Evidence map›Paper›PMID 33194371›Full record

ArticlePeerJ2020

Differentially expressed serum proteins in children with or without asthma as determined using isobaric tags for relative and absolute quantitation proteomics.

Ming Li, Mingzhu Wu, Ying Qin, Huaqing Liu, Chengcheng Tu, Bing Shen, Xiaohong Xu, Hongbo Chen

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Current Insights on the Impact of Proteomics in Respiratory Allergies.International journal of molecular sciences · 2022
    Review
  8. Article
  9. Article
  10. 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

8 authors at 1 institution in 1 country.

Ming Li *Department of Neonatology, Maternal and Child Health Hospital, the Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Mingzhu Wu *Department of Obstetrics and Gynecology, Maternal and Child Health Hospital, the Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Ying QinSchool of Basic Medicine, Anhui Medical University, Hefei, Anhui, China.
Huaqing LiuDepartment of Neonatology, Maternal and Child Health Hospital, the Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Chengcheng TuDepartment of Obstetrics and Gynecology, Maternal and Child Health Hospital, the Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Bing ShenSchool of Basic Medicine, Anhui Medical University, Hefei, Anhui, China.
Xiaohong XuDepartment of Clinical Laboratory, Maternal and Child Health Hospital, the Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Hongbo ChenDepartment of Obstetrics and Gynecology, Maternal and Child Health Hospital, the Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough asthma is one of the most common chronic, noncommunicable diseases worldwide, the pathogenesis of childhood asthma is not yet clear. Genetic factors and environmental factors may lead to airway immune-inflammation responses and an imbalance of airway nerve regulation. The aim of the present study was to determine which serum proteins are differentially expressed between children with or without asthma and to ascertain the potential roles that these differentially expressed proteins (DEPs) may play in the pathogenesis of childhood asthma.

methodsSerum samples derived from four children with asthma and four children without asthma were collected. The DEPs were identified by using isobaric tags for relative and absolute quantitation (iTRAQ) combined with liquid chromatography tandem mass spectrometry (LC-MS/MS) analyses. Using biological information technology, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Cluster of Orthologous Groups of Proteins (COG) databases and analyses, we determined the biological processes associated with these DEPs. Key protein glucose-6-phosphate dehydrogenase (G6PD) was verified by enzyme linked immunosorbent assay (ELISA).

resultsWe found 46 DEPs in serum samples of children with asthma vs. children without asthma. Among these DEPs, 12 proteins were significantly (>1.5 fold change) upregulated and 34 proteins were downregulated. The results of GO analyses showed that the DEPs were mainly involved in binding, the immune system, or responding to stimuli or were part of a cellular anatomical entity. In the KEGG signaling pathway analysis, most of the downregulated DEPs were associated with cardiomyopathy, phagosomes, viral infections, and regulation of the actin cytoskeleton. The results of a COG analysis showed that the DEPs were primarily involved in signal transduction mechanisms and posttranslational modifications. These DEPs were associated with and may play important roles in the immune response, the inflammatory response, extracellular matrix degradation, and the nervous system. The downregulated of G6PD in the asthma group was confirmed using ELISA experiment.

conclusionAfter bioinformatics analyses, we found numerous DEPs that may play important roles in the pathogenesis of childhood asthma. Those proteins may be novel biomarkers of childhood asthma and may provide new clues for the early clinical diagnosis and treatment of childhood asthma.

Indexed as

Children with asthmaiTRAQLC-MC/MSPathogenesisProteomics

Identifiers

PMID33194371
PMCPMC7646293
OpenAlexW3097785362

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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.