Mathias J. Gerl
Max Planck Society
Publications 28
#1R. Tabassum (UH: University of Helsinki)H-Index: 1
#2FinnGen (UH: University of Helsinki)
Last.Samuli Ripatti (MIT: Massachusetts Institute of Technology)H-Index: 2
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Understanding genetic architecture of plasma lipidome could provide better insights into lipid metabolism and its link to cardiovascular diseases (CVDs). Here, we perform genome-wide association analyses of 141 lipid species (n = 2,181 individuals), followed by phenome-wide scans with 25 CVD related phenotypes (n = 511,700 individuals). We identify 35 lipid-species-associated loci (P <5 ×10−8), 10 of which associate with CVD risk including five new loci-COL5A1, GLTPD2, SPTLC3, MBOAT7 and GALNT16...
#1Mathias J. GerlH-Index: 9
#2Christian KloseH-Index: 13
Last.Kai Simons (MPG: Max Planck Society)H-Index: 130
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Obesity is associated with changes in the plasma lipids. Although simple lipid quantification is routinely used, plasma lipids are rarely investigated at the level of individual molecules. We aimed at predicting different measures of obesity based on the plasma lipidome in a large population cohort using advanced machine learning modeling. A total of 1,061 participants of the FINRISK 2012 population cohort were randomly chosen, and the levels of 183 plasma lipid species were measured in a novel ...
#1Michael Kammer (Medical University of Vienna)H-Index: 7
#2Andreas Heinzel (Medical University of Vienna)H-Index: 12
Last.Rainer Oberbauer (Medical University of Vienna)H-Index: 36
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Clinical risk factors explain only a fraction of the variability of estimated glomerular filtration rate (eGFR) decline in people with type 2 diabetes. Cross-omics technologies by virtue of a wide spectrum screening of plasma samples have the potential to identify biomarkers for the refinement of prognosis in addition to clinical variables. Here we utilized proteomics, metabolomics and lipidomics panel assay measurements in baseline plasma samples from the multinational PROVALID study (PROspecti...
#1R. Tabassum (UH: University of Helsinki)H-Index: 1
#2Joel T. Rämö (UH: University of Helsinki)H-Index: 3
Last.Samuli Ripatti (Broad Institute)H-Index: 62
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#1Joel T. Rämö (UH: University of Helsinki)H-Index: 3
#2Pietari Ripatti (UH: University of Helsinki)H-Index: 2
Last.Samuli Ripatti (Broad Institute)H-Index: 23
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Background We asked whether, after excluding familial hypercholesterolemia, individuals with high low‐density lipoprotein cholesterol (LDL‐C) or triacylglyceride levels and a family history of the ...
Familial hyperlipidemias including but not limited to familial hypercholesterolemia (FH) are often evaluated distinctly from population-based hyperlipidemias. We asked whether this practice is warranted either by greater coronary artery disease (CAD) risk or by different detailed lipid profiles in
#1Mathias J. GerlH-Index: 9
#2Winchil L.C. Vaz (NOVA: Universidade Nova de Lisboa)H-Index: 37
Last.Otilia V. Vieira (NOVA: Universidade Nova de Lisboa)H-Index: 24
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Shotgun lipidomic analysis of 203 lipids in 13 lipid classes performed on blood plasma of donors who had just suffered an acute coronary syndrome (ACS, n = 74), or an ischemic stroke (IS, n = 21), or who suffer from stable angina pectoris (SAP, n = 78), and an age-matched control cohort (n = 52), showed some of the highest inter-lipid class correlations between cholesteryl esters (CE) and phosphatidylcholines (PC) sharing a common fatty acid. The concentration of lysophospatidylcholine (LPC) and...