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Updated: Mar 5, 2026

An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota
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Exploring the human microbiome from multiple perspectives: factors altering its composition and function.

David Rojo1, Celia Méndez-García2, Beata Anna Raczkowska3

  • 1Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Campus Montepríncipe, 28668 Madrid, Spain.

FEMS Microbiology Reviews
|March 24, 2017
PubMed
Summary
This summary is machine-generated.

Human microbiota composition and function are influenced by various factors. This review explores these influences, highlighting the need for standardized research methods to understand the complex interactions within the human microbiome.

Keywords:
dysbiosisgutmetabolomicsmicrobiomemicrobiotaomics

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Area of Science:

  • Microbiology
  • Human Microbiome Research
  • Systems Biology

Background:

  • The human microbiota, comprising bacteria, fungi, and archaea, exhibits unique characteristics that can be altered by external factors.
  • The impact of these alterations depends on the perturbation's nature, intensity, duration, and the host microbiota's resilience.
  • Understanding these dynamics is crucial for human health.

Purpose of the Study:

  • To provide a comprehensive overview of factors influencing human microbiota across various body sites.
  • To associate microbial genera with specific influencing factors.
  • To link microbial functions and metabolic alterations to population structure changes under different perturbations.

Main Methods:

  • Graphical representation of bacterial, fungal, and archaeal genera to identify factor-associated associations.
  • Analysis of sequence-based predictions to link microbial communities with active metabolic functions.
  • Examination of microbial metabolite content and fluxes to correlate metabolic changes with population structure.
  • Integration of complementary technologies, emphasizing metabolomics.

Main Results:

  • Identified associations between specific microbial genera and various influencing factors.
  • Linked microbial functions to active metabolism based on sequence data.
  • Demonstrated how metabolic alterations reflect changes in microbial population structure.
  • Highlighted the role of metabolomics in understanding microbiome function.

Conclusions:

  • Multiple factors significantly impact human microbiota composition and function.
  • Metabolomics is a key technology for a holistic view of the microbiome.
  • Standardization of research protocols is urgently needed for reliable and comparable microbiome studies.