Evidence map›Paper›PMID 27185526›Full record

ArticleeLife2016

Hedgehog signaling is a potent regulator of liver lipid metabolism and reveals a GLI-code associated with steatosis.

Madlen Matz-Soja, Christiane Rennert, Kristin Schönefeld, Susanne Aleithe, Jan Boettger, Wolfgang Schmidt-Heck, Thomas S Weiss, Amalya Hovhannisyan, Sebastian Zellmer, Nora Klöting and 4 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Primary cilia: sensors of biliary homeostasis and disease.Nature reviews. Gastroenterology & hepatology · 2026
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  8. Single-Cell Multiome Impact of Prenatal Heavy Metal Exposure on Early Airway Development.American journal of respiratory cell and molecular biology · 2026
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  15. Article
  16. Review
  17. 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

14 authors at 4 institutions in 1 country.

Madlen Matz-SojaInstitute of Biochemistry, Faculty of Medicine, Leipzig University, Leipzig, Germany.ORCID 0000-0002-5929-3704
Christiane RennertInstitute of Biochemistry, Faculty of Medicine, Leipzig University, Leipzig, Germany.
Kristin SchönefeldInstitute of Biochemistry, Faculty of Medicine, Leipzig University, Leipzig, Germany.
Susanne AleitheInstitute of Biochemistry, Faculty of Medicine, Leipzig University, Leipzig, Germany.
Jan BoettgerInstitute of Biochemistry, Faculty of Medicine, Leipzig University, Leipzig, Germany.
Wolfgang Schmidt-HeckLeibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany.
Thomas S WeissUniversity Children Hospital, Regensburg University Hospital, Regensburg, Germany.
Amalya HovhannisyanInstitute of Biochemistry, Faculty of Medicine, Leipzig University, Leipzig, Germany.
Sebastian ZellmerInstitute of Biochemistry, Faculty of Medicine, Leipzig University, Leipzig, Germany.
Nora KlötingIntegrated Research and Treatment Centre Adiposity Diseases, Faculty of Medicine, Leipzig University, Leipzig, Germany.
Angela SchulzInstitute of Biochemistry, Faculty of Medicine, Leipzig University, Leipzig, Germany.
Jürgen KratzschInstitute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, Leipzig University, Leipzig, Germany.
Reinhardt GuthkeLeibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany.
Rolf GebhardtInstitute of Biochemistry, Faculty of Medicine, Leipzig University, Leipzig, Germany.
Leipzig University · DELeibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DEIFB Adiposity Diseases · DEUniversity Hospital Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease in industrialized countries and is increasing in prevalence. The pathomechanisms, however, are poorly understood. This study assessed the unexpected role of the Hedgehog pathway in adult liver lipid metabolism. Using transgenic mice with conditional hepatocyte-specific deletion of Smoothened in adult mice, we showed that hepatocellular inhibition of Hedgehog signaling leads to steatosis by altering the abundance of the transcription factors GLI1 and GLI3. This steatotic 'Gli-code' caused the modulation of a complex network of lipogenic transcription factors and enzymes, including SREBP1 and PNPLA3, as demonstrated by microarray analysis and siRNA experiments and could be confirmed in other steatotic mouse models as well as in steatotic human livers. Conversely, activation of the Hedgehog pathway reversed the "Gli-code" and mitigated hepatic steatosis. Collectively, our results reveal that dysfunctions in the Hedgehog pathway play an important role in hepatic steatosis and beyond.

Indexed as

Lipid MetabolismSignal TransductionAnimalsGene Expression ProfilingHumansKruppel-Like Transcription FactorsLiverMiceMice, TransgenicMicroarray AnalysisNerve Tissue ProteinsNon-alcoholic Fatty Liver DiseaseSmoothened ReceptorZinc Finger Protein GLI1Zinc Finger Protein Gli3GLI1 protein, humanGLI3 protein, humanKruppel-Like Transcription FactorsNerve Tissue ProteinsSmoothened ReceptorSmo protein, mouseZinc Finger Protein GLI1Zinc Finger Protein Gli3biochemistrycell biologyHedgehog signallinghepatocyteshumanlivermouseNAFLDsmoothenedsteatotic Gli-code

Identifiers

PMID27185526
PMCPMC4869931
OpenAlexW2406667334

What OpenQuestion holds

Textmetadata
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.