在血糖特征上的MRI衍生的身体组成的性别特异因果关系:门德尔的随机化和观察性研究
Yijie Zhu1,2, Qi Wang1,2, Huajie Dai1,2
1Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Diabetes, obesity & metabolism
|November 3, 2023
概括
较高的腺骨脂肪组织 (GFATadj) 和尾瘦质量 (ALMadj) 对2型糖尿病风险产生保护性影响,GFATadj在两性中都显示出一致的保护作用. 这突显了性别特定的身体成分对糖尿病的影响.
科学领域:
- 遗传学 是一个遗传学.
- 代谢疾病研究研究
- 身体组成分析 身体成分分析
背景情况:
- 2型糖尿病 (T2D) 是一种复杂的代谢障碍,受遗传和环境因素的影响,包括身体成分.
- 了解不同体脂和瘦肉量储存与T2D之间的性别特异性因果关系对于有针对性的预防和治疗策略至关重要.
研究的目的:
- 研究特定的体质成分测量对2型糖尿病和相关的血糖特征的性别特异性因果作用.
- 使用门德尔随机化 (MR) 推断身体组成和T2D之间的因果关系,考虑性别差异.
主要方法:
- 从全基因组关联研究中利用性别特定的总结统计数据,对腹部皮下脂肪组织,内脏脂肪组织 (VATadj),关节骨脂肪组织 (GFATadj) 和脂肪质量调整后的尾瘦质量 (ALMadj) 进行研究.
- 采用单变量和多变量门德尔随机化 (MR) 分析.
- 使用人体特征的MR分析和基因关联分析与个人级数据的验证结果.
主要成果:
- 在女性中,较高的GFATadj和ALMadj显示对2型糖尿病有因果保护作用.
- 内脏脂肪组织 (VATadj) 与血糖特征的风险增加有关.
- 多变量MR证实GFATadj对女性的T2D具有强大的保护作用,对男性具有名义上显著的保护作用,独立于其他脂肪储存.
结论:
- 身体成分对2型糖尿病风险具有性别特异的因果影响.
- 增加的腺脂肪组织 (GFATadj) 在两性中都显示出对2型糖尿病的独立保护作用.
相关概念视频
Human Genetics
587
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
The complex relationship between genetics and psychology is observable through common biological components such...
587
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
Study Designs in Epidemiology
234
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...
234
Behavioral Genetics and Its Designs
381
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
381
Obesity
509
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
509
Cause and Effect
10.9K
While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
10.9K


