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Dietary supplement use in the United States is widespread and increasing, especially among certain population groups, such as older Americans. The science surrounding dietary supplements has evolved substantially over the last few decades since their formal regulation in 1994. Much has been learned about the mechanisms of action of many dietary supplement ingredients, but the evidence on their health effects is still building. As is true of much nutrition research, there are many studies that point to health effects, but not all are at the level of scientific evidence (e.g., randomized controlled interventions), rigor, or quality needed for definitive statements of efficacy regarding clinical end points. New technologies and approaches are being applied to the science of dietary supplements, including nutrigenomics and microbiome analysis, data science, artificial intelligence (AI), and machine learning-all of which can elevate the science behind dietary supplements. Products can contain an array of bioactive compounds derived from foods as well as from medicinal plants, which creates enormous challenges in data collection and management. Clinical applications, particularly those aimed at providing personalized nutrition options for patients, have become more sophisticated as dietary supplements are incorporated increasingly into clinical practice and self-care. The goals of this article are to provide historical context for the regulation and science of dietary supplements, identify research resources, and suggest some future directions for science in this field.
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Suplementos Dietéticos , Humanos , Inteligencia Artificial , Suplementos Dietéticos/historia , Suplementos Dietéticos/normas , Nutrigenómica , Estados UnidosRESUMEN
ABSTRACTObjectives: Carotenoids are plant pigments that accumulate in human tissue (e.g. macula and skin) and can serve as biomarkers for diet quality; however, knowledge on skin and macular carotenoids in relation to cognition in children is limited. This study aimed to address this gap by assessing links between skin and macular carotenoids and academic achievement in school-aged children.Methods: Children 7-12 years old (n = 81) participated in a crosssectional study. Skin and macular carotenoids were measured with reflection spectroscopy and heterochromatic flicker photometry, respectively. Academic achievement was measured using Woodcock-Johnson IV (WJ-IV). Body Mass Index was calculated using height and weight measurements, demographic information was collected using a family demographics and pediatric health history questionnaire, and carotenoid intake was assessed using 7-day diet records.Results: Skin carotenoids were not related to macular pigment (r = 0.08, p = 0.22). Adjusting for age, sex, BMI percentile, household income, and total carotenoid consumption (mg/1000kcal), skin carotenoids were predictive of math (ß = 0.27, p = 0.02), broad math (ß = 0.36, p < 0.01) and math calculation (ß = 0.38, p < 0.01). Skin carotenoids displayed trending relationships with broad reading (ß = 0.23, p = 0.05) and reading fluency (ß = 0.22, p = 0.07). There were no significant associations between macular pigment and academic achievement (all ß's ≤ 0.07, all p's ≥ 0.56).Discussion: Skin carotenoids were positively associated with academic abilities in children, while macular carotenoids did not display this relationship. Future interventions examining prospective effects of changes in carotenoids in different tissues on childhood academic achievement are warranted.
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BACKGROUND: Honey improves probiotic survival in vitro. However, if this effect translates to humans has not been investigated. OBJECTIVES: We aimed to determine effects of honey plus yogurt containing the probiotic Bifidobacterium animalis subsp. lactis DN-173 010/CNCM I-2494 (B. animalis) on intestinal transit time, probiotic enrichment, digestive health, mood, and cognition in adults. METHODS: Sixty-six healthy adults (34 female; 33.6 ± 9.8 y; 24.6 ± 3.0 kg/m2) in a crossover trial were randomly assigned to 2-wk yogurt conditions in a counterbalanced order with ≥4-wk washout: 1) Honey (HON): yogurt plus honey and 2) Negative Control (NC): heat-treated yogurt plus sugar. Of the participants, n = 62 completed the trial, and n = 37 (17 female; 32.0 ± 8.3 y; 25.0 ± 2.9 kg/m2) elected to enroll in a third condition (a nonrandomized study extension) after ≥4-wk washout with a reference Positive Control (PC): yogurt plus sugar. At baseline and end of each of the 3 conditions, intestinal transit time was measured with dye capsules; probiotic abundance with fecal DNA 16S sequencing; digestive health with symptom/function records, Bristol stool consistency, Gastrointestinal Tolerability, and Gastrointestinal Quality of Life Index; mood with Positive and Negative Affect Schedule-Short Form, Depression Anxiety Stress Scales-42, Patient-Reported Outcomes Measurement Information System questionnaires, and an emotional image task; and cognition with a spatial reconstruction task. Data were analyzed using linear mixed-effects models (LMMs) with significance at P ≤ 0.05. Baseline and end data were included in the LMM, with fixed effects being treatment, time, treatment by time interaction, and baseline covariate, and the random effect being the participant. RESULTS: B. animalis was enriched in HON (d = 3.54; P = 0.0002) compared to controls with linear discriminant analysis effect size. Intestinal transit time, gastrointestinal health, mood, and cognition did not differ between conditions (LMM: Ps > 0.05). CONCLUSIONS: Yogurt + honey enriched B. animalis but did not reduce intestinal transit time or have other functional gastrointestinal, mood, or cognitive effects in adults. This trial was registered at www. CLINICALTRIALS: gov as NCT04187950 and NCT04901390.
