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LC‐FTMS‐based metabolomics reveals age‐ and gender‐related differences in marmosets
Author(s) -
Soltow Quinlyn A.,
Promislow Daniel E.L.,
Mansfield Keith G.,
Wachtman Lynn M.,
Jones Dean P.
Publication year - 2010
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.24.1_supplement.504.3
Subject(s) - marmoset , metabolomics , liquid chromatography–mass spectrometry , chemistry , tandem mass spectrometry , analyte , chromatography , principal component analysis , physiology , mass spectrometry , biology , computer science , paleontology , artificial intelligence
Metabolic profiling provides a global assessment of metabolites and evaluates the impact of diet, environment, and behavior on whole‐body metabolism. The purpose of this study was to use liquid chromatography‐Fourier transform mass spectrometry (LC‐FTMS) to identify distinct metabolic profiles and metabolites that differ with age in male and female marmosets. After protein extraction, 10 μl of marmoset plasma was analyzed by LC‐FTMS. The LC consisted of a C18 precolumn and anion exchange/C18 tandem column switching. Detection of 3 million ions at a maximum of 500 msec provided 2 scans/sec over 10 min for the m/z decade of 85–850. Features were defined as having m/z ± 0.002 amu and the same elution time. Results revealed more than 2000 m/z features from 25 male and 37 female healthy marmosets ages 2–13 yrs old. Unsupervised principal component analysis separated young and old and also male and female marmosets. Cluster analysis revealed that metabolomic networks in young marmosets maintained greater integrity than the old, and the networks between sexes demonstrated no overlap. Predicted elemental formulas of metabolites differing with age and sex provide putative biomarkers of aging and identify specific modules disrupted with age. In conclusion, LC‐FTMS‐based metabolomics provides a means to evaluate age‐ and gender‐related metabolic changes in detail. Funded by NIEHS and NCRR.