scholarly journals Serum Metabolites Associated with Healthy Dietary Patterns in Middle-Aged US Adults

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 535-535
Author(s):  
Hyunju Kim ◽  
Emily Hu ◽  
Bing Yu ◽  
Lyn Steffen ◽  
Sara Seidelmann ◽  
...  

Abstract Objectives Healthy dietary patterns are recommended for health promotion. Metabolomics can be used to identify objective biomarkers of healthy dietary patterns, which has the potential to improve dietary assessment. We used metabolomics to identify serum metabolites associated with healthy dietary patterns and the components within these dietary patterns in middle-aged US adults. Methods We evaluated known metabolites associated with 4 dietary patterns [Healthy Eating Index (HEI)-2015, Alternative Healthy Eating Index (AHEI)-2010, the Dietary Approaches to Stop Hypertension (DASH) diet, Mediterranean diet (aMED)] and their components using untargeted metabolomics in two subsamples (N1 = 1864; N2 = 2091) of the Atherosclerosis Risk in Communities Study. Dietary intakes were assessed using a food frequency questionnaire. We used multivariable linear regression models to examine associations between dietary patterns and individual serum metabolites in each sample, adjusting for sociodemographic factors, health behaviors, and clinical factors. Results 21 out of 373 metabolites (HEI = 10; AHEI = 9; DASH = 15; aMED = 2) in sample 1 and 57 out of 758 metabolites (HEI = 32; AHEI = 22; DASH = 44; aMED = 22) in sample 2 were significantly associated with healthy dietary patterns after Bonferroni correction. More than half of the significant metabolites (n1 = 10; n2 = 35) were associated with more than one dietary pattern. The DASH diet had the highest number of unique metabolites (n1 = 7; n2 = 17), a majority of which were amino acids. Other diets had similar number of unique metabolites (range: 0–3), which were mostly lipids. Some of the unique metabolites were positively associated with components of every diet. For example, N-methylproline was associated with fruit and dairy intake in the DASH diet; docosahexaenoate (22:6n3) was associated with omega-3 fatty acid intake in AHEI, and 1-docosahexaenoylglycerophosphoethanolamine was associated with plant protein and saturated fat intake in HEI. Conclusions An untargeted metabolomics approach identified many metabolites associated with healthy dietary patterns. A considerable overlap of metabolites associated with HEI, AHEI, DASH, and aMED reflects the similar food components within healthy diets. Funding Sources NIDDK, NHLBI.

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Hyunju Kim ◽  
Cheryl A Anderson ◽  
Emily A Hu ◽  
Zihe Zheng ◽  
Lawrence J Appel ◽  
...  

Introduction: In individuals with chronic kidney disease (CKD), healthy dietary patterns are inversely associated with CKD progression. Metabolomics, an approach which measures many small molecules in biofluids, can identify biomarkers of healthy dietary patterns and elucidate metabolic pathways underlying diet-disease associations. Hypothesis: We hypothesized that adherence to 4 healthy dietary patterns would be associated with a set of known metabolites in CKD patients. Methods: We examined associations between 634 plasma metabolites assessed using the Broad platform at year 1 and Healthy Eating Index (HEI)-2015, Alternative Healthy Eating Index (AHEI)-2010, the Dietary Approaches to Stop Hypertension (DASH) diet, and alternate Mediterranean diet (aMED), and their food components in 1,117 participants in the CRIC Study. Usual dietary intakes were assessed using a food frequency questionnaire at baseline and year 2. We conducted multivariable linear regression models to study associations between diet scores and individual plasma metabolites, adjusting for sociodemographic characteristics, health behaviors, and clinical factors. Results: After Bonferroni correction, we identified a total of 362 diet-metabolite associations (HEI=78; AHEI=127; DASH=97; aMED=60), and 101 metabolites were associated with more than 1 dietary pattern. The most common metabolite categories were triacylglycerols and diacylglycerols. Most lipids were negatively associated with healthy dietary patterns, except for cholesterols esters and triacylglycerols with ≥7 double bonds. Triacylglycerols with high number of double bonds were positively associated with healthy fat intake (e.g., higher monounsaturated and polyunsaturated fatty acid, omega-3 fatty acid, fish) within HEI, AHEI, and aMED ( Table ). Conclusions: We identified many metabolites associated with healthy dietary patterns, indicative of food consumption. If replicated, they may be considered biomarkers of healthy dietary patterns in CKD patients.


2020 ◽  
Vol 151 (1) ◽  
pp. 40-49 ◽  
Author(s):  
Hyunju Kim ◽  
Emily A Hu ◽  
Kari E Wong ◽  
Bing Yu ◽  
Lyn M Steffen ◽  
...  