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Bifidobacterium animalis , Estudios Cruzados , Tránsito Gastrointestinal , Miel , Probióticos , Yogur , Humanos , Yogur/microbiología , Probióticos/administración & dosificación , Femenino , Adulto , Masculino , Cognición , Adulto Joven , AfectoRESUMEN
The Mediterranean-Dietary Approaches to Stop Hypertension (DASH) Intervention for Neurodegenerative Delay (MIND) dietary pattern is associated with reduced cognitive decline and dementia risk. However, the nutrient features that distinguish the MIND from other patterns are unknown. We investigated the relationship between accordance to the MIND pattern and carotenoid intake (phytonutrients hypothesized to confer neuroprotection) relative to the Mediterranean, DASH, and Healthy Eating Index (HEI-2020). We hypothesized that MIND diet accordance would be a stronger predictor of carotenoid intake relative to other diet indices. A total of 396 adults (aged 19-82 years) completed the Dietary History Questionnaire to assess carotenoid intake and adherence to each diet index. Stepwise regressions with adjustment for covariates followed by the Meng's Z-test were used to compare correlation strength between each diet pattern and carotenoid. All diet patterns were positively associated with lutein and zeaxanthin, ß-carotene, α-carotene, and ß-cryptoxanthin (all ßs ≥0.38, Ps <.01). Effect size comparisons revealed that MIND accordance predicted a greater proportion of variance in lutein and zeaxanthin (all Zs ≥ 3.3, Ps < .001) and ß-carotene (all Zs ≥ 2.6, Ps < .01) relative to the Mediterranean, DASH, and HEI-2020. MIND accordance explained a greater proportion of variance in α-carotene (Z = 3.8, P < .001) and ß-cryptoxanthin (Z = 3.6, P < .001) relative to the HEI-2020. MIND diet accordance was disproportionately related to carotenoid intake, indicating the MIND index places greater emphasis on carotenoid-rich foods, particularly those containing lutein, zeaxanthin, and ß-carotene, relative to other diet indices. Future research is needed to define the role of these carotenoids in nutritional interventions for cognitive health.
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Carotenoides , Dieta Saludable , Dieta Mediterránea , Enfoques Dietéticos para Detener la Hipertensión , Humanos , Persona de Mediana Edad , Anciano , Masculino , Femenino , Carotenoides/administración & dosificación , Adulto , Anciano de 80 o más Años , Adulto Joven , Luteína/administración & dosificación , Conducta Alimentaria , beta Caroteno/administración & dosificación , Dieta , Zeaxantinas/administración & dosificación , Patrones DietéticosRESUMEN
BACKGROUND: Bifidobacterium animalis ssp. lactis DN-173 010/CNCM I-2494 (B. animalis) is a probiotic strain commonly added to yogurt. Yogurt and honey are a popular culinary pairing. Honey improves bifidobacteria survival in vitro. However, probiotic survival in yogurt with honey during in vitro digestion has not been investigated. OBJECTIVES: The study aimed to evaluate the effects of different honey varietals and concentrations on B. animalis survivability in yogurt through in vitro digestion. METHODS: Yogurt with honey or control-treated samples underwent in vitro simulated oral, gastric, and intestinal digestion. B. animalis cells were enumerated on de Man Rogosa and Sharpe (MRS) medium followed by an overlay with a modified selective MRS medium; all underwent anaerobic incubation. B. animalis were enumerated predigestion and after oral, gastric, and intestinal digestion. There were 2 study phases: Phase 1 tested 4 honey varietals at 20% wt/wt per 170 g yogurt, and Phase 2 tested 7 dosages of clover honey (20, 14, 10, 9, 8, 6, and 4% wt/wt) per 170 g yogurt. RESULTS: Similar B. animalis counts were observed between all treatments after oral and gastric digestion (<1 Log colony forming units (CFU)/g probiotic reduction). Higher B. animalis survivability was observed in yogurt with clover honey after exposure to simulated intestinal fluids (â¼3.5 Log CFU/g reduction; P < 0.05) compared to all control treatments (â¼5.5 Log CFU/g reduction; P < 0.05). Yogurt with 10-20% wt/wt clover honey increased B. animalis survivability after simulated in vitro digestion (≤ â¼4.7 Log CFU/g survival; P < 0.05). CONCLUSIONS: Yogurt with added honey improves probiotic survivability during in vitro digestion. The effective dose of clover honey in yogurt was 10-20% wt/wt per serving (1-2 tablespoons per 170 g yogurt) for increased probiotic survivability during in vitro digestion.
