Evidence map›Paper›PMID 32989035›Full record

ReviewInfection and immunity2020

Extracellular Vesicle Biogenesis and Functions in Gram-Positive Bacteria.

Paul Briaud, Ronan K Carroll

Open access · greenAbstract readReview
In one paragraph

Review in Infection and immunity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
179citing papers in PubMed, 1 pooled it
16.4field-weighted citation impact, top 1% of its field
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

179 citing papers in PubMed, 1 synthesis or guideline pooled it, 265 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Review
  5. Towards a Scalable Production ofInternational journal of molecular sciences · 2026
    Article
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  18. Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026
    Review
  19. Membrane Vesicles fromInternational journal of molecular sciences · 2026
    Article
  20. Review

119 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Paul BriaudDepartment of Biological Sciences, Ohio University, Athens, Ohio, USA.
Ronan K CarrollDepartment of Biological Sciences, Ohio University, Athens, Ohio, USA carrolr3@ohio.edu.ORCID 0000-0001-7090-3414
Ohio University · US

Funding

Post-translational regulation of alpha PSM production in Staphylococcus aureus by the small RNA Teg41R01AI143743 · NIAID · OHIO UNIVERSITY ATHENS · PI CARROLL, RONAN · 2019 to 2023
$2.1M
NIAID NIH HHS R01 AI143743
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are membrane-derived lipid bilayers secreted by bacteria and eukaryotic cells. Bacterial membrane vesicles were discovered over 60 years ago and have been extensively studied in Gram-negative bacteria. During their production, EVs are loaded with proteins, nucleic acids, and various compounds that are subsequently released into the environment. Depending on the packaged cargo, EVs have a broad spectrum of action and are involved in pathogenesis, antibiotic resistance, nutrient uptake, and nucleic acid transfer. Due to differences in cell wall structure, EVs in Gram-positive bacteria have been disregarded for decades, and our understanding of their biogenesis and host cell interaction is incomplete. Recently, studies on bacteria such as

Indexed as

AnimalsBacillus subtilisBioengineeringBiological TransportExtracellular VesiclesGram-Positive BacteriaHumansInflammationMycobacteriumStaphylococcal InfectionsStaphylococcus aureusStreptococcusVaccinesVaccinesEVsextracellular vesiclesGram-positive bacteriamembrane vesiclesOMV

Identifiers

PMID32989035
PMCPMC7671900
OpenAlexW3088907107

What OpenQuestion holds

Textmetadata
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.