TY - JOUR
T1 - Advantages of tandem LC-MS for the rapid assessment of tissue-specific metabolic complexity using a pentafluorophenylpropyl stationary phase
AU - Lv, Haitao
AU - Palacios, Gustavo
AU - Hartil, Kirsten
AU - Kurland, Irwin J.
PY - 2011/4/1
Y1 - 2011/4/1
N2 - In this study, a tandem LC-MS (Waters Xevo TQ) MRM-based MS method was developed for rapid, broad profiling of hydrophilic metabolites from biological samples, in either positive or negative ion modes without the need for an ion pairing reagent, using a reversed-phase pentafluorophenylpropyl (PFPP) column. The developed method was successfully applied to analyze various biological samples from C57BL/6 mice, including urine, duodenum, liver, plasma, kidney, heart, and skeletal muscle. As result, a total 112 of hydrophilic metabolites were detected within 8 min of running time to obtain a metabolite profile of the biological samples. The analysis of this number of hydrophilic metabolites is significantly faster than previous studies. Classification separation for metabolites from different tissues was globally analyzed by PCA, PLS-DA and HCA biostatistical methods. Overall, most of the hydrophilic metabolites were found to have a "fingerprint" characteristic of tissue dependency. In general, a higher level of most metabolites was found in urine, duodenum, and kidney. Altogether, these results suggest that this method has potential application for targeted metabolomic analyzes of hydrophilic metabolites in a wide ranges of biological samples.
AB - In this study, a tandem LC-MS (Waters Xevo TQ) MRM-based MS method was developed for rapid, broad profiling of hydrophilic metabolites from biological samples, in either positive or negative ion modes without the need for an ion pairing reagent, using a reversed-phase pentafluorophenylpropyl (PFPP) column. The developed method was successfully applied to analyze various biological samples from C57BL/6 mice, including urine, duodenum, liver, plasma, kidney, heart, and skeletal muscle. As result, a total 112 of hydrophilic metabolites were detected within 8 min of running time to obtain a metabolite profile of the biological samples. The analysis of this number of hydrophilic metabolites is significantly faster than previous studies. Classification separation for metabolites from different tissues was globally analyzed by PCA, PLS-DA and HCA biostatistical methods. Overall, most of the hydrophilic metabolites were found to have a "fingerprint" characteristic of tissue dependency. In general, a higher level of most metabolites was found in urine, duodenum, and kidney. Altogether, these results suggest that this method has potential application for targeted metabolomic analyzes of hydrophilic metabolites in a wide ranges of biological samples.
KW - C57BL/6 mice
KW - LC-MS
KW - MRM
KW - hydrophilic metabolites
KW - metabolic complexity
KW - metabolic networks
KW - metabolomics
KW - reversed-phase HPLC
UR - http://www.scopus.com/inward/record.url?scp=79953712034&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79953712034&partnerID=8YFLogxK
U2 - 10.1021/pr1011119
DO - 10.1021/pr1011119
M3 - Article
C2 - 21322650
AN - SCOPUS:79953712034
SN - 1535-3893
VL - 10
SP - 2104
EP - 2112
JO - Journal of Proteome Research
JF - Journal of Proteome Research
IS - 4
ER -