[{"publisher":"Public Library of Science (PLoS)","abstract":[{"text":"Abstract\r\nIntroduction: A required step for presenting results of clinical studies is the declaration of participants demographic and baseline characteristics as claimed by the FDAAA 801. The common workflow to accomplish this task is to export the clinical data from the used electronic data capture system and import it into statistical software like SAS software or IBM SPSS. This software requires trained users, who have to implement the analysis individually for each item. These expenditures may become an obstacle for small studies. Objective of this work is to design, implement and evaluate an open source application, called ODM Data Analysis, for the semi-automatic analysis of clinical study data.\r\n\r\nMethods: The system requires clinical data in the CDISC Operational Data Model format. After uploading the file, its syntax and data type conformity of the collected data is validated. The completeness of the study data is determined and basic statistics, including illustrative charts for each item, are generated. Datasets from four clinical studies have been used to evaluate the application's performance and functionality.\r\n\r\nResults: The system is implemented as an open source web application (available at https://odmanalysis.uni-muenster.de) and also provided as Docker image which enables an easy distribution and installation on local systems. Study data is only stored in the application as long as the calculations are performed which is compliant with data protection endeavors. Analysis times are below half an hour, even for larger studies with over 6000 subjects.\r\n\r\nDiscussion: Medical experts have ensured the usefulness of this application to grant an overview of their collected study data for monitoring purposes and to generate descriptive statistics without further user interaction. The semi-automatic analysis has its limitations and cannot replace the complex analysis of statisticians, but it can be used as a starting point for their examination and reporting.","lang":"eng"}],"year":"2018","publication_identifier":{"eissn":["1932-6203"]},"doi":"10.1371/journal.pone.0199242","publication":"PLOS ONE","status":"public","user_id":"83781","publication_status":"published","title":"ODM Data Analysis—A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data","pmid":"1","volume":13,"author":[{"full_name":"Brix, Tobias Johannes","last_name":"Brix","first_name":"Tobias Johannes"},{"orcid":"0000-0001-6939-7630","last_name":"Bruland","first_name":"Philipp","full_name":"Bruland, Philipp","id":"75847"},{"full_name":"Sarfraz, Saad","first_name":"Saad","last_name":"Sarfraz"},{"last_name":"Ernsting","first_name":"Jan","full_name":"Ernsting, Jan"},{"full_name":"Neuhaus, Philipp","first_name":"Philipp","last_name":"Neuhaus"},{"last_name":"Storck","first_name":"Michael","full_name":"Storck, Michael"},{"full_name":"Doods, Justin","last_name":"Doods","first_name":"Justin"},{"last_name":"Ständer","first_name":"Sonja","full_name":"Ständer, Sonja"},{"first_name":"Martin","last_name":"Dugas","full_name":"Dugas, Martin"}],"citation":{"mla":"Brix, Tobias Johannes, et al. “ODM Data Analysis—A Tool for the Automatic Validation, Monitoring and Generation of Generic Descriptive Statistics of Patient Data.” <i>PLOS ONE</i>, vol. 13, no. 6, e0199242, 2018, <a href=\"https://doi.org/10.1371/journal.pone.0199242\">https://doi.org/10.1371/journal.pone.0199242</a>.","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Brix, Tobias Johannes</span> ; <span style=\"font-variant:small-caps;\">Bruland, Philipp</span> ; <span style=\"font-variant:small-caps;\">Sarfraz, Saad</span> ; <span style=\"font-variant:small-caps;\">Ernsting, Jan</span> ; <span style=\"font-variant:small-caps;\">Neuhaus, Philipp</span> ; <span style=\"font-variant:small-caps;\">Storck, Michael</span> ; <span style=\"font-variant:small-caps;\">Doods, Justin</span> ; <span style=\"font-variant:small-caps;\">Ständer, Sonja</span> ; u. a.