Structural-Functional Customization of Nanoscale Liposome-in-Liposome Systems: Precision Engineering Methodology and Artificial-Intelligence-Driven Design Prospects.

Abstract read

In one paragraph

Article in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Liutao HuState Key Laboratory of Bioactive Molecules and Druggability Assessment, Guangdong Basic Research Center of Excellence for Natural Bioactive Molecules and Discovery of Innovative Drugs, College of Pharmacy, Jinan University, Guangzhou 511436, China.

Jianfeng CaiDepartment of Chemistry, University of South Florida, Tampa, FL 33620, USA.ORCID https://orcid.org/0000-0003-3106-3306

Chao LuState Key Laboratory of Bioactive Molecules and Druggability Assessment, Guangdong Basic Research Center of Excellence for Natural Bioactive Molecules and Discovery of Innovative Drugs, College of Pharmacy, Jinan University, Guangzhou 511436, China.ORCID https://orcid.org/0000-0002-2118-8888

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liposome-in-liposome systems with multicompartment structures offer advantages in structural complexity and functional programmability, but their application is limited by poor controllability in conventional fabrication. A recent Nature Chemistry study by Elani et al. reports a methodology to prepare sub-200-nm dual-layered liposomes, enabling customizable bilayers and adjustable interbilayer spaces. Their stepwise assembly approach promises to facilitate the integration of artificial intelligence expertise from unilamellar liposome research into liposome-in-liposome systems, thereby further optimizing formulations and enabling biological predictions. Consequently, this advancement may accelerate the clinical translation of liposomal drugs and advance frontier research in areas such as artificial organelles and lipid nanoparticles.

Identifiers

PMID41726767

DOI10.34133/research.1168

PMCPMC12917109

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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.