相关实验视频
Updated: Mar 18, 2026

10:40
CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
Published on: April 25, 2022
3.0K
红细胞特征与前列腺癌之间的免疫介导途径:基于孟德尔随机化评估的因果关系网络
Ting Yang1,2, Jinyu Zhang2, Jiongzheng Li2
1Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province, China.
概括
红细胞计数 (RBC) 和红细胞分布宽度 (RDW) 可能会增加前列腺癌 (PCa) 风险,而平均体内血红蛋白 (MCH) 和平均体内血红蛋白度 (MCHC) 可能会降低. 免疫细胞调解这些关联.
科学领域:
- 血液学 血液学 血液学
- 免疫学 免疫学 免疫学
- 在瘤学瘤学.
背景情况:
- 前列腺癌 (PCa) 风险受到免疫和造血系统的影响.
- 有限的研究全面研究了这些系统对PCa风险的综合影响.
研究的目的:
- 调查血液构造参数与PCa风险之间的因果关系.
- 确定免疫细胞作为这些关系中介者的作用.
主要方法:
- 使用了门德尔随机化 (MR) 和调解的门德尔随机化 (MMR) 分析.
- 采用了九种分析方法来评估因果关系.
- 使用相关数据集构建因果网络.
主要成果:
- 红细胞计数 (RBC) 和红细胞分布宽度 (RDW) 与增加PCa风险的关系很小.
- 平均体质血红蛋白 (MCH) 和平均体质血红蛋白度 (MCHC) 与PCa风险的适度降低有关.
- MMR分析揭示了免疫细胞介导作用:HLA-DR对树突细胞 (12.09%) 介导红细胞作用;IgD+CD38-B细胞介导RDW (15.07%) 和MCHC (25.96%) 作用;IgD+CD38-B细胞也通过淋巴细胞 (29.03%) 介导MCHC作用.
结论:
- 包括红细胞,RDW,MCH和MCHC在内的造血参数与PCa风险有关.
- 免疫细胞在调解这些造血参数和PCa之间的关系方面发挥着重要作用.
相关概念视频
Dihybrid Crosses
82.3K
Overview
82.3K
Pedigree Analysis
90.5K
Overview
90.5K
X-linked Traits
59.3K
In most mammalian species, females have two X sex chromosomes and males have an X and Y. As a result, mutations on the X chromosome in females may be masked by the presence of a normal allele on the second X. In contrast, a mutation on the X chromosome in males more often causes observable biological defects, as there is no normal X to compensate. Trait variations arising from mutations on the X chromosome are called “X-linked”.
59.3K
Genetic Lingo
117.0K
Overview
117.0K
Regression Toward the Mean
7.3K
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...
7.3K
Protein Networks
4.7K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.7K