Targeted newborn metabolomics: prediction of gestational age from cord blood

Elizabeth A. Jasper; Scott P. Oltman; Elizabeth E. Rogers; John M. Dagle; Jeffrey C. Murray; Moses Kamya; Abel Kakuru; Richard Kajubi; Teddy Ochieng; Harriet Adrama; Martin Okitwi; Peter Olwoch; Prasanna Jagannathan; Tamara D. Clark; Grant Dorsey; Theodore Ruel; Laura L. Jelliffe-Pawlowski; Kelli K. Ryckman

doi:10.1038/s41372-021-01253-w

Targeted newborn metabolomics: prediction of gestational age from cord blood

Elizabeth A. Jasper, Scott P. Oltman, Elizabeth E. Rogers, John M. Dagle, Jeffrey C. Murray, Moses Kamya, Abel Kakuru, Richard Kajubi, Teddy Ochieng, Harriet Adrama, Martin Okitwi, Peter Olwoch, Prasanna Jagannathan, Tamara D. Clark, Grant Dorsey, Theodore Ruel, Laura L. Jelliffe-Pawlowski, Kelli K. Ryckman

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Research output: Contribution to journal › Article › peer-review

Abstract

Objective: Our study sought to determine whether metabolites from a retrospective collection of banked cord blood specimens could accurately estimate gestational age and to validate these findings in cord blood samples from Busia, Uganda. Study Design: Forty-seven metabolites were measured by tandem mass spectrometry or enzymatic assays from 942 banked cord blood samples. Multiple linear regression was performed, and the best model was used to predict gestational age, in weeks, for 150 newborns from Busia, Uganda. Results: The model including metabolites and birthweight, predicted the gestational ages within 2 weeks for 76.7% of the Ugandan cohort. Importantly, this model estimated the prevalence of preterm birth <34 weeks closer to the actual prevalence (4.67% and 4.00%, respectively) than a model with only birthweight which overestimates the prevalence by 283%. Conclusion: Models that include cord blood metabolites and birth weight appear to offer improvement in gestational age estimation over birth weight alone.

Original language	English (US)
Pages (from-to)	181-186
Number of pages	6
Journal	Journal of Perinatology
Volume	42
Issue number	2
DOIs	https://doi.org/10.1038/s41372-021-01253-w
State	Published - Feb 2022

ASJC Scopus subject areas

Pediatrics, Perinatology, and Child Health
Obstetrics and Gynecology

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Jasper, E. A., Oltman, S. P., Rogers, E. E., Dagle, J. M., Murray, J. C., Kamya, M., Kakuru, A., Kajubi, R., Ochieng, T., Adrama, H., Okitwi, M., Olwoch, P., Jagannathan, P., Clark, T. D., Dorsey, G., Ruel, T., Jelliffe-Pawlowski, L. L., & Ryckman, K. K. (2022). Targeted newborn metabolomics: prediction of gestational age from cord blood. Journal of Perinatology, 42(2), 181-186. https://doi.org/10.1038/s41372-021-01253-w

Jasper, EA, Oltman, SP, Rogers, EE, Dagle, JM, Murray, JC, Kamya, M, Kakuru, A, Kajubi, R, Ochieng, T, Adrama, H, Okitwi, M, Olwoch, P, Jagannathan, P, Clark, TD, Dorsey, G, Ruel, T, Jelliffe-Pawlowski, LL & Ryckman, KK 2022, 'Targeted newborn metabolomics: prediction of gestational age from cord blood', Journal of Perinatology, vol. 42, no. 2, pp. 181-186. https://doi.org/10.1038/s41372-021-01253-w

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abstract = "Objective: Our study sought to determine whether metabolites from a retrospective collection of banked cord blood specimens could accurately estimate gestational age and to validate these findings in cord blood samples from Busia, Uganda. Study Design: Forty-seven metabolites were measured by tandem mass spectrometry or enzymatic assays from 942 banked cord blood samples. Multiple linear regression was performed, and the best model was used to predict gestational age, in weeks, for 150 newborns from Busia, Uganda. Results: The model including metabolites and birthweight, predicted the gestational ages within 2 weeks for 76.7% of the Ugandan cohort. Importantly, this model estimated the prevalence of preterm birth <34 weeks closer to the actual prevalence (4.67% and 4.00%, respectively) than a model with only birthweight which overestimates the prevalence by 283%. Conclusion: Models that include cord blood metabolites and birth weight appear to offer improvement in gestational age estimation over birth weight alone.",

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doi = "10.1038/s41372-021-01253-w",

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AU - Murray, Jeffrey C.

AU - Kamya, Moses

AU - Kakuru, Abel

AU - Kajubi, Richard

AU - Ochieng, Teddy

AU - Adrama, Harriet

AU - Okitwi, Martin

AU - Olwoch, Peter

AU - Jagannathan, Prasanna

AU - Clark, Tamara D.

AU - Dorsey, Grant

AU - Ruel, Theodore

AU - Jelliffe-Pawlowski, Laura L.

AU - Ryckman, Kelli K.

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Targeted newborn metabolomics: prediction of gestational age from cord blood

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