Evidence map›Paper›PMID 25031721›Full record

ArticleInternational journal of clinical and experimental pathology2014

Effects of vitamin D on renal fibrosis in diabetic nephropathy model rats.

Yanyan Tian, Guodong Lv, Ye Yang, Yuanyuan Zhang, Rui Yu, Jia Zhu, Lati Xiao, Jun Zhu

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Diabetic Nephropathy: a Tangled Web to Unweave.Cardiovascular drugs and therapy · 2017
    Review
  10. Role of Vitamin D in Cardiovascular Diseases.Endocrinology and metabolism clinics of North America · 2017
    Review
  11. Article
  12. Article
  13. Effect of 1,25(OH)Biomedical reports · 2016
    Article
  14. Article
  15. Article
  16. Review
  17. 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

8 authors at 1 institution in 1 country.

Yanyan TianDepartment of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, Xinjiang, China.
Guodong LvInstitute of Research, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, Xinjiang, China.
Ye YangDepartment of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, Xinjiang, China.
Yuanyuan ZhangDepartment of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, Xinjiang, China.
Rui YuDepartment of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, Xinjiang, China.
Jia ZhuDepartment of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, Xinjiang, China.
Lati XiaoDepartment of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, Xinjiang, China.
Jun ZhuDepartment of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, Xinjiang, China.
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study is to investigate the effects of vitamin D on renal fibrosis in rat diabetic nephropathy models, as well as the changes and interactions in the expressions of renal fibrogenesis- and inflammation-related genes. Rat diabetic nephropathy models were established by high-fat diets, which were subjected to TGF-β1 manipulation, as well as vitamin D treatment. H&E staining, Masson staining, and TEM detection were performed to assess the effects of vitamin D treatment and/or TGF-β1 manipulation on pathological changes in the renal tissues in these rat diabetic nephropathy models. Immunohistology and real-time PCR were used to evaluate the expressions of TGF-β1, MCP-1, CTGF, and VDR. Histological staining and TEM detection showed that, in both TGF-β1 over-expressed and interfered groups, vitamin D administration alleviated the renal fibrosis, compared with the vehicle treatment. Similar results were observed with the immunohistological staining. Real-time PCR analysis indicated that, when TGF-β1 was over-expressed in diabetic nephropathy, the expressions of MCP-1 and CTGF were also up-regulated, which would be decreased by the treatment of vitamin D. On the other hand, when TGF-β1 was interfered in DN, the expressions of MCP-1 and CTGF were relatively down-regulated, which would be further lowered by vitamin D administration. The mRNA expression of VDR was elevated by vitamin D treatment in these diabetic nephropathy models. Active vitamin D3 and lentivirus-mediated TGF-β1 interference could effectively reduce the renal fibrosis and protect the renal function in diabetic nephropathy rat models, which makes a promising therapeutic strategy for the disease.

Indexed as

AnimalsChemokine CCL2Connective Tissue Growth FactorDiabetes Mellitus, ExperimentalDiabetic NephropathiesDisease Models, AnimalFibrosisImmunohistochemistryKidneyMaleMicroscopy, Electron, TransmissionRatsRats, Sprague-DawleyReal-Time Polymerase Chain ReactionReceptors, CalcitriolTransforming Growth Factor beta1Ccl2 protein, ratCCN2 protein, ratChemokine CCL2Connective Tissue Growth FactorReceptors, CalcitriolTransforming Growth Factor beta1Vitamin DCTGFDiabetic nephropathyMCP-1TGF-β1VDRvitamin D

Identifiers

PMID25031721
PMCPMC4097221
OpenAlexW2180788809

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.