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Paraoxonase-1 (PON1) and lipoprotein phospholipase A2 (Lp-PLA2) may exert an important protective role by preventing the oxidative transformation of high- and low-density lipoproteins (HDL and LDL, respectively). The activity of both enzymes is influenced by lipidome and proteome of the lipoprotein carriers. T2DM typically presents significant changes in the molecular composition of the lipoprotein subclasses. Thus, it becomes relevant to understand the interaction of PON1 and Lp-PLA2 with the subspecies of HDL, LDL, and other lipoproteins in T2DM. Serum levels of PON1-arylesterase and PON1-lactonase and Lp-PLA2 activities and lipoprotein subclasses were measured in 202 nondiabetic subjects (controls) and 92 T2DM outpatients. Arylesterase, but not lactonase or Lp-PLA2 activities, was inversely associated with TD2M after adjusting for potential confounding factors such as age, sex, smoking, body mass index, hypertension, and lipoprotein subclasses (odds ratio = 3.389, 95% confidence interval 1.069-14.756). Marked difference between controls and T2DM subjects emerged from the analyses of the associations of the three enzyme activities and lipoprotein subclasses. Arylesterase was independently related with large HDL-C and small intermediate-density lipoprotein cholesterol (IDL-C) in controls while, along with lactonase, it was related with small low-density lipoprotein cholesterol LDL-C, all IDL-C subspecies, and very low-density lipoprotein cholesterol (VLDL-C) in T2DM ( < 0.05 for all). Concerning Lp-PLA2, there were significant relationships with small LDL-C, large IDL-C, and VLDL-C only among T2DM subjects. Our study showed that T2DM subjects have lower levels of PON1-arylesterase compared to controls and that T2DM occurrence may coincide with a shift of PON1 and Lp-PLA2 towards the more proatherogenic lipoprotein subclasses. The possibility of a link between the two observed phenomena requires further investigations.
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http://dx.doi.org/10.1155/2018/1752940 | DOI Listing |
Diabetes Obes Metab
September 2025
School of Medicine, University of Auckland, Auckland, New Zealand.
Aim: To investigate the associations of intra-pancreatic fat deposition (IPFD) with low-density lipoprotein (LDL) subfractions and hepatic lipase.
Materials And Methods: IPFD was quantified using a single 3.0 Tesla magnetic resonance imaging scanner.
Sci Rep
August 2025
Graduate School of Medicine, Center for Genomic Medicine, Kyoto University, Kyoto, 606-8507, Japan.
Metabolomics is a powerful molecular phenotyping technology which can be used in population studies to identify metabolites underlying disease conditions. To identify plasma biomarkers potentially predicting chronic diseases we applied H nuclear magnetic resonance (NMR) metabolomics using a 600 MHz spectrometer fitted with an In Vitro Diagnostics Research (IVDr) platform to test associations between 18 known metabolites and 111 lipoprotein constituents that could be quantified and passed our quality control procedure and 944 phenotypes determined in 302 healthy participants of the Japanese Nagahama Study. We identified 907 statistically significant associations (p < 4.
View Article and Find Full Text PDFClin Chim Acta
August 2025
Department of Pathophysiology, Institute of Cardiovascular Disease, Key Lab for Arteriosclerology of Hunan Province, International Joint Laboratory for Arteriosclerotic Disease Research of Hunan Province, Hengyang Medical School, University of South China, Hengyang, China. Electronic address: huangj
High-density lipoprotein (HDL) plays a key role in reverse cholesterol transport (RCT), traditionally associated with cardiovascular protection. However, while low HDL-cholesterol (HDL-C) levels correlate with increased cardiovascular risk, therapeutic interventions raising HDL-C (e.g.
View Article and Find Full Text PDFJ Sports Sci
August 2025
Department of Chemistry, University of Bergen, Bergen, Norway.
It is not known whether aerobic capacity (fitness) or overweight/obesity (fatness) moderate the association between physical activity (PA) and lipoproteins/lipids in children. The aim of this study was to investigate moderation of the cross-sectional and longitudinal associations between PA and the lipoprotein subclass profile by fitness and fatness in children. Eight hundred and sixty-two (cross-sectional analysis) or 787 (longitudinal analysis) children (age 10.
View Article and Find Full Text PDFHeart
August 2025
National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
Objective: To examine the association between nuclear magnetic resonance (NMR)-based metabolomics and aortic stenosis (AS) risk, and determine whether metabolomic profiling can enhance AS prediction beyond conventional clinical risk factors.
Methods: We included 168 metabolites in our study. The primary outcome of interest was incident AS.