Evidence map›Paper›PMID 18991026›Full record

ArticleEndocrine2009

Ablation of NF-kappaB expression by small interference RNA prevents the dysfunction of human umbilical vein endothelial cells induced by high glucose.

Gang Chen, Xiaoyan Shen, Jin Yao, Feng Chen, Xu Lin, Yufang Qiao, Tingting You, Fenghui Lin, Xiaowen Fang, Xin Zou and 1 more

Abstract read
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In one paragraph

Article in Endocrine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 14 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

11 authors at 2 institutions in 1 country.

Gang ChenDepartment of Endocrinology, Fujian Medical University, Fujian, China. chengang18@yahoo.com
Xiaoyan Shen
Jin Yao
Feng Chen
Xu Lin
Yufang Qiao
Tingting You
Fenghui Lin
Xiaowen Fang
Xin Zou
Lixiang Lin
Fujian Provincial Hospital · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a major independent risk factor for cardiovascular disease and stroke. High glucose (HG) reduces endothelial cell (EC) proliferation with a concomitant increase in apoptosis. HG also induces the translocation of nuclear factor (NF)-kappaB in human umbilical vein endothelial cells (HUVECs). However, data regarding the relationship between NF-kappaB signaling and HG-induced endothelial dysfunction are limited. In the present study, we constructed an NF-kappaB-targeting RNA interference (RNAi) adenovirus vector and cultured HUVECs in 5.5, 20.5, or 30.5 mM D: -glucose or in daily alternating 5.5 or 30.5 mM D: -glucose. We assessed the effects of the NF-kappaB pathway on proliferation under HG conditions by measuring bromodeoxyuridine incorporation and conducting methyl thiazolyltetrazolium assays. We also tested apoptosis by performing flow cytometry and terminal deoxynucleotidyl transferase nick-end labeling assay. The RNAi adenovirus effectively downregulated expression of the p65 protein in HUVECs for more than 6 days. Blockage of the NF-kappaB pathway with the RNAi adenovirus substantially protected HUVECs from decreased proliferation and reduced cellular apoptosis in HG conditions. These findings may explain how hyperglycemia promotes dysfunction of ECs and could elucidate a potential new target for therapeutic interventions.

Indexed as

AdenoviridaeApoptosisCell ProliferationCells, CulturedCloning, MolecularEndothelial CellsGene Knockdown TechniquesGlucoseHumansNF-kappa BProtein TransportRNA, Small InterferingUmbilical VeinsGlucoseNF-kappa BRNA, Small Interfering

Identifiers

PMID18991026
OpenAlexW1983446204

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.