Increasing Reproducibility in Oral Microbiome Research.

Area of Science:

• Oral microbiome research
• Microbiome data analysis
• Clinical translation of microbiome studies

Background:

• The oral microbiome plays a vital role in health and disease.
• Numerous studies provide data for diagnosing and treating oral diseases.
• Clinical application of oral microbiome data is hindered by methodological variability and non-uniform reporting.

Purpose of the Study:

• To identify key areas prone to bias in oral microbiome research.
• To provide recommendations for eliminating bias in microbiome studies.
• To enhance the reproducibility of microbiome research data.

Main Methods:

• Literature review of recommendations for bias elimination in microbiome studies.
• Analysis of potential sources of bias in study design, sample collection, storage, and processing.
• Synthesis of best practices for ensuring data reproducibility.

Main Results:

• Bias in microbiome studies can originate from study design, sample handling, and processing.
• Variable methodologies and non-uniform data reporting impede clinical translation.
• Standardized protocols are essential for reliable and reproducible microbiome research.

Conclusions:

• Addressing bias in oral microbiome research is imperative for clinical advancement.
• Implementing standardized methodologies and reporting enhances data reproducibility.
• Overcoming research bias will facilitate the translation of microbiome findings into clinical practice.