Summary of Study ST003066

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 PR001912. The data can be accessed directly via it's Project DOI: 10.21228/M8KB0M This work is supported by NIH grant, U2C- DK119886.

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Study IDST003066
Study TitleHeritability of RBC metabolites: baseline correlation of metabolites and markers of RBC health and stability
Study SummaryThe goal of this study was to examine the genetic heritability of metabolites and to identify metabolites, present immediately after blood draw, that were highly correlated with red blood cells (RBCs) ex vivo survival. Extreme longevity in humans is known to be a heritable trait. In a well-established twin erythrocyte metabolomics and proteomics database, we identified the longevity factor spermidine and a cluster of correlated molecules with high heritability estimates. Erythrocyte spermidine is 82% heritable and significantly correlated with 59 metabolites and 22 proteins. Thirty-eight metabolites and 19 proteins were >20% heritable, with a mean heritability of 61% for metabolites and 49% for proteins. Correlated metabolites are concentrated in energy metabolism, redox homeostasis, and autophagy pathways. Erythrocyte mean cell volume (MCV)−an established heritable trait−was consistently negatively correlated with the top 25 biomolecules most strongly correlated with spermidine, indicating that smaller MCVs are associated with higher concentrations of spermidine and correlated molecules.
Institute
University of Iowa
Last NameRaife
First NameThomas
Address1685 Highland Ave. Madison WI 53705
Emailtraife@wisc.edu
Phone(608)-265-8492
Submit Date2024-02-02
Analysis Type DetailOther
Release Date2024-02-28
Release Version1
Thomas Raife Thomas Raife
https://dx.doi.org/10.21228/M8KB0M
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Genotype
SA3319921699483DZ
SA3319931699484DZ
SA3319941699481DZ
SA3319951699475DZ
SA3319961699482DZ
SA3319971699480DZ
SA3319981699476DZ
SA3319991699478DZ
SA3320001699477DZ
SA3320011699479DZ
SA3320021699504MZ
SA3320031699503MZ
SA3320041699501MZ
SA3320051699500MZ
SA3320061699502MZ
SA3320071699510MZ
SA3320081699509MZ
SA3320091699499MZ
SA3320101699508MZ
SA3320111699507MZ
SA3320121699506MZ
SA3320131699505MZ
SA3320141699493MZ
SA3320151699488MZ
SA3320161699489MZ
SA3320171699487MZ
SA3320181699486MZ
SA3320191699485MZ
SA3320201699490MZ
SA3320211699491MZ
SA3320221699496MZ
SA3320231699497MZ
SA3320241699495MZ
SA3320251699494MZ
SA3320261699492MZ
SA3320271699498MZ
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