Summary of study ST001607

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 PR001032. The data can be accessed directly via it's Project DOI: 10.21228/M89D63 This work is supported by NIH grant, U2C- DK119886.

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Study IDST001607
Study TitleGenetic background shapes phenotypic response to diet for adiposity in the Collaborative Cross
Study TypeDiet challenge
Study SummaryDefined as chronic excessive accumulation of adiposity, obesity results from long-term imbalance between energy intake and expenditure. The mechanisms behind how caloric imbalance occurs are complex and influenced by numerous biological and environmental factors, especially genetics and diet. Population-based diet recommendations have had limited success partly due to the wide variation in physiological responses across individuals when they consume the same diet. Thus, it is necessary to broaden our understanding of how individual genetics and diet interact relative to the development of obesity for improving weight loss treatment. To determine how consumption of diets with different macronutrient composition alter adiposity and other obesity-related traits in a genetically diverse population, we analyzed body composition, metabolic rate, clinical blood chemistries, and circulating metabolites in 22 strains of mice from the Collaborative Cross (CC), a highly diverse recombinant inbred mouse population, before and after 8 weeks of feeding either a high protein or high fat high sucrose diet. At both baseline and post-diet, adiposity and other obesity-related traits exhibited a broad range of phenotypic variation based on CC strain; diet-induced changes in adiposity and other traits also depended largely on CC strain. In addition to estimating heritability at baseline, we also quantified the effect size of diet for each trait, which varied by trait and experimental diet. Our findings identified CC strains prone to developing obesity, demonstrate the genotypic and phenotypic diversity of the CC for studying complex traits, and highlight the importance of accounting for genetic differences when making dietary recommendations.
Institute
USDA
DepartmentObesity and metabolism research unit
LaboratoryBennett's Lab
Last NameBennett
First NameBrian
Address430 West Health Sciences Dr. Davis, Ca, 95616
Emailbrian.bennett@usda.gov
Phone(530) 754-4417
Submit Date2020-11-05
Total Subjects202
Num Females202
Raw Data AvailableYes
Raw Data File Type(s).wiff
Analysis Type DetailLC-MS
Release Date2020-12-31
Release Version1
Brian Bennett Brian Bennett
https://dx.doi.org/10.21228/M89D63
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN002640
Analysis type MS
Chromatography type Normal phase
Chromatography system Waters Acquity UPLC
Column Luna Silica (150 x 2mm,3┬Ám)
MS Type ESI
MS instrument type QTRAP
MS instrument name ABI Sciex API 4000 QTrap
Ion Mode POSITIVE
Units micromolar

MS:

MS ID:MS002452
Analysis ID:AN002640
Instrument Name:ABI Sciex API 4000 QTrap
Instrument Type:QTRAP
MS Type:ESI
MS Comments:Analytes were monitored using electrospray ionization in positive-ion mode with multiple reaction monitoring (MRM) of precursor and characteristic production transitions as shown in MS_protocol.pdf. The parameters for the ion monitoring were as follows: spray voltage, 4.5 kV; curtain gas, 15; GS1, 60; GS2, 50; CAD gas, medium; Nitrogen (99.95% purity) was used as the source and collision gas. Integration and quantification of values was done using Analyst 1.6.2 software (AB SCIEX, Singapore). Standard linearity was calculated using linear regression model. Please see LC_protocol.pdf and MS_protocol.pdf for additional details.
Ion Mode:POSITIVE
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