Evidence map›Paper›PMID 39005962›Full record

ReviewInternational journal of nanomedicine2024

Albumin Nanoparticle-Based Drug Delivery Systems.

Na Qu, Ke Song, Yating Ji, Mingxia Liu, Lijiang Chen, Robert J Lee, Lesheng Teng

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

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28 more citing papers are in PubMed but not listed here.

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

7 authors.

Na QuSchool of Pharmacy, Liaoning University, Shenyang, 110036, People's Republic of China.
Ke SongMERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, 6229 ER, the Netherlands.ORCID 0000-0002-7866-2499
Yating JiSchool of Pharmacy, Liaoning University, Shenyang, 110036, People's Republic of China.ORCID 0009-0005-6942-7867
Mingxia LiuSchool of Pharmacy, Liaoning University, Shenyang, 110036, People's Republic of China.
Lijiang ChenSchool of Pharmacy, Liaoning University, Shenyang, 110036, People's Republic of China.
Robert J LeeSchool of Life Sciences, Jilin University, Changchun, 130023, People's Republic of China.
Lesheng TengSchool of Life Sciences, Jilin University, Changchun, 130023, People's Republic of China.ORCID 0000-0003-1623-5384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticle-based systems are extensively investigated for drug delivery. Among others, with superior biocompatibility and enhanced targeting capacity, albumin appears to be a promising carrier for drug delivery. Albumin nanoparticles are highly favored in many disease therapies, as they have the proper chemical groups for modification, cell-binding sites for cell adhesion, and affinity to protein drugs for nanocomplex generation. Herein, this review summarizes the recent fabrication techniques, modification strategies, and application of albumin nanoparticles. We first discuss various albumin nanoparticle fabrication methods, from both pros and cons. Then, we provide a comprehensive introduction to the modification section, including organic albumin nanoparticles, metal albumin nanoparticles, inorganic albumin nanoparticles, and albumin nanoparticle-based hybrids. We finally bring further perspectives on albumin nanoparticles used for various critical diseases.

Indexed as

AlbuminsNanoparticlesAnimalsDrug CarriersDrug Delivery SystemsHumansNanoparticle Drug Delivery SystemAlbuminsDrug CarriersNanoparticle Drug Delivery Systemalbumin nanoparticleapplicationdrug deliveryfabricationmodification

Identifiers

PMID39005962
PMCPMC11246635

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.