Evidence map›Paper›PMID 40838010›Full record

ArticleFrontiers in microbiology2025

Activity in an air-liquid interface lung infection model, feasibility of inhaled delivery, and stability of cell-free supernatants from

Anna Maria Piras, Marta Bianchi, Nicolò Della Bona, Brunella Grassiri, Esingül Kaya, Andrea Bertacca, Chiara Migone, Giuseppantonio Maisetta, Semih Esin, Giovanna Batoni

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 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. Proteomic Analysis of the Differential Response ofAntibiotics (Basel, Switzerland) · 2025
    Article
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.

Anna Maria PirasDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Marta BianchiDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Nicolò Della BonaDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Brunella GrassiriDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Esingül KayaDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Andrea BertaccaDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Chiara MigoneDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Giuseppantonio MaisettaDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Semih EsinCentre for Instrument Sharing of the University of Pisa (CISUP), Pisa, Italy.
Giovanna BatoniCentre for Instrument Sharing of the University of Pisa (CISUP), Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Given the increasing prevalence of multidrug-resistant pathogens and the diminishing efficacy of conventional antibiotics, this study explores the potential of probiotics or their metabolic products as alternative antimicrobial agents. Specifically, we investigated the antibacterial properties of cell-free supernatants (CFS) derived from the probiotic strain Methods: To simulate the human respiratory environment, we employed various Results: CFS demonstrated significant antibacterial activity in the ALI model, reducing Conclusion: These findings support the potential of

Indexed as

cystic fibrosisLacticaseibacillus rhamnosuslung infectionslung modelPseudomonas aeruginosasolution for inhalation

Identifiers

PMID40838010
PMCPMC12361147

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.