Evidence map›Paper›PMID 42511139›Full record

ArticleAnimals : an open access journal from MDPI2026

In Vitro and In Vivo Antibacterial Efficacy of a Ciprofloxacin Delivery System Based on

Wenjie Jin, Zhiheng Chang, Yahao Yu, Aoqi Zhan, Shenao Song, Yuxin Wang, Baobao Liu, Yang Wang, Li Yi

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 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

9 authors.

Wenjie JinCollege of Life Science, Luoyang Normal University, Luoyang 471934, China.
Zhiheng ChangCollege of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471000, China.
Yahao YuCollege of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471000, China.
Aoqi ZhanCollege of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471000, China.
Shenao SongCollege of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471000, China.
Yuxin WangCollege of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471000, China.
Baobao LiuCollege of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471000, China.
Yang WangCollege of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471000, China.ORCID 0000-0002-8266-5262
Li YiCollege of Life Science, Luoyang Normal University, Luoyang 471934, China.

Funding

Henan Provincial Science and Technology Research Project 262102111026National Natural Science Foundation of China 32573360Program for Innovative Research Team (in Science and Technology) in University of Henan Province 24IRTSTHN033Scientific and Technological Innovation Leaders in Central Plains of Henan Province 254000510022
6 · The paper itself

Abstract

Conventional antibiotics exhibit limited ability to penetrate host cell membranes, making intracellular bacterial infections difficult to eradicate completely. As naturally derived nanoscale membrane structures, bacterial extracellular vesicles (EVs) possess excellent biocompatibility and intrinsic transmembrane transport capability, thereby demonstrating unique advantages for in vivo drug delivery. The present study investigated the feasibility of using EVs derived from the avirulent

Indexed as

antibiotic deliveryefflux pumpextracellular vesiclesintracellular bacteriaSalmonella enterica serovar TyphimuriumStreptococcus suis

Identifiers

PMID42511139
PMCPMC13405650

What OpenQuestion holds

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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.