Am J Clin Nutr: Specific gut microbiome components identified using the ingredient PCA are associated with children's diets and BMI z-score.

The data on intestinal flora obtained through DNA sequencing is complex and composed because there are a large number of detectable classification units, because there are a large number of detectable groups, and the microbiome characteristics are described in a relative way.
nutrition researchers use the Main Ingredient Analysis (PCA) to derive dietary patterns from food data.
Although the composition PCA method is not often used to describe patterns from complex microbiome data, it is useful for identifying patterns in the gut microbiome associated with diet and body composition.
study aims to use the ingredient PCA to describe the main component of the gut microbiome (PC) in 5-year-olds and to explore the association between microbiome composition, diet and BMI z-score.
319 5-year-olds provided stool samples, and their primary caregivers completed effective quantitative FFQ s123 projects.
use DXA to determine body composition and calculate BMI z-score.
composition of the PCA determines the characteristic classification group and weight, is used to calculate the pc score of the intestinal microbiome of the genus, and the relationship between it and diet and body type was studied.
results, the researchers found three gut microbiome SCS.
PC1 (negative load on uncultivated Kristen's bacteria and gastric flora) was associated with lower BMI z-scores and longer breastfeeding times (monthly) (beta-0.14; 95% CI:-0.26, -0.02; and beta-0.02; 95% CI: 0.003, 0.34, respectively).
PC2 (positive load on sickle-shaped and Bifidobacteria; negative load on the genus) is associated with lower intake of nuts, seeds, and beans (beta- -0.05/g; 95% CI:-0.09, -0.01).
PC2 is also associated with higher BMI z-scores when correcting fiber intake (beta s 0.12; 95% CI: 0.01, 0.24).
PC3 (the positive load of fenifion, true bacteria and rose bacteria) is associated with higher fiber intake (beta s 0.02/g; 95% CI: 0.003, 0.04) and total non-starch polysaccharides (beta s 0.02/g; 95% CI: 0.003,0.04).
in general, our results show that specific gut microbiome components identified using the ingredientPCA are associated with diet and BMI z-score.
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