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Dominant factors of the phosphorus regulatory network differ under various dietary phosphate loads in healthy individuals

BACKGROUND: The purpose of this study was to explore the contribution of each factor of the phosphorus metabolism network following phosphorus diet intervention via Granger causality analysis. METHODS: In this study, a total of six healthy male volunteers were enrolled. All participants sequentially...

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Detalles Bibliográficos
Autores principales: Ye, Guoxin, Zhang, Jiaying, Bi, Zhaori, Zhang, Weichen, Zhang, Minmin, Zhang, Qian, Wang, Mengjing, Chen, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253199/
https://www.ncbi.nlm.nih.gov/pubmed/34193019
http://dx.doi.org/10.1080/0886022X.2021.1945463
Descripción
Sumario:BACKGROUND: The purpose of this study was to explore the contribution of each factor of the phosphorus metabolism network following phosphorus diet intervention via Granger causality analysis. METHODS: In this study, a total of six healthy male volunteers were enrolled. All participants sequentially received regular, low-, and high-phosphorus diets. Consumption of each diet lasted for five days, with a 5-day washout period between different diets. Blood and urinary samples were collected on the fifth day of consumption of each diet at 9 time points (00:00, 04:00, 08:00, 10:00, 12:00, 14:00, 16:00, 20:00, 24:00) for measurements of serum levels of phosphate, calcium, PTH, FGF23, BALP, α-Klotho, and 1,25 D and urinary phosphorus excretion. Granger causality and the centrality of the above variables in the phosphorus network were analyzed by pairwise panel Granger causality analysis using the time-series data. RESULTS: The mean age of the participants was 28.5 ± 2.1 years. By using Granger causality analysis, we found that the α-Klotho level had the strongest connection with and played a key role in influencing the other variables. In addition, urinary phosphorus excretion was frequently regulated by other variables in the network of phosphorus metabolism following a regular phosphorus diet. After low-phosphorus diet intervention, serum phosphate affected the other factors the most, and the 1,25 D level was the main outcome factor, while urinary phosphorus excretion was the most strongly associated variable in the network of phosphorus metabolism. After high-phosphorus diet intervention, FGF23 and 1,25 D played a more critical role in active regulation and passive regulation in the Granger causality analysis. CONCLUSIONS: Variations in dietary phosphorus intake led to changes in the central factors involved in phosphorus metabolism.