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The microbial cells colonizing the human body form an ecosystem that is integral to the regulation and maintenance of human health. Elucidation of specific associations between the human microbiome and health outcomes is facilitating the development of microbiome-targeted recommendations and treatments (e.g., fecal microbiota transplant; pre-, pro-, and post-biotics) to help prevent and treat disease. However, the potential of such recommendations and treatments to improve human health has yet to be fully realized. Technological advances have led to the development and proliferation of a wide range of tools and methods to collect, store, sequence, and analyze microbiome samples. However, differences in methodology at each step in these analytic processes can lead to variability in results due to the unique biases and limitations of each component. This technical variability hampers the detection and validation of associations with small to medium effect sizes. Therefore, the American Society for Nutrition (ASN) Nutritional Microbiology Group Engaging Members (GEM), sponsored by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS), hosted a satellite session on methods in nutrition and gut microbiome research to review currently available methods for microbiome research, best practices, as well as tools and standards to aid in comparability of methods and results. This manuscript summarizes the topics and research discussed at the session. Consideration of the guidelines and principles reviewed in this session will increase the accuracy, precision, and comparability of microbiome research and ultimately the understanding of the associations between the human microbiome and health.

Objective: To evaluate dietary and physical activity behavior in relation to loneliness among college students. Participants: Three-hundred forty-six incoming first-year students in Fall 2019 at a large state University in the US. Methods: Students completed online surveys in Fall 2019. Multivariable regression analyses were used to model associations of health behaviors with loneliness, adjusting for gender and body mass index (BMI). Results: Two-hundred sixty-four students were included in this analysis. Students in loneliness score ranges of 4–6 and 7–9 have higher fat diet than students in score range of 10–12 (p =.007). Sedentary (19.2%) and low active (53.8%) behaviors were more frequent in students reporting high loneliness than those reporting low loneliness (13.8%, 36.7%, respectively) (p =.006). Conclusions: In this sample of college students, loneliness was related to altered diet quality and physical inactivity. Interventions to reduce loneliness may have a positive effect on health promotion in this population. [ABSTRACT FROM AUTHOR]

Background Emerging cancer treatments are often most available to socially advantaged individuals. This study examines the relationship of patient educational attainment, income level, and rurality to the receipt of genome-matched treatment and overall survival. Methods Survey and clinical data were collected from patients with cancer (n = 1258) enrolled in the Maine Cancer Genomics Initiative. Logistic regression models examined whether receipt of genome-matched treatment differed by patient education, income, and rurality. Kaplan–Meier curves and Cox regression were conducted to evaluate 12-month mortality. We completed additional exploratory analyses using Kaplan–Meier curves and Cox models stratified by receipt of genome-matched treatment. Logistic and Cox regression models were adjusted for age and gender. Results Educational attainment, income level, and rurality were not associated with genome-matched treatment receipt. Of 1258 patients, 462 (36.7%) died within 365 days of consent. Mortality risk was associated with lower educational attainment (hazard ratio [HR] = 1.30, 95% confidence interval [CI] = 1.06 to 1.59; P = .013). No statistically significant differences in mortality risk were observed for income level or rurality. Exploratory models suggest that patients who did not receive genome-matched treatment with lower educational attainment had higher mortality risk (HR = 1.36, 95% CI = 1.09 to 1.69; P = .006). For patients who did receive genome-matched treatment, there was no difference in mortality risk between the education groups (HR = 1.01, 95% CI = 0.56 to 1.81; P  > .9). Conclusion Although there were no disparities in who received genome-matched treatment, we found a disparity in mortality associated with education level, which was more pronounced for patients who did not receive genome-matched treatment. Future research is warranted to investigate the intersectionality of social disadvantage with clinical outcomes to address survival disparities. [ABSTRACT FROM AUTHOR]

Background/Objectives: Examining the risk of depression among patients with diabetes is crucial for understanding the mental health burden of this chronic condition. This study examined the likelihood of depression severity among participants in the National Health And Nutrition Examination Survey (NHANES) from 2005 to 2020, based on glycemic control status. Methods: Depression severity was categorized into three levels using the Patient Health Questionnaire-9 (PHQ-9), and glycemic control status was categorized into five groups based on prior diabetes diagnoses and hemoglobin A1c (HbA1c) levels. Using multinomial logistic regression models, the odds ratio (OR) and 95% confidence intervals (95%CIs) of various severities of depression by glycemic control status were calculated after comprehensive adjustments. Results: Out of 76,496 NHANES participants from 2005 to 2020, 37,037 individuals who met our inclusion criteria were analyzed. The likelihood of depression in individuals with prediabetes was not significantly different from those with normoglycemia. In contrast, participants with diabetes had a higher likelihood of having depression versus individuals with normoglycemia even when they kept their HbA1c within the normal range (lower than 5.7%). Among individuals with diabetes, those with HbA1c < 5.7% had a higher likelihood of mild depression (OR: 1.54, 95%CI: 1.02–2.34), while having HbA1c ≥ 10.0% was significantly associated with a greater likelihood of moderate to severe depression (OR: 1.53, 95%CI: 1.07–2.19) compared to those with HbA1c levels of 5.7–10.0%. Conclusions: Our findings highlight the need for a holistic approach to diabetes care that includes mental health considerations, especially for those who are at the extremes of the HbA1c spectrum. [ABSTRACT FROM AUTHOR]

