Evidence map›Paper›PMID 41141625›Full record

ReviewBiochemistry and biophysics reports2025

Intermolecular forces at the interface between NPs and biological systems.

Eder Linares Vargas

Abstract readReview
In one paragraph

Review in Biochemistry and biophysics reports, 2025. 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. Review
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

1 author.

Eder Linares VargasUniversity of Atlántico, Faculty of Education Bachelor's Degree Program in Natural Sciences, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles used for theranostic purposes interact with the cell membrane, thereby establishing a series of nanoparticle/biological system interfaces. These interactions often lead to biocompatible or bioadverse outcomes, as previously referenced. The development of predictive relationships between the nanoparticle and the biological system is determined by the physicochemical properties of the nanomaterial, such as shape, surface characteristics, roughness, size, and surface coating, among others. The objective of this article is to determine how the physicochemical properties of nanoparticles influence their interactions with biological systems, particularly at the nano-bio interface, aiming to enhance their effectiveness in biomedical applications such as drug delivery and cancer therapies. It focuses on the detailed analysis and exposition of the interactions between nanoparticles (NPs) and biological systems, especially at the nano-bio interface. No original experiments are presented; rather, it provides a compilation, analysis, and discussion of previous studies with an explanatory approach. It is concluded that studying the relationships at the interface (membrane/cell assembly) allows us to understand the influences these have on the final fate of these nanostructures, making them more efficient and effective in the fight against cancer. It is concluded that studying the relationships at the interface (membrane/cell assembly) allows us to understand the influences these have on the final fate of these nanostructures, making them more efficient and effective in the fight against cancer. Recent advances have provided strong evidence supporting these perspectives [17]; [18]; [24]; [25], showing how exosomal corona formation, calcium-functionalized nanomaterials, and smartly designed nanostructures are reshaping the understanding of cancer nanotherapy.

Indexed as

Nano-bio systemNanoparticlesPhysicochemical properties

Identifiers

PMID41141625
PMCPMC12547760

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.