Precision Nutrition Framework for IBS: Microbiome-Informed Responder Prediction

A conceptual framework analyzing evidence from human IBS studies that paired dietary interventions with baseline microbiome and multi-omics measurements. The document, authored by Ya Zhou and last updated in May 2026, presents a roadmap for translating microbiome science into clinical decision support tools.

Use Cases

• Stratifying IBS patient response to low-FODMAP diets based on baseline microbial ecology.
• Developing predictive models using multi-omics data layers like taxa, functions, metabolites, and volatile signatures.
• Creating biologically interpretable decision rules for clinical deployment in real-world care.
• Harmonizing responder endpoints and adherence capture for validation-first study designs.

Strengths

• The framework is grounded in evidence mapping from human IBS studies.
• It specifies a detailed roadmap covering candidate data layers, modeling choices, and validation requirements.
• The document is licensed under CC-BY-4.0, allowing open reuse.

Limitations

• The dataset is a 23.4 KB DOCX document, not a structured data file.
• Row count and column-level documentation are absent.
• The description mentions endpoint heterogeneity and insufficient external validation as recurring challenges.

Provenance

Source

figshare

Collection Method

Conceptual analysis and evidence mapping from published human studies.

Freshness

Last updated 2026-05-29 04:45:09