Systematic Review and Meta-Analysis of Dietary Interventions and Microbiome in Phenylketonuria

Int J Mol Sci. 2023 Dec 13;24(24):17428. doi: 10.3390/ijms242417428.

Abstract

Inborn errors of metabolism (IEMs) comprise a diverse group of monogenic disorders caused by enzyme deficiencies that result either in a toxic accumulation of metabolic intermediates or a shortage of essential end-products. Certain IEMs, like phenylketonuria (PKU), necessitate stringent dietary intervention that could lead to microbiome dysbiosis, thereby exacerbating the clinical phenotype. The objective of this systematic review was to examine the impact of PKU therapies on the intestinal microbiota. This research was conducted following the PRISMA Statement, with data from PubMed, Scopus, ScienceDirect, and Web of Science. A total of 18 articles meeting the inclusion criteria were published from 2011 to 2022. Significant reductions in several taxonomic groups in individuals with PKU when compared to the control group were detected in a quantitative analysis conducted across seven studies. The meta-analysis synthesis indicates a contrast in biodiversity between PKU subjects and the control population. Additionally, the meta-regression results, derived from the Bacillota/Bacteroidota ratio data, suggest a potential influence of diet in adult PKU populations (p = 0.004). It is worth noting that the limited number of studies calls for further research and analysis in this area. Our findings indicate the necessity of enhancing understanding of microbiota variability in reaction to treatments among PKU subjects to design tailored therapeutic and nutritional interventions to prevent complications resulting from microbiota disruption.

Keywords: dietary interventions; dysbiosis; inborn errors of metabolism; microbiota; phenylketonuria.

Publication types

  • Meta-Analysis
  • Systematic Review
  • Review

MeSH terms

  • Adult
  • Diet
  • Gastrointestinal Microbiome*
  • Humans
  • Phenylketonurias* / complications

Grants and funding

This study was partially funded by the MIUR-Fund-PON R&I 2014-2020 React-EU and University of Rome “Foro Italico” Projects [CUP H83C23000160001; Prot. 1007-2023].