Evidence map›Paper›PMID 25436420›Full record

ArticleFEBS letters2015

The green tea polyphenol (-)-epigallocatechin gallate prevents the aggregation of tau protein into toxic oligomers at substoichiometric ratios.

Heike J Wobst, Apurwa Sharma, Marc I Diamond, Erich E Wanker, Jan Bieschke

Abstract read
In one paragraph

Article in FEBS letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

79 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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19 more citing papers are in PubMed but not listed here.

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.

Heike J WobstAstraZeneca-Tufts Lab for Basic and Translational Medicine, Boston, MA, USA(1); Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Apurwa SharmaDepartment of Neurology and Neurotherapeutics, University of Texas, Southwestern Medical Center, USA.
Marc I DiamondDepartment of Neurology and Neurotherapeutics, University of Texas, Southwestern Medical Center, USA.
Erich E WankerMax Delbrück Center for Molecular Medicine, Berlin, Germany. Electronic address: ewanker@mdc-berlin.de.
Jan BieschkeMax Delbrück Center for Molecular Medicine, Berlin, Germany; Washington University in St. Louis, Saint Louis, MO, USA. Electronic address: bieschke@wustl.edu.

Funding

CELL-CELL TRANSFER AND PROPAGATION OF TAU AGGREGATESR01NS071835 · NINDS · WASHINGTON UNIVERSITY · PI DIAMOND, MARC I · 2010 to 2014
$1.6M
NINDS NIH HHS 1R01NS071835NINDS NIH HHS R01 NS071835
6 · The paper itself

Abstract

The accumulation of amyloid-beta (Aβ) and tau aggregates is a pathological hallmark of Alzheimer's disease. Both polypeptides form fibrillar deposits, but several lines of evidence indicate that Aβ and tau form toxic oligomeric aggregation intermediates. Depleting such structures could thus be a powerful therapeutic strategy. We generated a fragment of tau (His-K18ΔK280) that forms stable, toxic, oligomeric tau aggregates in vitro. We show that (-)-epigallocatechin gallate (EGCG), a green tea polyphenol that was previously found to reduce Aβ aggregation, inhibits the aggregation of tau K18ΔK280 into toxic oligomers at ten- to hundred-fold substoichiometric concentrations, thereby rescuing toxicity in neuronal model cells.

Indexed as

AnimalsCatechinHumansPC12 CellsProtein Aggregation, PathologicalRatstau ProteinsTeaCatechinepigallocatechin gallateMAPT protein, humanMapt protein, rattau ProteinsTeaAggregation inhibitorsAlzheimer‘s disease(−)-Epigallocatechin gallatePolyphenolTau oligomersTau protein

Identifiers

PMID25436420
PMCPMC4565179

What OpenQuestion holds

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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.