Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2023 Jan 9;15(2):332. doi: 10.3390/nu15020332

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© 2023 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

PMC Copyright notice

Microbiota beta diversity was not affected by increasing protein intake. (A,B): Principle coordinate analysis (PCoA) based on Bray–Curtis dissimilarity (A) and weighted UniFrac (B) measures. These are measures used to evaluate overall microbial compositional differences between groups. Each point indicates one sample from one participant (yellow: diet group, purple: control group, dot: baseline visit (V1), triangle: 6 month follow-up visit (V2)). Points from one participant are linked. The closer the points are mapped together, the more the microbial composition is alike. PERMANOVA analysis showed that overall microbiota composition based on the Bray–Curtis dissimilarity measure or on weighted UniFrac did not change significantly from baseline to follow-up in the intervention compared to the control group. (C,D): Multilevel principal component analysis (PCA) stratified for baseline (V1) and 6 month follow-up visits (V2) (C) and for all visits combined (D). There was no significant (p = 0.43) effect of the dietary intervention on this beta-diversity measure.