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Bifidobacterium animalis , Miel , Probióticos , Humanos , Yogur/microbiología , Bifidobacterium , Probióticos/uso terapéutico , DigestiónRESUMEN
BACKGROUND: Undigested components of the human diet affect the composition and function of the microorganisms present in the gastrointestinal tract. Techniques like metagenomic analyses allow researchers to study functional capacity, thus revealing the potential of using metagenomic data for developing objective biomarkers of food intake. OBJECTIVES: As a continuation of our previous work using 16S and metabolomic datasets, we aimed to utilize a computationally intensive, multivariate, machine-learning approach to identify fecal KEGG (Kyoto encyclopedia of genes and genomes) Orthology (KO) categories as biomarkers that accurately classify food intake. METHODS: Data were aggregated from 5 controlled feeding studies that studied the individual impact of almonds, avocados, broccoli, walnuts, barley, and oats on the adult gastrointestinal microbiota. Deoxyribonucleic acid from preintervention and postintervention fecal samples underwent shotgun genomic sequencing. After preprocessing, sequences were aligned and functionally annotated with Double Index AlignMent Of Next-generation sequencing Data v2.0.11.149 and MEtaGenome ANalyzer v6.12.2, respectively. After the count normalization, the log of the fold change ratio for resulting KOs between pre- and postintervention of the treatment group against its corresponding control was utilized to conduct differential abundance analysis. Differentially abundant KOs were used to train machine-learning models examining potential biomarkers in both single-food and multi-food models. RESULTS: We identified differentially abundant KOs in the almond (n = 54), broccoli (n = 2474), and walnut (n = 732) groups (q < 0.20), which demonstrated classification accuracies of 80%, 87%, and 86% for the almond, broccoli, and walnut groups using a random forest model to classify food intake into each food group's respective treatment and control arms, respectively. The mixed-food random forest achieved 81% accuracy. CONCLUSIONS: Our findings reveal promise in utilizing fecal metagenomics to objectively complement self-reported measures of food intake. Future research on various foods and dietary patterns will expand these exploratory analyses for eventual use in feeding study compliance and clinical settings.
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Microbioma Gastrointestinal , Juglans , Adulto , Humanos , Metagenoma , Dieta , Heces , Biomarcadores , Ingestión de Alimentos , Metagenómica/métodosRESUMEN
An emerging body of scientific evidence demonstrates that the food matrix-the interaction among nutrients, bioactive components, and physical structure of a food-can affect health in significant, unexpected ways beyond its individual nutrients. In particular, research suggests that consumption of dairy foods such as milk, yogurt, and cheese may affect human health in a matrix-dependent fashion. To disseminate and discuss the growing body of evidence surrounding the role of the dairy food matrix on cardiometabolic health, 3 expert researchers on the topic of the food matrix shared the latest science in a session entitled "Next-Level Health Solutions: The Magic of the Matrix" at the American Society for Nutrition's 2022 LIVE ONLINE Conference. This article is a summary of the literature presented and discussed during that session. A substantial body of literature demonstrates that full-fat dairy foods, particularly fermented dairy foods, may beneficially modulate cardiometabolic outcomes depending on an individual's health status. These findings have important implications for current authoritative dietary guidance that recommends the consumption of low-fat or fat-free dairy foods. Furthermore, this evidence may inform practical applications of harnessing dairy's unique profile of bioactives for health promotion and disease prevention at the individual and community levels.
