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Protocols & Methods
Reagents & Resources
Tissues & Samples
Conditions of Use
Data Usage Policy
Tracers in Metabolic Research
Isotope Tracers in Metabolic Research: 3-Part Webinar Series
Energy Expenditure Analysis
CalR: Indirect Calorimetry Analysis
Guidelines & Policies
MMPC Energy Expenditure Analysis Page
The MMPC Energy Expenditure analysis page uses multiple linear regression analysis to assess the impact of covariates (e.g. Mass) on energy expenditure. Please note the data must be in either comma separated (*.csv) or tab delimited format (*.txt). The program expects to have at least one EE variable (the response variable), one Grouping variable (e.g. Strain) and one Covariate (e.g. Mass). The file can include as many covariates as you want but will only analyze one at a time. In addition, the current version will not work if your grouping variable has more than two groups to analyze.
Please use the following text when acknowledging the MMPC EE Analysis page in manuscripts:
'The EE ANCOVA analysis done for this work was provided by the NIDDK Mouse Metabolic Phenotyping Centers (MMPC,
) using their Energy Expenditure Analysis page (
) and supported by grants DK076169 and DK115255'
Identification of Body Fat Mass as a Major Determinant of Metabolic Rate in Mice. Karl J. Kaiyala, Gregory J. Morton, Brian G. Leroux, Kayoko Ogimoto, Brent Wisse and Michael W. Schwartz.
Diabetes 2010 59:1657-1666
Toward a More Complete (and Less Controversial) Understanding of Energy Expenditure and Its Role in Obesity Pathogenesis Karl J. Kaiyala and Michael W. Schwartz.
Diabetes 2011 60:17-23
Mathematical Model for the Contribution of Individual Organs to Non-Zero Y-Intercepts in Single and Multi-Compartment Linear Models of Whole-Body Energy Expenditure Karl J. Kaiyala.
PLOS One 2014 9(7)
The file format accepted is a simple text file with rows and columns. The first row is the header that defines what data is in each column and all following rows are the data for each animal. Columns can be separated by either a comma (,) or a tab. Comma separated formats expect a file extension of .CSV while tab delimited files should have a file extension of .TXT. In MS Excel, you can 'Save As' a comma or tab separated file to generate a text file.
Not Sure How to Use the Page?
Below are instruction modules to explain the problem and how to use the web page.
Why is it invalid to normalize Energy Expenditure by Total or Lean Body Mass?
Introduction to Analysis of Covariance to Adjust Energy Expenditure for Body Size.
Using the MMPC Web Tool to Revisit a 'Hypometabolic' Phenotype.
Analyzing Data That Involve a Significant Group by Body Mass Interaction.
Details of statistical formulas.
Example files used in the modules:
MyostatinKOdata.csv (Module 3 example)
CCK1RKOdata.csv (Module 4 example)
Please browse to the Energy Expenditure file you would like to analyze and click submit:
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Please acknowledge all posters, manuscripts or scientific materials that were generated in part or whole using funds from the MMPC using the following text:
Financial support for this work was provided by the NIDDK Mouse Metabolic Phenotyping Centers (National MMPC, RRID:SCR_008997,
) under the MICROMouse Program, grants DK076169.
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Warranty disclaimer and copyright notice
THE NATIONAL MMPC MAKES NO REPRESENTATION ABOUT THE SUITABILITY OR ACCURACY OF THE SOFTWARE OR DATA FOR ANY PURPOSE, AND MAKES NO WARRANTIES, EITHER EXPRESS OR IMPLIED, INCLUDING MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE OR DATA WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS, OR OTHER RIGHTS. THE SOFTWARE AND DATA ARE PROVIDED "AS IS".
The Mouse Metabolic Phenotyping Centers (MMPC) is an NIDDK funded consortium and adheres to the
NIH Data Sharing Policy
MMPC clients make their data freely available whereby MMPC users may freely build upon, enhance and reuse those data for any purpose without restriction. Scholarly citation norms must be followed for content reuse. Please acknowledge the MMPC using the following text: 'The MMPC data used in this manuscript was supported by the NIDDK National Mouse Metabolic Phenotyping Centers (National MMPC, RRID:SCR_008997,
)'. To cite specific MMPC centers, please use the appropriate RRID available from the MMPC website (
Please note that the acknowledgment text includes a Research Resource Identifier (RRID) for the MMPC CU and Centers. Reproducibility is one of the corner stones of effective, open and transparent biomedical published research. However, too often, resources (e.g. model organisms, antibodies, and tools) are not reported with adequate detail to ensure others can replicate or expand upon the published results. The Research Resource Identification Initiative (#RII) seeks to change these limitations in reporting by the use of unique Research Resource Identifiers (RRIDs). This initiative is designed to encourage authors to provide identification of the types of resources used in their research by adding a globally unique accession number to the resources described in the their manuscripts. These identifiers, called RRIDs, will allow authors to cite the resources that they use in their manuscripts. RRIDs allow for easy tracking of all papers that have used the same resource making it easy to access how the same resources works in other scenarios.
It is expected that MMPC users follow scholarly citation norms, giving credit to fellow scholars when accessing/using protocols and data, including data derived by MMPC (such as summary data) and any plots, tables or screenshots depicting those data.
It is possible for invalid or incomplete results to be presented on the MMPC web site due to software bugs, data problems, or artifacts of human error. Data sets are not necessarily static; we reserve the right to post corrections and updates as needed.
Data contributors and data users may not use MMPC in any unlawful manner, or in any manner that could impair MMPC services, security or functionality. Automated usage (webcrawlers and similar) must observe each page's "meta robots" html tags and space requests by ≥ 2 seconds. We reserve the right to block any IP associated with what we consider to be excessive or abusive usage patterns, and/or to take any action we deem necessary.
The MMPC is a National Institutes of Health-sponsored resource that provides experimental testing services to scientists studying diabetes, obesity, diabetic complications, and other metabolic diseases in mice.
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