Microbial Shift and Realignment Process (MSRP)
The Microbial Shift and Realignment Process (SRP) is the proprietary framework used to construct every microbiome signature in the Microbiome Signatures Database. It is designed to overcome the complexity, inconsistency, and heterogeneity of microbiome research by applying a structured, evidence-weighted approach to microbial pattern recognition and clinical translation. Rather than merely cataloging taxonomic associations, the […]
Microbiome Signatures identifies and validates condition-specific microbiome shifts and interventions to accelerate clinical translation. Our multidisciplinary team supports clinicians, researchers, and innovators in turning microbiome science into actionable medicine.
Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease—four years before the first published case study.
Overview
The Microbial Shift and Realignment Process (MSRP) is the proprietary framework used to construct every microbiome signature in the Microbiome Signatures Database. It is designed to overcome the complexity, inconsistency, and heterogeneity of microbiome research by applying a structured, evidence-weighted approach to microbial pattern recognition and clinical translation. Rather than merely cataloging taxonomic associations, the MSRP defines coherent, condition-specific patterns of dysbiosis by aligning microbial shifts with mechanistic plausibility, interventional reversibility, and reproducibility across study types. The result is a microbiome signature that not only reflects disease-associated trends, but also serves as a targetable framework for microbiome-guided clinical interventions.
Core Components
Systematic Literature Retrieval and Screening
Studies are identified using domain-specific queries across databases such as PubMed, Scopus, and Google Scholar. Search strategies integrate MeSH terms, taxonomic keywords, and study design filters (e.g., human, murine, in vitro) to ensure comprehensive inclusion of both disease- and microbiome-specific data. Screening prioritizes taxonomic resolution, sample type consistency, and reproducibility of findings across cohorts.
Manual Data Extraction and Taxonomic Harmonization
Microbial abundance data are manually extracted and mapped to standardized taxonomies (e.g., NCBI, GTDB) to ensure species-level precision. Synonyms are merged, and naming inconsistencies are corrected. Each taxon is categorized as enriched, depleted, or inconclusive, and is tagged at the most granular level reported.
Pattern Recognition and Inclusion Criteria
Only taxa that meet one or more of the following criteria are included in the signature:
Statistically significant abundance shifts in ≥2 independent studies.
High effect size in large or methodologically rigorous studies.
Mechanistic relevance via functional, immunologic, or metabolic pathways.
Each taxon is annotated with metadata: directionality of shift, sample type, taxonomic resolution, and DOI-linked references.
Designation of Major Microbial Associations (MMAs)
A subset of taxa are classified as Major Microbial Associations (MMAs) based on their potential causal, modulatory, or pathophysiological role. MMA selection prioritizes taxa with known virulence or metabolic factors, immune/hormonal modulatory effects, or associations with metal ions and xenobiotics relevant to the disease’s etiology.
Bidirectional Validation Using MBTIs
Where possible, microbiome-targeted interventions (MBTIs) are used to validate the signature. An MBTI must reverse the identified microbial shifts and improve clinical outcomes in relevant models. This dual validation reinforces both the signature’s integrity and the intervention’s legitimacy.
Continuous Refinement and Transparency
Every signature developed through the MSRP is version-controlled and accompanied by a last-updated date and methodological notes. Updates incorporate new evidence, taxonomic reclassifications, and evolving intervention data. All included studies are traceable through linked source tables and summaries on the signature page.
Why MSRP Matters
Traditional microbiome research often struggles to move from association to actionable insight, leaving clinicians without clear guidance. The Microbial Shift and Realignment Process (MSRP) bridges this gap by distilling noisy, heterogeneous data into structured, reproducible patterns of dysbiosis. It aligns microbial shifts with plausible therapeutic targets and validates those patterns using interventions that demonstrably reverse dysbiosis and improve clinical outcomes. Rather than offering yet another list of microbes, MSRP provides clinicians with a targetable, evidence-aligned framework designed to inform and guide real-world decision-making in microbiome-based care.
FAQ
Is MSRP based on AI or manual curation?
MSRP is manually curated using domain-specific literature review and standardized taxonomic reconciliation. No black-box inference.
How is MSRP different from a meta-analysis?
MSRP emphasizes pattern alignment, functional plausibility, and clinical actionability—not just pooled statistics.
Can I request re-analysis of a condition with new data?
Yes, we accept evidence submissions for ongoing validation.
Major Microbial Associations (MMAs) are fundamental in understanding disease-microbiome interactions and play a crucial role in advancing microbiome-targeted interventions aimed at treating or preventing diseases through microbial modulation.
Microbiome Targeted Interventions (MBTIs) are cutting-edge treatments that utilize information from Microbiome Signatures to modulate the microbiome, revolutionizing medicine with unparalleled precision and impact.