</span>: ODM Data Analysis—A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data. In: <i>PLOS ONE</i> Bd. 13.  San Francisco, California, US , Public Library of Science (PLoS) (2018), Nr. 6","van":"Brix TJ, Bruland P, Sarfraz S, Ernsting J, Neuhaus P, Storck M, et al. ODM Data Analysis—A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data. PLOS ONE. 2018;13(6).","ufg":"<b>Brix, Tobias Johannes u. a.</b>: ODM Data Analysis—A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data, in: <i>PLOS ONE</i> 13 (2018), H. 6.","chicago":"Brix, Tobias Johannes, Philipp Bruland, Saad Sarfraz, Jan Ernsting, Philipp Neuhaus, Michael Storck, Justin Doods, Sonja Ständer, and Martin Dugas. “ODM Data Analysis—A Tool for the Automatic Validation, Monitoring and Generation of Generic Descriptive Statistics of Patient Data.” <i>PLOS ONE</i> 13, no. 6 (2018). <a href=\"https://doi.org/10.1371/journal.pone.0199242\">https://doi.org/10.1371/journal.pone.0199242</a>.","chicago-de":"Brix, Tobias Johannes, Philipp Bruland, Saad Sarfraz, Jan Ernsting, Philipp Neuhaus, Michael Storck, Justin Doods, Sonja Ständer und Martin Dugas. 2018. ODM Data Analysis—A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data. <i>PLOS ONE</i> 13, Nr. 6. doi:<a href=\"https://doi.org/10.1371/journal.pone.0199242\">10.1371/journal.pone.0199242</a>, .","havard":"T.J. Brix, P. Bruland, S. Sarfraz, J. Ernsting, P. Neuhaus, M. Storck, J. Doods, S. Ständer, M. Dugas, ODM Data Analysis—A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data, PLOS ONE. 13 (2018).","bjps":"<b>Brix TJ <i>et al.</i></b> (2018) ODM Data Analysis—A Tool for the Automatic Validation, Monitoring and Generation of Generic Descriptive Statistics of Patient Data. <i>PLOS ONE</i> <b>13</b>.","ieee":"T. J. Brix <i>et al.</i>, “ODM Data Analysis—A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data,” <i>PLOS ONE</i>, vol. 13, no. 6, Art. no. e0199242, 2018, doi: <a href=\"https://doi.org/10.1371/journal.pone.0199242\">10.1371/journal.pone.0199242</a>.","short":"T.J. Brix, P. Bruland, S. Sarfraz, J. Ernsting, P. Neuhaus, M. Storck, J. Doods, S. Ständer, M. Dugas, PLOS ONE 13 (2018).","ama":"Brix TJ, Bruland P, Sarfraz S, et al. ODM Data Analysis—A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data. <i>PLOS ONE</i>. 2018;13(6). doi:<a href=\"https://doi.org/10.1371/journal.pone.0199242\">10.1371/journal.pone.0199242</a>","apa":"Brix, T. J., Bruland, P., Sarfraz, S., Ernsting, J., Neuhaus, P., Storck, M., Doods, J., Ständer, S., &#38; Dugas, M. (2018). ODM Data Analysis—A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data. <i>PLOS ONE</i>, <i>13</i>(6), Article e0199242. <a href=\"https://doi.org/10.1371/journal.pone.0199242\">https://doi.org/10.1371/journal.pone.0199242</a>"},"type":"scientific_journal_article","place":" San Francisco, California, US ","issue":"6","_id":"11732","article_number":"e0199242","language":[{"iso":"eng"}],"date_created":"2024-07-18T12:11:02Z","external_id":{"pmid":["29933373"]},"date_updated":"2024-07-18T12:15:59Z","intvolume":"        13","department":[{"_id":"DEP5024"}],"extern":"1"},{"extern":"1","date_updated":"2024-07-18T12:37:39Z","intvolume":"        11","issue":"2","_id":"11737","article_number":"e0148057","language":[{"iso":"eng"}],"external_id":{"pmid":["26859890"]},"date_created":"2024-07-18T12:35:52Z","volume":11,"author":[{"full_name":"Reinecke, Holger","first_name":"Holger","last_name":"Reinecke"},{"full_name":"Breithardt, Günter","last_name":"Breithardt","first_name":"Günter"},{"full_name":"Engelbertz, Christiane","first_name":"Christiane","last_name":"Engelbertz"},{"first_name":"Roland E.","last_name":"Schmieder","full_name":"Schmieder, Roland E."