ArticleArthritis & rheumatology (Hoboken, N.J.)2023
Three Distinct Transcriptional Profiles of Monocytes Associate with Disease Activity in Scleroderma Patients.
Article in Arthritis & rheumatology (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Skin Transcriptomics Reveal Shared Molecular Mechanisms for Skin and Lung Involvement in Systemic Sclerosis.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- Monocyte LOXHD1 and RHOB Expression Predictive of Progressive Systemic Sclerosis-Associated Interstitial Lung Disease.Arthritis care & research · 2026Article
- Integration of bulk RNA-seq pipeline metrics for assessing low-quality samples.BMC bioinformatics · 2026Article
- Harnessing artificial intelligence to advance insights in systemic sclerosis skin and lung disease.Current opinion in rheumatology · 2025Review
- Muscle Tissue Transcriptome of Idiopathic Inflammatory Myopathy Reflects the Muscle Damage Process by Monocytes and Presence of Skin Lesions.Arthritis & rheumatology (Hoboken, N.J.) · 2025Article
- Investigation of the anti-skin aging effects of taurine through mendelian randomization analysis of its relationship with immune cells.Journal of cosmetic dermatology · 2024Article
- Systemic Sclerosis-Associated Pulmonary Arterial Hypertension: From Bedside to Bench and Back Again.International journal of molecular sciences · 2024Review
- Distinct genome-wide DNA methylation and gene expression signatures in classical monocytes from African American patients with systemic sclerosis.Clinical epigenetics · 2023Article
Corrections and comments
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Authors and funding
20 authors at 3 institutions in 1 country.
Funding
Abstract
objectivePatients with diffuse cutaneous systemic sclerosis (dcSSc) display a complex clinical phenotype. Transcriptional profiling of whole blood or tissue from patients are affected by changes in cellular composition that drive gene expression and an inability to detect minority cell populations. We undertook this study to focus on the 2 main subtypes of circulating monocytes, classical monocytes (CMs) and nonclassical monocytes (NCMs) as a biomarker of SSc disease severity.
methodsSSc patients were recruited from the Prospective Registry for Early Systemic Sclerosis. Clinical data were collected, as well as peripheral blood for isolation of CMs and NCMs. Age-, sex-, and race-matched healthy volunteers were recruited as controls. Bulk macrophages were isolated from the skin in a separate cohort. All samples were assayed by RNA sequencing (RNA-seq).
resultsWe used an unbiased approach to cluster patients into 3 groups (groups A-C) based on the transcriptional signatures of CMs relative to controls. Each group maintained their characteristic transcriptional signature in NCMs. Genes up-regulated in group C demonstrated the highest expression compared to the other groups in SSc skin macrophages, relative to controls. Patients from groups B and C exhibited worse lung function than group A, although there was no difference in SSc skin disease at baseline, relative to controls. We validated our approach by applying our group classifications to published bulk monocyte RNA-seq data from SSc patients, and we found that patients without skin disease were most likely to be classified as group A.
conclusionWe are the first to show that transcriptional signatures of CMs and NCMs can be used to unbiasedly stratify SSc patients and correlate with disease activity outcome measures.
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Registered trials
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.