Evidence map›Paper›PMID 34712920›Full record

ArticleiScience2021

A network-based approach reveals the dysregulated transcriptional regulation in non-alcoholic fatty liver disease.

Hong Yang, Muhammad Arif, Meng Yuan, Xiangyu Li, Koeun Shong, Hasan Türkez, Jens Nielsen, Mathias Uhlén, Jan Borén, Cheng Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  5. Targeting the Liver Serine Protease TMPRSS6 Ameliorates Steatosis and Attenuates Fibrosis in Experimental MASLD.Liver international : official journal of the International Association for the Study of the Liver · 2025
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  14. Characterization of aniScience · 2023
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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

11 authors at 5 institutions in 5 countries.

Hong YangScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Muhammad ArifScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Meng YuanScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Xiangyu LiScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Koeun ShongScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Hasan TürkezDepartment of Medical Biology, Faculty of Medicine, Atatürk University, Erzurum, Turkey.
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden.
Mathias UhlénScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Jan BorénDepartment of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska University Hospital, Gothenburg, Sweden.
Cheng ZhangScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Adil MardinogluScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Science for Life Laboratory · SEAtatürk University · TRBioInnovation Institute · DKKing's College London · GBSahlgrenska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease worldwide. We performed network analysis to investigate the dysregulated biological processes in the disease progression and revealed the molecular mechanism underlying NAFLD. Based on network analysis, we identified a highly conserved disease-associated gene module across three different NAFLD cohorts and highlighted the predominant role of key transcriptional regulators associated with lipid and cholesterol metabolism. In addition, we revealed the detailed metabolic differences between heterogeneous NAFLD patients through integrative systems analysis of transcriptomic data and liver-specific genome-scale metabolic model. Furthermore, we identified transcription factors (TFs), including SREBF2, HNF4A, SREBF1, YY1, and KLF13, showing regulation of hepatic expression of genes in the NAFLD-associated modules and validated the TFs using data generated from a mouse NAFLD model. In conclusion, our integrative analysis facilitates the understanding of the regulatory mechanism of these perturbed TFs and their associated biological processes.

Indexed as

Gene networkHepatologySystems biology

Identifiers

PMID34712920
PMCPMC8529555
OpenAlexW3204687487

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.