Evidence map›Paper›PMID 37511420›Full record

ArticleInternational journal of molecular sciences2023

Anti-Fibrotic and Anti-Inflammatory Role of NO-Sensitive Guanylyl Cyclase in Murine Lung.

Nils Englert, Philipp Burkard, Annemarie Aue, Andreas Rosenwald, Bernhard Nieswandt, Andreas Friebe

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. The αInternational journal of molecular sciences · 2024
    Article
  4. Review
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

6 authors at 1 institution in 1 country.

Nils EnglertPhysiologisches Institut, Julius-Maximilians-Universität Würzburg, 97070 Würzburg, Germany.
Philipp BurkardInstitute of Experimental Biomedicine, Chair of Experimental Biomedicine I, University Hospital Würzburg, 97080 Würzburg, Germany.ORCID 0000-0001-9748-7967
Annemarie AuePhysiologisches Institut, Julius-Maximilians-Universität Würzburg, 97070 Würzburg, Germany.
Andreas RosenwaldInstitut für Pathologie, Julius-Maximilians-Universität Würzburg, 97080 Würzburg, Germany.
Bernhard NieswandtInstitute of Experimental Biomedicine, Chair of Experimental Biomedicine I, University Hospital Würzburg, 97080 Würzburg, Germany.
Andreas FriebePhysiologisches Institut, Julius-Maximilians-Universität Würzburg, 97070 Würzburg, Germany.ORCID 0000-0001-8178-3948
University of Würzburg · DE

Funding

Deutsche Forschungsgemeinschaft FR 1725/3-2Deutsche Forschungsgemeinschaft SFB 1525 project 453989101
6 · The paper itself

Abstract

Pulmonary fibrosis is a chronic and progressive disease with limited therapeutic options. Nitric oxide (NO) is suggested to reduce the progression of pulmonary fibrosis via NO-sensitive guanylyl cyclase (NO-GC). The exact effects of NO-GC during pulmonary fibrosis are still elusive. Here, we used a NO-GC knockout mouse (GCKO) and examined fibrosis and inflammation after bleomycin treatment. Compared to wildtype (WT), GCKO mice showed an increased fibrotic reaction, as myofibroblast occurrence (

Indexed as

Pulmonary FibrosisAnimalsAnti-Inflammatory AgentsBleomycinBronchoalveolar Lavage FluidLungMiceMice, Inbred C57BLMice, KnockoutSoluble Guanylyl CyclaseTransforming Growth Factor betaAnti-Inflammatory AgentsBleomycinSoluble Guanylyl CyclaseTransforming Growth Factor betafibrosisguanylyl cyclaseinflammationlungTGFβ

Identifiers

PMID37511420
PMCPMC10380760
OpenAlexW4384821487

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.