Evidence map›Paper›PMID 32128093›Full record

ArticleIranian journal of basic medical sciences2019

Metabolomics approach reveals urine biomarkers and pathways associated with the pathogenesis of lupus nephritis.

Shiva Kalantari, Saeed Chashmniam, Mohsen Nafar, Zahra Zakeri, Mahmoud Parvin

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Serum Metabolic Fingerprints Characterize Systemic Lupus Erythematosus.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Immune-Related Urine Biomarkers for the Diagnosis of Lupus Nephritis.International journal of molecular sciences · 2021
    Review
  15. 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

5 authors at 2 institutions in 1 country.

Shiva KalantariChronic Kidney Disease Research Center, Shahid Beheshti University of Medical Sciences, Tehran-Iran.
Saeed ChashmniamDepartment of Chemistry, Sharif University of Technology, Tehran, Iran.
Mohsen NafarUrology-Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zahra ZakeriDepartment of Rheumatology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences Tehran, Iran.
Mahmoud ParvinDepartment of Pathology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRSharif University of Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveslupus nephritis (LN) is a severe form of systemic lupus erythematosus (SLE) with renal complications. Current diagnosis is based on invasive renal biopsy and serum antibodies and complement levels that are not specific enough. The current study aims to identify new biomarker candidates for non-invasive diagnosis of LN and explore the pathogenic mechanisms that contribute to renal injury. MATERIALS AND

methodsA metabolomics approach using 1H-nuclear magnetic resonance (1H-NMR), was developed for comparison of urine metabolic profile of 14 LN patients, 10 SLE patients, and 11 healthy controls (HCs). Differential biomarker candidates were identified by using multivariate modeling, and their diagnostic accuracy was evaluated by receiver operating characteristic analysis (ROC).

resultsThree metabolites were common in differentiating all three groups including beta-alanine, 2,2-dimethylsucssinic acid, and 3,4-Dihydroxyphenylacetaldehyde and suggested as a diagnostic panel for LN with AUC of 0.89, sensitivity of 81 %, and specificity of 100 %. Complementary analyses on pathways indicated that nicotinate and nicotinamide metabolism is the most important perturbed pathway in LN.

conclusionMetabolomics is a useful tool for identification of biomarkers with the ability to diagnose LN patients and predict perturbed pathways responsible for renal injury.

Indexed as

BiomarkerLupus nephritisMetabolomicsNon-invasive diagnosisNuclear Magnetic – ResonanceUrinary metabolites

Identifiers

PMID32128093
PMCPMC7038420
OpenAlexW2979893504

What OpenQuestion 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 OpenQuestion graph.