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Background and Aims: To investigate associations between avocado intake and glycemia in adults with Hispanic/Latino ancestry., Methods and Results: The associations of avocado intake with measures of insulin and glucose homeostasis were evaluated in a cross-sectional analysis of up to 14,591 Hispanic/Latino adults, using measures of: average glucose levels (hemoglobin A1c; HbA1c), fasting glucose and insulin, glucose and insulin levels after an oral glucose tolerance test (OGTT), and calculated measures of insulin resistance (HOMA-IR, and HOMA-%β), and insulinogenic index. Associations were assessed using multivariable linear regression models, which controlled for sociodemographic factors and health behaviors, and which were stratified by dysglycemia status. In those with normoglycemia, avocado intake was associated with a higher insulinogenic index (β = 0.17 ± 0.07, P = 0.02). In those with T2D (treated and untreated), avocado intake was associated with lower hemoglobin A1c (HbA1c; β = -0.36 ± 0.21, P = 0.02), and lower fasting glucose (β = -0.27 ± 0.12, P = 0.02). In the those with untreated T2D, avocado intake was additionally associated with HOMA-%β (β = 0.39 ± 0.19, P = 0.04), higher insulin values 2-h after an oral glucose load (β = 0.62 ± 0.23, P = 0.01), and a higher insulinogenic index (β = 0.42 ± 0.18, P = 0.02). No associations were observed in participants with prediabetes., Conclusions: We observed an association of avocado intake with better glucose/insulin homeostasis, especially in those with T2D., Competing Interests: Declaration of competing interest Dr. Wood has received funding from the National Cattleman's Beef Association and Ionis Pharmaceutical for studies unrelated to the current analyses., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background: Whether red meat consumption is associated with higher inflammation or confounded by increased adiposity remains unclear. Plasma metabolites capture the effects of diet after food is processed, digested, and absorbed, and correlate with markers of inflammation, so they can help clarify diet-health relationships., Objective: To identify whether any metabolites associated with red meat intake are also associated with inflammation., Methods: A cross-sectional analysis of observational data from older adults (52.84% women, mean age 63 ± 0.3 y) participating in the Multi-Ethnic Study of Atherosclerosis (MESA). Dietary intake was assessed by food-frequency questionnaire, alongside C-reactive protein (CRP), interleukin-2, interleukin-6, fibrinogen, homocysteine, and tumor necrosis factor alpha, and untargeted proton nuclear magnetic resonance ( 1 H NMR) metabolomic features. Associations between these variables were examined using linear regression models, adjusted for demographic factors, lifestyle behaviors, and body mass index (BMI)., Results: In analyses that adjust for BMI, neither processed nor unprocessed forms of red meat were associated with any markers of inflammation (all P > 0.01). However, when adjusting for BMI, unprocessed red meat was inversely associated with spectral features representing the metabolite glutamine (sentinel hit: β = -0.09 ± 0.02, P = 2.0 × 10 -5 ), an amino acid which was also inversely associated with CRP level (β = -0.11 ± 0.01, P = 3.3 × 10 -10 )., Conclusions: Our analyses were unable to support a relationship between either processed or unprocessed red meat and inflammation, over and above any confounding by BMI. Glutamine, a plasma correlate of lower unprocessed red meat intake, was associated with lower CRP levels. The differences in diet-inflammation associations, compared with diet metabolite-inflammation associations, warrant further investigation to understand the extent that these arise from the following: 1) a reduction in measurement error with metabolite measures; 2) the extent that which factors other than unprocessed red meat intake contribute to glutamine levels; and 3) the ability of plasma metabolites to capture individual differences in how food intake is