Evidence map›Paper›PMID 42023162›Full record

ArticleAsian journal of pharmaceutical sciences2026

Dual-functional self-assembled nanosystems with enhanced protease resistance: Promoting bacterial aggregation and immune activation for multidrug-resistant bacterial infection.

Nan Gao, Yikuan Bian, Shasha Wang, Pengfei Bai, Chunyang Fang, Jiaqi Sun, Yihan Li, Na Dong, Anshan Shan, Jiajun Wang

Abstract read
In one paragraph

Article in Asian journal of pharmaceutical sciences, 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

10 authors.

Nan GaoCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
Yikuan BianCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
Shasha WangCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
Pengfei BaiCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
Chunyang FangCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
Jiaqi SunCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
Yihan LiCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
Na DongCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
Anshan ShanCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
Jiajun WangCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multidrug-resistant bacterial infections are increasing globally and posing a greater threat to human health. The application of direct bactericidal agents can induce secondary infections and treatment failures. The antibacterial strategy of the innate immune system brings inspiration. Here, we developed highly stable bacterial-aggregating peptides with immunoregulatory function. These peptides were designed to capture multidrug-resistant bacteria, prevent their dissemination, and activate the antibacterial immune response of the host. Among these peptides, the central-bola amphiphile R

Indexed as

Bacterial-aggregating peptideImmune activationMultidrug-resistant bacterial infectionProtease resistance

Identifiers

PMID42023162
PMCPMC13098519

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.