Evidence map›Paper›PMID 41893957›Full record

ReviewMolecular biology reports2026

Self-assembled metabolite-derived amyloid-like structures: implications for disease, therapeutics, and biomedical applications.

Vijay Bhooshan Kumar, Vivek K Mishra, Raj Kumar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Vijay Bhooshan KumarThe Shmunis School of Biomedicine and Cancer Research, George S. Wise, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 6997801, Israel. vijaybhushan86@gmail.com.
Vivek K MishraDepartment of Basic Sciences, Pranveer Singh Institute of Technology, Kanpur, India.
Raj KumarSchool of Health Sciences and Technology, UPES University, Dehradun, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolites are fundamental components that regulate a wide range of biological processes in living organisms. This review focuses on recent advancements in amyloid metabolites, particularly their formation through processes such as self-assembly, propagation, interaction, and transmission. Further we have highlighted amyloid metabolites in metabolic disorders and neurodegenerative diseases. Our findings, alongside those of others in the field, reveal that metabolite assemblies significantly extend the traditional amyloid formation hypothesis. Furthermore, the self-assembly pathways of metabolites determine the shape, size, internal structure, and dimensions of the resulting nanostructures, influencing their biological activity. This growing body of work offers novel insights into the pathophysiology of inborn errors of metabolism (IEMs) and links them to amyloid-related diseases, which are typically characterized by protein and polypeptide aggregation. Additionally, we discuss the role of metabolites in forming stable, functional self-assemblies across various organisms. These assemblies show great promise for biomedical applications, as they present high densities of biological signals on their surfaces, enabling targeted interactions, pathway activation, and enhanced biocompatibility and biodegradability. Finally, this review provides an updated understanding of the assembly behaviours, biological functions, and potential applications of amyloid metabolites.

Indexed as

AmyloidAmyloidogenic ProteinsAnimalsHumansMetabolic DiseasesNeurodegenerative DiseasesAmyloidAmyloidogenic ProteinsAmino acidAmyloidFunction and Related diseaseMetabolitesNon-amino acidSelf-assembled

Identifiers

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Registered trials

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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.