Evidence map›Paper›PMID 36639674›Full record

ArticleCell communication and signaling : CCS2023

Proximal tubule-derived exosomes contribute to mesangial cell injury in diabetic nephropathy via miR-92a-1-5p transfer.

Yi-Chun Tsai, Mei-Chuan Kuo, Wei-Wen Hung, Ping-Hsun Wu, Wei-An Chang, Ling-Yu Wu, Su-Chu Lee, Ya-Ling Hsu

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Cell communication and signaling : CCS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. The role of extracellular vesicles in kidney disease progression.Kidney research and clinical practice · 2026
    Article
  10. Review
  11. Article
  12. Article
  13. Exosomes applications in kidney diseases.Molecular biology reports · 2025
    Review
  14. Article
  15. Review
  16. mSphere · 2025
    Article
  17. Article
  18. Review
  19. Review
  20. Urinary exosomes as promising biomarkers for early kidney disease detection.American journal of clinical and experimental urology · 2025
    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

8 authors at 2 institutions in 1 country.

Yi-Chun TsaiSchool of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Mei-Chuan KuoDivision of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Wei-Wen HungDivision of Endocrinology and Metabolism, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Ping-Hsun WuSchool of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Wei-An ChangDivision of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Ling-Yu WuGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Su-Chu LeeDivision of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Ya-Ling HsuDrug Development and Value Creation Research Center, Kaohsiung Medical University, Kaohsiung, 807, Taiwan. yainghsu@kmu.edu.tw.
Kaohsiung Medical University · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic nephropathy (DN) is an increasing threat to human health and regarded to be the leading cause of end-stage renal disease worldwide. Exosomes delivery may play a key role in cross-talk among kidney cells and the progression of DN. However, the mechanisms underlying exosomes in DN remain unclear.

methodsThe cross-disciplinary study, including in vivo, in vitro, and human studies was conducted to explore the cross-talk between proximal tubular epithelial cells (PTECs) and mesangial cells (MCs) in DN. We purified exosome from PTECs treated with high glucose and db/db mice and assessed their influences in the pathologic change of MCs and downstream signal pathway. Healthy individuals and type 2 diabetic patients were enrolled to examine the role of exosomes in clinical applications.

resultsHigh glucose stimulated PTECs to secrete exosomal miR-92a-1-5p, which was taken-up by glomerular MCs, inducing myofibroblast transdifferentiation (MFT) in vitro and in vivo. PTEC-released exosomal 92a-1-5p decreased reticulocalbin-3 expression, leading to endoplasmic reticulum (ER) stress by downregulating genes essential for ER homeostasis including calreticulin and mesencephalic astrocyte-derived neurotrophic factor. Treatment with miR-92a-1-5p inhibitor ameliorated kidney damage in db/db mice with DN. Urinary miR-92a-1-5p could predict kidney injury in type 2 diabetic patients.

conclusionsPTEC-derived exosomal miR-92a-1-5p modulated the kidney microenvironment in vivo and in vitro models, which altered ER stress and MFT in MCs resulting in DN progression. Further blocking miR-92a-1-5p epigenetic regulatory network could be a potential therapeutic strategy to prevent the progression of DN. Video Abstract.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesExosomesMicroRNAsAnimalsGlucoseHumansMesangial CellsMiceGlucoseMicroRNAsMIRN92 microRNA, humanDiabetic nephropathyER stressExosomeMesangial cellmiR-92a-1-5pMyofibroblast transdifferentiationProximal tubular epithelial cell

Identifiers

PMID36639674
PMCPMC9838003
OpenAlexW4315866278

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.