Evidence map›Paper›PMID 34618686›Full record

ArticleThe Journal of clinical investigation2021

Inhibiting serotonin signaling through HTR2B in visceral adipose tissue improves obesity-related insulin resistance.

Won Gun Choi, Wonsuk Choi, Tae Jung Oh, Hye-Na Cha, Inseon Hwang, Yun Kyung Lee, Seung Yeon Lee, Hyemi Shin, Ajin Lim, Dongryeol Ryu and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Review
  6. Tryptophan's Journey Through Pregnancy: The Role of Serotonin.International journal of tryptophan research : IJTR · 2026
    Review
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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

14 authors at 5 institutions in 1 country.

Won Gun ChoiGraduate School of Medical Science and Engineering, Biomedical Research Center, KAIST, Daejeon, South Korea.
Wonsuk ChoiGraduate School of Medical Science and Engineering, Biomedical Research Center, KAIST, Daejeon, South Korea.
Tae Jung OhDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea.
Hye-Na ChaDepartment of Physiology, College of Medicine, Yeungnam University, Daegu, South Korea.
Inseon HwangGraduate School of Medical Science and Engineering, Biomedical Research Center, KAIST, Daejeon, South Korea.
Yun Kyung LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Seung Yeon LeeGraduate School of Medical Science and Engineering, Biomedical Research Center, KAIST, Daejeon, South Korea.
Hyemi ShinGraduate School of Medical Science and Engineering, Biomedical Research Center, KAIST, Daejeon, South Korea.
Ajin LimGraduate School of Medical Science and Engineering, Biomedical Research Center, KAIST, Daejeon, South Korea.
Dongryeol RyuDepartment of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, South Korea.
Jae Myoung SuhGraduate School of Medical Science and Engineering, Biomedical Research Center, KAIST, Daejeon, South Korea.
So-Young ParkDepartment of Physiology, College of Medicine, Yeungnam University, Daegu, South Korea.
Sung Hee ChoiDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea.
Hail KimGraduate School of Medical Science and Engineering, Biomedical Research Center, KAIST, Daejeon, South Korea.
Korea Advanced Institute of Science and Technology · KRSeoul National University · KRYeungnam University · KRSeoul National University Bundang Hospital · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin resistance is a cornerstone of obesity-related complications such as type 2 diabetes, metabolic syndrome, and nonalcoholic fatty liver disease. A high rate of lipolysis is known to be associated with insulin resistance, and inhibiting adipose tissue lipolysis improves obesity-related insulin resistance. Here, we demonstrate that inhibition of serotonin (5-hydroxytryptamine [5-HT]) signaling through serotonin receptor 2B (HTR2B) in adipose tissues ameliorates insulin resistance by reducing lipolysis in visceral adipocytes. Chronic high-fat diet (HFD) feeding increased Htr2b expression in epididymal white adipose tissue, resulting in increased HTR2B signaling in visceral white adipose tissue. Moreover, HTR2B expression in white adipose tissue was increased in obese humans and positively correlated with metabolic parameters. We further found that adipocyte-specific Htr2b-knockout mice are resistant to HFD-induced insulin resistance, visceral adipose tissue inflammation, and hepatic steatosis. Enhanced 5-HT signaling through HTR2B directly activated lipolysis through phosphorylation of hormone-sensitive lipase in visceral adipocytes. Moreover, treatment with a selective HTR2B antagonist attenuated HFD-induced insulin resistance, visceral adipose tissue inflammation, and hepatic steatosis. Thus, adipose HTR2B signaling could be a potential therapeutic target for treatment of obesity-related insulin resistance.

Indexed as

Insulin ResistanceAdipocytesAdipocytes, WhiteAdipose TissueAdipose Tissue, WhiteAdultAnimalsDiet, High-FatEpididymisFemaleGlycerolHumansInflammationInsulinIntra-Abdominal FatLipolysisGlycerolInsulinReceptor, Serotonin, 5-HT2BSerotoninCell BiologyDiabetesMetabolismMolecular biologyObesity

Identifiers

PMID34618686
PMCPMC8631597
OpenAlexW3204952027

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.