Comparison of Current-Use Pesticide and Other Toxicant Urinary Metabolite Levels among Pregnant Women in the CHAMACOS Cohort and NHANES

Abstract The elucidation of dynamic metabolomic changes during gestation is particularly important for the development of methods to evaluate pregnancy status or achieve earlier detection of pregnancy-related complications. Some studies have constructed models to evaluate pregnancy status and predict gestational age using omics data from blood biospecimens; however, less invasive methods are desired. Here we propose a model to predict gestational age, using urinary metabolite information. In our prospective cohort study, we collected 2,741 urine samples from 187 healthy pregnant women, 23 patients with hypertensive disorders of pregnancy, and 14 patients with spontaneous preterm birth. Using gas chromatography-tandem mass spectrometry, we identified 184 urinary metabolites that showed dynamic systematic changes in healthy pregnant women according to gestational age. A model to predict gestational age during normal pregnancy progression was constructed; the correlation coefficient between actual and predicted weeks of gestation was 0.86. The predicted gestational ages of cases with hypertensive disorders of pregnancy exhibited significant progression, compared with actual gestational ages. This is the first study to predict gestational age in normal and complicated pregnancies by using urinary metabolite information. Minimally invasive urinary metabolomics might facilitate changes in the prediction of gestational age in various clinical settings.

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Determinants of organophosphorus pesticide urinary metabolite levels in pregnant women from the CHAMACOS cohort

Environmental Epidemiology ◽

10.1097/01.ee9.0000607892.82401.08 ◽

2019 ◽

Vol 3 ◽

pp. 189

Author(s):

Kalantzi O ◽

Castorina R ◽

Gunier R ◽

Kogut K ◽

Holland N ◽

...

Keyword(s):

Pregnant Women ◽

Organophosphorus Pesticide ◽

Urinary Metabolite

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Phthalate exposure in pregnant women and newborns – The urinary metabolite excretion pattern differs distinctly

International Journal of Hygiene and Environmental Health ◽

10.1016/j.ijheh.2013.01.006 ◽

2013 ◽

Vol 216 (6) ◽

pp. 735-742 ◽

Cited By ~ 40

Author(s):

Uta Enke ◽

Ekkehard Schleussner ◽

Claudia Pälmke ◽

Lydia Seyfarth ◽

Holger Martin Koch

Keyword(s):

Pregnant Women ◽

Urinary Metabolite ◽

Excretion Pattern ◽

Phthalate Exposure

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Exposure assessment of phthalate esters in Japanese pregnant women by using urinary metabolite analysis

Environmental Health and Preventive Medicine ◽

10.1007/s12199-009-0078-9 ◽

2009 ◽

Vol 14 (3) ◽

pp. 180-187 ◽

Cited By ~ 62

Author(s):

Yayoi Suzuki ◽

Mayu Niwa ◽

Jun Yoshinaga ◽

Chiho Watanabe ◽

Yoshifumi Mizumoto ◽

...

Keyword(s):

Pregnant Women ◽

Exposure Assessment ◽

Phthalate Esters ◽

Urinary Metabolite ◽

Metabolite Analysis ◽

Japanese Pregnant Women

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METABOLISM OF OESTRIOL-3-SULPHATE AND OESTRIOL-16(17?)-GLUCOSIDURONATE IN PREGNANT WOMEN

Acta Endocrinologica ◽

10.1530/acta.0.0500273 ◽

1965 ◽

Vol 50 (2) ◽

pp. 273-288 ◽

Cited By ~ 20

Author(s):

U. Goebelsmann ◽

G. Eriksson ◽

N. Wiqvist ◽

E. Diczfalusy

Keyword(s):

