Evidence map›Paper›PMID 36705509›Full record

ArticleClinical and translational allergy2023

High dupilumab levels in tear fluid of atopic dermatitis patients with moderate-to-severe ocular surface disease.

Roselie Achten, Judith Thijs, Marlot van der Wal, Chantal van Luijk, Matthijs van Luin, Mohsin El Amrani, Edward Knol, Eveline Delemarre, Constance den Hartog Jager, Marlies de Graaf and 4 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational allergy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 14 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

14 authors at 2 institutions in 1 country.

Roselie AchtenDepartment of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0001-5617-8615
Judith ThijsDepartment of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands.
Marlot van der WalCenter for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Chantal van LuijkDepartment of Ophthalmology, University Medical Center Utrecht, Utrecht, The Netherlands.
Matthijs van LuinDepartment of Clinical Pharmacy, University Medical Center Utrecht, Utrecht, The Netherlands.
Mohsin El AmraniDepartment of Clinical Pharmacy, University Medical Center Utrecht, Utrecht, The Netherlands.
Edward KnolDepartment of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands.
Eveline DelemarreCenter for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Constance den Hartog JagerCenter for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Marlies de GraafDepartment of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands.
Daphne BakkerDepartment of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands.
Joke de BoerDepartment of Ophthalmology, University Medical Center Utrecht, Utrecht, The Netherlands.
Femke van WijkCenter for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Marjolein de Bruin-WellerDepartment of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands.
Utrecht University · NLUniversity Medical Center Utrecht · NL

Funding

Sanofi
6 · The paper itself

Abstract

backgroundThe patho-mechanism of ocular surface disease (OSD) in dupilumab-treated atopic dermatitis (AD) patients remains unclear. The aim of this study is to measure dupilumab levels in tear fluid and serum, and relate these findings to the severity of OSD during dupilumab treatment in AD patients.

methodsThis prospective study included dupilumab-treated moderate-to-severe AD patients who were seen by a dermatologist and an ophthalmologist before the start of dupilumab (baseline), and after 4 and 28 weeks of dupilumab treatment. Dupilumab levels in tear fluid and serum were measured by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). Additionally, a pilot study was conducted to measure dupilumab on conjunctival epithelial cells using flow cytometry and LC-MS/MS.

resultsAt baseline, 89.6% (n = 43/48) of the patients had OSD, with 50.0% having moderate-to-severe OSD. After 28 weeks of dupilumab treatment, the median dupilumab tear fluid levels were 0.55 mg/L (IQR 0.35-1.31) and 0.29 mg/L (IQR 0.16-0.60) in patients with moderate-to-severe OSD and patients with no or mild OSD, respectively (p = 0.02). Dupilumab levels could be detected on conjunctival epithelial cells of 5 AD patients treated with dupilumab for 4 weeks.

conclusionPatients with moderate-to-severe OSD had higher dupilumab tear fluid levels compared to patients with no or mild OSD, indicating that dupilumab reaches the ocular surface. Dupilumab was also detected in conjunctival cell suspensions and was found to directly bind CD45-conjunctival epithelial cells. This suggests that AD-induced changes of the conjunctival epithelium may play a role in the development of OSD as well as increased local drug availability.

Indexed as

atopic dermatitisdupilumabocular surface diseasetear fluid

Identifiers

PMID36705509
PMCPMC9842774
OpenAlexW4316669370

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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.