},{"last_name":"Fobker","first_name":"Manfred","full_name":"Fobker, Manfred"},{"full_name":"Pinnschmidt, Hans O.","last_name":"Pinnschmidt","first_name":"Hans O."},{"last_name":"Schmitz","first_name":"Boris","full_name":"Schmitz, Boris"},{"full_name":"Bruland, Philipp","id":"75847","last_name":"Bruland","orcid":"0000-0001-6939-7630","first_name":"Philipp"},{"first_name":"Karl","last_name":"Wegscheider","full_name":"Wegscheider, Karl"},{"last_name":"Pavenstädt","first_name":"Hermann","full_name":"Pavenstädt, Hermann"},{"last_name":"Brand","first_name":"Eva","full_name":"Brand, Eva"}],"citation":{"chicago":"Reinecke, Holger, Günter Breithardt, Christiane Engelbertz, Roland E. Schmieder, Manfred Fobker, Hans O. Pinnschmidt, Boris Schmitz, et al. “Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry).” <i>PLOS ONE</i> 11, no. 2 (2016). <a href=\"https://doi.org/10.1371/journal.pone.0148057\">https://doi.org/10.1371/journal.pone.0148057</a>.","chicago-de":"Reinecke, Holger, Günter Breithardt, Christiane Engelbertz, Roland E. Schmieder, Manfred Fobker, Hans O. Pinnschmidt, Boris Schmitz, u. a. 2016. Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry). <i>PLOS ONE</i> 11, Nr. 2. doi:<a href=\"https://doi.org/10.1371/journal.pone.0148057\">10.1371/journal.pone.0148057</a>, .","van":"Reinecke H, Breithardt G, Engelbertz C, Schmieder RE, Fobker M, Pinnschmidt HO, et al. Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry). PLOS ONE. 2016;11(2).","ufg":"<b>Reinecke, Holger u. a.</b>: Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry), in: <i>PLOS ONE</i> 11 (2016), H. 2.","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Reinecke, Holger</span> ; <span style=\"font-variant:small-caps;\">Breithardt, Günter</span> ; <span style=\"font-variant:small-caps;\">Engelbertz, Christiane</span> ; <span style=\"font-variant:small-caps;\">Schmieder, Roland E.</span> ; <span style=\"font-variant:small-caps;\">Fobker, Manfred</span> ; <span style=\"font-variant:small-caps;\">Pinnschmidt, Hans O.</span> ; <span style=\"font-variant:small-caps;\">Schmitz, Boris</span> ; <span style=\"font-variant:small-caps;\">Bruland, Philipp</span> ; u. a.</span>: Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry). In: <i>PLOS ONE</i> Bd. 11.  San Francisco, California, US , Public Library of Science (PLoS) (2016), Nr. 2","mla":"Reinecke, Holger, et al. “Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry).” <i>PLOS ONE</i>, vol. 11, no. 2, e0148057, 2016, <a href=\"https://doi.org/10.1371/journal.pone.0148057\">https://doi.org/10.1371/journal.pone.0148057</a>.","ama":"Reinecke H, Breithardt G, Engelbertz C, et al. Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry). <i>PLOS ONE</i>. 2016;11(2). doi:<a href=\"https://doi.org/10.1371/journal.pone.0148057\">10.1371/journal.pone.0148057</a>","apa":"Reinecke, H., Breithardt, G., Engelbertz, C., Schmieder, R. E., Fobker, M., Pinnschmidt, H. O., Schmitz, B., Bruland, P., Wegscheider, K., Pavenstädt, H., &#38; Brand, E. (2016). Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry). <i>PLOS ONE</i>, <i>11</i>(2), Article e0148057. <a href=\"https://doi.org/10.1371/journal.pone.0148057\">https://doi.org/10.1371/journal.pone.0148057</a>","short":"H. Reinecke, G. Breithardt, C. Engelbertz, R.E. Schmieder, M. Fobker, H.O. Pinnschmidt, B. Schmitz, P. Bruland, K. Wegscheider, H. Pavenstädt, E. Brand, PLOS ONE 11 (2016).","ieee":"H. Reinecke <i>et al.