Evidence map›Paper›PMID 41778058›Full record

ArticleFrontiers in bioinformatics2026

Integrated experimental and computational insights into the anti-inflammatory potential of flower-derived exosome-like nanoparticles targeting the NF-κB pathway.

Sreyoshi Routh, Venkatraman Manickam

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Therapeutic assessment ofFrontiers in oncology · 2026
    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

2 authors.

Sreyoshi RouthSchool of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Venkatraman ManickamSchool of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dysregulated inflammation underlies numerous chronic pathologies, with the NF-κB p65-p50 heterodimer acting as a pivotal transcriptional regulator that mediates different inflammatory responses. Consequently, inhibiting NF-κB nuclear translocation has emerged as a promising strategy in anti-inflammatory drug development. While floral extracts have been widely used, recent advances have highlighted the therapeutic potential of flower-derived exosome like nanoparticles as promising cell-free therapeutics owing to their enhanced biocompatibility and stability. Methods: Exosome like nanoparticles were isolated from three ethnomedicinal flowers and systematically characterized. Antioxidant potential of ELNs was evaluated through DPPH assay and their anti-inflammatory potential was assessed. Further, to elucidate the molecular mechanisms underlying NF-κB modulation, key ELN-associated metabolites were computationally screened against the crystallized NF-κB p65-p50 heterodimer using molecular docking, followed by molecular dynamics simulations to evaluate binding stability and interaction dynamics. Results and discussion: Isolated ELNs demonstrated a strong antioxidant potential and

Indexed as

dockingexosome-like nanoparticlesinflammationmolecular dynamics simulationNF-κB

Identifiers

PMID41778058
PMCPMC12950680

What OpenQuestion holds

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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.