Evidence map›Paper›PMID 28256512›Full record

ArticleScientific reports2017

Transcriptome-based repurposing of apigenin as a potential anti-fibrotic agent targeting hepatic stellate cells.

Daniel F Hicks, Nicolas Goossens, Ana Blas-García, Takuma Tsuchida, Benjamin Wooden, Michael C Wallace, Natalia Nieto, Abigale Lade, Benjamin Redhead, Arthur I Cederbaum and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 38 citations in OpenAlex.

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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

15 authors at 4 institutions in 3 countries.

Daniel F HicksDivision of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Nicolas GoossensDivision of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Ana Blas-GarcíaDivision of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Takuma TsuchidaDivision of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Benjamin WoodenDivision of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Michael C WallaceDivision of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Natalia NietoDepartment of Pathology, University of Illinois at Chicago, Chicago, USA.
Abigale LadeDivision of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Benjamin RedheadDepartment of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Arthur I CederbaumDepartment of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, USA.
Joel T DudleyDepartment of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Bryan C FuchsDivision of Surgical Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, USA.
Youngmin A LeeDivision of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Yujin HoshidaDivision of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Scott L FriedmanDivision of Liver Diseases, Department of Medicine, Liver Cancer Program, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Icahn School of Medicine at Mount Sinai · USMassachusetts General Hospital · USUniversity Hospital of Geneva · CHUniversity of Illinois Chicago · US

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Deanna L Benson · 2015 to 2026
$35.4M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2014 to 2026
$21.3M
The Role of KLF6 in Hepatic FibrosisR01DK056621 · NIDDK · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI FRIEDMAN, SCOTT L. · 2000 to 2019
$6.2M
Molecular Prognostic Indicators in Liver Cirrhosis and CancerR01DK099558 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HOSHIDA, YUJIN · 2013 to 2016
$2.6M
TRAINING PROGRAM IN INVESTIGATIVE GASTROENTEROLOGYT32DK007792 · NIDDK · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI CHO, JUDY H. · 2001 to 2016
$2.3M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
Autophagy during hepatic stellate cell activation in alcoholic liver injuryR01AA020709 · NIAAA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRIEDMAN, SCOTT L. · 2011 to 2015
$1.8M
Hepatic autophagy, progenitor cells and fibrosisR56DK056621 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRIEDMAN, SCOTT L. · 2015 to 2015
$297k
European Research Council 671231NCI NIH HHS P30 CA196521NIAAA NIH HHS R01 AA020709NIDDK NIH HHS R01 DK056621NIDDK NIH HHS R01 DK099558NIDDK NIH HHS R56 DK056621NIDDK NIH HHS T32 DK007792NIEHS NIH HHS P30 ES023515NIH HHS S10 OD018522
6 · The paper itself

Abstract

We have used a computational approach to identify anti-fibrotic therapies by querying a transcriptome. A transcriptome signature of activated hepatic stellate cells (HSCs), the primary collagen-secreting cell in liver, and queried against a transcriptomic database that quantifies changes in gene expression in response to 1,309 FDA-approved drugs and bioactives (CMap). The flavonoid apigenin was among 9 top-ranked compounds predicted to have anti-fibrotic activity; indeed, apigenin dose-dependently reduced collagen I in the human HSC line, TWNT-4. To identify proteins mediating apigenin's effect, we next overlapped a 122-gene signature unique to HSCs with a list of 160 genes encoding proteins that are known to interact with apigenin, which identified C1QTNF2, encoding for Complement C1q tumor necrosis factor-related protein 2, a secreted adipocytokine with metabolic effects in liver. To validate its disease relevance, C1QTNF2 expression is reduced during hepatic stellate cell activation in culture and in a mouse model of alcoholic liver injury in vivo, and its expression correlates with better clinical outcomes in patients with hepatitis C cirrhosis (n = 216), suggesting it may have a protective role in cirrhosis progression.These findings reinforce the value of computational approaches to drug discovery for hepatic fibrosis, and identify C1QTNF2 as a potential mediator of apigenin's anti-fibrotic activity.

Indexed as

Drug DiscoveryDrug RepositioningTranscriptomeAnimalsAntifibrinolytic AgentsApigeninBiomarkersCell LineHepatic Stellate CellsHumansMiceAntifibrinolytic AgentsApigeninBiomarkers

Identifiers

PMID28256512
PMCPMC5335661
OpenAlexW2594169189

What OpenQuestion holds

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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.