Summary of project PR000069
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000069. The data can be accessed directly via it's Project DOI: 10.21228/M8KS37 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Project ID: | PR000069 |
Project DOI: | doi: 10.21228/M8KS37 |
Project Title: | Effect of diet and age on ovarian metabolome |
Project Type: | Effects of Western diet on female reproductive function and aging, including effects associated with oxidative stress pathways |
Project Summary: | The long-term goal of this research is to understand the effects of the Western diet on female reproductive function and aging, to characterize the resultant health consequences and to determine the value of dietary intervention. In the past 100 years, dietary patterns in Western societies have changed remarkably. The consumption of saturated fatty acids (SFA), omega-6 (n-6) unsaturated fatty acids and refined carbohydrates has risen sharply, whereas consumption of fruits, vegetables and omega-3 fatty acids (n-3) has declined. This dietary pattern is associated with post-prandial oxidative stress and inflammation, both of which are implicated in numerous disease processes. The key rationale for this pilot grant application stems from studies reporting a decline in reproductive function in women that is coincident with changing patterns of Western diet, observations of Western diet-associated infertility in rodents, and adverse effects of diet on ovarian reserve in monkeys. Recently, ovarian-metabolomic profiling has been used to characterize oxidative and inflammatory pathways in the non-diseased ovary. Using this technology, it has also been reported that aging women, and those with reduced ovarian reserve, have altered follicular fluid levels of carbohydrates and reproductive hormones compared to normal ovarian reserve women. Therefore, this methodology is ideal for determining differences in global metabolomic profiles among ovaries derived from subjects of differing nutritional backgrounds. The proposed study will compare the effects of chronic exposure to a typical Western diet with a prudent diet on ovarian metabolome and metabolites associated with oxidative stress pathways. The central hypothesis is that ovaries from monkeys exposed to markedly divergent nutritional backgrounds will differentiate from each other with respect to their metabolome and with respect to metabolites indicative of oxidative stress. We will address this with three Specific Aims designed to: 1) determine whether the metabolome of ovarian tissue from cynomolgus monkeys (Macaca fascicularis) differentiates by nutritional background; 2) determine if metabolomic profiles of ovarian tissue will differentiate by age in pedigreed, known-age domestic vervet monkeys (Chlorocebus aethiops sabaeus) and 3) investigate whether the effects of diet or age on ovarian tissue metabolome is reflected by changes in serum metabolites. Archived ovarian tissue from two well-established nonhuman primate models of womens health (Macaca fascicularis and Chlorocebus aethiops sabaeus) will be used for this study. |
Institute: | Wake Forest University |
Department: | Department of Pathology |
Last Name: | Appt |
First Name: | Susan |
Address: | Medical Center Blvd., Winston-Salem, NC 27157 |
Email: | sappt@wakehealth.edu |
Phone: | 336-716-1637 |
Summary of all studies in project PR000069
Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
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ST000072 | Effect of diet and age on ovarian metabolome (via tissue) | Macaca fascicularis | University of North Carolina | MS* | 2015-07-31 | 1 | 30 | Uploaded data (3.3M) |
ST000073 | Effect of diet and age on ovarian metabolome (serum metabolome compared to ovarian) | Macaca fascicularis | University of North Carolina | MS | 2015-07-31 | 1 | 30 | Uploaded data (3.4M) |