Evidence map›Paper›PMID 37836006›Full record

ArticlePolymers2023

Drug Loaded 3D-Printed Poly(ε-Caprolactone) Scaffolds for Local Antibacterial or Anti-Inflammatory Treatment in Bone Regeneration.

Mariia Stepanova, Ilia Averianov, Iosif Gofman, Natalia Shevchenko, Artem Rubinstein, Tatiana Egorova, Andrey Trulioff, Yulia Nashchekina, Igor Kudryavtsev, Elena Demyanova and 2 more

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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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

12 authors at 6 institutions in 1 country.

Mariia StepanovaInstitute of Macromolecular Compounds, Russian Academy of Sciences, 199004 St. Petersburg, Russia.ORCID 0000-0002-8385-4321
Ilia AverianovInstitute of Macromolecular Compounds, Russian Academy of Sciences, 199004 St. Petersburg, Russia.
Iosif GofmanInstitute of Macromolecular Compounds, Russian Academy of Sciences, 199004 St. Petersburg, Russia.ORCID 0000-0002-1939-2660
Natalia ShevchenkoInstitute of Macromolecular Compounds, Russian Academy of Sciences, 199004 St. Petersburg, Russia.ORCID 0000-0001-7492-268X
Artem RubinsteinInstitute of Experimental Medicine, 197376 St. Petersburg, Russia.ORCID 0000-0002-8493-5211
Tatiana EgorovaState Research Institute of Highly Pure Biopreparations FMBA of Russia, 197110 St. Petersburg, Russia.
Andrey TrulioffInstitute of Experimental Medicine, 197376 St. Petersburg, Russia.
Yulia NashchekinaInstitute of Cytology, Russian Academy of Sciences, 194064 St. Petersburg, Russia.
Igor KudryavtsevInstitute of Experimental Medicine, 197376 St. Petersburg, Russia.
Elena DemyanovaState Research Institute of Highly Pure Biopreparations FMBA of Russia, 197110 St. Petersburg, Russia.
Evgenia Korzhikova-VlakhInstitute of Macromolecular Compounds, Russian Academy of Sciences, 199004 St. Petersburg, Russia.ORCID 0000-0002-2530-7709
Viktor Korzhikov-VlakhInstitute of Macromolecular Compounds, Russian Academy of Sciences, 199004 St. Petersburg, Russia.ORCID 0000-0002-3509-3978
Institute of Macromolecular Compounds · RUInstitute of Experimental Medicine · RUState Research Institute of Highly Pure Biopreparations · RUFar Eastern Federal University · RUInstitute of Cytology · RUSt Petersburg University · RU

Funding

Government of Russia 122012000450-5Government of Russia FGWG-2022-0005, no. 122020300186-5
6 · The paper itself

Abstract

Annual bone grafting surgeries due to bone fractures, resections of affected bones, skeletal anomalies, osteoporosis, etc. exceed two million worldwide. In this regard, the creation of new materials for bone tissue repair is one of the urgent tasks of modern medicine. Additive manufacturing, or 3D printing, offers great opportunities for the development of materials with diverse properties and designs. In this study, the one-pot technique for the production of 3D scaffolds based on poly(ε-caprolactone) (PCL) loaded with an antibiotic or anti-inflammatory drug was proposed. In contrast to previously described methods to prepare drug-containing scaffolds, drug-loaded PCL scaffolds were prepared by direct 3D printing from a polymer/drug blend. An investigation of the mechanical properties of 3D-printed scaffolds containing 0.5-5 wt% ciprofloxacin (CIP) or dexamethasone (DEX) showed almost no effect of the drug (compression modulus ~70-90 MPa) compared to unfilled PCL (74 MPa). At the same time, introducing the drug and increasing its content in the PCL matrix contributed to a 1.8-6.8-fold decrease in the specific surface area of the scaffold, depending on composition. The release of CIP and DEX in phosphate buffer solution and in the same buffer containing lipase revealed a faster release in enzyme-containing medium within 45 days. Furthermore, drug release was more intensive from scaffolds with a low drug load. Analysis of the release profiles using a number of mathematical dissolution models led to the conclusion that diffusion dominates over other probable factors. In vitro biological evaluation of the scaffolds containing DEX showed moderate toxicity against osteoblast-like and leukemia monocytic cells. Being 3D-printed together with PCL both drugs retain their biological activity. PCL/CIP and PCL/DEX scaffolds demonstrated antibacterial properties against

Indexed as

3D-printed polymer materialsanti-inflammatory effectantimicrobial activityciprofloxacindexamethasonedrug releaseimplantable drug delivery systemsscaffolds

Identifiers

PMID37836006
PMCPMC10575412
OpenAlexW4387265055

What OpenQuestion holds

Textmetadata
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.