{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T20:27:02Z","timestamp":1791404822549,"version":"4.3.3"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,2,23]],"date-time":"2017-02-23T00:00:00Z","timestamp":1487808000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2017,2,23]],"date-time":"2017-02-23T00:00:00Z","timestamp":1487808000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Liver disease is a major source of morbidity and mortality in children with short bowel syndrome (SBS). SBS-associated microbial dysbiosis has recently been implicated in the development of SBS-associated liver disease (SBS-ALD), however the pathological implications of this association have not been explored. In this study high-throughput sequencing of colonic content from the well-validated piglet SBS-ALD model was examined to determine alterations in microbial communities, and concurrent metabolic alterations identified in urine samples via targeted mass spectrometry approaches (GC-MS, LC-MS, FIA-MS) further uncovered impacts of microbial disturbance on metabolic outcomes in SBS-ALD. Multi-variate analyses were performed to elucidate contributing SBS-ALD microbe and metabolite panels and to identify microbe-metabolite interactions. A unique SBS-ALD microbe panel was clearest at the genus level, with discriminating bacteria predominantly from the\n                    <jats:italic>Firmicutes<\/jats:italic>\n                    and\n                    <jats:italic>Bacteroidetes<\/jats:italic>\n                    phyla. The SBS-ALD metabolome included important alterations in the microbial metabolism of amino acids and the mitochondrial metabolism of branched chain amino acids. Correlation analysis defined microbe-metabolite clustering patterns unique to SBS-ALD and identified a metabolite panel that correlates with dysbiosis of the gut microbiome in SBS.\n                  <\/jats:p>","DOI":"10.1038\/srep43326","type":"journal-article","created":{"date-parts":[[2017,2,23]],"date-time":"2017-02-23T05:38:24Z","timestamp":1487828304000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Unravelling the metabolic impact of SBS-associated microbial dysbiosis: Insights from the piglet short bowel syndrome model"],"prefix":"10.1038","volume":"7","author":[{"given":"Prue M.","family":"Pereira-Fantini","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sean G.","family":"Byars","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"Pitt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susan","family":"Lapthorne","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fiona","family":"Fouhy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul D.","family":"Cotter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie E.","family":"Bines","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,2,23]]},"reference":[{"key":"BFsrep43326_CR1","doi-asserted-by":"publisher","first-page":"e722","DOI":"10.1016\/j.jpeds.2012.03.062","volume":"161","author":"RH Squires","year":"2012","unstructured":"Squires, R. H. et al. Natural history of pediatric intestinal failure: initial report from the Pediatric Intestinal Failure Consortium. J Pediatr 161, 723\u2013728, e722, doi: 10.1016\/j.jpeds.2012.03.062 (2012).","journal-title":"J Pediatr"},{"key":"BFsrep43326_CR2","doi-asserted-by":"publisher","first-page":"S70","DOI":"10.1053\/j.gastro.2005.10.066","volume":"130","author":"DA Kelly","year":"2006","unstructured":"Kelly, D. A. Intestinal failure-associated liver disease: what do we know today? Gastroenterology 130, S70\u201377, doi: 10.1053\/j.gastro.2005.10.066 (2006).","journal-title":"Gastroenterology"},{"key":"BFsrep43326_CR3","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1097\/00005176-199808000-00001","volume":"27","author":"JM Sondheimer","year":"1998","unstructured":"Sondheimer, J. M., Asturias, E. & Cadnapaphornchai, M. Infection and cholestasis in neonates with intestinal resection and long-term parenteral nutrition. J Pediatr Gastroenterol Nutr 27, 131\u2013137 (1998).","journal-title":"J Pediatr Gastroenterol Nutr"},{"key":"BFsrep43326_CR4","doi-asserted-by":"crossref","unstructured":"Davidovics, Z. H. et al. The Fecal Microbiome in Pediatric Patients With Short Bowel Syndrome. JPEN J Parenter Enteral Nutr, doi: 10.1177\/0148607115591216 (2015).","DOI":"10.1177\/0148607115591216"},{"key":"BFsrep43326_CR5","doi-asserted-by":"crossref","unstructured":"Korpela, K. et al. Intestinal Microbiota Signatures Associated With Histological Liver Steatosis in Pediatric-Onset Intestinal Failure. JPEN J Parenter Enteral Nutr, doi: 10.1177\/0148607115584388 (2015).","DOI":"10.1177\/0148607115584388"},{"key":"BFsrep43326_CR6","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1186\/s40168-015-0084-7","volume":"3","author":"H Engstrand Lilja","year":"2015","unstructured":"Engstrand Lilja, H., Wefer, H., Nystrom, N., Finkel, Y. & Engstrand, L. Intestinal dysbiosis in children with short bowel syndrome is associated with impaired outcome. Microbiome 3, 18, doi: 10.1186\/s40168-015-0084-7 (2015).","journal-title":"Microbiome"},{"key":"BFsrep43326_CR7","doi-asserted-by":"publisher","first-page":"97","DOI":"10.4292\/wjgpt.v4.i4.97","volume":"4","author":"V De Preter","year":"2013","unstructured":"De Preter, V. & Verbeke, K. Metabolomics as a diagnostic tool in gastroenterology. World J Gastrointest Pharmacol Ther 4, 97\u2013107, doi: 10.4292\/wjgpt.v4.i4.97 (2013).","journal-title":"World J Gastrointest Pharmacol Ther"},{"key":"BFsrep43326_CR8","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1146\/annurev.nutr.22.011602.092259","volume":"22","author":"LV Hooper","year":"2002","unstructured":"Hooper, L. V., Midtvedt, T. & Gordon, J. I. How host-microbial interactions shape the nutrient environment of the mammalian intestine. Annu Rev Nutr 22, 283\u2013307, doi: 10.1146\/annurev.nutr.22.011602.092259 (2002).","journal-title":"Annu Rev Nutr"},{"key":"BFsrep43326_CR9","doi-asserted-by":"publisher","first-page":"1933","DOI":"10.1038\/ismej.2013.89","volume":"7","author":"A Marcobal","year":"2013","unstructured":"Marcobal, A. et al. A metabolomic view of how the human gut microbiota impacts the host metabolome using humanized and gnotobiotic mice. ISME J 7, 1933\u20131943, doi: 10.1038\/ismej.2013.89 (2013).","journal-title":"ISME J"},{"key":"BFsrep43326_CR10","doi-asserted-by":"publisher","first-page":"2996","DOI":"10.1021\/pr901188e","volume":"9","author":"IK Yap","year":"2010","unstructured":"Yap, I. K. et al. Urinary metabolic phenotyping differentiates children with autism from their unaffected siblings and age-matched controls. J Proteome Res 9, 2996\u20133004, doi: 10.1021\/pr901188e (2010).","journal-title":"J Proteome Res"},{"key":"BFsrep43326_CR11","doi-asserted-by":"publisher","first-page":"6127","DOI":"10.1073\/pnas.0801777105","volume":"105","author":"Y Wang","year":"2008","unstructured":"Wang, Y. et al. Global metabolic responses of mice to Trypanosoma brucei brucei infection. Proc Natl Acad Sci USA 105, 6127\u20136132, doi: 10.1073\/pnas.0801777105 (2008).","journal-title":"Proc Natl Acad Sci USA"},{"key":"BFsrep43326_CR12","doi-asserted-by":"publisher","first-page":"2661","DOI":"10.1172\/JCI34138","volume":"118","author":"WR Wikoff","year":"2008","unstructured":"Wikoff, W. R., Pendyala, G., Siuzdak, G. & Fox, H. S. Metabolomic