Evidence map›Paper›PMID 30393315›Full record

ArticleMicromachines2018

In Vivo Experimental Study of Noninvasive Insulin Microinjection through Hollow Si Microneedle Array.

Drago Resnik, Matej Možek, Borut Pečar, Andrej Janež, Vilma Urbančič, Ciprian Iliescu, Danilo Vrtačnik

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-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

21 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Porous silicon and silica carriers for delivery of peptide therapeutics.Drug delivery and translational research · 2024
    Review
  7. Microfluidic-based systems for the management of diabetes.Drug delivery and translational research · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Wearable patches for transdermal drug delivery.Acta pharmaceutica Sinica. B · 2023
    Review
  12. Article
  13. Design and development of insulin microneedles for diabetes treatment.Drug delivery and translational research · 2022
    Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Advances in transdermal insulin delivery.Advanced drug delivery reviews · 2019
    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

7 authors at 3 institutions in 2 countries.

Drago ResnikLaboratory of Microsensor Structures and Electronics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia. drago.resnik@fe.uni-lj.si.
Matej MožekLaboratory of Microsensor Structures and Electronics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia. matej.mozek@fe.uni-lj.si.
Borut PečarLaboratory of Microsensor Structures and Electronics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia. borut.pecar@fe.uni-lj.si.
Andrej JanežDepartment of Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Zaloška 7, SI-1000 Ljubljana, Slovenia. andrej.janez@kclj.si.
Vilma UrbančičDepartment of Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Zaloška 7, SI-1000 Ljubljana, Slovenia. vilma.urbancic@kclj.si.
Ciprian IliescuNational Institute for Research and Development in Microtechnologies, IMT-Bucharest, Bucharest 077190, Romania. ciprian.iliescu@imt.ro.ORCID 0000-0001-7042-5248
Danilo VrtačnikLaboratory of Microsensor Structures and Electronics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia. danilo.vrtacnik@fe.uni-lj.si.
University of Ljubljana · SILjubljana University Medical Centre · SINational Institute for Research and Development in Microtechnologies · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An experimental study of in vivo insulin delivery through microinjection by using hollow silicon microneedle array is presented. A case study was carried out on a healthy human subject in vivo to determine the influence of delivery parameters on drug transfer efficiency. As a microinjection device, a hollow microneedle array (13 × 13 mm²) having 100 microneedles (220 µm high, 130 µm-outer diameter and 50 µm-inner diameter) was designed and fabricated using classical microfabrication techniques. The efficiency of the delivery process was first characterized using methylene blue and a saline solution. Based on these results, the transfer efficiency was found to be predominantly limited by the inability of viable epidermis to absorb and allow higher drug transport toward the capillary-rich region. Two types of fast-acting insulin were used to provide evidence of efficient delivery by hollow MNA to a human subject. By performing blood analyses, infusion of more-concentrated insulin (200 IU/mL, international units (IU)) exhibited similar blood glucose level drop (5⁻7%) compared to insulin of standard concentration (100 IU/mL), however, significant increase of serum insulin (40⁻50%) with respect to the preinfusion values was determined. This was additionally confirmed by a distinctive increase of insulin to C-peptide ratio as compared to preinfusion ratio. Moreover, we noticed that this route of administration mimics a multiple dose regimen, able to get a "steady state" for insulin plasma concentration.

Indexed as

drug transfer efficiencyhollow Si microneedle arrayin vivo insulin deliverymicroinjection

Identifiers

PMID30393315
PMCPMC6187700
OpenAlexW2793682440

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.