Evidence map›Paper›PMID 24244321›Full record

Trial reportPloS one2013

Distinct metabolic profile of primary focal segmental glomerulosclerosis revealed by NMR-based metabolomics.

Xu Hao, Xia Liu, Weiming Wang, Hong Ren, Jingyuan Xie, Pingyan Shen, Donghai Lin, Nan Chen

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery.International journal of molecular sciences · 2022
    Article
  6. Review
  7. Article
  8. Biomarkers in pediatric glomerulonephritis and nephrotic syndrome.Pediatric nephrology (Berlin, Germany) · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Differences in Serum Amino Acid Phenotypes Among Patients with Diabetic Nephropathy, Hypertensive Nephropathy, and Chronic Nephritis.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. A kidney-specific genome-scale metabolic network model for analyzing focal segmental glomerulosclerosis.Mammalian genome : official journal of the International Mammalian Genome Society · 2016
    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 4 institutions in 1 country.

Xu HaoNephrology Department, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xia Liu
Weiming Wang
Hong Ren
Jingyuan Xie
Pingyan Shen
Donghai Lin
Nan Chen
Shanghai Jiao Tong University · CNRuijin Hospital · CNChinese Academy of Sciences · CNShanghai Institute of Materia Medica · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary focal segmental glomerulosclerosis (FSGS) is pathological entity which is characterized by idiopathic steroid-resistant nephrotic syndrome (SRNS) and progression to end-stage renal disease (ESRD) in the majority of affected individuals. Currently, there is no practical noninvasive technique to predict different pathological types of glomerulopathies. In this study, the role of urinary metabolomics in the diagnosis and pathogenesis of FSGS was investigated.

methodsNMR-based metabolomics was applied for the urinary metabolic profile in the patients with FSGS (n = 25), membranous nephropathy (MN, n = 24), minimal change disease (MCD, n = 14) and IgA nephropathy (IgAN, n = 26), and healthy controls (CON, n = 35). The acquired data were analyzed using principal component analysis (PCA) followed by orthogonal projections to latent structure discriminant analysis (OPLS-DA). Model validity was verified using permutation tests.

resultsFSGS patients were clearly distinguished from healthy controls and other three types of glomerulopathies with good sensitivity and specificity based on their global urinary metabolic profiles. In FSGS patients, urinary levels of glucose, dimethylamine and trimethylamine increased compared with healthy controls, while pyruvate, valine, hippurate, isoleucine, phenylacetylglycine, citrate, tyrosine, 3-methylhistidine and β-hydroxyisovalerate decreased. Additionally, FSGS patients had lower urine N-methylnicotinamide levels compared with other glomerulopathies.

conclusionsNMR-based metabonomic approach is amenable for the noninvasive diagnosis and differential diagnosis of FSGS as well as other glomerulopathies, and it could indicate the possible mechanisms of primary FSGS.

Indexed as

Magnetic Resonance SpectroscopyMetabolomeAdultAgedAged, 80 and overDiabetic NephropathiesFemaleHumansKidney Failure, ChronicMaleMiddle AgedModels, Biological

Identifiers

PMID24244321
PMCPMC3823857
OpenAlexW2015946501

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.