Evidence map›Paper›PMID 24096133›Full record

ArticleTranslational research : the journal of laboratory and clinical medicine2014

Pursuing type 1 diabetes mellitus and related complications through urinary proteomics.

Armando Caseiro, António Barros, Rita Ferreira, Ana Padrão, Miguel Aroso, Cláudio Quintaneiro, Amélia Pereira, Rosário Marinheiro, Rui Vitorino, Francisco Amado

Abstract read
PubMed Publisher
In one paragraph

Article in Translational research : the journal of laboratory and clinical medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 12% 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, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Pursuing Diabetic Nephropathy through Aqueous Humor Proteomics Analysis.Oxidative medicine and cellular longevity · 2022
    Article
  10. Article
  11. Article
  12. Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2018
    Article
  13. Article
  14. Article
  15. Insight into the molecular basis of Schistosoma haematobium-induced bladder cancer through urine proteomics.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Armando CaseiroQOPNA, Mass Spectrometry Center, Department of Chemistry, University of Aveiro, Aveiro, Portugal; College of Health Technology of Coimbra, Polytechnic Institute of Coimbra, Coimbra, Portugal.
António BarrosQOPNA, Mass Spectrometry Center, Department of Chemistry, University of Aveiro, Aveiro, Portugal.
Rita FerreiraQOPNA, Mass Spectrometry Center, Department of Chemistry, University of Aveiro, Aveiro, Portugal.
Ana PadrãoQOPNA, Mass Spectrometry Center, Department of Chemistry, University of Aveiro, Aveiro, Portugal.
Miguel ArosoQOPNA, Mass Spectrometry Center, Department of Chemistry, University of Aveiro, Aveiro, Portugal.
Cláudio QuintaneiroInternal Medicine Service, Figueira da Foz Hospital, Figueira da Foz, Portugal.
Amélia PereiraInternal Medicine Service, Figueira da Foz Hospital, Figueira da Foz, Portugal.
Rosário MarinheiroInternal Medicine Service, Figueira da Foz Hospital, Figueira da Foz, Portugal.
Rui VitorinoQOPNA, Mass Spectrometry Center, Department of Chemistry, University of Aveiro, Aveiro, Portugal. Electronic address: rvitorino@ua.pt.
Francisco AmadoQOPNA, Mass Spectrometry Center, Department of Chemistry, University of Aveiro, Aveiro, Portugal; School of Health Sciences, University of Aveiro, Aveiro, Portugal.
University of Aveiro · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a chronic metabolic disease with multiple complications, and its successful management requires early diagnosis, to allow timely interventions. Here, we have comprehensively analyzed the proteome changes in urine of type 1 diabetic subjects with and without complications such as retinopathy and nephropathy. gel electrophoresis combined to liquid chromatography-tandem mass spectrometry (GeLC-MS/MS) analysis of midstream urine highlighted the mechanisms involved in disease pathogenesis as, for instance wound healing and blood coagulation in all diabetics or altered ganglioside metabolism in retinopathy, and also some urinary proteins with potential diagnosis value. From these, gelsolin and antithrombin-III appear as promising diagnosis markers for type 1 diabetes mellitus (T1DM), whereas ephrin type-B receptor 4 and vitamin K-dependent protein Z seem to be promising markers for advanced T1DM disease state presenting retinopathy and nephropathy (T1DM-R + N). Data also suggest urinary ganglioside GM2 activator and beta-hexosaminidase subunit beta as potential urinary markers of retinopathy in diabetics. Taken together, the present exploratory urinary proteomic analysis might be seen as an important starting point for studies targeting specific urinary proteins aimed at the implementation of new biomarkers for the early detection of T1DM-related microvascular complications.

Indexed as

ProteinuriaProteomicsBiomarkersDiabetes ComplicationsDiabetes Mellitus, Type 1Diabetic NephropathiesDiabetic RetinopathyElectrophoresis, Polyacrylamide GelFemaleGas Chromatography-Mass SpectrometryHumansMaleProteinsUrinalysisBiomarkersProteins

Identifiers

PMID24096133
OpenAlexW2043317301

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.