Filtering by
- All Subjects: Obesity
- Creators: School of Molecular Sciences
- Creators: Buetow, Kenneth
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
Over 40% of adults in the United States are considered obese. Obesity is known to cause abnormal metabolic effects and lead to other negative health consequences. Interestingly, differences in metabolism and contractile performance between obese and healthy weight individuals are associated with differences in skeletal muscle fiber type composition between these groups. Each fiber type is characterized by unique metabolic and contractile properties, which are largely determined by the myosin heavy chain isoform (MHC) or isoform combination that the fiber expresses. In previous studies, SDS-PAGE single fiber analysis has been utilized as a method to determine MHC isoform distribution and single fiber type distribution in skeletal muscle. Herein, a methodological approach to analyze MHC isoform and fiber type distribution in skeletal muscle was fine-tuned for use in human and rodent studies. In the future, this revised methodology will be implemented to evaluate the effects of obesity and exercise on the phenotypic fiber type composition of skeletal muscle.
Seven human subjects with body mass indices (BMIs) ranging from 19.4 kg/ m2 to 26.7 kg/ m2 and six human subjects with BMIs ranging from 32.1 kg/ m2 to 37.6 kg/ m2 were recruited and subjected to 45-minute bouts of acute exercise to look at the changes in the plasma concentration of the dopamine metabolite homovanillic acid (HVA) in response to acute physical activity. Plasma HVA concentration was measured before exercise and during the last 10 minutes of the exercise bout via competitive ELISA. On average the optical density (OD) of the samples taken from lean subjects decreased from 0.203 before exercise to 0.192 during exercise, indicating increased plasma HVA concentration. In subjects with obesity OD increased from 0.210 before exercise to 0.219 during exercise, indicating reduced plasma HVA concentration. These differences in OD were not statistically significant. Between the lean group and the group with obesity no significant difference was observed between the OD of the plasma samples taken before exercise, but a significant difference (p = 0.0209) was observed between the ODs of the samples taken after exercise. This indicated that there was a significant difference between the percent changes in OD between the lean group and the group with obesity, which suggested that there may be a body weight-dependent difference in the amount of dopamine released in response to exercise. Because of the lack of significance in the changes in OD within the lean group and the group with obesity the results of this study were insufficient to conclude that this difference is not due to chance, but further investigation is warranted.
Since 1975, the prevalence of obesity has nearly tripled around the world. In 2016, 39% of adults, or 1.9 billion people, were considered overweight, and 13% of adults, or 650 million people, were considered obese. Furthermore, Cardiovascular disease remains to be the leading cause of death for adults in the United States, with 655,000 people dying from related conditions and consequences each year. Including fiber in one’s dietary regimen has been shown to greatly improve health outcomes in regards to these two areas of health. However, not much literature is available on the effects of corn-based fiber, especially detailing the individual components of the grain itself. The purpose of this preliminary study was to test the differences in influence on both LDL-cholesterol and triglycerides between treatments based on whole-grain corn flour, refined corn flour, and 50% refined corn flour + 50% corn bran derived from whole grain cornmeal (excellent fiber) in healthy overweight (BMI ≥ 25.0 kg/m2) adults (ages 18 - 70) with high LDL cholesterol (LDL ≥ 120mg/dL). 20 participants, ages 18 - 64 (10 males, 10 females) were involved. Data was derived from blood draws taken before and after each of the three treatments as well as before and after each treatment’s wash out periods. A general linear model was used to assess the effect of corn products on circulating concentrations of LDL-cholesterol and triglycerides. From the model, it was found that the whole-grain corn flour and the 50% refined corn flour + 50% corn bran drive from whole grain cornmeal treatments produced a higher, similar benefit in reductions in LDL-cholesterol. However, the whole grain flour, refined flour, and bran-based fiber treatments did not influence the triglyceride levels of the participants throughout this study. Further research is needed to elucidate the effects of these fiber items on cardiometabolic disease markers in the long-term as well as with a larger sample size.
