Dyslipidemia and prevention of atherosclerotic cardiovascular disease in the elderly

Analysis of Dopamine Receptor D2 Gene Polymorphism and Correlation with Dyslipidemia in the Chinese Population

Objective

The study aimed to explore the genotype and allele distributions of dopamine D2-like receptor (DRD2) gene -141C and C957T polymorphisms in the Chinese Han population with dyslipidemia, as well as their association with serum lipid levels.

Methods

One hundred fifty patients with dyslipidemia and 150 healthy people were recruited as the case and the control groups, respectively. Serum total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol levels were detected. The target sequence of DRD2 polymorphisms was amplified by polymerase chain reaction and genotyped via Sanger sequencing.

Results

In DRD2 gene C957T (rs6277), three genotypes of CC, CT, and TT were detected with the frequencies of 92.67%, 6.67%, 0.67% in dyslipidemia cases, and 83.33%, 14.67%, 2.00% in the controls, respectively. The CT genotype and T allele frequencies were significantly low in the case group relative to the control group. After adjusting to other clinical indicators, the CT genotype of C957T polymorphism (hazard ratio = 0.401, 95% confidence interval = 0.181-0.890, p < 0.05) was still related to a significantly reduced risk of dyslipidemia. The C957T CT genotype carriers had the lowest values of serum TC, TG, LDL, and the highest values of serum HDL-C.

Conclusion

DRD2 gene C957T polymorphism was an independent influencing factor associated with the susceptibility to dyslipidemia, and the CT genotype was associated with decreased odds of susceptibility to dyslipidemia.

Unveiling the Hidden Burden: Estimating All-Cause Mortality Risk in Older Individuals with Type 2 Diabetes

Background

The mortality rate among older persons with diabetes has been steadily increasing, resulting in significant health and economic burdens on both society and individuals. The objective of this study is to develop and validate a predictive nomogram for estimating the 5-year all-cause mortality risk in older persons with T2D (T2D).

Methods

We obtained data from the National Health and Nutrition Survey (NHANES). A random 7 : 3 split was made between the training and validation sets. By linking the national mortality index up until December 31, 2019, we ensured a minimum of 5 years of follow-up to assess all-cause mortality. A nomogram was developed in the training cohort using a logistic regression model as well as a least absolute shrinkage and selection operator (LASSO) regression model for predicting the 5-year risk of all-cause mortality. Finally, the prediction performance of the nomogram is evaluated using several validation methods.

Results

We constructed a comprehensive prediction model based on the results of multivariate analysis and LASSO binomial regression. These models were then validated using data from the validation cohort. The final model includes four independent predictors: age, gender, estimated glomerular filtration rate, and white blood cell count. The C-index values for the training and validation cohorts were 0.748 and 0.762, respectively. The calibration curve demonstrates satisfactory consistency between the two cohorts.

Conclusions

The newly developed nomogram proves to be a valuable tool in accurately predicting the 5-year all-cause mortality risk among older persons with diabetes, providing crucial information for tailored interventions.

Assessment of causal association between differentiated thyroid cancer and disordered serum lipid profile: a Mendelian randomization study

Background

Research has shown that the disordered serum lipid profile may be associated with the risk of differentiated thyroid cancer (DTC). Whether this association reflect causal effect is still unclear. The aim of this study was to evaluate the causality of circulating lipoprotein lipids on DTC.

Methods

Mendelian randomization (MR) analysis was conducted to evaluate the relationship between the circulating lipoprotein lipids and DTC risk using single-nucleotide polymorphisms (SNPs) from a genome-wide association (GWA) study containing a high-incidence Italian population of 690 cases samples with DTC and 497 controls.

Results

Univariate and multivariate mendelian randomization analysis demonstrated that 'total cholesterol', 'HDL cholesterol', 'apolipoprotein B' and 'ratio of apolipoprotein B to apolipoprotein A1' were correlated with DTC. According to sensitivity analysis, our results were reliable. Furthermore, multivariate analysis revealed that there is no causative association between DTC and any of the many cause factors when they interact with one another, suggesting that there was a deep interaction between the four factors, which could affect each other. Finally, the mechanism of the related effects each other as well as the target genes with significant SNP regulatory effects in DTC was explored by conducting functional enrichment analysis and constructing the regulatory networks.

Conclusions

We obtained four exposure factors (total cholesterol, HDL cholesterol, apolipoprotein B and ratio of apolipoprotein B to apolipoprotein A1) closely related to DTC, which laid a theoretical foundation for the treatment of DTC.

Cobalt exposure and dyslipidemia in elderly population: the mediating role of systemic inflammation and lipid peroxidation

Heavy metal exposure has been reported to be correlated with lipid profile alteration and dyslipidemia. While the associations between serum cobalt (Co) with lipid profile levels and risk of dyslipidemia have not been explored in elderly population, and the underlying mechanisms remain unclear. All eligible 420 elderly people were recruited in three communities of Hefei City in this cross-sectional study. Peripheral blood samples and clinical information were collected. The level of serum Co was detected through ICP-MS. The biomarkers for systemic inflammation (TNF-α) and lipid peroxidation (8-iso-PGF2α) were measured with ELISA. Each 1-unit increase of serum Co was related with 0.513 mmol/L, 0.196 mmol/L, 0.571 mmol/L, and 0.303 g/L in TC, TG, LDL-C, and ApoB, respectively. Multivariate linear and logistic regression analyses indicated that the prevalence of elevated TC, elevated LDL-C, and elevated ApoB were gradually increased according to tertiles of serum Co concentration (all P trend < 0.001). The risk of dyslipidemia was positively correlated with serum Co (OR = 3.500; 95% CI 1.630 ~ 7.517). Moreover, the levels of TNF-α and 8-iso-PGF2α were gradually risen in parallel with elevating serum Co. The elevation of TNF-α and 8-iso-PGF2α partially mediated Co-caused elevation of TC and LDL-C. Environmental Co exposure is associated with elevated lipid profile levels and dyslipidemia risk among elderly population. Systemic inflammation and lipid peroxidation partially mediate the associations of serum Co with dyslipidemia.

The Development of Dyslipidemia in Chronic Kidney Disease and Associated Cardiovascular Damage, and the Protective Effects of Curcuminoids

Chronic kidney disease (CKD) is a health problem that is constantly growing. This disease presents a diverse symptomatology that implies complex therapeutic management. One of its characteristic symptoms is dyslipidemia, which becomes a risk factor for developing cardiovascular diseases and increases the mortality of CKD patients. Various drugs, particularly those used for dyslipidemia, consumed in the course of CKD lead to side effects that delay the patient's recovery. Therefore, it is necessary to implement new therapies with natural compounds, such as curcuminoids (derived from the Curcuma longa plant), which can cushion the damage caused by the excessive use of medications. This manuscript aims to review the current evidence on the use of curcuminoids on dyslipidemia in CKD and CKD-induced cardiovascular disease (CVD). We first described oxidative stress, inflammation, fibrosis, and metabolic reprogramming as factors that induce dyslipidemia in CKD and their association with CVD development. We proposed the potential use of curcuminoids in CKD and their utilization in clinics to treat CKD-dyslipidemia.