血homocysteine水平和脑内出血:一个门德尔的随机化分析
Shuheng Chen1, Xiangli Guo2, Yingchao He1
1Department of Neurology, Fujian Provincial Hospital, Fuzhou, CHN.
Cureus
|July 21, 2025
概括
高水平的同类氨酸 (Hcy) 会增加自发性脑内出血 (ICH) 的风险. 这项遗传研究表明,降低同类氨酸可能有助于预防ICH,特别是在遗传倾向的个体中.
科学领域:
- 神经学 神经学
- 遗传学 是一个遗传学.
- 流行病学 流行病学
背景情况:
- 过高homocysteinemia是已知的缺血性中风的危险因素.
- 在出血性中风,特别是自发性脑内出血 (ICH) 中,高水平homocysteine (Hcy) 的作用尚未得到充分证实.
- 升高的Hcy可能通过内皮功能障碍,氧化应激和细胞外基质降解导致血管壁脆弱.
研究的目的:
- 为了研究血类固醇水平和自发性脑内出血 (ICH) 之间的潜在因果关系.
- 为了确定是否与更高的同类氨酸水平的遗传倾向与增加的ICH风险有关.
主要方法:
- 利用孟德尔的随机化 (MR) 分析与大规模的全基因组关联研究 (GWAS) 数据.
- 采用了13个与同类氨酸水平相关的独立遗传变异 (SNP) 作为工具变量.
- 分析了来自欧洲祖先种群的数据,包括GWAS的44,147个个体和7,763个ICH病例和来自FinnGen数据库的412,105个对照.
主要成果:
- 具有更高血类固醇水平的遗传倾向与自发性ICH的风险增加有显著的关联.
- 基因预测的同类半氨酸的每一个单位增加都与ICH的41%更高的几率有关 (OR = 1.41,P = 0.0046).
- 敏感性分析,包括MR-Egger回归和Cochran的Q测试,证实了研究结果的稳定性,并没有发现明显的类或异质性的证据.
结论:
- 血homocysteine水平与自发脑内出血的风险增加有关.
- 这些发现支持研究降低同类氨酸水平的策略,作为潜在的ICH预防措施.
- 针对同类半氨酸的向可能对具有基因倾向于高水平的个体特别有益.
相关概念视频
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers
217
Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
217
Hypothesis Test for Test of Independence
3.7K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
H0: The two variables (factors)...
3.7K
Genome-wide Association Studies-GWAS
14.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
14.3K
Confounding in Epidemiological Studies
265
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
265
Test for Homogeneity
2.1K
The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
2.1K
Hazard Ratio
255
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
For example, in a clinical trial...
255


