With the expansion of the content of the full-length amplicon report, the call for the medical version of the report is getting louder and louder. Today, I will introduce to you what report content has been changed/added by Lingen Biotech for medical customers~
First, let's take a look at what's changed!
CCA/RDA analysis, PICRUSt2 function prediction, random forest-biomarker identification, prediction of environmental factors by random forest, these analyzes pay more attention to medical research, and the content is all changed to medical description, which is closer to clinical needs.
Come on, give me an example!
Prediction of environmental factors by random forest, the content before the change is: analyze the key species identified by the random forest model that predicts each environmental factor, and show the key species that these species are important to the prediction of environmental factors and their presence in different group samples abundance distribution. After the full-length amplification of the medical version is changed: analyze the key indicators identified by the random forest model that predicts each clinical physiological indicator or phenotype indicator, and display the distribution of these clinical physiological indicators in different group samples.
Let's take a look at what's new!
The main new contents of the medical edition are: enterotype analysis, identification and distribution analysis of candidate pathogenic bacteria, source tracker traceability analysis, correlation analysis between microorganisms and metabolome, let us introduce them one by one.
1. Intestinal analysis
The full name is "intestinal microbial typing". After the variation of microbial community composition is divided into clusters/groups, it can be used as a very effective method to distinguish human intestinal microorganisms. The medical profession generally believes that human beings are divided into three types of enterotypes, represented by Bacteroides, Prevotella, and Firmicutes.
It is mainly used clinically: 1) It is helpful in diagnosis to distinguish the disease state of an individual; 2) It can be used as a risk or susceptibility indicator for a specific state of the human body; 3) Stratification can be used as a biomarker for prognosis and recovery; 4) Different Enterotype can affect the metabolism of heterogeneous substances, resulting in different pharmacokinetics and differences in pharmacokinetics.
Syntypes are marked in different colors
2. Identification and distribution analysis of candidate pathogenic bacteria
Previous reports analyzed all microorganisms in the sample (alpha diversity, beta diversity, species composition, differential analysis), but in the medical field, more attention was paid to pathogenic bacteria, and the revised full-length amplicon The medical edition has newly added the identification of candidate pathogenic bacteria and the analysis of their distribution status. According to the database analysis of the types of intestinal microorganisms, it is clear which are beneficial bacteria and which are pathogenic bacteria. Further analysis of pathogenic bacteria (alpha diversity, beta diversity, species composition and difference analysis), is such an analysis more suitable for medical research?
New additions include SourceTracker traceability analysis, association analysis between microorganisms and metabolomics, and more content, we will talk about it in the next issue~