Evidence map›Paper›PMID 41844599›Full record

ArticleNature communications2026

Surface hydrophobicity and rigidity determines protein corona on orally delivered nanoparticles treating colitis.

Jiawei Wu, Mingjie Ni, Liyun Xing, Yating Wang, Xi Liu, Yaxian Zheng, Lian Li, Yuan Huang

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

8 authors.

Jiawei Wu *Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China.
Mingjie Ni *Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China.ORCID 0009-0002-0395-0821
Liyun XingKey Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China.
Yating WangKey Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China.
Xi LiuKey Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China.
Yaxian ZhengKey Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China.
Lian LiKey Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China.ORCID 0000-0002-3616-8206
Yuan HuangKey Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China. huangyuan0@163.com.ORCID 0000-0003-3410-8602

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disease-specific protein corona adsorbed on nanocarriers determines in vivo delivery efficiency. Macrophages can orchestrate inflammation resolution and mucosa repair, making them a promising therapeutic target in colitis. Here, we show that surface hydrophobicity and rigidity determine colitis-specific intestinal protein corona (C-IPC) on orally delivered nanoparticles for treating colitis, which improves therapeutic efficiency. We show that high surface hydrophobicity boosts overall protein adsorption, leading to improved colon macrophage delivery and therapeutic effect when loaded with budesonide. Moreover, hydrophobicity with high rigidity results in a corona enriched with macrophage-targeting proteins, notably S100A8, generating an optimal C-IPC characterized by both high protein amount and high proportion of targeting proteins. Consequently, high rigidity nanoparticles more effectively attenuates the inflammatory state and restores the immune homeostasis in male rats with colitis. Our work develops a rational strategy of manipulating protein corona formation through physicochemical properties for efficient oral drug delivery, holding broad promise for diverse nanocarriers and pathologies.

Indexed as

ColitisNanoparticlesProtein CoronaAdministration, OralAnimalsAnti-Inflammatory AgentsBudesonideColonDrug Delivery SystemsHydrophobic and Hydrophilic InteractionsMacrophagesMaleRatsSurface PropertiesAnti-Inflammatory AgentsBudesonideProtein Corona

Identifiers

PMID41844599
PMCPMC12996528

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.