metabolized., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Background: Avocado consumption is linked to better glucose homeostasis, but small associations suggest potential population heterogeneity. Metabolomic data capture the effects of food intake after digestion and metabolism, thus accounting for individual differences in these processes., Objectives: To identify metabolomic biomarkers of avocado intake and to examine their associations with glycemia., Methods: Baseline data from 6224 multi-ethnic older adults (62% female) included self-reported avocado intake, fasting glucose and insulin, and untargeted plasma proton nuclear magnetic resonance metabolomic features (metabolomic data were available for a randomly selected subset; N = 3438). Subsequently, incident type 2 diabetes (T2D) was assessed over an ∼18 y follow-up period. A metabolome-wide association study of avocado consumption status (consumer compared with nonconsumer) was conducted, and the relationship of these features with glycemia via cross-sectional associations with fasting insulin and glucose and longitudinal associations with incident T2D was examined., Results: Three highly-correlated spectral features were associated with avocado intake at metabolome-wide significance levels (P < 5.3 ∗ 10 -7 ) and combined into a single biomarker. We did not find evidence that these features were additionally associated with overall dietary quality, nor with any of 47 other food groups (all P > 0.001), supporting their suitability as a biomarker of avocado intake. Avocado intake showed a modest association only with lower fasting insulin (β = -0.07 +/- 0.03, P = 0.03), an association that was attenuated to nonsignificance when additionally controlling for body mass index (kg/m 2 ). However, our biomarker of avocado intake was strongly associated with lower fasting glucose (β = -0.22 +/- 0.02, P < 2.0 ∗ 10 -16 ), lower fasting insulin (β = -0.17 +/- 0.02, P < 2.0 ∗ 10 -16 ), and a lower incidence of T2D (hazard ratio: 0.68; 0.63-074, P < 2.0 ∗ 10 -16 ), even when adjusting for BMI., Conclusions: Highly significant associations between glycemia and avocado-related metabolomic features, which serve as biomarkers of the physiological impact of dietary intake after digestion and absorption, compared to modest relationships between glycemia and avocado consumption, highlights the importance of considering individual differences in metabolism when considering diet-health relationships., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Linoleic acid (LA) is a primary n -6 polyunsaturated fatty acid (PUFA), which is of interest to nutritional professionals as it has been associated with health outcomes. However, as some LA-rich foods offer protection against chronic diseases such as CVD (e.g., fatty fish), while others increase risk (e.g., red meat), the individual foods contributing to LA intake may be an important factor to consider. Therefore, this analysis sought to examine whether there are racial/ethnic differences in the proportion of overall LA intake accounted for by individual food groups, via a cross-sectional analysis of 3815 adults participating in the National Health and Nutrition Examination Survey (NHANES; 2017-2018 cycle). Separate multivariable linear regressions models specified the proportion of overall LA intake attributable to each of the nine food groups (dairy, eggs, fat, fish, fruits and vegetables, grains, meat, nuts, and sweets) as the outcome, and race/ethnicity as the predictor, with age, gender, and socioeconomic status (SES) as covariates, in order to estimate whether there were mean differences by race/ethnicity in the proportion of overall LA intake attributable to each of these foods seperately. After a Bonferroni correction for multiple testing, eggs, grains, fruits and vegetables, meat, and fish each accounted for a different proportion of overall LA intake according to racial/ethnic grouping (all p < 0.006 after a Bonferroni correction). These findings indicate the food sources of LA in the diet differ by race/ethnicity, and warrant future investigations into whether this plays a role in health disparities.

