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GA-Map Dysbiosis Test

Overview

The microbiota provides essential roles in normal physiology such as vitamin synthesis, digestion, and immunity. Bacteria that make up the human microbiota in the gut out number human cells 10:1 and it has been shown that alterations in the gut microbiome are associated with functional gastrointestinal disorders (FGID), obesity, diabetes and cancer. Through microbiota research emerging strategies to treat FGID such as the use of pre- and pro-biotics, antibiotics and faecal microbiota transplants (FMT) are bringing new options for patients and providers dealing with chronic digestive disorders.

Identifying and Characterising Dysbiosis

Historically the classification of FGID has been entirely symptom based according to the prevailing bowel habit but this often leads to uncertainty in diagnosis and increases the likelihood of an unneccessary referral for specialist investigation.

16S rRNA microbiota profiling demonstrates both quantitative and qualitative changes of mucosal and faecal gut microbiota, particularly in IBS. BIOHIT now offers the first CE marked test that identifies and characterises gut bacteria by exploiting constant and variable DNA sequences within the 16S rRNA gene, a gene common to all bacteria.

  • Compare the degree of Dysbiosis between different patient groups
  • Monitor changes in the microbiota before and after intervention
  • Assess the Microbiota to predict response to treatment

How the GA-Map Dysbiosis Test works

Using 16S rRNA analysis the GA-Map Dysbiosis Test enables simultaneous analysis of a large number of gene fragments in one reaction from a single stool sample. 54 specific probes have been selected for their discriminating power (normal gut vs dysbiotic gut) which represents approximately 300 species detected at different taxonomic levels.

The GA-map™ Analyzer Software utilises Principal component analysis (PCA) to build a normobiotic microbiota profile (model). Based on this, an algorithm calculates the dysbiosis score and bacterial deviations from a normal population.

Test results are presented in an easy to understand report with a personal Dysbiotic Index score. A dysbiosis index above 2 shows a microbiota profile that deviates from a reference population based on an unselected group of asymptomatic individuals (age 18-70).

The Dysbiotic Index Score depends on:

  • Signal intensity from each probe
  • The intrinsic variation from a given probe in the normal population
  • The number of probes deviating from the normal population

 

Book GA-Map Dysbiosis Test

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