Multiple apolipoprotein kinetics measured in human HDL by high-resolution/accurate mass parallel reaction monitoring[S]

Endogenous labeling with stable isotopes is used to study the metabolism of proteins in vivo. However, traditional detection methods such as GC/MS cannot measure tracer enrichment in multiple proteins simultaneously, and multiple reaction monitoring MS cannot measure precisely the low tracer enrichm...

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Published in:Journal of lipid research Vol. 57; no. 4; pp. 714 - 728
Main Authors: Singh, Sasha A., Andraski, Allison B., Pieper, Brett, Goh, Wilson, Mendivil, Carlos O., Sacks, Frank M., Aikawa, Masanori
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01-04-2016
The American Society for Biochemistry and Molecular Biology
Elsevier
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Summary:Endogenous labeling with stable isotopes is used to study the metabolism of proteins in vivo. However, traditional detection methods such as GC/MS cannot measure tracer enrichment in multiple proteins simultaneously, and multiple reaction monitoring MS cannot measure precisely the low tracer enrichment in slowly turning-over proteins as in HDL. We exploited the versatility of the high-resolution/accurate mass (HR/AM) quadrupole Orbitrap for proteomic analysis of five HDL sizes. We identified 58 proteins in HDL that were shared among three humans and that were organized into five subproteomes according to HDL size. For seven of these proteins, apoA-I, apoA-II, apoA-IV, apoC-III, apoD, apoE, and apoM, we performed parallel reaction monitoring (PRM) to measure trideuterated leucine tracer enrichment between 0.03 to 1.0% in vivo, as required to study their metabolism. The results were suitable for multicompartmental modeling in all except apoD. These apolipoproteins in each HDL size mainly originated directly from the source compartment, presumably the liver and intestine. Flux of apolipoproteins from smaller to larger HDL or the reverse contributed only slightly to apolipoprotein metabolism. These novel findings on HDL apolipoprotein metabolism demonstrate the analytical breadth and scope of the HR/AM-PRM technology to perform metabolic research.
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Present addresses of W. Goh: School of Pharmaceutical Science and Technology, Tianjin University, China; and School of Computing, National University of Singapore, Singapore.
S. A. Singh, A. B. Andraski, F. M. Sacks, and M. Aikawa contributed equally to this work.
ISSN:0022-2275
1539-7262
DOI:10.1194/jlr.D061432