ABSTRACT Background High diet quality is associated with a lower risk of chronic diseases. Metabolomics can be used to identify objective biomarkers of diet quality. Objectives We used metabolomics to identify serum metabolites associated with 4 diet indices and the components within these indices in 2 samples from African Americans and European Americans. Methods We studied cross-sectional associations between known metabolites and Healthy Eating Index (HEI)-2015, Alternative Healthy Eating Index (AHEI)-2010, the Dietary Approaches to Stop Hypertension Trial (DASH) diet, alternate Mediterranean diet (aMED), and their components using untargeted metabolomics in 2 samples (n1 = 1,806, n2 = 2,056) of the Atherosclerosis Risk in Communities study (aged 45–64 y at baseline). Dietary intakes were assessed using an FFQ. We used multivariable linear regression models to examine associations between diet indices and serum metabolites in each sample, adjusting for participant characteristics. Metabolites significantly associated with diet indices were meta-analyzed across 2 samples. C-statistics were calculated to examine if these candidate biomarkers improved prediction of individuals in the highest compared with lowest quintile of diet scores beyond participant characteristics. Results Seventeen unique metabolites (HEI: n = 6; AHEI: n = 5; DASH: n = 14; aMED: n = 2) were significantly associated with higher diet scores after Bonferroni correction in sample 1 and sample 2. Six of 17 significant metabolites [glycerate, N-methylproline, stachydrine, threonate, pyridoxate, 3-(4-hydroxyphenyl)lactate)] were associated with ≥1 dietary pattern. Candidate biomarkers of HEI, AHEI, and DASH distinguished individuals with highest compared with lowest quintile of diet scores beyond participant characteristics in samples 1 and 2 (P value for difference in C-statistics <0.02 for all 3 diet indices). Candidate biomarkers of aMED did not improve C-statistics beyond participant characteristics (P value = 0.930). Conclusions A considerable overlap of metabolites associated with HEI, AHEI, DASH, and aMED reflects the similar food components and similar metabolic pathways involved in the metabolism of healthy diets in African Americans and European Americans.


Author(s):  
Hossein Shahinfar ◽  
Farhang Djafari ◽  
Nadia Babaei ◽  
Samira Davarzani ◽  
Mojdeh Ebaditabar ◽  
...  

Abstract. Background: The association between dietary patterns and cardiorespiratory fitness (CRF) is not well established. Objective: We sought to investigate association between a posteriori dietary pattern and CRF in middle-aged adults. Design: Adults (n = 276), aged 20–74 years, who were residents of Tehran, Iran were recruited. Diet was assessed by using a validated 168-item semi-quantitative food frequency questionnaire. Principal component analysis was used to derive dietary patterns. Socio-economic status, anthropometric measures, body composition, and blood pressure were recorded. CRF was assessed by using a graded exercise treadmill test. Analysis of variance and linear regression models were used to discern the association between dietary patterns and CRF. Results: Higher scores of the healthy dietary pattern had no association with VO2max (p = 0.13 ). After controlling for potential confounders, VO2max was positively associated across tertiles of healthy dietary patterns (p < 0.001). Higher adherence to the “mixed” dietary pattern was inversely related to VO2max (p < 0.01). After adjusting for confounders, the significant association disappeared (p = 0.14). Higher scores of the “Western” dietary pattern was not associated with VO2max (p = 0.06). However, after controlling for potential confounders, VO2max was positively associated with the “Western” dietary pattern (p = 0.01). A positive linear association between the “healthy” dietary pattern and CRF for the total sample (R2 = 0.02; p < 0.01) were presented. Conclusions: Overall, our findings suggest that higher adherence to a “healthy” and “Western” dietary pattern was positively associated with CRF. However, further studies are required to examine and clarify the causal relationship between dietary patterns and CRF.


Nutrients ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 252
Author(s):  
Mireia Falguera ◽  
Esmeralda Castelblanco ◽  
Marina Idalia Rojo-López ◽  
Maria Belén Vilanova ◽  
Jordi Real ◽  
...  

