Evidence map›Paper›PMID 29200845›Full record

ArticleInternational journal of nanomedicine2017

Solid lipid nanoparticles for thermoresponsive targeting: evidence from spectrophotometry, electrochemical, and cytotoxicity studies.

Mubashar Rehman, Ayesha Ihsan, Asadullah Madni, Sadia Zafar Bajwa, Di Shi, Thomas J Webster, Waheed S Khan

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

22 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Solid Lipid Nanoparticles: Applications and Prospects in Cancer Treatment.International journal of molecular sciences · 2023
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Mubashar RehmanDepartment of Pharmacy, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.
Ayesha IhsanNanobiotech Group, National Institute of Biotechnology and Genetic Engineering, Faisalabad, Punjab, Pakistan.
Asadullah MadniDepartment of Pharmacy, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.
Sadia Zafar BajwaNanobiotech Group, National Institute of Biotechnology and Genetic Engineering, Faisalabad, Punjab, Pakistan.
Di ShiDepartment of Chemical Engineering, Northeastern University, Boston, MA, USA.
Thomas J WebsterDepartment of Chemical Engineering, Northeastern University, Boston, MA, USA.
Waheed S KhanNanobiotech Group, National Institute of Biotechnology and Genetic Engineering, Faisalabad, Punjab, Pakistan.
National Institute for Biotechnology and Genetic Engineering · PKNortheastern University · USIslamia University of Bahawalpur · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermoresponsive drug delivery systems are designed for the controlled and targeted release of therapeutic payload. These systems exploit hyperthermic temperatures (>39°C), which may be applied by some external means or due to an encountered symptom in inflammatory diseases such as cancer and arthritis. The objective of this paper was to provide some solid evidence in support of the hypothesis that solid lipid nanoparticles (SLNs) can be used for thermoresponsive targeting by undergoing solid-liquid phase transition at their melting point (MP). Thermoresponsive lipid mixtures were prepared by mixing solid and liquid natural fatty acids, and their MP was measured by differential scanning calorimetry (DSC). SLNs (MP 39°C) containing 5-fluorouracil (5-FU) were synthesized by hot melt encapsulation method, and were found to have spherical shape (transmission electron microscopy studies), desirable size (<200 nm), and enhanced physicochemical stability (Fourier transform infrared spectroscopy analysis). We observed a sustained release pattern (22%-34%) at 37°C (5 hours). On the other hand, >90% drug was released at 39°C after 5 hours, suggesting that the SLNs show thermoresponsive drug release, thus confirming our hypothesis. Drug release from SLNs at 39°C was similar to oleic acid and linoleic acid nanoemulsions used in this study, which further confirmed that thermoresponsive drug release is due to solid-liquid phase transition. Next, a differential pulse voltammetry-based electrochemical chemical detection method was developed for quick and real-time analysis of 5-FU release, which also confirmed thermoresponsive drug release behavior of SLNs. Blank SLNs were found to be biocompatible with human gingival fibroblast cells, although 5-FU-loaded SLNs showed some cytotoxicity after 24 hours. 5-FU-loaded SLNs showed thermoresponsive cytotoxicity to breast cancer cells (MDA-MB-231) as cytotoxicity was higher at 39°C (cell viability 72%-78%) compared to 37°C (cell viability >90%) within 1 hour. In conclusion, this study presents SLNs as a safe, simple, and effective platform for thermoresponsive targeting.

Indexed as

Calorimetry, Differential ScanningCell Line, TumorDrug CarriersDrug Delivery SystemsDrug LiberationElectrochemical TechniquesFatty AcidsFluorouracilHumansHyperthermia, InducedLipidsMicroscopy, Electron, TransmissionNanoparticlesPhase TransitionSpectroscopy, Fourier Transform InfraredTemperatureDrug CarriersFatty AcidsFluorouracilLipids5-fluorouracilbreast canceremulsionsfatty acidsnanostructured lipid carrierstemperature sensitive

Identifiers

PMID29200845
PMCPMC5701611
OpenAlexW2768618412

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.