Pistachio Consumption on Inflammatory Markers and Lean Body Mass

The overall goal of the study is to evaluate the effects of pistachio consumption on inflammatory markers and lean body mass in women and men, 40 to 60 years of age, who exercise three to five days per week. To determine the effects of consuming 1.5 ounces of pistachios per day compared to a control group on inflammatory markers (creatine kinase, C-reactive protein, cortisol, Interleukin-8, tumor necrosis factor-alpha, copper-zinc superoxide dismutase, and glutathione peroxidase concentrations) and lean body mass in women and men, 40 to 60 years of age, who have been recreationally active for at least six months (exercising three to five days per week).

This will be a randomized study where participants will first complete a two-week baseline run-in period during which they will consume their typical diet. Following this, participants will be randomized to one of two groups for six months: consuming 1.5 ounces of pistachios per day versus a control (consuming no pistachios). The pistachios will be in addition to their usual diet.

Dietary Intervention including Dietary Evaluation The dietary intervention will be to randomly assign 144 participants to consume 1.5 ounces of pistachios per day (72 participants) or a control group (consuming no pistachios) (72 participants). That will be the only change will be implemented into the participants' diets. Because a number of researchers have shown that adding pistachios to the diet does not lead to weight gain, participants will not be asked to alter their diets in any way, except to add consumption of 1.5 ounces of pistachios per day for six months, or have no change in their diet (control group) (depending on the group to which they were randomly assigned).

Two-week Baseline Run-in Period A two-week baseline run-in period will be incorporated during which participants will consume their typical diet. Following this, participants will be randomized to one of two groups for six months: consuming 1.5 ounces of pistachios per day or a control group (consuming no pistachios). The pistachios will be in addition to their usual diet.

Why incorporate a two-week baseline run-in period? First, a run-in period is used after recruitment, but prior to randomizing participants. With a run-in period, even if there will be no treatment during the run-in period (as in our study), it allows the researchers to assess participant participation prior to randomization. If a participant is not receptive to any contact (e.g., emails, phone calls) during the run-in period, it will allow the researchers to exclude them from participating, which can increase the study's power. However, a run-in period might lead to negative effects. It could influence external validity by excluding participants from the study. A run-in period could also affect internal validity by inflating the intent-to-treat effect estimate. In addition, researchers should report why any participants were excluded during the run-in period, and describe their baseline characteristics in any publications.

Dietary Intake and Physical Activity Assessment A Block 2014 full length food frequency questionnaire (FFQ) + physical activity screener for adults (NutritionQuest, Berkeley, CA) at baseline only. Food frequency questionnaires provide an overall food and beverage intake over the past year. The Block 2014 FFQ + physical activity screener combines a full-length FFQ with a short physical activity screening tool. The Block 2014 FFQ + physical activity screener has 127 food and beverage items. The database for analyses was created from the United States Department of Agriculture's (USDA's) Food and Nutrient Database for Dietary Studies 5.0, the Food Pyramid Equivalents Database, and the Nutrient Database for Standard Reference. The Block 2014 FFQ + physical activity screener provides portion size photos for food and beverage intake. The short physical activity screener incorporates 11 common physical activities derived from evaluation of the National Human Activities Patterns Survey, and assesses total minutes, metabolic equivalent (MET) minutes, and energy expenditure. We chose to use the Block 2014 FFQ + physical activity screener because it will also provide the researchers with an overall assessment of participants' physical activity.

Adherence Assessment Participants randomly assigned to the pistachio group will receive a three-month supply of pistachios (1.5-ounce packets) after baseline data collection. The participants will be provided with the pistachios in portion-controlled packets to ensure adherence and to decrease any barriers to consumption.

Enough pistachios will be provided to the participants for three months so that participants must return to our laboratory to receive another three-month supply. When participants return to our laboratory at three months, they will be asked to bring any unused packets of pistachios with them. At the three-month time point, the researchers will document any unconsumed packets of pistachios. Participants will be asked why they did not consume some of their pistachio packets and document their reasons. The researchers will then provide participants with another three-month supply of pistachios, which will take them to the end of the study. If participants do not consume 80% or more of the pistachios provided, they will be dropped from the study.

