基础代谢率对心血管疾病的因果影响:双向孟德尔随机化研究
Peng Zhao1,2, Feiyuan Han1, Xinyu Liang1
1Department of Cardiology The Second Affiliated Hospital of Harbin Medical University Harbin China.
Journal of the American Heart Association
|December 29, 2023
概括
高基底代谢率 (BMR) 会增加心力衰竭和心房的风险. 这项研究使用了门德尔的随机化来证实BMR与这些心血管疾病 (CVD) 之间的因果关系.
科学领域:
- 遗传学 是一个遗传学.
- 心血管医学 心血管医学
- 代谢研究研究 代谢研究
背景情况:
- 基础代谢率 (BMR) 影响健康,但其与心血管疾病 (CVD) 的因果关系尚不清楚.
- 之前的研究尚未确定BMR是否直接影响心血管疾病风险.
研究的目的:
- 研究基底代谢率 (BMR) 与患五种主要心血管疾病 (CVD) 的风险之间的因果关系.
- 为了确定心血管疾病是否也因果关系地影响BMR.
主要方法:
- 利用两样本的门德尔随机化 (MR) 设计,对BMR和五种心血管疾病进行全基因组关联统计.
- 采用逆方差加权来估计因果效应,并进行多重灵敏度分析以确定稳定性.
- 执行反向MR和多变量MR以评估双向因果关系和独立效应.
主要成果:
- 基因预测的BMR显示与心力衰竭 (OR 1.53),心房 (OR 2.12) 和大动脉动脉瘤 (OR 1.64) 的风险增加有显著的积极关联.
- 在BMR和冠状动脉疾病或缺血性中风之间没有发现显著的因果关系.
- 反向MR分析没有揭示心血管疾病对BMR的显著因果作用.
结论:
- 提供了强有力的证据,证明遗传预测的BMR对心力衰竭和心房动的独立因果作用.
- 研究结果表明,BMR是特定心血管疾病的重要风险因素,对临床预防和治疗策略有影响.
更多相关视频
06:04Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
899
04:54Using a Combination of Indirect Calorimetry, Infrared Thermography, and Blood Glucose Levels to Measure Brown Adipose Tissue Thermogenesis in Humans
Published on: June 2, 2023
1.4K
相关概念视频
Causality in Epidemiology
421
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
421
Metabolic Rate
390
The human body is a powerhouse of energy, with every cell performing numerous functions that require energy. This energy production and consumption is measured by the metabolic rate, which quantifies the total heat generated by all the body's chemical reactions and mechanical work. This measurement helps to determine the rate of kilocalorie (kcal) consumption needed to fuel all ongoing activities.
The Basal Metabolic Rate (BMR) measures the energy expended at rest.
Several factors influence...
The Basal Metabolic Rate (BMR) measures the energy expended at rest.
Several factors influence...
390
Study Designs in Epidemiology
225
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
225
Criteria for Causality: Bradford Hill Criteria - II
321
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
321
Pathophysiology of Cardiac Performance
671
Typical heart performance is influenced by heart rate, rhythm, myocardial contraction, and metabolism or blood flow. The cardiac muscle exhibits distinct electrophysiological features, including pacemaker activity and calcium channel control, which play a vital role in the heart's response to various drugs. The autonomic nervous system, comprising the sympathetic and parasympathetic branches, regulates heart rate. Sympathetic activation increases heart rate, while parasympathetic activation...
671
Regression Toward the Mean
6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
