Evidence map›Paper›PMID 41968466›Full record

ReviewMicrobial biotechnology2026

Bacterial Extracellular Vesicles in Biomedical Research and Clinical Translation.

Alejandro Arce-Rodríguez, Javier De la Peña Noya, José Manuel Borrero-de Acuña

Abstract readReview
In one paragraph

Review in Microbial biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Alejandro Arce-RodríguezDepartamento de Microbiología, Facultad de Biología, Universidad de Sevilla, Sevilla, Spain.ORCID https://orcid.org/0000-0002-2486-401X
Javier De la Peña NoyaDepartamento de Microbiología, Facultad de Biología, Universidad de Sevilla, Sevilla, Spain.
José Manuel Borrero-de AcuñaDepartamento de Microbiología, Facultad de Biología, Universidad de Sevilla, Sevilla, Spain.ORCID https://orcid.org/0000-0002-6409-8110

Funding

Junta de Andalucía EMERGIA20_00048Junta de Andalucía EMERGIA DGP_EMEC_2023_00083Junta de Andalucía FEDER-PPITJunta de Andalucía ProyExcel_00450Junta de Andalucía SOL2024-31798MCIN/AEI PID2021-122395OA-I00MCIN/AEI TED2021-130357B-I00
6 · The paper itself

Abstract

Bacterial Extracellular Vesicles (bEVs) are lipid (single- or double-bilayer) nanostructures secreted by virtually all bacteria that play fundamental roles in intercellular communication and have emerged as powerful, multifunctional tools in biomedicine. Their intrinsic ability to encapsulate and protect diverse biomolecules (including proteins, nucleic acids, lipids, metabolites and immunomodulatory factors) makes them highly attractive for therapeutic and diagnostic applications. Recent advances in molecular and synthetic biology have further expanded the biomedical potential of bEVs through targeted bioengineering strategies such as genetic manipulation, surface functionalisation, glycoengineering and modular display technologies, enabling the scalable production of customised bEVs with enhanced safety, stability, targeting precision and functional versatility. These innovations have unlocked a broad range of applications, including licenced and experimental vaccines, immune modulation strategies, drug delivery systems, diagnostic tools and regenerative medicine approaches. Despite this progress, key translational challenges remain, particularly regarding scalability, safety, standardisation and regulatory frameworks and addressing these issues will be critical for the successful integration of bEV-based technologies into novel therapeutic and diagnostic platforms.

Indexed as

BacteriaBiomedical ResearchExtracellular VesiclesTranslational Research, BiomedicalAnimalsBioengineeringHumans

Identifiers

PMID41968466
PMCPMC13071107

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.