Evidence map›Paper›PMID 28615246›Full record

ReviewAmerican journal of physiology. Renal physiology2017

Src family kinases in chronic kidney disease.

Jun Wang, Shougang Zhuang

Open access · bronzeAbstract readReview
In one paragraph

Review in American journal of physiology. Renal physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

49 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
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  10. Classifying protein kinase conformations with machine learning.Protein science : a publication of the Protein Society · 2024
    Article
  11. Review
  12. Article
  13. Article
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  17. Role of Fyn in hematological malignancies.Journal of cancer research and clinical oncology · 2023
    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 2 countries.

Jun WangDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China; and.
Shougang ZhuangDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China; and szhuang@lifespan.org.
Shanghai East Hospital · CN

Funding

Histone deacetylases as novel therapeutic targets for kidney fibrosisR01DK085065 · NIDDK · RHODE ISLAND HOSPITAL · PI ZHUANG, SHOUGANG · 2010 to 2017
$2.8M
NIDDK NIH HHS R01 DK085065
6 · The paper itself

Abstract

Src family kinases (SFKs) belong to nonreceptor protein tyrosine kinases and have been implicated in the regulation of numerous cellular processes, including cell proliferation, differentiation, migration and invasion, and angiogenesis. The role and mechanisms of SFKs in tumorgenesis have been extensively investigated, and some SFK inhibitors are currently under clinical trials for tumor treatment. Recent studies have also demonstrated the importance of SFKs in regulating the development of various fibrosis-related chronic diseases (e.g., idiopathic pulmonary fibrosis, liver fibrosis, renal fibrosis, and systemic sclerosis). In this article, we summarize the roles of SFKs in various chronic kidney diseases, including glomerulonephritis, diabetic nephropathy, human immunodeficiency virus-associated nephropathy, autosomal dominant form of polycystic kidney disease, and obesity-associated kidney disease, and discuss the mechanisms involved.

Indexed as

Signal TransductionAnimalsFibrosisHumansKidneyPrognosisRenal Insufficiency, Chronicsrc-Family Kinasessrc-Family Kinasesdiabetic nephropathyfibrosisglomerulonephritishuman immunodeficiency virus-associated nephropathynonreceptor protein tyrosine kinases

Identifiers

PMID28615246
PMCPMC5625110
OpenAlexW2625001702

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.