ArticleFrontiers in immunology2022
Combined Single Cell Transcriptome and Surface Epitope Profiling Identifies Potential Biomarkers of Psoriatic Arthritis and Facilitates Diagnosis
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Single-cell transcriptome landscape of circulating CD4Cell genomics · 2024Pooled it
- Epidermal Dominance of Metabolically Constrained Immune Niches Underpins Immune Activation Signatures and Clinical Severity in Psoriatic Disease.Immunology · 2026Article
- From drug mechanism-based to driver-guided therapy: targeting disease drivers in psoriatic arthritis.EULAR rheumatology open · 2026Review
- A Systemic Immune State Axis Distinguishes Psoriatic Arthritis from Psoriasis.International journal of molecular sciences · 2026Article
- Immunological differences in atopic dermatitis across age groups: insights from single-cell multi-omics.Journal of translational medicine · 2026Article
- Platelet-neutrophil niches associate with epidermal immune activation and systemic inflammation in psoriatic disease.Journal of molecular medicine (Berlin, Germany) · 2026Article
- Multidimensional single-cell analysis reveals immune dysfunction and inflammatory response in lymphatic malformations.Protein & cell · 2026Article
- ImmunoPheno: A Computational Framework for Data-Driven Design and Analysis of Immunophenotyping Experiments.bioRxiv : the preprint server for biology · 2026Article
- Spatial Imbalance of Innate-like T-Cell Niches Underlies Clinical Trajectories in Psoriasis.International journal of molecular sciences · 2026Article
- Skin-derived myeloid precursors and joint-resident fibroblasts spread psoriatic disease from skin to joints.Nature immunology · 2026Article
- Revealing the role of natural killer cells in ankylosing spondylitis: identifying diagnostic biomarkers and therapeutic targets.Annals of medicine · 2025Article
- Immune-cell profiling to guide stratification and treatment of patients with rheumatic diseases.Nature reviews. Rheumatology · 2025Review
- Single-cell transcriptional landscape of peripheral myeloid cells in autoimmune diseases.iScience · 2025Article
- Assessment of gene signatures following the inhibition of IL-23: a study to evaluate the mechanistic effects behind the clinical efficacy of guselkumab in patients with psoriatic arthritis.Frontiers in immunology · 2025Article
- Single-cell RNA sequencing of circulating immune cells supports inhibition ofFrontiers in immunology · 2025Article
- Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.Frontiers in immunology · 2025Article
- Review
- Cellular indexing of transcriptomes and epitopes (CITE-Seq) in hidradenitis suppurativa identifies dysregulated cell types in peripheral blood and facilitates diagnosis via machine learning.Research square · 2024Article
- Advancing Psoriasis Care through Artificial Intelligence: A Comprehensive Review.Current dermatology reports · 2024Article
- Cross-population applications of genomics to understand the risk of multifactorial traits involving inflammation and immunity.Cambridge prisms. Precision medicine · 2024Review
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
Early diagnosis of psoriatic arthritis (PSA) is important for successful therapeutic intervention but currently remains challenging due, in part, to the scarcity of non-invasive biomarkers. In this study, we performed single cell profiling of transcriptome and cell surface protein expression to compare the peripheral blood immunocyte populations of individuals with PSA, individuals with cutaneous psoriasis (PSO) alone, and healthy individuals. We identified genes and proteins differentially expressed between PSA, PSO, and healthy subjects across 30 immune cell types and observed that some cell types, as well as specific phenotypic subsets of cells, differed in abundance between these cohorts. Cell type-specific gene and protein expression differences between PSA, PSO, and healthy groups, along with 200 previously published genetic risk factors for PSA, were further used to perform machine learning classification, with the best models achieving AUROC ≥ 0.87 when either classifying subjects among the three groups or specifically distinguishing PSA from PSO. Our findings thus expand the repertoire of gene, protein, and cellular biomarkers relevant to PSA and demonstrate the utility of machine learning-based diagnostics for this disease.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.