Evidence map›Paper›PMID 39137810›Full record

ArticleJournal of Korean medical science2024

Systemic Inflammatory Proteomic Biomarkers in Atopic Dermatitis: Exploring Potential Indicators for Disease Severity.

Yu Ri Woo, Ji Hwan Moon, Ha Yeon Shin, Yoon Ji Bang, Seowon Song, Subin Lee, Dong Hun Lee, Hyun Je Kim, Jung Eun Kim

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

9 authors.

Yu Ri Woo *Department of Dermatology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-2903-9534
Ji Hwan Moon *Samsung Genome Institute, Samsung Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-0172-4428
Ha Yeon ShinDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea.ORCID https://orcid.org/0009-0003-6268-1884
Yoon Ji BangDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea.ORCID https://orcid.org/0000-0002-1539-6277
Seowon SongDepartment of Dermatology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-3315-0761
Subin LeeDepartment of Dermatology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0009-0000-9557-7774
Dong Hun LeeDepartment of Dermatology, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-2925-3074
Hyun Je KimDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea.ORCID https://orcid.org/0000-0003-4467-0949
Jung Eun KimDepartment of Dermatology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. mdkjeun@naver.com.ORCID https://orcid.org/0000-0003-1670-0995

Funding

National Research Foundation of Korea 2020R1F1A1073692National Research Foundation of Korea NRF-2022R1A2C1010554
6 · The paper itself

Abstract

backgroundAtopic dermatitis (AD) is a chronic inflammatory cutaneous disorder, that emerges from intricate interplays among genetic predisposition, immune dysregulation, environmental factors, and compromised skin barrier. Understanding the inflammatory pathway in AD is important due to its fundamental role in the pathogenesis of AD. This study aimed to explore the diverse spectrum of proteins linked to the inflammation of AD and the relationship between systemic biomarkers and clinical severity in AD.

methodsWe examined the blood samples from 48 patients with AD and 48 healthy controls (HCs) using the Proximity Extension Assay (Olink). Differentially expressed proteins (DEPs) were identified and Pearson correlation analysis was conducted to determine systemic proteomic biomarkers associated with severity of AD.

resultsA total of 29 DEPs were significantly up-regulated and 2 DEPs were significantly down-regulated in AD compared with the HC. The MCP-4, IL-18, MCP-3, TNFRSF9, and IL-17C were the top 5 highest DEPs associated with the severity of AD.

conclusionOur study sheds light on the intricate network of inflammatory proteins in AD and their potential implications for disease severity. Our results indicate that these systemic inflammatory proteins could be valuable for assessing AD severity and enhancing our understanding of the disease's complexity and its potential management strategies.

Indexed as

BiomarkersDermatitis, AtopicProteomicsSeverity of Illness IndexAdolescentAdultCase-Control StudiesFemaleHumansInflammationMaleMiddle AgedYoung AdultBiomarkersAtopic DermatitisBiomarkerInflammationProteomicsSeverity

Identifiers

PMID39137810
PMCPMC11319106

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.