Evidence map›Paper›PMID 32433935›Full record

ArticleInternational journal of pharmaceutics2020

Modified electrospun chitosan membranes for controlled release of simvastatin.

Vishnu Priya Murali, Tomoko Fujiwara, Caleb Gallop, Yongmei Wang, Jack A Wilson, Matthew Thomas Atwill, Mallesh Kurakula, Joel D Bumgardner

Open access · greenAbstract read
In one paragraph

Article in International journal of pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 41 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

8 authors at 1 institution in 1 country.

Vishnu Priya MuraliDepartment of Biomedical Engineering, University of Memphis, Memphis, TN 38152, USA. Electronic address: vmurali@memphis.edu.
Tomoko FujiwaraDepartment of Chemistry, University of Memphis, Memphis, TN 38152, USA.
Caleb GallopDepartment of Chemistry, University of Memphis, Memphis, TN 38152, USA.
Yongmei WangDepartment of Chemistry, University of Memphis, Memphis, TN 38152, USA.
Jack A WilsonDepartment of Biomedical Engineering, University of Memphis, Memphis, TN 38152, USA.
Matthew Thomas AtwillDepartment of Biomedical Engineering, University of Memphis, Memphis, TN 38152, USA.
Mallesh KurakulaDepartment of Biomedical Engineering, University of Memphis, Memphis, TN 38152, USA.
Joel D BumgardnerDepartment of Biomedical Engineering, University of Memphis, Memphis, TN 38152, USA.
University of Memphis · US

Funding

Chitosan Guided Bone Regeneration Membranes for Dual Local Delivery of Simvastatin and Raspberry KetoneR01DE026759 · NIDCR · UNIVERSITY OF MEMPHIS · PI BUMGARDNER, JOEL D · 2017 to 2021
$1.9M
NIDCR NIH HHS R01 DE026759
6 · The paper itself

Abstract

Chitosan nanofibrous membranes have immense potential in tissue engineering and drug delivery applications because of their increased surface area, high degree of biocompatibility, and their ability to mimic the extracellular matrix. However, their use is often limited due to their extreme hydrophilic nature causing them to lose their nanofibrous structure in vivo. In the present study, chitosan membranes were modified either by acylation reactions using fatty acids of different chain lengths or tert-butyloxycarbonyl (tBOC) protecting groups to increase the hydrophobicity of the membranes and protect the nanofibrous structure. The modified membranes were characterized using scanning electron microscopy, attenuated total reflectance Fourier transform infrared spectroscopy, water contact angle and elemental analysis to confirm the addition of the modification groups. These membranes were then evaluated to control the release of a hydrophobic osteogenic drug-simvastatin (SMV). The interaction between SMV and the polymer was determined using molecular modeling. Pure SMV and SMV loaded membranes were examined for their in vitro cytotoxicity and osteogenic potential using preosteoblast mouse bone marrow stromal cells. From results, it was evident that as the fatty acid chain length increased from two to six methylene groups, the hydrophobicity of the membranes increased (59.2 ± 8.2° to 94.3 ± 8.5° water contact angle). The amount of drug released from the membranes could be controlled by changing the amount of initial drug loaded and/or the type of modifications. After 4 weeks, for a 500 μg loading, the short chain fatty acid modified membranes released 17.8 ± 3.2% of the drug whereas a long chain fatty acid released only 4.8 ± 0.8%. Similarly, for a 50 μg loading, short chain modified membranes released more (73.3 ± 33.3%) of the loaded drug as compared to the long chain membranes (43.0 ± 3.5%). The long chain fatty acid membranes released SMV for extended time periods of up to 90 days. This data was further supported by molecular modeling, which revealed that SMV was more compatible with more hydrophobic membranes. Cell studies showed that pure SMV from 75 to 600 ng/ml range possessed osteogenic potential in a dose dependent manner and the amount of SMV released from the most hydrophobic FA treated membranes was not cytotoxic and supported osteogenic differentiation. Therefore, this study demonstrates our ability to control the release of a hydrophobic drug from modified chitosan membranes as per the clinical need.

Indexed as

ChitosanHydroxymethylglutaryl-CoA Reductase InhibitorsMembranes, ArtificialNanofibersSimvastatinAcylationAnimalsCell LineCell SurvivalDelayed-Action PreparationsFatty AcidsMiceChitosanDelayed-Action PreparationsFatty AcidsHydroxymethylglutaryl-CoA Reductase InhibitorsMembranes, ArtificialSimvastatinChitosanControlled releaseElectrospun membranesOsteogenesisSimvastatin

Identifiers

PMID32433935
PMCPMC7501838
OpenAlexW3025014552

What OpenQuestion holds

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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.