Evidence map›Paper›PMID 39901448›Full record

ArticleRenal failure2025

IgG expressed by renal tubular epithelial cells in epithelial mesenchymal transformation and interstitial fibrosis in diabetic kidney disease.

Xinyao Wang, Zhenling Deng, Yue Wang

Abstract read
In one paragraph

Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

3 authors.

Xinyao WangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Zhenling DengDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Yue WangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have reported that immunoglobulin G (IgG) "deposited" in the basement membrane of renal tubules is associated with tubulointerstitial damage in patients with diabetic kidney disease (DKD). Our previous study found that renal tubular epithelial cells (RTECs) can express and secrete IgG (RTEC-IgG) which may be associated with fibrosis. The present study aimed to explore the role of RTEC-IgG in renal tubulointerstitial fibrosis (TIF) in DKD. The results showed that RTEC-IgG expression was up-regulated in the renal tubulointerstitium of DKD patients and was associated with worse kidney function, more severe anemia, and higher interstitial fibrosis and tubular atrophy (IFTA) scores, and positively correlated with tubular epithelial mesenchymal transition (EMT) and TIF. IgG expression was also enhanced in the renal tubulointerstitium of DKD mice, which was positively correlated with TIF. High glucose induced an over expression of IgG in human renal tubular epithelial cells, and knockdown of IgG with siRNA relieved the expression of α-smooth muscle actin (SMA), collagen IV, fibronectin, and transforming growth factor (TGF)-β1 under high glucose conditions. In conclusion, our study suggests that RTEC-IgG is involved in the development of DKD by promoting EMT and interstitial fibrosis via TGF-β1.

Indexed as

Diabetic NephropathiesEpithelial CellsEpithelial-Mesenchymal TransitionImmunoglobulin GKidney TubulesActinsAnimalsFemaleFibronectinsFibrosisHumansMaleMiceMiddle AgedTransforming Growth Factor beta1ActinsFibronectinsImmunoglobulin GTransforming Growth Factor beta1Diabetic kidney diseaseepithelial mesenchymal transitionimmunoglobulin Grenal tubular epithelial cellrenal tubulointerstitial fibrosis

Identifiers

PMID39901448
PMCPMC11795750

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.