OBJECTIVES: Phospholipids (PLs) are increasingly recognized as key molecules with potential diagnostic value in acute inflammation, CVD and atherosclerosis. We introduce a pioneer mass spectrometry (MS)-based approach aiming to investigate the relationship of specific plasma PL-subsets with atherogenic blood parameters in young patients with familial hyperlipidemia representing high-CVD-risk groups. METHODS: Plasma of carefully phenotyped FH and FCH patients as well as normolipidemic subjects (age 13 ± 5 years, n = 20) was used. Clinical parameters were assessed using standard laboratory techniques and lipids were subjected to a direct targeted monitoring using LC-ESI-SRM- and MALDI-QIT-TOF-MS/MS, respectively. Statistical analysis was performed to evaluate correlations between PL data and the clinical parameters. RESULTS: Most characteristically significant differences of SM/PC and PC/LPC ratios and positive correlations between SM vs. LDL-C (r = 0.946; p = 0.004) and LPC vs. VLDL-C (r = 0.669; p = 0.218) were observed in FH in contrast to the other study groups. OxPC levels were found in the range of ∼2-20 μmol/L with predominance of short-chain aldehydic species (e.g. SOVPC). A positive correlation of OxPCs with IMT (r = 0.952; p = 0.052) and HDL-C (r = 0.893; p = 0.016) but negative correlation with OxLDL (r = -0.910; p = 0.096) was observed. CONCLUSIONS: Our study was a first attempt to use a MALDI-QIT-TOF-MS/MS based clinical lipidomics approach to investigate atherogenic dyslipidemia in young patients with familial hyperlipidemia. This technique represents a promising platform for clinical screening of lipid biomarkers in the future.
OBJECTIVES:Phospholipids (PLs) are increasingly recognized as key molecules with potential diagnostic value in acute inflammation, CVD and atherosclerosis. We introduce a pioneer mass spectrometry (MS)-based approach aiming to investigate the relationship of specific plasma PL-subsets with atherogenic blood parameters in young patients with familial hyperlipidemia representing high-CVD-risk groups. METHODS: Plasma of carefully phenotyped FH and FCH patients as well as normolipidemic subjects (age 13 ± 5 years, n = 20) was used. Clinical parameters were assessed using standard laboratory techniques and lipids were subjected to a direct targeted monitoring using LC-ESI-SRM- and MALDI-QIT-TOF-MS/MS, respectively. Statistical analysis was performed to evaluate correlations between PL data and the clinical parameters. RESULTS: Most characteristically significant differences of SM/PC and PC/LPC ratios and positive correlations between SM vs. LDL-C (r = 0.946; p = 0.004) and LPC vs. VLDL-C (r = 0.669; p = 0.218) were observed in FH in contrast to the other study groups. OxPC levels were found in the range of ∼2-20 μmol/L with predominance of short-chain aldehydic species (e.g. SOVPC). A positive correlation of OxPCs with IMT (r = 0.952; p = 0.052) and HDL-C (r = 0.893; p = 0.016) but negative correlation with OxLDL (r = -0.910; p = 0.096) was observed. CONCLUSIONS: Our study was a first attempt to use a MALDI-QIT-TOF-MS/MS based clinical lipidomics approach to investigate atherogenic dyslipidemia in young patients with familial hyperlipidemia. This technique represents a promising platform for clinical screening of lipid biomarkers in the future.
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Authors: Luca A Lotta; Maik Pietzner; Isobel D Stewart; Laura B L Wittemans; Chen Li; Roberto Bonelli; Johannes Raffler; Emma K Biggs; Clare Oliver-Williams; Victoria P W Auyeung; Jian'an Luan; Eleanor Wheeler; Ellie Paige; Praveen Surendran; Gregory A Michelotti; Robert A Scott; Stephen Burgess; Verena Zuber; Eleanor Sanderson; Albert Koulman; Fumiaki Imamura; Nita G Forouhi; Kay-Tee Khaw; Julian L Griffin; Angela M Wood; Gabi Kastenmüller; John Danesh; Adam S Butterworth; Fiona M Gribble; Frank Reimann; Melanie Bahlo; Eric Fauman; Nicholas J Wareham; Claudia Langenberg Journal: Nat Genet Date: 2021-01-07 Impact factor: 41.307
Authors: Jane F Ferguson; Hooman Allayee; Robert E Gerszten; Folami Ideraabdullah; Penny M Kris-Etherton; José M Ordovás; Eric B Rimm; Thomas J Wang; Brian J Bennett Journal: Circ Cardiovasc Genet Date: 2016-04-19
Authors: Roberto Martínez-Beamonte; Jose M Lou-Bonafonte; María V Martínez-Gracia; Jesús Osada Journal: Int J Mol Sci Date: 2013-04-09 Impact factor: 5.923
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