HPRHealth Psychology ResearchTBA2420-8124Health Psychology Research10.52965/001c.117647GeneralDNA metabarcoding technology for the identification of the fecal   microbiome in patients with chronic stress https://healthpr.org/journal/HPR/12/1/10.52965/001c.117647UrruchiAbraham Eudes Pérez,ElizaldeLucy Eliana Ramírez,CornejoFlor de María Zapata,CalvetMaría Luisa Matalinares,CubaMiluska Vanessa Baylon,DominguezFredy Fabian20241212024-06-03In the latest research, the concept of stress is associated with the deregulation of several biological systems sensitive to stress, such as the immune system, the microbiome, the endocrine system and neuroanatomical substrates. The objective of the research was to identify the fecal microbiome in patients diagnosed with chronic stress and in healthy patients through a metabarcoding analysis. The methodology used fecal samples collected from 20 patients with stress and 20 healthy patients. For the diagnosis of stress, psychological tools previously validated by external researchers were used. For metabarcoding analysis, metagenomic DNA extraction was performed from the fecal samples. Next Generation Illumina genetic sequencing targeting the 16S rDNA gene was then performed, followed by bioinformatic analysis using QUIME II software. The results, at the psychological test level, 20 people with chronic stress were diagnosed, on the other hand, at the metabarcoding level, specifically at the Gender level, the Asteroleplasma bacteria present only in the 20 healthy patients was molecularly identified. On the other hand, the bacteria Alistipes and Bifidobacterium were identified with greater predominance in the 20 patients with stress. Concluding, the bacteria Alistipes and Bifidobacterium are candidates as possible markers of the intestinal microbiome in patients with chronic stress, and the bacteria Asteroleplasma are candidates as a bacterial marker of the intestinal microbiome in healthy people. Finally, the identification of the microbiome in patients with stress opens a new path to understanding stress and its relationship to dysregulation with the microbiome.Bioinformatics, Psychology, Sequencing, Microbiota, Genomics

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