Human Nutrition Research Research Articles

34 The influence and interaction of nutrition with the immune system in companion animal models

Abstract Understanding the impacts of nutrients in a species-specific manner has both practical and academic benefits for improving animal health. Therefore, species-specific animal models and research reagents are crucial to understanding molecular and physiological pathways. However, limitations in repeatable, descriptive models, sample size, and the ethics of companion animal research result in often needing to make inferences from human, murine, and other related immunology and nutrition research models. Recent companion animal work has focused on the impact of key nutrients in animal diets, including fat-soluble vitamins D, and E, omega-3 polyunsaturated fatty acids (PUFA), overall amino acid and energy balance over the lifespan, minerals including zinc and selenium, and feed additives such as probiotics and beta glucans. The selected research model, samples able to be collected, and available reagents for sample analysis will impact potential outcomes and inferences made from the data, including both acute to chronic impacts. From a theoretical standpoint, the balance between nutrient supplementation and impact includes understanding nutrients and responses of a model system in both deficiency and therapeutic level settings. For example, when supplementing Vitamin D, Vitamin E, or omega-3 polyunsaturated fatty acids, inclusion above currently recommended levels may optimize immune function, such as pathogen clearance, improved vaccine titer responses, or reduce inflammation. For other nutrients associated with immunomodulation such as zinc, additional chronic pharmacological supplementation may inhibit certain aspects of immune function, much like a deficiency scenario. Overstimulation of the immune system through nutrient supplementation may also impact the necessary modulation and repair roles that immune cells such as macrophages play in wound healing and anti-inflammatory responses. Continued work in nutritional immunology will further enhance our understanding of the power of nutrition and diet to improve health in companion animals.

The effects of saturated fat intake from dairy on CVD markers: the role of food matrices.

CVD is the leading cause of death worldwide, and is commonly associated with modifiable risk factors. Most studies to date examining link between food intake and risk of CVD, have focused on modulation of plasma cholesterol concentrations (total cholesterol (TC), LDL-C). However, recent studies suggest LDL particle size is a more sensitive risk marker for CVD with smaller, dense LDL particles reported as more atherogenic than larger, more buoyant LDL. Although dietary guidelines recommend SFA intake of < 10 % of total energy, this does not consider food source, with recent evidence suggesting differing, sometimes beneficial, lipid responses following consumption of SFA from dairy compared to other food sources. This may be from differences in the physical food matrices, the nutrient content of the foods, and/or how these components interact with each other, described as a 'dairy matrix effect'. Dietary fat not only raises LDL-C, but also HDL cholesterol (HDL-C), associated with reduced CVD risk. HDL particles are complex emulsions of lipids, proteins and microRNAs that exhibit atheroprotective properties. In addition, HDL particles exhibit a very heterogeneous proteomic composition, dependent on a person's disease state - with a more pro-inflammatory proteome evident in patients with established CVD. This review will discuss the evidence to date on the importance of the food matrix in modulating response to dietary SFA and impact on CVD risk factors. A focus on potential biomarker properties of lipoprotein particles beyond cholesterol and current use of such biomarkers in human nutrition research will be considered.

Human Nutrition Research in the Data Era: Results of 11 Reports on the Effects of a Multiple-Micronutrient-Intervention Study.

Large datasets have been used in molecular and genetic research for decades, but only a few studies have included nutrition and lifestyle factors. Our team conducted an n-of-1 intervention with 12 vitamins and five minerals in 9- to 13-year-old Brazilian children and teens with poor healthy-eating indices. A unique feature of the experimental design was the inclusion of a replication arm. Twenty-six types of data were acquired including clinical measures, whole-genome mapping, whole-exome sequencing, and proteomic and a variety of metabolomic measurements over two years. A goal of this study was to use these diverse data sets to discover previously undetected physiological effects associated with a poor diet that include a more complete micronutrient composition. We summarize the key findings of 11 reports from this study that (i) found that LDL and total cholesterol and fasting glucose decreased in the population after the intervention but with inter-individual variation; (ii) associated a polygenic risk score that predicted baseline vitamin B12 levels; (iii) identified metabotypes linking diet intake, genetic makeup, and metabolic physiology; (iv) found multiple biomarkers for nutrient and food groups; and (v) discovered metabolites and proteins that are associated with DNA damage. This summary also highlights the limitations and lessons in analyzing diverse omic data.

