Evidence map›Paper›PMID 40685853›Full record

ReviewNanomedicine (London, England)2025

Emerging vesicular nanosystems capable of effectively targeting hepatocytes.

Vanessa Chan, April St Pierre, Tien Do, Shyh-Dar Li

Abstract readReview
In one paragraph

Review in Nanomedicine (London, England), 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

4 authors.

Vanessa ChanFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
April St PierreFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Tien DoFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Shyh-Dar LiFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver indications are increasing in prevalence globally, with nanomedicines emerging as a potential treatment strategy. Hepatocytes play an important role in most liver diseases, making the ability to target these cells an important consideration in the development of therapeutics. Although nanomedicines administered intravenously do tend to accumulate in the liver thanks to its high blood flow, specifically targeting hepatocytes remains non-trivial due to several aspects of liver physiology. For example, hepatocytes are challenging to reach within the liver tissue due to limited fenestrae size in the liver vessels. Disease and age further reduce fenestration, meaning that optimal therapeutic effect is difficult to achieve. To overcome these obstacles, different nanomedicines have been rationally designed to possess optimized size and surface properties, along with hepatocyte-specific targeting ligands. This review discusses developments in vesicular nanotechnologies published in English since 2022, within the context of the unique challenges presented by hepatocyte delivery. The lipid nanoparticles, liposomes, niosomes, and lipid calcium phosphate nanoparticles discussed, from pre-clinical research to clinically approved treatments, represent significant advancements toward this goal. However, further challenges remain, and we expect to continue to see advancements in model development and novel nanosystems tailored for effectiveness in diseased states.

Indexed as

Drug Delivery SystemsHepatocytesLiver DiseasesNanoparticlesAnimalsCalcium PhosphatesHumansLiposomesLiverNanomedicineCalcium PhosphatesLiposomesdrug deliveryhepatocyte targetingLivernanoparticlestargeted therapeutics

Identifiers

PMID40685853
PMCPMC12320823

What OpenQuestion holds

Textmetadata
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.