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Serum Laboratory Studies, Stool Test, Breath Test01:30

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Gastrointestinal (GI) diagnostic studies are pivotal in confirming, ruling out, diagnosing, or staging various diseases, including cancers. Following diagnosis, allocating time for discussions with the patient and providing informational resources is crucial. Diagnostic assessments of the GI tract often occur in outpatient settings like endoscopy suites or GI labs. Preparation for these tests may include dietary restrictions, fasting, liquid bowel preparations, laxatives, enemas, and the...
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Related Experiment Video

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Linking Clinical Blood Metabogram and Gut Microbiota.

Petr G Lokhov1, Elena E Balashova1, Dmitry L Maslov1

  • 1Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia.

Metabolites
|October 27, 2023
PubMed
Summary

A new clinical blood metabogram links metabolite profiles to gut bacteria. This research validates the metabogram for diagnosing gut microbiota changes in clinical practice.

Keywords:
bloodclinical blood testclinical metabolomicsdiagnosticsgut microbiomegut microbiotamass spectrometrymetabogrammetabolomicspersonalized metabolomics

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Area of Science:

  • Clinical metabolomics
  • Gut microbiome research
  • Biomarker discovery

Background:

  • A clinical blood metabogram offers a rapid, cost-effective method for integrating metabolomics into healthcare.
  • The gut microbiota influences blood metabolites, and vice-versa, necessitating an understanding of this relationship before clinical application of the metabogram.

Purpose of the Study:

  • To establish the link between clinical blood metabogram components and gut microbial composition.
  • To assess the diagnostic potential of metabogram components for identifying gut microbiota alterations.

Main Methods:

  • Blood plasma metabograms were analyzed using direct mass spectrometry.
  • Gut microbiome composition was determined via culture-based methods and real-time PCR.
  • Correlation analysis was performed on data from 44 healthy and overweight individuals.

Main Results:

  • Specific metabogram components were found to be significantly correlated with particular gut microorganisms.
  • Diagnostic parameters demonstrated the metabogram's capability to detect gut microbiota dysbiosis.
  • The study identified key links between blood metabolites and gut microbial populations.

Conclusions:

  • The clinical blood metabogram can be reliably used in healthcare settings.
  • The established correlations support the metabogram's utility in diagnosing gut microbiota status.
  • This research bridges metabolomics and microbiome science for clinical applications.