Genetically predicted waist circumference and risk of atrial fibrillation

Causal associations of particulate matter 2.5 and cardiovascular disease: A two-sample mendelian randomization study

BACKGROUND

According to epidemiological studies, particulate matter 2.5 (PM2.5) is a significant contributor to cardiovascular disease (CVD). However, making causal inferences is difficult due to the methodological constraints of observational studies. In this study, we used two-sample Mendelian randomization (MR) to examine the causal relationship between PM 2.5 and the risk of CVD.

METHODS

Genome-wide association study (GWAS) statistics for PM2.5 and CVD were collected from the FinnGen and UK Biobanks. Mendelian randomization analyses were applied to explore the causal effects of PM2.5 on CVD by selecting single-nucleotide polymorphisms(SNP) as instrumental variables.

RESULTS

The results revealed that a causal effect was observed between PM2.5 and coronary artery disease(IVW: OR 2.06, 95% CI 1.35, 3.14), and hypertension(IVW: OR 1.07, 95% CI 1.03, 1.12). On the contrary, no causal effect was observed between PM2.5 and myocardial infarction(IVW: OR 0.73, 95% CI 0.44, 1.22), heart failure(IVW: OR 1.54, 95% CI 0.96, 2.47), atrial fibrillation(IVW: OR 1.03, 95% CI 0.71, 1.48), and ischemic stroke (IS)(IVW: OR 0.98, 95% CI 0.54, 1.77).

CONCLUSION

We discovered that there is a causal link between PM2.5 and coronary artery disease and hypertension in the European population, using MR methods. Our discovery may have the significance of public hygiene to improve the understanding of air quality and CVD risk.

Associations between waist circumference, central obesity, and the presence of non-valvular atrial fibrillation patients with heart failure

Background

Reportedly, there is a clear correlation between waist circumference (WC) and atrial fibrillation (AF). However, there is no specific discussion about the relationship between WC and non-valvular AF (NVAF) patients with heart failure. Our main purpose was to study the relationship between WC, central obesity (CO), and NVAF patients with heart failure.

Methods

This is a retrospective cohort study. A total of 3,435 patients with NVAF in the First Affiliated Hospital of Xinjiang Medical University from January 2015 to December 2017 were enrolled. The targeted independent variable and the dependent variable were WC and CO and the presence of NVAF with heart failure, respectively. Univariate, multiple regression, and subgroup analyses were used to analyze their relationship. We used the receiver operating characteristic (ROC) curve to choose the better predictor of NVAF with heart failure between WC and CO and calculated the proposed cut-off value of WC in males and female separately.

Results

The identified risk factors of NVAF with heart failure were sex, height, WC, CO, body mass index (BMI), fasting blood glucose (FBG), homocysteine (HCY), triglyceride (TG), low-density lipoprotein cholesterol (LDLC), hypertension, diabetes mellitus (DM), stroke, vascular disease, and plaque. Then, a binary logistic regression model indicated that the occurrence of NVAF patients with heart failure increased 10% with WC increasing 1 cm and had a 2.8-fold increased risk with CO compared to those without. The predictive value [area under the ROC curve (AUC)], specificity, sensitivity, and accuracy of WC for the disease risk of NVAF with heart failure were higher than those of CO. The proposed cut-off value of WC was 91.85 cm for males and 93.15 cm for females. The diagnostic value of WC for NVAF with heart failure was higher for females than it was for males.

Conclusions

Our research found that WC is related to the presence of heart failure in the patients with NYAF and can predict the presence of NVAF with heart failure. Our findings may help to improve the treatment and care strategies of NVAF individuals with abdominal obesity.

Causal relationships between human blood metabolites and intracranial aneurysm and aneurysmal subarachnoid hemorrhage: a Mendelian randomization study

Objective

The aim of this study was to assess the causal relationships between blood metabolites and intracranial aneurysm, aneurysmal subarachnoid hemorrhage, and unruptured intracranial aneurysm.

Methods

Our exposure sample consisted of 7,824 individuals from a genome-wide association study of human blood metabolites. Our outcome sample consisted of 79,429 individuals (7,495 cases and 71,934 controls) from the International Stroke Genetics Consortium, which conducted a genome-wide association study of intracranial aneurysm, aneurysmal subarachnoid hemorrhage, and unruptured intracranial aneurysm. We identified blood metabolites with a potential causal effect on intracranial aneurysms and conducted sensitivity analyses to validate our findings.

Results

After rigorous screening and Mendelian randomization tests, we found four, two, and three serum metabolites causally associated with intracranial aneurysm, aneurysmal subarachnoid hemorrhage, and unruptured intracranial aneurysm, respectively (all P < 0.05). Sensitivity analyses confirmed the robustness of these associations.

Conclusions

Our Mendelian randomization analysis demonstrated causal relationships between human blood metabolites and intracranial aneurysm, aneurysmal subarachnoid hemorrhage, and unruptured intracranial aneurysm. Further research is required to explore the potential of targeting these metabolites in the management of intracranial aneurysm.