Evidence map›Paper›PMID 33936285›Full record

ArticleExperimental and therapeutic medicine2021

Thioredoxin relieves lipopolysaccharide-induced acute kidney injury in mice by reducing inflammation, oxidative stress and apoptosis.

Jingjing Wang, Wenjuan Zhang, Guoyuan Lu

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. The Role of Oxidative Stress in Kidney Injury.Antioxidants (Basel, Switzerland) · 2023
    Review
  4. 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 at 1 institution in 1 country.

Jingjing WangDepartment of Nephrology, Changzhou Fourth People's Hospital, Changzhou, Jiangsu 213000, P.R. China.
Wenjuan ZhangDepartment of Nephrology, Changzhou Fourth People's Hospital, Changzhou, Jiangsu 213000, P.R. China.
Guoyuan LuDepartment of Nephrology, First Affiliated Hospital of Suzhou University, Suzhou, Jiangsu 215000, P.R. China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a serious disease with rapid onset and a high mortality rate. It is therefore particularly important to identify a suitable method for treating AKI. Thioredoxin (Trx) is a potent anti-inflammatory and anti-oxidant protein that is prevalent in living organisms. The aim of the present study was to facilitate the clinical treatment of AKI via the study of Trx. Lipopolysaccharide (LPS) was used to construct an AKI model in mice and the mice were pre-treated with Trx to examine its effect on AKI. In addition, human renal tubular epithelial HK-2 cells were cultured and stimulated with Trx to examine its effect on inflammation, levels of oxidative stress and apoptosis in the HK-2 cells. The NF-κB signaling pathway is a classical inflammation-related pathway and the mechanism of Trx was investigated by evaluating the association between Trx and the NF-κB signaling pathway. Trx treatment reduced LPS-induced levels of inflammation, oxidative stress and apoptosis in the HK-2 cells. The activity of NF-κB signaling pathway was increased in LPS-induced HK-2 cells, while Trx treatment effectively reduced NF-κB signaling pathway activity. In addition, Trx treatment significantly reduced LPS-induced mouse AKI

Indexed as

acute kidney injuryapoptosisinflammationNF-κB signaling pathwayoxidative stressthioredoxin

Identifiers

PMID33936285
PMCPMC8082584
OpenAlexW3153449822

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.