ArticleInternational journal of molecular sciences2024
Deciphering Abnormal Platelet Subpopulations in COVID-19, Sepsis and Systemic Lupus Erythematosus through Machine Learning and Single-Cell Transcriptomics.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- PAD Score: A Clinical Prediction Tool for Disseminated Intravascular Coagulation in Placental Abruption.Journal of clinical medicine · 2026Article
- Methodological and Pathophysiological Considerations in Obesity-Associated Thrombosis.International journal of molecular sciences · 2026Review
- Pregnancy-Associated Thrombotic Thrombocytopenic Purpura: Diagnostic Pitfalls, Therapeutic Strategies, and Emerging Paradigms.Biomedicines · 2026Review
- Characterizing mouse platelet heterogeneity across diverse disease models using spectral flow cytometry and high-dimensional analysis.Research and practice in thrombosis and haemostasis · 2026Article
- Drug Discovery from Gene Expression/Gene Regulation.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Whole transcriptome analysis reveals T cell signaling activation in septic patients with thrombocytopenia.Scientific reports · 2025Article
- Review
- Longitudinal gene expression analysis in COVID-19 sepsis highlights dynamic immune, cellular, and metabolic dysfunction in high severity patients.Scientific reports · 2025Article
- Blood pro-thrombotic analytes and platelet activation are associated with post-acute sequelae of COVID-19.BMC infectious diseases · 2025Observational
- Does Platelet Transcriptome Dysregulation Across the Lewy Body Continuum Mirror Neuronal Dysfunction?International journal of molecular sciences · 2025Article
- Beyond Thrombopoiesis: The Immune Functions of Megakaryocytes in Bacterial Infections and Sepsis.International journal of molecular sciences · 2025Review
- Insights into the Use of Erythrocyte and Platelet Distribution Indices for Assessing the Extent of Coronary Lesions.Medicina (Kaunas, Lithuania) · 2025Observational
- Prediction of Hyperinflammatory Phenotypes in Critically Ill Patients via Routine Clinical Data and IL-6: Towards Personalized Anti-Inflammatory Therapy.International journal of molecular sciences · 2025Article
- Distinct platelet transcriptomic heterogeneity in respiratory illnesses and modulation by corticosteroids and immune antibody treatments.Journal of translational medicine · 2025Article
- Effect of Platelet-Derived Microparticles on the Expression of Adhesion Molecules in Endothelial Cells.International journal of molecular sciences · 2025Article
- Immunothrombosis in Sepsis: Cellular Crosstalk, Molecular Triggers, and Therapeutic Opportunities-A Review.International journal of molecular sciences · 2025Review
- Deciphering the Complex Relationships Between the Hemostasis System and Infective Endocarditis.Journal of clinical medicine · 2025Review
- Impact of Immunosuppression on Immune Cell Dynamics in COVID-19: A Serial Comparison of Leukocyte Data in Healthy and Immunocompromised Patients Before and After Infection.Journal of clinical medicine · 2025Article
- Hematological Markers in Thromboembolic Events: A Comparative Study of COVID-19 and Non-COVID-19 Hospitalized Patients.Journal of clinical medicine · 2025Article
- The Relationship Between Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Systemic Immune-Inflammation Index Markers and Response to Biological Therapy in Patients with Psoriasis.International journal of molecular sciences · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
This study focuses on understanding the transcriptional heterogeneity of activated platelets and its impact on diseases such as sepsis, COVID-19, and systemic lupus erythematosus (SLE). Recognizing the limited knowledge in this area, our research aims to dissect the complex transcriptional profiles of activated platelets to aid in developing targeted therapies for abnormal and pathogenic platelet subtypes. We analyzed single-cell transcriptional profiles from 47,977 platelets derived from 413 samples of patients with these diseases, utilizing Deep Neural Network (DNN) and eXtreme Gradient Boosting (XGB) to distinguish transcriptomic signatures predictive of fatal or survival outcomes. Our approach included source data annotations and platelet markers, along with SingleR and Seurat for comprehensive profiling. Additionally, we employed Uniform Manifold Approximation and Projection (UMAP) for effective dimensionality reduction and visualization, aiding in the identification of various platelet subtypes and their relation to disease severity and patient outcomes. Our results highlighted distinct platelet subpopulations that correlate with disease severity, revealing that changes in platelet transcription patterns can intensify endotheliopathy, increasing the risk of coagulation in fatal cases. Moreover, these changes may impact lymphocyte function, indicating a more extensive role for platelets in inflammatory and immune responses. This study identifies crucial biomarkers of platelet heterogeneity in serious health conditions, paving the way for innovative therapeutic approaches targeting platelet activation, which could improve patient outcomes in diseases characterized by altered platelet function.
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