Evidence map›Paper›PMID 28430592›Full record

ArticleOncotarget2017

Resveratrol protects against early polymicrobial sepsis-induced acute kidney injury through inhibiting endoplasmic reticulum stress-activated NF-κB pathway.

Nian Wang, Li Mao, Liu Yang, Jiang Zou, Ke Liu, Meidong Liu, Huali Zhang, Xianzhong Xiao, Kangkai Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

49 citing papers in PubMed, 71 citations in OpenAlex.

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  13. Renoprotective effect ofIranian journal of basic medical sciences · 2024
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  18. Structural and Functional Changes in Aging Kidneys.International journal of molecular sciences · 2022
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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

9 authors at 1 institution in 1 country.

Nian WangDepartment of Pathophysiology, Xiangya School of Medicine, Translational Medicine Center of Sepsis, Central South University, Changsha, 410078, Hunan, China.
Li MaoDepartment of Pathophysiology, Xiangya School of Medicine, Translational Medicine Center of Sepsis, Central South University, Changsha, 410078, Hunan, China.
Liu YangDepartment of Pathophysiology, Xiangya School of Medicine, Translational Medicine Center of Sepsis, Central South University, Changsha, 410078, Hunan, China.
Jiang ZouDepartment of Pathophysiology, Xiangya School of Medicine, Translational Medicine Center of Sepsis, Central South University, Changsha, 410078, Hunan, China.
Ke LiuDepartment of Pathophysiology, Xiangya School of Medicine, Translational Medicine Center of Sepsis, Central South University, Changsha, 410078, Hunan, China.
Meidong LiuDepartment of Pathophysiology, Xiangya School of Medicine, Translational Medicine Center of Sepsis, Central South University, Changsha, 410078, Hunan, China.
Huali ZhangDepartment of Pathophysiology, Xiangya School of Medicine, Translational Medicine Center of Sepsis, Central South University, Changsha, 410078, Hunan, China.
Xianzhong XiaoDepartment of Pathophysiology, Xiangya School of Medicine, Translational Medicine Center of Sepsis, Central South University, Changsha, 410078, Hunan, China.
Kangkai WangDepartment of Pathophysiology, Xiangya School of Medicine, Translational Medicine Center of Sepsis, Central South University, Changsha, 410078, Hunan, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resveratrol, a polyphenol compound derived from various edible plants, protects against sepsis-induced acute kidney injury (AKI) via its anti-inflammatory activity, but the underlying mechanisms remain largely unknown. In this study, a rat model of sepsis was established by cecal ligation and puncture (CLP), 30 mg/kg resveratrol was intraperitoneally administrated immediately after the CLP operation. HK-2 cells treated by 1 μg/ml lipopolysaccharide, 0.2 μM tunicamycin, 2.5 mM irestatin 9389 and 20 μM resveratrol were used for in vitro study. The results demonstrated that resveratrol significantly improved the renal function and tubular epithelial cell injury and enhanced the survival rate of CLP-induced rat model of sepsis, which was accompanied by a substantial decrease of the serum content and renal mRNA expressions of TNF-α, IL-1β and IL-6. In addition, resveratrol obviously relieved the endoplasmic reticulum stress, inhibited the phosphorylation of inositol-requiring enzyme 1(IRE1) and nuclear factor-κB (NF-κB) in the kidney. In vitro studies showed that resveratrol enhanced the cell viability, reduced the phosphorylation of NF-κB and production of inflammatory factors in lipopolysaccharide and tunicamycin-induced HK-2 cells through inhibiting IRE1 activation. Taken together, administration of resveratrol as soon as possible after the onset of sepsis could protect against septic AKI mainly through inhibiting IRE1-NF-κB pathway-triggered inflammatory response in the kidney. Resveratrol might be a readily translatable option to improve the prognosis of sepsis.

Indexed as

Acute Kidney InjuryAnimalsAnti-Inflammatory AgentsBiomarkersCell LineCytokinesDisease Models, AnimalEndoplasmic Reticulum StressHumansInflammation MediatorsKidney Function TestsLipopolysaccharidesMaleMembrane ProteinsNF-kappa BProtein Serine-Threonine KinasesAnti-Inflammatory AgentsBiomarkersCytokinesErn2 protein, mouseInflammation MediatorsLipopolysaccharidesMembrane ProteinsNF-kappa BProtein Serine-Threonine KinasesResveratrolStilbenesacute kidney injuryendoplasmic reticulum stressinositol-requiring enzyme 1nuclear factor-κBsepsis

Identifiers

PMID28430592
PMCPMC5482667
OpenAlexW2605138775

What OpenQuestion holds

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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.