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- All Subjects: Diet
- All Subjects: Hypertension
- Creators: Vega-Lopez, Sonia
- Creators: Sweazea, Karen
and kidney disease. However, the impact of short term high fat intake on the etiology of kidney disease has not been well-studied. Therefore, this study examined the impact of a six week HFD (60% fat) on kidney structure and function in young male Sprague-Dawley rats. Previous studies have shown that these animals develop indices of diabetes compared to rats fed a standard rodent chow (5% fat) for six weeks. The hypothesis of this study is that six weeks of HFD will lead to early stages of kidney disease as evidenced by morphological and functional changes in the kidney. Alterations in morphology were determined by measuring structural changes in the kidneys (changes in mass, fatty acid infiltration, and structural damage). Alterations in kidney function were measured by analyzing urinary biomarkers of oxidative RNA/DNA damage, renal tissue lipid peroxidation, urinary markers of impaired kidney function (urinary protein, creatinine, and hydrogen peroxide (H2O2)), markers of inflammation (tumor necrosis factor alpha (TNFα) and interleukin 6 (IL-6)), as well as cystatin C, a plasma biomarker of kidney function. The results of these studies determined that short term HFD intake is not sufficient to induce early stage kidney disease. Beyond increases in renal mass, there were no significant differences between the markers of renal structure and function in the HFD and standard rodent chow-fed rats.
Reducing the amount of error and introduced data variability increases the accuracy of Western blot results. In this study, different methods of normalization for loading differences and data alignment were explored with respect to their impact on Western blot results. GAPDH was compared to the LI-COR Revert total protein stain as a loading control. The impact of normalizing data to a control condition, which is commonly done to align Western blot data distributed over several immunoblots, was also investigated. Specifically, this study addressed whether normalization to a small subset of distinct controls on each immunoblot increases pooled data variability compared to a larger set of controls. Protein expression data for NOX-2 and SOD-2 from a study investigating the protective role of the bradykinin type 1 receptor in angiotensin-II induced left ventricle remodeling were used to address these questions but are also discussed in the context of the original study. The comparison of GAPDH and Revert total protein stain as a loading control was done by assessing their correlation and comparing how they affected protein expression results. Additionally, the impact of treatment on GAPDH was investigated. To assess how normalization to different combinations of controls influences data variability, protein data were normalized to the average of 5 controls, the average of 2 controls, or an average vehicle and the results by treatment were compared. The results of this study demonstrated that GAPDH expression is not affected by angiotensin-II or bradykinin type 1 receptor antagonist R-954 and is a less sensitive loading control compared to Revert total protein stain. Normalization to the average of 5 controls tended to reduce pooled data variability compared to 2 controls. Lastly, the results of this study provided preliminary evidence that R-954 does not alter the expression of NOX-2 or SOD-2 to an expression profile that would be expected to explain the protection it confers against Ang-II induced left ventricle remodeling.
Methods: Mexican-born women (n=57, 41±7 years) residing in the U.S. for more than 1 year self-reported food security status, monthly fast-food frequency, and their perception of fruit, vegetables, and low-fat product availability within their neighborhood via survey. Diet was assessed using the Southwest Food Frequency Questionnaire to estimate intake of fruit, vegetables, salty snacks, sugar, and healthy eating index (HEI)-2015 score. Bivariate correlations assessed the relationships between study variables. Independent samples t-tests compared dietary outcomes between women classified as food secure (n=41; high or marginal food security) and food insecure (n=16; low or very low food security). A moderation analysis assessed the effect of the perception of the neighborhood food environment on the relationship between food security and HEI-2015 score.
Results: Fifty four percent of participants worked full time and 42% had a monthly household income <$2,000. Time residing in the U.S. was 20±9 years. Relative to women classified as food secure, participants experiencing food insecurity had lower HEI-2015 (61±8 vs. 66±6; p=0.03). Albeit not significantly different, women experiencing food insecurity reported lower intake of fruit (236±178 vs. 294±239 g), vegetables (303±188 vs. 331±199 g), and salty snacks (6±5 vs. 8±10 g), as well as higher intake of sugar (99±55 vs. 96±56 g) and fast food (2.5±2.5 vs. 1.8±1.7 times per month); p>0.05 for all. Among women experiencing food insecurity, there was a trend for a lower perception of neighborhood fruit, vegetable and low-fat product availability being associated with lower HEI-2015 scores (54±6) relative to those who perceived moderate (63±6) or high (65±8) neighborhood availability of those foods (p=0.07).
Conclusions: HEI-2015 scores were associated with participants’ food security status. Findings suggest a need for better understanding of how neighborhood food availability may affect diet quality among Mexican immigrant women experiencing food insecurity.
‘Healthy’ foods always seem like the best choice, but what does it really mean to be healthy? A ‘healthy diet’ can mean any number of things depending on who you ask and where you look. Media provides an endless sea of tips, tricks, and diets for ‘eating healthy’. Oxford defines health as a state of physical, mental, and social well-being with the absence of disease and infirmity; and healthy as indicative of, conducive to, or promoting good health1. It is easy to get caught up in the excitement of fad diets, but maintaining a healthy eating pattern can be quite simple when put into practice.