Hiral Desai

Newborn screening (NBS) is a state-based public health program that aims to identify newborns at risk of certain disorders in the first days after birth to prevent permanent disability or death. Disorders on the Health and Human Services Federal Advisory Committee’s Recommended Uniform Screening Panel (RUSP) have been adopted by most state NBS programs; however, each state mandates specific disorders to be screened and implements their own system processes. Congenital adrenal hyperplasia (CAH) was added to the RUSP in 2005, and currently all 53 NBS programs universally screen for it. This paper provides a landscape of CAH screening in the United States, utilizing data voluntarily entered by state NBS programs in the Newborn Screening Technical assistance and Evaluation Program data repository. Data reported encompasses NBS state profile data (follow-up, disorder testing and the reporting of processes and methodologies for screening), quality indicator data (timeliness of CAH NBS) and confirmed cases. This comprehensive landscape analysis compares the CAH NBS systems across the US. This is vital in ultimately ensuring that newborns with CAH at risk of salt crisis receive appropriate intervention in a timely manner.

A comprehensive knowledge of the types and ratios of microbes that inhabit the healthy human gut is necessary before any kind of pre-clinical or clinical study can be performed that attempts to alter the microbiome to treat a condition or improve therapy outcome. To address this need we present an innovative scalable comprehensive analysis workflow, a healthy human reference microbiome list and abundance profile (GutFeelingKB), and a novel Fecal Biome Population Report (FecalBiome) with clinical applicability. GutFeelingKB provides a list of 157 organisms (8 phyla, 18 classes, 23 orders, 38 families, 59 genera and 109 species) that forms the baseline biome and therefore can be used as healthy controls for studies related to dysbiosis. This list can be expanded to 863 organisms if closely related proteomes are considered. The incorporation of microbiome science into routine clinical practice necessitates a standard report for comparison of an individual’s microbiome to the growing knowledgebase of “normal” microbiome data. The FecalBiome and the underlying technology of GutFeelingKB address this need. The knowledgebase can be useful to regulatory agencies for the assessment of fecal transplant and other microbiome products, as it contains a list of organisms from healthy individuals. In addition to the list of organisms and their abundances, this study also generated a collection of assembled contiguous sequences (contigs) of metagenomics dark matter. In this study, metagenomic dark matter represents sequences that cannot be mapped to any known sequence but can be assembled into contigs of 10,000 nucleotides or higher. These sequences can be used to create primers to study potential novel organisms. All data is freely available from https://hive.biochemistry.gwu.edu/gfkb and NCBI’s Short Read Archive.