Evidence map›Paper›PMID 31727774›Full record

ArticleGenes & development2019

Activation of invariant natural killer T cells stimulates adipose tissue remodeling via adipocyte death and birth in obesity.

Jeu Park, Jin Young Huh, Jiyoung Oh, Jong In Kim, Sang Mun Han, Kyung Cheul Shin, Yong Geun Jeon, Sung Sik Choe, Jiyoung Park, Jae Bum Kim

Open access · diamondAbstract read
In one paragraph

Article in Genes & development, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Weight Loss-Associated Remodeling of Adipose Tissue Immunometabolism.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
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  15. Review
  16. Senescent T Cell Induces Brown Adipose Tissue "Whitening"Frontiers in cell and developmental biology · 2021
    Article
  17. Article
  18. Review
  19. Review
  20. 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

10 authors at 2 institutions in 1 country.

Jeu ParkNational Creative Research Initiatives Center for Adipose Tissue Remodeling, Institute of Molecular Biology and Genetics, Department of Biological Sciences, Seoul National University, Seoul 08826, South Korea.
Jin Young HuhNational Creative Research Initiatives Center for Adipose Tissue Remodeling, Institute of Molecular Biology and Genetics, Department of Biological Sciences, Seoul National University, Seoul 08826, South Korea.
Jiyoung OhDepartment of Biological Sciences, School of Life Sciences, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea.
Jong In KimNational Creative Research Initiatives Center for Adipose Tissue Remodeling, Institute of Molecular Biology and Genetics, Department of Biological Sciences, Seoul National University, Seoul 08826, South Korea.
Sang Mun HanNational Creative Research Initiatives Center for Adipose Tissue Remodeling, Institute of Molecular Biology and Genetics, Department of Biological Sciences, Seoul National University, Seoul 08826, South Korea.
Kyung Cheul ShinNational Creative Research Initiatives Center for Adipose Tissue Remodeling, Institute of Molecular Biology and Genetics, Department of Biological Sciences, Seoul National University, Seoul 08826, South Korea.
Yong Geun JeonNational Creative Research Initiatives Center for Adipose Tissue Remodeling, Institute of Molecular Biology and Genetics, Department of Biological Sciences, Seoul National University, Seoul 08826, South Korea.
Sung Sik ChoeNational Creative Research Initiatives Center for Adipose Tissue Remodeling, Institute of Molecular Biology and Genetics, Department of Biological Sciences, Seoul National University, Seoul 08826, South Korea.
Jiyoung ParkDepartment of Biological Sciences, School of Life Sciences, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea.
Jae Bum KimNational Creative Research Initiatives Center for Adipose Tissue Remodeling, Institute of Molecular Biology and Genetics, Department of Biological Sciences, Seoul National University, Seoul 08826, South Korea.
Seoul National University · KRUlsan National Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In obesity, adipose tissue undergoes dynamic remodeling processes such as adipocyte hypertrophy, hypoxia, immune responses, and adipocyte death. However, whether and how invariant natural killer T (iNKT) cells contribute to adipose tissue remodeling are elusive. In this study, we demonstrate that iNKT cells remove unhealthy adipocytes and stimulate the differentiation of healthy adipocytes. In obese adipose tissue, iNKT cells were abundantly found nearby dead adipocytes. FasL-positive adipose iNKT cells exerted cytotoxic effects to eliminate hypertrophic and pro-inflammatory Fas-positive adipocytes. Furthermore, in vivo adipocyte-lineage tracing mice model showed that activation of iNKT cells by alpha-galactosylceramide promoted adipocyte turnover, eventually leading to potentiation of the insulin-dependent glucose uptake ability in adipose tissue. Collectively, our data propose a novel role of adipose iNKT cells in the regulation of adipocyte turnover in obesity.

Indexed as

3T3 CellsAdipocytesAdipose TissueAnimalsCell DeathCell ProliferationFas Ligand Proteinfas ReceptorLymphocyte ActivationMiceMice, Inbred C57BLNatural Killer T-CellsObesityFas Ligand Proteinfas Receptoradipocyte deathadipocyte turnoveradipogenesisadipose tissue remodelingiNKT cell

Identifiers

PMID31727774
PMCPMC6942052
OpenAlexW2985623197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.