,0.0003122142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000643066,"threshold_uncertainty_score":0.001882315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007478646978331785,"score_gpt":0.2546134888603626,"score_spread":0.2471348418820308,"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."}}