Summary of Study ST002697

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR001669. The data can be accessed directly via it's Project DOI: 10.21228/M8ZQ5Q This work is supported by NIH grant, U2C- DK119886.


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.

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Study IDST002697
Study TitleEmploying Hindlimb Unloading Model for The Identification of Serum Biomarkers Associated with Cardiovascular and Skeletal Muscle Deconditioning.
Study SummaryMicrogravity and prolonged periods of inactivity cause a variety of diseases, including skeletal muscle mass loss and weakening as well as cardiovascular deconditioning. The primary causes of the inadequate preventative measures for these deconditionings are the lack of biomarkers and unknown underlying mechanisms of cardiovascular and skeletal muscle deconditioning in these conditions. Here, we used a hindlimb unloading (HU) mouse model that replicates astronauts in space and bedridden patients to first evaluate cardiovascular and skeletal muscle performance. Serum samples from these mice were used to identify new biomarkers using metabolomic and proteomic approaches. Three weeks of unloading resulted in alterations in cardiovascular system function in C57/Bl6 mice, as measured by changes in mean arterial pressure and heart weight. Unloading for three weeks also altered skeletal muscle function, resulting in a decrease of grip strength in HU mice, as well as skeletal muscle atrophy, as shown by a drop in muscle mass. A two-week recovery time from the unloading condition partially reversed these alterations, stressing the importance of the recovery process.
Sharjah Institute for Medical Research
Last NameFacility
First NameCore
AddressM32, SIMR, College of Pharmacy, Health Sciences, University of Sharjah, Sharjah, UAE, Sharjah, 000, United Arab Emirates
Phone+971 6 5057656
Submit Date2023-05-02
Raw Data AvailableYes
Raw Data File Type(s)d
Analysis Type DetailLC-MS
Release Date2023-06-02
Release Version1
Core Facility Core Facility application/zip

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Combined analysis:

Analysis ID AN004371
Analysis type MS
Chromatography type Reversed phase
Chromatography system Bruker Elute
Column Hamilton Intensity Solo 2 C18 (100 x 2.1 mm, 1.8 um)
MS instrument type QTOF
MS instrument name Bruker timsTOF
Units AU


MS ID:MS004119
Analysis ID:AN004371
Instrument Name:Bruker timsTOF
Instrument Type:QTOF
MS Comments:The MS analysis was performed using a TimsTOF (Bruker, Darmstadt, Germany) with Apollo II electrospray ionization (ESI) source. The drying gas was set to flow at 10 L/min and the drying temperature to 220C and the nebulizer pressure to 2.2 bar. The capillary voltage was 4500 V and the end plate offset 500V. For metabolomics the scan range was 20-1300 m/z. The collision energy was set to 20 eV, the cycle time to 0.5 seconds with a relative minimum intensity threshold of 400 counts per thousand and target intensity of 20,000. Sodium formate was injected as an external calibrant in the first 0.3 minutes of each LC-MS/MS run. MetaboScape 4.0 software was used for metabolite processing and statistical analysis (Bruker Daltonics). The following parameters for molecular feature identification and "bucketing" were set in the T-ReX 2D/3D workflow: For peak detection, a minimum intensity threshold of 1,000 counts is required, as well as a minimum peak duration of 7 spectra, with feature quantification determine using peak area. The file masses were recalibrated based on the external calibrant injected between 0-0.3 min.