Evidence map›Paper›PMID 29152144›Full record

ArticleOncotarget2017

Tissue-type plasminogen activator modulates macrophage M2 to M1 phenotypic change through annexin A2-mediated NF-κB pathway.

Ling Lin, Kebin Hu

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

29 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  5. Minimal Change Disease: Pathogenetic Insights from Glomerular Proteomics.International journal of molecular sciences · 2024
    Article
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  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Annexin A2 and Kidney Diseases.Frontiers in cell and developmental biology · 2022
    Review
  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

2 authors at 1 institution in 1 country.

Ling LinDepartment of Cellular and Molecular Physiology, Penn State University College of Medicine, Hershey, Pennsylvania, USA.
Kebin HuDepartment of Cellular and Molecular Physiology, Penn State University College of Medicine, Hershey, Pennsylvania, USA.
Pennsylvania State University · US

Funding

p90 Ribosomal S6 Kinase and Chronic Kidney DiseaseR01DK102624 · NIDDK · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI HU, KEBIN · 2014 to 2018
$1.5M
NIDDK NIH HHS R01 DK102624
6 · The paper itself

Abstract

Macrophage accumulation is one of the hallmarks of progressive kidney disease. In response to injury, macrophages undergo a phenotypic polarization to become two functionally distinct subsets: M1 and M2 macrophages. Macrophage polarization is a dynamic process, and recent work indicates that macrophages, in response to kidney injury, can shift their polarity. However, the underlying mechanisms remain largely unknown. Tissue-type plasminogen activator (tPA), a protease up-regulated in the chronically injured kidneys, has been shown to preferably promote M1 macrophage accumulation and renal inflammation. We hypothesized that tPA may be an endogenous factor that modulates macrophage M2 to M1 phenotypic change contributing to the accumulation of M1 macrophages in the injured kidneys. It was found that obstruction-induced renal M1 chemokine expression was alleviated in tPA knockout mice, and these knockout mice displayed increased M2 markers.

Indexed as

M1 macrophagesM2 macrophagespolarity shiftserine proteasetissue-type plasminogen activator

Identifiers

PMID29152144
PMCPMC5675696
OpenAlexW2762260996

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.