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In this study, we applied liquid chromatography\u2013mass spectrometry-based untargeted metabolomics to analyze 346 maternal urine samples collected throughout pregnancy from 36 women with diverse backgrounds and clinical profiles. Key metabolite changes included glucocorticoids, lipids, and amino acid derivatives, indicating systematic pathway alterations. We also developed a machine learning model to accurately predict gestational age using urine metabolites, offering a non-invasive pregnancy dating method. Additionally, we demonstrated the ability of the urine metabolome to predict time-to-delivery, providing a complementary tool for prenatal care and delivery planning. This study highlights the clinical potential of urine untargeted metabolomics in obstetric care.<\/jats:p>","DOI":"10.1093\/bib\/bbaf059","type":"journal-article","created":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T04:36:38Z","timestamp":1738125398000},"source":"Crossref","is-referenced-by-count":2,"title":["Longitudinal urine metabolic profiling and gestational age prediction in human pregnancy"],"prefix":"10.1093","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9608-9964","authenticated-orcid":false,"given":"Xiaotao","family":"Shen","sequence":"first","affiliation":[{"name":"Genetics Department , Stanford University School of Medicine, 300 Pasteur Drive, Stanford, California 94305,","place":["USA"]},{"name":"Lee Kong Chian School of Medicine , Nanyang Technological University, 59 Nanyang Drive, Singapore 636921,","place":["Singapore"]},{"name":"School of Chemistry , Chemical Engineering and Biotechnology, Nanyang Technological University, 62 Nanyang Drive, Singapore 637459,","place":["Singapore"]}]},{"given":"Songjie","family":"Chen","sequence":"additional","affiliation":[{"name":"Genetics Department , Stanford University School of Medicine, 300 Pasteur Drive, Stanford, California 94305,","place":["USA"]},{"name":"Merck & Co. , Inc., 213 East Grand Avenue, South San Francisco, CA 94080,","place":["USA"]}]},{"given":"Liang","family":"Liang","sequence":"additional","affiliation":[{"name":"Genetics Department , Stanford University School of Medicine, 300 Pasteur Drive, Stanford, California 94305,","place":["USA"]},{"name":"Department of Obstetrics and Gynecology and Biochemistry , Medical College of Wisconsin, 8701 Watertown Plank Road, Wauwatosa, Wisconsin 53226,","place":["USA"]}]},{"given":"Monika","family":"Avina","sequence":"additional","affiliation":[{"name":"Genetics Department , Stanford University School of Medicine, 300 Pasteur Drive, Stanford, California 94305,","place":["USA"]}]},{"given":"Hanyah","family":"Zackriah","sequence":"additional","affiliation":[{"name":"Department of Molecular and Cell Biology , University of California, Berkeley, 142 Weill Hall, Berkeley, CA 94720-3200,","place":["USA"]}]},{"given":"Laura","family":"Jelliffe-Pawlowski","sequence":"additional","affiliation":[{"name":"Rory Meyers College of Nursing , New York University, 433 First Avenue, New York, NY 10010,","place":["USA"]},{"name":"School of Medicine , University of California, San Francisco, 513 Parnassus Avenue, San Francisco, CA 94143,","place":["USA"]}]},{"given":"Larry","family":"Rand","sequence":"additional","affiliation":[{"name":"School of Medicine , University of California, San Francisco, 513 Parnassus Avenue, San Francisco, CA 94143,","place":["USA"]}]},{"given":"Michael P","family":"Snyder","sequence":"additional","affiliation":[{"name":"Genetics Department , Stanford University School of Medicine, 300 Pasteur Drive, Stanford, California 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