Influence of Acute Nut Intake on the Effects of High Saturated Fat Meals in Obese Diabetic Women
Influence of Acute Nut Intake on the Effects of High Saturated Fat Meals in Obese Diabetic Women
Obesity is a multifactorial disease in which excess body fat accumulation increases the risk of other chronic diseases such as type 2 diabetes. The primary cause of obesity is the energy imbalance between calories consumed and expended. A balanced diet is essential for weight control and maintaining a healthy body weight. In this context, the intake of a high saturated fat meal (HSFM) plays a detrimental role, contributing to the development of obesity, type 2 diabetes, cancer, cardiovascular diseases, and exacerbating chronic inflammation. Additionally, it may induce metabolic endotoxemia and modulate profiles of circulating microRNAs. Therefore, due to the harmful health impacts of HSFM, studies on metabolomics and circulating microRNA levels could enhance understanding of the mechanisms of walnuts (Juglans regia) in the prevention and treatment of diseases. The aim of this study is to evaluate whether acute walnut supplementation attenuates the inflammatory response, oxidative stress, glycemic response, and regulates the metabolomic and circulating microRNA responses induced by HSFM in women with obesity and type 2 diabetes. The study will be randomized and crossover, including obese, non-insulin-dependent diabetic women aged over 18, without other comorbidities. In the first phase, participants will arrive at the clinic after a 10-hour fast and will be offered HSFM with or without 30g of walnuts. In the second phase, participants who did not receive walnuts will now receive them along with the HSFM and vice versa. Blood samples will be collected, and serum insulin, glucose, serum biomarkers of inflammation and oxidative stress will be evaluated. TNF-alpha, IL-6, IL-1β, IL-1ra, IL-8, and IL-10 will be measured by ELISA, and MDA by HPLC. Additionally, metabolomic and microRNA analyses will be conducted. Data analysis will be performed using JAMOVI v 2.3.21, with a significance level of 5%.
Obesity is a multifactorial disease in which excess body fat accumulation leads to negative health effects. It is considered a global public health problem, primarily due to its association with an increased risk of developing other non-communicable chronic diseases (NCDs). In Brazil, it is estimated that one quarter of the population is obese, making it an important risk factor for pathological aging.
The primary cause of obesity is the energy imbalance between calories consumed and expended, and its high prevalence is associated with physical inactivity and sedentary behavior. A balanced diet, consisting of natural and minimally processed foods, is known to be essential for weight control. However, in the current scenario, there has been a significant increase in the consumption of ultra-processed foods and a decrease in the intake of natural and minimally processed foods, resulting in a major impact on the prevalence of obesity.
Obesity is one of the most relevant risk factors for type 2 diabetes, a disease that is increasingly prevalent worldwide and is considered one of the health emergencies of the 21st century. Diabetes impacts morbidity and mortality and is a major risk factor for stroke, kidney dysfunction, cardiovascular diseases, vision loss, and neuropathy. Non-pharmacological strategies to control diabetes typically include nutritional intervention, regular physical activity, smoking cessation, and maintenance of a healthy body weight.
Acute intake of macronutrients can induce adverse responses even in healthy individuals, which may lead to chronic effects over time. In this context, the intake of a high saturated fat meal (HSFM) plays an important role, as chronic consumption of a HSFM is known to contribute to the development of obesity, type 2 diabetes, cancer, and cardiovascular diseases, as well as exacerbate chronic inflammation induced by insulin resistance and excess weight. Additionally, studies show that HSFM can also induce metabolic endotoxemia and modulate profiles of circulating microRNAs. MicroRNAs are non-coding RNA molecules about 22 nucleotides long that regulate gene expression at the post-transcriptional level by degrading mRNA or inhibiting the translation of target genes. Thus, microRNAs may contribute to the adverse effects of HSFM.
Given the detrimental health impacts of HSFM, studies have been conducted with acute supplementation of foods with anti-inflammatory and antioxidant properties, such as orange juice and green tea, in order to minimize the negative effects of unhealthy diets. A study conducted by our research group showed that acute supplementation of green tea inhibited the expression of 62 microRNAs induced by HSFM intake. Bioinformatics analysis revealed that these microRNAs regulated genes associated with TGF-beta, CARM1, RSK, and BMP pathways. Identifying these miRNAs and their molecular pathways can enhance understanding of the benefits of dietary compounds in health and disease.
Regular walnut consumption (Juglans regia) is associated with better cardiovascular health and insulin response, potentially due to regulation of insulin response by reducing the activity of carbohydrate-digesting enzymes. However, the literature on the effects of walnuts on inflammatory and antioxidant responses remains limited and inconclusive. Furthermore, there is a limited number of studies investigating the acute effects of walnuts, with some evidence of positive responses. In this regard, postprandial attenuation of insulin resistance, improved endothelial function, oxidative stress, and satiety have been demonstrated in some, but not all studies. Interestingly, Torabian et al. observed that acute walnut consumption increased plasma concentrations of polyphenols, enhanced total antioxidant capacity, and reduced plasma lipid peroxidation.
