Evidence map›Paper›PMID 40305223›Full record

ReviewBiomolecules2025

Plant-Based Inhibitors of Protein Aggregation.

Olha Zhytniakivska, Tanmay Chaturvedi, Mette Hedegaard Thomsen

Abstract readReview
In one paragraph

Review in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

3 authors.

Olha ZhytniakivskaAAU Energy, Aalborg University, Niels Bohrs Vej 8, 6700 Esbjerg, Denmark.
Tanmay ChaturvediAAU Energy, Aalborg University, Niels Bohrs Vej 8, 6700 Esbjerg, Denmark.ORCID 0000-0003-1966-8898
Mette Hedegaard ThomsenAAU Energy, Aalborg University, Niels Bohrs Vej 8, 6700 Esbjerg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assembly of amyloidogenic proteins and peptides into toxic oligomeric and fibrillar aggregates is closely connected to the onset and progression of more than 50 protein diseases, such as Alzheimer's disease, Parkinson's disease, prion disease, and type 2 diabetes, to name only a few. Considerable research efforts at identifying the therapeutic strategies against these maladies are currently focused on preventing and inhibiting pathogenic protein aggregation by various agents. Plant-based extracts and compounds have emerged as promising sources of potential inhibitors due to their dual role as nutraceuticals as part of healthy diets and as specific pharmaceuticals when administered at higher concentrations. In recent decades, several plant extracts and plant-extracted compounds have shown potential to modulate protein aggregation. An ever-growing body of research on plant-based amyloid inhibitors requires a detail analysis of existing data to identify potential knowledge gaps. This review summarizes the recent progress in amyloid inhibition using 17 flavonoids, 11 polyphenolic non-flavonoid compounds, 23 non-phenolic inhibitors, and 59 plant extracts, with the main emphasis on directly modulating the fibrillation of four amyloid proteins, namely amyloid-β peptide, microtubule-associated protein tau, α-synuclein, and human islet amyloid polypeptide.

Indexed as

Plant ExtractsProtein AggregatesProtein Aggregation, Pathologicalalpha-SynucleinAmyloid beta-PeptidesAnimalsFlavonoidsHumanstau Proteinsalpha-SynucleinAmyloid beta-PeptidesFlavonoidsPlant ExtractsProtein Aggregatestau Proteinsamyloid fibrilsplant-extracted compoundsprotein misfolding

Identifiers

PMID40305223
PMCPMC12025044

What OpenQuestion holds

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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.