Evidence map›Paper›PMID 35385705›Full record

ArticleCell metabolism2022

Deadenylase-dependent mRNA decay of GDF15 and FGF21 orchestrates food intake and energy expenditure.

Sakie Katsumura, Nadeem Siddiqui, Michael Rock Goldsmith, Jaime H Cheah, Teppei Fujikawa, Genki Minegishi, Atsushi Yamagata, Yukako Yabuki, Kaoru Kobayashi, Mikako Shirouzu and 6 more

Open access · greenAbstract read
In one paragraph

Article in Cell metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
9.2field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 55 citations in OpenAlex.

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  17. Databases of ligand-binding pockets and protein-ligand interactions.Computational and structural biotechnology journal · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 3 countries.

Sakie KatsumuraDepartment of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Nadeem SiddiquiDepartment of Biochemistry and Goodman Cancer Research Centre, McGill University, Montreal, QC H3A 1A3, Canada.
Michael Rock GoldsmithChemical Computing Group ULC, Montreal, QC H3A 2R7, Canada.
Jaime H CheahHigh Throughput Sciences Facility, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Teppei FujikawaCenter for Hypothalamic Research, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Genki MinegishiLaboratory of DDS Design and Drug Disposition, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba 260-8675, Japan.
Atsushi YamagataRIKEN Center for Biosystems Dynamics Research, Yokohama, Kanagawa 230-0045, Japan.
Yukako YabukiRIKEN Center for Biosystems Dynamics Research, Yokohama, Kanagawa 230-0045, Japan.
Kaoru KobayashiDepartment of Biopharmaceutics, Graduate School of Clinical Pharmacy, Meiji Pharmaceutical University, Kiyose-shi, Tokyo 204-8588, Japan.
Mikako ShirouzuRIKEN Center for Biosystems Dynamics Research, Yokohama, Kanagawa 230-0045, Japan.
Takeshi InagakiLaboratory of Epigenetics and Metabolism, Institute for Molecular and Cellular Regulation, Gunma University, Maebashi-shi, Gunma 371-8512, Japan.
Tim H-M HuangDepartment of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Nicolas MusiBarshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA; San Antonio Geriatric Research, Education, and Clinical Center, South Texas Veterans Health Care System, San Antonio, TX 78229, USA.
Ivan TopisirovicLady Davis Institute, Sir Mortimer B. Davis Jewish General Hospital, Montreal, QC H3A 1A3, Canada; Gerald Bronfman Department of Oncology, Division of Experimental Medicine and Department of Biochemistry, McGill University, Montreal, QC H3A 1A3, Canada.
Ola LarssonDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institute, 171 65 Stockholm, Sweden.
Masahiro MoritaDepartment of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA; Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA. Electronic address: moritam@uthscsa.edu.
RIKEN Center for Biosystems Dynamics Research · JPThe University of Texas Health Science Center at San Antonio · USChiba University · JPMcGill University · CAThe University of Texas Southwestern Medical Center · US

Funding

TISSUE CULTURE---COREP30CA054174 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Lei Zheng · 1991 to 2026
$59.1M
TRANSGENIC COREP30AG013319 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JAMES FLOYD NELSON · 1995 to 2026
$30.6M
San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon, Elena Volpi · 2015 to 2026
$14.1M
TRAINING GRANT ON THE BIOLOGY OF AGINGT32AG021890 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Erzsebet Kokovay, JAMES FLOYD NELSON · 2003 to 2026
$11.4M
Systems Analysis of Epigenomic Architecture in Cancer ProgressionU54CA217297 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HUANG, TIM H.-M. · 2017 to 2021
$9.3M
Role of TLR4 on insulin resistance in humansR01DK080157 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI MUSI, NICOLAS · 2008 to 2017
$3.0M
Effect of age on glucose and lipid metabolismR01DK089229 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI MUSI, NICOLAS · 2010 to 2013
$1.3M
NCI NIH HHS P30 CA054174NCI NIH HHS U54 CA217297NIA NIH HHS P30 AG013319NIA NIH HHS P30 AG044271NIA NIH HHS T32 AG021890NIDDK NIH HHS R01 DK080157NIDDK NIH HHS R01 DK089229
6 · The paper itself

Abstract

Hepatokines, secretory proteins from the liver, mediate inter-organ communication to maintain a metabolic balance between food intake and energy expenditure. However, molecular mechanisms by which hepatokine levels are rapidly adjusted following stimuli are largely unknown. Here, we unravel how CNOT6L deadenylase switches off hepatokine expression after responding to stimuli (e.g., exercise and food) to orchestrate energy intake and expenditure. Mechanistically, CNOT6L inhibition stabilizes hepatic Gdf15 and Fgf21 mRNAs, increasing corresponding serum protein levels. The resulting upregulation of GDF15 stimulates the hindbrain to suppress appetite, while increased FGF21 affects the liver and adipose tissues to induce energy expenditure and lipid consumption. Despite the potential of hepatokines to treat metabolic disorders, their administration therapies have been challenging. Using small-molecule screening, we identified a CNOT6L inhibitor enhancing GDF15 and FGF21 hepatokine levels, which dramatically improves diet-induced metabolic syndrome. Our discovery, therefore, lays the foundation for an unprecedented strategy to treat metabolic syndrome.

Indexed as

Metabolic SyndromeRNA StabilityAnimalsEatingEnergy MetabolismFibroblast Growth FactorsGrowth Differentiation Factor 15HumansLiverMiceRibonucleasesCNOT6L protein, humanCnot6l protein, mousefibroblast growth factor 21Fibroblast Growth FactorsGDF15 protein, humanGrowth Differentiation Factor 15RibonucleasesCCR4-NOT deadenylase complexenergy expenditureFGF21food intakeGDF15hepatokineinter-organ communicationmetabolic syndromemRNA degradation

Identifiers

PMID35385705
PMCPMC9386786
OpenAlexW4223640332

What OpenQuestion holds

Textmetadata
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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.