ArticleInternational journal of molecular sciences2022
Metabolomic Profiling of Plasma, Urine, and Saliva of Kidney Transplantation Recipients.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- A colorimetric sensor array based on merging silver nanozymes and gold nanoparticles for chronic kidney disease diagnosis and post-transplant monitoring.RSC advances · 2026Article
- Benchmarking the urinary transplant metabolome of kidney transplant recipients using healthy organ donors.Frontiers in transplantation · 2026Article
- Metabolomics for the Identification of Biomarkers in Kidney Diseases.Nanotheranostics · 2025Review
- Associations between Kidney Disease Progression and Metabolomic Profiling in Stable Kidney Transplant Recipients-A 3 Year Follow-Up Prospective Study.Journal of clinical medicine · 2024Article
- Profiling of metabolic dysregulation in ovarian cancer tissues and biofluids.Scientific reports · 2024Article
- Stage-Specific Plasma Metabolomic Profiles in Colorectal Cancer.Journal of clinical medicine · 2024Article
- Salivary metabolomic biomarkers for non-invasive lung cancer detection.Cancer science · 2024Article
- Untargeted NMR-based metabolomics analysis of kidney allograft perfusates identifies a signature of delayed graft function.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Multi-omics Approach in Kidney Transplant: Lessons Learned from COVID-19 Pandemic.Current transplantation reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Kidney biopsy is commonly used to diagnose kidney transplant dysfunction after transplantation. Therefore, the development of minimally invasive and quantitative methods to evaluate kidney function in transplant recipients is necessary. Here, we used capillary electrophoresis-mass spectrometry to analyze the biofluids collected from transplant recipients with impaired (Group I, n = 31) and stable (Group S, n = 19) kidney function and from donors (Group D, n = 9). Metabolomics analyses identified and quantified 97 metabolites in plasma, 133 metabolites in urine, and 108 metabolites in saliva. Multivariate analyses revealed apparent differences in the metabolomic profiles of the three groups. In plasma samples, arginine biosynthesis and purine metabolism between the I and S Groups differed. In addition, considerable differences in metabolomic profiles were observed between samples collected from participants with T cell-mediated rejection (TCR), antibody-mediated rejection, and other kidney disorders (KD). The metabolomic profiles in the three types of biofluids showed different patterns between TCR and KD, wherein 3-indoxyl sulfate showed a significant increase in TCR consistently in both plasma and urine samples. These results suggest that each biofluid has different metabolite features to evaluate kidney function after transplantation and that 3-indoxyl sulfate could predict acute rejection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.