{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T04:25:27Z","timestamp":1773721527075,"version":"3.50.1"},"reference-count":73,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T00:00:00Z","timestamp":1623196800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Engineering in Life Sciences"],"published-print":{"date-parts":[[2021,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Recent studies have shown perturbed gut microbiota associated with gouty arthritis, a metabolic disease characterized by an imbalance between uric acid production and excretion. To mechanistically investigate altered microbiota metabolism associated with gout disease, 16S rRNA gene amplicon sequence data from stool samples of gout patients and healthy controls were computationally analyzed through bacterial community metabolic models. Patient\u2010specific community models constructed with the metagenomics modeling pipeline, mgPipe, were used to perform k\u2010means clustering of samples according to their metabolic capabilities. The clustering analysis generated statistically significant partitioning of samples into a\n                    <jats:italic>Bacteroides<\/jats:italic>\n                    \u2010dominated, high gout cluster and a\n                    <jats:italic>Faecalibacterium<\/jats:italic>\n                    \u2010elevated, low gout cluster. The high gout cluster was predicted to allow elevated synthesis of the amino acids D\u2010alanine and L\u2010alanine and byproducts of branched\u2010chain amino acid catabolism, while the low gout cluster allowed higher production of butyrate, the sulfur\u2010containing amino acids L\u2010cysteine and L\u2010methionine, and the L\u2010cysteine catabolic product H\n                    <jats:sub>2<\/jats:sub>\n                    S. By expanding the capabilities of mgPipe to provide taxa\u2010level resolution of metabolite exchange rates, acetate, D\u2010lactate and succinate exchanged from\n                    <jats:italic>Bacteroides<\/jats:italic>\n                    to\n                    <jats:italic>Faecalibacterium<\/jats:italic>\n                    were predicted to enhance butyrate production in the low gout cluster. Model predictions suggested that sulfur\u2010containing amino acid metabolism generally and H\n                    <jats:sub>2<\/jats:sub>\n                    S more specifically could be novel gout disease markers.\n                  <\/jats:p>","DOI":"10.1002\/elsc.202100003","type":"journal-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T10:34:20Z","timestamp":1623234860000},"page":"489-501","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Interrogation of the perturbed gut microbiota in gouty arthritis patients through in silico metabolic modeling"],"prefix":"10.1002","volume":"21","author":[{"given":"Michael A.","family":"Henson","sequence":"first","affiliation":[{"name":"Department of Chemical Engineering and the Institute for Applied Life Sciences University of Massachusetts  Amherst MA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,6,9]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/nu7010017"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.4161\/gmic.19897"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/19490976.2016.1145374"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00394-017-1445-8"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/ncp.10489"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mib.2020.03.002"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/1462-2920.13318"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12275-018-8238-5"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpg.2017.10.008"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrmicro2540"},{"key":"e_1_2_9_12_1","first-page":"19","article-title":"Interaction of the microbiota with the human body in health and diseases","author":"Altives A","year":"2019","journal-title":"Bioscience of Microbiota, Food and Health"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13073-016-0307-y"},{"key":"e_1_2_9_14_1","first-page":"47","volume-title":"The Gut Microbiota and Inflammatory Bowel Disease","author":"Matsuoka K"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-micro-091014-104115"},{"key":"e_1_2_9_16_1","first-page":"1","article-title":"Metabolites linking the gut microbiome with risk for type 2 diabetes","author":"Zhu T","year":"2020","journal-title":"Current Nutrition Reports"},{"key":"e_1_2_9_17_1","first-page":"1","article-title":"Profile of the gut microbiota of adults with obesity: a systematic review","author":"Crovesy L","year":"2020","journal-title":"European Journal of Clinical Nutrition"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCRESAHA.117.309715"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41564-018-0337-x"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12934-020-01313-4"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12916-017-0922-5"},{"key":"e_1_2_9_22_1","first-page":"1","volume-title":"Hyperuricemic Syndromes: Pathophysiology and Therapy","author":"Peronato G","year":"2005"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.abb.2019.06.010"},{"key":"e_1_2_9_24_1","doi-asserted-by":"publisher","DOI":"10.1136\/annrheumdis-2016-209707"},{"key":"e_1_2_9_25_1","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2018.00160"},{"key":"e_1_2_9_26_1","doi-asserted-by":"publisher","DOI":"10.1172\/JCI42344"},{"key":"e_1_2_9_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12325-014-0175-z"},{"key":"e_1_2_9_28_1","first-page":"831","article-title":"Diagnosis, treatment, and prevention of gout","volume":"90","author":"Hainer BL","year":"2014","journal-title":"Am. 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