Pregnant Women ◽

Continuous Infusion ◽

Intravenous Infusion ◽

Marked Change ◽

Urinary Metabolite ◽

Continuous Intravenous Infusion ◽

Maternal Circulation ◽

Specific Activities ◽

The Relationship ◽

Infusion Period

ABSTRACT A combination of oestriol-15-3H-3-sulphate (OE3-15-3H-3S) and oestriol-16-14C-16(17?)-glucosiduronate (OE3-16-14C-16(17?)Gl) was administered in the form of a continuous intravenous infusion over 310 and 280 min, respectively, to two women at midpregnancy prior to the interruption of gestation. Eighty and 66 per cent, respectively, of the administered 3H-labelled material and 87 and 83 per cent, respectively, of the 14C-labelled material was recovered within 24 hours from the urine of the two subjects. 3H-labelled OE3-3S and both 3H- and 14C-labelled OE3-16(17?)Gl and oestriol-3-glucosiduronate (OE3-3Gl) were isolated from the urine of both patients in a radiochemically homogeneous form. No 14C-labelled material was found in the OE3-3S isolated. During the continuous infusion period, some 26 per cent of the urinary 3H-labelled material was excreted as OE3-3S, 68 per cent was present as OE3-16(17?)Gl and 6 per cent as OE3-3Gl. Corresponding proportions of the 14C-labelled urinary material were: 97 per cent OE3-16(17?)Gl and 3 per cent OE3-3Gl. During the postinfusion period, the pattern of urinary conjugates showed a marked change: only 2 per cent of the 3H-labelled material was excreted as OE3-3S, 31 per cent was OE3-16(17?)Gl and as much as 67 per cent was OE3-3Gl. Corresponding figures for the 14C-labelled material were: 33 per cent OE3-16(17?)Gl and 67 per cent OE3-3Gl. No radioactive oestrogens other than OE3 were detected. The endogenous urinary oestriol (OE3) excretion during the 24 hours of experiment (expressed in OE3-equivalents) was: 0.086 mg OE3-3S, 1.87 mg OE3-16(17?)Gl and 1.57 mg of OE3-3Gl in the first subject and 0.13 mg OE3-3S, 3.01 mg OE3-16(17?)Gl and 1.53 mg of OE3-3Gl in the second patient. From the relationship between the specific activities of the injected and isolated oestriol conjugates the amount of OE3-3S and OE3-16(17?)Gl reaching the maternal circulation during 24 hours was calculated. On basis of these values it is concluded that in midpregnancy the bulk of oestriol conjugates in the blood consists of glucosiduronates rather than of sulphates and that OE3-3Gl is a quantitatively important urinary metabolite not only of circulating OE3, but also of OE3-3S and OE3-16(17?)Gl.

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Urinary metabolite concentrations of organophosphorous pesticides, bisphenol A, and phthalates among pregnant women in Rotterdam, the Netherlands: The Generation R study

Environmental Research ◽

10.1016/j.envres.2008.07.014 ◽

2008 ◽

Vol 108 (2) ◽

pp. 260-267 ◽

Cited By ~ 216

Author(s):

Xibiao Ye ◽

Frank H. Pierik ◽

Russ Hauser ◽

Susan Duty ◽

Jürgen Angerer ◽

...

Keyword(s):

The Netherlands ◽

Bisphenol A ◽

Pregnant Women ◽

Urinary Metabolite ◽

Organophosphorous Pesticides ◽

Metabolite Concentrations

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Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis

Scientific Reports ◽

10.1038/s41598-021-97342-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Takafumi Yamauchi ◽

Daisuke Ochi ◽

Naomi Matsukawa ◽

Daisuke Saigusa ◽

Mami Ishikuro ◽

...

Keyword(s):

Pregnant Women ◽

Gestational Age ◽

Urinary Metabolites ◽

Normal Pregnancy ◽

Urinary Metabolite ◽

Learning Approaches ◽

Hypertensive Disorders Of Pregnancy ◽

Spontaneous Preterm Birth ◽

Hypertensive Disorders ◽

Pregnancy Status

AbstractThe elucidation of dynamic metabolomic changes during gestation is particularly important for the development of methods to evaluate pregnancy status or achieve earlier detection of pregnancy-related complications. Some studies have constructed models to evaluate pregnancy status and predict gestational age using omics data from blood biospecimens; however, less invasive methods are desired. Here we propose a model to predict gestational age, using urinary metabolite information. In our prospective cohort study, we collected 2741 urine samples from 187 healthy pregnant women, 23 patients with hypertensive disorders of pregnancy, and 14 patients with spontaneous preterm birth. Using gas chromatography-tandem mass spectrometry, we identified 184 urinary metabolites that showed dynamic systematic changes in healthy pregnant women according to gestational age. A model to predict gestational age during normal pregnancy progression was constructed; the correlation coefficient between actual and predicted weeks of gestation was 0.86. The predicted gestational ages of cases with hypertensive disorders of pregnancy exhibited significant progression, compared with actual gestational ages. This is the first study to predict gestational age in normal and complicated pregnancies by using urinary metabolite information. Minimally invasive urinary metabolomics might facilitate changes in the prediction of gestational age in various clinical settings.

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