{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T05:47:32Z","timestamp":1781243252609,"version":"3.54.1"},"reference-count":52,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T00:00:00Z","timestamp":1715299200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Olaris, Inc."}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Metabolites"],"abstract":"<jats:p>Metabolomics, especially urine-based studies, offers incredible promise for the discovery and development of clinically impactful biomarkers. However, due to the unique challenges of urine, a highly precise and reproducible workflow for NMR-based urine metabolomics is lacking. Using 1D and 2D non-uniform sampled (NUS) 1H-13C NMR spectroscopy, we systematically explored how changes in hydration or specific gravity (SG) and pH can impact biomarker discovery. Further, we examined additional sources of error in metabolomics studies and identified Navigator molecules that could monitor for those biases. Adjustment of SG to 1.002\u20131.02 coupled with a dynamic sum-based peak thresholding eliminates false positives associated with urine hydration and reduces variation in chemical shift. We identified Navigator molecules that can effectively monitor for inconsistencies in sample processing, SG, protein contamination, and pH. The workflow described provides quality assurance and quality control tools to generate high-quality urine metabolomics data, which is the first step in biomarker discovery.<\/jats:p>","DOI":"10.3390\/metabo14050275","type":"journal-article","created":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T05:25:47Z","timestamp":1715318747000},"page":"275","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["NMR Precision Metabolomics: Dynamic Peak Sum Thresholding and Navigators for Highly Standardized and Reproducible Metabolite Profiling of Clinical Urine Samples"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3154-2198","authenticated-orcid":false,"given":"Alessia","family":"Trimigno","sequence":"first","affiliation":[{"name":"Olaris, Inc., Framingham, MA 01702, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicole R.","family":"Holderman","sequence":"additional","affiliation":[{"name":"Olaris, Inc., Framingham, MA 01702, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Dong","sequence":"additional","affiliation":[{"name":"Olaris, Inc., Framingham, MA 01702, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kari D.","family":"Boardman","sequence":"additional","affiliation":[{"name":"Olaris, Inc., Framingham, MA 01702, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jifang","family":"Zhao","sequence":"additional","affiliation":[{"name":"Olaris, Inc., Framingham, MA 01702, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5854-9029","authenticated-orcid":false,"given":"Elizabeth M.","family":"O\u2019Day","sequence":"additional","affiliation":[{"name":"Olaris, Inc., Framingham, MA 01702, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Havelund, J.F., Heegaard, N.H.H., F\u00e6rgeman, N.J.K., and Gramsbergen, J.B. 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