Serum metabolome indicators of early childhood development in the Brazilian National Survey on Child Nutrition (ENANI-2019).

The role of circulating metabolites on child development is understudied. We investigated associations between children's serum metabolome and early childhood development (ECD). Untargeted metabolomics was performed on serum samples of 5,004 children aged 6-59 months, a subset of participants from the Brazilian National Survey on Child Nutrition (ENANI-2019).

A Software Tool for Rapid and Automated Preprocessing of Large-Scale Serum Metabolomic Data by Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry.

Mass spectrometry (MS)-based metabolomics often rely on separation techniques when analyzing complex biological specimens to improve method resolution, metabolome coverage, quantitative performance, and/or unknown identification. However, low sample throughput and complicated data preprocessing procedures remain major barriers to affordable metabolomic studies that are scalable to large populations. Herein, we introduce PeakMeister as a new software tool in the R statistical environment to enable standardized processing of serum metabolomic data acquired by multisegment injection-capillary electrophoresis-mass spectrometry (MSI-CE-MS), a high-throughput separation platform (<4 min/sample) which takes advantage of a serial injection format of 13 samples within a single analytical run.

Maternal schooling and child's age interaction and its association with ultra-processed food consumption in Brazilian children <5 years of age: Results from the Brazilian National Survey on Child Nutrition (ENANI-2019).

Background: The consumption of ultra-processed foods (UPFs) has increased worldwide, including among children. Maternal schooling has been associated with children's UPF consumption. The present study examined the interaction between maternal schooling and child age in the association with UPF consumption in Brazilian children <5 years.