Related Experiment Video
Updated: May 4, 2026
16:43
Murine Spinotrapezius Model to Assess the Impact of Arteriolar Ligation on Microvascular Function and Remodeling
Published on: March 3, 2013
12.2K
Ischemic stroke and sarcopenia have an asymmetric bidirectional relationship based on a two-sample Mendelian
Fan-Qiao Meng1, Yu Zhang2, Xiao-Xin Bai1
1Department of Postgraduate, School of Clinical Medicine, Beihua University, Jilin, China.
Frontiers in Neurology
|October 25, 2024
Summary
This study found that reduced appendicular lean mass (ALM) is linked to small vessel stroke (SVS), while decreased ALM may protect against cardioembolic stroke (CES). CES also appears to affect walking speed, offering new insights into stroke prevention.
Area of Science:
- Gerontology
- Neurology
- Genetics
Background:
- Investigating the link between age-related conditions like sarcopenia and ischemic stroke (IS).
- Utilizing a two-sample Mendelian randomization (MR) study design to explore potential causal relationships.
Purpose of the Study:
- To determine the causal relationship between sarcopenia and ischemic stroke (IS) and its subtypes.
- To explore how sarcopenia-related traits influence the risk of different types of stroke.
Main Methods:
- A two-sample bidirectional Mendelian randomization (MR) study was conducted.
- Genetic instruments for sarcopenia were sourced from the UK Biobank; IS data came from the MEGASTROKE consortium.
- Inverse variance weighting (IVW) was the primary analysis method, with heterogeneity and pleiotropy assessments.
Main Results:
- Reduced appendicular lean mass (ALM) showed a negative association with small vessel stroke (SVS) and a positive association with cardioembolic stroke (CES).
- SVS was negatively associated with right-hand grip strength, but other sarcopenia measures did not show significant causal links with IS subtypes.
- CES was negatively associated with usual walking pace.
Conclusions:
- Decreased ALM is associated with SVS and may be protective against CES.
- CES may impact walking speed, suggesting complex interactions between sarcopenia and stroke.
- Findings offer insights for the prevention and management of sarcopenia and stroke.
Related Concept Videos
01:52Regression 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
02:32Position-effect Variegation
5.6K
In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
5.6K
01:13Randomized Experiments
6.3K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
6.3K
01:17Wald-Wolfowitz Runs Test II
659
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
659
01:21Friedman Two-way Analysis of Variance by Ranks
595
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
595
01:23McNemar's Test
1.0K
McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
1.0K