Work

Targeted newborn metabolomics: prediction of gestational age from cord blood

Year: 2022

Type: article

Study design: Observational Study

Source: Journal of Perinatology

DOI: 10.1038/s41372-021-01253-w

Authors: 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

Institutions: University of Iowa, University of California, San Francisco, Infectious Diseases Research Collaboration, Makerere University, Stanford Medicine, Stanford University

Language: English

Topic: Metabolomics and Mass Spectrometry Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: U.S. Department of Health and Human Services, Bill and Melinda Gates Foundation, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: University of California San Francisco - to enable a better understanding of the causes of preterm birth by providing more accurate gestational age measures and to identify better methods ..., G2021596032, Building Interdisciplinary Research Careers in Women's Health, University of Iowa - to test existing models of gestational age prediction using newborn metabolic profiles and build new models using banked cord blood specimens, G8129395352, G8570605782, Novel Strategies to Prevent Malaria and Improve Maternal-Child Health in Africa

OpenAlex ID: W4207052592

FWCI: 0.408

Cites: 27

Cited by: 6

Related to: 10