Evidence map›Paper›PMID 30653498›Full record

ArticlePLoS biology2019

Organic cation transporter 3 (Oct3) is a distinct catecholamines clearance route in adipocytes mediating the beiging of white adipose tissue.

Wenxin Song, Qi Luo, Yuping Zhang, Linkang Zhou, Ye Liu, Zhilong Ma, Jianan Guo, Yuedong Huang, Lili Cheng, Ziyi Meng and 8 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
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    Article
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  20. Uncoupling Protein 1 Does Not Produce Heat without Activation.International journal of molecular sciences · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 3 countries.

Wenxin SongSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Qi LuoSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Yuping ZhangSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Linkang ZhouState Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Ye LiuSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Zhilong MaSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Jianan GuoSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Yuedong HuangSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Lili ChengSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Ziyi MengSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Zicheng LiState Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Bin ZhangInstitute of Immunology, School of Medicine, Tsinghua University, Beijing, China.
Siqi LiSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Sook Wah YeeDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California, San Francisco, California.
Hao FanBioinformatics Institute, Agency for Science, Technology and Research, Singapore; Department of Biological Sciences, National University of Singapore, Singapore; Centre for Computational Biology, DUKE-NUS Medical School, Singapore.
Peng LiState Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Kathleen M GiacominiDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California, San Francisco, California.
Ligong ChenSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.ORCID 0000-0002-7893-7173
Tsinghua University · CNCenter for Life Sciences · CNUniversity of California, San Francisco · USAgency for Science, Technology and Research · SGSichuan University · CN

Funding

Equipment Supplement for Discovery of Pharmacogenomic Biomarkers for OATP1B1 and OATP1B3R01GM117163 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FLOREZ, JOSE CARLOS, HEDDERSON, MONIQUE MARIE · 2015 to 2023
$5.5M
NIGMS NIH HHS R01 GM117163
6 · The paper itself

Abstract

Beiging of white adipose tissue (WAT) is a particularly appealing target for therapeutics in the treatment of metabolic diseases through norepinephrine (NE)-mediated signaling pathways. Although previous studies report NE clearance mechanisms via SLC6A2 on sympathetic neurons or proinflammatory macrophages in adipose tissues (ATs), the low catecholamine clearance capacity of SLC6A2 may limit the cleaning efficiency. Here, we report that mouse organic cation transporter 3 (Oct3; Slc22a3) is highly expressed in WAT and displays the greatest uptake rate of NE as a selective non-neural route of NE clearance in white adipocytes, which differs from other known routes such as adjacent neurons or macrophages. We further show that adipocytes express high levels of NE degradation enzymes Maoa, Maob, and Comt, providing the molecular basis on NE clearance by adipocytes together with its reuptake transporter Oct3. Under NE administration, ablation of Oct3 induces higher body temperature, thermogenesis, and lipolysis compared with littermate controls. After prolonged cold challenge, inguinal WAT (ingWAT) in adipose-specific Oct3-deficient mice shows much stronger browning characteristics and significantly elevated expression of thermogenic and mitochondrial biogenesis genes than in littermate controls, and this response involves enhanced β-adrenergic receptor (β-AR)/protein kinase A (PKA)/cyclic adenosine monophosphate (cAMP)-responsive element binding protein (Creb) pathway activation. Glycolytic genes are reprogrammed to significantly higher levels to compensate for the loss of ATP production in adipose-specific Oct3 knockout (KO) mice, indicating the fundamental role of glucose metabolism during beiging. Inhibition of β-AR largely abolishes the higher lipolytic and thermogenic activities in Oct3-deficient ingWAT, indicating the NE overload in the vicinity of adipocytes in Oct3 KO adipocytes. Of note, reduced functional alleles in human OCT3 are also identified to be associated with increased basal metabolic rate (BMR). Collectively, our results demonstrate that Oct3 governs β-AR activity as a NE recycling transporter in white adipocytes, offering potential therapeutic applications for metabolic disorders.

Indexed as

AdipocytesAdipose TissueAdipose Tissue, BeigeAdipose Tissue, WhiteAnimalsCatecholaminesCyclic AMP-Dependent Protein KinasesCyclic AMP Response Element-Binding ProteinEnergy MetabolismHEK293 CellsHumansMacrophagesMaleMiceMice, Inbred C57BLNorepinephrineCatecholaminesCyclic AMP-Dependent Protein KinasesCyclic AMP Response Element-Binding ProteinNorepinephrineNorepinephrine Plasma Membrane Transport ProteinsOctamer Transcription Factor-3Organic Cation Transporter 3Organic Cation Transport ProteinsPOU5F1 protein, human

Identifiers

PMID30653498
PMCPMC6336244
OpenAlexW2911096536

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.