Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole‐Blood RNA Transcriptome
Fuente:
Wiley Open Access
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , , , |
|---|---|
| Format: | Artículo Open Access |
| Veröffentlicht: |
Wiley
2026
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1867014633317990400 |
|---|---|
| author | Amala Ambati Feiyang Ma Katarina Kmetova Sherwin Navaz Claire K. Hoy Cyrus Sarosh Ajay Tambralli Erika Navarro‐Mendoza Johann E. Gudjonsson J. Michelle Kahlenberg Jacqueline A. Madison Alí Duarte‐García Jason S. Knight Yu Zuo |
| author_facet | Amala Ambati Feiyang Ma Katarina Kmetova Sherwin Navaz Claire K. Hoy Cyrus Sarosh Ajay Tambralli Erika Navarro‐Mendoza Johann E. Gudjonsson J. Michelle Kahlenberg Jacqueline A. Madison Alí Duarte‐García Jason S. Knight Yu Zuo Amala Ambati Feiyang Ma Katarina Kmetova Sherwin Navaz Claire K. Hoy Cyrus Sarosh Ajay Tambralli Erika Navarro‐Mendoza Johann E. Gudjonsson J. Michelle Kahlenberg Jacqueline A. Madison Alí Duarte‐García Jason S. Knight Yu Zuo |
| collection | Wiley Open Access |
| contents | Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole‐Blood RNA Transcriptome Amala Ambati Feiyang Ma Katarina Kmetova Sherwin Navaz Claire K. Hoy Cyrus Sarosh Ajay Tambralli Erika Navarro‐Mendoza Johann E. Gudjonsson J. Michelle Kahlenberg Jacqueline A. Madison Alí Duarte‐García Jason S. Knight Yu Zuo Arthritis & Rheumatology Objective Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinical and mechanistic heterogeneity that complicates early diagnosis and hinders targeted treatment. We aimed to identify distinct molecular endotypes among antiphospholipid antibody (aPL)–positive patients using whole‐blood transcriptomics. Methods Whole‐blood RNA sequencing was performed on 174 aPL‐positive patients, including those with primary APS (n = 102), secondary APS (n = 29), and aPL positivity without classifiable APS (n = 43). Unsupervised machine learning and immune cell deconvolution defined transcriptomic clusters and immune landscapes. Results Four transcriptionally distinct clusters were identified. At one end of the spectrum, cluster 1 showed up‐regulation of ribosomal and metabolic pathways and down‐regulation of mechanistic target of rapamycin (mTOR), NETosis, and Hippo/interleukin‐6 (IL‐6) signaling. In contrast, cluster 4 exhibited the opposite pattern, with strong up‐regulation of mTOR, NETosis, and Hippo/IL‐6 signaling. Cluster 2 demonstrated modest enrichment in messenger RNA processing and amino acid metabolism, and cluster 3 showed biosynthetic suppression with mild Hippo/IL‐6 activation. Clinically, cluster 4 stood out with higher IgG anticardiolipin and anti–β 2 ‐glycoprotein I positivity, elevated neutrophil counts, and increased urine protein‐to‐creatinine ratios. Immune deconvolution revealed distinct cell type profiles: cluster 1 was lymphoid predominant; cluster 2 had a balanced composition; cluster 3 was enriched in Treg cells, natural killer cells, macrophages, mast cells, and memory B cells; and cluster 4 was dominated by myeloid cells, including neutrophils, eosinophils, and dendritic cells. Distinct immune pathway activations were linked to clinical features, including white matter lesions, seizures, and cardiac valve disease. Conclusion This study reveals four endotypes of aPL‐positive patients, a step toward personalized medicine for APS through pathway‐informed stratification and therapy. 10.1002/art.70021 http://creativecommons.org/licenses/by/4.0/ |
| doi_str_mv | 10.1002/art.70021 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_art_70021 |
| institution | Wiley Open Access |
| license_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| publishDate | 2026 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole‐Blood RNA Transcriptome Amala Ambati Feiyang Ma Katarina Kmetova Sherwin Navaz Claire K. Hoy Cyrus Sarosh Ajay Tambralli Erika Navarro‐Mendoza Johann E. Gudjonsson J. Michelle Kahlenberg Jacqueline A. Madison Alí Duarte‐García Jason S. Knight Yu Zuo Arthritis & Rheumatology Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole‐Blood RNA Transcriptome Amala Ambati Feiyang Ma Katarina Kmetova Sherwin Navaz Claire K. Hoy Cyrus Sarosh Ajay Tambralli Erika Navarro‐Mendoza Johann E. Gudjonsson J. Michelle Kahlenberg Jacqueline A. Madison Alí Duarte‐García Jason S. Knight Yu Zuo Arthritis & Rheumatology Objective Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinical and mechanistic heterogeneity that complicates early diagnosis and hinders targeted treatment. We aimed to identify distinct molecular endotypes among antiphospholipid antibody (aPL)–positive patients using whole‐blood transcriptomics. Methods Whole‐blood RNA sequencing was performed on 174 aPL‐positive patients, including those with primary APS (n = 102), secondary APS (n = 29), and aPL positivity without classifiable APS (n = 43). Unsupervised machine learning and immune cell deconvolution defined transcriptomic clusters and immune landscapes. Results Four transcriptionally distinct clusters were identified. At one end of the spectrum, cluster 1 showed up‐regulation of ribosomal and metabolic pathways and down‐regulation of mechanistic target of rapamycin (mTOR), NETosis, and Hippo/interleukin‐6 (IL‐6) signaling. In contrast, cluster 4 exhibited the opposite pattern, with strong up‐regulation of mTOR, NETosis, and Hippo/IL‐6 signaling. Cluster 2 demonstrated modest enrichment in messenger RNA processing and amino acid metabolism, and cluster 3 showed biosynthetic suppression with mild Hippo/IL‐6 activation. Clinically, cluster 4 stood out with higher IgG anticardiolipin and anti–β 2 ‐glycoprotein I positivity, elevated neutrophil counts, and increased urine protein‐to‐creatinine ratios. Immune deconvolution revealed distinct cell type profiles: cluster 1 was lymphoid predominant; cluster 2 had a balanced composition; cluster 3 was enriched in Treg cells, natural killer cells, macrophages, mast cells, and memory B cells; and cluster 4 was dominated by myeloid cells, including neutrophils, eosinophils, and dendritic cells. Distinct immune pathway activations were linked to clinical features, including white matter lesions, seizures, and cardiac valve disease. Conclusion This study reveals four endotypes of aPL‐positive patients, a step toward personalized medicine for APS through pathway‐informed stratification and therapy. 10.1002/art.70021 http://creativecommons.org/licenses/by/4.0/ |
| title | Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole‐Blood RNA Transcriptome |
| topic | Arthritis & Rheumatology |
| url | https://acrjournals.onlinelibrary.wiley.com/doi/10.1002/art.70021 |