Food security and nutrition competencies diminish the role of GDP in predicting stunting variations among countries

Purpose: Stunting as an indicator of human wellness deserves global attention. Lack of Income (Gross Domestic Product-Per Capita; GDP-PC) is a key factor for explaining all the variations in stunting, but refining its role calls for a close examination of other drivers. This study explored the role of GDP, food security, and nutrition competence in explaining the international variation in stunting.&#x0D; Design/Methodology/Approach: Univariate and multivariate associations between stunting and predictors (GDP, Food Security, and Nutrition competence) were explored. The data required for this study was available from 90s countries.&#x0D; Findings: Food security status (as assessed by the Impact Economist Food Security Index) and Nutrition Research Activity (estimated by Human Nutrition Research output of countries in the past five years) diminished the association between GDP and stunting and explained 74% of the variation in rates of stunting between countries.&#x0D; Conclusion: These results concluded that an increase in income can assure improvements in human wellbeing only if it leads to an improvement in food security and nutrition competences, which appear to be important drivers of that process.&#x0D; Research Limitations: This study only focused on stunting brought on by malnutrition. While genetic make-up, regional location, and pathological disorders all affect height, these elements are not the main focus of this study.&#x0D; Practical Implications: This study highlighted the key determinants of food security and nutritional competence that are linked to stunting among the studied nations in the hopes that focusing attention on these issues will help to end the problem.&#x0D; Contribution to Literature: No literature is available that presents worldwide data on the impact of countries’ GDP on their rates of stunting. This study is one of its kind and provides reliable global data (113 countries) to find the association among the relative roles of Income, Food Security, and Nutrition Competence in the determination of global variations in stunting rates.

Prosopis juliflora: nutritional value, bioactive activity, and potential application in human nutrition.

Prosopis juliflora is a xerophytic, nitrogen-fixing plant distributed in arid and semi-arid regions. The fruits of this plant are pods, which have seeds inside, and both pods and seeds have high nutritional value and bioactive potential. Different derivatives can be obtained from the pods and seeds: flour, starch, syrup, protein concentrate, and gums. This review aims to gather information from the literature on P. juliflora. It focuses on the nutritional value, bioactive activity, and technological application of pods, seeds, and their derivatives, highlighting their use in human nutrition and new research perspectives. The pod of P. juliflora can be used in several ways, as it has high levels of nutrients. It is used as a food supplement; it has antimicrobial effects and phytochemicals associated with other bioactive activity. Among the pod derivatives, flour is the most studied and can be widely used in bakery products. The seed of P. juliflora also has high nutritional potential and bioactive activity. Among its other derivatives, the gum stands out and can be used for various purposes in the food industry. To expand the use of pods, seeds, and their derivatives in human nutrition, further studies are needed on chemical composition, bioactive activity, toxicity, and nutritional, bioactive, technological, and sensory effects of their application in food products. © 2023 Society of Chemical Industry.

Doris Howes Calloway

During her career of over 40 years, Dr Doris Calloway held a variety of leadership/administrative positions while conducting groundbreaking research in human nutrition. In those positions, she illustrated the characteristics of dynamic, successful leaders. She led change in the nutritional sciences program at the University of California, Berkeley; she valued and prioritize personal development while prioritizing the development of others; and she practiced and encouraged strategic thinking, innovation, and action while being honest and ethical. Plus, she communicated effectively across cultures.

Influence of Processing and Digestion on the Stability, Bioac-Cessibility and Bioactivity of Food Polyphenols

In part, the role of polyphenols, as partially responsible components, for the protective effects of a fruit and vegetable-rich diet is an increasingly important area of human nutrition research [...].

Developmental Process and Early Phases of Implementation for the US Interagency Committee on Human Nutrition Research National Nutrition Research Roadmap 2016–2021

Developmental Process and Early Phases of Implementation for the US Interagency Committee on Human Nutrition Research National Nutrition Research Roadmap 2016–2021

Metabotyping: a tool for identifying subgroups for tailored nutrition advice.

Diet-related diseases are the leading cause of death globally and strategies to tailor effective nutrition advice are required. Personalised nutrition advice is increasingly recognised as more effective than population-level advice to improve dietary intake and health outcomes. A potential tool to deliver personalised nutrition advice is metabotyping which groups individuals into homogeneous subgroups (metabotypes) using metabolic profiles. In summary, metabotyping has been successfully employed in human nutrition research to identify subgroups of individuals with differential responses to dietary challenges and interventions and diet–disease associations. The suitability of metabotyping to identify clinically relevant subgroups is corroborated by other fields such as diabetes research where metabolic profiling has been intensely used to identify subgroups of patients that display patterns of disease progression and complications. However, there is a paucity of studies examining the efficacy of the approach to improve dietary intake and health parameters. While the application of metabotypes to tailor and deliver nutrition advice is very promising, further evidence from randomised controlled trials is necessary for further development and acceptance of the approach.

