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

Ye, Guoxin; Zhang, Jiaying; Bi, Zhaori; Zhang, Weichen; Zhang, Qian; Wang, Mengjing; Chen, Jing

doi:10.1080/0886022x.2021.1945463

Cited by 3 publications

(3 citation statements)

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“…After low-phosphorus (500 mg/d) diets, serum phosphorus affected other factors, with 1,25D being the main output factor, while urinary phosphorus excretion was the most strongly connected variable in the phosphorus metabolic network. After high-phosphorus (2200 mg/d) diets, both serum FGF23 and 1,25D played critical roles in active and passive phosphorus regulation (Figure 2) [24]. These results illustrated how the dominant mechanisms of phosphorus regulation differ under different dietary conditions and suggest that the precise phosphorus regulatory network mechanisms need to be further explored.…”

Section: Phosphorus Homeostasis and In-depth Review Of Phosphorus Reg...mentioning

confidence: 90%

Focusing on Phosphorus Loads: From Healthy People to Chronic Kidney Disease

et al. 2023

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Phosphorus is an essential micromineral with a key role in cellular metabolism and tissue structure. Serum phosphorus is maintained in a homeostatic range by the intestines, bones, and kidneys. This process is coordinated by the endocrine system through the highly integrated actions of several hormones, including FGF23, PTH, Klotho, and 1,25D. The excretion kinetics of the kidney after diet phosphorus load or the serum phosphorus kinetics during hemodialysis support that there is a “pool” for temporary phosphorus storage, leading to the maintenance of stable serum phosphorus levels. Phosphorus overload refers to a state where the phosphorus load is higher than is physiologically necessary. It can be caused by a persistently high-phosphorus diet, renal function decline, bone disease, insufficient dialysis, and inappropriate medications, and includes but is not limited to hyperphosphatemia. Serum phosphorus is still the most commonly used indicator of phosphorus overload. Trending phosphorus levels to see if they are chronically elevated is recommended instead of a single test when judging phosphorus overload. Future studies are needed to validate the prognostic role of a new marker or markers of phosphorus overload.

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Section: Phosphorus Homeostasis and In-depth Review Of Phosphorus Reg...mentioning

confidence: 90%

Focusing on Phosphorus Loads: From Healthy People to Chronic Kidney Disease

et al. 2023

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“…Second, phosphorus homeostasis is a balance between intestinal absorption, renal excretion, and an internal contribution from the bone. Phosphatonins interact with each other to keep serum phosphate in the normal range [ 1 ]. Therefore, during a high-phosphorus diet, the body will activate various mechanisms to maintain serum phosphate stability.…”

Section: Discussionmentioning

confidence: 99%

“…Approximately 40–60% of the total ingested phosphorus in food is absorbed by the small intestine, and the rest is excreted from feces. Phosphorus excretion occurs mainly through urine, regulated by a network consisting of phosphatonins, such as parathyroid hormone (PTH), fibroblast growth factor 23 (FGF23), Klotho, vitamin D3, thereby maintaining phosphorus homeostasis [ 1 ]. However, dietary phosphorus intake seemingly continues to increase as a result of the increasing application of phosphorus additives to processed foods and soft drinks [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of a high-phosphorus diet on the gut microbiota in CKD rats

Yang

et al. 2021

Renal Failure

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Objective To investigate whether high-phosphorus diets alter gut microbiota in healthy rats and chronic kidney disease (CKD) rats. Methods In this 4-week randomized controlled trial, healthy rats and CKD rats were fed a regular-phosphorus (Pi: 0.8%) and high-phosphorus (Pi: 1.2%) diet. The subjects were divided into four groups: sham-group rats with regular-phosphorus diet intervention (CTL group), sham-group rats with high-phosphorus diet intervention (CTLP group), CKD model rats with regular-phosphorus diet intervention (CKD group), and CKD model rats with high-phosphorus diet intervention (CKDP group). The V3-V4 region of the 16S rRNA gene was sequenced to study the effect of a high-phosphorus diet on gut microbiota. Results A high-phosphorus intervention increased systolic blood pressure (SBP) and parathyroid hormone (PTH) in CTL and CKD rats but did not change serum creatinine and 25(OH)D levels. After the high-phosphorus diet, serum phosphate and fibroblast growth factor 23 (FGF23) increased in the CKDP group compared with the CKD group. The gut microbiota was significantly altered after intervention with a high-phosphorus diet in CTL and CKD group rats. A high-phosphorus diet reduced the Shannon index values of gut microbiota in all rats. The Chao1 and Ace indexes were decreased in the CTL group after high-phosphorus diet intervention. Some microbial genera were elevated significantly after high-phosphorus dietary intervention, such as Blautia and Allobaculum . The main bacteria linked to SBP and FGF23 also correlated directly with creatinine. After high-phosphorus diet intervention, the bacteria Prevotella were positively related to SBP in CTLP and CKDP groups. Conclusions High-phosphorus diets were associated with adverse changes in gut microbiota and elevated SBP, which may have adverse consequences for long-term health outcomes.

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Predicting CKD progression using time-series clustering and light gradient boosting machines

Saito,

Yoshimura,

Tanaka

et al. 2024

Sci Rep

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Predicting the transition of kidney function in chronic kidney disease is difficult as specific symptoms are lacking and often overlooked, and progress occurs due to complicating factors. In this study, we applied time-series cluster analysis and a light gradient boosting machine to predict the trajectories of kidney function in non-dialysis dependent chronic kidney disease patients with baseline estimated glomerular filtration rate (GFR) ≥ 45 mL/min/1.73 m2. Based on 5-year changes in estimated GFR, participants were stratified into groups with similar trajectories by cluster analysis. Next, we applied the light gradient boosting machine algorithm and Shapley addictive explanation to develop a prediction model for clusters and identify important parameters for prediction. Data from 780 participants were available for analysis. Participants were classified into five classes (Class 1: n = 78, mean [± standard deviation] estimated GFR 100 ± 19.3 mL/min/1.73 m2; Class 2: n = 176, 76.0 ± 9.3 mL/min/1.73 m2; Class 3: n = 191, 59.8 ± 5.9 mL/min/1.73 m2; Class 4: n = 261, 52.7 ± 4.6 mL/min/1.73 m2; and Class 5: n = 74, 53.5 ± 12.0 mL/min/1.73 m2). Declines in estimated GFR were 8.9% in Class 1, 12.2% in Class 2, 4.9% in Class 3, 12.0% in Class 4, and 45.1% in Class 5 during the 5-year period. The accuracy of prediction was 0.675, and the top three most important Shapley addictive explanation values were 1.61 for baseline estimated GFR, 0.12 for hemoglobin, and 0.11 for body mass index. The estimated GFR transition of patients with preserved chronic kidney disease mostly depended on baseline estimated GFR, and the borderline for estimated GFR trajectory was nearly 50 mL/min/1.73 m2.

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

Cited by 3 publications

References 51 publications

Focusing on Phosphorus Loads: From Healthy People to Chronic Kidney Disease

Focusing on Phosphorus Loads: From Healthy People to Chronic Kidney Disease

Effects of a high-phosphorus diet on the gut microbiota in CKD rats

Predicting CKD progression using time-series clustering and light gradient boosting machines

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