</i>, “Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry),” <i>PLOS ONE</i>, vol. 11, no. 2, Art. no. e0148057, 2016, doi: <a href=\"https://doi.org/10.1371/journal.pone.0148057\">10.1371/journal.pone.0148057</a>.","havard":"H. Reinecke, G. Breithardt, C. Engelbertz, R.E. Schmieder, M. Fobker, H.O. Pinnschmidt, B. Schmitz, P. Bruland, K. Wegscheider, H. Pavenstädt, E. Brand, Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry), PLOS ONE. 11 (2016).","bjps":"<b>Reinecke H <i>et al.</i></b> (2016) Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry). <i>PLOS ONE</i> <b>11</b>."},"place":" San Francisco, California, US ","type":"scientific_journal_article","user_id":"83781","publication_status":"published","title":"Baseline Characteristics and Prescription Patterns of Standard Drugs in Patients with Angiographically Determined Coronary Artery Disease and Renal Failure (CAD-REF Registry)","pmid":"1","publication":"PLOS ONE","status":"public","publisher":"Public Library of Science (PLoS)","doi":"10.1371/journal.pone.0148057","publication_identifier":{"eissn":["1932-6203"]},"abstract":[{"text":"Abstract\r\nBackground: Chronic kidney disease (CKD) is strongly associated with coronary artery disease (CAD). We established a prospective observational nationwide multicenter registry to evaluate current treatment and outcomes in patients with both CKD and angiographically documented CAD.\r\n\r\nMethods: In 32 cardiological centers 3,352 CAD patients with ≥50% stenosis in at least one coronary artery were enrolled and classified according to their estimated glomerular filtration rate and proteinuria into one of five stages of CKD or as a control group.\r\n\r\nResults: 2,723 (81.2%) consecutively enrolled patients suffered from CKD. Compared to controls, CKD patients had a higher prevalence of diabetes, hypertension, peripheral artery diseases, heart failure, and valvular heart disease (each p<0.001). Myocardial infarctions (p = 0.02), coronary bypass grafting, valve replacements and pacemaker implantations had been recorded more frequently (each p<0.001). With advanced CKD, the number of diseased coronary vessels and the proportion of patients with reduced left ventricular ejection fraction (LVEF) increased significantly (both p<0.001). Percutaneous coronary interventions were performed less frequently (p<0.001) while coronary bypass grafting was recommended more often (p = 0.04) with advanced CKD. With regard to standard drugs in CAD treatment, prescriptions were higher in our registry than in previous reports, but beta-blockers (p = 0.008), and angiotensin-converting-enzyme inhibitors and/or angiotensin-receptor blockers (p<0.001) were given less often in higher CKD stages. In contrast, in the subgroup of patients with moderately to severely reduced LVEF the prescription rates did not differ between CKD stages. In-hospital mortality increased stepwise with each CKD stage (p = 0.02).\r\n\r\nConclusions: In line with other studies comprising CKD cohorts, patients' morbidity and in-hospital mortality increased with the degree of renal impairment. Although cardiologists' drug prescription rates in CAD-REF were higher than in previous studies, they were still lower especially in advanced CKD stages compared to cohorts treated by nephrologists.","lang":"eng"}],"year":"2016"},{"oa":"1","department":[{"_id":"DEP8022"}],"quality_controlled":"1","extern":"1","language":[{"iso":"eng"}],"_id":"12246","issue":"7","article_number":"e102367","date_created":"2024-12-08T20:40:45Z","date_updated":"2024-12-09T09:09:08Z","intvolume":"         