Doris Howes Calloway

When the US Department of Agriculture developed a new West Coast human nutrition research center in 1980, it turned to Dr Doris Calloway at the University of California at Berkeley, an internationally known and respected researcher in human nutrition, for expertise on controlled human nutrition metabolic research. This article highlights the importance and impact of Dr Calloway's leadership, expertise, and unique metabolic research methods in establishing human nutrition metabolic research at the US Department of Agriculture/Agricultural Research Service, Western Human Nutrition Research Center. It also provides a historical overview of the origins of the Western Human Nutrition Research Center and discusses the importance of a metabolic facility for human nutrition research.

Dietary Energy.

Journal Article Accepted manuscript Dietary Energy Get access Susan B Roberts, Susan B Roberts Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA Address correspondence to SBR (E-mail: susan.roberts@tufts.edu). https://orcid.org/0000-0003-1320-8460 Search for other works by this author on: Oxford Academic Google Scholar Valerie Flaherman Valerie Flaherman Department of Pediatrics, School of Medicine, University of California San Francisco, San Francisco, CA 94158, USA Search for other works by this author on: Oxford Academic Google Scholar Advances in Nutrition, nmac092, https://doi.org/10.1093/advances/nmac092 Published: 27 August 2022

Doris Howes Calloway

Although the importance of diet quality was identified more than 120 years ago, it was nearly 60 years before the specific quantitative nutrient needs for humans were determined. Dr Doris Howes Calloway, a nutrition professor at the University of California in Berkeley, established a metabolic unit for studying human nutrient requirements. This article reviews the early origins of human nutrition research and the unique contributions of Dr Calloway worldwide.

Waking Salivary Cortisol Associated with Magnitude of Cholesterol Reduction in Women Fed a Healthy Whole-Food Diet for 8 Weeks

Diet and cortisol are independently linked to cardiometabolic function and health, but underlying alterations in circulating cortisol may influence beneficial cardiometabolic effects of consuming a healthy diet. This study was a secondary analysis to examine whether baseline concentrations of waking salivary cortisol interacted with 8-wk whole-food diet interventions to affect cardiometabolic outcomes. A randomized, double-blind, controlled 8-wk diet intervention was conducted in 44 participants. The trial was conducted at the Western Human Nutrition Research Center in Davis, California. Participants were overweight or obese women aged 20-64 y, minimally active, and insulin resistant and/or dyslipidemic. Diets were randomly assigned and based on the 2010 Dietary Guidelines for Americans (DGA) or a typical American diet (TAD). Cardiometabolic risk factors and salivary cortisol were assessed at baseline and at 8 wk. Primary outcome measures included 8-wk change in overnight fasted cardiometabolic risk factors, including blood pressure, BMI, and circulating triglycerides, cholesterol, glycated hemoglobin (HbA1c), nonesterified fatty acids, and high-sensitivity C-reactive protein. This trial was approved by the University of California, Davis, Institutional Review Board. Baseline waking cortisol concentrations interacted (P = 0.0474) with diet to affect 8-wk changes in fasting total cholesterol. Compared with a TAD, a DGA diet was associated with 8-wk decreases in total cholesterol in participants with low (10th percentile of all participants; 2.76 nmol/L) or average (7.76 nmol/L) but not higher (90th percentile of all participants; 13.44 nmol/L) baseline waking cortisol. Consistent with this finding, there was a DGA-specific positive association (P = 0.0047; b: 2.88 ± 0.94) between baseline waking cortisol and 8-wk increases in total cholesterol. The underlying status of waking cortisol may explain interindividual variability in total cholesterol responses to whole-food diets. This trial was registered at www.clinicaltrials.gov (https://clinicaltrials.gov/ct2/show/NCT02298725) as NCT02298725.

How Does Starch Structure Impact Amylolysis? Review of Current Strategies for Starch Digestibility Study.

