Evidence map›Paper›PMID 27267766›Full record

ArticleCell cycle (Georgetown, Tex.)2016

Common pathway signature in lung and liver fibrosis.

Eugene Makarev, Evgeny Izumchenko, Fumiaki Aihara, Piotr T Wysocki, Qingsong Zhu, Anton Buzdin, David Sidransky, Alex Zhavoronkov, Anthony Atala

Open access · hybridAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 65 citations in OpenAlex.

  1. MMP12 induces fibrogenic macrophage differentiation to drive granuloma-associated cardiac fibrosis.American journal of respiratory and critical care medicine · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Lung Fibrosis after COVID-19: Treatment Prospects.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors at 4 institutions in 2 countries.

Eugene Makareva Atlas Regeneration, Inc. , Winston-Salem , NC , USA.
Evgeny Izumchenkoc Department of Otolaryngology-Head & Neck Surgery , Johns Hopkins University School of Medicine , Baltimore , MD , USA.
Fumiaki Aiharad Advanced Academic Programs, Johns Hopkins University , Baltimore , MD , USA.
Piotr T Wysockic Department of Otolaryngology-Head & Neck Surgery , Johns Hopkins University School of Medicine , Baltimore , MD , USA.
Qingsong Zhub Insilico Medicine, Inc., ETC, Johns Hopkins University , Baltimore , MD , USA.
Anton Buzdine The Biogerontology Research Foundation , London , UK.
David Sidranskyc Department of Otolaryngology-Head & Neck Surgery , Johns Hopkins University School of Medicine , Baltimore , MD , USA.
Alex Zhavoronkovb Insilico Medicine, Inc., ETC, Johns Hopkins University , Baltimore , MD , USA.
Anthony Atalaa Atlas Regeneration, Inc. , Winston-Salem , NC , USA.
Johns Hopkins University · USForest Institute · USJohns Hopkins Medicine · USUrology Foundation · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrosis, a progressive accumulation of extracellular matrix components, encompasses a wide spectrum of distinct organs, and accounts for an increasing burden of morbidity and mortality worldwide. Despite the tremendous clinical impact, the mechanisms governing the fibrotic process are not yet understood, and to date, no clinically reliable therapies for fibrosis have been discovered. Here we applied Regeneration Intelligence, a new bioinformatics software suite for qualitative analysis of intracellular signaling pathway activation using transcriptomic data, to assess a network of molecular signaling in lung and liver fibrosis. In both tissues, our analysis detected major conserved signaling pathways strongly associated with fibrosis, suggesting that some of the pathways identified by our algorithm but not yet wet-lab validated as fibrogenesis related, may be attractive targets for future research. While the majority of significantly disrupted pathways were specific to histologically distinct organs, several pathways have been concurrently activated or downregulated among the hepatic and pulmonary fibrosis samples, providing new evidence of evolutionary conserved pathways that may be relevant as possible therapeutic targets. While future confirmatory studies are warranted to validate these observations, our platform proposes a promising new approach for detecting fibrosis-promoting pathways and tailoring the right therapy to prevent fibrogenesis.

Indexed as

Gene Expression ProfilingHumansLiver CirrhosisPulmonary FibrosisSignal TransductionSoftwarealgorithmbioinformaticsIPFliver fibrosisPASpathway activationsignaling pathway signature

Identifiers

PMID27267766
PMCPMC4957589
OpenAlexW2409878425

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.