Evidence map›Paper›PMID 35736423›Full record

ArticleMetabolites2022

NMR-Based Metabolomics in Differential Diagnosis of Chronic Kidney Disease (CKD) Subtypes.

Styliani A Chasapi, Evdokia Karagkouni, Dimitra Kalavrizioti, Sotirios Vamvakas, Aikaterini Zompra, Panteleimon G Takis, Dimitrios S Goumenos, Georgios A Spyroulias

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Exploring metabolic signatures in urine using NMR for improved prognosis of gliomas.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
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  5. Unveiling the metabolomic profile of growth hormone deficiency children using NMR spectroscopy.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
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  11. CKD Urine Metabolomics: Modern Concepts and Approaches.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Styliani A ChasapiDepartment of Pharmacy, University of Patras, 26504 Patras, Greece.ORCID 0000-0002-8721-1227
Evdokia KaragkouniDepartment of Pharmacy, University of Patras, 26504 Patras, Greece.
Dimitra KalavriziotiDepartment of Nephrology and Renal Transplantation, University Hospital of Patras, 26504 Patras, Greece.
Sotirios VamvakasDepartment of Nephrology and Renal Transplantation, University Hospital of Patras, 26504 Patras, Greece.
Aikaterini ZompraDepartment of Pharmacy, University of Patras, 26504 Patras, Greece.ORCID 0000-0002-4003-0082
Panteleimon G TakisSection of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.ORCID 0000-0002-7224-0412
Dimitrios S GoumenosDepartment of Nephrology and Renal Transplantation, University Hospital of Patras, 26504 Patras, Greece.
Georgios A SpyrouliasDepartment of Pharmacy, University of Patras, 26504 Patras, Greece.ORCID 0000-0003-1799-3312
University of Patras · GRGeneral University Hospital of Patras · GRImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic Kidney Disease (CKD) is considered as a major public health problem as it can lead to end-stage kidney failure, which requires replacement therapy. A prompt and accurate diagnosis, along with the appropriate treatment, can delay CKD's progression, significantly. Herein, we sought to determine whether CKD etiology can be reflected in urine metabolomics during its early stage. This is achieved through the analysis of the urine metabolic fingerprint from 108 CKD patients by means of Nuclear Magnetic Resonance (NMR) spectroscopy metabolomic analysis. We report the first NMR-metabolomics data regarding the three most common etiologies of CKD: Chronic Glomerulonephritis (IgA and Membranous Nephropathy), Diabetic Nephropathy (DN) and Hypertensive Nephrosclerosis (HN). Analysis aided a moderate glomerulonephritis clustering, providing characterization of the metabolic fluctuations between the CKD subtypes and control disease. The urine metabolome of IgA Nephropathy reveals a specific metabolism, reflecting its different etiology or origin and is useful for determining the origin of the disease. In contrast, urine metabolomes from DN and HN patients did not reveal any indicative metabolic pattern, which is consistent with their fused clinical phenotype. These findings may contribute to improving diagnostics and prognostic approaches for CKD, as well as improving our understanding of its pathology.

Indexed as

CKDeGFRglomerulonephritisIgAmembranousmetabolomicsNMR spectroscopyurine

Identifiers

PMID35736423
PMCPMC9230636
OpenAlexW4281848570

What OpenQuestion holds

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Registered trials

None linked

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.