Transparency

How Gut 2 Plate Reads Your Test Results

We publish our full marker-to-food mapping logic — not a black box, not AI guesswork. Every food recommendation traces back to a specific biomarker, a defined threshold, and a published mechanism. This page is the source of truth.

How it works: Gut 2 Plate does not infer food reactions from AI predictions. The mapping between gut markers and food categories is hardcoded — each rule is explicit, auditable, and consistent across all users. The only role of AI is generating meal plans and recipes from the resulting food category lists.

Only flagged or abnormal values trigger food recommendations. Normal results are not penalized — a clean calprotectin result means no inflammatory foods are flagged. You're only restricted where your data shows a reason.

Design principles

Auditable

Hardcoded rules, not models

Every biomarker threshold and the foods it maps to are written as explicit logic in the parser. No weight matrices, no embeddings, no model output interpretation. Anyone can read the source and verify the mapping.

Reproducible

Same test, same results

The same PDF uploaded by two different practitioners produces identical food recommendations. The parser extracts numeric thresholds from the PDF and applies fixed rules — no randomness, no session state.

Conditional

Only abnormal triggers action

Normal reference-range results are treated as a clean bill of health. No foods are flagged for avoidance unless the marker value crosses the defined threshold. Normal = not penalized.

Citation-backed

Mechanistic food logic

Every Avoid or Encourage recommendation traces to a published mechanism: e.g., gluten triggers zonulin release, FODMAPs feed bacterial fermentation, sugar promotes Candida growth. Citations included where the science is well-established.

Normal values are not penalized. If your test shows all markers within reference range, Gut 2 Plate generates a gut-supportive meal plan without any foods flagged for avoidance. You receive a balanced, nutrient-dense plan regardless of test format. Try it with your report →

Test format overview
KBMO FIT-176 / FIT-132

IgG Food Sensitivity Panel

Measures IgG antibody reactions to 176 (or 132) individual foods. Food-specific reactions are reported on a 0–4+ scale. Also includes a Gut Barrier Panel with zonulin, occludin, LPS, and Candida markers.

Reaction Level Category Mechanism
4+ (Severe) Avoid High IgG = significant immune activation on exposure. Repeated consumption drives chronic low-grade inflammation and gut barrier disruption.
3+ (High) Avoid Same mechanism as 4+. Clinically significant reaction requiring elimination.
2+ (Moderate) Minimize Moderate IgG reaction. Occasional exposure may be tolerable but regular intake perpetuates symptoms.
1+ (Mild) Enjoy Low-level reactivity. Mild reactions typically diminish with gut healing over time.
Negative / 0 Enjoy No detectable IgG reaction. Safe to eat freely with no restriction.

Gut Barrier Panel markers (FIT only):

Marker What it indicates Food implication
Zonulin Intestinal permeability / tight junction dysfunction Strict gluten avoidance + minimize high-FODMAP foods
Occludin Tight junction integrity (complementary to zonulin) Reinforces zonulin signal — same gluten + FODMAP implication
LPS (Lipopolysaccharides) Bacterial endotoxin translocation across gut barrier Anti-inflammatory diet: strictly avoid alcohol, processed foods
Candida IgG/IgA response to Candida overgrowth Sugar and refined carbohydrate avoidance
GI-MAP

Gastrointestinal Microbiome Analysis

Reports quantitative biomarkers across four categories: pathogens, beneficial bacteria, inflammatory markers, and digestive function. Each category maps to a distinct food protocol.

Marker / Pattern What it indicates Avoid Encourage
Pathogen elevation
(H. pylori, C. diff, parasites, Salmonella, etc.)
Any pathogen flagged as elevated above reference range Sugar, alcohol, processed foods, gluten, dairy Garlic, ginger, turmeric, coconut oil, bone broth, steamed vegetables, lean proteins
Low beneficial bacteria
(Lactobacillus, Bifidobacterium, Akkermansia below range)
Deficient commensal flora — reduced SCFA production Fermented foods: sauerkraut, kimchi, kefir, kombucha, miso, tempeh; prebiotic fibers: jerusalem artichoke, dandelion greens, garlic, onion, chicory root
Elevated calprotectin Intestinal inflammation — active inflammatory process Processed meats, refined sugar, fried foods, dairy (if lactose-sensitive) Wild salmon, turmeric, ginger, bone broth, olive oil, blueberries, leafy greens
Elevated zonulin Leaky gut — tight junction dysfunction allowing antigen translocation Gluten strictly (gliadin triggers zonulin release); high-FODMAP foods L-glutamine foods: bone broth, cabbage; aloe vera juice; marshmallow root tea
Elevated lactoferrin Neutrophil-driven intestinal inflammation Processed foods, refined sugar, dairy, alcohol Bone broth, omega-3 rich fish, turmeric, cooked greens
Low fecal elastase Pancreatic insufficiency — impaired fat and protein digestion Raw cruciferous vegetables (initially), high-fiber legumes (initially) Cooked vegetables, bone broth, gentle proteins, easily digestible cooked starches
Elastase mechanism: low elastase indicates reduced pancreatic enzyme output, increasing digestive load from hard-to-break-down raw vegetables and high-fiber legumes. Cooked/soft preparations reduce this load significantly.
SIBO Breath Test

