Evidence map›Paper›PMID 40463015›Full record

ArticlebioRxiv : the preprint server for biology2025

Antibiotic treatment modulates

Louis P Widom, Panteha Torabian, Abigail C Wojehowski, Sina Ghaemmaghami, Lea V Michel, Thomas R Gaborski

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

6 authors.

Louis P WidomDepartment of Biomedical Engineering, Rochester Institute of Technology, Rochester, New York, United States.ORCID 0000-0002-2492-9004
Panteha TorabianDepartment of Biomedical Engineering, Rochester Institute of Technology, Rochester, New York, United States.
Abigail C WojehowskiDepartment of Biomedical Engineering, Rochester Institute of Technology, Rochester, New York, United States.
Sina GhaemmaghamiDepartment of Biology, University of Rochester, Rochester, New York, United States.
Lea V MichelSchool of Chemistry and Materials Science, Rochester Institute of Technology, Rochester, New York, United States.
Thomas R GaborskiDepartment of Biomedical Engineering, Rochester Institute of Technology, Rochester, New York, United States.ORCID 0000-0002-3676-3208

Funding

The µSiM-hNVU - a human BBB platform for the study of brain injury mechanisms during systemic infectionR33HL154249 · NHLBI · UNIVERSITY OF ROCHESTER · PI ENGELHARDT, BRITTA, GABORSKI, THOMAS R · 2022 to 2024
$2.2M
Engineering Cell-Substrate Interactions on Porous Membranes to Create Physiologically Relevant Model SystemsR35GM153461 · NIGMS · ROCHESTER INSTITUTE OF TECHNOLOGY · PI THOMAS R GABORSKI · 2024 to 2026
$1.1M
Using nanopocket membranes to capture bacterial outer membrane vesicles from biofluidsR21AI163782 · NIAID · ROCHESTER INSTITUTE OF TECHNOLOGY · PI GABORSKI, THOMAS R, MICHEL, LEA VACCA · 2021 to 2022
$417k
NHLBI NIH HHS R33 HL154249NIAID NIH HHS R21 AI163782NIGMS NIH HHS R35 GM153461
6 · The paper itself

Abstract

Antibiotic treatment is often necessary to eliminate life-threatening bacterial infections. However, these treatments can alter production of bacterial extracellular vesicles (BEVs), which often contain pro-inflammatory biomolecules. In this study, we examined how the clinically-relevant antibiotics meropenem, tobramycin, and ciprofloxacin impacted BEV production from a urinary tract infection-associated

Indexed as

antibioticsBacterial extracellular vesicles (BEVs)endothelial inflammationEscherichia colihost-pathogen interactionintercellular adhesion molecule-1 (ICAM-1)meningitissepsistoll-like receptor 4 (TLR4)urinary tract infection (UTI)

Identifiers

PMID40463015
PMCPMC12132173

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.