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Quantitative Mass Spectrometry to Determine Effects of Diabetic Dyslipidemia and Exercise on the plasma Low Density Lipoproteome
Author(s) -
Richardson Matthew Ryan,
Hong David,
Sturek Michael,
Wang Mu,
Witzmann Frank A.
Publication year - 2007
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.21.6.a855-a
Subject(s) - chemistry , dyslipidemia , tandem mass spectrometry , confidence interval , medicine , endocrinology , lipoprotein particle , mass spectrometry , chromatography , lipoprotein , diabetes mellitus , cholesterol , biochemistry , very low density lipoprotein
There is a predominant role for LDL in atherogenesis. Coronary vascular dysfunction in the Yucatan swine model of diabetic dyslipidemia (DD) was prevented by aerobic exercise training (DDX) without altering total LDL concentration (Mokelke et al. J. Appl. Physiol. 95 :, 2003). Attenuation of the DD induced changes in the quantitative and/or qualitative properties of LDL may explain the cardioprotective effects of exercise. We used quantitative mass spectrometry to determine these changes in the complex LDL particle in plasma of healthy control, DD, and DDX pigs. The LDL fraction of the plasma was isolated via FPLC, and the tryptically digested LDL peptides were analyzed serially via linear ion‐trap LC‐MS/MS. Proteins were identified using SEQUEST and X!Tandem, while protein quantification was carried out based on total ion chromatograms using the proprietary technology of Indiana Centers for Applied Protein Sciences. In this approach, the integral volume under each selected peptide peak was measured, normalized, and compared for relative abundance. In this study, 434 proteins were identified and quantified. Of these, 210 were identified with high confidence, including porcine apolipoproteins B100, D, E, CIII, N, R, AIV and AI. To our knowledge this is the largest number of proteins in the LDL particle ever identified with high confidence. Supported by NIH RR013223 , HL062552 (MS) and AA015698 (FAW).