Adults with Systemic Lupus Exhibit Distinct Molecular Phenotypes Associated with Clinical Disease Activity
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA575903 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Background: The clinical and pathologic diversity of systemic lupus erythematosus (SLE) has hindered diagnosis, management, and treatment development. This study clustered adult SLE patients through comprehensive molecular phenotyping to improve distinctions with prognostic and therapeutic relevance. Methods: Plasma, serum, and RNA were collected from 198 adult SLE patients. Disease activity was scored by modified SELENA-SLEDAI. Twenty-nine co-expression module scores were calculated from microarray gene-expression data. Plasma soluble mediators (n=23) and autoantibodies (n=13) were assessed by multiplex bead-based assays and ELISAs. Phenotypic patient clusters were identified by machine learning combining K-means clustering and random forest analysis of co-expression module scores and soluble mediators. Findings: SLEDAI scores correlated strongly with interferon module scores, more modestly with plasma cell and select cell cycle modules, and with circulating IFNα, IL21, IL1α, IL17A, IP10, and MIG levels. Co-expression modules and soluble mediators differentiated seven clusters of SLE patients with unique molecular phenotypes. Inflammation and interferon modules were elevated in Clusters 1 (moderately) and 4 (strongly), with decreased T cell modules in Cluster 4. The other clusters differed in monocyte, neutrophil, plasmablast, B cell, and T cell modules. Clusters 1 and 4 had higher SLEDAI scores, and more frequent anti-dsDNA, low complement, and renal activity. These features were also prominent in Cluster 3, which lacked the interferon and inflammation signatures. Arthritis and rashes were common in all clusters. Interpretation: Molecular profiles can distinguish SLE subsets. Prospective longitudinal studies of these profiles may help to improve prognostic evaluation, clinical trial design, and precision medicine approaches.
2020-03-16 | GSE138458 | GEO
Project description:Systemic lupus erythematosous (SLE) is an autoimmune disease with an important clinical and biological heterogeneity. B lymphocytes appear central to the development of SLE which is characterized by the production of a large variety of autoantibodies and hypergammaglobulinemia. In mice, immature B cells from spontaneous lupus prone animals are able to produce autoantibodies when transferred into immunodeficient mice, strongly suggesting the existence of intrinsic B cell defects during lupus. In order to approach these defects in humans, we compared the peripheral B cell transcriptomes of quiescent lupus patients to normal B cell transcriptomes. 17 patients with quiescent lupus (patient1-17) versus 9 controls (Control1-6,Control8-10).
2011-06-23 | E-GEOD-30153 | biostudies-arrayexpress
Project description:BackgroundThe clinical and pathologic diversity of systemic lupus erythematosus (SLE) hinders diagnosis, management, and treatment development. This study addresses heterogeneity in SLE through comprehensive molecular phenotyping and machine learning clustering.MethodsAdult SLE patients (n = 198) provided plasma, serum, and RNA. Disease activity was scored by modified SELENA-SLEDAI. Twenty-nine co-expression module scores were calculated from microarray gene-expression data. Plasma soluble mediators (n = 23) and autoantibodies (n = 13) were assessed by multiplex bead-based assays and ELISAs. Patient clusters were identified by machine learning combining K-means clustering and random forest analysis of co-expression module scores and soluble mediators.FindingsSLEDAI scores correlated with interferon, plasma cell, and select cell cycle modules, and with circulating IFN-α, IP10, and IL-1α levels. Co-expression modules and soluble mediators differentiated seven clusters of SLE patients with unique molecular phenotypes. Inflammation and interferon modules were elevated in Clusters 1 (moderately) and 4 (strongly), with decreased T cell modules in Cluster 4. Monocyte, neutrophil, plasmablast, B cell, and T cell modules distinguished the remaining clusters. Active clinical features were similar across clusters. Clinical SLEDAI trended highest in Clusters 3 and 4, though Cluster 3 lacked strong interferon and inflammation signatures. Renal activity was more frequent in Cluster 4, and rare in Clusters 2, 5, and 7. Serology findings were lowest in Clusters 2 and 5. Musculoskeletal and mucocutaneous activity were common in all clusters.InterpretationMolecular profiles distinguish SLE subsets that are not apparent from clinical information. Prospective longitudinal studies of these profiles may help improve prognostic evaluation, clinical trial design, and precision medicine approaches.FundingUS National Institutes of Health.
| S-EPMC7058913 | biostudies-literature
Project description:Mass spectrometry analysis of cellular targets of protein degradation in PBMCs of healthy individuals and systemic lupus
2018-10-11 | PXD009112 | Pride
Project description:The experiment consists of 31 Systemic Lupus Erythematosus patient blood samples and 29 healthy donor blood samples.
2018-03-21 | GSE112087 | GEO
Project description:Systemic lupus erythematosous (SLE) is an autoimmune disease with an important clinical and biological heterogeneity. B lymphocytes appear central to the development of SLE which is characterized by the production of a large variety of autoantibodies and hypergammaglobulinemia. In mice, immature B cells from spontaneous lupus prone animals are able to produce autoantibodies when transferred into immunodeficient mice, strongly suggesting the existence of intrinsic B cell defects during lupus. In order to approach these defects in humans, we compared the peripheral B cell transcriptomes of quiescent lupus patients to normal B cell transcriptomes.
2011-06-23 | GSE30153 | GEO
Project description:To screen specific DNA methylation markers in systemic lupus erythematosus (SLE) patient's blood DNA, whole-blood DNAs from 6 female SLE patients and 6 female controls were analyzed by methylation microarray.
2016-12-27 | GSE57869 | GEO
Project description:The gold standard for diagnosing lupus nephritis, one of the common symptoms of systemic lupus erythematosus, is an invasive procedure, a Renal biopsy. To overcome the risk of invasive methods, we constructed a spectral library using biological samples that can be obtained non-invasively and analyzed it using the SWATH-MS method, a quantitative proteomic analysis.
2023-10-24 | PXD040099 | Pride
Project description:Gut microbiota in systemic lupus erythematosus
| PRJEB52971 | ENA