Evidence map›Paper›PMID 33666306›Full record

ArticleChemistry (Weinheim an der Bergstrasse, Germany)2021

Azobioisosteres of Curcumin with Pronounced Activity against Amyloid Aggregation, Intracellular Oxidative Stress, and Neuroinflammation.

Julian Hofmann, Tiziana Ginex, Alba Espargaró, Matthias Scheiner, Sandra Gunesch, Marc Aragó, Christian Stigloher, Raimon Sabaté, F Javier Luque, Michael Decker

Open access · hybridAbstract read
In one paragraph

Article in Chemistry (Weinheim an der Bergstrasse, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

10 authors at 3 institutions in 2 countries.

Julian HofmannPharmaceutical and Medicinal Chemistry, Institute of, Pharmacy and Food Chemistry, University of Würzburg, Am Hubland, 97074, Würzburg, Germany.
Tiziana GinexDepartment of Nutrition Food Science and Gastronomy, Faculty of Pharmacy, Institute of Theoretical and Computational, Chemistry and Institute of Biomedicine, Campus Torribera, University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.
Alba EspargaróPharmacy and Pharmaceutical Technology and Physical-Chemistry, School of Pharmacy Institute of Nanoscience and Nanotechnology, (IN2UB), University of Barcelona, 08028, Barcelona, Spain.
Matthias ScheinerPharmaceutical and Medicinal Chemistry, Institute of, Pharmacy and Food Chemistry, University of Würzburg, Am Hubland, 97074, Würzburg, Germany.
Sandra GuneschPharmaceutical and Medicinal Chemistry, Institute of, Pharmacy and Food Chemistry, University of Würzburg, Am Hubland, 97074, Würzburg, Germany.
Marc AragóDepartment of Nutrition Food Science and Gastronomy, Faculty of Pharmacy, Institute of Theoretical and Computational, Chemistry and Institute of Biomedicine, Campus Torribera, University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.
Christian StigloherImaging Core Facility, Biocenter/Theodor-Boveri-Institute, University of Würzburg, Am Hubland, 97074, Würzburg, Germany.
Raimon SabatéPharmacy and Pharmaceutical Technology and Physical-Chemistry, School of Pharmacy Institute of Nanoscience and Nanotechnology, (IN2UB), University of Barcelona, 08028, Barcelona, Spain.
F Javier LuqueDepartment of Nutrition Food Science and Gastronomy, Faculty of Pharmacy, Institute of Theoretical and Computational, Chemistry and Institute of Biomedicine, Campus Torribera, University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.
Michael DeckerPharmaceutical and Medicinal Chemistry, Institute of, Pharmacy and Food Chemistry, University of Würzburg, Am Hubland, 97074, Würzburg, Germany.ORCID http://orcid.org/0000-0002-6773-6245
University of Würzburg · DEUniversitat de Barcelona · ESInstitut de Nanociència i Nanotecnologia de la Universitat de Barcelona

Funding

European Cooperation in Science and Technology MuTaLigGeneralitat de Catalunya 2017SGR1746; 2019LLAV00016German Excellence Initiative Graduate School of Life Sciences, University of WürzburgSpanish Ministerio de Economía y Competitividad MDM2017-0767; AEI/FEDER UE
6 · The paper itself

Abstract

Many (poly-)phenolic natural products, for example, curcumin and taxifolin, have been studied for their activity against specific hallmarks of neurodegeneration, such as amyloid-β 42 (Aβ42) aggregation and neuroinflammation. Due to their drawbacks, arising from poor pharmacokinetics, rapid metabolism, and even instability in aqueous medium, the biological activity of azobenzene compounds carrying a pharmacophoric catechol group, which have been designed as bioisoteres of curcumin has been examined. Molecular simulations reveal the ability of these compounds to form a hydrophobic cluster with Aβ42, which adopts different folds, affecting the propensity to populate fibril-like conformations. Furthermore, the curcumin bioisosteres exceeded the parent compound in activity against Aβ42 aggregation inhibition, glutamate-induced intracellular oxidative stress in HT22 cells, and neuroinflammation in microglial BV-2 cells. The most active compound prevented apoptosis of HT22 cells at a concentration of 2.5 μm (83 % cell survival), whereas curcumin only showed very low protection at 10 μm (21 % cell survival).

Indexed as

AmyloidosisCurcuminAmyloidAmyloid beta-PeptidesHumansOxidative StressAmyloidAmyloid beta-PeptidesCurcuminamyloid betabioisosterismnatural productsneuroprotectivityreplica-exchange molecular dynamics

Identifiers

PMID33666306
PMCPMC8048673
OpenAlexW3135002757

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.