Evidence map›Paper›PMID 27902686›Full record

ArticlePLoS genetics2016

Genomic Characterization of Metformin Hepatic Response.

Marcelo R Luizon, Walter L Eckalbar, Yao Wang, Stacy L Jones, Robin P Smith, Megan Laurance, Lawrence Lin, Paul J Gallins, Amy S Etheridge, Fred Wright and 6 more

Open access · goldFull text read
In one paragraph

Article in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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  20. Epigenetics of Hepatic Insulin Resistance.Frontiers in endocrinology · 2021
    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

16 authors at 5 institutions in 3 countries.

Marcelo R LuizonDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America.
Walter L EckalbarDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America.
Yao WangDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America.
Stacy L JonesDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America.
Robin P SmithDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America.
Megan LauranceLibrary and Center for Knowledge Management, University of California San Francisco, San Francisco, California, United States of America.ORCID http://orcid.org/0000-0001-8219-8660
Lawrence LinDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America.
Paul J GallinsBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, United States of America.
Amy S EtheridgeEshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Fred WrightBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, United States of America.
Yihui ZhouBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, United States of America.
Cliona MolonyMerck Research Labs, Merck & Co. Inc., Kenilworth, New Jersey, United States of America.ORCID http://orcid.org/0000-0003-4578-3910
Federico InnocentiEshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Sook Wah YeeDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America.
Kathleen M GiacominiDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America.
Nadav AhituvDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America.
University of California, San Francisco · USNorth Carolina State University · USUniversity of North Carolina at Chapel Hill · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USUniversidade Federal de Minas Gerais · BR

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jennifer Y. Chen · 1986 to 2026
$30.7M
PHARMACOGENETICS OF MEMBRANE TRANSPORTERSU01GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GIACOMINI, KATHLEEN M · 2000 to 2009
$29.2M
Pharmacogenomics of Membrane TransportersU19GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KWOK, PUI-YAN · 2010 to 2014
$16.3M
UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
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
Massively parallel dissection of psychiatric regulatory networksR01MH109907 · NIMH · J. DAVID GLADSTONE INSTITUTES · PI AHITUV, NADAV, POLLARD, KATHERINE S. · 2016 to 2020
$3.4M
Integrative interpretation of the organismal consequences of non-coding variationR01CA197139 · NCI · UNIVERSITY OF WASHINGTON · PI COOPER, GREGORY MICHAEL, SHENDURE, JAY ASHOK · 2015 to 2017
$1.9M
Systems approaches to link tissue-specific expression to diseaseR01MH101819 · NIMH · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI NOBEL, ANDREW B, WRIGHT, FRED A. · 2013 to 2015
$1.3M
Genome-wide SNP genotyping and expression analysis in human liversR21DK081157 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI INNOCENTI, FEDERICO · 2009 to 2010
$596k
High Performance Computer for Computational BiosciencesS10OD021596 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALI, ANDREJ · 2016 to 2016
$443k
Permutation Approximations for Next Generation AssociationR21HG007840 · NHGRI · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI ZHOU, YIHUI · 2015 to 2016
$417k
NCI NIH HHS R01 CA197139NHGRI NIH HHS R21 HG007840NIDDK NIH HHS P30 DK026743NIDDK NIH HHS P30 DK098722NIDDK NIH HHS R21 DK081157NIGMS NIH HHS R01 GM117163NIGMS NIH HHS U01 GM061390NIGMS NIH HHS U19 GM061390NIH HHS S10 OD021596NIMH NIH HHS R01 MH101819NIMH NIH HHS R01 MH109907
6 · The paper itself

Abstract

Metformin is used as a first-line therapy for type 2 diabetes (T2D) and prescribed for numerous other diseases. However, its mechanism of action in the liver has yet to be characterized in a systematic manner. To comprehensively identify genes and regulatory elements associated with metformin treatment, we carried out RNA-seq and ChIP-seq (H3K27ac, H3K27me3) on primary human hepatocytes from the same donor treated with vehicle control, metformin or metformin and compound C, an AMP-activated protein kinase (AMPK) inhibitor (allowing to identify AMPK-independent pathways). We identified thousands of metformin responsive AMPK-dependent and AMPK-independent differentially expressed genes and regulatory elements. We functionally validated several elements for metformin-induced promoter and enhancer activity. These include an enhancer in an ataxia telangiectasia mutated (ATM) intron that has SNPs in linkage disequilibrium with a metformin treatment response GWAS lead SNP (rs11212617) that showed increased enhancer activity for the associated haplotype. Expression quantitative trait locus (eQTL) liver analysis and CRISPR activation suggest that this enhancer could be regulating ATM, which has a known role in AMPK activation, and potentially also EXPH5 and DDX10, its neighboring genes. Using ChIP-seq and siRNA knockdown, we further show that activating transcription factor 3 (ATF3), our top metformin upregulated AMPK-dependent gene, could have an important role in gluconeogenesis repression. Our findings provide a genome-wide representation of metformin hepatic response, highlight important sequences that could be associated with interindividual variability in glycemic response to metformin and identify novel T2D treatment candidates.

Indexed as

Activating Transcription Factor 3Adaptor Proteins, Signal TransducingAMP-Activated Protein KinasesAtaxia Telangiectasia Mutated ProteinsDEAD-box RNA HelicasesDiabetes Mellitus, Type 2Enhancer Elements, GeneticGene Knockdown TechniquesGluconeogenesisHaplotypesHepatocytesHumansLinkage DisequilibriumLiverMetforminPolymorphism, Single NucleotideActivating Transcription Factor 3Adaptor Proteins, Signal TransducingAMP-Activated Protein KinasesAtaxia Telangiectasia Mutated ProteinsATF3 protein, humanATM protein, humanDDX10 protein, humanDEAD-box RNA HelicasesEXPH5 protein, humanMetformin

Identifiers

PMID27902686
PMCPMC5130177
OpenAlexW2557328732

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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.