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. 2021 Jul 8;9(7):1461.
doi: 10.3390/microorganisms9071461.

Subfractional Spectrum of Serum Lipoproteins and Gut Microbiota Composition in Healthy Individuals

Daria A Kashtanova  1 , Natalia S Klimenko  2 , Olga N Tkacheva  1 , Irina D Strazhesko  1 , Victoria A Metelskaya  3 , Natalia V Gomyranova  4 , Sergey A Boytsov  4
Affiliations

Subfractional Spectrum of Serum Lipoproteins and Gut Microbiota Composition in Healthy Individuals

Daria A Kashtanova et al. Microorganisms. .

Abstract

Aim: To reveal the relationship between gut microbiota composition and subfractional spectrum of serum lipoproteins and metabolic markers in healthy individuals from Moscow. Methods: The study included 304 participants (104 were men), who underwent thorough preclinical assessment to exclude any chronic disease as well as cardiovascular pathology. Lipoprotein subfractional distribution was analyzed by Lipoprint LDL System (Quantimetrix, Redodno Beach, CA, USA). Gut microbiota composition was assessed by 16S rRNA sequencing of V3-V4 regions. Results: High gut microbiota diversity was positively associated with HDL-cholesterol (C) level and negatively associated with abdominal obesity, BMI, and dyslipidemia. According to selbal analysis, excessive representation of Prevotella spp. was positively associated with IDL-C and LDL-2-C. VLDL-C correlated with Ruminococcus_u/Faecalibacterium_prausnitzii balance. An unexpected positive relationship between LDL-C level and Bifidobacteriaceae_u/Christensenellaceae_u to Bifidobacterium_u balance was found, which may reflect the importance of the integrative microbiota assessment. Low microbiota diversity was associated with obesity, abdominal obesity and low HDL-C level. Conclusions: Gut microbiota imbalance may be one of the components involved in metabolic disorders. The balance of microorganisms and the microbiota diversity may play a more significant role in human health than individual bacterial genera.

Keywords: 16S rRNA sequencing; atherosclerosis; gut microbiota; lipoproteins; subfractional analysis of lipoproteins.

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Conflict of interest statement

Authors declared no conflict of interest.

Figures

Figure 1
Figure 1
Distribution of the samples by their taxonomic composition in reduced dimensionality. PCoA (Principal Coordinate Analysis); dissimilarity metric: weighted UniFrac. Prefix “_u” denotes all unclassified taxa from the higher taxonomic rank. Arrows show the top 15 taxa in terms of the explained variance in given axes. The arrows’ length is proportional to the percent of variance explained by the taxon. The arrows’ angle reflects the distribution of this variance between the axes.
Figure 2
Figure 2
Reliable associations between microbiome composition, subfractional spectrum of apo B-containing lipoproteins and BMI according to Selbal analysis (see Section 2). Circles sizes are related to taxon reproducibility and circles colors to model R2. Numerator parts of balance are colored with red and denominator with blue.
See this image and copyright information in PMC

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