We aimed to assess differences in dietary patterns (i.e., Mediterranean diet and healthy eating indexes) between participants with prediabetes and those with normal glucose tolerance. Secondarily, we analyzed factors related to prediabetes and dietary patterns. This was a cross-sectional study design. From a sample of 594 participants recruited in the Mollerussa study cohort, a total of 535 participants (216 with prediabetes and 319 with normal glucose tolerance) were included. The alternate Mediterranean Diet score (aMED) and the alternate Healthy Eating Index (aHEI) were calculated. Bivariable and multivariable analyses were performed. There was no difference in the mean aMED and aHEI scores between groups (3.2 (1.8) in the normoglycemic group and 3.4 (1.8) in the prediabetes group, p = 0.164 for the aMED and 38.6 (7.3) in the normoglycemic group and 38.7 (6.7) in the prediabetes group, p = 0.877 for the aHEI, respectively). Nevertheless, women had a higher mean of aMED and aHEI scores in the prediabetes group (3.7 (1.9), p = 0.001 and 40.5 (6.9), p < 0.001, respectively); moreover, they had a higher mean of aHEI in the group with normoglycemia (39.8 (6.6); p = 0.001). No differences were observed in daily food intake between both study groups; consistent with this finding, we did not find major differences in nutrient intake between groups. In the multivariable analyses, the aMED and aHEI were not associated with prediabetes (odds ratio (OR): 1.19, 95% confidence interval (CI): 0.75–1.87; p = 0.460 and OR: 1.32, 95% CI: 0.83–2.10; p = 0.246, respectively); however, age (OR: 1.04, 95% CI: 1.02–1.05; p < 0.001), dyslipidemia (OR: 2.02, 95% CI: 1.27–3.22; p = 0.003) and body mass index (BMI) (OR: 1.09, 95% CI: 1.05–1.14; p < 0.001) were positively associated with prediabetes. Physical activity was associated with a lower frequency of prediabetes (OR: 0.48, 95% CI: 0.31–0.72; p = 0.001). In conclusion, subjects with prediabetes did not show a different dietary pattern compared with a normal glucose tolerance group. However, further research is needed on this issue.


Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1803
Author(s):  
Sharmin Hossain ◽  
May A. Beydoun ◽  
Michele K. Evans ◽  
Alan B. Zonderman ◽  
Marie F. Kuczmarski

Objective: We investigated cross-sectional and longitudinal associations of diet quality with middle-aged caregiver status. Methods: Caregiving in the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study (57.7% women, 62% African American (AA)) was measured at waves 3 (2009–2013) and 4 (2013–2017) (mean follow-up time 4.1 years). Diet quality was assessed by the Healthy Eating Index 2010 (HEI-2010) derived from two separate 24 h diet recalls. Multivariable ordinary least square regression was performed for cross-sectional analyses of the association of wave 4 caregiving with wave 4 HEI-2010. Wave 3 caregiving was examined both cross-sectionally and with annual rate of change in HEI using mixed-effects linear regression Models. Multivariable models were adjusted for age, sex, and poverty status. Results: Cross-sectional analyses at wave 4 demonstrate an inverse association of frequent caregiving (“Daily or Weekly” vs. “Never”) for grandchildren with HEI-2010 total score (i.e., lower diet quality) among Whites (β = −2.83 ± 1.19, p = 0.03, Model 2) and AAs (β = −1.84 ± 0.79, p = 0.02,). The “cross-sectional” analysis pertaining to grandchildren caregiving frequency suggested that frequent caregiving (i.e., “Daily or Weekly” vs. “Never” (β = −2.90 ± 1.17, p = 0.04)) only among Whites was inversely related to HEI-2010 total score. Total HEI-2010 score was also related to caring (Model 1), for the elderly over “5 years vs. Never” among Whites (−7.31 ± 3.54, p = 0.04, Model 2). Longitudinally, we found slight potential improvement in diet quality over time (“Daily or Weekly” vs. Never by TIME interaction: +0.88 ± 0.38, p = 0.02) with frequent caregiving among Whites, but not so among AAs. Conclusions: Frequent caring for grandchildren had an inverse relationship with the diet quality of White and AA urban middle-aged caregivers, while caring for elderly was inversely linked to diet quality among Whites only. Longitudinal studies should address the paucity of research on caregivers’ nutritional quality.


2021 ◽  
Vol 10 (5) ◽  
pp. 988
Author(s):  
Nathaniel R. Johnson ◽  
Christopher J. Kotarsky ◽  
Kyle J. Hackney ◽  
Kara A. Trautman ◽  
Nathan D. Dicks ◽  
...  