Background/purpose: Hispanic/Latinos in the US are at increased risk for type 2 diabetes (T2D). Data suggest that avocado intake is associated with better glycemic control, but whether this translates to protection from T2D has not been studied. The goal of the current analyses was to examine whether consuming avocados at baseline is associated with lower incident T2D over a six-year period, compared to not consuming avocados at baseline., Subjects/methods: Using data from a large population of US adults with Hispanic ancestry, without known or unknown T2D at baseline (N=6,159), participants were classified as avocado consumers (N=983) or non-consumers (N=5,176) based on the mean of two 24-hour dietary recalls. Cox proportional hazard models estimated the association of avocado consumption with incident T2D (N=656 cases) over a six-year follow-up period, in the population as a whole, and separately in those with normoglycemia vs. prediabetes at baseline. A set of three sequential models were run: the first controlling only for sociodemographic factors ("minimally adjusted" models), the second for these and health behaviors ("fully adjusted" models), and a third for both sets of covariates and also body mass index (BMI; "fully adjusted + BMI" models)., Results: In the population as a whole, avocado intake at baseline was associated with reduced incident T2D in both the minimally adjusted (hazard ratio [HR] (+/- 95% confidence intervals [CIs]): 0.70 (0.52 - 0.94), P=.04) and the fully adjusted models (HR: 0.72 (0.54-0.97), P=.03). This association was observed in both those with prediabetes and with normoglycemia at baseline, but only reached significance in those with prediabetes (minimally adjusted model: HR: 0.68 (0.48-0.97), P=.03; fully adjusted model: HR: 0.69 (0.48-0.98), P=.04), not in those with normoglycemia (minimally adjusted model: HR: 0.86 (0.45-1.65), P=.65; fully adjusted model: HR: 0.80 (0.41-1.55), P=.50). In models which additionally controlled for BMI ("fully adjusted + BMI model"), the associations were slightly attenuated (overall population: HR: 0.79 (0.59-1.06), P=.60; normoglycemia: HR: 0.83 (0.42-1.64), P=.60; prediabetes: HR= 0.75 (0.54 - 1.05), P=0.09)., Conclusions: In our longitudinal analyses, adults with Hispanic / Latino ancestry who consumed avocado were less likely to develop T2D than those who did not consume avocado at baseline, especially if they had prediabetes at baseline.

Few studies have demonstrated reproducible gene-diet interactions (GDIs) impacting metabolic disease risk factors, likely due in part to measurement error in dietary intake estimation and insufficient capture of rare genetic variation. We aimed to identify GDIs across the genetic frequency spectrum impacting the macronutrient-glycemia relationship in genetically and culturally diverse cohorts. We analyzed 33,187 participants free of diabetes from 10 National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program cohorts with whole-genome sequencing, self-reported diet, and glycemic trait data. We fit cohort-specific, multivariable-adjusted linear mixed models for the effect of diet, modeled as an isocaloric substitution of carbohydrate for fat, and its interactions with common and rare variants genome-wide. In main effect meta-analyses, participants consuming more carbohydrate had modestly lower glycemic trait values (e.g., for glycated hemoglobin [HbA1c], -0.013% HbA1c/250 kcal substitution). In GDI meta-analyses, a common African ancestry-enriched variant (rs79762542) reached study-wide significance and replicated in the UK Biobank cohort, indicating a negative carbohydrate-HbA1c association among major allele homozygotes only. Simulations revealed that >150,000 samples may be necessary to identify similar macronutrient GDIs under realistic assumptions about effect size and measurement error. These results generate hypotheses for further exploration of modifiable metabolic disease risk in additional cohorts with African ancestry., Article Highlights: We aimed to identify genetic modifiers of the dietary macronutrient-glycemia relationship using whole-genome sequence data from 10 Trans-Omics for Precision Medicine program cohorts. Substitution models indicated a modest reduction in glycemia associated with an increase in dietary carbohydrate at the expense of fat. Genome-wide interaction analysis identified one African ancestry-enriched variant near the FRAS1 gene that may interact with macronutrient intake to influence hemoglobin A1c. Simulation-based power calculations accounting for measurement error suggested that substantially larger sample sizes may be necessary to discover further gene-macronutrient interactions., (© 2023 by the American Diabetes Association.)