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BACKGROUND: Carotenoids are plant pigments with light filtering and antioxidant properties that deposit in human tissues, including retina and skin. Descriptive characteristics and covariates of carotenoid status in macula and skin have been examined in adults; however, similar studies in children are limited. Thus, this study aimed to delineate how factors of age, sex, race, weight status, and dietary carotenoid intake relate to macular and skin carotenoids in children. METHODS: Children (7-13 y, N = 375) completed heterochromatic flicker photometry to assess macular pigment optical density (MPOD). Participants underwent anthropometrics to measure weight status (BMI percentile [BMI%]), and parent/guardian provided demographic information. Subsample data were available for skin carotenoids (N = 181), assessed using reflection spectroscopy, and dietary carotenoids (N = 101) using the Block Food Frequency Questionnaire. Relationships between skin and macular carotenoids were assessed using partial Pearson's correlations controlling for age, sex, race, and BMI%. Relationships between dietary carotenoids and macular and skin carotenoids were assessed using stepwise linear regression including age, sex, race, and BMI% in the model. RESULTS: Mean MPOD was 0.56 ± 0.22 and skin carotenoid score was 282 ± 94.6. There was no significant correlation between MPOD and skin carotenoids (r = 0.02, P = 0.76). BMI% was negatively associated with skin (stdß = -0.42, P < 0.001), but not macular carotenoids (stdß = -0.04, P = 0.70). Neither MPOD nor skin carotenoids were associated with age, sex, or race (all P > 0.10). MPOD was positively associated with energy-adjusted reported lutein + zeaxanthin intake (stdß = 0.27, P = 0.01). Skin carotenoids were positively associated with energy-adjusted reported carotenoid intake (stdß = 0.26, P = 0.01). CONCLUSIONS: The mean MPOD values in children were higher than what has been reported in adult populations. Previous studies in adult samples report an average MPOD of 0.21. Although macular and skin carotenoids were not related, they were associated with dietary carotenoids relevant to the respective tissues; however, skin carotenoids may be more susceptible negative influence from higher weight status.
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Mácula Lútea , Pigmento Macular , Adulto , Humanos , Niño , Luteína , Zeaxantinas , Mácula Lútea/química , RetinaRESUMEN
The effects of following the Mediterranean-Dietary Approaches to Stop Hypertension (DASH) Intervention for Neurodegenerative Delay (MIND) diet on metabolic health remains understudied. This cross-sectional analysis of 163 adults investigated associations between adherence to the MIND, Mediterranean, DASH, and Healthy Eating Index (HEI-2015) diets and metabolic syndrome (MetS) features and visceral adiposity. We hypothesized that the MIND diet would show the most beneficial associations with MetS risk factors. Diet adherence was assessed using the Dietary History Questionnaire II. Visceral adipose was assessed using dual-energy X-ray absorptiometry. Waist circumference and systolic and diastolic blood pressures were obtained. Fasting blood triglycerides, high-density lipoprotein cholesterol, and glucose concentrations were determined. Stepwise regression analyses were applied. Waist circumference was inversely associated with DASH (ß = -0.21, P < .01), HEI-2015 (ß = -0.18, P = .01), and MIND (ß = -0.19, P < .01). Triglycerides were inversely associated with DASH (ß = -0.19, P = .01), HEI-2015 (ß = -0.18, P = .02), and MIND (ß = -0.23, P < .01). High-density lipoprotein cholesterol was positively associated with Mediterranean (ß = 0.18, P = .02) and MIND (ß = 0.21, P < .01). Systolic blood pressure was inversely associated with Mediterranean (ß = -0.18, P = .02), DASH (ß = -0.30, P < .01), HEI-2015 (ß = -0.24, P < .01), and MIND (ß = -0.25, P < .01). Diastolic blood pressure was inversely associated with Mediterranean (ß = -0.26, P < .01), DASH (ß = -0.34, P < .01), HEI-2015 (ß = -0.24, P < .01), and MIND (ß = -0.31, P < .01). Fasting glucose was inversely associated with MIND (ß = -0.19, P = .02). Visceral adiposity was inversely associated with Mediterranean (ß = -0.19, P < .01), DASH (ß = -0.22, P < .01), HEI-2015 (ß = -0.22, P < .01), and MIND (ß = -0.28, P < .01). Although each diet exhibited potential benefits for metabolic outcomes, only greater MIND diet adherence was associated with lower visceral adiposity and each MetS feature in adults.