Examine the proportion of students with rapid firearm access and associations with recent alcohol and marijuana use. Cross-sectional data from college freshmen (n = 183) in 2020 who participated in the Mason: Health Starts Here study. Using logistic regression, associations were examined between past 30-day substance use and access to firearms within 15-min. More than 10% of students could rapidly access a firearm, 53% of whom were current binge drinkers, compared to 13% of those who could not rapidly access firearms. Non-Hispanic White students (AOR = 4.1, 95%CI = 1.3,12.7) and past 30-day binge drinkers (AOR = 6.4, 95%CI = 2.1,19.7) had greater odds of having rapid firearm access. Age, sex, and past 30-day marijuana use were not associated with rapid access. A notable proportion of students had rapid firearm access, which was strongly associated with recent binge drinking. Campus prevention programs should consider how their alcohol and firearm policies could be enhanced to prevent violence/self-harm. [ABSTRACT FROM AUTHOR]

The objective of the study was to evaluate how well college students meet U.S. dietary guidelines by examining the mean intakes of nutrients to limit (sodium, sugar, refined grains, and saturated fat), and what factors lead to exceeding the dietary recommendations. Participants were first-year undergraduate students (N = 269). Diet was assessed using a DHQ-III and estimated with food source composition tables. Multivariable logistic regression analysis was used to model variables associated with exceeding the recommendations. One-sample t-tests were performed to compare the cohort with national intakes. One-third met added sugar guidelines; only 4% met daily refined grains requirements, Fewer than half met saturated fat guidelines, and slightly over half met recommended sodium guidelines. Level of physical activity, race/ethnicity, and living on campus were the important predictors for exceeding recommended intakes. Most students do not adhere to the U.S. dietary guidelines for nutrients to limit. [ABSTRACT FROM AUTHOR]

Abstract Objective: Identifying the food sources contributing most to total energy percentage, macronutrients, vitamin and mineral consumption among college freshmen, and whether sex played a role. Participants: First-year undergraduate students (N = 269). Methods: Diet was assessed using a DHQ-III and estimated with food source composition tables. Nutrient intakes were expressed as a percentage of total dietary intakes for each food category. Mann-Whitney U tests were used to determine the differences between the two sexes for each food category. Results: A significant proportion of energy and nutrients is contributed by certain food categories, such as grain products, meat, poultry, fish; however, other less desirable sources of energy and nutrient are also identified, including sugary and sports drinks. Among female students, a greater portion of nutritional intakes came from healthier choices. Conclusions: A majority of total energy intake comes from food categories that are energy-dense but also provide essential nutrients. [ABSTRACT FROM AUTHOR]

Urinary O-desmethylangolensin (ODMA) concentrations provide a functional gut microbiome marker of dietary isoflavone daidzein metabolism to ODMA. Individuals who do not have gut microbial environments that produce ODMA have less favourable cardiometabolic and cancer risk profiles. Urinary metabolomics profiles were evaluated in relation to ODMA metabotypes within and between individuals over time. Secondary analysis of data was conducted from the BEAN2 trial, which was a cross-over study of premenopausal women consuming 6 months on a high and a low soya diet, each separated by a 1-month washout period. In all of the 672 samples in the study, sixty-six of the eighty-four women had the same ODMA metabotype at seven or all eight time points. Two or four urine samples per woman were selected based on temporal metabotypes in order to compare within and across individuals. Metabolomics assays for primary metabolism and biogenic amines were conducted in sixty urine samples from twenty women. Partial least-squares discriminant analysis was used to compare metabolomics profiles. For the same ODMA metabotype across different time points, no profile differences were detected. For changes in metabotype within individuals and across individuals with different metabotypes, distinct metabolomes emerged. Influential metabolites (variables importance in projection score > 2) included several phenolic compounds, carnitine and derivatives, fatty acid and amino acid metabolites and some medications. Based on the distinct metabolomes of producers v. non-producers, the ODMA metabotype may be a marker of gut microbiome functionality broadly involved in nutrient and bioactive metabolism and should be evaluated for relevance to precision nutrition initiatives. [ABSTRACT FROM AUTHOR]