Proteomic analysis reveals potential therapeutic targets for childhood asthma through Mendelian randomization Article Swipe
Yiqing Wu
,
Yixin Cai
,
Xiaoli Chen
,
Shang‐Qin Chen
,
Xiu‐Feng Huang
,
Zhenlang Lin
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/clt2.12357
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/clt2.12357
Background Asthma is the most common chronic disease among children and poses a significant threat to their health. This study aims to assess the relationship between various plasma proteins and childhood asthma, thereby identifying potential therapeutic targets. Methods Based on publicly available genome‐wide association study summary statistics, we employed a two‐sample Mendelian randomization (MR) approach to elucidate the causal relationship between plasma proteins and asthma. Mediation analysis was then conducted to evaluate the indirect influence of plasma proteins on childhood asthma mediated through risk factors. Comprehensive analysis was also conducted to explore the association between plasma proteins and various phenotypes using the UK Biobank dataset. Results MR analysis uncovered a causal relationship between 10 plasma proteins and childhood asthma. Elevated levels of seven proteins (TLR4, UBP25, CBR1, Rac GTPase‐activating protein 1 [RGAP1], IL‐21, MICB, and PDE4D) and decreased levels of three proteins (GSTO1, LIRB4 and PIGF) were associated with an increased risk of childhood asthma. Our findings further validated the connections between reported risk factors (body mass index, mood swings, hay fever or allergic rhinitis, and eczema or dermatitis) and childhood asthma. Mediation analysis revealed the influence of proteins on childhood asthma outcomes through risk factors. Furthermore, the MR analysis identified 73 plasma proteins that exhibited causal associations with at least one risk factor for childhood asthma. Among them, RGAP1 mediates a significant proportion (25.10%) of the risk of childhood asthma through eczema or dermatitis. Finally, a phenotype‐wide association study based on these 10 proteins and 1403 diseases provided novel associations between these biomarkers and multiple phenotypes. Conclusion Our study comprehensively investigated the causal relationship between plasma proteins and childhood asthma, providing novel insights into potential therapeutic targets.
Related Topics
Concepts
Mendelian randomization
Medicine
Asthma
Mendelian inheritance
Bioinformatics
Computational biology
Immunology
Genetics
Biology
Gene
Genotype
Genetic variants
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/clt2.12357
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/clt2.12357
- OA Status
- gold
- Cited By
- 4
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396831387
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396831387Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/clt2.12357Digital Object Identifier
- Title
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Proteomic analysis reveals potential therapeutic targets for childhood asthma through Mendelian randomizationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-05-01Full publication date if available
- Authors
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Yiqing Wu, Yixin Cai, Xiaoli Chen, Shang‐Qin Chen, Xiu‐Feng Huang, Zhenlang LinList of authors in order
- Landing page
-
https://doi.org/10.1002/clt2.12357Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/clt2.12357Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/clt2.12357Direct OA link when available
- Concepts
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Mendelian randomization, Medicine, Asthma, Mendelian inheritance, Bioinformatics, Computational biology, Immunology, Genetics, Biology, Gene, Genotype, Genetic variantsTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 2, 2024: 2Per-year citation counts (last 5 years)
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48Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.GTPase‐activating | 129 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5076668990, https://openalex.org/A5088437190 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I27781120, https://openalex.org/I4210089684, https://openalex.org/I4210099512, https://openalex.org/I4210108865 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.84769837 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |