Evidence map›Paper›PMID 22434412›Full record

ReviewEndocrine2012

Obesidomics: contribution of adipose tissue secretome analysis to obesity research.

Maria Pardo, Arturo Roca-Rivada, Luisa Maria Seoane, Felipe F Casanueva

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 61 citations in OpenAlex.

  1. Trial
  2. Review
  3. Mechanisms by which obesity regulates inflammation and anti-tumor immunity in cancer.Biochemical and biophysical research communications · 2024
    Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. LncRNA-Mediated Adipogenesis in Different Adipocytes.International journal of molecular sciences · 2022
    Review
  9. Article
  10. Review
  11. Impact of Bariatric Surgery on Adipose Tissue Biology.Journal of clinical medicine · 2021
    Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Chemerin as an independent predictor of cardiovascular event risk.Therapeutic advances in endocrinology and metabolism · 2016
    Review
  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

4 authors at 3 institutions in 1 country.

Maria PardoGrupo Obesidómica, Laboratorio de Endocrinología Molecular y Celular, Instituto de Investigación Sanitaria de Santiago de Compostela, Complexo Hospitalario Universitario de Santiago (CHUS/SERGAS), Santiago de Compostela, Spain. maruxapardo@hotmail.com
Arturo Roca-Rivada
Luisa Maria Seoane
Felipe F Casanueva
Instituto de Salud Carlos III · ESInstituto de Investigación Sanitaria de Santiago · ESServicio Gallego de Salud · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is presently reaching pandemic proportions and it is becoming a major health concern in developed and developing countries due to its comorbidities like type II diabetes, cardiovascular pathologies, and some cancers. The discovery of the adipose tissue role as an endocrine gland able to secrete adipokines that affects whole-body energy homeostasis has become a key break-through toward a better molecular understanding of obesity. Among the known adipokines involved in the regulation of energy metabolism very few have been clearly seen as central regulators of insulin sensitivity, metabolism, and energy homeostasis. Thus, the discovery and characterization of new adipocyte-derived factors is still in progress. Proteomics technology has emerged as a useful tool to analyze adipose tissue secretion (secretome) dynamics giving a wider picture into the molecular events that control body weight. Besides the identification of new secreted proteins, the advantage of using this approach is the possibility to detect post-translational modifications and protein interactions that generally cannot be predicted by genome studies. In this review, we summarize the recent efforts to identify new bioactive adipokines by proteomics especially in pathological situations such as obesity.

Indexed as

MetabolomeAdipogenesisAdipose TissueAnimalsHumansMetabolomicsObesityProteomics

Identifiers

PMID22434412
OpenAlexW2084327287

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.