Global Gut Score

The Gut Score is your primary indicator of digestive health, presented on a scale of 0 to 100. This value summarizes millions of data points from your sequencing into a single actionable metric. A high score indicates a robust, diverse, and resilient microbial ecosystem, while a low score signals imbalances that require dietary or lifestyle attention.

Imagine your gut as a complex forest. To know if the forest is healthy, it's not enough to count how many trees there are; you need to assess the variety of species, the quality of the soil, and the absence of pests.

The Gut Score works exactly like that. It's not a simple measure, but an intelligent algorithm that integrates multiple dimensions of your microbiome:

• Diversity: How many different species do you have? (The more, the better).
• Balance: Are the "good" species (commensals) in the correct proportion relative to the "bad" ones (pathogens)?
• Functionality: Are your bacteria producing vitamins and energy, or toxins?

This score allows you to monitor your progress over time. If you make changes to your diet and repeat the test after a few months, this is the main number you'll want to see increase.

Your Gut Score is directly correlated with your general well-being and your susceptibility to diseases.

Optimal Score (80-100): It is associated with efficient digestion, a strong immune system, stable energy levels, and a lower risk of chronic diseases. It indicates "Eubiosis" or a state of balance.

Medium Score (50-79): It indicates functional health but with areas for improvement. You may not have serious symptoms, but your resistance to stress or infections could be lower. It is the ideal time to optimize your diet.

Low Score (<50): It suggests "Dysbiosis" or ecological imbalance. Clinically, this usually correlates with symptoms such as bloating, gas, irregular transit, fatigue, or food sensitivities. In the long term, a low score is a risk factor for metabolic and inflammatory conditions.

The Gut Score is calculated using a Weighted Linear Combination algorithm that normalizes and aggregates different key biomarkers obtained from sequencing data analysis.

The main variables of the algorithm are:

• Alpha-Diversity (+): Shannon index normalized against a healthy reference cohort.
• Key Abundance (+): Weighted sum of butyrogenic and protective species (Faecalibacterium prausnitzii, Akkermansia muciniphila, Bifidobacterium spp.).
• Pathogenic Load (-): Penalty for the presence of pathobionts (virulent C. difficile, E. coli) and total load of the Proteobacteria phylum (instability marker).
• Inflammatory Potential (-): Estimation of Lipopolysaccharide (LPS) synthesis capacity and hydrogen sulfide production.

The final result is adjusted using a sigmoid curve to facilitate clinical interpretation on a percentile scale (0-100).