Evidence map›Paper›PMID 38846338›Full record

ArticleHealth psychology research2024

DNA metabarcoding technology for the identification of the fecal microbiome in patients with chronic stress.

Abraham Eudes Pérez Urruchi, Lucy Eliana Ramírez Elizalde, Flor de María Zapata Cornejo, María Luisa Matalinares Calvet, Miluska Vanessa Baylon Cuba, Fredy Fabian Dominguez

Abstract read
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Article in Health psychology research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Abraham Eudes Pérez UrruchiFacultad de Ciencias Sociales Universidad Nacional de Tumbes.ORCID https://orcid.org/0000-0003-2037-8951
Lucy Eliana Ramírez ElizaldeFacultad de Ciencias Sociales Universidad Nacional de Tumbes.ORCID https://orcid.org/0009-0007-5503-4805
Flor de María Zapata CornejoFacultad de Ciencias Sociales Universidad Nacional de Tumbes.ORCID https://orcid.org/0000-0003-3347-8441
María Luisa Matalinares CalvetEscuela Profesional de Psicología Universidad Nacional Mayor de San Marcos.ORCID https://orcid.org/0000-0003-1052-6922
Miluska Vanessa Baylon CubaBiotecnología Molecular Instituto de Educación Superior Tecnológico Público 24 de Julio de Zarumilla.ORCID https://orcid.org/0000-0003-1103-345X
Fredy Fabian DominguezGrupo de Investigación Biotecnología Molecular y Genómica Bacteriana Universidad Nacional de San Martín.ORCID https://orcid.org/0000-0003-3577-5896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 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.

Indexed as

BioinformaticsGenomicsMicrobiotaPsychologySequencing

Identifiers

PMID38846338
PMCPMC11152980

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.