Immune status assessment based on plasma proteomics with meta graph convolutional networks Article Swipe
Min Zhang
,
Nan Xu
,
Qi Cheng
,
Jing Ye
,
Shiwei Wu
,
Haoliang Liu
,
Chengkui Zhao
,
Lei Yu
,
Weixing Feng
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1186/s12864-025-11537-6
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1186/s12864-025-11537-6
Plasma proteins, especially immune-related proteins, are vital for assessing immune health and predicting disease risks. Despite their significance, the link between these proteins and systemic immune function remains unclear. To bridge this gap, researchers developed ProMetaGCN, a model integrating meta-learning, graph convolutional networks, and protein-protein interaction (PPI) data to evaluate immune status via plasma proteomics. This framework identified 309 immune-related factors with associated biological functions and pathways. Using six machine learning methods, four algorithms (Random Forest, LightGBM, XGBoost, Lasso) were selected for immune profiling and aging analysis, revealing ADAMTS13, GDF15, and SERPINF2 as key biomarkers. Validation across two COVID-19 cohorts confirmed the model's robustness, showing immune status correlates with infection progression and recovery. Furthermore, the study proposed ImmuneAgeGap, a novel metric linking immune profiles to survival rates in non-small-cell lung cancer (NSCLC) patients. These insights advance personalized immune health strategies and disease prevention.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s12864-025-11537-6
- https://bmcgenomics.biomedcentral.com/counter/pdf/10.1186/s12864-025-11537-6
- OA Status
- gold
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409338687
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409338687Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s12864-025-11537-6Digital Object Identifier
- Title
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Immune status assessment based on plasma proteomics with meta graph convolutional networksWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-10Full publication date if available
- Authors
-
Min Zhang, Nan Xu, Qi Cheng, Jing Ye, Shiwei Wu, Haoliang Liu, Chengkui Zhao, Lei Yu, Weixing FengList of authors in order
- Landing page
-
https://doi.org/10.1186/s12864-025-11537-6Publisher landing page
- PDF URL
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https://bmcgenomics.biomedcentral.com/counter/pdf/10.1186/s12864-025-11537-6Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://bmcgenomics.biomedcentral.com/counter/pdf/10.1186/s12864-025-11537-6Direct OA link when available
- Concepts
-
Proteomics, Biology, Immune system, Computational biology, DNA microarray, Meta-analysis, Bioinformatics, Immunology, Genetics, Gene, Internal medicine, Medicine, Gene expressionTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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36Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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