Ultrasonography advantageously measures skeletal muscle size and quality, but some muscles may be too large to capture with standardized brightness mode (B-mode) imaging. Panoramic ultrasonography can capture more complete images and may more accurately measure muscle size. We investigated measurements made using panoramic compared to B-mode ultrasonography images of the rectus femoris with muscular performance. Concurrently, protein intake plays an important role in preventing sarcopenia; therefore, we also sought to investigate the association between animal-based protein intake (ABPI) and muscular performance. Ninety-one middle-aged adults were recruited. Muscle cross-sectional area (CSA) and thickness were obtained using B-mode and panoramic ultrasound and analyzed with Image J software. Muscular performance was assessed using isokinetic dynamometry, a 30-s chair test, and handgrip strength. Three-day food diaries estimated dietary intakes. Linear regression models determined relationships between measures from ultrasonography and muscular performance. Mixed linear models were used to evaluate the association between ABPI and muscular performance. Muscle CSA from panoramic ultrasonography and ABPI were positively associated with lower-body strength (β ± S.E.; CSA, 42.622 ± 20.024, p = 0.005; ABPI, 65.874 ± 19.855, p = 0.001), lower-body endurance (β ± S.E.; CSA, 595 ± 200.221, p = 0.001; ABPI, 549.944 ± 232.478, p = 0.020), and handgrip strength (β ± S.E.; CSA, 6.966 ± 3.328, p = 0.004; ABPI, 0.349 ± 0.171, p = 0.045). Panoramic ultrasound shows promise as a method for assessing sarcopenia. ABPI is related to better muscular performance.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Cuilin Zhang ◽  
Jing Wu ◽  
Marion Ouidir ◽  
Stefanie Hinkle ◽  
Fasil Ayele

Background: Accumulating evidence support the intergenerational impacts of diet in pregnancy. The underlying mechanisms, however, remain unclear. Placental epigenetic mechanisms may be involved although data from human epidemiological studies are sparse. We aimed to investigate associations of dietary quality in pregnancy with epigenome-wide placental DNA methylation in a multiracial pregnancy cohort. Methods: DNA methylation was measured using the Illumina Infinium Human Methylation450 Beadchip on placentas obtained at delivery from 301 pregnant women who participated in the Eunice Kennedy Shriver National Institute of Child Health and Human Development Fetal Growth Studies-Singleton cohort. Dietary information during periconception and early first trimester was collected using food frequency questionnaires, and diet in the second and third trimester was collected using a 24-hour dietary recall during four study visits. Scores for adherence to three healthy dietary patterns, alternate Healthy Eating Index (aHEI), alternate Mediterranean Diet (aMED), and Dietary Approaches to Stop Hypertension (DASH), were calculated. For associations of each dietary pattern score with methylation, we conducted analyses using robust linear regression models after the adjustment for age, pre-pregnancy body mass index, race/ethnicity, physical activity, total energy intakes, and population stratification. Genes annotating the top significant CpG sites (false discovery rate (FDR) adjusted P<0.05) were queried for enrichment of functional pathways using the Ingenuity Pathway Analysis tool. Results: Adherence to aHEI was significantly associated with methylation of 8 CpG sites, with the most significant association manifested in cg16724319- MDH1B (P=1.9x10 -10 ). Adherence to aMED was related to methylation of 14 CpG sites, with the most significant association manifested in cg07835181- CLCN7 (P=1.7x10 -11 ). DASH was significantly related to 33 CpG sites, with the most significant association manifested in cg26292547- REV3L (P=4.4x10 -10 ). Further, genes annotating the significant CpG sites were enriched in pathways related to cardiovascular and nervous system development and function, cancer, organismal injury and abnormalities, and reproductive system diseases. Conclusion: Findings from the epigenome wide study suggest that overall dietary quality in pregnancy is associated with placental DNA methylation changes at different loci potentially related to cardiovascular, neurological, reproductive, and cancer phenotypes.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Chauntelle Jack-Roberts ◽  
Patricia Maples ◽  
Anjana Saxena ◽  
Mudar Dalloul ◽  
John Kral ◽  
...  