Objective: To assess the prospective associations of circulating levels of omega 3 polyunsaturated fatty acid (n-3 PUFA) biomarkers (including plant derived α linolenic acid and seafood derived eicosapentaenoic acid, docosapentaenoic acid, and docosahexaenoic acid) with incident chronic kidney disease (CKD)., Design: Pooled analysis., Data Sources: A consortium of 19 studies from 12 countries identified up to May 2020., Study Selection: Prospective studies with measured n-3 PUFA biomarker data and incident CKD based on estimated glomerular filtration rate., Data Extraction and Synthesis: Each participating cohort conducted de novo analysis with prespecified and consistent exposures, outcomes, covariates, and models. The results were pooled across cohorts using inverse variance weighted meta-analysis., Main Outcome Measures: Primary outcome of incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m 2 . In a sensitivity analysis, incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m 2 and <75% of baseline rate., Results: 25 570 participants were included in the primary outcome analysis and 4944 (19.3%) developed incident CKD during follow-up (weighted median 11.3 years). In multivariable adjusted models, higher levels of total seafood n-3 PUFAs were associated with a lower incident CKD risk (relative risk per interquintile range 0.92, 95% confidence interval 0.86 to 0.98; P=0.009, I 2 =9.9%). In categorical analyses, participants with total seafood n-3 PUFA level in the highest fifth had 13% lower risk of incident CKD compared with those in the lowest fifth (0.87, 0.80 to 0.96; P=0.005, I 2 =0.0%). Plant derived α linolenic acid levels were not associated with incident CKD (1.00, 0.94 to 1.06; P=0.94, I 2 =5.8%). Similar results were obtained in the sensitivity analysis. The association appeared consistent across subgroups by age (≥60 v <60 years), estimated glomerular filtration rate (60-89 v ≥90 mL/min/1.73 m 2 ), hypertension, diabetes, and coronary heart disease at baseline., Conclusions: Higher seafood derived n-3 PUFA levels were associated with lower risk of incident CKD, although this association was not found for plant derived n-3 PUFAs. These results support a favourable role for seafood derived n-3 PUFAs in preventing CKD., Competing Interests: Competing interests: All authors have completed the ICMJE uniform disclosure form at https://www.icmje.org/disclosure-of-interest and declare: support from Australian National Health and Medical Research Council Career Development Fellowship and the University of New South Wales Safety Net Fellowship for the submitted work; MM reports research funding from Resolve to Save Lives, World Health Organisation and North western University, and support as invited speaker in the Nordic Dairy Congress 2022. CMR and LMS report research funding from the US National Institute of Health (NIH). CMR reports participation on the Data Safety Monitoring Boards of the SUPER and ADEPT trials and leadership role as associate editor of Diabetes Care. ACvW reports research funding from Jaap Schouten Foundation. JMG reports research funding from Jaap Schouten Foundation, EU Horizon 2020, and Ministry of Health, Welfare and Sports, The Netherlands, and leadership role as the Vice President of the Dutch Health Council. EKH reports research funding from Dutch Kidney Foundation. FI and NGF receive the MRC Epidemiology Unit core support. NGF reports research fundings from the NIHR Cambridge Biomedical Research Centre Theme on Nutrition, Diet and Lifestyle. JT declares conference support from the University of Antioquia, Colombia and possession of stocks from Orion Pharma. MU declares possession of stocks from Orion Pharma. WSH declares possession of stock in OmegaQuant Analytics, LLC (a laboratory that offers blood fatty acid testing to healthcare providers, researchers and consumers). PSS reports research funding from the National Health and Medical Research Council of Australia and honoraria from Biogen Australia and Roche Australia. ACW reports research funding from the US Department of Agriculture/Agricultural Research Service, NIH, National Cattlemen’s Beef Association and Hass Avocado Board Avocado Nutrition Research Center. JA has received research honoraria for lectures from AstraZeneca and Novartis, and has participated in the advisory board for AstraZeneca and Boerhinger Ingelheim, unrelated to the present study. UR reports research funding from Swedish Research Council Forma and Swedish Diabetes Foundation. RM reports research funding from the US NIH, Gates Foundation, Nestle and Danone, and consulting fees from Development Initiatives with leadership role as chair of the Independent Expert Group, Global Nutrition Report. AT declares as co-chair of ClinGen Gout Genetic Curation Panel and reports research funding from the US National Institute of Health; AK reports research funding from the German Research Foundation. DM reports research funding from the US NIH, the Gates Foundation, The Rockefeller Foundation, Vail Innovative Global Research, and the Kaiser Permanente Fund at East Bay Community Foundation; personal fees from Acasti Pharma and Barilla; scientific advisory board, Beren Therapeutics, Brightseed, Calibrate, Elysium Health, Filtricine, HumanCo, Instacart, January Inc., Perfect Day, Tiny Organics, and (ended) Day Two, Discern Dx, and Season Health; stock ownership in Calibrate and HumanCo; and chapter royalties from UpToDate. No other relationships or activities that could appear to have influenced the submitted work were reported., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ.)