analysis of the cerebrospinal fluid reveals changes in phospholipase expression in the CNS of SIV-infected macaques. J Clin Invest 118, 2661\u20132669, doi: 10.1172\/JCI34138 (2008).","journal-title":"J Clin Invest"},{"key":"BFsrep43326_CR13","doi-asserted-by":"publisher","first-page":"e6386","DOI":"10.1371\/journal.pone.0006386","volume":"4","author":"J Jansson","year":"2009","unstructured":"Jansson, J. et al. Metabolomics reveals metabolic biomarkers of Crohn\u2019s disease. PLoS One 4, e6386, doi: 10.1371\/journal.pone.0006386 (2009).","journal-title":"PLoS One"},{"key":"BFsrep43326_CR14","doi-asserted-by":"publisher","first-page":"4208","DOI":"10.1021\/pr2003598","volume":"10","author":"G Le Gall","year":"2011","unstructured":"Le Gall, G. et al. Metabolomics of fecal extracts detects altered metabolic activity of gut microbiota in ulcerative colitis and irritable bowel syndrome. J Proteome Res 10, 4208\u20134218, doi: 10.1021\/pr2003598 (2011).","journal-title":"J Proteome Res"},{"key":"BFsrep43326_CR15","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1016\/j.jhep.2014.06.025","volume":"61","author":"PM Pereira-Fantini","year":"2014","unstructured":"Pereira-Fantini, P. M. et al. Altered FXR signalling is associated with bile acid dysmetabolism in short bowel syndrome-associated liver disease. J Hepatol 61, 1115\u20131125, doi: 10.1016\/j.jhep.2014.06.025 (2014).","journal-title":"J Hepatol"},{"key":"BFsrep43326_CR16","doi-asserted-by":"publisher","first-page":"212","DOI":"10.4161\/gmic.24372","volume":"4","author":"S Lapthorne","year":"2013","unstructured":"Lapthorne, S. et al. Gut microbial diversity is reduced and is associated with colonic inflammation in a piglet model of short bowel syndrome. Gut Microbes 4, 212\u2013221, doi: 10.4161\/gmic.24372 (2013).","journal-title":"Gut Microbes"},{"key":"BFsrep43326_CR17","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.chemolab.2009.09.005","volume":"100","author":"R Gosselin","year":"2010","unstructured":"Gosselin, R., Rodrigue, D. & Duchesne, C. A Bootstrap-VIP approach for selecting wavelength intervals in spectral imaging applications. Chemometrics and Intelligent Laboratory Systems 100, 12\u201321 (2010).","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"BFsrep43326_CR18","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/S0169-7439(03)00027-3","volume":"66","author":"A Lazraq","year":"2003","unstructured":"Lazraq, A., Cleroux, R. & Gauchi, J.-P. Selecting both latent and explanatory variables in the PLS1 regression model. Chemometrics and Intelligent Laboratory Systems 2003, 66(2):117-126. Chemometrics and Intelligent Laboratory Systems 66, 117\u2013126 (2003).","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"BFsrep43326_CR19","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1007\/s10822-004-4060-8","volume":"18","author":"M Olah","year":"2004","unstructured":"Olah, M., Bologa, C. & Oprea, T. I. An automated PLS search for biologically relevant QSAR descriptors. J Comput Aided Mol Des 18, 437\u2013449 (2004).","journal-title":"J Comput Aided Mol Des"},{"key":"BFsrep43326_CR20","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1186\/1748-7188-6-27","volume":"6","author":"T Mehmood","year":"2011","unstructured":"Mehmood, T., Martens, H., Saebo, S., Warringer, J. & Snipen, L. A Partial Least Squares based algorithm for parsimonious variable selection. Algorithms Mol Biol 6, 27, doi: 10.1186\/1748-7188-6-27 (2011).","journal-title":"Algorithms Mol Biol"},{"key":"BFsrep43326_CR21","doi-asserted-by":"publisher","first-page":"2507","DOI":"10.1093\/bioinformatics\/btm344","volume":"23","author":"Y