Establishing What Constitutes a Healthy Human Gut Microbiome: State of the Science, Regulatory Considerations, and Future Directions.

On December 17, 2018, the North American branch of the International Life Sciences Institute (ILSI North America) convened a workshop "Can We Begin to Define a Healthy Gut Microbiome Through Quantifiable Characteristics?" with >40 invited academic, government, and industry experts in Washington, DC. The workshop objectives were to 1) develop a collective expert assessment of the state of the evidence on the human gut microbiome and associated human health benefits, 2) see if there was sufficient evidence to establish measurable gut microbiome characteristics that could serve as indicators of "health," 3) identify short- and long-term research needs to fully characterize healthy gut microbiome-host relationships, and 4) publish the findings. Conclusions were as follows: 1) mechanistic links of specific changes in gut microbiome structure with function or markers of human health are not yet established; 2) it is not established if dysbiosis is a cause, consequence, or both of changes in human gut epithelial function and disease; 3) microbiome communities are highly individualized, show a high degree of interindividual variation to perturbation, and tend to be stable over years; 4) the complexity of microbiome-host interactions requires a comprehensive, multidisciplinary research agenda to elucidate relationships between gut microbiome and host health; 5) biomarkers and/or surrogate indicators of host function and pathogenic processes based on the microbiome need to be determined and validated, along with normal ranges, using approaches similar to those used to establish biomarkers and/or surrogate indicators based on host metabolic phenotypes; 6) future studies measuring responses to an exposure or intervention need to combine validated microbiome-related biomarkers and/or surrogate indicators with multiomics characterization of the microbiome; and 7) because static genetic sampling misses important short- and long-term microbiome-related dynamic changes to host health, future studies must be powered to account for inter- and intraindividual variation and should use repeated measures within individuals

Longitudinal EEG power in the first postnatal year differentiates autism outcomes

An aim of autism spectrum disorder (ASD) research is to identify early biomarkers that inform ASD pathophysiology and expedite detection. Brain oscillations captured in electroencephalography (EEG) are thought to be disrupted as core ASD pathophysiology. We leverage longitudinal EEG power measurements from 3 to 36 months of age in infants at low- and high-risk for ASD to test how and when power distinguishes ASD risk and diagnosis by age 3-years. Power trajectories across the first year, second year, or first three years postnatally were submitted to data-driven modeling to differentiate ASD outcomes. Power dynamics during the first postnatal year best differentiate ASD diagnoses. Delta and gamma frequency power trajectories consistently distinguish infants with ASD diagnoses from others. There is also a developmental shift across timescales towards including higher-frequency power to differentiate outcomes. These findings reveal the importance of developmental timing and trajectory in understanding pathophysiology and classifying ASD outcomes.R01 DC010290 - NIDCD NIH HHS; T32 MH112510 - NIMH NIH HHS; U54 HD090255 - NICHD NIH HHSPublished versio

Conceptualizing pathways linking women's empowerment and prematurity in developing countries.

BackgroundGlobally, prematurity is the leading cause of death in children under the age of 5. Many efforts have focused on clinical approaches to improve the survival of premature babies. There is a need, however, to explore psychosocial, sociocultural, economic, and other factors as potential mechanisms to reduce the burden of prematurity. Women's empowerment may be a catalyst for moving the needle in this direction. The goal of this paper is to examine links between women's empowerment and prematurity in developing settings. We propose a conceptual model that shows pathways by which women's empowerment can affect prematurity and review and summarize the literature supporting the relationships we posit. We also suggest future directions for research on women's empowerment and prematurity.MethodsThe key words we used for empowerment in the search were "empowerment," "women's status," "autonomy," and "decision-making," and for prematurity we used "preterm," "premature," and "prematurity." We did not use date, language, and regional restrictions. The search was done in PubMed, Population Information Online (POPLINE), and Web of Science. We selected intervening factors-factors that could potentially mediate the relationship between empowerment and prematurity-based on reviews of the risk factors and interventions to address prematurity and the determinants of those factors.ResultsThere is limited evidence supporting a direct link between women's empowerment and prematurity. However, there is evidence linking several dimensions of empowerment to factors known to be associated with prematurity and outcomes for premature babies. Our review of the literature shows that women's empowerment may reduce prematurity by (1) preventing early marriage and promoting family planning, which will delay age at first pregnancy and increase interpregnancy intervals; (2) improving women's nutritional status; (3) reducing domestic violence and other stressors to improve psychological health; and (4) improving access to and receipt of recommended health services during pregnancy and delivery to help prevent prematurity and improve survival of premature babies.ConclusionsWomen's empowerment is an important distal factor that affects prematurity through several intervening factors. Improving women's empowerment will help prevent prematurity and improve survival of preterm babies. Research to empirically show the links between women's empowerment and prematurity is however needed

