Evidence map›Paper›PMID 27160966›Full record

ArticleScientific reports2016

Proteome-wide alterations on adipose tissue from obese patients as age-, diabetes- and gender-specific hallmarks.

María Gómez-Serrano, Emilio Camafeita, Eva García-Santos, Juan A López, Miguel A Rubio, Andrés Sánchez-Pernaute, Antonio Torres, Jesús Vázquez, Belén Peral

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
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  5. Article
  6. Review
  7. Article
  8. White adipose tissue mitochondrial bioenergetics in metabolic diseases.Reviews in endocrine & metabolic disorders · 2023
    Review
  9. Article
  10. Article
  11. Mitochondrial heterogeneity in diseases.Signal transduction and targeted therapy · 2023
    Review
  12. Review
  13. Article
  14. Article
  15. Proteomic Signatures of Human Visceral and Subcutaneous Adipocytes.The Journal of clinical endocrinology and metabolism · 2022
    Observational
  16. Cell reports. Medicine · 2021
    Article
  17. Article
  18. Review
  19. Article
  20. 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

9 authors at 4 institutions in 1 country.

María Gómez-SerranoInstituto de Investigaciones Biomédicas, Alberto Sols, (IIBM); Consejo Superior de Investigaciones Científicas &Universidad Autónoma de Madrid (CSIC-UAM), Madrid, 28029, Spain.
Emilio CamafeitaLaboratory of Cardiovascular Proteomics, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, 28029, Spain.
Eva García-SantosInstituto de Investigaciones Biomédicas, Alberto Sols, (IIBM); Consejo Superior de Investigaciones Científicas &Universidad Autónoma de Madrid (CSIC-UAM), Madrid, 28029, Spain.
Juan A LópezLaboratory of Cardiovascular Proteomics, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, 28029, Spain.
Miguel A RubioDepartment of Endocrinology, Hospital Clínico San Carlos (IDISSC), Facultad de Medicina, Universidad Complutense, Madrid, 28040, Spain.
Andrés Sánchez-PernauteDepartment of Surgery, Hospital Clínico San Carlos (IDISSC), Facultad de Medicina, Universidad Complutense, Madrid, 28040, Spain.
Antonio TorresDepartment of Surgery, Hospital Clínico San Carlos (IDISSC), Facultad de Medicina, Universidad Complutense, Madrid, 28040, Spain.
Jesús VázquezLaboratory of Cardiovascular Proteomics, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, 28029, Spain.
Belén PeralInstituto de Investigaciones Biomédicas, Alberto Sols, (IIBM); Consejo Superior de Investigaciones Científicas &Universidad Autónoma de Madrid (CSIC-UAM), Madrid, 28029, Spain.
Hospital Clínico San Carlos · ESSpanish National Centre for Cardiovascular Research · ESInstituto de Investigaciones Biomédicas Sols-Morreale · ESInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a main global health issue and an outstanding cause of morbidity and mortality predisposing to type 2 diabetes (T2DM) and cardiovascular diseases. Huge research efforts focused on gene expression, cellular signalling and metabolism in obesity have improved our understanding of these disorders; nevertheless, to bridge the gap between the regulation of gene expression and changes in signalling/metabolism, protein levels must be assessed. We have extensively analysed visceral adipose tissue from age-, T2DM- and gender-matched obese patients using high-throughput proteomics and systems biology methods to identify new biomarkers for the onset of T2DM in obesity, as well as to gain insight into the influence of aging and gender in these disorders. About 250 proteins showed significant abundance differences in the age, T2DM and gender comparisons. In diabetic patients, remarkable gender-specific hallmarks were discovered regarding redox status, immune response and adipose tissue accumulation. Both aging and T2DM processes were associated with mitochondrial remodelling, albeit through well-differentiated proteome changes. Systems biology analysis highlighted mitochondrial proteins that could play a key role in the age-dependent pathophysiology of T2DM. Our findings could serve as a framework for future research in Translational Medicine directed at improving the quality of life of obese patients.

Indexed as

ProteomicsSex CharacteristicsAdipose TissueAdultAge FactorsCluster AnalysisDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedObesityProteomeSystems BiologyProteome

Identifiers

PMID27160966
PMCPMC4861930
OpenAlexW2411429675

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.