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Atypical metabolite levels at birth may increase SIDS risk

Study suggests checking for metabolite pattern at birth could provide means to estimate SIDS risk

Date:
September 11, 2024
Source:
NIH/Eunice Kennedy Shriver National Institute of Child Health and Human Development
Summary:
Newborns who had an atypical pattern of metabolites were more than 14 times as likely to die of sudden infant death syndrome (SIDS), compared to infants who had more typical metabolic patterns, according to a new study. Metabolites are molecules produced by the body's various chemical reactions. Researchers found that infants who died of SIDS had a specific pattern of metabolites compared to infants who lived to their first year. The researchers believe that checking for this pattern could provide a way to identify infants at risk for SIDS.
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Newborns who had an atypical pattern of metabolites were more than 14 times as likely to die of sudden infant death syndrome (SIDS), compared to infants who had more typical metabolic patterns, according to a study funded in part by the National Institutes of Health. Metabolites are molecules produced by the body's various chemical reactions. Researchers found that infants who died of SIDS had a specific pattern of metabolites compared to infants who lived to their first year. The researchers believe that checking for this pattern could provide a way to identify infants at risk for SIDS. The study was conducted by Scott Oltman, M.S., of the University of California San Francisco School of Medicine, and colleagues. It appears in JAMA Pediatrics.

SIDS is the sudden, unexplained death of an infant younger than 1 year of age that remains unexplained after a complete investigation. From more than 2 million infants born in California, researchers compared newborn screening test results of 354 SIDS cases to those of 1,416 infants who survived to at least one year old. The state screens all its newborns for many serious disorders. Test results include checking for metabolites that are markers for disorders and conditions. In the study, infants identified with the highest risk metabolic profile involving eight metabolites were 14.4 times more likely to have SIDS than infants with the lowest risk metabolic profile.

The authors say that testing for metabolic patterns may provide a way to identify infants at risk for SIDS soon after birth, which could inform efforts to reduce SIDS risk. Similarly, research on the biochemical pathways that produce the metabolites linked to SIDS may yield insights into the causes of SIDS and ways to reduce its risk. NIH funding for the study was provided by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD).


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Materials provided by NIH/Eunice Kennedy Shriver National Institute of Child Health and Human Development. Note: Content may be edited for style and length.


Journal Reference:

  1. Scott P. Oltman, Elizabeth E. Rogers, Rebecca J. Baer, Ribka Amsalu, Gretchen Bandoli, Christina D. Chambers, Hyunkeun Cho, John M. Dagle, Kayla L. Karvonen, Stephen F. Kingsmore, Safyer McKenzie-Sampson, Allison Momany, Eric Ontiveros, Liana D. Protopsaltis, Larry Rand, Erica Sanford Kobayashi, Martina A. Steurer, Kelli K. Ryckman, Laura L. Jelliffe-Pawlowski. Early Newborn Metabolic Patterning and Sudden Infant Death Syndrome. JAMA Pediatrics, 2024; DOI: 10.1001/jamapediatrics.2024.3033

Cite This Page:

NIH/Eunice Kennedy Shriver National Institute of Child Health and Human Development. "Atypical metabolite levels at birth may increase SIDS risk." ScienceDaily. ScienceDaily, 11 September 2024. <www.sciencedaily.com/releases/2024/09/240911111747.htm>.
NIH/Eunice Kennedy Shriver National Institute of Child Health and Human Development. (2024, September 11). Atypical metabolite levels at birth may increase SIDS risk. ScienceDaily. Retrieved November 21, 2024 from www.sciencedaily.com/releases/2024/09/240911111747.htm
NIH/Eunice Kennedy Shriver National Institute of Child Health and Human Development. "Atypical metabolite levels at birth may increase SIDS risk." ScienceDaily. www.sciencedaily.com/releases/2024/09/240911111747.htm (accessed November 21, 2024).

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