9","user_id":"83781","publication_status":"published","title":"Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms","volume":9,"main_file_link":[{"url":"https://doi.org/10.1371/journal.pone.0102367","open_access":"1"}],"citation":{"din1505-2-1":"<span style=\"font-variant:small-caps;\">Shatwell, Tom</span> ; <span style=\"font-variant:small-caps;\">Köhler, Jan</span> ; <span style=\"font-variant:small-caps;\">Nicklisch, Andreas</span>: Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms. In: <i>PLoS ONE</i> Bd. 9. San Francisco, California, US , Public Library of Science (PLoS) (2014), Nr. 7","mla":"Shatwell, Tom, et al. “Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms.” <i>PLoS ONE</i>, vol. 9, no. 7, e102367, 2014, <a href=\"https://doi.org/10.1371/journal.pone.0102367\">https://doi.org/10.1371/journal.pone.0102367</a>.","van":"Shatwell T, Köhler J, Nicklisch A. Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms. PLoS ONE. 2014;9(7).","ufg":"<b>Shatwell, Tom/Köhler, Jan/Nicklisch, Andreas</b>: Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms, in: <i>PLoS ONE</i> 9 (2014), H. 7.","chicago":"Shatwell, Tom, Jan Köhler, and Andreas Nicklisch. “Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms.” <i>PLoS ONE</i> 9, no. 7 (2014). <a href=\"https://doi.org/10.1371/journal.pone.0102367\">https://doi.org/10.1371/journal.pone.0102367</a>.","chicago-de":"Shatwell, Tom, Jan Köhler und Andreas Nicklisch. 2014. Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms. <i>PLoS ONE</i> 9, Nr. 7. doi:<a href=\"https://doi.org/10.1371/journal.pone.0102367\">10.1371/journal.pone.0102367</a>, .","havard":"T. Shatwell, J. Köhler, A. Nicklisch, Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms, PLoS ONE. 9 (2014).","bjps":"<b>Shatwell T, Köhler J and Nicklisch A</b> (2014) Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms. <i>PLoS ONE</i> <b>9</b>.","ieee":"T. Shatwell, J. Köhler, and A. Nicklisch, “Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms,” <i>PLoS ONE</i>, vol. 9, no. 7, Art. no. e102367, 2014, doi: <a href=\"https://doi.org/10.1371/journal.pone.0102367\">10.1371/journal.pone.0102367</a>.","short":"T. Shatwell, J. Köhler, A. Nicklisch, PLoS ONE 9 (2014).","ama":"Shatwell T, Köhler J, Nicklisch A. Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms. <i>PLoS ONE</i>. 2014;9(7). doi:<a href=\"https://doi.org/10.1371/journal.pone.0102367\">10.1371/journal.pone.0102367</a>","apa":"Shatwell, T., Köhler, J., &#38; Nicklisch, A. (2014). Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms. <i>PLoS ONE</i>, <i>9</i>(7), Article e102367. <a href=\"https://doi.org/10.1371/journal.pone.0102367\">https://doi.org/10.1371/journal.pone.0102367</a>"},"type":"scientific_journal_article","place":"San Francisco, California, US ","author":[{"first_name":"Tom","orcid":"0000-0002-4520-7916","last_name":"Shatwell","full_name":"Shatwell, Tom","id":"86424"},{"full_name":"Köhler, Jan","last_name":"Köhler","first_name":"Jan"},{"last_name":"Nicklisch","first_name":"Andreas","full_name":"Nicklisch, Andreas"}],"publisher":"Public Library of Science (PLoS)","publication_identifier":{"eissn":["1932-6203"]},"doi":"10.1371/journal.pone.0102367","abstract":[{"lang":"eng","text":"In lakes, trophic change and climate change shift the relationship between nutrients and physical factors, like temperature and photoperiod, and interactions between these factors should affect the growth of phytoplankton species differently. We therefore determined the relationship between P-limited specific growth rates and P-quota (biovolume basis) of Stephanodiscus minutulus and Nitzschia acicularis (diatoms) at or near light saturation in axenic, semi-continuous culture at 10, 15 and 20 °C and at 6, 9 and 12 h d−1 photoperiod. Photoperiod