Summary of Study ST001635
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 PR001044. The data can be accessed directly via it's Project DOI: 10.21228/M8RD7H This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST001635 |
Study Title | Higher Dietary Carbohydrates Detrimentally Impact Obesity-Associated Breast Cancer Chemoresistance |
Study Type | Untargeted UPLC-MS Metabolomics Analysis |
Study Summary | This study is a part of an ongoing project entitled, “Higher Dietary Carbohydrates Detrimentally Impact Obesity-Associated Breast Cancer Chemoresistance.” (See project). Untargeted LCMS metabolomics analysis was performed to identify metabolic markers of nutritionally dependent and obesity-associated chemoresistance in female C57LB/6 mice fed either a high carbohydrate plus high fat (HCHF) diet or a high protein diet (HP). Mice were fed 15 weeks on either diet, then injected with a MMTV-Wnt-1 mouse mammary basal-like breast cancer cell line, for tumor formation up to 6 weeks. Three mice on either diet were treated for 24 hr with Doxorubicin or Saline as a vehicle control. All samples were analyzed in the positive mode for untargeted metabolomics analysis. Liver samples were selected for analysis because of an observation of fatty liver development in mice only on the HCHF diet after 15 weeks. Samples were extracted and analyzed by UPLS-MS analysis using Q-Exactive HFX mass spectrometer. |
Institute | University of North Carolina at Chapel Hill |
Department | Nutrition |
Laboratory | Metabolomics and Exposome Laboratory, Nutrition Research Institute, UNC Chapel Hill |
Last Name | Sumner |
First Name | Susan |
Address | 500 Laureate Way, Nutrition Research Institute, UNC Chapel Hill |
susan_sumner@unc.edu | |
Phone | (919) 622-4456 |
Submit Date | 2020-12-18 |
Num Groups | 6 |
Total Subjects | 193 |
Num Females | 175 |
Study Comments | The number of groups includes the QC samples |
Raw Data Available | Yes |
Raw Data File Type(s) | raw(Thermo) |
Analysis Type Detail | LC-MS |
Release Date | 2021-12-18 |
Release Version | 1 |
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Project:
Project ID: | PR001044 |
Project DOI: | doi: 10.21228/M8RD7H |
Project Title: | Higher Dietary Carbohydrates Detrimentally Impact Obesity-Associated Breast Cancer Chemoresistance |
Project Type: | C18 Reversed-Phase Broad Spectrum Metabolomics |
Project Summary: | Epidemiologic and experimental studies have established that obesity is an important risk and/or prognostic factor for most cancer types, but the mechanisms underlying the obesity-cancer link have not been clearly elucidated. The goal of this project is to address questions on the mechanisms of (and potential solutions to) obesity that results directly from diet exposures and the associated chemotherapeutic resistance. In a mouse model of basal-like breast cancer (BLBC), we compared a high protein (HP) diet to a high carbohydrate plus high fat (HCHF) diet and determined their comparative impacts on body weight, fatty liver development, tumor growth acute chemotherapy response to doxorubicin, profiled 80 inflammatory markers and performed untargeted metabolomics. Briefly, female C57BL/6 mice were fed either the HP or HCHF diet for 15 weeks, orthotopically implanted with MMTV-Wnt-1 mammary cells for tumor formation and growth (up to six weeks), then treated with a single dose of doxorubicin (or saline vehicle control) for 24 hours prior to study completion. Mice were euthanized and biospecimens were collected at the following study endpoints: 1-baseline (following 1-week quarantine); 2-after the 15 weeks of differential diet exposure; 3-after 5 weeks and 5.5 weeks of tumor growth; and 4-after 24 hours of treatment, corresponding to 6 weeks of tumor growth. Untargeted metabolomics analysis was performed by UPLC high resolution mass spectrometry (LCMS) on liver samples at the four study endpoints described above. Liver tissues were sectioned into three discrete lobes (right, left and median=caudate + quadrate) prior to analysis. |
Institute: | University of North Carolina at Chapel Hill |
Department: | Nutrition |
Laboratory: | Metabolomics and Exposome Laboratory, Nutrition Research Institute, UNC Chapel Hill |
Last Name: | Stewart |
First Name: | Delisha |
Address: | 500 Laureate Way, Nutrition Research Institute, UNC Chapel Hill |
Email: | delisha_stewart@unc.edu |
Phone: | +1 (704) 250-5068 |