Matching Items (4)
Filtering by
- Creators: Whisner, Corrie
Description
Turmeric is the bright yellow root that has been used as a spice, healing remedy, and textile dye. Previous studies have suggested that the most active ingredient in turmeric, curcumin, could reduce serum cholesterol concentration. However, most of these studies were conducted on animals and not many have been done on controlled human trials. This randomized, double-blinded, controlled crossover study evaluates the effects of turmeric on blood cholesterol concentrations including total cholesterol, LDL cholesterol, HLD cholesterol, and triglycerides. In this study, eight healthy participants between the ages of 18 and 45 were randomized to receive either 500mg capsules of turmeric or placebo for a period of three weeks. Following a wash-out period of five weeks, all participants were crossed over to the alternative treatment for another three weeks. After comparing the 3 week treatment and placebo phases, turmeric showed no significant effect on serum lipid concentrations. Furthermore, a slight increase in total cholesterol concentrations was observed following the turmeric phase when compared to the placebo phase.
ContributorsDo, Ngoc Bich Thi (Author) / Johnston, Carol (Thesis director) / Whisner, Corrie (Committee member) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Turmeric, scientifically known as Curcuma longa, is a tropical plant that is most often consumed in India.1 The rhizome of the plant is dried and then ground into a fine, vibrant yellow powder. In addition to its function as a spice, turmeric is also used in traditional Ayervedic medicine due to its unique medical properties. These unique properties are attributed to the three major constituents of turmeric: curcumin, α-isocurcumin, and β-isocurcumin.2 Curcumin (Diferuloylmethane; C21H20O6), makes up 5% of turmeric by weight, and is the most prominent active ingredient within the turmeric root. Perhaps the most intriguing characteristic about curcumin is its ability to modulate targets such as, but not limited to, transcription factors, enzymes, apoptosis genes, and growth factors.1 Modern medical research has determined curcumin to be a viable treatment and prevention method for disease such as type II diabetes mellitus, rheumatoid arthritis, liver cirrhosis, and certain cancers. However, research on turmeric’s effects on gastrointestinal health is significantly lacking. This randomized, double-blind, cross-over trial looked to see if supplemental turmeric (500 mg as dried root powder) would significantly raise breath hydrogen emission (BHE) and reduce small bowel transit time (SBTT) in 8 female adults who were suffering from chronic constipation. Although supplemental turmeric did not significantly impact BHE or SBTT, the number of bowel movements greatly increased during turmeric intervention.
ContributorsUgarte, Noel (Author) / Johnston, Carol (Thesis director) / Whisner, Corrie (Committee member) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Background Osteoporosis is a major health problem that can occur in people of all ages. It can stem from poor bone health during childhood and adolescence. It hinders independent living, impacts social living, reduces participation in physical activity, and increases risk of fractures and physical pain. In addition to age, gender, race, physical activity and diet, sleep is considered to be a risk factor in the development of osteoporosis in both the young and elderly population. Bone-specific alkaline phosphatase, a bone formation biomarker was measured to determine osteoporotic risk while an actigraphy device was used to measure sleep efficiency in college students. Objective The purpose of this study is to evaluate the relationship between sleep efficiency and bone-specific alkaline phosphatase levels. Recognition of any association may help in understanding how sleep is related to bone health. Methods Twenty-seven participants were recruited with the use of flyers distributed on campus and in residential halls, social media, email, and student newsletters. Bone-specific alkaline phosphatase biomarker was measured using human specific enzyme-linked immunosorbent assay (ELISA). Sleep data were collected from participants who wore ActiWatch for 7 days and completed a 7-night sleep diary. Linear and multiple regression analysis were performed to evaluate association between B-ALP (outcome) and sleep efficiency while adjusting for covariates (age, BMI, race, gender). Results and Conclusions Overall, there was no significant association between sleep efficiency and bone-specific alkaline phosphatase. Gender, however, showed a significant influence on the levels of bone-alkaline phosphatase. This is supported by a study that found higher bone turnover marker in males than in females. The result from the study could be due to limitations such as small sample size. More participants may provide a better comparison or association between variables. Genetic factors are believed to influence the outcome of the study as genetics can influence rate of bone loss or formation. Findings may be beneficial for public health and policy initiatives and allow health / nutrition educators to more adequately encourage proper habits such as physical activity, healthy diet and sufficient sleep for good bone health.
ContributorsLadipo, Evelyn Irawola (Author) / Whisner, Corrie (Thesis director) / Mahmood, Tara (Committee member) / School of Life Sciences (Contributor) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Machine Learning-based Analysis of the Relationship Between the Human Gut Microbiome and Bone Health
Description
The Human Gut Microbiome (GM) modulates a variety of structural, metabolic, and protective functions to benefit the host. A few recent studies also support the role of the gut microbiome in the regulation of bone health. The relationship between GM and bone health was analyzed based on the data collected from a group of twenty-three adolescent boys and girls who participated in a controlled feeding study, during which two different doses (0 g/d fiber and 12 g/d fiber) of Soluble Corn Fiber (SCF) were added to their diet. This analysis was performed by predicting measures of Bone Mineral Density (BMD) and Bone Mineral Content (BMC) which are indicators of bone strength, using the GM sequence of proportions of 178 microbes collected from 23 subjects, by building a machine learning regression model. The model developed was evaluated by calculating performance metrics such as Root Mean Squared Error, Pearson’s correlation coefficient, and Spearman’s rank correlation coefficient, using cross-validation. A noticeable correlation was observed between the GM and bone health, and it was observed that the overall prediction correlation was higher with SCF intervention (r ~ 0.51). The genera of microbes that played an important role in this relationship were identified. Eubacterium (g), Bacteroides (g), Megamonas (g), Acetivibrio (g), Faecalibacterium (g), and Paraprevotella (g) were some of the microbes that showed an increase in proportion with SCF intervention.
ContributorsKetha Hazarath, Pravallika Reddy (Author) / Bliss, Daniel (Thesis advisor) / Whisner, Corrie (Committee member) / Dasarathy, Gautam (Committee member) / Arizona State University (Publisher)
Created2020