scholarly journals Both low and high levels of low-density lipoprotein cholesterol are risk factors for diabetes diagnosis in Chinese adults

2022 ◽  
pp. 100050
Author(s):  
Guang Yang ◽  
Tingting Qian ◽  
Hui Sun ◽  
Qun Xu ◽  
Xujuan Hou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Diabetes Diagnosis ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Chinese Adults

Abstract P181: Atherogenic Lipoproteins and Incident Atherosclerotic Cardiovascular Disease in the Framingham Offspring Study

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Hiroaki Ikezaki ◽  
Elise Lim ◽  
Ching-Ti Liu ◽  
L Adrienne Cupples ◽  
Bela F Asztalos ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Atherosclerotic Cardiovascular Disease ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Significant Information ◽  
Ascvd Risk

Introduction: Elevated plasma low-density lipoprotein cholesterol (LDL-C), small-dense LDL-C (sdLDL-C), LDL-triglyceride (LDL-TG), triglycerides (TG), remnant-lipoprotein cholesterol (RLP-C), triglyceride-rich lipoprotein-C (TRL-C), very low-density lipoprotein cholesterol (VLDL-C), and lipoprotein(a) [Lp(a)] levels have been associated with increased atherosclerotic cardiovascular disease (ASCVD) risk. However, these parameters have not been included in risk factors for ASCVD in the pooled cohort equation (PCE). Hypothesis: We assessed the hypothesis that these atherogenic lipoprotein parameters add significant information for ASCVD risk prediction in the Framingham Offspring Study. Methods: We evaluated 3,147 subjects without ASCVD at baseline (mean age 58 years) from participants of Framingham Offspring Study cycle 6, 677 (21.5%) of whom developed inclusive ASCVD over 16 years. Biomarkers of risk were assessed in frozen plasma samples. Total cholesterol, TG, HDL-C, direct LDL-C, sdLDL-C, LDL-TG, Lp(a), RLP-C, and TRL-C were measured by standardized automated analysis. Calculated LDL-C, large buoyant low-density lipoprotein cholesterol (lbLDL-C), VLDL-C, and non-HDL-C values were calculated. Data were analyzed using Cox proportional regression analysis and net reclassification improvement (NRI) analysis to identify parameters significantly associated with the incidence of ASCVD after controlling for standard ASCVD risk factor and applying the PCE model. Results: All specialized lipoprotein parameters were significant ASCVD risk factors on univariate analysis, but only direct LDL-C, sdLDL-C, and Lp(a) were significant on multivariate analysis with standard risk factors in the model. Together these parameters significantly improved the model c statistic (0.716 vs 0.732, P < 0.05) and net risk reclassification (mean NRI 0.104, P < 0.01) for ASCVD risk. Using the ASCVD risk pooled cohort equation, sdLDL-C, TG, LDL-TG, LDL-C, RLP-C, and TRL-C individually added significant information, but no other parameter added significant information with sdLDL-C (hazard ratio 1.30 for 75th vs 25th percentile, P < 0.0001) in the model. Conclusions: In multivariate analysis, sdLDL-C, direct LDL-C, and Lp(a) contributed significantly to ASCVD risk, but only sdLDL-C added significant risk information to the PCE model, indicating that sdLDL-C may be the most atherogenic lipoprotein particle.

scholarly journals Cardiometabolic risk factors are associated with immune cell mitochondrial respiration in humans

2020 ◽  
Vol 319 (2) ◽  
pp. H481-H487
Author(s):  
Theodore M. DeConne ◽  
Eric R. Muñoz ◽  
Faria Sanjana ◽  
Joshua C. Hobson ◽  
Christopher R. Martens
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
Mitochondrial Respiration ◽  
Cardiometabolic Risk ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol

Independent of other cardiometabolic risk factors, low-density lipoprotein cholesterol, and systolic blood pressure were found to be negatively associated with several parameters of mitochondrial respiration in peripheral blood mononuclear cells of healthy adults. These data suggest that low-density lipoprotein cholesterol and systolic blood pressure may induce metabolic reprogramming of immune cells, contributing to increased cardiovascular disease risk and impaired immune health.

scholarly journals Lipoproteins and other Risk Factors for Cardiovascular Disease in a Student Population

2013 ◽  
Vol 32 (2) ◽  
pp. 140-145 ◽  
Author(s):  
Dragana Pap ◽  
Emina Čolak ◽  
Nada Majkić-Singh ◽  
Gordana Grubor-Lajšić ◽  
Sanja Vicković
Keyword(s):  
Risk Factors ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Lipid Status ◽  
Increased Risk ◽  
Group 2 ◽  
Group 1

