Evidence map›Paper›PMID 35406003›Full record

ArticleNutrients2022

The Prevention Role of Theaflavin-3,3'-digallate in Angiotensin II Induced Pathological Cardiac Hypertrophy via CaN-NFAT Signal Pathway.

Hui Zhou, Chen Xia, Yaqing Yang, Hasitha Kalhari Warusawitharana, Xiaohui Liu, Youying Tu

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 20 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

6 authors at 2 institutions in 1 country.

Hui ZhouDepartment of Tea Science, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-0820-9437
Chen XiaDepartment of Tea Science, Zhejiang University, Hangzhou 310058, China.
Yaqing YangDepartment of Tea Science, Zhejiang University, Hangzhou 310058, China.
Hasitha Kalhari WarusawitharanaDepartment of Tea Science, Zhejiang University, Hangzhou 310058, China.
Xiaohui LiuCollege of Tea Science, Yunnan Agricultural University, Kunming 650201, China.
Youying TuDepartment of Tea Science, Zhejiang University, Hangzhou 310058, China.
Zhejiang University · CNYunnan Agricultural University · CN

Funding

Chinese Oolong Tea Industry Innovation Center project J201575the Platform Construction Project of Chinese White Tea Science and Technology Correspondent, China 2020L3031the Science and Technology Innovation Platform Project of Fujian Provincial Department of Science and Technology, China 2018N2004
6 · The paper itself

Abstract

Theaflavin-3,3'-digallate (TF3) is a representative theaflavin of black tea and is remarkable for the anti-coronary heart disease effect. As an adaptive response to heart failure, pathological cardiac hypertrophy (PCH) has attracted great interest. In this study, the PCH cell model was established with H9c2 cells by angiotensin II, and the prevention effect and mechanisms of TF3 were investigated. The results showed that the cell size and fetal gene mRNA level were significantly reduced as pretreated with TF3 at the concentration range of 1-10 μM, also the balance of the redox system was recovered by TF3 at the concentration of 10 μM. The intracellular Ca

Indexed as

BiflavonoidsCatechinHeart FailureAngiotensin IIAntioxidantsCalcineurinCardiomegalyHumansMyocytes, CardiacSignal TransductionAngiotensin IIAntioxidantsBiflavonoidsCalcineurinCatechintheaflavintheaflavin-3,3'-digallatecalcineurincalcium ionnuclear factor of activated T cellsoxidative stresspathological cardiac hypertrophytheaflavin-3,3′-digallate

Identifiers

PMID35406003
PMCPMC9003418
OpenAlexW4220919592

What OpenQuestion holds

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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.