Background: Analysis of lipoprotein size and composition by nuclear magnetic resonance (NMR) has been advocated as a method for identifying individuals at high CVD risk. We compared risk stratification between NMR-based LDL particle number (LDL-PNUM), LDL-cholesterol (LDL-C), and apolipoprotein B (apoB).
Methods: Retrospective data from patients with simultaneous orders for LDL-PNUM, LDL-C, and apoB were analyzed and included data from an NMR assay (Numares). Quantitative and qualitative analyses were performed. Additional lipid parameters were investigated for patients with discordant risk classifications in LDL-related measurements. The percent change of LDL-PNUM was compared to the percent change of LDL-C or apoB for patients with serial measurements.
Results: We observed good quantitative and qualitative correlation when comparing LDL-PNUM to either LDL-C or apoB (Spearman's ρ ≥ 0.83, percent agreements ≥ 85%). Among the patients with discordant risk stratification, most had increased LDL-PNUM and normal LDL-C and apoB. For patients with serial measurements, a strong correlation between the LDL-PNUM percent change and the LDL-C or apoB percent change was observed (Spearman's ρ > 0.93).
Conclusion: For many patients, risk stratification of LDL-PNUM is similar to apoB or LDL-C using cut-offs proposed by guidelines.
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http://dx.doi.org/10.1016/j.cca.2021.03.004 | DOI Listing |
Pulm Circ
January 2025
Center of Gerontology and Geriatrics National Clinical Research Center for Geriatrics,West China Hospital, Sichuan University Chengdu China.
The therapeutic value of lipid-lowering drugs in pulmonary vascular disease remains uncertain due to insufficient studies and evidence. This study aims to investigate the causal effects of lipid-lowering drugs (specifically, inhibitors of APOB, CETP, HMGCR, NPC1L1, and PCSK9) on pulmonary vascular diseases using a Mendelian randomization (MR) approach. We utilized summary-level statistics from genome-wide association studies (GWAS) to simulate the exposure to low-density lipoprotein cholesterol (LDL-C) and its outcomes on pulmonary arterial hypertension (PAH), pulmonary embolism (PE), and pulmonary heart disease (PHD).
View Article and Find Full Text PDFJAMA Cardiol
January 2025
Program of Medical and Population Genetics, Broad Institute of MIT (Massachusetts Institute of Technology) and Harvard, Cambridge, Massachusetts.
Importance: Treatment to lower high levels of low-density lipoprotein cholesterol (LDL-C) reduces incident coronary artery disease (CAD) risk but modestly increases the risk for incident type 2 diabetes (T2D). The extent to which genetic factors across the cholesterol spectrum are associated with incident T2D is not well understood.
Objective: To investigate the association of genetic predisposition to increased LDL-C levels with incident T2D risk.
Ginekol Pol
January 2025
Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Objectives: This study investigates the relationship between serum homocysteine, blood lipids, and perinatal outcomes in patients with diet-controlled gestational diabetes mellitus (GDM) and those with normal glucose tolerance (NGT).
Material And Methods: A prospective cohort of 150 diet-controlled GDM patients and 150 pregnant women with NGT, all delivering at our hospital, were selected based on predefined criteria. Data on demographics, physical parameters, and perinatal outcomes were compiled.
Int J Chron Obstruct Pulmon Dis
January 2025
Department of Rehabilitation Medicine, General Hospital of Central Theater Command, Wuhan, 430065, People's Republic of China.
Background: In preliminary research and literature review, we identified a potential link between chronic obstructive pulmonary disease (COPD) and lipid metabolism. Therefore, this study employed Mendelian randomization (MR) analysis to investigate the potential causal connection between blood lipids and COPD.
Materials And Methods: A genome-wide association study (GWAS) on COPD was conducted, encompassing a total of 112,583 European participants from the MRC-IEU.
Ecotoxicol Environ Saf
January 2025
Hubei Selenium and Human Health Institute, the Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi 445000, China; Hubei Provincial Key Lab of Selenium Resources and Bioapplications, Enshi 445000, China. Electronic address:
At present, there is no consensus on the relationship between selenium (Se) exposure and human serum lipid metabolism. The etiological role of high-Se exposure in lipid markers, dyslipidemia, and nonalcoholic fatty liver (NAFLD) remains unclear. We used serum untargeted metabolomics analysis to evaluate whether high-Se exposure is cross-sectionally associated with lipid metabolism in adults from high-Se exposure area (n = 112) and control area (n = 101) in Hubei Province, China.
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