Summary Background: Cardiovascular disease (CVD) is a major cause of mortality and morbidity in many populations, especially in developed countries. The aim of the study was to analyze the lipid status in a student population at increased risk for CVD in comparison with students who are not at increased risk for CVD. Methods: This study included 238 students from the University of Novi Sad of both sexes (126 men and 112 women), with a mean age of 22.32±1.85 years. According to the body mass index (BMI) lower and higher than 25 kg/m2 and waist circumference (WC) of less and more than 94 cm (80 cm for females) the whole group of 238 students was divided into 2 subgroups: the group at increased risk for CVD (Group 1) and the group at lower risk for CVD (Group 2). Total cholesterol - TCH, triglycerides - TG, high density lipoprotein cholesterol - HDL-c, low density lipoprotein cholesterol - LDL-c, very low-density lipoprotein cholesterol - VLDL-c concentrations were determined and the index of atherosclerosis (IA), established risk factors RF-TCH/HDL-c ratio and non-HDL-c/HDL-c ratio were mathematically calculated. Results: The values of TCH, LDL-c, non-HDL-c, VLDL-c and TG were significantly higher in Group 1 compared to Group 2 (P<0.001). IA, non-HDL-c/HDL-c and RF-TCH/HDL-c ratio were also significantly higher (P<0.001), while HDL-c was significantly lower (p<0.01) in Group 1 compared to controls. These results were not influenced by gender in both groups of subjects. Conclusions: The data suggest that increased anthropometric parameters are followed by increased lipoprotein status in the group of students at increased risk for CVD and screening of the lipid status is necessary in students, especially in those who are at increased risk for CVD.

scholarly journals Bilirubin ameliorates murine atherosclerosis through inhibiting cholesterol synthesis and reshaping the immune system

2022 ◽  
Vol 20 (1) ◽  
Author(s):  
Guanmei Wen ◽  
Leyi Yao ◽  
Yali Hao ◽  
Jinheng Wang ◽  
Jinbao Liu
Keyword(s):  
Risk Factors ◽  
Immune System ◽  
Total Cholesterol ◽  
Cholesterol Synthesis ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Lipid Lowering ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol

AbstractAtherosclerosis is a chronic inflammatory disease caused mainly by lipid accumulation and excessive inflammatory immune response. Although the lipid-lowering and cardioprotective properties of bilirubin, as well as the negative relationship between bilirubin and atherosclerosis, were well documented, it is not yet clear whether bilirubin can attenuate atherosclerosis in vivo. In this study, we investigated the role of bilirubin in improving atherosclerosis. We found that mildly elevated bilirubin significantly reduced the risk factors of atherosclerosis, such as plasma glucose, total cholesterol, and low-density lipoprotein cholesterol, and the formation of atherosclerotic plaques, liver total cholesterol, and cholesterol ester concentration in apolipoprotein E-deficient (ApoE−/−) mice fed a western-type (high fat) diet. It was further found that bilirubin could promote the degradation of 3-Hydroxy-3-Methylglutaryl-CoA Reductase (HMGCR), a rate-limiting enzyme for endogenous cholesterol synthesis. Using mass cytometry-based high dimensional single cell analysis, we observed a decrease of natural killer cells and an increase of dendritic cells and myeloid-derived suppressor cells, which all are closely associated with atherosclerosis risk factors and contribute to the improvement of atherosclerosis, in ApoE−/− mice treated with bilirubin. By in-depth analysis, modulation of multiple spleen or peripheral blood T cell clusters exhibiting either positive or negative correlations with total cholesterol or low-density lipoprotein cholesterol was detected after bilirubin treatment. In this study, we demonstrate that bilirubin serves as a negative regulator of atherosclerosis and reduces atherosclerosis by inhibiting cholesterol synthesis and modulating the immune system.

scholarly journals A Novel Clinical Nomogram to Predict Transient Symptomatic Associated with Infarction: The ABCD3-SLOPE Score

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
YanQin Lu ◽  
QianQian Bi ◽  
Wang Fu ◽  
LiLi Liu ◽  
Yin Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Brain Natriuretic Peptide ◽  
Natriuretic Peptide ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Smoking History ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Peptide Precursor

Background. It is hard to differentiate transient symptoms associated with infarction (TSI) from transient ischemic stroke (TIA) without MRI in the early onset. However, they have distinct clinical outcomes and respond differently to therapeutics. Therefore, we aimed to develop a risk prediction model based on the clinical features to identify TSI. Methods. We enrolled 230 consecutive patients with transient neurologic deficit in the Department of Neurology, Tongji University Affiliated Tenth People’s Hospital from March 2014 to October 2019. All the patients were assigned into TIA group (DWI-negative) or TSI group (DWI-positive) based on MRI conducted within five days of onset. We summarized the clinical characteristics of TSI by univariate and multivariate analyses. And then, we developed and validated a nomogram to identify TSI by the logistic regression equation. Results. Of the 230 patients, 41.3% were diagnosed with TSI. According to the multivariate analysis, four independent risk factors, including smoking history, low-density lipoprotein cholesterol, brain natriuretic peptide precursor, and ABCD3 score, were incorporated into a nomogram. We developed a predictive model named ABCD3-SLOPE. The calibration curve showed good agreement between nomogram prediction and observation. The concordance index (C-index) of the nomogram for TSI prediction was 0.77 (95% confidence interval, 0.70-0.83), and it was well-calibrated. Conclusions. Smoking history, low-density lipoprotein cholesterol, brain natriuretic peptide precursor, and ABCD3 score were reliable risk factors for TSI. ABCD3-SLOPE was a potential tool to quantify the likelihood of TSI.

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