WikiBiome Overview

The metals-microbiome-disease knowledge base powering Cureva.ai

WikiBiome is a structured, interlinked knowledge base mapping the relationships between environmental metal exposure, gut microbiome disruption, pathogen virulence, and human disease. Built from systematic review of primary research literature, it provides the evidence foundation for Cureva.ai's personalized health insights.

The Core Thesis

Environmental and dietary metals (lead, cadmium, arsenic, mercury, nickel, iron, copper, and others) are associated with changes in gut microbial communities in predictable ways. This metal-driven dysbiosis depletes beneficial SCFA-producing bacteria while enriching metal-tolerant pathobionts equipped with siderophores metallophores, biofilm systems, and metal-dependent virulence enzymes (urease, hydrogenase, glyoxalase). A proposed cascade — barrier failure, endotoxemia, systemic inflammation, and metabolite disruption — connects environmental metal exposure to diseases spanning neurodegeneration, autoimmunity, cancer, metabolic syndrome, and reproductive health.

This framework represents a synthesis of emerging evidence. Many findings are from observational studies, animal models, or small clinical trials. Prospective validation is ongoing.

This is not a single-pathway hypothesis. It is a convergent framework where metals and microbes activate the same inflammatory machinery (nf kappa b, NLRP3, oxidative stress), making their individual contributions clinically indistinguishable — and requiring that both be addressed for effective intervention.

The framework explains why diseases as diverse as Parkinson's, Crohn's, PCOS, and breast cancer share overlapping microbiome signatures: the same metal-driven ecological pressure (loss of Faecalibacterium, Roseburia, Lachnospiraceae; enrichment of Enterobacteriaceae, Fusobacterium, Candida) operates across disease contexts, with tissue-specific consequences determined by genetic susceptibility, exposure route, and developmental timing.

How to Navigate WikiBiome

WikiBiome is organized into seven content categories:

Category	Count	What It Contains
Sources	1426	Primary research papers — the evidence base. Each source page summarizes findings and links to entities and concepts it informs.
Entities	130	The "nouns" of the wiki: metals/metalloids (19), microbes (83), and diseases (28). Each entity page covers metallomic signatures, microbiome connections, environmental exposure links, dietary paradoxes, and interventions.
Concepts	88	Mechanisms and processes: dysbiosis, inflammation, ferroptosis, gut brain axis, nutritional immunity, metalloestrogens, short chain fatty acids, and more. These are the "verbs" connecting entities to each other.
Disease Signatures	13	Detailed microbiome and metabolite profiles for specific diseases, with enriched/depleted taxa, virulence enzyme inventories, and ecological models.
Interventions	5	Evidence-based therapeutic approaches: probiotics, dietary protocols, specific microbial strains.
STOPs	11	Counter-indicated actions — supplements or treatments that may worsen disease through the metal-microbiome lens (e.g., oral iron supplementation in Crohn's, zinc supplementation in endometriosis).
Analyses	5	Cross-cutting analyses: the metal disease matrix, dietary metal paradoxes, shared pathobionts across signatures, and life-stage exposure mapping.

Navigation pattern: Start with a disease entity (e.g., parkinsons disease) to see its full metallomic and microbiome profile. Follow links to concepts (e.g., ferroptosis, gut brain axis) for mechanistic depth. Check the corresponding signature page for taxonomic detail. Review linked STOPs for counter-indicated interventions. Trace back to source pages for primary evidence.

The Evidence Base

WikiBiome synthesizes 1426 source papers across 130 entities spanning 19 metals, 83 microbes, and 28 diseases. Key cross-cutting analyses include:

metal disease matrix — maps which metals are elevated, depleted, or dysregulated across all 20 diseases, revealing shared signatures (Cu elevation + Zn depletion in cancers; Fe dysregulation in neurodegeneration and IBD).
shared pathobionts across signatures — identifies microbes enriched across multiple diseases (Enterobacteriaceae, Fusobacterium, Candida albicans), suggesting common metal-driven ecological dynamics.
dietary metal paradoxes — documents cases where "healthy" dietary recommendations inadvertently increase metal exposure (plant-based diets and nickel; fiber and iron in IBD).

How WikiBiome Relates to Cureva.ai

WikiBiome is the knowledge layer that informs Cureva.ai's reasoning. When Cureva.ai evaluates a user's health profile — their diagnoses, lab results, diet, environmental exposures, and supplement regimen — it draws on WikiBiome's entity relationships, metallomic signatures, microbiome patterns, and intervention/STOP logic to generate personalized, evidence-grounded insights.

The STOP system is particularly important: WikiBiome encodes cases where standard medical recommendations (e.g., iron supplementation for anemia) may be counterproductive when viewed through the metal-microbiome lens (e.g., oral iron feeding siderophore-producing pathogens in Crohn's). These nuances, invisible to conventional clinical reasoning, are precisely what Cureva.ai is designed to surface.

Key Principles

Metals are not just toxicants — they are ecological selectors. Metals are associated with changes in microbial communities by killing sensitive commensals and favoring organisms equipped with efflux pumps, siderophores, and metal-dependent virulence enzymes.
Dysbiosis is a cause, not just a consequence. ZIP8 A391T mice develop microbiome shifts months before inflammation appears. The microbiome change drives the disease, not the reverse.
Host defense can become pathology. Nutritional immunity (hepcidin, calprotectin, lactoferrin) restricts metals from pathogens but also starves commensals, deepening dysbiosis.
Diet is a double-edged sword. "Healthy" foods can carry significant metal loads. The dietary metal paradoxes analysis documents cases where standard dietary advice may be counterproductive for metal-sensitive individuals.
Comorbidities share roots. The high rates of comorbidity across diseases in this wiki (depression + IBD, T2D + CVD, PCOS + endometriosis) reflect shared metal-microbiome-inflammation pathways, not coincidence.