A stool sample allows the composition and bacterial diversity of your gut to be characterised. Not a list of bacteria. A portrait of an ecosystem.
The gut microbiome is the community of bacteria that lives in the intestine. It breaks down components of food the body cannot digest on its own - such as dietary fibre - and converts them into substances with a positive effect on the body, such as short-chain fatty acids.
This community is not just digestive. The report highlights that more than 70% of the immune system is located in the gut and is supported by the bacteria living there.
Composition varies between people and over time, influenced by diet, medication, age, physical activity and health status.
What matters is how many different species are present and how evenly they are distributed - not just which ones show up.
Beneficial bacteria ferment fibre and resistant starch. What you eat determines what the community has to work with.
Research links the microbiome to immunity, metabolism, skin and mood.
Each chapter cross-references the composition found with reference ranges and profiles from reference populations.
The overall state of the ecosystem: how varied it is, how balanced it is and what long-term dietary pattern characterises it.
Calculated with the Shannon index, which combines two separately reported values: species richness (how many different species are in the sample) and species evenness (how balanced the distribution between them is). The report describes diversity as the most important parameter for analysing microbiome health.
Quantifies the degree of ecosystem imbalance. The report notes it is useful for monitoring changes over the course of treatments or dietary adjustments.
Classification of the microbiome into three dominant bacterial groups, associated with long-term dietary patterns.
Associated with a diet rich in animal-based foods.
Associated with a plant-based diet rich in fruit, vegetables, legumes and whole grains.
Associated with a mixed diet rich in complex carbohydrates, including fibre.
Parameters describing how the bacterial composition relates to systems beyond the gut.
How much support the composition found appears to give the immune system. Certain bacteria activate or regulate immune cells and produce anti-inflammatory substances such as short-chain fatty acids.
A score built from four metabolic pathways for LPS production (lipopolysaccharides, molecules found in the cell wall of certain bacteria). The dysbiosis index and immune strength also influence this parameter.
Overall tendency towards skin conditions, broken down into three separate indicators: acne, atopic dermatitis and psoriasis.
Two independent readings: tendency towards low weight and tendency towards excess weight. Microbial diversity and short-chain fatty acids are cited as additional factors.
Bacterial composition patterns associated with digestive conditions. These are trend indicators, not diagnoses. The report recommends medical evaluation when a result is high.
An estimate of the tendency towards increased permeability of the intestinal mucosa, inferred from the bacterial composition. Beneficial bacteria help strengthen the barrier; an imbalanced profile can favour excessive breakdown of mucosal cells.
Studies indicate that affected individuals frequently show unfavourable composition and lower diversity. The microbiome is just one of several factors that cause symptoms in IBS.
Small intestinal bacterial overgrowth. Because it also affects composition in the large intestine, a stool sample can give indications of its possible presence. If the result is positive, the report recommends consulting a doctor and carrying out an additional breath test.
Refers to sensitivity not associated with coeliac disease (autoimmune) or wheat allergy. Studies establish a link between microbiome composition and the potential for gluten sensitivity.
Two parameters linking the microbial profile to mental and physical state.
Assesses the gut-brain axis. Certain bacteria produce neurotransmitters, metabolites and hormones that signal the brain and may influence mood, stress response and cognitive function. The communication is bidirectional: stress also alters gut function and balance.
The relationship between exercise and the microbiome is described as reciprocal: regular physical activity increases diversity and favours bacteria that produce short-chain fatty acids, while the composition of the flora contributes to physical performance.
Four metabolic parameters with pathways described in the literature cited in the report.
Beneficial bacteria break down dietary fibre into short-chain fatty acids, which improve insulin sensitivity and reduce glucose spikes. The microbiome also communicates with the endocrine system, influencing hormone secretion.
Microbes also influence angiotensin and nitric oxide signalling.
The two organs are directly linked by the portal vein, which transports substances from the gut to the liver. When the intestinal barrier is weakened, more harmful substances can reach the liver.
Two separate readings: tendency to hyperthyroidism and to hypothyroidism. The microbiome influences immune regulation and the absorption of nutrients essential to thyroid hormone production - iodine, selenium, iron and zinc.
The raw data layer: every functional group and every genus detected, with its relative frequency and the corresponding reference range.
The ratio between the Firmicutes and Bacteroidota phyla, the two dominant ones in the human gut, with the value and reference range for each.
Groups with documented beneficial effects, quantified individually.
Associated with the mucus layer that protects the intestinal wall.
They produce butyrate, a short-chain fatty acid with a role in colon health.
A group monitored separately because of its particular metabolism.
Table with all detected genera, each with its phylum, relative frequency (%) and reference range. More than 100 genera from phyla including Firmicutes, Bacteroidota, Actinobacteriota, Proteobacteria, Verrucomicrobiota, Desulfobacterota and Patescibacteria.
Almost nothing in the report is read in isolation. Each value is positioned against a reference range and only makes sense alongside diversity, the overall balance of the ecosystem and your context - diet, medication, symptoms and lifestyle.
A continuous scale with an average band. The higher, the better.
Sample report values, shown for illustration.
Here the reading is reversed: the lower it is, the more balanced the ecosystem.
Sample report values, shown for illustration.
A composite score: it counts how many of the four LPS-producing metabolic pathways are active in your profile.
Sample report values, shown for illustration.
Each genus appears with its relative frequency and its position within the expected range.
Sample report values, shown for illustration.
A complete digital report, the raw data layer behind it, and the translation of that data into decisions you can actually make.
Every parameter comes with its value, the reading scale, and an "additional information" block explaining what is being measured.
Each recommendation comes with an explanation of why, plus a practical block with concrete implementation suggestions.
Results do not sit in an isolated PDF: they feed into your plan, cross-reference your other health data, and stay available for comparison at your next reassessment.
A single stool sample, collected at home. All processing is laboratory-based and bioinformatic.
The collection kit arrives at your home, with instructions for collection, storage and return.
A stool sample, following the kit instructions. No travel and no blood draw.
The sample is assigned its own ID and processed in the laboratory.
The report becomes available on the platform, integrated into your plan and ready to be compared at your next reassessment.
A microbiome test is valuable precisely because you know where it ends. These are the boundaries stated in the manual itself.
These apply to any microbiome analysis, and are described in the report.
Different gut tests answer different questions. This one answers a single question.