In vitro digestibility of starch is a common analysis in human nutrition research, and generally consists of performing the hydrolysis of starch by α-amylase in specific conditions. Similar in vitro assays are also used in other research fields, where different methods can be used. Overall, the in vitro hydrolysis of native starch is a bridge between all of these methods. In this literature review, we examine the use of amylolysis assays in recent publications investigating the complex starch structure-amylolysis relation. This review is divided in two parts: (1) a brief review of the factors influencing the hydrolysis of starch and (2) a systematic review of the experimental designs and methods used in publications for the period 2016–2020. The latter reports on starch materials, factors investigated, characterization of the starch hydrolysis kinetics and data analysis techniques. This review shows that the dominant research strategy favors the comparison between a few starch samples most frequently described through crystallinity, granule type, amylose and chain length distribution with marked characteristics. This strategy aims at circumventing the multifactorial aspect of the starch digestion mechanism by focusing on specific features. An alternative strategy relies on computational approaches such as multivariate statistical analysis and machine learning techniques to decipher the role of each factor on amylolysis. While promising to address complexity, the limited use of a computational approach can be explained by the small size of the experimental datasets in most publications. This review shows that key steps towards the production of larger datasets are already available, in particular the generalization of rapid hydrolysis assays and the development of quantification approaches for most analytical results.

Editorial introductions

Editorial introductions

Using naso- and oro-intestinal catheters in physiological research for intestinal delivery and sampling in vivo: practical and technical aspects to be considered.

ABSTRACTIntestinal catheters have been used for decades in human nutrition, physiology, pharmacokinetics, and gut microbiome research, facilitating the delivery of compounds directly into the intestinal lumen or the aspiration of intestinal fluids in human subjects. Such research provides insights about (local) dynamic metabolic and other intestinal luminal processes, but working with catheters might pose challenges to biomedical researchers and clinicians. Here, we provide an overview of practical and technical aspects of applying naso- and oro-intestinal catheters for delivery of compounds and sampling luminal fluids from the jejunum, ileum, and colon in vivo. The recent literature was extensively reviewed, and combined with experiences and insights we gained through our own clinical trials. We included 60 studies that involved a total of 720 healthy subjects and 42 patients. Most of the studies investigated multiple intestinal regions (24 studies), followed by studies investigating only the jejunum (21 studies), ileum (13 studies), or colon (2 studies). The ileum and colon used to be relatively inaccessible regions in vivo. Custom-made state-of-the-art catheters are available with numerous options for the design, such as multiple lumina, side holes, and inflatable balloons for catheter progression or isolation of intestinal segments. These allow for multiple controlled sampling and compound delivery options in different intestinal regions. Intestinal catheters were often used for delivery (23 studies), sampling (10 studies), or both (27 studies). Sampling speed decreased with increasing distance from the sampling syringe to the specific intestinal segment (i.e., speed highest in duodenum, lowest in ileum/colon). No serious adverse events were reported in the literature, and a dropout rate of around 10% was found for these types of studies. This review is highly relevant for researchers who are active in various research areas and want to expand their research with the use of intestinal catheters in humans in vivo.

Perspective: Planning and Conducting Statistical Analyses for Human Nutrition Randomized Controlled Trials: Ensuring Data Quality and Integrity

Appropriate planning, execution, and reporting of statistical methods and results is critical for research transparency, validity, and reproducibility. This paper provides an overview of best practices for developing a statistical analysis plan a priori, conducting statistical analyses, and reporting statistical methods and results for human nutrition randomized controlled trials (RCTs). Readers are referred to the other NURISH (NUtrition inteRventIon reSearcH) publications for detailed information about the preparation and conduct of human nutrition RCTs. Collectively, the NURISH series outlines best practices for conducting human nutrition research.

Genetic and Environmental Contributions to Variation in the Stable Urinary NMR Metabolome over Time: A Classic Twin Study.

Genes, sex, age, diet, lifestyle, gut microbiome, and multiple other factors affect human metabolomic profiles. Understanding metabolomic variation is critical in human nutrition research as metabolites that are sensitive to change versus those that are more stable might be more informative for a particular study design. This study aims to identify stable metabolomic regions and determine the genetic and environmental contributions to stability. Using a classic twin design, 1H nuclear magnetic resonance (NMR) urinary metabolomic profiles were measured in 128 twins at baseline, 1 month, and 2 months. Multivariate mixed models identified stable urinary metabolites with intraclass correlation coefficients ≥0.51. Longitudinal twin modeling measured the contribution of genetic and environmental influences to variation in the stable urinary NMR metabolome, comprising stable metabolites. The conservation of an individual’s stable urinary NMR metabolome over time was assessed by calculating conservation indices. In this study, 20% of the urinary NMR metabolome is stable over 2 months (intraclass correlation (ICC) 0.51–0.65). Common genetic and shared environmental factors contributed to variance in the stable urinary NMR metabolome over time. Using the stable metabolome, 91% of individuals had good metabolomic conservation indices ≥0.70. To conclude, this research identifies 20% of the urinary NMR metabolome as stable, improves our knowledge of the sources of metabolomic variation over time, and demonstrates the conservation of an individual’s urinary NMR metabolome.

