Evidence map›Paper›PMID 35948326›Full record

ArticleAnnals of dermatology2022

Serum Ceruloplasmin as a Potential Clinical Biomarker in Atopic Dermatitis.

Youin Bae, Seong-Jin Kim

Open access · diamondAbstract read
In one paragraph

Article in Annals of dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

2 authors at 2 institutions in 2 countries.

Youin BaeDepartment of Dermatology, Hallym University Dongtan Sacred Heart Hospital, College of Medicine, Hallym University, Hwaseong, Korea.ORCID https://orcid.org/0000-0003-3184-7960
Seong-Jin KimDepartment of Dermatology, Chonnam National University Medical School, Gwangju, Korea. seongkim@chonnam.ac.kr.ORCID https://orcid.org/0000-0001-9701-0632
Chonnam National University Hospital · KRSacred Heart Hospital · US

Funding

National Research Foundation of Korea 2019R1G1A1099307
6 · The paper itself

Abstract

backgroundAlthough the discovery of new biomarkers in atopic dermatitis (AD) is challenging, it is valuable in diagnosis, assessment of severity, and evaluation of treatment response.

objectiveThis study was designed to identify and validate new candidate protein biomarkers of AD via proteomic analysis.

methodsComparison of protein expression in the patients' serum before- and after-treatment and in patients without AD was performed via two-dimensional gel electrophoresis (2-DE), followed by image analysis. Spots showing differential expression in 2-DE image analysis were identified subsequently via nanoscale liquid chromatography-tandem mass spectrometry (LC-MS/MS) experiments. Blood tests were conducted to validate the results obtained by measuring the levels of candidate proteins.

resultsBased on LC-MS/MS analysis and database search, we identified ceruloplasmin (Cp) as a candidate protein. Serum Cp levels were significantly decreased in in pre-treated AD group than in control group. Additionally, the serum Cp level was higher in the mild group than in the moderate group of AD based on the Eczema Area and Severity Index (EASI) score.

conclusionLow serum Cp levels are associated with AD, suggesting the potential role of Cp as a biomarker for diagnosis and severity assessment of AD.

Indexed as

Atopic dermatitisCeruloplasminMass spectrometryProteomics

Identifiers

PMID35948326
PMCPMC9365656
OpenAlexW4289139329

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.