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Dieta Mediterránea , Síndrome Metabólico , Adulto , Humanos , Estudios Transversales , Adiposidad , Dieta/efectos adversos , Obesidad Abdominal , Triglicéridos , HDL-Colesterol , GlucosaRESUMEN
Fermented foods are often erroneously equated with probiotics. Although they might act as delivery vehicles for probiotics, or other 'biotic' substances, including prebiotics, synbiotics, and postbiotics, stringent criteria must be met for a fermented food to be considered a 'biotic'. Those criteria include documented health benefit, sufficient product characterization (for probiotics to the strain level) and testing. Similar to other functional ingredients, the health benefits must go beyond that of the product's nutritional components and food matrix. Therefore, the 'fermented food' and 'probiotic' terms may not be used interchangeably. This concept would apply to the other biotics as well. In this context, the capacity of fermented foods to deliver one, several, or all biotics defined so far will depend on the microbiological and chemical level of characterization, the reproducibility of the technological process used to produce the fermented foods, the evidence for health benefits conferred by the biotics, as well as the type and amount of testing carried out to show the probiotic, prebiotic, synbiotic, and postbiotic capacity of that fermented food.
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Xanthophyll carotenoids (i.e., lutein and zeaxanthin) are plant pigments that selectively deposit in the macula of the eye and provide retinal tissue with protection against photooxidative stress. Although having greater xanthophylls in various tissues is related to lower inflammation in adulthood and infancy, this relationship is underinvestigated in childhood. Thus, this study aimed to elucidate the relationships between macular xanthophyll status and inflammation in school-aged children. We hypothesized that greater macular pigment would be associated with lower systemic concentrations of C-reactive protein (CRP). Forty children (aged 7-12 years) from the East-Central Illinois area were recruited. Data were collected in a convenience sample over multiple visits to the laboratory that occurred over 1 month, including all individuals who provided adequate blood samples for analyses. Macular pigment optical density (MPOD) was assessed using customized heterochromatic flicker photometry. Dietary lutein and zeaxanthin were determined using 7-day diet records. Capillary dried blood spot samples were analyzed for CRP concentrations via enzyme-linked immunosorbent assay. Whole-body percentage fat (%Fat) was measured using dual-energy x-ray absorptiometry. Two-step hierarchical linear regression modelling was used to assess relationships between MPOD and CRP, following adjustment of pertinent covariates and the removal of outliers (N = 3). MPOD was negatively associated with CRP concentrations, after controlling for a priori covariates of age, sex, %Fat, and dietary lutein and zeaxanthin (ß = -0.58, ΔR2 = 0.22, P = .004). Age, sex, dietary lutein and zeaxanthin, and %Fat did not significantly contribute to the model. This study provides novel evidence that macular pigment and peripheral inflammation are inversely related in childhood.
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Luteína , Pigmento Macular , Humanos , Niño , Pigmento Macular/análisis , Zeaxantinas , Proteína C-Reactiva/análisis , InflamaciónRESUMEN
Due to highly personalized biological and lifestyle characteristics, different individuals may have different metabolic responses to specific foods and nutrients. In particular, the gut microbiota, a collection of trillions of microorganisms living in our gastrointestinal tract, is highly personalized and plays a key role in our metabolic responses to foods and nutrients. Accurately predicting metabolic responses to dietary interventions based on individuals' gut microbial compositions holds great promise for precision nutrition. Existing prediction methods are typically limited to traditional machine learning models. Deep learning methods dedicated to such tasks are still lacking. Here we develop a new method McMLP (Metabolic response predictor using coupled Multilayer Perceptrons) to fill in this gap. We provide clear evidence that McMLP outperforms existing methods on both synthetic data generated by the microbial consumer-resource model and real data obtained from six dietary intervention studies. Furthermore, we perform sensitivity analysis of McMLP to infer the tripartite food-microbe-metabolite interactions, which are then validated using the ground-truth (or literature evidence) for synthetic (or real) data, respectively. The presented tool has the potential to inform the design of microbiota-based personalized dietary strategies to achieve precision nutrition.
