Evidence map›Paper›PMID 31164724›Full record

ArticleInternational journal of obesity (2005)2020

Prospective analyses of white adipose tissue gene expression in relation to long-term body weight changes.

Kelvin H M Kwok, Mikael Rydén, Daniel P Andersson, Gallic Beauchef, Christelle Guere, Katell Vie, Otto Bergman, Veroniqa Lundbäck, Peter Arner, Ingrid Dahlman

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of obesity (2005), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

10 authors at 2 institutions in 2 countries.

Kelvin H M KwokDepartment of Biosciences and Nutrition, Karolinska Institutet, 141 83, Stockholm, Sweden.
Mikael RydénDepartment of Medicine (H7), Huddinge, Karolinska Institutet, 141 86, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4785-1876
Daniel P AnderssonDepartment of Medicine (H7), Huddinge, Karolinska Institutet, 141 86, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4655-4837
Gallic BeauchefCLARINS Laboratories, Pontoise, France.
Christelle GuereCLARINS Laboratories, Pontoise, France.ORCID http://orcid.org/0000-0002-7596-3050
Katell VieCLARINS Laboratories, Pontoise, France.
Otto BergmanDepartment of Medicine, Solna, Karolinska Institutet, 171 76, Stockholm, Sweden.
Veroniqa LundbäckDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, 181 86, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-1564-9788
Peter ArnerDepartment of Medicine (H7), Huddinge, Karolinska Institutet, 141 86, Stockholm, Sweden.
Ingrid DahlmanDepartment of Medicine (H7), Huddinge, Karolinska Institutet, 141 86, Stockholm, Sweden. ingrid.dahlman@ki.se.
Karolinska Institutet · SEGroupe Clarins (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTranscriptome analysis of abdominal subcutaneous white adipose tissue (sWAT) has identified important obesity-associated disturbances. However, the relation between sWAT transcriptome and long-term future changes in body weight remains elusive.

objectiveTo investigate sWAT transcriptome signatures before and after long-term weight changes and assess their predictive value for body weight changes.

designA total of 56 women were followed longitudinally and subdivided into weight-stable (WS, n = 25), weight-gaining (WG, n = 14) and weight-losing (WL, n = 17) groups between baseline and follow-up (13 ± 1 years). The fasting sWAT transcriptome was analyzed by gene microarray at baseline and follow-up. Key genes associated with weight changes were validated using quantitative real-time PCR.

resultsIn total 285 transcripts exhibited difference (FDR < 30%) in expression fold change over time between WL and WS women. WL women displayed decreased pro-inflammatory (NLRP3) but increased insulin-response gene (FASN and GLUT4) expression over time. In comparison, 461 transcripts displayed difference in expression fold change over time between WG and WS women (P < 0.05). Genes involved in autophagic processes (CDK5, SQSTM1 and FBXL2) were generally upregulated in WG women. At baseline, 307 and 302 transcripts were differentially expressed (FDR < 30%) in WL and WG women, respectively, when independently compared against WS women. Baseline expression of adipogenic and lipogenic genes (PPARG, IRS2 and HACD2) was lower, while pro-fibrotic (COL6A1) was higher, in WL than WS women; whereas protein processing genes were lower expressed in WG than in WS women.

conclusionIn adult women, long-term body weight change associates with altered sWAT transcriptome. Expression of genes associated with inflammation, insulin response, adipogenesis and lipogenesis are linked to weight loss. However, other pathways such as autophagy not only associate but also predict future weight gain suggesting that intrinsic factors in sWAT impact tissue expansion.

Indexed as

Body WeightObesityAdultFemaleHumansInflammationLipogenesisMiddle AgedProspective StudiesSubcutaneous Fat, AbdominalTranscriptome

Identifiers

PMID31164724
OpenAlexW2948928820

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.