Search PubMedSearch

PubMed · 42736743

A causal relationship between chronic pancreatitis and cardiovascular disease: A two-sample Mendelian randomization analysis.

Abstract

Current research suggests a link between chronic pancreatitis (CP) and cardiovascular disease (CVD), although the causality remains unclear. The aim of this study was therefore to conduct a 2-sample Mendelian randomization (MR) analysis to determine whether a causal relationship exists between CP and CVD. Summary-level data from publicly available genome-wide association studies of European populations were utilized for the MR analysis. Following quality control measures, independent single-nucleotide polymorphisms associated with CP and CVD were chosen as the genetic instruments. Four complementary MR methods were performed, namely the inverse variance weighted (IVW) method, weighted median, MR-Egger, and leave-one-out sensitivity. The IVW method revealed correlations between alcohol-induced CP and myocardial infarction (odds ratio [OR] = 1.001, 95% confidence interval [CI]: 1.000-1.002, P = .0010), as well as with large artery atherosclerosis stroke (OR = 1.067, 95% CI: 1.030-1.105, P = .0003). The IVW method also suggested that CP was significantly associated with stroke (OR = 1.040, 95% CI: 1.015-1.065, P = .0015) and with ischemic stroke (OR = 1.041, 95% CI: 1.005-1.078, P = .0024). These results remained robust and consistent in the sensitivity analysis. This MR study indicates a significant causal relationship between alcohol-induced CP and elevated risks of myocardial infarction and large artery atherosclerosis stroke, and a causal link between CP and stroke as well as ischemic stroke.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Shien Shen, Yuenan Zhu, Jieqiong Lin, Liang Zhao, Xiaona Shao, Nuonan Yang, Yuning Huang, Ruiwei Shen, Jianwei Shen. 2026-09-11. A causal relationship between chronic pancreatitis and cardiovascular disease: A two-sample Mendelian randomization analysis.. https://doi.org/10.1097/md.0000000000050612

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Exploring the role of gut microbiota in coronary atherosclerosis through lipoprotein-mediated cholesterol transport and distribution: A Mendelian randomization analysis.

We employed Mendelian randomization (MR) to explore causal relationships between gut microbiota (GM), coronary atherosclerotic heart disease (CAHD), and potential metabolic mediators. We utilized summary statistics from genome-wide association studies (GWAS), encompassing data on 473 GM traits from comprehensive microbiome GWAS, 61 lipoprotein-mediated cholesterol transport and distribution data from large-scale metabolic biomarker studies, and coronary atherosclerosis (CA) data from the GWAS catalog (study accession GCST90043957) involving 456,348 European participants. Bidirectional MR analyses were conducted to investigate the causal relationships between GM and CA. Two-sample Mendelian randomization analyses were performed to identify potential mediating metabolites and quantify the mediation proportion. Ultimately, the GM GCA-900066755, identified through MR as having a potential causal relationship, was selected to investigate its potential effects on CA by influencing cholesterol transport and distribution. Our results indicated that GCA-900066755 was positively associated with an increased risk of CA (odds ratio = 1.156). CA did not significantly affect the levels of GCA-900066755 (odds ratio = 1.009). GCA-900066755 was negatively correlated with total cholesterol levels in medium high-density lipoprotein, which reduced CA risk, and was positively correlated with total cholesterol levels in low-density lipoprotein (LDL), large LDL, medium LDL, and small LDL, which were positively associated with CA. Mediation analysis showed 7 data points mediating the association between GCA-900066755 and CA. Our MR study supports a causal relationship between specific GM groups and the risk of CAHD, highlighting that cholesterol traits are not merely outcomes associated with the relationship between GM and CAHD, but are important mediating factors. Understanding the biological mechanisms of these traits can provide a concrete foundation for future targeted interventions.

Mendelian Randomization Analysis

Investigating the causal effects of physical activity and sedentary behavior on hernia risk: A two-sample Mendelian randomization approach.

The global prevalence of hernia is increasing, particularly due to the aging population. Although physical activity and sedentary behavior are known to influence various health outcomes, their specific roles in hernia development remain inadequately investigated. This study aimed to systematically assess the causal relationships between physical activity, sedentary behavior, and the risk of hernia development using Mendelian randomization (MR) analysis. We used genome-wide association study data from the UK Biobank and FinnGen Biobank to explore the causal effects of sedentary behavior on hernia risk via 5 distinct MR approaches. To ensure the reliability of our risk models, we performed sensitivity analyses, including Cochran's Q test, MR-Egger intercept analysis, leave-one-out analysis, and funnel plots. Furthermore, we employed multivariable MR analysis to determine the independent causal effects of both physical activity and sedentary behavior. Our findings indicate that moderate-to-vigorous physical activity (MVPA) was significantly associated with an increased risk of inguinal hernia, with an odds ratio of 1.844 (95% confidence interval, 1.181-2.879; P = .007). Associations between sedentary behavior and diaphragmatic or umbilical hernia were inconsistent across methods and were sensitive to pleiotropy; thus, no robust causal relationship was established. Multivariable MR analysis further confirmed the independent and significant causal relationship between MVPA and inguinal hernia, with an odds ratio of 1.901 (95% confidence interval, 1.098-3.291; P = .022). Our study highlights a significant association between MVPA and an increased risk of inguinal hernia, suggesting that physical activity should be carefully considered in preventive strategies for hernias. However, the relationship between sedentary behavior and hernia development warrants further investigation.

Mendelian Randomization Analysis

A flexible framework for robust and efficient Mendelian randomization with debiasing.

Mendelian randomization (MR) has been widely used to infer causal relationships between exposures and outcomes in epidemiological studies. However, classical MR assumptions can be violated when genetic variants are associated with outcomes through pathways other than the exposure, leading to uncorrelated and/or correlated pleiotropy. Additionally, measurement error arising from the inherent uncertainty in summary statistics obtained from large-scale genome-wide association studies can introduce bias into the causal effect estimate. To address these issues, we develop a debiased mixture inverse variance weighting ($\mathsf{dmIVW}$) method with three major advantages. First, it is capable of simultaneously handling various types of pleiotropy and eliminating the bias caused by uncertainty. Second, it can guard against distortion caused by invalid genetic variants while effectively harnessing their information. Third, our unified framework facilitates a fair comparison and combination of a series of submodels, encompassing several popular MR methods as special cases. Through real data applications, the effectiveness and robustness of $\mathsf{dmIVW}$ in estimating the causal effects of risk factors on common diseases are demonstrated.

Mendelian Randomization Analysis