Evidence map›Paper›PMID 39766262›Full record

ArticleBiomolecules2024

Polystyrene-Poly(acrylic acid) Block Copolymers for Encapsulation of Butyrylcholinesterase into Injectable Nanoreactors.

Petr A Fetin, Ivan M Zorin, Zukhra M Shaihutdinova, Patrick Masson, Tatiana N Pashirova

Abstract read
In one paragraph

Article in Biomolecules, 2024. 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. 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

5 authors.

Petr A FetinDepartment of Macromolecular Chemistry, Institute of Chemistry, St. Petersburg State University, 7/9 Universitetskaya nab, 199034 St. Petersburg, Russia.ORCID 0000-0002-0448-7173
Ivan M ZorinDepartment of Macromolecular Chemistry, Institute of Chemistry, St. Petersburg State University, 7/9 Universitetskaya nab, 199034 St. Petersburg, Russia.ORCID 0000-0001-8133-0615
Zukhra M ShaihutdinovaInstitute of Fundamental Medicine and Biology, Kazan Federal University, 18 Kremlyovskaya St., 420008 Kazan, Russia.ORCID 0009-0008-5713-4137
Patrick MassonInstitute of Fundamental Medicine and Biology, Kazan Federal University, 18 Kremlyovskaya St., 420008 Kazan, Russia.ORCID 0000-0002-7837-3662
Tatiana N PashirovaInstitute of Fundamental Medicine and Biology, Kazan Federal University, 18 Kremlyovskaya St., 420008 Kazan, Russia.ORCID 0000-0002-2001-1570

Funding

Russian Science Foundation 20-14-00155
6 · The paper itself

Abstract

The article is devoted to the creation of enzymatic nanoreactors based on polystyrene-block-poly(acrylic acid) (PS-b-PAA) copolymers containing bioscavengers capable of neutralizing toxic esters both in the body and in the environment. Block copolymers of different amphiphilicity, hydrophilicity and molecular weights were synthesized and characterized using gel permeation chromatography, NMR and UV spectroscopy. Polymeric nanocontainers in the absence and presence of human butyrylcholinesterase were made by film hydration and characterized by dynamic light scattering and microscopy methods. Enzyme activity was determined using the Ellman method. For the first time, factors that need to be taken into account for the creation of effective enzymatic nanoreactors based on PS-b-PAA are presented. The data obtained open up the possibility of PS-b-PAA nanoreactor use for future in vivo bioscavenger studies.

Indexed as

Acrylic ResinsButyrylcholinesterasePolystyrenesAcrylatesHumansAcrylatesAcrylic ResinsButyrylcholinesterasecarbopol 940poly(styrene-b-acrylic acid)Polystyrenesbioscavengerbutyrylcholinesteraseenzyme activitypolymersomesself-assembly

Identifiers

PMID39766262
PMCPMC11673596

What OpenQuestion holds

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Registered trials

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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.