Evidence map›Paper›PMID 31974606›Full record

ArticleMolecular medicine reports2020

Notch inhibitor mitigates renal ischemia‑reperfusion injury in diabetic rats.

Xiaokai Duan, Guijun Qin

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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 1 country.

Xiaokai DuanDepartment of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Guijun QinDepartment of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus can exacerbate renal ischemia‑reperfusion (I/R) injury (RI/RI) in diabetic rats. Previous studies have shown that Notch signaling is involved in renal disorders. The aim of the present study was to evaluate the protective effect of the Notch inhibitor γ‑secretase N‑[N‑(3,5‑difluorophenacetyl)‑L‑alanyl]‑S‑phenylglycine t‑butyl ester (DAPT) on RI/RI in a streptozocin (STZ)‑induced diabetic rat model. STZ‑induced diabetic rats were randomly grouped for different treatments. Cisplatin was used to trigger the Notch signaling pathway and the animals were preconditioned with DAPT to block the signaling pathway. Renal function, oxidative stress and inflammatory factors were examined. DAPT‑treated diabetic rats demonstrated mitigated renal injury and function, antioxidative activity was significantly improved and HIF‑1a was upregulated. Notch inhibitor DAPT is a potential therapeutic target to improve the outcome of RI/RI in STZ‑induced diabetic rats in part via the regulation of anti‑oxidation and HIF‑1a.

Indexed as

AnimalsBlood Urea NitrogenCisplatinCreatinineDiabetes Mellitus, ExperimentalDipeptidesDisease Models, AnimalHypoxia-Inducible Factor 1, alpha SubunitInflammation MediatorsKidneyMaleOxidation-ReductionRats, Sprague-DawleyReceptors, NotchReperfusion InjuryRNA, MessengerCisplatinCreatinineDipeptidesHif1a protein, ratHypoxia-Inducible Factor 1, alpha SubunitInflammation MediatorsN-(N-(3,5-difluorophenacetyl)alanyl)phenylglycine tert-butyl esterReceptors, NotchRNA, MessengerStreptozocindiabetes mellitusN‑[N‑(3,5‑difluorophenacetyl)‑L‑alanyl]‑S‑phenylglycine t‑butyl esternotchsecretase inhibitorstreptozocin model

Identifiers

PMID31974606
PMCPMC6947829
OpenAlexW2993892577

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.