Evidence map›Paper›PMID 31623319›Full record

ArticleInternational journal of molecular sciences2019

A Proteomics-Based Approach Reveals Differential Regulation of Urine Proteins between Metabolically Healthy and Unhealthy Obese Patients.

Hicham Benabdelkamel, Afshan Masood, Meshail Okla, Mohammed Y Al-Naami, Assim A Alfadda

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Involvement of Single Nucleotide Variants in theDiabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  7. Proteomics Investigation of the Impact of theInternational journal of molecular sciences · 2023
    Article
  8. Article
  9. The Clinical Significance of Urinary Retinol-Binding Protein 4: A Review.International journal of environmental research and public health · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Serum-Based Proteomics Profiling in Adult Patients with Cystic Fibrosis.International journal of molecular sciences · 2020
    Article
  15. Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis.International journal of molecular sciences · 2020
    Review
  16. Review
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 1 institution in 1 country.

Hicham BenabdelkamelProteomics Resource Unit Obesity, Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia. hbenabdelkamel@ksu.edu.sa.
Afshan MasoodProteomics Resource Unit Obesity, Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia. afsmasood@ksu.edu.sa.ORCID 0000-0001-8082-9326
Meshail OklaDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, 183T11, Riyadh 11495, Saudi Arabia. meokla@ksu.edu.sa.
Mohammed Y Al-NaamiDepartment of Surgery, College of Medicine, King Saud University, Riyadh 11472, Saudi Arabia. alnaami@ksu.edu.sa.
Assim A AlfaddaProteomics Resource Unit Obesity, Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia. aalfadda@ksu.edu.sa.ORCID 0000-0002-4792-5188
King Saud University · SA

Funding

Technology and Innovation (MAARIFAH), King Abdulaziz City for Science and Technology, Kingdom of Saudi Arabia 08-MED513-02
6 · The paper itself

Abstract

Metabolic dysfunction associated with obesity threatens to inundate health care resources by increasing the incidences of obesity-related diseases. The aim of the present study was to investigate the changes in the urinary proteome of 18 individuals classified into metabolically healthy obese (MHO) and metabolically unhealthy obese (MUHO) patients. Proteome analysis was performed using the two-dimensional difference in gel electrophoresis (2D-DIGE) coupled with mass spectrometry (MS). Upon analysis, a total of 54 proteins were found to be affected with ≥1.5-fold change (ANOVA,

Indexed as

ProteomeProteomicsAdultBiomarkersFemaleHealth StatusHumansMaleObesityProtein Interaction MappingProteinuriaBiomarkersProteomehealthy obesemetabolic syndromeobesityproteomicsunhealthy obeseurine proteins

Identifiers

PMID31623319
PMCPMC6801506
OpenAlexW2978074348

What OpenQuestion holds

Textmetadata
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.