{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T10:58:05Z","timestamp":1790247485617,"version":"4.1.0"},"reference-count":19,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2015,10,27]],"date-time":"2015-10-27T00:00:00Z","timestamp":1445904000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["PI 13\/00341"],"award-info":[{"award-number":["PI 13\/00341"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Liver International"],"published-print":{"date-parts":[[2016,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Idiopathic non\u2010cirrhotic portal hypertension (<jats:styled-content style=\"fixed-case\">INCPH<\/jats:styled-content>) is a rare life\u2010threatening liver disease that lacks a specific diagnostic test being frequently misdiagnosed as cryptogenic cirrhosis. Preliminary data from our group identified a plasma metabolomic profile able to differentiate <jats:styled-content style=\"fixed-case\">INCPH<\/jats:styled-content> from patients with cirrhosis (<jats:styled-content style=\"fixed-case\">CH<\/jats:styled-content>) and healthy volunteers (<jats:styled-content style=\"fixed-case\">HV<\/jats:styled-content>). However, the untargeted methodology applied was unable to identify all the specific metabolites, hampering the possibility of building\u2010up diagnostic models. This study applies a wide\u2010coverage of previously identified metabolites through a high\u2010throughput metabolomics technology, evaluating if there is a metabolomic profile that allows a non\u2010invasive diagnosis of <jats:styled-content style=\"fixed-case\">INCPH<\/jats:styled-content>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We included 34 patients with <jats:styled-content style=\"fixed-case\">INCPH<\/jats:styled-content>, 34 with <jats:styled-content style=\"fixed-case\">CH<\/jats:styled-content> and 34 <jats:styled-content style=\"fixed-case\">HV<\/jats:styled-content>. We performed a targeted metabolomic analysis of serum samples using <jats:styled-content style=\"fixed-case\">UPLC<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">MS<\/jats:styled-content>. The best combination of a set of specific metabolites was obtained using stepwise logistic regression (<jats:styled-content style=\"fixed-case\">LR<\/jats:styled-content>) and recursive partitioning analysis (<jats:styled-content style=\"fixed-case\">RPA<\/jats:styled-content>).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>After internal cross\u2010validation, <jats:styled-content style=\"fixed-case\">LR<\/jats:styled-content> analysis identified a subset of 5\u2010metabolites that clearly differentiate <jats:styled-content style=\"fixed-case\">INCPH<\/jats:styled-content> patients from <jats:styled-content style=\"fixed-case\">CH<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">HV<\/jats:styled-content> (average corrected optimism <jats:styled-content style=\"fixed-case\">AUROC<\/jats:styled-content> = 0.8871 [0.838\u20130.924]). Using high and low cut\u2010off values the model has an excellent capacity to respectively diagnose or exclude <jats:styled-content style=\"fixed-case\">INCPH<\/jats:styled-content>. The <jats:styled-content style=\"fixed-case\">RPA<\/jats:styled-content> analysis strategy used the 3\u2010metabolites signature differentiating <jats:styled-content style=\"fixed-case\">INCPH<\/jats:styled-content> from <jats:styled-content style=\"fixed-case\">CH<\/jats:styled-content> and the 2\u2010metabolites signature differentiating <jats:styled-content style=\"fixed-case\">INCPH<\/jats:styled-content> from <jats:styled-content style=\"fixed-case\">HV<\/jats:styled-content>. A decision tree applying sequentially these metabolic profiles diagnosed 88% of <jats:styled-content style=\"fixed-case\">INCPH<\/jats:styled-content> patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Different metabolomic profiles allow the diagnosis of <jats:styled-content style=\"fixed-case\">INCPH<\/jats:styled-content> with high specificity and sensibility and may represent excellent clinical tools for its diagnosis avoiding multiple and invasive tests.<\/jats:p><\/jats:sec>","DOI":"10.1111\/liv.12972","type":"journal-article","created":{"date-parts":[[2015,9,23]],"date-time":"2015-09-23T08:21:28Z","timestamp":1442996488000},"page":"1051-1058","source":"Crossref","is-referenced-by-count":24,"title":["Metabolomics as a diagnostic tool for idiopathic non\u2010cirrhotic portal hypertension"],"prefix":"10.1111","volume":"36","author":[{"given":"Susana","family":"Seijo","sequence":"first","affiliation":[{"name":"Barcelona Hepatic Hemodynamic Laboratory Liver Unit Hospital Cl\u00ednic Institut de Investigacions Biom\u00e8diques August Pi i Sunyer (IDIBAPS) Barcelona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan Jose","family":"Lozano","sequence":"additional","affiliation":[{"name":"Bioinformatic Platform CIBERehd Barcelona Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Hep\u00e1ticas y Digestivas (CIBERehd) Barcelona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristina","family":"Alonso","sequence":"additional","affiliation":[{"name":"OWL Parque Tecnol\u00f3gico de Bizkaia Bizkaia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosa","family":"Miquel","sequence":"additional","affiliation":[{"name":"Pathology Deparment Hospital Cl\u00ednic Institut d'Investigacions Biom\u00e8diques August Pi i Sunyer (IDIBAPS) Barcelona 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Luz","family":"Mart\u00ednez\u2010Chantar","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Hep\u00e1ticas y Digestivas (CIBERehd) Barcelona Spain"},{"name":"CIC bioGUNE Bizkaia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Azucena","family":"Castro","sequence":"additional","affiliation":[{"name":"OWL Parque Tecnol\u00f3gico de Bizkaia Bizkaia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jose M.","family":"Mato","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Hep\u00e1ticas y Digestivas (CIBERehd) Barcelona Spain"},{"name":"CIC bioGUNE Bizkaia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Virginia","family":"Hern\u00e1ndez\u2010Gea","sequence":"additional","affiliation":[{"name":"Barcelona Hepatic Hemodynamic Laboratory Liver Unit Hospital Cl\u00ednic Institut de Investigacions 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