Evidence map›Paper›PMID 34508113›Full record

ArticleScientific reports2021

Molecular characterization and cell type composition deconvolution of fibrosis in NAFLD.

Lorena Pantano, George Agyapong, Yang Shen, Zhu Zhuo, Francesc Fernandez-Albert, Werner Rust, Dagmar Knebel, Jon Hill, Carine M Boustany-Kari, Julia F Doerner and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

57 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Dysregulated mScience advances · 2026
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  6. Gene-Based Clustering Identifies QSOX1 and IL1RAP as Biomarkers of Metabolic Dysfunction-Associated Steatotic Liver Disease.Liver international : official journal of the International Association for the Study of the Liver · 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

15 authors.

Lorena Pantano *Harvard Chan Bioinformatics Core, Department of Biostatistics, Harvard T.H. Chan School of Public Health, 401 Park Dr, Boston, MA, 02215, USA.
George Agyapong *Liver Center, Division of Gastroenterology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02114, USA.
Yang Shen *Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88937, Biberach Riss, Germany.
Zhu Zhuo *Harvard Chan Bioinformatics Core, Department of Biostatistics, Harvard T.H. Chan School of Public Health, 401 Park Dr, Boston, MA, 02215, USA.
Francesc Fernandez-AlbertBoehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88937, Biberach Riss, Germany.
Werner RustBoehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88937, Biberach Riss, Germany.
Dagmar KnebelBoehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88937, Biberach Riss, Germany.
Jon HillBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.
Carine M Boustany-KariBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.
Julia F DoernerBoehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88937, Biberach Riss, Germany.
Jörg F RippmannBoehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88937, Biberach Riss, Germany.
Raymond T ChungLiver Center, Division of Gastroenterology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02114, USA. Chung.Raymond@mgh.harvard.edu.
Shannan J Ho SuiHarvard Chan Bioinformatics Core, Department of Biostatistics, Harvard T.H. Chan School of Public Health, 401 Park Dr, Boston, MA, 02215, USA. shosui@hsph.harvard.edu.
Eric SimonBoehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88937, Biberach Riss, Germany. eric.simon@boehringer-ingelheim.com.
Kathleen E CoreyLiver Center, Division of Gastroenterology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02114, USA. kcorey@partners.org.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) is the most common cause of liver disease worldwide. In adults with NAFLD, fibrosis can develop and progress to liver cirrhosis and liver failure. However, the underlying molecular mechanisms of fibrosis progression are not fully understood. Using total RNA-Seq, we investigated the molecular mechanisms of NAFLD and fibrosis. We sequenced liver tissue from 143 adults across the full spectrum of fibrosis stage including those with stage 4 fibrosis (cirrhosis). We identified gene expression clusters that strongly correlate with fibrosis stage including four genes that have been found consistently across previously published transcriptomic studies on NASH i.e. COL1A2, EFEMP2, FBLN5 and THBS2. Using cell type deconvolution, we estimated the loss of hepatocytes versus gain of hepatic stellate cells, macrophages and cholangiocytes with advancing fibrosis stage. Hepatocyte-specific functional analysis indicated increase of pro-apoptotic pathways and markers of bipotent hepatocyte/cholangiocyte precursors. Regression modelling was used to derive predictors of fibrosis stage. This study elucidated molecular and cell composition changes associated with increasing fibrosis stage in NAFLD and defined informative gene signatures for the disease.

Indexed as

BiomarkersDisease SusceptibilityAdultCellular MicroenvironmentComputational BiologyData MiningFemaleGene Expression ProfilingGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansImmunohistochemistryLiver CirrhosisMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseBiomarkers

Identifiers

PMID34508113
PMCPMC8433177

What OpenQuestion holds

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Registered trials

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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.