biostudies-literatureContrepois KNational Institute of Allergy and Infectious DiseasesBill & Melinda Gates FoundationNICHD NIH HHSFIC NIH HHSNIAID NIH HHSNational Institutes of HealthBill and Melinda Gates FoundationNIH HHS8033https://www.ebi.ac.uk/biostudies/studies/S-EPMC9110694biostudies-literatureUnknown12(1)Assessment of gestational age (GA) is key to provide optimal care during pregnancy. However, its accurate determination remains challenging in low- and middle-income countries, where access to obstetric ultrasound is limited. Hence, there is an urgent need to develop clinical approaches that allow accurate and inexpensive estimations of GA. We investigated the ability of urinary metabolites to predict GA at time of collection in a diverse multi-site cohort of healthy and pathological pregnancies (n = 99) using a broad-spectrum liquid chromatography coupled with mass spectrometry (LC-MS) platform. Our approach detected a myriad of steroid hormones and their derivatives including estrogens, progesterones, corticosteroids, and androgens which were associated with pregnancy progression. We devScientific reportsPrediction of gestational age using urinary metabolites in term and preterm pregnancies.PMC9110694P30 AI050410R35GM138353T32 HD0757312RM1HG00773506P30AI050410OPP1113682K01 TW010857OPP1203327Stringer JSAAhmed SKhanam RPrice JTChen SHotwani AQuaiyum ARahman ANisar MIRaqib RMusonda PNizar ARahman MAli SMBahl RChauhan AManu AKabir FRahman SDeb SIlyas MChowdhury NHStevenson DKBaqui AHVwalika BKhan WKhalid JPervin JDas SAftab FDhingra UJehan FHasan TDutta AMehmood UAme SMContrepois KSazawal SShaw GSnyder MPGhaemi MSWong RJYoshida SLitch JAAlliance for Maternal and Newborn Health Improvement (AMANHI)Kasaro MPAghaeepour NGlobal Alliance to Prevent Prematurity and Stillbirth (GAPPS)Muhammad SJuma MHfalsePrediction of gestational age using urinary metabolites in term and preterm pregnancies.Assessment of gestational age (GA) is key to provide optimal care during pregnancy. However, its accurate determination remains challenging in low- and middle-income countries, where access to obstetric ultrasound is limited. Hence, there is an urgent need to develop clinical approaches that allow accurate and inexpensive estimations of GA. We investigated the ability of urinary metabolites to predict GA at time of collection in a diverse multi-site cohort of healthy and pathological pregnancies (n = 99) using a broad-spectrum liquid chromatography coupled with mass spectrometry (LC-MS) platform. Our approach detected a myriad of steroid hormones and their derivatives including estrogens, progesterones, corticosteroids, and androgens which were associated with pregnancy progression. We dev2022-01-01T00:00:00Z2022 May2025-05-18T12:08:37.094Z2025-05-18T12:08:37.094ZS-EPMC91106943557787510.1038/s41598-022-11866-6