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Feasibility of collection and analysis of microbiome data in a longitudinal randomized trial of community gardening.

Mireia GasconKylie K HarrallAlyssa W BeaversDeborah H GlueckMaggie A StanislawskiKatherine AlaimoAngel VillalobosJames R HebertKelsey DexterKaigang LiJill Litt
Published in: Future microbiology (2020)
Aim: We explored the feasibility of collecting and analyzing human microbiome data in a longitudinal randomized controlled trial of community gardening. Methods & materials: Participants were randomly assigned to gardening (N = 8) or control (N = 8). Participants provided stool, mouth, hand and forehead microbiome samples at six timepoints. Analyses combined mixed models with Qiita output. Results: Participant satisfaction was high, with 75% of participants completing evaluations. While no microbial effects were statistically significant due to small sample size, the analysis pipeline utility was tested. Conclusion: Longitudinal collection and analysis of microbiome data in a community gardening randomized controlled trial is feasible. The analysis pipeline will be useful in larger studies for assessment of the pathway between microbiota, gardening and health outcomes.
Keyphrases
  • randomized controlled trial
  • mental health
  • healthcare
  • electronic health record
  • study protocol
  • big data
  • endothelial cells
  • data analysis
  • machine learning
  • systematic review
  • artificial intelligence