Methodological recommendations for human microbiota-gut-brain axis research

Yangwenshan Ou*, Clara Belzer, Hauke Smidt, Carolina de Weerth

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

Observational studies have determined numerous correlations between sequence-based gut microbiota data and human mental traits. However, these associations are often inconsistent across studies. This inconsistency is one of the reasons that mechanistic validation studies of the observed correlations are lagging, making it difficult to establish causal associations. The absence of consistent study findings may partially be due to the lack of clear guidelines for identifying confounders of relations between complex microbial communities and mental conditions. Gut microbial complexity also impedes deciphering microbiota-host relations by using a single analytical approach. The aim of the current review is to help solve these problems by providing methodological recommendations for future human microbiota-gut-brain axis research on the selection of confounders, the use of integrative biostatistical methods, and the steps needed to translate correlative findings into causal conclusions.

Original languageEnglish
Article number1
JournalMicrobiome Research Reports
Volume3
DOIs
Publication statusPublished - Mar 2024

Keywords

  • causation
  • confounders
  • correlation
  • gut microbiota
  • mental development and health
  • Microbiota-gut-brain axis
  • statistical analyses

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