Evidence map›Paper›PMID 41705179›Full record

ArticleBioImpacts : BI2025

Immune-modulatory biomimetic nanoparticles: Advances in design, mechanisms, and nanomedicine applications.

Somayeh Vandghanooni, Parniya Kehtari, Niloufar Ahdeno

Abstract readEditorial
In one paragraph

Article in BioImpacts : BI, 2025. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  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

3 authors.

Somayeh VandghanooniHematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0000-0003-3400-4109
Parniya KehtariResearch Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Niloufar AhdenoResearch Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of biomimetic nanoparticles (NPs) represents an innovative approach to address the lacks of conventional drug delivery systems. This advancement demonstrates promising potential in immunotherapy. Biomimetic NPs imitate biological structures to improve the effectiveness of drug delivery and enhance interactions with cancer cells. Their beneficial features include biocompatibility, long circulation time, tissue specificity, enhanced drug absorption, and low toxicity. Recent advancements confirm the efficacy of biomimetic NPs especially cell-membrane coated biomimetic NPs in immune modulation in cancer and inflammatory diseases. Furthermore, their integration with innovative gene engineering techniques, such as mRNA therapeutics and CRISPR-Cas9, for immune system targeting represents a novel therapeutic approach. This editorial explains the potential of biomimetic NPs in tumor immunotherapy and precision medicine, as well as the challenges they face in clinical translation, including biodistribution, long-term biosafety, the risk of unexpected activation of the immune system and scalability. Future recommendations emphasize the use of advanced biosensing tracking systems and the standardization of production for medicinal translation. BioImpacts invites researchers and scholars involved in this interdisciplinary field to collaborate to advance innovation at the intersection of nanotechnology and immunology.

Indexed as

Biomimetic nanoparticlesCell membrane-coated nanoparticlesCRISPR-Cas9Immune modulationImmunotherapymRNA therapeuticsNanomedicinePrecision medicine

Identifiers

PMID41705179
PMCPMC12907506

What OpenQuestion holds

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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.