Problems of Infectious and Parasitic Diseases (Jan 2024)

DECODING MICROBIOME DYSBIOSIS THROUGH METAGENOMIC ALPHA DIVERSITY

  • Yordan Hodzhev,
  • Borislava Tsafarova,
  • Vladimir Tolchkov,
  • Vania Youroukova,
  • Silvia Ivanova,
  • Dimitar Kostadinov,
  • Nikolay Yanev,
  • Stefan Panaiotov

DOI
https://doi.org/10.58395/fmx7px98
Journal volume & issue
Vol. 51, no. 3

Abstract

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Background: Sarcoidosis is a chronic inflammatory disease that can affect multiple organs. The aetiology of sarcoidosis is not fully understood, but there is increasing evidence that the microbiome may play a role. The blood microbiome is a collection of microorganisms that live in the bloodstream. It is a complex and dynamic community that is influenced by a variety of factors, including the host’s lifestyle and pathology. Recent studies have shown that people with sarcoidosis have alterations in their blood microbiome. These alterations include changes in the diversity, richness, and evenness of the microbial community. The abundance measures by which the blood microbiome diversity may detect instances of dysbiosis related to sarcoidosis aetiology. It should be clearly distinguished from microbiome changes related to unspecific inflammation or sepsis. However, the available evidence suggests that the microbiome may be a promising target for therapeutic interventions. Aim: The primary goal of this review was to assess and compare the existing metrics of microbiome composition and diversity as established by metagenomic analyses. Additionally, we aim to elucidate the potential causal relationship between these measures, the phenomenon of blood microbiome dysbiosis and the pathogenesis of sarcoidosis. Conclusion: In the present review, we investigated alpha diversity measures as characteristics of microbiome communities, examining their potential as indicators of dysbiosis, and the probablemechanisms of microbiome participation. A descriptive qualitative comparison was conducted between lung microbiome data of sarcoidosis patients and blood microbiome data of healthy adults. This comparison elucidates common taxa between the two microbiomes and identifies taxa potentially involved in sarcoidosis.

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