Component
Modeled human microbial agmatine-production capacity
Context-specific entity; species, compartment and exposure are stated on each claim.
1 recorded relationships. Experimental role, claim status and evidence remain attached to each record.
How nutrients influence it
Every nutrient with a recorded effect on this component, credited to the nutrient that acted rather than the chapter that recorded it. Open a nutrient to see the findings and the conditions they were measured under.
Other things that act on it
Enzymes, hormones, genes, and other components with a recorded effect. These are not nutrients, so they do not count toward the arrows above. Each finding names the chapter that recorded it.
How nutrients reach it in more than one step
Chains of two or more recorded steps that end here, grouped by the nutrient they start from. Each step is a separate finding, so a chain is a route a mechanism could take, not proof that it does.
Tracing routes…
What it does
Every recorded relationship this component is part of, grouped by its role. Plain wording comes first; the technical statement follows.
What acts on it
Microbial-community models predicted higher agmatine-production capacity in metformin-treated cohorts, including longitudinal treatment data.
Experimental context and source evidence
- availability_state
- biomarker_context Imported condition classification; unverified.
- evidence_access
- Primary full text; Figure 5
- experimental_model
- Human microbiome composition and diet-constrained metabolic modeling.
- limitations
- Not a direct measurement of plasma agmatine or proof that agmatine causes metformin benefits in humans.
- nutrient_topic
- Agmatine Sulfate collection; species, compartment, exposure, co-substrates and manipulation remain explicit. · Agmatine Sulfate
- plain_language
- The human evidence here concerns a modeled capacity rather than a measured causal mediator.
- primary_references
- Host-Microbe-Drug-Nutrient Screen Identifies Bacterial Effectors of Metformin Therapy. · 2019 · https://pubmed.ncbi.nlm.nih.gov/31474368/ · DOI 10.1016/j.cell.2019.08.003
- trigger_kind
- biomarker_context Imported condition classification; unverified.
Agmatine Sulfate: transport, guanidino metabolism, ion channels and cross-nutrient mechanisms (2026-09-20) · lines 420–426
AI-assisted research curation; primary references, access levels and experimental limitations individually identified. Not publisher full text. · supports · Human microbiome composition and diet-constrained metabolic modeling. · source_derived_draft · unverified_draft
## agmatine-sulfate-microbiome-prediction The human evidence here concerns a modeled capacity rather than a measured causal mediator. Microbial-community models predicted higher agmatine-production capacity in metformin-treated cohorts, including longitudinal treatment data. Model: Human microbiome composition and diet-constrained metabolic modeling. Limitations: Not a direct measurement of plasma agmatine or proof that agmatine causes metformin benefits in humans. Evidence access: Primary full text; Figure 5 Host-Microbe-Drug-Nutrient Screen Identifies Bacterial Effectors of Metformin Therapy. · 2019 · https://pubmed.ncbi.nlm.nih.gov/31474368/ · DOI 10.1016/j.cell.2019.08.003
Complete structured claim and evidence
The events it takes part in
A mechanism often involves more than two components. These are the full events, with every participant and its role.
Situations it appears in
Low-supply and faulty-machinery situations recorded in the chapters where this component plays a part.
In the sources
Preserved passages that mention this component, quoted exactly. Open one to read it in context.
Open hypotheses
Proposed ideas that involve this component. They are labeled as hypotheses and do not change any recorded statement.
This is a research prototype built from draft material. It is not medical advice, and its statements still await verification against the original studies.