Related Experiment Video
Updated: Feb 1, 2026

Using Coculture to Detect Chemically Mediated Interspecies Interactions
Published on: October 31, 2013
Clinical interpretation of negative mediated interaction
Unal Mutlu1, Mohammad Arfan Ikram1, Mohammad Kamran Ikram1,2
1Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Background:
Recently, using a counterfactual framework, a causal mediation analysis has been formalized to decompose the total effect of a time-fixed exposure on an outcome into four components that can be loosely defined as being components due to mediation only, interaction only, mediated interaction and neither. The interpretation of the estimated effect sizes is challenging when these components of the total effect are of the opposite sign compared with each other. Particularly, a negative mediated interaction might be intuitively difficult to conceptualize and, so far, lacks an easy-to-understand biological or mechanical interpretation.
Methods:
In this paper, we focus on negative mediated interaction, and propose an interpretation using biological examples. For negative mediated interaction to be present, the effect of interaction on the outcome and the effect of the exposure on the mediator should be in opposite directions.
Results:
In this article, we give examples of biological and biochemical processes that may exhibit negative mediated interaction, such as drug treatment in clinical practice, allosteric effects of enzymes, different adaptations in the cardiovascular system and its effect on brain health, and antibiotic drug-drug interactions.
Conclusions:
We aim to make researchers realize that negative-effect estimates might reflect relevant biological processes in the mechanism under study.
More Related Videos
11:21Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions
Published on: January 20, 2022
09:52A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
Published on: January 10, 2025
Related Concept Videos
Interpreting R Charts
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
Interpreting Run Charts
Negative Regulator Molecules
Positive, Negative, and Zero Work
Receptor-mediated Endocytosis
Interpretation of Confidence Intervals
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...