Temporal Changes in Blood Metabolome Among Patients on Hemodialysis

The metabolome of patients with kidney failure on maintenance HD changes significantly over 60 months. Future work on correlating toxins and clinical outcomes is needed to drive the development of technologies that improve blood purification for people with kidney failure.

Authors

Institutions

Publication Details

Journal
Kidney International Reports
Published
2025-04-04
DOI
https://doi.org/10.1016/j.ekir.2025.03.054
Citations
2
Primary Topic
Dialysis and Renal Disease Management
Type
article
Field-Weighted Citation Impact
2.86

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Temporal Changes in Blood Metabolome Among Patients on Hemodialysis

David S. Wishart, Vida Dehghan Niestanak, Natasha Wiebe, Marcello Tonelli et al.
2 citations
Kidney International Reports
Dialysis and Renal Disease Management
2.86
article

Temporal Changes in Blood Metabolome Among Patients on Hemodialysis

David S. Wishart, Vida Dehghan Niestanak, Natasha Wiebe, Marcello Tonelli, Larry D. Unsworth, Lun Zhang
article en
2 citations

Abstract

The metabolome of patients with kidney failure on maintenance HD changes significantly over 60 months. Future work on correlating toxins and clinical outcomes is needed to drive the development of technologies that improve blood purification for people with kidney failure.

Kidney International ReportsVol. 10(6)
University of Alberta (CA), University of Calgary (CA)
Canadian Institutes of Health Research
Zero hunger
Openalex Percentile: Top 11%
Dialysis and Renal Disease Management
2.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.