Evidence map›Paper›PMID 36559091›Full record

ReviewPharmaceutics2022

Involvement of Bacterial Extracellular Membrane Nanovesicles in Infectious Diseases and Their Application in Medicine.

Konstantin A Lusta, Anastasia V Poznyak, Larisa Litvinova, Paolo Poggio, Alexander N Orekhov, Alexandra A Melnichenko

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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

6 authors.

Konstantin A LustaInstitute for Atherosclerosis Research, Osennyaya Street 4-1-207, 121609 Moscow, Russia.
Anastasia V PoznyakInstitute for Atherosclerosis Research, Osennyaya Street 4-1-207, 121609 Moscow, Russia.ORCID 0000-0002-1516-1320
Larisa LitvinovaCenter for Immunology and Cellular Biotechnology, Immanuel Kant Baltic Federal University, 6 Gaidara Street, 236001 Kaliningrad, Russia.ORCID 0000-0001-5231-6910
Paolo PoggioUnit for Study of Aortic, Valvular and Coronary Pathologies, Centro Cardiologico Monzino IRCCS, 20137 Milan, Italy.ORCID 0000-0002-7225-3379
Alexander N OrekhovInstitute for Atherosclerosis Research, Osennyaya Street 4-1-207, 121609 Moscow, Russia.ORCID 0000-0002-3318-4681
Alexandra A MelnichenkoInstitute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, 125315 Moscow, Russia.

Funding

Russian Science Foundation 22-65-00005
6 · The paper itself

Abstract

Bacterial extracellular membrane nanovesicles (EMNs) are attracting the attention of scientists more and more every year. These formations are involved in the pathogenesis of numerous diseases, among which, of course, the leading role is occupied by infectious diseases, the causative agents of which are a range of Gram-positive and Gram-negative bacteria. A separate field for the study of the role of EMN is cancer. Extracellular membrane nanovesicles nowadays have a practical application as vaccine carriers for immunization against many infectious diseases. At present, the most essential point is their role in stimulating immune response to bacterial infections and tumor cells. The possibility of nanovesicles' practical use in several disease treatments is being evaluated. In our review, we listed diseases, focusing on their multitude and diversity, for which EMNs are essential, and also considered in detail the possibilities of using EMNs in the therapy and prevention of various pathologies.

Indexed as

bacterial membraneexosomesinfectioninfectious diseasevesicles

Identifiers

PMID36559091
PMCPMC9784355

What OpenQuestion holds

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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.