Blood Collection and Analyses (Primary) Fasting serum C-reactive protein, serum Interleukin-8, serum tumor necrosis factor-alpha, plasma copper-zinc superoxide dismutase, plasma glutathione peroxidase, serum creatine kinase, and serum cortisol concentrations will all be assessed at baseline, three months, and end of study. Participants will arrive at the phlebotomy room in Wallace Hall at Virginia Tech in the morning, after an overnight fast (10-hour fast). For all blood collections, venous blood will be collected in serum tubes (no anti-coagulant) or in plasma tubes (with heparin or EDTA as an anti-coagulant) by a trained phlebotomist. Twenty (20) milliliters (mL) of blood will be collected from each participant at each time point. Ten mL will be collected into serum tubes (no anti-coagulant), and 10 mL will be collected into plasma tubes with heparin or EDTA as an anti-coagulant. The three-month data collection will not only allow the researchers to collect more data, but it will also allow the researchers to have another check-in with all participants, but in particular, those in the control group. In addition, the researchers will try to schedule the blood draws at the same time that the participants in the pistachio group will come to the lab for their blood draw.

Following the blood collection, red blood cells will be separated from serum or plasma via centrifugation at 3000 rpm (1500xg) for 15 minutes. Serum blood samples will first need to clot on ice for one hour prior to centrifugation. Plasma samples will be centrifuged immediately after each blood draw. The clear supernatant will be aliquoted into properly labeled 1.5 mL Eppendorf tubes (Eppendorf AG, Massachusetts, USA, and Germany) using disposable, transfer pipettes. The tubes for all determinations will be stored at -80°C until required for analyses. All blood samples will be analyzed, in duplicate, for all the aforementioned biomarkers.

Enzyme-Linked Immunosorbent Assays (ELISA) (ThermoFisher Scientific, Waltham, MA) will be used to assess all biomarkers, using a BioTek Synergy H1 Hybrid Multi-Mode Monochromator Fluorescence Microplate Reader (Fisher Scientific, Hanover Place, IL). All blood analyses will be conducted at the end of the study to minimize differences among ELISA kits. All blood analyses will be performed in the Nutritional Biochemistry Laboratory in Wallace Hall (Department of Human Nutrition, Foods, and Exercise, Virginia Tech).

The aforementioned biomarkers were selected for several reasons. First, they are some of the key inflammatory markers in the body. In addition, they provide a balance of inflammatory markers and antioxidants. Finally, not all of them have been measured in studies where pistachios were consumed as part of the intervention.

Lean Body Mass Assessment (Primary) The researchers will use a Lunar iDXA2, MTY dual energy X-ray absorptiometer (DXA) (GE Precision Healthcare, LLC, Chicago, IL) to analyze body composition, specifically, lean body mass. The DXA is considered a gold standard for assessing lean body mass, percent body fat, and bone mineral density. A total body scan takes about five minutes. The amount of radiation exposure is no more than what one would obtain from a cross-country plane flight. We will measure body composition at baseline and end of study. The researchers will not measure body composition at three months for two because we do not want to add one more exposure of radiation to the participants.

Body Weight, Height, Body Mass Index, and Waist Circumference (Secondary) To obtain descriptive data, body weight will be measured to the nearest 0.25 kg, without shoes and with the same clothes, on a calibrated balance-beam scale (Seca, Hamburg, Germany). Height will be measured to the nearest 0.5 cm using a stadiometer attached to the balance-beam scale. The researchers will measure body weight and height twice, and take the average of each of the measures. The researchers have incorporated this method for a number of years, to increase accuracy when assessing body weight and height. Body mass index (BMI) will be computed using the following equation: BMI = weight (kilograms)/height (meters2). Participants will be asked to wear the same clothes for each data collection and for ease of other anthropometric measurements. The researchers want body weight to remain stable throughout the study period.

It has been established that waist circumference measurements are a simple, reliable assessment of visceral fat within the abdomen. Participants will be asked to stand with their feet about shoulder-width apart, and with their weight equally distributed on each leg. They will be asked to breathe normally, with the reading taken at the end of gentle exhaling. Waist circumference will be measured at one inch above the umbilicus in triplicate to the nearest 0.5 cm using a Gulick tape measure. The average of the three measures will be used as the value. We will measure body weight, height, BMI and waist circumference at baseline and end of study.

Statistical Evaluations including Power Calculation Database Set-up and Management The Research Electronic Data Capture (REDCap) system will be used as a central resource for data processing and management. As the front-end collection instrument is created, REDCap automatically creates a back-end database designed to store the data that will be recorded from the research. Virginia Tech's (VT's) Office of Export and Secure Research Compliance (OESRC) has licensed its own version of REDCap that is hosted on-premise at the Andrews Information Systems Building. REDCap was developed specifically around the Health Insurance Portability and Accountability Act (HIPAA)-Security guidelines to support online and offline data capture for research studies and operations. It provides an intuitive interface for data entry with data validation, audit trails for tracking data manipulation and export procedures, and automated export procedures for seamless data downloads.

