Evidence map›Paper›PMID 32901873›Full record

ArticleMolecular medicine reports2020

iTRAQ‑based proteomic analysis reveals potential regulatory networks in dust mite‑related asthma treated with subcutaneous allergen immunotherapy.

Jun Bai, Jia-Yong Zhong, Wang Liao, Ruo Hu, Liang Chen, Xian-Jin Wu, Shuang-Ping Liu

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2020. 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
0.6field-weighted citation impact, top 35% 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, 10 citations in OpenAlex.

  1. Article
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  6. Current Insights on the Impact of Proteomics in Respiratory Allergies.International journal of molecular sciences · 2022
    Review
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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

7 authors at 6 institutions in 1 country.

Jun BaiDepartment of Pediatrics, Foshan Maternal and Children's Hospital Affiliated to Southern Medical University, Foshan, Guangdong 528000, P.R. China.
Jia-Yong ZhongInstitute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China.
Wang LiaoDepartment of Pediatrics, Foshan Maternal and Children's Hospital Affiliated to Southern Medical University, Foshan, Guangdong 528000, P.R. China.
Ruo HuSchool of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong 510000, P.R. China.
Liang ChenDepartment of Pediatrics, Foshan Maternal and Children's Hospital Affiliated to Southern Medical University, Foshan, Guangdong 528000, P.R. China.
Xian-Jin WuKey Laboratory of Research and Utilization of Ethnomedicinal Plant Resources of Hunan Province, Key Laboratory of Hunan Higher Education for Western Hunan Medicinal Plant and Ethnobotany, College of Biological and Food Engineering, Huaihua University, Huaihua, Hunan 418008, P.R. China.
Shuang-Ping LiuChronic Disease Research Center, Medical College, Dalian University, Dalian, Liaoning 116622, P.R. China.
Southern Medical University · CNDalian University · CNFoshan Maternity and Child Health Care Hospital · CNGuangdong Polytechnic Normal University · CNGuangzhou Medical University · CNHuaihua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is one of the most common childhood chronic diseases worldwide. Subcutaneous immunotherapy (SCIT) is commonly used in the treatment of house dust mite (HDM)‑related asthma in children. However, the therapeutic mechanism of SCIT in asthma remains unclear. The present study aimed to investigate the molecular biomarkers associated with HDM‑related asthma in asthmatic children prior and subsequent to SCIT treatment compared with those in healthy children via proteomic analysis. The study included a control group (30 healthy children), ‑Treatment group (30 children with HDM‑related allergic asthma) and +Treatment group (30 children with HDM‑related allergic asthma treated with SCIT). An isobaric labeling with relative and absolute quantification‑based method was used to analyze serum proteome changes to detect differentially expressed proteins, while functional enrichment and protein‑protein interaction network analysis were used to select candidate biomarkers. A total of 72 differentially expressed proteins were detected in the ‑Treatment, +Treatment and control groups. A total of 33 and 57 differentially expressed proteins were observed in the ‑Treatment vs. control and +Treatment vs. control groups, respectively. Through bioinformatics analysis, 5 candidate proteins [keratin 1 (KRT1), apolipoprotein B (APOB), fibronectin 1, antithrombin III (SERPINC1) and α‑1‑antitrypsin (SERPINA1)] were selected for validation by western blotting; among them, 4 proteins (KRT1, APOB, SERPINC1 and SERPINA1) showed robust reproducibility in asthma and control samples. This study illustrated the changes in proteome regulation following SCIT treatment for asthma. The 4 identified proteins may serve as potential biomarkers prior and subsequent to SCIT treatment, and help elucidate the molecular regulation mechanisms of SCIT to treat HDM‑related asthma.

Indexed as

alpha 1-AntitrypsinAnimalsAntithrombin IIIApolipoprotein B-100AsthmaBiomarkersCase-Control StudiesChildChild, PreschoolComputational BiologyDesensitization, ImmunologicDustFemaleFibronectinsGene Expression RegulationGene Regulatory Networksalpha 1-AntitrypsinAntithrombin IIIAPOB protein, humanApolipoprotein B-100BiomarkersDustFibronectinsFN1 protein, humanKeratin-1KRT1 protein, humanSERPINA1 protein, humanSERPINC1 protein, human

Identifiers

PMID32901873
PMCPMC7533450
OpenAlexW3082908469

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.