In addition to the limited evidence regarding the acute effects of walnuts, their effects in conjunction with HSFM on metabolomic and microRNA profiles have yet to be studied. Metabolomics was initially defined as the quantitative measurement of the dynamic multiparametric metabolic response of living systems to physiopathological stimuli or genetic modification. Thus, it directly reflects the phenotype of a particular biological system at the molecular metabolic level, allowing for the detection of alterations in previously unknown, uncharacterized, or rarely reported metabolites. Therefore, metabolomics can generate important knowledge about the mechanisms of walnuts in the prevention and treatment of diseases. The same applies to the study of microRNAs, which can assist in identifying intracellular pathways related to the beneficial effects of walnut consumption.
In light of this, this study will generate new evidence regarding the acute effects of walnuts in mitigating the adverse effects of HSFM. Moreover, mitigating the adverse effects of HSFM could yield significant benefits, particularly for patients with insulin resistance, such as the obese and diabetic.
To evaluate whether acute walnut supplementation (Juglans regia) attenuates inflammatory markers, oxidative stress, metabolomics, and circulating microRNAs induced by HSFM in obese and diabetic women.
The project has been approved by the Ethics Committee of the Faculty of Medicine of Botucatu. The study will be randomized and crossover, including women with obesity (body mass index [BMI] ≥ 30) and non-insulin-dependent diabetes aged over 18, recruited during outpatient consultations at the Faculty of Medicine of Botucatu. The exclusion criteria will include: use of dietary supplements, use of corticosteroids in the last 3 months, cancer, heart failure, kidney disease, liver disease, lung disease, neurological diseases, allergy to any component of HSFM or walnuts, and habitual walnut consumption (≤3 times per week) in the past month.
Sample size was estimated based on a previous study that showed a 60% reduction in IL-6 levels after HSFM meals associated with orange juice compared to the control group (without orange juice). Considering this reduction, a type 1 error of 5%, and a power of 90%, this study will include 15 individuals.
Patients who sign the Informed Consent Form (ICF) will be evaluated at two time points, separated by a minimum washout period of one week. In the first meeting, after a 10-hour fast, HSFM will be offered with or without 30g of walnuts. In the second, the condition will be swapped. This walnut dosage refers to the daily consumption recommendation for nuts proposed by various dietary guidelines. Simple randomization will be conducted by a nurse not involved in the research. HSFM will be provided in the hospital outpatient clinic, and patients will be required to consume the entire meal and all the walnuts. During the study protocol, patients will be advised to avoid walnut consumption for 2 weeks prior to the first study visit.
Blood samples will be collected at time points 0 (immediately before the meal), 15 min, 30 min, 60 min, and 150 min after the interventions. Serum insulin and glucose will be measured at time points 0 to 60 min, while serum biomarkers of inflammation, oxidative stress, circulating microRNAs, and metabolomics will be measured at time points 0 and 150 min. Additionally, the investigators will assess satiety using a visual analog scale (VAS) at all time points after the meal.
Metabolomic Analysis The analyses will be conducted using liquid chromatography on a Thermo Dionex Ultimate 3000 system coupled to a high-resolution and accurate mass Thermo QExactive Plus mass spectrometer with electrospray ionization operating in both positive and negative analysis modes.
Analysis of Circulating MicroRNAs After the extraction of RNAs, the investigators will utilize the human miRNA array 4.0 Affymetrix GeneChip® (ThermoFisher Scientific), following the manufacturer's instructions. This array contains 2,578 sets of probes for mature human miRNAs and 2,025 sets of probes for human pre-miRNAs (stem-loop). Probes to detect the presence of snoRNA and scaRNA (a total of 1,996) are also included in this array. The GeneChips will be scanned using the Affymetrix GeneChip G3000 7G scanner, set to capture signal intensities for the miRNAs. The raw intensity data will be imported into the Affymetrix Expression Console (v1.4.1.46) for signal preprocessing, which includes background correction using the robust multi-array average (RMA) algorithm, median polishing summarization of probes to obtain signal values, and quantile normalization across multiple arrays. A detection call for the strength of the miRNA signal will be performed using the Affymetrix "Detection Above Background" (DABG) algorithm, which generates a p-value for each signal above background probability. This method will follow the recommended protocol from the manufacturer. The analyses will be conducted at Monash in Hudson Genomics.
Statistical Analysis Data will be presented as mean and standard deviation when normally distributed, median and 25-75% percentiles when not normally distributed, or as percentages. To compare the two groups (with and without nuts), the investigators will use the Student's t-test for normally distributed data, the Mann-Whitney test for non-normally distributed data, and the Chi-square test for categorical variable comparisons. Additionally, the investigators will apply generalized estimating equations (GEE) to assess repeated measures. Data analyses will be conducted using JAMOVI v 2.3.21, with a significance level set at 5%.
Inclusion Criteria:
Exclusion Criteria:
raquel.ballarin@unesp.br5514997864806
n.vieira@unesp.br5514996536445
Botucatu, São Paulo 18.618-970, Brazil
raquel.ballarin@unesp.br14997864806