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Consuming adequate dietary fiber is a promising strategy for reducing systemic inflammation. The objective was to evaluate relationships between dietary fiber intake, markers of metabolic endotoxemia, and systemic inflammation in adults. This was a cross-sectional study of 129 healthy participants (age 33.6 ± 6.1 yr, BMI 30.5 ± 6.9 kg/m2). Dietary fiber intake was assessed by food frequency questionnaire. Adiposity was measured using dual-energy X-ray absorptiometry (DXA). Fecal short-chain fatty acids (SCFA) were quantified using gas chromatography-mass spectrometry. Fecal microbiota sequence data (V4 region, 16S rRNA gene) were analyzed using DADA2 and QIIME2. Inflammatory cytokines were assessed with enzyme-linked immunosorbent assays; flow cytometry was conducted for monocyte surface marker quantification. Bivariate correlations and generalized step-wise linear modeling were used for statistical analyses. Plasma C-reactive protein (CRP) and interleukin (IL)-6 concentrations were positively related to whole body (CRP r = 0.45, P = <0.0001; IL-6 r = 0.34, P = 0.0002) and visceral adiposity (CRP r = 0.33, P = 0.0003; IL-6 r = 0.38, P = 0.0002). Plasma lipopolysaccharide-binding protein (LBP) concentrations were inversely related to dietary fiber intake (r = -0.22, P = 0.03) and fecal SCFA (acetate r = -0.25, P = 0.01; propionate r = -0.28, P = 0.003; butyrate r = -0.23, P = 0.02). Whole body adiposity, dietary fiber, and fecal SCFA were the most predictive of plasma LBS-BP concentrations. Novel findings included associations between dietary fiber intake, the gastrointestinal microbiota, and systemic inflammation.NEW & NOTEWORTHY Dietary fiber intake may reduce the inflammation associated with obesity and metabolic disease. Our cross-sectional analysis revealed that dietary fiber intake and fecal short-chain fatty acids are inversely associated with lipopolysaccharide-binding protein, a marker of systemic inflammation. In addition, plasma interleukin-6 and C-reactive protein were positively related to markers of adiposity.
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Proteína C-Reactiva , Interleucina-6 , Adulto , Humanos , Estudios Transversales , Proteína C-Reactiva/análisis , Interleucina-6/análisis , ARN Ribosómico 16S/genética , Ácidos Grasos Volátiles/metabolismo , Obesidad/metabolismo , Heces/química , Fibras de la Dieta , InflamaciónRESUMEN
BACKGROUND: The Dietary Guidelines for Americans advises on dietary intake to meet nutritional needs, promote health, and prevent diseases. Diet affects the intestinal microbiota and is increasingly linked to health. It is vital to investigate the relationships between diet quality and the microbiota to better understand the impact of nutrition on human health. OBJECTIVES: This study aimed to investigate the differences in fecal microbiota composition in adults from the American Gut Project based on their adherence to the Dietary Guidelines for Americans. METHODS: This study was a cross-sectional analysis of the 16S sequencing and food frequency data of a subset of adults (n = 432; age = 18-60 y; 65% female, 89% white) participating in the crowdsourced American Gut Project. The Healthy Eating Index-2015 assessed the compliance with Dietary Guideline recommendations. The cohort was divided into tertiles based on Healthy Eating Index-2015 scores, and differences in taxonomic abundances and diversity were compared between high and low scorers. RESULTS: The mean Total Score for low-scoring adults (58.1 ± 5.4) was comparable with the reported score of the average American adult (56.7). High scorers for the Total Score and components related to vegetables, grains, and dairy had greater alpha diversity than low scorers. High scorers in the fatty acid component had a lower alpha diversity than low scorers (95% CI: 0.35, 1.85). A positive log-fold difference in abundance of plant carbohydrate-metabolizing taxa in the families Lachnospiraceae and Ruminococcaceae was observed in high-scoring tertiles for Total Score, vegetable, fruit, and grain components (Benjamini-Hochberg; q < 0.05). CONCLUSIONS: Adults with greater compliance to the Dietary Guidelines demonstrated higher diversity in their fecal microbiota and greater abundance of bacteria capable of metabolizing complex carbohydrates, providing evidence on how Dietary Guidelines support the gut microbiota.
