Evidence map›Paper›PMID 37253881›Full record

ArticleNature metabolism2023

A non-coding variant linked to metabolic obesity with normal weight affects actin remodelling in subcutaneous adipocytes.

Viktoria Glunk, Samantha Laber, Nasa Sinnott-Armstrong, Debora R Sobreira, Sophie M Strobel, Thiago M Batista, Phil Kubitz, Bahareh Nemati Moud, Hannah Ebert, Yi Huang and 16 more

Open access · greenAbstract read
In one paragraph

Article in Nature metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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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

26 authors at 8 institutions in 4 countries.

Viktoria Glunk *Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
Samantha Laber *Broad Institute of MIT and Harvard, Medical and Population Genetics Program & Type 2 Diabetes Systems Genomics Initiative, Cambridge, MA, USA.
Nasa Sinnott-Armstrong *Broad Institute of MIT and Harvard, Medical and Population Genetics Program & Type 2 Diabetes Systems Genomics Initiative, Cambridge, MA, USA.
Debora R Sobreira *Department of Human Genetics, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-2232-3922
Sophie M Strobel *Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
Thiago M BatistaBroad Institute of MIT and Harvard, Medical and Population Genetics Program & Type 2 Diabetes Systems Genomics Initiative, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6971-1191
Phil KubitzInstitute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-5843-9759
Bahareh Nemati MoudInstitute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-8529-1171
Hannah EbertInstitute of Nutritional Sciences, University of Hohenheim, Stuttgart, Germany.
Yi HuangBroad Institute of MIT and Harvard, Medical and Population Genetics Program & Type 2 Diabetes Systems Genomics Initiative, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-5734-650X
Beate BrandlInstitute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-9328-8108
Garrett GarboBroad Institute of MIT and Harvard, Medical and Population Genetics Program & Type 2 Diabetes Systems Genomics Initiative, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-0316-461X
Julius HoneckerInstitute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-1592-7023
David R StirlingImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nezar AbdennurInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Virtu Calabuig-NavarroBroad Institute of MIT and Harvard, Medical and Population Genetics Program & Type 2 Diabetes Systems Genomics Initiative, Cambridge, MA, USA.
Thomas SkurkInstitute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-6875-1658
Soeren OcvirkDivision of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Kerstin StemmerMolecular Cell Biology, Institute for Theoretical Medicine, University of Augsburg, Augsburg, Germany.ORCID http://orcid.org/0000-0002-7526-2326
Beth A CiminiImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9640-9318
Anne E CarpenterImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1555-8261
Simon N DankelDepartment of Clinical Science, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0001-6972-1824
Cecilia M LindgrenBroad Institute of MIT and Harvard, Medical and Population Genetics Program & Type 2 Diabetes Systems Genomics Initiative, Cambridge, MA, USA.
Hans HaunerInstitute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
Marcelo A NobregaDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-2134-9661
Melina ClaussnitzerBroad Institute of MIT and Harvard, Medical and Population Genetics Program & Type 2 Diabetes Systems Genomics Initiative, Cambridge, MA, USA. melina@broadinstitute.org.ORCID http://orcid.org/0000-0003-2450-736X
Broad Institute · USFresenius (Germany) · DEUniversity of Chicago · USMassachusetts Institute of Technology · USUniversity of Augsburg · DEUniversity of Bergen · NOUniversity of Hohenheim · DEUniversity of Pittsburgh · US

Funding

Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Matthew J Brady · 2013 to 2026
$20.9M
Bridging the gap between type 2 diabetes GWAS and therapeutic targetsUM1DK126185 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CLAUSSNITZER, MELINA C, GLOYN, ANNA LOUISE · 2020 to 2024
$9.5M
Cardiomyopathy Genomes ProjectR01HL128075 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MCNALLY, ELIZABETH M, NOBREGA, MARCELO A. · 2015 to 2023
$5.3M
Transcriptional Mechanisms of Human Insulin ResistanceR01DK102173 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ROSEN, EVAN D · 2015 to 2022
$4.4M
NHLBI NIH HHS R01 HL128075NIDDK NIH HHS P30 DK020595NIDDK NIH HHS R01 DK102173NIDDK NIH HHS UM1 DK126185
6 · The paper itself

Abstract

Recent large-scale genomic association studies found evidence for a genetic link between increased risk of type 2 diabetes and decreased risk for adiposity-related traits, reminiscent of metabolically obese normal weight (MONW) association signatures. However, the target genes and cellular mechanisms driving such MONW associations remain to be identified. Here, we systematically identify the cellular programmes of one of the top-scoring MONW risk loci, the 2q24.3 risk locus, in subcutaneous adipocytes. We identify a causal genetic variant, rs6712203, an intronic single-nucleotide polymorphism in the COBLL1 gene, which changes the conserved transcription factor motif of POU domain, class 2, transcription factor 2, and leads to differential COBLL1 gene expression by altering the enhancer activity at the locus in subcutaneous adipocytes. We then establish the cellular programme under the genetic control of the 2q24.3 MONW risk locus and the effector gene COBLL1, which is characterized by impaired actin cytoskeleton remodelling in differentiating subcutaneous adipocytes and subsequent failure of these cells to accumulate lipids and develop into metabolically active and insulin-sensitive adipocytes. Finally, we show that perturbations of the effector gene Cobll1 in a mouse model result in organismal phenotypes matching the MONW association signature, including decreased subcutaneous body fat mass and body weight along with impaired glucose tolerance. Taken together, our results provide a mechanistic link between the genetic risk for insulin resistance and low adiposity, providing a potential therapeutic hypothesis and a framework for future identification of causal relationships between genome associations and cellular programmes in other disorders.

Indexed as

ActinsAdipocytesObesity, Metabolically BenignAnimalsCells, CulturedFemaleHaplotypesHumansMaleMiceMice, KnockoutSubcutaneous FatTranscription FactorsActinsCOBLL1 protein, humanTranscription Factors

Identifiers

PMID37253881
PMCPMC11533588
OpenAlexW4378781430

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.