Evidence map›Paper›PMID 28101741›Full record

ArticleCytotechnology2017

Anti-hyperuricemic effect of taxifolin in cultured hepatocytes and model mice.

Shin-Ichi Adachi, Ken-Ichi Nihei, Yoshiyuki Ishihara, Fumiaki Yoshizawa, Kazumi Yagasaki

Open access · bronzeAbstract read
In one paragraph

Article in Cytotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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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 2 institutions in 1 country.

Shin-Ichi AdachiCenter for Bioscience Research and Education, Utsunomiya University, Tochigi, 321-8505, Japan.
Ken-Ichi NiheiFaculty of Agriculture, Utsunomiya University, Tochigi, 321-8505, Japan.
Yoshiyuki IshiharaStrawberry Research Center, Tochigi Prefectural Agricultural Experiment Station, Tochigi, 328-0007, Japan.
Fumiaki YoshizawaFaculty of Agriculture, Utsunomiya University, Tochigi, 321-8505, Japan.
Kazumi YagasakiCenter for Bioscience Research and Education, Utsunomiya University, Tochigi, 321-8505, Japan. yagasaki@cc.tuat.ac.jp.ORCID http://orcid.org/0000-0002-9494-9887
Utsunomiya University · JPTochigi Prefectural Fisheries Experimental Station · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperuricemia is recognized as an important risk factor for gout. High dietary intake of purine-rich foods such as meats and sea foods increases uric acid (UA) levels in the blood. Taxifolin present in Siberian larch and strawberries has been reported to possess health promoting activities including anti-oxidant effect. In this study, we examined anti-hyperuricemic effect of taxifolin in both cultured hepatocytes and hyperuricemic model mice. In cultured AML12 hepatocytes, taxifolin significantly suppressed UA production dose- and time-dependently. In mice with hyperuricemia induced by concurrent administration of guanosine-5'-monophosphate and inosine-5'-monophosphate, oral administration of taxifolin suppressed the increases in plasma and liver UA levels. In addition, it also suppressed hepatic xanthine oxidase (XO) activity. Thus, anti-hyperuricemic effect of taxifolin could be explained, at least partly, by suppressing UA production via inhibition of XO activity in the liver. These results suggest that taxifolin possesses a potent hypouricemic effect and it could be a potential candidate for an anti-hyperuricemic phytochemical.

Indexed as

AML12 hepatocyteHyperuricemiaTaxifolinUric acid

Identifiers

PMID28101741
PMCPMC5366969
OpenAlexW2578178849

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.