Evidence map›Paper›PMID 38410598›Full record

ArticleJournal of thoracic disease2024

Serum proteomics identifies novel diagnostic biomarkers for asthma in preschool children.

Hui Ding, Zhaoling Shi, Haibo Lin, Yuan Sun, Lu Zhang, Feiyan Liu, Xuelin Wang, Zhihong Zhang, Guocheng Zhang

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Hui Ding *Department of Pediatrics, Children's Hospital, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
Zhaoling Shi *Department of Pediatrics, Children's Hospital, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
Haibo LinDepartment of Pediatrics, Children's Hospital, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
Yuan SunDepartment of Pediatrics, Children's Hospital, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
Lu ZhangDepartment of Pediatrics, Children's Hospital, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
Feiyan LiuDepartment of Pediatrics, Children's Hospital, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
Xuelin WangDepartment of Pediatrics, Children's Hospital, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
Zhihong ZhangDepartment of Pediatrics, Children's Hospital, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
Guocheng ZhangDepartment of Pediatrics, Children's Hospital, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
Affiliated Hospital of Shaanxi University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Asthma is characterized by airway hyperresponsiveness, reversible airway obstruction, and chronic airway inflammation. It is the most common chronic disease in childhood. However, the diagnosis of childhood asthma remains challenging, and there is an urgent need to develop new diagnostic methods. Methods: To identify biomarkers of asthma in children, we adopted the Orbitrap-based data-independent acquisition (DIA) mass spectrometry proteomics method to analyze the serum proteomic signatures of children with acute asthma and convalescent children. Results: We identified 747 proteins in 46 serum samples and 50 differentially expressed proteins (DEPs) that distinguished between asthmatic and healthy children. Next, functional enrichment analysis of the DEPs was conducted, it was indicated that the DEPs were significantly enriched in immune-related and function terms and pathways. Furthermore, we performed statistical analysis and identified MMP14, ABHD12B, PCYOX1, LTBP1, CFHR4, APOA1, IGHG4, ANG and IGFALS proteins as the diagnostic biomarker candidates. Ultimately, a promising asthma diagnostic model for preschool children based on IGFALS was built and evaluated. The area under the curve (AUC) of the IGFALS model was 0.959. Conclusions: In this study, the DIA proteome strategy was used and the largest number of proteins of asthmatic children serum proteomics was identified. The proteomics results showed that the DEPs play the central role of the inflammation-immune mechanism in asthma pathogenesis, suggesting that these proteins may be used in asthma diagnosis, prognosis, or therapy, and suggested biomarkers for asthma of preschool children. In conclusion, our results provide insight into the pathophysiology of asthma. We believe that the diagnostic model will facilitate clinical decision-making regarding asthma in preschool children.

Indexed as

Asthmabiomarkerpreschool childrenserum proteomics

Identifiers

PMID38410598
PMCPMC10894366
OpenAlexW4391352861

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.