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Promoción de la Salud , Microbiota , Humanos , Adulto , Estados Unidos , Adolescente , Adulto Joven , Persona de Mediana Edad , Estudios Transversales , Dieta , Verduras , ARN Ribosómico 16SRESUMEN
PURPOSE: We aimed to assess whether total daily physical activity (PA), PA intensities, sedentary time (ST), and prolonged ST are associated with differences in the gut microbiota composition or short-chain fatty acid (SCFA) profile of adults with overweight or obesity. METHODS: Cross-sectional associations between total daily PA (counts per minute), PA intensities (light and moderate-to-vigorous (MVPA)), ST, prolonged ST, and fecal microbiota composition were assessed in adults ( n = 124) between 25 and 45 yr of age with body mass index ≥25 kg·m -2 . Fecal microbiota composition was assessed with 16S rRNA gene sequencing. Daily PA and ST were measured with a hip-worn ActiGraph wGT3X-BT accelerometer. RESULTS: Daily PA volume and intensity were positively associated with relative abundance of Faecalibacterium ( P = 0.04) and negatively associated with the abundances of Alistipes , Parabacteroides , and Gemmiger ( P = 0.003-0.04) as well as the concentrations of acetate, butyrate, and total SCFA (all P = 0.04). Conversely, ST was negatively associated with abundance of Faecalibacterium but positively associated with the abundances of taxa, including Ruminococcaceae, Parabacteroides , Alistipes , and Gemmiger . Clustering of participants based on whether they met PA recommendations suggested that SCFA profiles differed between individuals who did and did not meet PA recommendations. K-means clustering based on percent of time spent in MVPA and ST also identified differences in fecal microbiota composition between cluster 1 (lower MVPA, higher ST) and cluster 2 (higher MVPA, lower ST), including a higher abundance of Alistipes in cluster 1. CONCLUSIONS: The current analysis suggests a beneficial association of daily PA on the fecal microbiota and a negative association of ST, particularly with respect to the associations of these variables with the genera Faecalibacterium , a butyrate-producing taxon.
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Microbioma Gastrointestinal , Sobrepeso , Humanos , Adulto , Estudios Transversales , ARN Ribosómico 16S , Ejercicio Físico , Obesidad , Ácidos Grasos Volátiles , Butiratos , AcelerometríaRESUMEN
BACKGROUND: Chronic stress contributes to systemic inflammation and diminished mental health. Although animal work suggests strong links with the microbiota-gut-brain axis, clinical trials investigating the effectiveness of prebiotics in improving mental health and reducing inflammation are lacking. OBJECTIVES: We aimed to determine fructooligosaccharide (FOS) and galactooligosaccharide (GOS) effects on biological markers of stress and inflammation and mental health symptoms in adults. Secondary outcomes included fecal microbiota and metabolites, digestive function, emotion, and sleep. METHODS: Twenty-four healthy adults (25-45 y; 14 females, 10 males; BMI, 29.3 ± 1.8 kg/m2) from central Illinois participated in a 2-period, randomized, controlled, single-blinded crossover trial. Interventions included the prebiotic (PRE) treatment (237 mL/d Lactaid low-fat 1% milk, 5 g/d FOS, 5 g/d GOS) and control (CON) (237 mL/d Lactaid), which were consumed in counterbalanced order for 4 wk each, separated by ≥4-wk washout. Inflammatory markers were measured in blood plasma (>10-h fast) and cortisol in urine. The Depression Anxiety Stress Scales-42 assessed mental health symptoms. Fecal samples were collected for 16S rRNA gene (V4 region) sequencing and analysis. Emotion was measured by rating images from a computer task. Sleep was assessed using 7-d records and accelerometers. Change scores were analyzed using linear mixed models with treatment and baseline covariate as fixed effects and participant ID as the random effect. RESULTS: There were no differences in change scores between PRE and CON treatments on biological markers of stress and inflammation or mental health. PRE increased change in percent sequences (q = 0.01) of Actinobacteriota (CON: 0.46 ± 0.70%; PRE: 5.40 ± 1.67%) and Bifidobacterium (CON: -1.72 ± 0.43%; PRE: 4.92 ± 1.53%). There were also no differences in change scores between treatments for microbial metabolites, digestive function, emotion, or sleep quality. CONCLUSIONS: FOS+GOS did not affect biological markers of stress and inflammation or mental health symptoms in healthy adults; however, it increased Bifidobacterium. CLINICAL TRIAL REGISTRY: NCT04551937, www. CLINICALTRIALS: gov.
