Evidence map›Paper›PMID 35873795›Full record

ArticleOxidative medicine and cellular longevity2022

Inhibition of Xanthine Oxidase Protects against Sepsis-Induced Acute Kidney Injury by Ameliorating Renal Hypoxia.

Ting-Ting Wang, Yi-Wei Du, Wen Wang, Xiang-Nan Li, Hong-Bao Liu

Open access · hybridAbstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

6 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

5 authors at 1 institution in 1 country.

Ting-Ting WangDepartment of Nephrology, Tangdu Hospital, Air Force Military Medical University (Fourth Military Medical University), Xi'an 710038, China.ORCID https://orcid.org/0000-0002-0269-1584
Yi-Wei DuDepartment of Nephrology, Tangdu Hospital, Air Force Military Medical University (Fourth Military Medical University), Xi'an 710038, China.
Wen WangDepartment of Nephrology, Tangdu Hospital, Air Force Military Medical University (Fourth Military Medical University), Xi'an 710038, China.
Xiang-Nan LiDepartment of Nephrology, Tangdu Hospital, Air Force Military Medical University (Fourth Military Medical University), Xi'an 710038, China.
Hong-Bao LiuDepartment of Nephrology, Tangdu Hospital, Air Force Military Medical University (Fourth Military Medical University), Xi'an 710038, China.ORCID https://orcid.org/0000-0002-1283-4956
Tang Du Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Xanthine oxidase (XO) utilizes molecular oxygen as a substrate to convert purine substrates into uric acid, superoxide, and hydrogen peroxide, which is one of the main enzyme pathways to produce reactive oxygen species (ROS) during septic inflammation and oxidative stress. However, it is not clear whether XO inhibition can improve sepsis-induced renal hypoxia in sepsis-induced acute kidney injury (SI-AKI) mice. In this study, pretreatment with febuxostat, an XO-specific inhibitor, or kidney knockdown of XO by shRNA in vivo significantly improved the prognosis of SI-AKI, not only by reducing the levels of blood urea nitrogen, serum creatinine, tumor necrosis factor-

Indexed as

Acute Kidney InjurySepsisAnimalsFebuxostatHypoxiaInflammationIschemiaKidneyLipopolysaccharidesMiceOxygenReactive Oxygen SpeciesRNA, Small InterferingXanthine OxidaseFebuxostatLipopolysaccharidesOxygenReactive Oxygen SpeciesRNA, Small InterferingXanthine Oxidase

Identifiers

PMID35873795
PMCPMC9307393
OpenAlexW4285594395

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.