Metagenomic analysis of the Gut Microbiota
This advanced study exhaustively analyzes all the genomes present in a sample, allowing the detection and identification of a wide variety of microorganisms, whether pathogenic, commensal or symbiont.
This diversity includes bacteria, archaea, viruses, fungi, protozoa and metazoa, present in the stool sample. It is important to note that this analysis is performed without prior cultures or polymerase chain reactions (PCR). This approach represents the state of the art in microbiological assays and provides precise and detailed information on the composition of the microbiota in the sample, which is essential in clinical and diagnostic applications.
Advantages of Metagenomic Analysis of the Gut Microbiota
- Detects and identifies more than 270,000 bacteria, fungi, viruses
- Archaea and protists simultaneously in a single essay.
- Able to identify species and subspecies.
- Capable of detecting Antibiotic and Antimycotic Resistance Plasmids.
- Requires small quantities of samples.
- Detects uncultivable or difficult-to-cultivate pathogens.
- Accurate results in 15/20 days*
- 87% more sensitive than culture.
- It increases the diagnosis rate of real infections and the depth of the study by more than 50%.
- Recommended for cases of difficult diagnosis, food intolerances, diets.
- Intestinal diseases, chronic fatigue, and diseases that are beginning to be related to the intestinal microbiota.
In which cases is Metagenomic Analysis of the Intestinal Microbiota indicated?
This analysis approach is highly recommended in complicated diagnostic situations, especially in intestinal diseases, chronic fatigue and conditions that are increasingly being related to the intestinal microbiota. Additionally, it is invaluable in addressing food intolerances, developing personalized diets, and many other clinical applications.
Metagenomic analysis of the Central Nervous System
This clinical analysis is intended to detect possible infections in the central nervous system (CNS), which could cause encephalitis, meningitis or meningoencephalitis. These infections, whether of bacterial origin or caused by other microorganisms, carry significant implications for health that can be lethal or cause significant consequences, which is why it is crucial to detect them as soon as possible to avoid unwanted consequences.
Thanks to advanced sequencing techniques (NGS), the possibility of metagenomic analysis arises, which involves the direct study of all the genetic material present in a sample.
This analysis allows the detection of all microorganisms present in the cerebrospinal fluid (CSF) sample or in the blood sample, thus enabling the identification of all pathogenic microorganisms. The presence of various infections and infestations can be reported.
In which cases is metagenomic analysis of the Central Nervous System in cerebrospinal fluid (CSF) indicated?
- Meningoencephalitis
- Encephalitis
- Meningitis
- CNS viral infections
- Fungal and amoebic meningitis
- Infections related to CSF shunts
- brain abscess
- Others.
In which cases is metagenomic analysis of the Central Nervous System in blood indicated?
- Meningoencephalitis
- Encephalitis
- Meningitis
- CNS viral infections
- Others.
How is Metagenomic Analysis done?
The analysis process begins with obtaining a sample, which is then transported to the laboratory in a bottle containing stabilizing liquid (for stool and cerebrospinal fluid samples) provided by the laboratory, thus ensuring the preservation of the sample. For the blood samples must be sent to the laboratory in less than 48 hours using the laboratory sample collection kit and following the instructions indicated therein.
Once the sample arrives at the laboratory, nucleic acid extraction and massive sequencing are carried out. It is essential to highlight that at no time are cultures performed or polymerase chain reactions (PCR) used in order to avoid the introduction of artifacts that could affect the veracity of the results. The sequencing is comprehensive and is not limited exclusively to the 16S and 18S fragments, which allows the detection of the presence of viruses.
The data resulting from sequencing is subjected to an analysis driven by various artificial intelligence (AI) models that are responsible for classifying and estimating the abundance of the microorganisms present, as well as viruses and possible metazoans. In addition, a re-evaluation is carried out using AI to rule out any possible false positives, thus ensuring the reliability of the results.
This advanced approach allows obtaining precise and detailed information on the composition of the microbiota in the stool sample, which can be of great relevance for diagnostic and clinical purposes.