Saeys","year":"2007","unstructured":"Saeys, Y., Inza, I. & Larranaga, P. A review of feature selection techniques in bioinformatics. Bioinformatics 23, 2507\u20132517, doi: 10.1093\/bioinformatics\/btm344 (2007).","journal-title":"Bioinformatics"},{"key":"BFsrep43326_CR22","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.chemolab.2004.12.011","volume":"78","author":"G Chong","year":"2005","unstructured":"Chong, G. & Jun, C. Performance of some variable selection methods when multicollinearity is present. Chemo-metrics and Intelligent Laboratory Systems 78, 103\u2013112 (2005).","journal-title":"Chemo-metrics and Intelligent Laboratory Systems"},{"key":"BFsrep43326_CR23","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/s11030-006-9026-4","volume":"10","author":"L Eriksson","year":"2006","unstructured":"Eriksson, L., Andersson, P. L., Johansson, E. & Tysklind, M. Megavariate analysis of environmental QSAR data. Part II--investigating very complex problem formulations using hierarchical, non-linear and batch-wise extensions of PCA and PLS. Mol Divers 10, 187\u2013205, doi: 10.1007\/s11030-006-9026-4 (2006).","journal-title":"Mol Divers"},{"key":"BFsrep43326_CR24","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.chemolab.2012.04.006","volume":"115","author":"X-M Sun","year":"2012","unstructured":"Sun, X.-M., Yu, X.-P., Liu, Y., Xu, L. & Di, D.-L. Combining bootstrap and uninformative variable elimination: Chemometric identification of metabo- nomic biomarkers by nonparametric analysis of discriminant partial least squares. Chemometrics and Intelligent Laboratory Systems 115, 37\u201343 (2012).","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"BFsrep43326_CR25","doi-asserted-by":"publisher","first-page":"2787","DOI":"10.1002\/elps.201300017","volume":"34","author":"G Xie","year":"2013","unstructured":"Xie, G., Zhang, S., Zheng, X. & Jia, W. Metabolomics approaches for characterizing metabolic interactions between host and its commensal microbes. Electrophoresis 34, 2787\u20132798, doi: 10.1002\/elps.201300017 (2013).","journal-title":"Electrophoresis"},{"key":"BFsrep43326_CR26","doi-asserted-by":"publisher","first-page":"4150","DOI":"10.3748\/wjg.v21.i14.4150","volume":"21","author":"S Lapthorne","year":"2015","unstructured":"Lapthorne, S. et al. Changes in the colon microbiota and intestinal cytokine gene expression following minimal intestinal surgery. World J Gastroenterol 21, 4150\u20134158, doi: 10.3748\/wjg.v21.i14.4150 (2015).","journal-title":"World J Gastroenterol"},{"key":"BFsrep43326_CR27","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1093\/ndt\/gfq818","volume":"26","author":"BK Meijers","year":"2011","unstructured":"Meijers, B. K. & Evenepoel, P. The gut-kidney axis: indoxyl sulfate, p-cresyl sulfate and CKD progression. Nephrol Dial Transplant 26, 759\u2013761, doi: 10.1093\/ndt\/gfq818 (2011).","journal-title":"Nephrol Dial Transplant"},{"key":"BFsrep43326_CR28","doi-asserted-by":"publisher","first-page":"e0134590","DOI":"10.1371\/journal.pone.0134590","volume":"10","author":"CJ Lin","year":"2015","unstructured":"Lin, C. J. et al. The Role of Liver in Determining Serum Colon-Derived Uremic Solutes. PLoS One 10, e0134590, doi: 10.1371\/journal.pone.0134590 (2015).","journal-title":"PLoS One"},{"key":"BFsrep43326_CR29","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/BF01536629","volume":"33","author":"D Muting","year":"1988","unstructured":"Muting, D., Kalk, J. F., Fischer, R., Wuzel, H. & Reikowski, J. Hepatic detoxification and hepatic function in chronic active hepatitis with and without cirrhosis. Dig Dis Sci 33, 41\u201346 (1988).","journal-title":"Dig