Viable microbial community composition of Agnano Thermal Spring Water

Abstract Background Several studies have investigated the efficacy of balneotherapy in atopic dermatitis (AD), including a pediatric open randomized clinical trial conducted at the Comano thermal spring water center, which showed a significant reduction in AD severity and an improvement of the quality of life. However, so far many studies on balneotherapy in pediatric AD have included relatively small populations without identifying patients’ characteristics associated with their response. The aim of the present study was to identify any features associated with the clinical response to the Comano thermal spring water balneotherapy in a large cohort of pediatric AD patients. Methods An observational study was conducted on 867 children aged ≤16 years (females 50.5%, mean patient’s age 5.9 years, standard deviation ±3.6 years) with mild to severe AD who underwent balneotherapy at the Comano thermal spring water center (Comano, Trentino, Italy) from April to October 2014. Patients were stratified according to their disease severity, which was evaluated using five SCORing Atopic Dermatitis (SCORAD) categories before and immediately after a thermal spring water balneotherapy course. Potential characteristics associated with the patients’ clinical response to Comano thermal spring water balneotherapy were investigated. Results A statistically significant improvement in AD severity was observed after Comano thermal spring water balneotherapy (p < 0.0001). A significantly higher percentage of patients achieving improvement in AD severity was reported among children ≤4 years old (p < 0.0001) with early-onset AD (p < 0.0001), severe AD (p < 0.0001) or coexistent reported food allergies (p < 0.01). The therapy was well tolerated, and no relevant adverse effects were reported during the treatment course. Conclusions Comano thermal spring water balneotherapy is a safe complementary treatment for pediatric patients with AD, as it was able to reduce the disease severity, especially in children ≤4 years old, with early onset AD, severe AD or concomitant food allergies.

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Benchmarking laboratory processes to characterise low-biomass respiratory microbiota

Scientific Reports ◽

10.1038/s41598-021-96556-5 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Raiza Hasrat ◽

Jolanda Kool ◽

Wouter A. A. de Steenhuijsen Piters ◽

Mei Ling J. N. Chu ◽

Sjoerd Kuiling ◽

...

Keyword(s):

Microbial Community ◽

Community Composition ◽

Microbial Community Composition ◽

Positive Control ◽

Rrna Gene ◽

Elution Buffer ◽

Community Profile ◽

Microbial Community Profile ◽

Microbial Dna ◽

Pcr Conditions

AbstractThe low biomass of respiratory samples makes it difficult to accurately characterise the microbial community composition. PCR conditions and contaminating microbial DNA can alter the biological profile. The objective of this study was to benchmark the currently available laboratory protocols to accurately analyse the microbial community of low biomass samples. To study the effect of PCR conditions on the microbial community profile, we amplified the 16S rRNA gene of respiratory samples using various bacterial loads and different number of PCR cycles. Libraries were purified by gel electrophoresis or AMPure XP and sequenced by V2 or V3 MiSeq reagent kits by Illumina sequencing. The positive control was diluted in different solvents. PCR conditions had no significant influence on the microbial community profile of low biomass samples. Purification methods and MiSeq reagent kits provided nearly similar microbiota profiles (paired Bray–Curtis dissimilarity median: 0.03 and 0.05, respectively). While profiles of positive controls were significantly influenced by the type of dilution solvent, the theoretical profile of the Zymo mock was most accurately analysed when the Zymo mock was diluted in elution buffer (difference compared to the theoretical Zymo mock: 21.6% for elution buffer, 29.2% for Milli-Q, and 79.6% for DNA/RNA shield). Microbiota profiles of DNA blanks formed a distinct cluster compared to low biomass samples, demonstrating that low biomass samples can accurately be distinguished from DNA blanks. In summary, to accurately characterise the microbial community composition we recommend 1. amplification of the obtained microbial DNA with 30 PCR cycles, 2. purifying amplicon pools by two consecutive AMPure XP steps and 3. sequence the pooled amplicons by V3 MiSeq reagent kit. The benchmarked standardized laboratory workflow presented here ensures comparability of results within and between low biomass microbiome studies.

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