| Literature DB >> 35080308 |
Giulia Brindisi1, Massimiliano Marazzato2, Francesca Brunetti2, Giovanna De Castro1, Lorenzo Loffredo3, Roberto Carnevale4,5, Bianca Cinicola1, Anna Teresa Palamara6, Maria Pia Conte2, Anna Maria Zicari1.
Abstract
BACKGROUND: Allergic rhinitis (AR) is one of the most common allergic diseases affecting children. Objective assessment of nasal obstruction is possible through active anterior rhinomanometry (AAR). Several factors, such as passive smoke exposure (PSE), are triggers for worsening nasal obstruction and chronic inflammation. PSE affects bacterial eubiosis in the upper respiratory tract. This study evaluates the influence of PSE and cotinine levels on both nasal obstruction and local microbiome composition in children with AR.Entities:
Keywords: allergic rhinitis; children; nasal microbiome; passive smoke; serum cotinine
Mesh:
Year: 2022 PMID: 35080308 PMCID: PMC9306473 DOI: 10.1111/pai.13621
Source DB: PubMed Journal: Pediatr Allergy Immunol ISSN: 0905-6157 Impact factor: 5.464
Characteristics of the study population
| Variables |
Not exposed No. 25 |
Exposed No. 25 |
|
|---|---|---|---|
| Age | 9.3 (7.5–9.6) | 9.1 (7.2–9.9) | .946 |
| Sex (male) | 17 (68%) | 12 (48%) | .252 |
| FEV1 | 99 (90–103) | 99 (90–100) | .923 |
| mNF (%) pre‐hydrazine | 79 (73–89) | 67 (58–69) |
|
| mNF (%) post‐hydrazine | 91 (79–99) | 70 (68–72) |
|
| Cotinine | 2.4 (1.8–3.2) | 23.2 (19.5–27.5) |
|
Continuous variables are expressed as median and interquartile range (IQR), while discrete variables are reported as number and percentage.
FIGURE 1Bioinformatic analysis of 16S metagenomic reads. A, Color‐coded rarefaction curves. For each group, the average values of α‐diversity indexes with 95% confidence intervals were reported at different sequencing depths. B, Box plots showing the Simpson index α‐diversity estimator, measured for each group. C,D, PCoA plot of bacterial β‐diversity based on Bray‐Curtis dissimilarity and weighted UniFrac distance according to exposure to secondhand smoke. For each group, the 95% confidence interval has been drawn. Numbers between parentheses represent the percentage of the total variance explained by the principal coordinates. Values are expressed as mean ±SD. E, Cross‐correlation heatmaps based on Spearman's correlation coefficients computed between the relative abundance of taxa ≥0.05% in at least one group and the values observed for mNF% and cotinine across the whole population of studied subjects. The color scale represents values assumed by Spearman's correlation coefficient (ρ) with green and red for positive and negative correlations. According to hierarchical simple‐linkage clustering, taxa were ordered based on Spearman's coefficients computed on relative abundances (dendrogram on the left). A white asterisk indicates a significant correlation at α level 0.05 after FDR correction for multiple comparisons