Study Design This will be a randomized study where participants will first complete a two-week baseline run-in period during which they will consume their typical diet. Following this, participants will be randomized to one of two groups for six months: consuming 1.5 ounces of pistachios per day, or a control group (consuming no pistachios). Those in the pistachio group will consume pistachios in addition to their usual diet.

Randomization The researchers will randomize eligible participants to one of two groups (pistachio vs. control) using permuted block randomization with stratification to balance assignment by sex. Randomization allocation tables will be created by a biostatistician not involved in the clinical trial using SAS software, version 9.4 (SAS Institute, Cary, NC, USA). The tables will be stored within the REDCap system at Virginia Tech, in such a way that only the biostatistician will be able to view them. Study outcomes will be analyzed blind to allocation status.

Sample Size and Power Calculation The primary outcome is change in inflammatory response, measured by C-reactive protein concentrations, from the baseline run-in period to six months. Power for this study was based on results for C-reactive protein concentrations of healthy adults receiving a dietary intervention, where the assumed mean C-reactive protein concentration at baseline is 1.53 mg/L (standard deviation [SD] 1.52 mg/L). For within-group comparisons, a sample size of 60 healthy adults per group (120 total) achieves 80% power to detect paired mean differences of 0.62 (Cohen's d = 0.41 [small-medium effect]), and is based on a two-sided paired t-test when specifying a significance level of α=0.025. For between-group comparisons, sample sizes of 60 per group (120 total) achieves 80% power to detect a mean difference of 0.86 (Cohen's d=0.57 [medium effect]) based on a two-sided two-sample t-test assuming equal variances and α=0.025. To account for a possible 20% attrition rate, we will recruit 144 participants (72 participants per group).

Data Analyses Preliminary Analyses Descriptive statistics, including measures of central tendency (mean, median) and variation (standard deviation, interquartile range, range) for continuous measures and frequencies and percentages for dichotomous and categorical measures, will be used to characterize the sample. Should deviations from normality emerge, transformations will be applied, or non-parametric tests will be implemented and compared to parametric tests. Of note, while the researchers expect the groups to be balanced on baseline characteristics due to randomization, imbalances that occur by chance will be adjusted for in all analyses.

Missing Data Methods While every effort will be made to obtain complete data on every participant, some missing data is inevitable. The underlying mechanism, missing completely at random (MCAR), missing at random (MAR), or missing not at random (MNAR), will be evaluated prior to adjusting to minimize bias from missing data. The assumption of MAR, which supports the use of multiple imputation by chained equations will be evaluated by regressing an indicator of missingness on known covariates using multiple logistic regression. The analytic methods proposed will take advantage of all available data. Baseline characteristics will be compared among participants with and without complete data, recognizing that statistical power associated with finding true statistical differences may be limited. To assess potential biases, a comparison of response rates will be included. If missing data is minimal (<5%) and can be considered MAR or MCAR, then the primary hypothesis will be tested using the complete observed data.

Aim 1 Analyses The primary aim of this study is to examine the effects of consuming pistachios on inflammatory response (measured by creatine kinase, C-reactive protein, cortisol, Interleukin-8, tumor necrosis factor-alpha, copper-zinc superoxide dismutase, and glutathione peroxidase concentrations) and lean body mass (measured by DXA). Changes from baseline, three months, and six months in each outcome in response to dietary intervention will rely on linear mixed effects models that include random effects for participants and fixed effects for diet and time (baseline run-in, three months, six months). Model assumptions will be assessed, both quantitatively and visually, using goodness-of-fit statistics and diagnostic plots. Additional secondary analyses will include general linear modeling, where difference scores (six months timepoint minus baseline, six months timepoint minus three months timepoint, three months timepoint minus baseline) will be regressed on dietary intervention groups.

Potential Impact/Relevance to Scientific Discovery This study could provide a simple, healthy way for recreationally active individuals to decrease inflammation and improve body composition. The fact that pistachios are a whole food and not a supplement, lends itself to a positive approach to health and wellness. Researching the benefits pistachios could have in healthy, active adults, provides another avenue to encourage individuals to consume more of this healthy food.