Hydrogen & Methane Breath Test

Measures hydrogen (H₂) and methane (CH₄) gas levels in ppm after a lactulose or glucose substrate drink. Peak values above diagnostic thresholds indicate bacterial overgrowth. Test type and threshold determine the food protocol.

Gas Pattern Threshold Diagnosis
H₂ rise from baseline > 20 ppm Hydrogen SIBO (H2-SIBO)
CH₄ rise from baseline > 10 ppm Methane SIBO / IMO
Both elevated above both thresholds Mixed SIBO
Neither exceeded Negative / Normal — gut-supportive diet, no restrictions

Food protocols by SIBO type:

SIBO Type Avoid Minimize Encourage
H2-SIBO High-FODMAP: onion, garlic, leek, cauliflower, broccoli, brussels sprouts, beans, lentils, chickpeas, apples, pears, mango, honey, HFCS, wheat, lactose dairy, alcohol Raw cruciferous veg (initially), legumes, whole grains (initially) Low-FODMAP veg: cucumber, zucchini, carrot, green beans, spinach, lettuce, fennel, celery; bone broth, coconut oil, peppermint tea, ginger tea; lean proteins; rice, potato, squash
CH₄ / IMO Gas-producing foods: beans, lentils, cabbage, brussels sprouts, onion, garlic, cauliflower, broccoli, carbonated drinks, alcohol, sugar alcohols (xylitol, sorbitol, mannitol) High-fiber foods initially, raw vegetables until motility improves Low-FODMAP proteins, cooked carrots/zucchini/fennel, bone broth, ginger, turmeric, aloe vera, slippery elm tea, psyllium husk (soaked), S. boulardii probiotic
Mixed All H2-SIBO avoids + strictest methane avoids combined Same as H2-SIBO; extended introduction phase H2 + CH₄ protocols combined; add motility support: ginger, aloe vera, slippery elm, psyllium husk
Negative / Normal None — no restrictions None Bone broth, steamed greens, wild salmon, quinoa, pumpkin seeds, blueberries, olive oil, ginger, turmeric, kimchi, sauerkraut; lean proteins, cooked root vegetables
FODMAP mechanism: bacteria ferment fermentable oligo-, di-, mono-saccharides and polyols, producing hydrogen gas. Eliminating fermentable carbs removes the bacterial fuel source. Methane SIBO (IMO) involves archaea that consume hydrogen to produce methane — high-fiber foods feed the archaea, so cooked/low-fiber vegetables are emphasized.
Viome

Food Intelligence Report

Viome generates a categorical food list (Superfoods / Enjoy / Minimize / Avoid) based on gut microbiome and digestive efficiency scores. The parser extracts section headers from the PDF and groups foods by category.

Section Header Category Parser logic
Superfoods Enjoy Section-scan — parser captures all foods listed under the "Superfoods" header
Enjoy Enjoy Section-scan — parser captures all foods listed under the "Enjoy" header
Minimize Minimize Section-scan — parser captures all foods listed under the "Minimize" header
Avoid Avoid Section-scan — parser captures all foods listed under the "Avoid" header
Viome does not provide numeric biomarker thresholds — categorization derives entirely from section headings in the PDF. Standard section headers are required for accurate parsing. Non-standard header formats may result in mis-categorization or omitted foods.

Severity thresholds at a glance

Which marker values trigger which food restrictions.

Test Format Marker Avoid Minimize
KBMO FIT Food IgG reaction level 3+ or 4+ 2+
KBMO FIT Zonulin Positive (IgG column)
KBMO FIT LPS Positive (IgG column)
KBMO FIT Candida Positive (IgG column)
GI-MAP Calprotectin Above reference range
GI-MAP Zonulin Above reference range
GI-MAP Lactoferrin Above reference range
GI-MAP Any pathogen Flagged as elevated
GI-MAP Beneficial bacteria Below reference range
GI-MAP Elastase Below reference range (deficient)
SIBO Breath Test H₂ peak > 20 ppm
SIBO Breath Test CH₄ peak > 10 ppm
Viome Food list section Avoid section Minimize section

For Practitioners

We've documented our full mapping logic including edge cases, hardcoded overrides and parser implementation notes. Want to review our interpretation logic or suggest an update?

hello@gut2plate.com