Evidence mapPaperPMID 37061630Full record

ArticleScientific reports2023

Metabolomics profiling distinctively identified end-stage renal disease patients from chronic kidney disease patients.

Lina A Dahabiyeh, Refat M Nimer, Khalid M Sumaily, Mohamad S Alabdaljabar, Minnie Jacob, Essa M Sabi, Maged H Hussein, Anas Abdel Rahman

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

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  14. Integrated Multi-omics Approaches for Studying Rare Genetic Diseases.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
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  19. Amino acid metabolism in kidney health and disease.Nature reviews. Nephrology · 2024
    Review
  20. 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 5 institutions in 4 countries.

Lina A DahabiyehDivision of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman, 11942, Jordan.
Refat M NimerDepartment of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid, 22110, Jordan.
Khalid M SumailyClinical Biochemistry Unit, Pathology Department, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.
Mohamad S AlabdaljabarMetabolomics Section, Department of Clinical Genomics, Center for Genomics Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh, 11211, Saudi Arabia.
Minnie JacobMetabolomics Section, Department of Clinical Genomics, Center for Genomics Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh, 11211, Saudi Arabia.
Essa M SabiClinical Biochemistry Unit, Pathology Department, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.
Maged H HusseinDepartment of Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh, 11211, Saudi Arabia.
Anas Abdel RahmanMetabolomics Section, Department of Clinical Genomics, Center for Genomics Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh, 11211, Saudi Arabia. aabdelrahman46@kfshrc.edu.sa.
King Faisal Specialist Hospital & Research Centre · SAKing Saud University · SAAlfaisal University · SAJordan University of Science and Technology · JOUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a serious public health problem characterized by progressive kidney function loss leading to end-stage renal disease (ESRD) that demands dialysis or kidney transplantation. Early detection can prevent or delay progression to ESRD. The study aimed to gain new insights into the perturbed biochemical reactions and to identify novel distinct biomarkers between ESRD and CKD. Serum samples of 32 patients with ESRD (n = 13) and CKD (n = 19) were analyzed using chemical isotope labeling liquid chromatography-mass spectrometry metabolomics approach. A total of 193 metabolites were significantly altered in ESRD compared to CKD and were mainly involved in aminoacyl-tRNA biosynthesis, branched-chain amino acid (BCAA) biosynthesis, taurine metabolism, and tryptophan metabolism. Three kynurenine derivatives, namely, 2-aminobenzoic acid, xanthurenic acid, and hydroxypicolinic acid were upregulated in ESRD compared to CKD due to the significant decrease in glomerular filtration rate with the progression of CKD to ESRD. N-Hydroxy-isoleucine, 2-aminobenzoic acid, and picolinic acid yielded AUC > 0.99 when analyzed using Receiver Operating Characteristic (ROC) analysis. Our findings suggest that inhibiting the kynurenine pathway might be a promising target to delay CKD progression and that metabolites with high discriminative ability might serve as potential prognostic biomarkers to monitor the progression of CKD to ESRD or used in combination with current markers to indicate the status of kidney damage better.

Indexed as

Kidney Failure, ChronicRenal Insufficiency, ChronicBiomarkersDisease ProgressionGlomerular Filtration RateHumansKynurenineortho-AminobenzoatesRenal DialysisRisk Factorsanthranilic acidBiomarkersKynurenineortho-Aminobenzoates

Identifiers

PMID37061630
PMCPMC10105740
OpenAlexW4365816620

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.