Previous studies have suggested that infants high in negative affect have higher levels of adiposity, arising in part via changes in nutrition (e.g., “feeding to soothe”). Few studies have examined whether positive affect shows similar or inverse associations with adiposity. The current study examined cross-sectional and longitudinal relationships between adiposity and observations of positive affect in both a social and a non-social context, using data from infants at four (n = 125) and 12 (n = 80) months of age. Our analyses did not find any cross-sectional associations between positive affect and adiposity (all p > 0.05). However, in the longitudinal analyses, positive affect in a non-social context, when observed at four months of age, was positively associated with weight-for-length at 12 months of age (zWFL; ß = 1.49, SE = 0.67, p = 0.03), while positive affect observed at four months of age in a social context was inversely associated with body fat percentage at 12 months of age (ß = −11.41, SE = 5.44, p = 0.04). These findings provide preliminary evidence that the p positive affect is related to adiposity in infancy and suggest that the direction of association (i.e., direct or inverse) may be specific to the context in which positive affect is measured. Future research should examine the role of nutritional status in any relationships between adiposity and emotion at this early stage.

The optimal approach to feeding preschool children balances expectation setting (demandingness) with responsivity to the child (responsiveness), and ideal feeding practices use environmental structuring and covert, non-directive control strategies while maintaining responsiveness. However, research has not examined the extent to which demandingness and responsiveness in feeding style is concordant with structure, responsiveness and control (directive and non-directive) in feeding practices. We classified the feeding style of 122 parents of preschoolers as authoritative (high demandingness/high responsiveness), authoritarian (high demandingness/low responsiveness), indulgent (low demandingness/high responsiveness), or uninvolved (low demandingness/low responsiveness). Parents reported on their frequency of use of 31 vegetable parenting practices (VPPs), that were classified into the domains of structure, control and responsiveness, and subcategorized as effective (likely to obtain the desired change without increasing child obesity risk) or ineffective (unlikely or increases risk) by expert consensus. We hypothesized that parents with an authoritative feeding style would have the highest effective structure, responsiveness and control VPPs, and the authoritarian style would differ with less responsiveness VPPs. We also hypothesized that the indulgent feeding style would have low levels of structure and control VPPs and high ineffective responsiveness VPPs. As expected, we found that parents with an authoritative feeding style reported using more effective structure and responsiveness VPPs. Surprisingly, parents with an authoritarian feeding style did not have VPPs which differed from those with an authoritative feeding style, and parents with an indulgent feeding style had surprisingly high effective control VPPs. Further research into the similarities and differences between parents' overall approach to feeding and their use of feeding practices related to specific foods is warranted, which may help inform the design of more effective interventions aimed at improving child dietary quality., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

The health effects of omega-3 fatty acids have been controversial. Here we report the results of a de novo pooled analysis conducted with data from 17 prospective cohort studies examining the associations between blood omega-3 fatty acid levels and risk for all-cause mortality. Over a median of 16 years of follow-up, 15,720 deaths occurred among 42,466 individuals. We found that, after multivariable adjustment for relevant risk factors, risk for death from all causes was significantly lower (by 15-18%, at least p < 0.003) in the highest vs the lowest quintile for circulating long chain (20-22 carbon) omega-3 fatty acids (eicosapentaenoic, docosapentaenoic, and docosahexaenoic acids). Similar relationships were seen for death from cardiovascular disease, cancer and other causes. No associations were seen with the 18-carbon omega-3, alpha-linolenic acid. These findings suggest that higher circulating levels of marine n-3 PUFA are associated with a lower risk of premature death.

