Evidence map›Paper›PMID 33957084›Full record

ArticleCell systems2021

Core liver homeostatic co-expression networks are preserved but respond to perturbations in an organism- and disease-specific manner.

Saeed Esmaili, Peter Langfelder, T Grant Belgard, Daniele Vitale, Mahmoud Karimi Azardaryany, Ghazal Alipour Talesh, Mehdi Ramezani-Moghadam, Vikki Ho, Daniel Dvorkin, Suat Dervish and 4 more

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In one paragraph

Article in Cell systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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  4. Review
  5. Frontiers in microbiology · 2026
    Article
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  7. Bile acid regulation of xenobiotic nuclear receptors on the expressions of orosomucoids in the liver.American journal of physiology. Endocrinology and metabolism · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 4 countries.

Saeed EsmailiStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia; Liver and Pancreatobiliary Diseases Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Peter LangfelderThe Jane and Terry Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, USA.
T Grant BelgardThe Bioinformatics CRO, Niceville, FL, USA.
Daniele VitaleStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia.
Mahmoud Karimi AzardaryanyStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia.
Ghazal Alipour TaleshStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia.
Mehdi Ramezani-MoghadamStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia.
Vikki HoStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia.
Daniel DvorkinThe Bioinformatics CRO, Niceville, FL, USA.
Suat DervishWestmead Research Hub, Westmead Institute for Medical Research, Sydney, NSW, Australia.
Brian S GlossWestmead Research Hub, Westmead Institute for Medical Research, Sydney, NSW, Australia.
Henning GrønbækDepartment of Hepatology and Gastroenterology, Aarhus University Hospital, Aarhus, Denmark.
Christopher LiddleStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia.
Jacob GeorgeStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia. Electronic address: jacob.george@sydney.edu.au.
Westmead Institute for Medical Research · AUWestmead Hospital · AUWestmead Institute · AUAarhus University Hospital · DKThe University of Sydney · AUUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Findings about chronic complex diseases are difficult to extrapolate from animal models to humans. We reason that organs may have core network modules that are preserved between species and are predictably altered when homeostasis is disrupted. To test this idea, we perturbed hepatic homeostasis in mice by dietary challenge and compared the liver transcriptome with that in human fatty liver disease and liver cancer. Co-expression module preservation analysis pointed to alterations in immune responses and metabolism (core modules) in both human and mouse datasets. The extent of derailment in core modules was predictive of survival in the cancer genome atlas (TCGA) liver cancer dataset. We identified module eigengene quantitative trait loci (module-eQTL) for these predictive co-expression modules, targeting of which may resolve homeostatic perturbations and improve patient outcomes. The framework presented can be used to understand homeostasis at systems levels in pre-clinical models and in humans. A record of this paper's transparent peer review process is included in the supplemental information.

Indexed as

Gene Regulatory NetworksLiver NeoplasmsAnimalsHomeostasisMiceQuantitative Trait Locicore moduleshomeostatic networkshuman fatty liverliver cancerMAFLDmetabolic (dysfunction) associated fatty liver diseasemodule_eQTLweighted gene co-expression network analysisWGCNA

Identifiers

PMID33957084
OpenAlexW3158481241

What OpenQuestion holds

Textmetadata
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.