Primary nephrotic syndrome relapse within 1 year after glucocorticoid therapy in children is associated with gut microbiota composition at syndrome onset

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ABSTRACT

Background

Children with primary nephrotic syndrome (PNS) who relapse after glucocorticoid therapy are shown to have a decreased total proportion of butyrate-producing bacteria in the gut at onset. Glucocorticoid treatment changes the gut microbiota composition. It is unclear whether gut microbiota at remission right after therapy and gut bacteria other than butyrate-producing bacteria are associated with PNS relapse.

Methods

PNS relapse of paediatric patients within 1 year after glucocorticoid therapy was recorded. The gut microbiota composition, profiled with 16S rRNA gene V3–V4 region sequencing, was compared between relapsing and non-relapsing PNS children at onset before glucocorticoid treatment (preT group) and in PNS children at remission right after treatment (postT group), respectively.

Results

The gut microbiota composition of postT children significantly differed from that of preT children by having lower levels of Bacteroides, Lachnoclostridium, Flavonifractor, Ruminococcaceae UBA1819, Oscillibacter, Hungatella and Coprobacillus and higher levels of Ruminococcaceae UCG-013 and Clostridium sensu stricto 1 group. In the preT group, compared with non-relapsing patients, relapsing patients showed decreased Blautia, Dialister and total proportion of butyrate-producing bacteria and increased Oscillibacter, Anaerotruncus and Ruminococcaceae UBA1819. However, relapsing and non-relapsing postT children showed no difference in gut microbiota composition.

Conclusions

PNS relapse–associated gut microbiota dysbiosis at onset, which includes alterations of both butyrate-producing and non-butyrate-producing bacteria, disappeared right after glucocorticoid therapy. It is necessary to study the association of the longitudinal changes in the complete profiles of gut microbiota after glucocorticoid treatment with later PNS relapse.

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Most cited references 53

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DADA2: High resolution sample inference from Illumina amplicon data

Benjamin J. Callahan, Paul McMurdie, Michael Rosen … (2016)

We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.

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Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences

Morgan G. I. Langille, Jesse R. R. Zaneveld, J. Gregory Caporaso … (2013)

Profiling phylogenetic marker genes, such as the 16S rRNA gene, is a key tool for studies of microbial communities but does not provide direct evidence of a community’s functional capabilities. Here we describe PICRUSt (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States), a computational approach to predict the functional composition of a metagenome using marker gene data and a database of reference genomes. PICRUSt uses an extended ancestral-state reconstruction algorithm to predict which gene families are present and then combines gene families to estimate the composite metagenome. Using 16S information, PICRUSt recaptures key findings from the Human Microbiome Project and accurately predicts the abundance of gene families in host-associated and environmental communities, with quantifiable uncertainty. Our results demonstrate that phylogeny and function are sufficiently linked that this ‘predictive metagenomic’ approach should provide useful insights into the thousands of uncultivated microbial communities for which only marker gene surveys are currently available.

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Short Chain Fatty Acids (SCFAs)-Mediated Gut Epithelial and Immune Regulation and Its Relevance for Inflammatory Bowel Diseases

Daniela Parada Venegas, Marjorie K. De la Fuente, Glauben Landskron … (2019)

Ulcerative colitis (UC) and Crohn's disease (CD), collectively known as Inflammatory Bowel Diseases (IBD), are caused by a complex interplay between genetic, immunologic, microbial and environmental factors. Dysbiosis of the gut microbiome is increasingly considered to be causatively related to IBD and is strongly affected by components of a Western life style. Bacteria that ferment fibers and produce short chain fatty acids (SCFAs) are typically reduced in mucosa and feces of patients with IBD, as compared to healthy individuals. SCFAs, such as acetate, propionate and butyrate, are important metabolites in maintaining intestinal homeostasis. Several studies have indeed shown that fecal SCFAs levels are reduced in active IBD. SCFAs are an important fuel for intestinal epithelial cells and are known to strengthen the gut barrier function. Recent findings, however, show that SCFAs, and in particular butyrate, also have important immunomodulatory functions. Absorption of SCFAs is facilitated by substrate transporters like MCT1 and SMCT1 to promote cellular metabolism. Moreover, SCFAs may signal through cell surface G-protein coupled receptors (GPCRs), like GPR41, GPR43, and GPR109A, to activate signaling cascades that control immune functions. Transgenic mouse models support the key role of these GPCRs in controlling intestinal inflammation. Here, we present an overview of microbial SCFAs production and their effects on the intestinal mucosa with specific emphasis on their relevance for IBD. Moreover, we discuss the therapeutic potential of SCFAs for IBD, either applied directly or by stimulating SCFAs-producing bacteria through pre- or probiotic approaches.