Evidence map›Paper›PMID 29617644›Full record

ArticleCell metabolism2018

A Transcriptional Circuit Filters Oscillating Circadian Hormonal Inputs to Regulate Fat Cell Differentiation.

Zahra Bahrami-Nejad, Michael L Zhao, Stefan Tholen, Devon Hunerdosse, Karen E Tkach, Sabine van Schie, Mingyu Chung, Mary N Teruel

Open access · bronzeAbstract read
In one paragraph

Article in Cell metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

41 citing papers in PubMed, 67 citations in OpenAlex.

  1. Modified frequency-based sensitivity analysis for oscillatory system models.Journal of pharmacokinetics and pharmacodynamics · 2026
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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

8 authors at 1 institution in 1 country.

Zahra Bahrami-NejadDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Michael L ZhaoDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Stefan TholenDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Devon HunerdosseDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Karen E TkachDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Sabine van SchieDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Mingyu ChungDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Mary N TeruelDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA. Electronic address: mteruel@stanford.edu.
Stanford University · US

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
TRAINING & OUTREACH COREP50GM107615 · NIGMS · STANFORD UNIVERSITY · PI COVERT, MARKUS W · 2013 to 2017
$10.9M
Controlling tissue size by noise and feedbackR01DK106241 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI TERUEL, MARY N · 2015 to 2018
$1.4M
COMPUTATIONAL METHODS FOR PROTEOMIC ANALYSISK22HG000044 · NHGRI · UNIVERSITY OF UTAH · PI GIDDINGS, MORGAN CORINNE · 2000 to 2005
$1.3M
Controlling the rate of adipocyte differentiation: Experiments and theoryR01DK101743 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI TERUEL, MARY N · 2015 to 2017
$1.1M
CV7000S10OD018073 · OD · STANFORD UNIVERSITY · PI MEYER, TOBIAS · 2014 to 2014
$599k
Connecting early signaling dynamics to fat cell differentiation using fluorescent biosensors and single cell imagingF31DK112570 · NIDDK · STANFORD UNIVERSITY · PI ZHAO, MICHAEL · 2017 to 2018
$72k
NHGRI NIH HHS K22 HG000044NHGRI NIH HHS T32 HG000044NIDDK NIH HHS F31 DK112570NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK101743NIDDK NIH HHS R01 DK106241NIGMS NIH HHS P50 GM107615
6 · The paper itself

Abstract

Glucocorticoid and other adipogenic hormones are secreted in mammals in circadian oscillations. Loss of this circadian oscillation pattern correlates with obesity in humans, raising the intriguing question of how hormone secretion dynamics affect adipocyte differentiation. Using live, single-cell imaging of the key adipogenic transcription factors CEBPB and PPARG, endogenously tagged with fluorescent proteins, we show that pulsatile circadian hormone stimuli are rejected by the adipocyte differentiation control system. In striking contrast, equally strong persistent signals trigger maximal differentiation. We identify the mechanism of how hormone oscillations are filtered as a combination of slow and fast positive feedback centered on PPARG. Furthermore, we confirm in mice that flattening of daily glucocorticoid oscillations significantly increases the mass of subcutaneous and visceral fat pads. Together, our study provides a molecular mechanism for why stress, Cushing's disease, and other conditions for which glucocorticoid secretion loses its pulsatility may lead to obesity.

Indexed as

Transcription, Genetic3T3-L1 CellsAdipocytesAdipogenesisAnimalsCCAAT-Enhancer-Binding Protein-betaCircadian RhythmGlucocorticoidsMaleMiceMice, Inbred C57BLPPAR gammaSingle-Cell AnalysisStromal CellsCCAAT-Enhancer-Binding Protein-betaCebpb protein, mouseGlucocorticoidsPPAR gammaadipocyteadipogenesisCEBPBcell differentiationcircadian filteringglucocorticoidshormone oscillationspositive feedbackPPARG

Identifiers

PMID29617644
PMCPMC5889123
OpenAlexW2796457593

What OpenQuestion holds

Textmetadata
LicenceTDM
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.