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. 2023 Jul 25:14:1208816.
doi: 10.3389/fmicb.2023.1208816. eCollection 2023.

Microbial signature of intestine in children with allergic rhinitis

Affiliations

Microbial signature of intestine in children with allergic rhinitis

"VSports手机版" Panpan Zhang et al. Front Microbiol. .

Abstract

Introduction: Previous studies have found that unique patterns of gut microbial colonization in infancy associated with the development of allergic diseases. However, there is no research on the gut microbiota characteristics of AR children in Chinese Mainland. VSports手机版.

Objective: To investigate the changes of gut microbial of AR children in Chinese Mainland and evaluate the correlation between gut microbial and clinical indexes V体育安卓版. .

Methods: In this clinical study, fecal samples from 24 AR children and 25 healthy control children (HCs) were comparative via next generation sequencing of the V3-V4 regions of the 16S rRNA gene. Analyzed the relationship between clinical features and gut microbial using Spearman correlation. V体育ios版.

Results: Compared to HCs, AR children showed significant decreases in Shannon index and significant increases in Simpson index at both the family and genera levels (all p < 0. 05). In terms of bacterial composition, at the phylum level, AR children had higher abundance of Bacteroidetes than that in the HCs group (p < 0. 05) and were significantly positively correlated with TNSS (p < 0. 05). At the family level, AR children had higher abundance of Prevotellaceae and Enterobacteriaceae higher than that in the HCs group (all p < 0. 05) and had a significantly positive correlation with TNSS, eosinophils (EOS) and total immunoglobulin E (tIgE) (all p < 0. 05). At the genus level, reduced abundance of Agathobacter, Parasutterella, Roseburia and Subdoligranulum were also observed in the AR cohorts compared to HCs (all p < 0 VSports最新版本. 05) and significantly negatively associated with TNSS, EOS, tIgE, QOL, and FeNO (all p < 0. 05). .

Conclusion: AR children in Chinese Mainland were characterized by reduced microbial diversity and distinguished microbial characteristics in comparison with HCs V体育平台登录. The observations of this study offer proof that distinctive gut microbiota profiles were present in AR children and necessitate further investigation in the form of mechanistic studies. .

Keywords: 16S rRNA gene sequencing; allergic rhinitis; children; gut; microbiota. VSports注册入口.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Venn plot. The total number of OTUs observed in the AR group was lower than that in the HCs group. AR, allergic rhinitis group; HCs, healthy control group.
Figure 2
Figure 2
Alpha-Diversity analysis chart. The Alpha-Diversity indexes comparing including Chao1, Shannon and Simpson. (A) Chao1 index at the phylum level; (B) Shannon index at the phylum level; (C) Simpson index at the phylum level; (D) Chao1 index at the family level; (E) Shannon index at the family level; (F) Simpson index at the family level; (G) Chao1 index at the genus level; (H) Shannon index at the genus level; and (I) Simpson index at the genus level. AR = allergic rhinitis group; HCs, healthy control group. ns, no statistical difference between the two groups; *there is a statistical difference between the two groups, p < 0.05.
Figure 3
Figure 3
Beta-Diversity Analysis Chart. The Beta-Diversity including PcoA and Adonis analysis. (A) PCoA analysis results based on Bray curtis and (B) PCoA1 difference based on Adonis analysis. AR, allergic rhinitis group; HCs, healthy control group.
Figure 4
Figure 4
The difference of gut microbiota at phylum level. (A) Community composition at the phylum level; (B) Inter-group differences of Bacteroidetes in phylum; (C) Inter-group differences of Firmicutes in phylum; and (D) Inter-group differences in the ratio of Firmicutes to Bacteroidetes. AR, allergic rhinitis group; HCs, healthy control group. *there is a statistical difference between the two groups, p < 0.05.
Figure 5
Figure 5
The difference of gut microbiota at family level. (A) Community composition at the family level; (B) Inter-group differences of Prevotellaceae in family; (C) Inter-group differences of Burkholderiaceae in family; (D) Inter-group differences of Enterobacteriaceae in family. AR, allergic rhinitis group; HCs, healthy control group. *there is a statistical difference between the two groups, p < 0.05.
Figure 6
Figure 6
The difference of gut microbiota at genus level. (A) Community composition at the genus level; (B) Inter-group differences of Agathobacter in genus; (C) Inter-group differences of Parasutterella in genus; (D) Inter-group differences of Roseburia in genus; (E) Inter-group differences of Subdoligranulum in genus. AR, allergic rhinitis group; HCs, healthy control group. **there is a statistical difference between the two groups, p < 0.01.
Figure 7
Figure 7
LEfSe chart. LEfSe analysis showed differential taxa with LDA scores greater than 3.5 between two groups (A) linear discriminant analysis (LDA) distribution histogram (LDA > 3.5, p < 0.05) and (B) Cladogram. AR, allergic rhinitis group; HCs, healthy control group.
Figure 8
Figure 8
Spearman correlation analysis. Spearman correlation analysis was performed to examine the correlation between different taxa at various levels and clinical indicators. (A) phylum level; (B) family level; and (C) genus level. EOS, eosinophils; tIgE, total immunoglobulin E; TNSS, total nasal symptom score; QOL, quality of life score; FeNO, fractional exhaled nitric oxide. Red represents positive correlation, while blue represents negative correlation. AR, allergic rhinitis group; HCs, healthy control group. *there is a statistical difference between the two groups, p < 0.05. **there is a statistical difference between the two groups, p < 0.01.

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