Evidence map›Paper›PMID 35807846›Full record

ArticleNutrients2022

Tea (

Dan Wu, Ruohong Chen, Qiuhua Li, Xingfei Lai, Lingli Sun, Zhenbiao Zhang, Shuai Wen, Shili Sun, Fanrong Cao

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  15. Postbiotic ofFoods (Basel, Switzerland) · 2024
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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 3 institutions in 1 country.

Dan WuCollege of Horticulture, South China Agricultural University, Guangzhou 510640, China.
Ruohong ChenTea Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Tea Plant Resources Innovation & Utilization, Guangzhou 510640, China.
Qiuhua LiTea Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Tea Plant Resources Innovation & Utilization, Guangzhou 510640, China.
Xingfei LaiTea Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Tea Plant Resources Innovation & Utilization, Guangzhou 510640, China.
Lingli SunTea Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Tea Plant Resources Innovation & Utilization, Guangzhou 510640, China.
Zhenbiao ZhangTea Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Tea Plant Resources Innovation & Utilization, Guangzhou 510640, China.
Shuai WenTea Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Tea Plant Resources Innovation & Utilization, Guangzhou 510640, China.
Shili SunTea Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Tea Plant Resources Innovation & Utilization, Guangzhou 510640, China.
Fanrong CaoCollege of Horticulture, South China Agricultural University, Guangzhou 510640, China.
Tea Research Institute · CNGuangdong Academy of Agricultural Sciences · CNSouth China Agricultural University · CN

Funding

"14th Five-Year Plan" team-building projects of Guangdong Academy of Agricultural Sciences 202126TDGuangdong Basic and Applied Basic Research Foundation 2020A1515011266, 2021A1515010958Guangzhou Science and Technology Plan Projects 202102020047, 202002030202Innovation Fund projects of Guangdong Academy of Agricultural Sciences 202115, 202035Key-Area Research and Development Program of Guangdong Province 2020B0202080003Special fund for scientific innovation strategy-construction of high level Academy of Agriculture Science R2019PY-JX004the Innovation Fund projects of Guangdong Key Laboratory of Tea Plant Resources Innovation and Utilization 2021CX02
6 · The paper itself

Abstract

Hyperuricemia (HUA) is a metabolic disease that threatens human health. Tea is a healthy beverage with an abundance of benefits. This study revealed the uric acid-lowering efficacy of six types of tea water extracts (TWEs) on HUA in mice. The results revealed that under the intervention of TWEs, the expression of XDH, a key enzyme that produces uric acid, was significantly downregulated in the liver. TWE treatment significantly upregulated the expression of uric acid secretion transporters ABCG2, OAT1, and OAT3, and downregulated the expression of uric acid reabsorption transporter URAT1 in the kidney. Furthermore, HUA-induced oxidative stress could be alleviated by upregulating the Nrf2/HO-1 pathway. The intervention of TWEs also significantly upregulated the expression of the intestinal ABCG2 protein. On the other hand, TWE intervention could significantly upregulate the expression of intestinal ABCG2 and alleviate HUA by modulating the gut microbiota. Taken together, tea can comprehensively regulate uric acid metabolism in HUA mice. Interestingly, we found that the degree of fermentation of tea was negatively correlated with the uric acid-lowering effect. The current study indicated that tea consumption may have a mitigating effect on the HUA population and provided a basis for further research on the efficacy of tea on the dosage and mechanism of uric acid-lowering effects in humans.

Indexed as

Camellia sinensisGastrointestinal MicrobiomeHyperuricemiaAnimalsMetabolic Networks and PathwaysMiceTeaUric AcidTeaUric AcidCamellia sinensisgut microbiotahyperuricemiaoxidative stresssix types of teauric acid metabolism disorder

Identifiers

PMID35807846
PMCPMC9268162
OpenAlexW4283646394

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.