Metabolomic profiling of overnight peritoneal dialysis effluents predicts the peritoneal equilibration test type

  • Kim, Hyo Jin; 
  • Choo, Munki; 
  • Kwon, Hyuk Nam; 
  • Yoo, Kyung Don; 
  • Kim, Yunmi; 
  • 외 4명
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초록

This study primarily aimed to evaluate whether peritoneal equilibration test (PET) results can be predicted through the metabolomic analysis of overnight peritoneal dialysis (PD) effluents. From a total of 125 patients, overnight PD effluents on the day of the first PET after PD initiation were analyzed. A modified 4.25% dextrose PET was performed, and the PET type was categorized according to the dialysate-to-plasma creatinine ratio at the 4-h dwell time during the PET as follows: high, high average, low average, or low transporter. Nuclear magnetic resonance (NMR)-based metabolomics was used to analyze the effluents and identify the metabolites. The predictive performances derived from the orthogonal projection to latent structure discriminant analysis (OPLS-DA) modeling of the NMR spectrum were estimated by calculating the area under the curve (AUC) using receiver operating characteristic curve analysis. The OPLS-DA score plot indicated significant metabolite differences between high and low PET types. The relative concentrations of alanine and creatinine were greater in the high transporter type than in the low transporter type. The relative concentrations of glucose and lactate were greater in the low transporter type than in the high transporter type. The AUC of a composite of four metabolites was 0.975 in distinguish between high and low PET types. Measured PET results correlated well with the total NMR metabolic profile of overnight PD effluents.

키워드

TECHNIQUE FAILURE; TRANSPORT; METABOLITES; MANAGEMENT; MORTALITY; SERUM
제목
Metabolomic profiling of overnight peritoneal dialysis effluents predicts the peritoneal equilibration test type
저자
Kim, Hyo Jin; Choo, Munki; Kwon, Hyuk Nam; Yoo, Kyung Don; Kim, Yunmi; Tsogbadrakh, Bodokhsuren; Kang, Eunjeong; Park, Sunghyouk; Oh, Kook-Hwan
DOI
10.1038/s41598-023-29741-3
발행일
2023-03
유형
Article
저널명
Scientific Reports
권
13
호
1