Evidence map›Paper›PMID 31201681›Full record

ArticleInternal and emergency medicine2020

Urine and serum NMR-based metabolomics in pre-procedural prediction of contrast-induced nephropathy.

Nooshin Dalili, Saeed Chashmniam, Seyed Mojtaba Heydari Khoormizi, Lida Salehi, Seyed Ali Jamalian, Mohsen Nafar, Shiva Kalantari

Abstract read
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In one paragraph

Article in Internal and emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. CKD Urine Metabolomics: Modern Concepts and Approaches.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    Review
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Nooshin DaliliUrology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Saeed ChashmniamDepartment of Chemistry, Sharif University of Technology, Tehran, Iran.
Seyed Mojtaba Heydari KhoormiziChronic Kidney Disease Research Center, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Lida SalehiChronic Kidney Disease Research Center, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Seyed Ali JamalianDepartment of Cardiology, Shahid Lavasani Medical Center, Tehran, Iran.
Mohsen NafarChronic Kidney Disease Research Center, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shiva KalantariChronic Kidney Disease Research Center, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. shiva.kalantari@sbmu.ac.ir.
Shahid Beheshti University of Medical Sciences · IRSharif University of Technology · IR

Funding

Chronic Kidney Disease Research Center at Shahid Beheshti University of Medical Sciences 462/27
6 · The paper itself

Abstract

Contrast induced nephropathy (CIN) has been reported to be the third foremost cause of acute renal failure. Metabolomics is a robust technique that has been used to identify potential biomarkers for the prediction of renal damage. We aim to analyze the serum and urine metabolites changes, before and after using contrast for coronary angiography, to determine if metabolomics can predict early development of CIN. 66 patients undergoing elective coronary angiography were eligible for enrollment. Urine and serum samples were collected prior to administration of CM and 72 h post procedure and analyzed by nuclear magnetic resonance. The significant differential metabolites between patients who develop CIN and patients who have stable renal function after angiography were identified using U test and receiver operating characteristic analysis was performed for each metabolite candidate. Potential susceptible pathways to cytotoxic effect of CM were investigated by pathway analysis. A predictive panel composed of six urinary metabolites had the best area under the curve. Glutamic acid, uridine diphosphate, glutamine and tyrosine were the most important serum predictive biomarkers. Several pathways related to amino acid and nicotinamide metabolism were suggested as impaired pathways in CIN prone patients. Changes exist in urine and serum metabolomics patterns in patients who do and do not develop CIN after coronary angiography hence metabolites may be potential predictive identifiers of CIN.

Indexed as

Acute Kidney InjuryAgedBiomarkersContrast MediaDiagnostic ImagingFemaleHumansMaleMetabolomicsMiddle AgedROC CurveStatistics, NonparametricBiomarkersContrast MediaBiomarkerContrast induced nephropathyMetabolomicsNuclear magnetic resonance

Identifiers

PMID31201681
OpenAlexW2951084390

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.