Evidence map›Paper›PMID 33374646›Full record

ArticlePharmaceutics2020

Improved Bioavailability of Montelukast through a Novel Oral Mucoadhesive Film in Humans and Mice.

Johanna Michael, Diana Bessa de Sousa, Justin Conway, Erick Gonzalez-Labrada, Rodolphe Obeid, Julia Tevini, Thomas Felder, Birgit Hutter-Paier, Horst Zerbe, Nadine Paiement and 1 more

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Montelukast alleviates neuroinflammation and improves motor functions in the line 61 model of Parkinson's disease: An exploratory study.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Overview about Oral Films in Mental Disorders.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  10. Observational
  11. 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

11 authors at 2 institutions in 1 country.

Johanna MichaelInstitute of Molecular Regenerative Medicine, Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.
Diana Bessa de SousaInstitute of Molecular Regenerative Medicine, Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.
Justin ConwayIntelgenX Corp., Saint-Laurent, QC H4S 1Y2, Canada.
Erick Gonzalez-LabradaIntelgenX Corp., Saint-Laurent, QC H4S 1Y2, Canada.
Rodolphe ObeidIntelgenX Corp., Saint-Laurent, QC H4S 1Y2, Canada.
Julia TeviniDepartment of Laboratory Medicine, Paracelsus Medical University, 5020 Salzburg, Austria.
Thomas FelderDepartment of Laboratory Medicine, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0001-8266-5513
Birgit Hutter-PaierQPS Neuropharmacology, 8074 Grambach/Graz, Austria.
Horst ZerbeIntelgenX Corp., Saint-Laurent, QC H4S 1Y2, Canada.
Nadine PaiementIntelgenX Corp., Saint-Laurent, QC H4S 1Y2, Canada.
Ludwig AignerInstitute of Molecular Regenerative Medicine, Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.
Paracelsus Medical University · ATQPS (Austria) · AT

Funding

Austrian Science Fund FWF P 31362
6 · The paper itself

Abstract

The leukotriene receptor antagonist Montelukast (MTK) is an approved medication for the treatment of asthma and allergic rhinitis. The existing marketed tablet forms of MTK exhibit inconsistent uptake and bioavailability, which partially explains the presence of a significant proportion of MTK low- and non-responders in the population. Besides that, tablets are suboptimal formulations for patients suffering from dysphagia, for example, seen in patients with neurodegenerative diseases such as Alzheimer's disease, a disease with increasing interest in repurposing of MTK. This, and the need for an improved bioavailability, triggered us to reformulate MTK. Our aim was to develop a mucoadhesive MTK film with good safety and improved pharmacological features, i.e., an improved bioavailability profile in humans as well as in a mouse model of Alzheimer's disease. We tested dissolution of the MTK mucoadhesive film and assessed pharmacoexposure and kinetics after acute and chronic oral application in mice. Furthermore, we performed a Phase I analysis in humans, which included a comparison with the marketed tablet form as well as a quantitative analysis of the MTK levels in the cerebrospinal fluid. The novel MTK film demonstrated significantly improved bioavailability compared to the marketed tablet in the clinical Phase 1a study. Furthermore, there were measurable amounts of MTK present in the cerebrospinal fluid (CSF). In mice, MTK was detected in serum and CSF after acute and chronic exposure in a dose-dependent manner. The mucoadhesive film of MTK represents a promising alternative for the tablet delivery. The oral film might lower the non-responder rate in patients with asthma and might be an interesting product for repurposing of MTK in other diseases. As we demonstrate Blood-Brain-Barrier (BBB) penetrance in a preclinical model, as well as in a clinical study, the oral film of MTK might find its use as a therapeutic for acute and chronic neurodegenerative diseases such as dementias and stroke.

Indexed as

Alzheimer’s diseasedementiadrug deliverymontelukast

Identifiers

PMID33374646
PMCPMC7822410
OpenAlexW3114931280

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.