Dis Sci"},{"key":"BFsrep43326_CR30","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1203\/00006450-201011001-00687","volume":"68","author":"D Duro","year":"2010","unstructured":"Duro, D. et al. [13C]Methionine breath test to assess intestinal failure-associated liver disease. Pediatr Res 68, 349\u2013354, doi: 10.1203\/00006450-201011001-00687 10.1203\/PDR.0b013e3181ed15e5 (2010).","journal-title":"Pediatr Res"},{"key":"BFsrep43326_CR31","doi-asserted-by":"publisher","first-page":"1858","DOI":"10.1016\/0016-5085(86)90253-2","volume":"90","author":"A Chedid","year":"1986","unstructured":"Chedid, A. et al. Significance of megamitochondria in alcoholic liver disease. Gastroenterology 90, 1858\u20131864 (1986).","journal-title":"Gastroenterology"},{"key":"BFsrep43326_CR32","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1016\/j.metabol.2010.03.006","volume":"60","author":"SC Kalhan","year":"2011","unstructured":"Kalhan, S. C. et al. Plasma metabolomic profile in nonalcoholic fatty liver disease. Metabolism 60, 404\u2013413, doi: 10.1016\/j.metabol.2010.03.006 (2011).","journal-title":"Metabolism"},{"key":"BFsrep43326_CR33","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1007\/s00726-014-1894-9","volume":"47","author":"AD Lake","year":"2015","unstructured":"Lake, A. D. et al. Branched chain amino acid metabolism profiles in progressive human nonalcoholic fatty liver disease. Amino Acids 47, 603\u2013615, doi: 10.1007\/s00726-014-1894-9 (2015).","journal-title":"Amino Acids"},{"key":"BFsrep43326_CR34","doi-asserted-by":"publisher","first-page":"1291","DOI":"10.1002\/hep.27264","volume":"60","author":"NG Ladep","year":"2014","unstructured":"Ladep, N. G. et al. Discovery and validation of urinary metabotypes for the diagnosis of hepatocellular carcinoma in West Africans. Hepatology 60, 1291\u20131301, doi: 10.1002\/hep.27264 (2014).","journal-title":"Hepatology"},{"key":"BFsrep43326_CR35","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1080\/13547500400018570","volume":"9","author":"J Delaney","year":"2004","unstructured":"Delaney, J. et al. Phenylacetylglycine, a putative biomarker of phospholipidosis: its origins and relevance to phospholipid accumulation using amiodarone treated rats as a model. Biomarkers 9, 271\u2013290, doi: 10.1080\/13547500400018570 (2004).","journal-title":"Biomarkers"},{"key":"BFsrep43326_CR36","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1177\/2042098613479393","volume":"4","author":"L Doessegger","year":"2013","unstructured":"Doessegger, L. et al. Increased levels of urinary phenylacetylglycine associated with mitochondrial toxicity in a model of drug-induced phospholipidosis. Ther Adv Drug Saf 4, 101\u2013114, doi: 10.1177\/2042098613479393 (2013).","journal-title":"Ther Adv Drug Saf"},{"key":"BFsrep43326_CR37","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1097\/01.mpg.0000304449.46434.06","volume":"46","author":"PM Pereira-Fantini","year":"2008","unstructured":"Pereira-Fantini, P. M. et al. GLP-2 administration results in increased proliferation but paradoxically an adverse outcome in a juvenile piglet model of short bowel syndrome. J Pediatr Gastroenterol Nutr 46, 20\u201328, doi: 10.1097\/01.mpg.0000304449.46434.06 (2008).","journal-title":"J Pediatr Gastroenterol Nutr"},{"key":"BFsrep43326_CR38","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/s00418-011-0778-2","volume":"135","author":"PM Pereira-Fantini","year":"2011","unstructured":"Pereira-Fantini, P. M. et al. Short- and long-term effects of small bowel resection: a unique histological study in a piglet model of short bowel syndrome. Histochem Cell Biol 135, 195\u2013202, doi: 