Evidence map›Paper›PMID 35372878›Full record

ReviewKidney3602020

mTOR Signaling in Kidney Diseases.

Yuan Gui, Chunsun Dai

Open access · diamondAbstract readReview
In one paragraph

Review in Kidney360, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Sexual Dimorphism in Renal Progenitors: Do Immunosuppressants Erase the Female Advantage?Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Telomere Dysfunction in Renal Tubular Epithelial Cells Leads to Kidney Fibrosis.Journal of the American Society of Nephrology : JASN · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  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 2 institutions in 2 countries.

Yuan GuiDepartment of Nephrology, University of Connecticut Health Center, Farmington, Connecticut.
Chunsun DaiCenter for Kidney Disease, 2nd Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Nanjing Medical University · CNUConn Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mammalian target of rapamycin (mTOR), a serine/threonine protein kinase, is crucial in regulating cell growth, metabolism, proliferation, and survival. Under physiologic conditions, mTOR signaling maintains podocyte and tubular cell homeostasis. In AKI, activation of mTOR signaling in tubular cells and interstitial fibroblasts promotes renal regeneration and repair. However, constitutive activation of mTOR signaling in kidneys results in the initiation and progression of glomerular hypertrophy, interstitial fibrosis, polycystic kidney disease, and renal cell carcinoma. Here, we summarize the recent studies about mTOR signaling in renal physiology and injury, and discuss the possibility of its use as a therapeutic target for kidney diseases.

Indexed as

Kidney NeoplasmsPolycystic Kidney DiseasesHumansKidneySignal TransductionTOR Serine-Threonine KinasesMTOR protein, humanTOR Serine-Threonine Kinasesacute kidney injuryacute kidney injury and ICU nephrologyglomerular hypertrophykidney fibrosismTORpolycystic kidney diseaserenal cell carcinomaTOR serine-threonine kinases

Identifiers

PMID35372878
PMCPMC8815517
OpenAlexW3082422748

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.