Obesity has reached epidemic proportions all around the world, and it has doubled in prevalence in both adults and children in over 70 countries from 1980 to 2015 (Afshin et al., 2017). Excessive weight gain in this proportion has been shown to negatively affect human cognition, reward neurocircuitry, stress responsiveness, and quality of life (Morris et al., 2015). Obesity is an example of a complex interaction between the environment (i.e., high-fat diets) and heredity (i.e., polygenic patterns of inheritance). The overconsumption of a high-fat diet (HFD) is an environmental factor that commonly induces weight gain (Hariri & Thibault, 2010). Two dietary-induced phenotypes have been observed in rats as a bimodal distribution of weight gain: obesity-prone (OP) and obesity-resistant (OR). Levin et al. (1997) investigated male and female HFD-fed Sprague-Dawley rats designated as OR when their weight gains were less than the heaviest chow-fed controls, and OP when their weight gains were greater than the heaviest chow-fed controls. OP rats showed greater weight gain, similar energy intake (EI), and similar feed efficiency (FE) compared to OR rats. Pagliassotti et al. (1997) designated male HFD-fed Wistar rats as OP and OR based on upper and lower tertiles of weight gain. OP rats displayed greater weight gain and EI than OR rats. These investigations highlight a predicament regarding rodent research in obesity: independent variables such as rat age, gender, strain, distribution of dietary macronutrients, and fatty acid composition of HFD and chow vary considerably, making it challenging to generalize data. Our experiment utilized outbred male Sprague-Dawley rats (5-6 weeks) administered a chow diet (19% energy from fat; 3.1 kcal/g) and a lard-based HFD (60% energy from fat; 5.24 kcal/g) over eight weeks. Separate rat populations were examined over three consecutive years (2017-2020), and independent obesogenic environmental variables were controlled. We investigated the persistence of weight gain, EI, and FE in HFD-fed rats inclusive of a population of designated OP and OR rats based on tertiles of weight gain. We define persistence as being p > 0.05. We hypothesize that the profiles (periodic data) of the dependent variables (weight gain, EI, FE) will be similar and persistent throughout the three separate years, but the magnitudes (cumulative data) of the dependent variables will differ. Our findings demonstrate that HFD, OP, and OR groups were persistent for periodic and cumulative weight gain, along with FE across the three consecutive independent years. Our findings also demonstrate impersistence for periodic EI in all groups, along with impersistence in cumulative EI for CHOW, OP, and OR groups. Therefore, our results allude to an inconsistent relationship between EI and weight gain, indicating that EI does not completely explain weight gain. Thus, the weakness between EI and weight gain relationship may be attributed to a polygenic pattern of inheritance, possibly signaling a weight setpoint regardless of EI.
Obesity has reached epidemic proportions all around the world, and it has doubled in prevalence in both adults and children in over 70 countries from 1980 to 2015 (Afshin et al., 2017). Excessive weight gain in this proportion has been shown to negatively affect human cognition, reward neurocircuitry, stress responsiveness, and quality of life (Morris et al., 2015). Obesity is an example of a complex interaction between the environment (i.e., high fat diets) and heredity (i.e., polygenic patterns of inheritance). The overconsumption of a high-fat diet (HFD) is an environmental factor that commonly induces weight gain (Hariri & Thibault, 2010). Two dietary-induced phenotypes have been observed in rats as a bimodal distribution of weight gain: obesity-prone (OP) and obesity-resistant (OR). Levin et al. (1997) investigated male and female HFD-fed Sprague-Dawley rats designated as OR when their weight gains were less than the heaviest chow-fed controls, and OP when their weight gains were greater than the heaviest chow-fed controls. OP rats showed greater weight gain, similar energy intake (EI), and similar feed efficiency (FE) compared to OR rats. Pagliassotti et al. (1997) designated male HFD-fed Wistar rats as OP and OR based on upper and lower tertiles of weight gain. OP rats displayed greater weight gain and EI than OR rats. These investigations highlight a predicament regarding rodent research in obesity: independent variables such as rat age, gender, strain, distribution of dietary macronutrients, and fatty acid composition of HFD and chow vary considerably, making it challenging to generalize data. Our experiment utilized outbred male Sprague-Dawley rats (5-6 weeks) administered a chow diet (19% energy from fat; 3.1 kcal/g) and a lard-based HFD (60% energy from fat; 5.24 kcal/g) over eight weeks. Separate rat populations were examined over three consecutive years (2017-2020), and independent obesogenic environmental variables were controlled. We investigated the persistence of weight gain, EI, and FE in HFD-fed rats inclusive of a population of designated OP and OR rats based on tertiles of weight gain. We define persistence as being p > 0.05. We hypothesize that the profiles (periodic data) of the dependent variables (weight gain, EI, FE) will be similar and persistent throughout the three separate years, but the magnitudes (cumulative data) of the dependent variables will differ. Our findings demonstrate that HFD, OP, and OR groups were persistent for periodic and cumulative weight gain, along with FE across the three consecutive independent years. Our findings also demonstrate impersistence for periodic EI in all groups, along with impersistence in cumulative EI for CHOW, OP, and OR groups. Therefore, our results allude to an inconsistent relationship between EI and weight gain, indicating that EI does not completely explain weight gain. Thus, the weakness between EI and weight gain relationship may be attributed to a polygenic pattern of inheritance, possibly signaling a weight setpoint regardless of EI.