treatments were performed at constant daily light exposure to allow comparison. Under these conditions, we also performed competition experiments and estimated relative P-uptake rates of the species. Temperature strongly affected P-limited growth rates and relative P uptake rates, whereas photoperiod only affected maximum growth rates. S. minutulus used internal P more efficiently than N. acicularis. N. acicularis was the superior competitor for P due to a higher relative uptake rate and its superiority increased with increasing temperature and photoperiod. S. minutulus conformed to the Droop relationship but N. acicularis did not. A model with a temperature-dependent normalised half-saturation coefficient adequately described the factor interactions of both species. The temperature dependence of the quota model reflected each species’ specific adaptation to its ecological niche. The results demonstrate that increases in temperature or photoperiod can partially compensate for a decrease in P-quota under moderately limiting conditions, like during spring in temperate lakes. Thus warming may counteract de-eutrophication to some degree and a relative shift in growth factors can influence the phytoplankton species composition."}],"year":"2014","publication":"PLoS ONE","status":"public"},{"date_created":"2025-06-17T06:54:30Z","article_number":"e108336","issue":"9","_id":"12987","language":[{"iso":"eng"}],"intvolume":"         9","date_updated":"2025-06-17T13:49:26Z","department":[{"_id":"DEP4010"}],"quality_controlled":"1","year":"2014","doi":"10.1371/journal.pone.0108336","abstract":[{"text":"Mutations in the ABC transporter ABCC6 were recently identified as cause of Pseudoxanthoma elasticum (PXE), a rare genetic disorder characterized by progressive mineralization of elastic fibers. We used an untargeted metabolic approach to identify biochemical differences between human dermal fibroblasts from healthy controls and PXE patients in an attempt to find a link between ABCC6 deficiency, cellular metabolic alterations and disease pathogenesis. 358 compounds were identified by mass spectrometry covering lipids, amino acids, peptides, carbohydrates, nucleotides, vitamins and cofactors, xenobiotics and energy metabolites. We found substantial differences in glycerophospholipid composition, leucine dipeptides, and polypeptides as well as alterations in pantothenate and guanine metabolism to be significantly associated with PXE pathogenesis. These findings can be linked to extracellular matrix remodeling and increased oxidative stress, which reflect characteristic hallmarks of PXE. Our study could facilitate a better understanding of biochemical pathways involved in soft tissue mineralization.","lang":"eng"}],"publication_identifier":{"eissn":["1932-6203"]},"publisher":"Public Library of Science (PLoS)","status":"public","publication":"PLOS ONE / Public Library of Science ","title":"Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls","publication_status":"published","user_id":"83781","author":[{"full_name":"Kuzaj, Patricia","first_name":"Patricia","last_name":"Kuzaj"},{"last_name":"Kuhn","first_name":"Joachim","full_name":"Kuhn, Joachim"},{"last_name":"Michalek","first_name":"Ryan D.","full_name":"Michalek, Ryan D."},{"first_name":"Edward D.","last_name":"Karoly","full_name":"Karoly, Edward D."},{"full_name":"Faust, Isabel","first_name":"Isabel","last_name":"Faust"},{"full_name":"Dabisch-Ruthe, Mareike","id":"66516","last_name":"Dabisch-Ruthe","orcid":"https://orcid.org/0009-0008-7644-0826","first_name":"Mareike"},{"full_name":"Knabbe, Cornelius","first_name":"Cornelius","last_name":"Knabbe"},{"first_name":"Doris","last_name":"Hendig","full_name":"Hendig, Doris"}],"type":"scientific_journal_article","place":"San Francisco, California, US","citation":{"apa":"Kuzaj, P., Kuhn, J., Michalek, R. D., Karoly, E. D., Faust, I., Dabisch-Ruthe, M., Knabbe, C., &#38; Hendig, D. (2014). Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls. <i>PLOS ONE / Public Library of Science </i>, <i>9</i>(9), Article e108336. <a href=\"https://doi.org/10.1371/journal.pone.0108336\">https://doi.org/10.1371/journal.pone.0108336</a>","ama":"Kuzaj P, Kuhn J, Michalek RD, et al. Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls. <i>PLOS ONE / Public Library of Science </i>. 2014;9(9). doi:<a href=\"https://doi.org/10.1371/journal.pone.0108336\">10.1371/journal.pone.0108336</a>","short":"P. Kuzaj, J. Kuhn, R.D. Michalek, E.D. Karoly, I. Faust, M. Dabisch-Ruthe, C. Knabbe, D. Hendig, PLOS ONE / Public Library of Science  9 (2014).","ieee":"P. Kuzaj <i>et al.</i>, “Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls,” <i>PLOS ONE / Public Library of Science </i>, vol. 9, no. 9, Art. no. e108336, 2014, doi: <a href=\"https://doi.org/10.1371/journal.pone.0108336\">10.1371/journal.pone.0108336</a>.","bjps":"<b>Kuzaj P <i>et al.</i></b> (2014) Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls. <i>PLOS ONE / Public Library of Science </i> <b>9</b>.","havard":"P. Kuzaj, J. Kuhn, R.D. Michalek, E.D. Karoly, I. Faust, M. Dabisch-Ruthe, C. Knabbe, D. Hendig, Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls, PLOS ONE / Public Library of Science . 9 (2014).","chicago-de":"Kuzaj, Patricia, Joachim Kuhn, Ryan D. Michalek, Edward D. Karoly, Isabel Faust, Mareike Dabisch-Ruthe, Cornelius Knabbe und Doris Hendig. 2014. Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls. <i>PLOS ONE / Public Library of Science </i> 9, Nr. 9. doi:<a href=\"https://doi.org/10.1371/journal.pone.0108336\">10.1371/journal.pone.0108336</a>, .","chicago":"Kuzaj, Patricia, Joachim Kuhn, Ryan D. Michalek, Edward D. Karoly, Isabel Faust, Mareike Dabisch-Ruthe, Cornelius Knabbe, and Doris Hendig. “Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls.” <i>PLOS ONE / Public Library of Science </i> 9, no. 9 (2014). <a href=\"https://doi.org/10.1371/journal.pone.0108336\">https://doi.org/10.1371/journal.pone.0108336</a>.","ufg":"<b>Kuzaj, Patricia u. a.</b>: Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls, in: <i>PLOS ONE / Public Library of Science </i> 9 (2014), H. 9.","van":"Kuzaj P, Kuhn J, Michalek RD, Karoly ED, Faust I, Dabisch-Ruthe M, et al. Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls. PLOS ONE / Public Library of Science . 2014;9(9).","mla":"Kuzaj, Patricia, et al. “Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls.” <i>PLOS ONE / Public Library of Science </i>, vol. 9, no. 9, e108336, 2014, <a href=\"https://doi.org/10.1371/journal.pone.0108336\">https://doi.org/10.1371/journal.pone.0108336</a>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Kuzaj, Patricia</span> ; <span style=\"font-variant:small-caps;\">Kuhn, Joachim</span> ; <span style=\"font-variant:small-caps;\">Michalek, Ryan D.</span> ; <span style=\"font-variant:small-caps;\">Karoly, Edward D.</span> ; <span style=\"font-variant:small-caps;\">Faust, Isabel</span> ; <span style=\"font-variant:small-caps;\">Dabisch-Ruthe, Mareike</span> ; <span style=\"font-variant:small-caps;\">Knabbe, Cornelius</span> ; <span style=\"font-variant:small-caps;\">Hendig, Doris</span>: Large-Scaled Metabolic Profiling of Human Dermal Fibroblasts Derived from Pseudoxanthoma Elasticum Patients and Healthy Controls. In: <i>PLOS ONE / Public Library of Science </i> Bd. 9. San Francisco, California, US, Public Library of Science (PLoS) (2014), Nr. 9"},"volume":9}]