ReviewFrontiers in cellular and infection microbiology2026
Microbiome mediation analysis: methods, assumptions, and practical considerations.
Review in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 authors.
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Abstract
Microbiome mediation analysis provides a principled framework for understanding how environmental, behavioral, or clinical exposures influence human health through microbiomemediated biological pathways. However, its application is complicated by the compositional, sparse, and high-dimensional nature of microbiome data. A growing body of methods has been developed to address these challenges, drawing on structural equation modeling, counterfactual causal inference, distance-based testing, Bayesian variable selection, and nonparametric approaches. This paper reviews methodological developments designed to address these challenges and enable valid and interpretable mediation analysis in microbiome studies with particular emphasis on their underlying assumptions, limitations, and appropriate contexts of use, while also highlighting existing gaps and outlining future research directions.
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