Chapter Five. Systematic review results by biomarker classifications

5.1 Markers of Absorption and Permeability Overview 5.2 Markers of Absorption 5.3 Markers of Permeability 5.4 Markers of Digestion 5.5 Markers of Intestinal Inflammation and Intestinal Immune Activation 5.6 Markers of Systemic Inflammation and Systemic Immune Activation 5.7 Markers of Microbial Drivers 5.8 Markers of Nonspecific Intestinal Injury 5.9 Markers of Extra-Small Intestinal Function 5.10 Relationships Between Markers of EED, Including Histopathology 5.11 Relationships between EED Biomarkers and Growth or Other Outcomes of Interesthttps://digitalcommons.wustl.edu/tropicalenteropathybook/1006/thumbnail.jp

Better prepared for retirement? Using panel data to improve wealth estimates of ELSA respondents

We compare the key assumptions underpinning estimates of the pension wealth of ELSA respondents to outcomes over the period from 2002-03 to 2004-05. We find that many of these assumptions have, on average, proved cautious or reasonable. Improving pension wealth calculations using this new evidence makes little difference to the distribution of pension wealth. Previous estimates of retirement resources also considered net financial, physical and housing wealth. Particularly cautious, ex-post, was the assumption that net housing wealth would remain constant in real terms. We find that average housing wealth has risen by almost 40% in nominal terms over just two years, which is in line with growth in the Nationwide House Price Index. This large increase in house prices boosts estimates of total wealth across the entire distribution of wealth. Previous research showed that once half of current net housing wealth was included as a retirement resource 12.6% of employees approaching retirement were estimated to have resources below the Pensions Commission's definition of adequacy. We show that taking into account the high growth in house prices between 2002-03 and 2004-05 reduces this to 10.9%, and that it would fall by a further 1.2 percentage points if house prices were to grow by 2.5% a year in real terms in the future.

Infant self-regulation and body mass index in early childhood

BACKGROUND: Poor self-regulation during preschool and early school age years is associated with rapid weight gain. However, the association between self-regulatory capacities in infancy and weight status in early childhood has not been well studied. Objective: Examine prospective associations between infant self-regulation and body mass index (BMI) in early childhood. We hypothesized that infants exhibiting less optimal self-regulation would be at greater risk of obesity at 3–5 years of life. METHODS: We used data from 5750 children in the Early Childhood Longitudinal Study-Birth Cohort (ECLS-B), excluding premature infants and infants small or large for gestational age. Our primary predictor was infant self-regulation measured at age 9 months by parent completion of the Infant Toddler Symptom Checklist (ITSC). We defined child obesity at preschool and kindergarten age (approximately 4 years and 5–6 years respectively) as a body mass index (BMI) ≥ 95th percentile for age and sex by US Centers for Disease Control growth charts. We created logistic regression models comparing risk of obesity at preschool and kindergarten age in infants with ITSC scores ≥ 6 to infants with scores < 6, controlling for covariates. RESULTS: Twenty-one percent of children with ITSC scores ≥ 6 at 9 months were obese at preschool age compared to 16% of children with lower ITSC scores. At kindergarten age this difference decreased to 18% vs. 16% respectively. After adjusting for covariates, infants with ITSC scores ≥ 6 had 32% increased odds of being obese at preschool age (aOR 1.32; 95% CI: 1.03, 1.70) though this association decreased at kindergarten age (aOR 1.07; 95% CI: 0.79, 1.45). CONCLUSIONS: Poor infant self-regulation at 9 months is associated with an increased risk of obesity at preschool entry but not at kindergarten entry. Helping parents manage and respond to children’s self-regulation difficulties prior to preschool age may serve as a focal point for future interventions.2016-12-01T00:00:00