Evidence map›Paper›PMID 29453465›Full record

ArticleInternational journal of obesity (2005)2018

Screening of potential adipokines identifies S100A4 as a marker of pernicious adipose tissue and insulin resistance.

Peter Arner, Paul Petrus, David Esteve, Anne Boulomié, Erik Näslund, Anders Thorell, Hui Gao, Ingrid Dahlman, Mikael Rydén

Abstract read
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In one paragraph

Article in International journal of obesity (2005), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. S100 Proteins in Fatty Liver Disease and Hepatocellular Carcinoma.International journal of molecular sciences · 2022
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. S100 proteins in obesity: liaisons dangereuses.Cellular and molecular life sciences : CMLS · 2020
    Review
  17. Epigenetic Regulation of Adipogenesis in Development of Metabolic Syndrome.Frontiers in cell and developmental biology · 2020
    Review
  18. Review
  19. Yonsei medical journal · 2018
    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 2 institutions in 2 countries.

Peter ArnerDepartment of Medicine (H7), Karolinska Institutet, 141 86, Stockholm, Sweden.
Paul PetrusDepartment of Medicine (H7), Karolinska Institutet, 141 86, Stockholm, Sweden.
David EsteveInserm, UMR 1048, Team 1, I2MC, Institute of Metabolic and Cardiovascular Diseases, BP84225, 31432, Toulouse Cedex 4, France.
Anne BoulomiéInserm, UMR 1048, Team 1, I2MC, Institute of Metabolic and Cardiovascular Diseases, BP84225, 31432, Toulouse Cedex 4, France.
Erik NäslundDivision of Surgery, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, 182 88, Stockholm, Sweden.
Anders ThorellDivision of Surgery, Ersta Hospital & Department of Clinical Science, Danderyd Hospital, Karolinska Institutet, 182 88, Stockholm, Sweden.
Hui GaoDepartment of Medicine (H7), Karolinska Institutet, 141 86, Stockholm, Sweden.
Ingrid DahlmanDepartment of Medicine (H7), Karolinska Institutet, 141 86, Stockholm, Sweden.
Mikael RydénDepartment of Medicine (H7), Karolinska Institutet, 141 86, Stockholm, Sweden. mikael.ryden@ki.se.ORCID http://orcid.org/0000-0003-4785-1876
Karolinska Institutet · SEInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdipokines are peptides secreted from white adipose tissue (WAT), which have been linked to WAT dysfunction and metabolic complications of obesity. We set out to identify novel adipokines in subcutaneous WAT (sWAT) linked to insulin resistance (IR).

methodsGene expression was determined by microarray and qPCR in obese and non-obese subjects with varying degree of IR. WAT-secreted and circulating protein levels were measured by ELISA.

resultsIn sWAT of 80 obese women discordant for IR, 44 genes encoding potential adipose-secreted proteins were differentially expressed. Among these, merely two proteins, S100A4 and MXRA5 were released from sWAT in a time-dependent manner (criterion for true adipokines) but only the circulating levels of S100A4 were higher in IR. In two additional cohorts (n = 29 and n = 56), sWAT S100A4 secretion was positively and BMI-independently associated with IR (determined by clamp or HOMA-IR), ATP-III risk score and adipocyte size (hypertrophy). In non-obese (n = 20) and obese subjects before and after bariatric surgery (n = 21), circulating and sWAT-secreted levels were highest in the obese and normalized following weight loss. Serum S100A4 concentrations were higher in subjects with type 2 diabetes. S100A4 sWAT expression associated positively with genes involved in inflammation/extracellular matrix formation and inversely with genes in metabolic pathways. Although S100A4 was expressed in both stromal cells and adipocytes, only the expression in adipocytes associated with BMI.

conclusionsS100A4 is a novel adipokine associated with IR and sWAT inflammation/adipocyte hypertrophy independently of BMI. Its value as a circulating marker for dysfunctional WAT and IR needs to be validated in larger cohorts.

Indexed as

AdipokinesAdipose Tissue, WhiteAdultBiomarkersCohort StudiesFemaleHumansInflammationInsulin ResistanceMaleMiddle AgedObesityS100 Calcium-Binding Protein A4AdipokinesBiomarkersS100A4 protein, humanS100 Calcium-Binding Protein A4

Identifiers

PMID29453465
OpenAlexW2791935879

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.