Related Experiment Video
Updated: Feb 6, 2026

06:35
Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 24, 2010
17.4K
Genetically predicted artificial sweeteners and stroke susceptibility: a multivariable Mendelian randomization study
Zurong Song1, Hua Li2, Yan Zhang3
1Department of Medicine, Chuzhou City Vocational College, Chuzhou, Anhui, China.
The International Journal of Neuroscience
|February 5, 2026
Summary
Artificial sweeteners, especially in tea, may increase stroke risk. Sucralose metabolites also showed a link to cardioembolic stroke, though further research is needed to confirm these findings.
Area of Science:
- Nutritional Epidemiology
- Genetic Epidemiology
Background:
- Artificial sweeteners are widely used as sugar substitutes.
- Understanding their potential health impacts, such as on stroke risk, is crucial.
Purpose of the Study:
- To investigate the causal associations between artificial sweetener consumption and stroke risk using a Mendelian randomization (MR) design.
Main Methods:
- A two-sample MR design was employed using genome-wide association study (GWAS) summary data.
- Analyses included inverse variance weighted (IVW) methods, sensitivity analyses (Cochran's Q-test, MR-Egger, MR-PRESSO, leave-one-out), and multivariate MR (MVMR).
Main Results:
- Artificial sweeteners in tea showed a nominal association with increased small vessel stroke risk.
- Low-calorie drink intake and sucralose metabolite levels were nominally linked to cardioembolic stroke.
- After adjustments in MVMR, associations between tea-based sweeteners and small vessel stroke, and sucralose metabolites and cardioembolic stroke, remained significant, though attenuated by BMI or beverage habits.
Conclusions:
- This MR study suggests potential associations between artificial sweeteners (particularly in tea) and sucralose metabolites with specific stroke types.
- Confounding by adiposity or beverage habits may influence these associations.
- Findings warrant cautious interpretation and further investigation.
Related Concept Videos
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs
250
Body:Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to...
250
Predicting Molecular Geometry
46.0K
VSEPR Theory for Determination of Electron Pair Geometries
46.0K
Magnetic Susceptibility and Permeability
2.4K
In linear magnetic materials, like paramagnets and diamagnets, magnetization is proportional to the magnetic field intensity. The constant of proportionality, a dimensionless number, is called magnetic susceptibility. The value of the susceptibility depends on the type of material.
When diamagnetic materials are placed under an external magnetic field, the moments opposite to the field are induced. Hence, the susceptibility for diamagnets has a minimal negative value of 10-5–10-6. Since...
When diamagnetic materials are placed under an external magnetic field, the moments opposite to the field are induced. Hence, the susceptibility for diamagnets has a minimal negative value of 10-5–10-6. Since...
2.4K
Random Error
9.8K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.8K
Random Variables
17.9K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.9K
Randomized Experiments
9.1K
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...
9.1K

