{"data":{"id":"10.6084/m9.figshare.24988658","type":"dois","attributes":{"doi":"10.6084/m9.figshare.24988658","prefix":"10.6084","suffix":"m9.figshare.24988658","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Yozgat, Ihsan","givenName":"Ihsan","familyName":"Yozgat","affiliation":[],"nameIdentifiers":[]},{"name":"Cakır, Ulkem","givenName":"Ulkem","familyName":"Cakır","affiliation":[],"nameIdentifiers":[]},{"name":"Serdar, Muhittin Abdulkadir","givenName":"Muhittin Abdulkadir","familyName":"Serdar","affiliation":[],"nameIdentifiers":[]},{"name":"Sahin, Sevgi","givenName":"Sevgi","familyName":"Sahin","affiliation":[],"nameIdentifiers":[]},{"name":"Sezerman, Osman Ugur","givenName":"Osman Ugur","familyName":"Sezerman","affiliation":[],"nameIdentifiers":[]},{"name":"Nemutlu, Emirhan","givenName":"Emirhan","familyName":"Nemutlu","affiliation":[],"nameIdentifiers":[]},{"name":"Baykal, Ahmet Tarik","givenName":"Ahmet Tarik","familyName":"Baykal","affiliation":[],"nameIdentifiers":[]},{"name":"Serteser, Mustafa","givenName":"Mustafa","familyName":"Serteser","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Longitudinal non-targeted metabolomic profiling of urine samples for monitoring of kidney transplantation patients"}],"publisher":"Taylor \u0026 Francis","container":{},"publicationYear":2024,"subjects":[{"subject":"Medicine"},{"subject":"Biotechnology"},{"subject":"Environmental Sciences not elsewhere classified"},{"subject":"Ecology"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Biological Sciences not elsewhere classified"},{"subject":"Marine Biology"}],"contributors":[],"dates":[{"date":"2024-01-12","dateType":"Created"},{"date":"2025-04-11","dateType":"Updated"},{"date":"2024","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1080/0886022x.2023.2300736","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["15263232 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"The assessment of kidney function within the first year following transplantation is crucial for predicting long-term graft survival. This study aimed to develop a robust and accurate model using metabolite profiles to predict early long-term outcomes in patient groups at the highest risk of early graft loss. A group of 61 kidney transplant recipients underwent thorough monitoring during a one-year follow-up period, which included a one-week hospital stay and follow-up assessments at three and six months. Based on their 12-month follow-up serum creatinine levels: Group 2 had levels exceeding 1.5 mg/dl, while Group 1 had levels below 1.5 mg/dl. Metabolites were detected by mass spectrometer and first pre-processed. Univariate and multivariate statistical analyses were employed to identify significant differences between the two groups. Nineteen metabolites were found to differ significantly in the 1\u003csup\u003est\u003c/sup\u003e week, and seventeen metabolites in the 3\u003csup\u003erd\u003c/sup\u003e month (adjusted p-value \u0026lt; 0.05, quality control (QC) \u0026lt; 30, a fold change (FC) \u0026gt; 1.1 or a FC \u0026lt; 0.91, Variable Influence on Projection (VIP) \u0026gt; 1). However, no significant differences were observed in the 6\u003csup\u003eth\u003c/sup\u003e month. These distinctive metabolites mainly belonged to lipid, fatty acid, and amino acid categories. Ten models were constructed using a backward conditional approach, with the best performance seen in model 5 for Group 2 at the 1st-week mark (AUC 0.900) and model 3 at the 3\u003csup\u003erd\u003c/sup\u003e-month mark (AUC 0.924). In conclusion, the models developed in the early stages may offer potential benefits in the management of kidney transplant patients.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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