Bioinformatic methodologies play a crucial role in the assessment of gut microbiota, offering advanced tools for analyzing complex microbial communities. These methodologies involve high-throughput sequencing technologies, such as 16S rRNA gene sequencing and metagenomics, which generate vast amounts of data on microbial diversity and functional potential, as well as whole-genome sequencing, which, while being more costly, has a more expansive potential. Bioinformatics tools and algorithms process these data to identify microbial taxa and quantify and elucidate their roles within the microbiome. Advanced statistical and computational models further enable the identification of microbiota patterns associated with various diseases and health conditions. Overall, bioinformatic approaches are essential for deciphering the complexities of gut microbiota so that, in the future, we may be able to discover treatments and technologies aimed at restoring or optimizing the microbiome. The goal of this review is to describe the differences in methodology and utilization of 16S versus whole-genome sequencing to address the increased understanding of the role that the gut microbiome plays in human physiology and pathology.

The brain is traditionally viewed as an immunologically privileged site; however, there are known to be multiple resident immune cells that influence the CNS environment and are reactive to extra-CNS signaling. Microglia are an important component of this system, which influences early neurodevelopment in addition to modulating inflammation and regenerative responses to injury and infection. Microglia are influenced by gut microbiome-derived metabolites, both as part of their normal function and potentially in pathological patterns that may induce neurodevelopmental disabilities or behavioral changes. This review aims to summarize the mounting evidence indicating that, not only is the Gut–Brain axis mediated by metabolites and microglia throughout an organism’s lifetime, but it is also influenced prenatally by maternal microbiome and diet, which holds implications for both early neuropathology and neurodevelopment.

Social Determinants of Health (SDOH) impact nearly half of health outcomes, surpassing the influence of human behavior, clinical care, and the physical environment. SDOH has five domains: Economic Stability, Education Access and Quality, Health Care Access and Quality, Neighborhood and Built Environment, and Social and Community Context. Any adversity arising out of these interlinked domains predominantly affects children due to their greater susceptibility, and the adverse outcomes may span generations. Unfavorable SDOH may cause food insecurity, malnutrition, unbalanced gut microbiome, acute and chronic illnesses, inadequate education, unemployment, and lower life expectancy. Systematic screening by health care workers and physicians utilizing currently available tools and questionnaires can identify children susceptible to adverse childhood experiences, but there is a deficiency with respect to streamlined approach and institutional support. Additionally, current ameliorating supplemental food programs fall short of pediatric nutritional requirements. We propose a nutrition-based Surveillance, Screening, Referral, and Reevaluation (SSRR) plan encompassing a holistic approach to SDOH with a core emphasis on food insecurity, coupled with standardizing outcome-based interventions. We also propose more inclusive use of Food Prescription Programs, tailored to individual children’s needs, with emphasis on education and access to healthy food.