10.1007\/s00418-011-0778-2 (2011).","journal-title":"Histochem Cell Biol"},{"key":"BFsrep43326_CR39","doi-asserted-by":"publisher","first-page":"1581","DOI":"10.1016\/j.jpedsurg.2010.02.040","volume":"45","author":"KL Healey","year":"2010","unstructured":"Healey, K. L. et al. Morphological and functional changes in the colon after massive small bowel resection. J Pediatr Surg 45, 1581\u20131590, doi: 10.1016\/j.jpedsurg.2010.02.040 (2010).","journal-title":"J Pediatr Surg"},{"key":"BFsrep43326_CR40","unstructured":"ImageJ (U. S. National Institutes of Health, Bethesda, Maryland, USA, 1997\u20132015)."},{"key":"BFsrep43326_CR41","doi-asserted-by":"publisher","first-page":"1635","DOI":"10.1136\/gut.2010.215665","volume":"59","author":"EF Murphy","year":"2010","unstructured":"Murphy, E. F. et al. Composition and energy harvesting capacity of the gut microbiota: relationship to diet, obesity and time in mouse models. Gut 59, 1635\u20131642, doi: 10.1136\/gut.2010.215665 (2010).","journal-title":"Gut"},{"key":"BFsrep43326_CR42","doi-asserted-by":"publisher","first-page":"3389","DOI":"10.1093\/nar\/25.17.3389","volume":"25","author":"SF Altschul","year":"1997","unstructured":"Altschul, S. F. et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25, 3389\u20133402 (1997).","journal-title":"Nucleic Acids Res"},{"key":"BFsrep43326_CR43","doi-asserted-by":"publisher","first-page":"7188","DOI":"10.1093\/nar\/gkm864","volume":"35","author":"E Pruesse","year":"2007","unstructured":"Pruesse, E. et al. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. Nucleic Acids Res 35, 7188\u20137196, doi: 10.1093\/nar\/gkm864 (2007).","journal-title":"Nucleic Acids Res"},{"key":"BFsrep43326_CR44","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1101\/gr.5969107","volume":"17","author":"DH Huson","year":"2007","unstructured":"Huson, D. H., Auch, A. F., Qi, J. & Schuster, S. C. MEGAN analysis of metagenomic data. Genome Res 17, 377\u2013386, doi: 10.1101\/gr.5969107 (2007).","journal-title":"Genome Res"},{"key":"BFsrep43326_CR45","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1038\/nmeth.f.303","volume":"7","author":"JG Caporaso","year":"2010","unstructured":"Caporaso, J. G. et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods 7, 335\u2013336, doi: 10.1038\/nmeth.f.303 (2010).","journal-title":"Nat Methods"},{"key":"BFsrep43326_CR46","doi-asserted-by":"crossref","first-page":"1970","DOI":"10.1093\/clinchem\/48.11.1970","volume":"48","author":"JJ Pitt","year":"2002","unstructured":"Pitt, J. J., Eggington, M. & Kahler, S. G. Comprehensive screening of urine samples for inborn errors of metabolism by electrospray tandem mass spectrometry. Clin Chem 48, 1970\u20131980 (2002).","journal-title":"Clin Chem"}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/srep43326","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/srep43326.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/srep43326.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T14:30:10Z","timestamp":1671805810000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/srep43326"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,23]]},"references-count":46,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,3,22]]}},"alternative-id":["BFsrep43326"],"URL":"https:\/\/doi.org\/10.1038\/srep43326","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,2,23]]},"assertion":[{"value":"5 July 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 January 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 February 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing financial interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"43326"}}