{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T22:45:31Z","timestamp":1786488331448,"version":"build-2736575974"},"reference-count":46,"publisher":"Walter de Gruyter GmbH","issue":"12","funder":[{"DOI":"10.13039\/501100013865","name":"Stiftung Charit\u00c3\u00a9","doi-asserted-by":"publisher","award":["BIH_PRO_406"],"award-info":[{"award-number":["BIH_PRO_406"]}],"id":[{"id":"10.13039\/501100013865","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["314061271-TRR\/CRC 205-1\/2"],"award-info":[{"award-number":["314061271-TRR\/CRC 205-1\/2"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec id=\"j_cclm-2022-0470_abs_001\">\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>Mass spectrometry-based steroidomics combined with machine learning (ML) provides a potentially powerful approach in endocrine diagnostics, but is hampered by limitations in the conveyance of results and interpretations to clinicians. We address this shortcoming by integration of the two technologies with a laboratory information management systems (LIMS) model.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_cclm-2022-0470_abs_002\">\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>The approach involves integration of ML algorithm-derived models with commercially available mathematical programming software and a web-based LIMS prototype. To illustrate clinical utility, the process was applied to plasma steroidomics data from 22 patients tested for primary aldosteronism (PA).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_cclm-2022-0470_abs_003\">\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Once mass spectrometry data are uploaded into the system, automated processes enable generation of interpretations of steroid profiles from ML models. Generated reports include plasma concentrations of steroids in relation to age- and sex-specific reference intervals along with results of ML models and narrative interpretations that cover probabilities of PA. If PA is predicted, reports include probabilities of unilateral disease and mutations of <jats:italic>KCNJ5<\/jats:italic> known to be associated with successful outcomes of adrenalectomy. Preliminary results, with no overlap in probabilities of disease among four patients with and 18 without PA and correct classification of all four patients with unilateral PA including three of four with <jats:italic>KCNJ5<\/jats:italic> mutations, illustrate potential utility of the approach to guide diagnosis and subtyping of patients with PA.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_cclm-2022-0470_abs_004\">\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>The outlined process for integrating plasma steroidomics data and ML with LIMS may facilitate improved diagnostic-decision-making when based on higher-dimensional data otherwise difficult to interpret. The approach is relevant to other diagnostic applications involving ML.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1515\/cclm-2022-0470","type":"journal-article","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T05:05:01Z","timestamp":1658120701000},"page":"1929-1937","source":"Crossref","is-referenced-by-count":31,"title":["Integration of artificial intelligence and plasma steroidomics with laboratory information management systems: application to primary aldosteronism"],"prefix":"10.1515","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7304-2557","authenticated-orcid":false,"given":"Georgiana","family":"Constantinescu","sequence":"first","affiliation":[{"name":"Department of Internal Medicine III , University Hospital \u201cCarl Gustav Carus\u201d, Technische Universit\u00e4t Dresden , Dresden , Germany"},{"name":"Grigore T. Popa University of Medicine and Pharmacy , Iasi , Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manuel","family":"Schulze","sequence":"additional","affiliation":[{"name":"Department of Distributed and Data Intensive Computing , Center for Information Services and High Performance Computing (ZIH), Technische Universit\u00e4t Dresden , Dresden , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mirko","family":"Peitzsch","sequence":"additional","affiliation":[{"name":"Institute of Clinical Chemistry and Laboratory Medicine, University Hospital \u201cCarl Gustav Carus\u201d, Technische Universit\u00e4t Dresden , Dresden , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Hofmockel","sequence":"additional","affiliation":[{"name":"Department of Radiology , University Hospital \u201cCarl Gustav Carus\u201d, Technische Universit\u00e4t Dresden , Dresden , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0309-8045","authenticated-orcid":false,"given":"Ute I.","family":"Scholl","sequence":"additional","affiliation":[{"name":"Berlin Institute of Health at Charit\u00e9\u00a0\u2013 Universit\u00e4tsmedizin Berlin, Center of Functional Genomics , Berlin , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2388-6444","authenticated-orcid":false,"given":"Tracy Ann","family":"Williams","sequence":"additional","affiliation":[{"name":"Medizinische Klinik und Poliklinik IV, Klinikum der Universit\u00e4t, Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen , Munich , Germany"},{"name":"Department of Medical Sciences, Division of Internal Medicine and Hypertension , University of Turin , Turin , Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacques W.M.","family":"Lenders","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine III , University Hospital \u201cCarl Gustav Carus\u201d, Technische Universit\u00e4t Dresden , Dresden , Germany"},{"name":"Department of Internal Medicine , Radboud University Medical Centre , Nijmegen , The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Graeme","family":"Eisenhofer","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine III , University Hospital \u201cCarl Gustav Carus\u201d, Technische Universit\u00e4t Dresden , Dresden , Germany"},{"name":"Institute of Clinical Chemistry and Laboratory Medicine, University Hospital \u201cCarl Gustav Carus\u201d, Technische Universit\u00e4t Dresden , Dresden , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2022,7,18]]},"reference":[{"key":"2023033111540086467_j_cclm-2022-0470_ref_001","doi-asserted-by":"crossref","unstructured":"Funder, JW, Carey, RM, Mantero, F, Murad, MH, Reincke, M, Shibata, H, et al.. 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