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Title: Untargeted metabolomics of newborn dried blood spots reveals sex-specific associations with pediatric acute myeloid leukemia.

Authors: Petrick, Lauren; Imani, Partow; Perttula, Kelsi; Yano, Yukiko; Whitehead, Todd; Metayer, Catherine; Schiffman, Courtney; Dolios, Georgia; Dudoit, Sandrine; Rappaport, Stephen

Published In Leuk Res, (2021 Jul)

Abstract: The etiology of pediatric acute myeloid leukemia (AML) is largely unknown, but evidence for mutations in utero and long latency periods suggests that environmental factors play a role. Therefore, we used untargeted metabolomics of archived newborn dried blood spots (DBS) to investigate neonatal exposures as potential causal risk factors for AML. Untargeted metabolomics profiling was performed on DBS punches from 48 pediatric patients with AML and 46 healthy controls as part of the California Childhood Leukemia Study (CCLS). Because sex disparities are suggested by differences in AML incidence rates, metabolite features associated with AML were identified in analyses stratified by sex. There was no overlap between the 16 predictors of AML in females and 15 predictors in males, suggesting that neonatal metabolomic profiles of pediatric AML risk are sex-specific. In females, four predictors of AML were putatively annotated as ceramides, a class of metabolites that has been linked with cancer cell proliferation. In females, two metabolite predictors of AML were strongly correlated with breastfeeding duration, indicating a possible biological link between this putative protective risk factor and childhood leukemia. In males, a heterogeneous metabolite profile of AML predictors was observed. Replication with larger participant numbers is required to validate findings.

PubMed ID: 33971561 Exiting the NIEHS site

MeSH Terms: Computational Biology/methods; Dried Blood Spot Testing*/methods; Female; Humans; Infant, Newborn; Leukemia, Myeloid, Acute/diagnosis*; Leukemia, Myeloid, Acute/etiology; Leukemia, Myeloid, Acute/metabolism*; Male; Metabolome; Metabolomics*/methods; Prognosis; Sex Factors

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