Where’s the Federal Funding for Food Systems Research?

Abstract Objectives This research project provides a novel assessment of historic and current levels of federal funding for systems-based nutrition research, defined as research that evaluates nutrition and dietary patterns in the context of agroecological systems, and demonstrates the need for greater public funding by identifying persistent research gaps in food systems research and the social, economic, and environmental costs of these needs remaining unmet. The work is being motivated by a growing movement among nutrition and health advocates to elevate the role of nutrition in improving population health and reducing health care costs and highlight the need for greater public funding for and focus on nutrition research. Methods Federal spending on systems-based nutrition research was estimated using information from the NIH Human Nutrition Research Information Management System and direct communication with federal agencies providing funding for initiatives supporting relevant research between 2010 and 2020. Gaps in systems-based nutrition research will be defined based on systematic evaluation by federal entities such as the 2015 and 2020 Dietary Guidelines Advisory Committees and Interagency Committee on Human Nutrition Research. Results Preliminary results indicate that there is less than $150 million in federal funding allocated to nutrition research related to food and agricultural production, food processing and manufacturing, supply chains, and sustainable diets, representing less than 10% of all annual nutrition research funding, which has remained stagnant for decades. Conclusions Federal investments in systems-based nutrition research at leading federal institutions, including the US Department of Agriculture and National Institutes of Health, pale in comparison to the costs of diet-related disease and threats posed by climate change, environmental pollution, and diet-related health disparities. Greater investments in this field of study, including filling research gaps identified by leading expert reports and improving coordination of research among federal agencies, will be essential to developing effective solutions to pressing public health threats. Funding Sources Funding provided by The Lumpkin Family Foundation, The Martin Foundation, the WK Kellogg Foundation, and the Union of Concerned Scientists members.

Associations of Low-Inflammatory Dietary Patterns With Psychological Health and Wellbeing During Weight Loss in Military Family Dependents

ObjectivesEmerging evidence suggests that anti-inflammatory dietary patterns may improve depression, stress, and quality of life. Similar benefits are observed during weight loss interventions; however, the effect of combining these dietary patterns with weight loss is not clear. We evaluated the association between dietary inflammation and measures of psychological health in female military dependents with overweight and obesity during a behavioral weight loss intervention. MethodsParticipants (n = 120) received a 6-month intervention recommending dietary patterns with an anti-inflammatory profile. An energy-adjusted dietary inflammatory index (DII) score was calculated from 28 food components collected using 3 interviewer-administered multiple-pass 24-hour recalls at each study time point. A negative score indicates a lower-inflammatory dietary pattern, and a positive score indicates a pro-inflammatory pattern. Self-reported symptoms of depression, stress, general health, vitality, and psychological quality of life were measured by validated questionnaires. Multivariable linear mixed models were used to assess the association between 6-month changes in DII and each outcome and were adjusted for age, ethnicity, military rank of spouse, body weight, and physical activity. ResultsOn average, females were 42.2 ± 11.8 years old with a body mass index of 34.9 ± 6.4 kg/m2. The average DII score was 0.07 (range: –4.3, 3.0) at baseline. Six-month improvements in DII scores (i.e., for a 1-unit reduction) were associated with fewer self-reported symptoms of depression (β: –0.87; 95% confidence interval: –1.43, –0.31; P = 0.003) and stress (–0.85; –1.44, –0.26; P = 0.005), as well as higher general health (0.57; 0.23, 0.91; P = 0.001), vitality (0.45; 0.12, 0.77; P = 0.008), and psychological quality of life (0.33; 0.11, 0.55; P = 0.004). No significant associations between weight loss or physical activity and any outcome were observed in these models that included the DII. ConclusionsAnti-inflammatory dietary patterns are associated with beneficial effects on a range of psychological health and wellbeing measures independent of weight loss. Funding SourcesJean Mayer USDA Human Nutrition Research Center on Aging Doctoral Scholarship; Department of Defense (DoD) grant W81XWH-14–2-0005 (SBR). Author views do not reflect official DoD or Army policy.