Abstract Objectives Maternal psychosocial stress during pregnancy can lead to heightened activity of the hypothalamus-pituitary-adrenal (HPA) axis, increasing the risk of pre-term birth, intrauterine restriction, and preeclampsia. Maternal dietary intakes and nutrition status modify epigenetic marks in the placental and fetal HPA axis, which may then counter the negative influence of maternal stress. This study aims to determine the correlation of maternal psychosocial stress and nutrient intakes with biomarkers of HPA axis activity in human pregnancies. Methods Pregnant women (n = 60) were recruited to this observational study. Psychosocial stress survey, dietary recalls and blood samples were obtained in the 3rd trimester. Placentas and cord blood were retrieved at delivery. Results Maternal financial stress, neighborhood stress, and anxiety were positively or tended to be positively associated with maternal blood cortisol levels (P = 0.01-0.08), although none of the psychosocial stress measurements were correlated with placental corticotropin-releasing hormone (CRH), glucocorticoid receptor (NR3C1), or 11β-hydroxysteroid dehydrogenase (11BHSD) expression. Placental NR3C1 expression was positively associated with birth weight (r = 0.42, P = 0.02) while placental CRH was negatively associated with gestational length (r = –0.45, P = 0.01). Overall dietary quality as measured by the Healthy Eating Index (HEI) was not associated with psychosocial stress or related biomarkers, while intakes of the methyl donor choline (r = 0.46, P = 0.04) and omega-3 fatty acids (r = 0.47, P = 0.03) were positively associated with placental NR3C1 expression. Placental choline content was also positively associated with NR3C1 expression (r = 0.39, P = 0.04) and negatively associated with maternal neighborhood stress (r = –0.72, P = 0.02). Conclusions In summary, these data suggest that maternal psychosocial stress may adversely affect HPA axis functioning during pregnancy, whereas choline and other nutrients have the potential to counteract some of the impacts of psychosocial stress. Funding Sources CUNY Interdisciplinary Research Grant.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 534-534
Author(s):  
Owen Kelly ◽  
Stephanie Fanelli ◽  
Sara Thomas ◽  
Jessica Krok-Schoen ◽  
Satya Jonnalagadda ◽  
...  

Abstract Objectives Distribution of carbohydrate intakes (carb choices) throughout the day are an important aspect to diabetes management and reducing blood glucose spikes. Skipping breakfast represents a behavior of concern, providing an extension of the overnight fast and may result in elevated sugar levels later in the day. Therefore, the purpose of this study was to evaluate dietary intake differences, including carbohydrates, based on consuming breakfast or not, and by diabetes status. Methods Adults over 30 years from NHANES 2005–2016 were classified into nondiabetes (HbA1c &lt;5.7%, n = 14,701), prediabetes (HbA1c 5.7–6.4%, n = 5855) and diabetes (HbA1c (≥6.5%, n = 2881). Dietary intakes were assessed using a multiple pass 24-hour recall to estimate intakes from the foods and beverages reported as consumed on the day prior to the NHANES visit. Breakfast was self-defined by participants. Total population-based means (95% CI) of nutrient intakes, MyPlate equivalents, and Healthy Eating Index 2015 scores from the day of intake were calculated across levels of glycemic control and skipping breakfast status. Results Across all groups, adults who reported breakfast consumption had a significantly better overall diet quality, while total intakes of whole grains and fiber were significantly lower in those who skipped breakfast. Intakes of added sugars were not significantly different between those who skipped versus consumed breakfast. Conclusions The absence of breakfast on the day of intake was related to differential intakes of several nutrients related to healthy eating and glycemic management, resulting in a poorer overall diet quality. Healthcare professionals could evaluate meal skipping patterns and its impact on overall nutrient intakes, and the distribution of food intake throughout the day, in people with diabetes, to help improve disease management. Funding Sources Abbott Nutrition.


Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 3030 ◽  
Author(s):  
Elise Carbonneau ◽  
Benoît Lamarche ◽  
Julie Robitaille ◽  
Véronique Provencher ◽  
Sophie Desroches ◽  
...  

The objectives were to assess whether social support for healthy eating and perceived food environment are associated with diet quality, and to investigate if sociodemographic characteristics moderate these associations. A probability sample of French-speaking adults from the Province of Québec, Canada, was recruited in the context of the PREDISE study. Participants reported their perceptions of supportive and non-supportive actions related to healthy eating from close others at home and outside of home (n = 952), and of the accessibility to healthy foods (n = 1035). The Canadian Healthy Eating Index (C-HEI) was calculated based on three Web-based 24 h food recalls. Multiple linear regression models showed that supportive (B = 1.50 (95% CI 0.46, 2.54)) and non-supportive (B = −3.06 (95% CI −4.94, −1.18)) actions related to healthy eating from close others at home were positively and negatively associated with C-HEI, respectively, whereas actions from close others outside of home were not. The negative association between non-supportive actions occurring at home and C-HEI was stronger among participants with lower (vs. higher) levels of education (p interaction = 0.03). Perceived accessibility to healthy foods was not associated with C-HEI (p > 0.05). These results suggest that the social environment may have a stronger influence on healthy eating than the perceived physical environment. This adds support for healthy eating promotion programs involving entire families, especially for more socioeconomically disadvantaged individuals, whose efforts to eat healthily may be more easily thwarted by non-supportive households.


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