Background: Early childhood (0-3 years) is a critical period for obesity prevention, when tendencies in eating behaviors and physical activity are established. Yet, little is understood about how the environment shapes children's genetic predisposition for these behaviors during this time. The Baylor Infant Twin Study (BITS) is a two phase study, initiated to study obesity risk factors from infancy. Data collection has been completed for Phase 1 in which three sub-studies pilot central measures for Phase 2. A novel infant temperament assessment, based on observations made by trained researchers was piloted in Behavior Observation Pilot Protocol (BOPP) study, a new device for measuring infant feeding parameters (the "orometer") in the Baylor Infant Orometer (BIO), and methods for analyzing DNA methylation in twins of unknown chorionicity in EpiTwin., Methods: EpiTwin was a cross-sectional study of neonatal twins, while up to three study visits occurred for the other studies, at 4- (BOPP, BIO), 6- (BOPP), and 12- (BOPP, BIO) of age. Measurements for BOPP and BIO included temperament observations, feeding observations, and body composition assessments while EpiTwin focused on collecting samples of hair, urine, nails, and blood for quantifying methylation levels at 10 metastable epialleles. Additional data collected include demographic information, zygosity, chorionicity, and questionnaire-based measures of infant behaviors., Results: Recruitment for all three studies was completed in early 2020. EpiTwin recruited 80 twin pairs (50% monochorionic), 31 twin pairs completed the BOPP protocol, and 68 singleton infants participated in BIO., Conclusions: The psychometric properties of the data from all three studies are being analyzed currently. The resulting findings will inform the development of the full BITS protocol, with the goal of completing assessments at 4-, 6-, 12-, and 14-month of age for 400 twin pairs., Competing Interests: All authors declare they have no conflicts of interest., (© 2020 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.)

Purpose of Review: This review summarizes the latest scientific evidence for the presence of metabolomic differences between infants fed breast milk (I-BM) and infants fed formula milk (I-FM)., Recent Findings: Across the studies included in this review, a total of 261 metabolites were analyzed, of which 151 metabolites were reported as significantly associated with infant feeding modality (BM versus FM). However, taken as a whole, the relevant literature was notable both for methodological limitations, such as small sample sizes, and heterogeneity between the studies. This may be why many associations between infant metabolite profile and feeding modality have not replicated across studies. To our knowledge, this is the first review to integrate the available literature on metabolomic differences between I-BM versus I-FM. This narrative review synthesized the data across studies and identified those metabolites which show the most robust associations with infant feeding modality. Methodological limitations of the current studies are identified, followed by recommendations for how to address these in future studies.

Three hundred and forty-seven serum samples from 22 Iowa swine herds were screened for TGEV/PRCV neutralizing antibody. Ninety-one percent of the sera and all 22 herds were positive. These sera were then tested by the blocking ELISA test to distinguish TGEV and PRCV antibody. The ELISA test confirmed the high percentage of TGEV/PRCV positive sera. By the blocking ELISA test, 12 herds were PRCV positive, 6 herds were TGEV positive and 4 herds were mixed with sera either positive for TGEV or PRCV antibody. The results suggest a recent increase in TGEV/PRCV seroprevalence in Iowa swine most likely due to subclinical PRCV infections.