Evidence map›Paper›PMID 32707836›Full record

ArticleInternational journal of molecular sciences2020

The Time-Feature of Uric Acid Excretion in Hyperuricemia Mice Induced by Potassium Oxonate and Adenine.

Shaoshi Wen, Dan Wang, Haiyang Yu, Mengyang Liu, Qian Chen, Ruixia Bao, Lin Liu, Yi Zhang, Tao Wang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 54 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

9 authors at 1 institution in 1 country.

Shaoshi WenTianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.
Dan WangKey Laboratory of Pharmacology of Traditional Chinese Medical Formulae (Tianjin University of Traditional Chinese Medicine), Ministry of Education, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.
Haiyang YuKey Laboratory of Pharmacology of Traditional Chinese Medical Formulae (Tianjin University of Traditional Chinese Medicine), Ministry of Education, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.
Mengyang LiuTianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.
Qian ChenInstitute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.
Ruixia BaoInstitute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.
Lin LiuTianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.
Yi ZhangTianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.
Tao WangInstitute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.
Tianjin University of Traditional Chinese Medicine · CN

Funding

Important Drug Development Fund, Ministry of Science and Technology of China 2018ZX09735-002National Natural Science Foundation of China 81173524National Natural Science Foundation of China 81673688The Scientific Research Project of Tianjin Municipal Education Commission 2019KJ085
6 · The paper itself

Abstract

Hyperuricemia is an important risk factor of chronic kidney disease, metabolic syndrome and cardiovascular disease. We aimed to assess the time-feature relationship of hyperuricemia mouse model on uric acid excretion and renal function. A hyperuricemia mouse model was established by potassium oxonate (PO) and adenine for 21 days. Ultra Performance Liquid Chromatography was used to determine plasma uric acid level. Hematoxylin-eosin staining was applied to observe kidney pathological changes, and Western blot was used to detect renal urate transporters' expression. In hyperuricemia mice, plasma uric acid level increased significantly from the 3rd day, and tended to be stable from the 7th day, and the clearance rate of uric acid decreased greatly from the 3rd day. Further study found that the renal organ of hyperuricemia mice showed slight damage from the 3rd day, and significantly deteriorated renal function from the 10th day. In addition, the expression levels of GLUT9 and URAT1 were upregulated from the 3rd day, while ABCG2 and OAT1 were downregulated from the 3rd day, and NPT1 were downregulated from the 7th day in hyperuricemia mice kidney. This paper presents a method suitable for experimental hyperuricemia mouse model, and shows the time-feature of each index in a hyperuricemia mice model.

Indexed as

Disease Models, AnimalAdenineAnimalsATP Binding Cassette Transporter, Subfamily G, Member 2Chromatography, High Pressure LiquidCreatinineGlucose Transport Proteins, FacilitativeHyperuricemiaKidneyMiceOrganic Anion TransportersOrganic Anion Transport Protein 1Oxonic AcidSodium-Phosphate Cotransporter Proteins, Type ITime FactorsUric AcidAbcg2 protein, mouseAdenineATP Binding Cassette Transporter, Subfamily G, Member 2CreatinineGlucose Transport Proteins, FacilitativeOrganic Anion TransportersOrganic Anion Transport Protein 1Oxonic Acidpotassium oxonateSlc17a1 protein, mouseSlc22a12 protein, mouseSlc22a6 protein, mouseSlc2a9 protein, mouseSodium-Phosphate Cotransporter Proteins, Type Iurate transporterUric Acidhyperuricemiamouse modelrenal injuryurate transporteruric acid excretion

Identifiers

PMID32707836
PMCPMC7432283
OpenAlexW3044734603

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.