Evidence map›Paper›PMID 26821588›Full record

ReviewJournal of molecular medicine (Berlin, Germany)2016

Understanding complexity in the HIF signaling pathway using systems biology and mathematical modeling.

Zsolt Fábián, Cormac T Taylor, Lan K Nguyen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular medicine (Berlin, Germany), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

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  18. HIF1α and metabolic reprogramming in inflammation.The Journal of clinical investigation · 2016
    Review
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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

3 authors.

Zsolt FábiánConway Institute, University College Dublin, Belfield, Dublin 4, Ireland. zsolt.fabian@ucd.ie.ORCID http://orcid.org/0000-0002-4973-9872
Cormac T TaylorConway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Lan K NguyenSystems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland. lan.k.nguyen@monash.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypoxia is a common micro-environmental stress which is experienced by cells during a range of physiologic and pathophysiologic processes. The identification of the hypoxia-inducible factor (HIF) as the master regulator of the transcriptional response to hypoxia transformed our understanding of the mechanism underpinning the hypoxic response at the molecular level and identified HIF as a potentially important new therapeutic target. It has recently become clear that multiple levels of regulatory control exert influence on the HIF pathway giving the response a complex and dynamic activity profile. These include positive and negative feedback loops within the HIF pathway as well as multiple levels of crosstalk with other signaling pathways. The emerging model reflects a multi-level regulatory network that affects multiple aspects of the physiologic response to hypoxia including proliferation, apoptosis, and differentiation. Understanding the interplay between the molecular mechanisms involved in the dynamic regulation of the HIF pathway at a systems level is critically important in defining new appropriate therapeutic targets for human diseases including ischemia, cancer, and chronic inflammation. Here, we review our current knowledge of the regulatory circuits which exert influence over the HIF response and give examples of in silico model-based predictions of the dynamic behaviour of this system.

Indexed as

Models, BiologicalSignal TransductionSystems BiologyAnimalsCarrier ProteinsFeedback, PhysiologicalGene Expression RegulationHumansHypoxiaHypoxia-Inducible Factor 1, alpha SubunitIsoenzymesMAP Kinase Signaling SystemMicroRNAsNF-kappa BProlyl HydroxylasesProtein BindingCarrier ProteinsHypoxia-Inducible Factor 1, alpha SubunitIsoenzymesMicroRNAsNF-kappa BProlyl HydroxylasesHypoxiaInflammationKeywordsMathematical modelSignal transduction

Identifiers

What OpenQuestion holds

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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.