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Microbioma Gastrointestinal , Microbiota , Masculino , Femenino , Animales , Humanos , Prebióticos , Salud Mental , Estudios Cruzados , ARN Ribosómico 16S/genética , Microbioma Gastrointestinal/genética , Inflamación , Bifidobacterium/genética , Biomarcadores/metabolismo , Heces/microbiologíaRESUMEN
BACKGROUND: The fecal metabolome is affected by diet and includes metabolites generated by human and microbial metabolism. Advances in -omics technologies and analytic approaches have allowed researchers to identify metabolites and better utilize large data sets to generate usable information. One promising aspect of these advancements is the ability to determine objective biomarkers of food intake. OBJECTIVES: We aimed to utilize a multivariate, machine learning approach to identify metabolite biomarkers that accurately predict food intake. METHODS: Data were aggregated from 5 controlled feeding studies in adults that tested the impact of specific foods (almonds, avocados, broccoli, walnuts, barley, and oats) on the gastrointestinal microbiota. Fecal samples underwent GC-MS metabolomic analysis; 344 metabolites were detected in preintervention samples, whereas 307 metabolites were detected postintervention. After removing metabolites that were only detected in either pre- or postintervention and those undetectable in ≥80% of samples in all study groups, changes in 96 metabolites relative concentrations (treatment postintervention minus preintervention) were utilized in random forest models to 1) examine the relation between food consumption and fecal metabolome changes and 2) rank the fecal metabolites by their predictive power (i.e., feature importance score). RESULTS: Using the change in relative concentration of 96 fecal metabolites, 6 single-food random forest models for almond, avocado, broccoli, walnuts, whole-grain barley, and whole-grain oats revealed prediction accuracies between 47% and 89%. When comparing foods with one another, almond intake was differentiated from walnut intake with 91% classification accuracy. CONCLUSIONS: Our findings reveal promise in utilizing fecal metabolites as objective complements to certain self-reported food intake estimates. Future research on other foods at different doses and dietary patterns is needed to identify biomarkers that can be applied in feeding study compliance and clinical settings.
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Dieta , Juglans , Humanos , Adulto , Metabolómica/métodos , Metaboloma , Grano Comestible , Biomarcadores , Ingestión de AlimentosRESUMEN
BACKGROUND: Most previous work has focused on a single-nutrient, bottom-up approach when examining the influence of diet on neurocognition. Thus, the impact of dietary patterns on cognitive health is underinvestigated. OBJECTIVES: We aimed to investigate the relation between different diet indices [i.e., Mediterranean, Dietary Approaches to Stop Hypertension (DASH), Healthy Eating Index-2015 (HEI-2015), and Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND)] and attentional inhibition and neuroelectric function. METHODS: We undertook a cross-sectional analysis of adults aged 34.1 ± 6.0 y (n = 207, 116 females) with a BMI of 18.5 to >40 kg/m2 who completed the Dietary History Questionnaire II (DHQII) FFQ (Past Month and Year with Serving Sizes) to assess adherence to different diet quality indices. Attentional inhibition was assessed using a modified Eriksen flanker task during which event-related potentials (ERPs) were recorded. The amplitude and latency of the P3/P300 ERP were used to index attentional resource allocation and information processing speed, respectively. RESULTS: P3 peak latency was inversely associated with greater adherence to the MIND dietary pattern during incongruent flanker trials (∆R2 = 0.02, ß = -0.14, P = 0.043) but not during congruent trials. Adherence to the Mediterranean, DASH, and HEI-2015 patterns was not associated with P3 latency (P > 0.05). No associations were observed between the diet indices and attentional inhibition at the behavioral level (i.e., accuracy or reaction time) or P3 amplitude (all P values >0.05). CONCLUSIONS: Greater adherence to the MIND diet was selectively associated with faster information processing speed in middle-aged adults with healthy to obese BMI. Further, the influence of the MIND diet for faster information processing speed might be particularly beneficial when cognitive control demands are increased. Future intervention trials testing the effects of consuming a MIND diet on cognitive function are warranted to help inform dietary recommendations for healthy cognitive aging.