Evidence map›Paper›PMID 35216228›Full record

ArticleInternational journal of molecular sciences2022

An Interleukin-4 and Interleukin-13 Induced Atopic Dermatitis Human Skin Equivalent Model by a Skin-On-A-Chip.

Kyunghee Kim, Hyeju Kim, Gun Yong Sung

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
11.9field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
  2. Current research landscape and future prospects of in silico modeling approaches for atopic dermatitis.JID innovations : skin science from molecules to population health · 2026
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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

3 authors at 1 institution in 1 country.

Kyunghee KimInterdisciplinary Program of Nano-Medical Device Engineering, Hallym University, Chuncheon 24252, Korea.
Hyeju KimMajor in Materials Science and Engineering, Hallym University, Chuncheon 24252, Korea.
Gun Yong SungInterdisciplinary Program of Nano-Medical Device Engineering, Hallym University, Chuncheon 24252, Korea.ORCID 0000-0001-8515-4786
Hallym University · KR

Funding

Hallym University HRF-202112-001Ministry of Science ICT and Future Planning NRF-2020R1A2C2009928
6 · The paper itself

Abstract

Currently, the mechanism of progression of atopic dermatitis (AD) is not well understood because there is no physiologically appropriate disease model in terms of disease complexity and multifactoriality. Type 2 inflammation, mediated by interleukin (IL)-4 and IL-13, plays an important role in AD. In this study, full-thickness human skin equivalents consisting of human-derived cells were fabricated from pumpless microfluidic chips and stimulated with IL-4 and IL-13. The morphological properties, gene expression, cytokine secretion and protein expression of the stimulated human skin equivalent (HSE) epidermis were investigated. The results showed epidermal and spongy formations similar to those observed in lesions in AD, and decreased expression of barrier-related filaggrin, loricrin and involucrin genes and proteins induced by IL-4Rα signaling. In addition, we induced the expression of

Indexed as

AnimalsDermatitis, AtopicEczemaEpidermisGene ExpressionHumansInflammationInterleukin-13Interleukin-4KeratinocytesLab-On-A-Chip DevicesMembrane ProteinsRatsSkinIL13 protein, humanIL4 protein, humanInterleukin-13Interleukin-4loricrinMembrane Proteinsatopic dermatitiscarbonic anhydrase IIhuman skin equivalentinterleukin-13interleukin-4skin-on-a-chip

Identifiers

PMID35216228
PMCPMC8878506
OpenAlexW4213164200

What OpenQuestion holds

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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.